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CN115986798A - Electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination - Google Patents

Electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination Download PDF

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Publication number
CN115986798A
CN115986798A CN202310277937.2A CN202310277937A CN115986798A CN 115986798 A CN115986798 A CN 115986798A CN 202310277937 A CN202310277937 A CN 202310277937A CN 115986798 A CN115986798 A CN 115986798A
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charging
charging station
station
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state
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CN115986798B (en
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陈璐
汪晓彤
周杨俊冉
汪坤
祖晓旭
王海伟
陈朔
黄云龙
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Hefei Power Supply Co of State Grid Anhui Electric Power Co Ltd
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Hefei Power Supply Co of State Grid Anhui Electric Power Co Ltd
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Abstract

The invention belongs to the technical field of charging station electric energy monitoring, and particularly discloses an electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination, which comprises the following steps: extracting a position and related charging data corresponding to a specified charging station in a target city, and charging related data and an entrance position corresponding to a current automobile to be charged; analyzing the chargeable quantity corresponding to the specified charging station to obtain the electric quantity state corresponding to the specified charging station, if the electric quantity state is in a balanced state, analyzing charging change and regulation, if the electric quantity state is in a sufficient state, determining a target charging pile of the current automobile to be charged, and if the electric quantity state is in a loss state, analyzing charging scheduling; the invention effectively solves the problem that the regulation is not carried out according to the supply demand state, not only improves the management efficiency and the management effect of the charging station, but also ensures the feasibility and the reliability of charging the charged automobile and the automobile to be charged.

Description

Electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination
Technical Field
The invention belongs to the technical field of charging station electric energy monitoring, and relates to an electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination.
Background
In the world today, low-carbon economy has been incorporated into the mainstream awareness of the whole society. Under the background, the electric automobile shows wide prospects. As a basis for the development of the electric vehicle industry, the charging station currently has various problems of power grid capacity, power consumption discretization and the like, so that electric energy regulation of the electric vehicle charging station is very important.
At present, the charging regulation of the electric vehicle charging station is mainly used for realizing complementary coordination according to the load of the charging station and the load condition of a power grid, the regulation between the charging station and the power grid is emphasized, the optimal load proportion of a charging station system of the electric vehicle is realized, but the supply of the electric vehicle mainly changes along with the change of the charging demand of the vehicle, namely, the storage electric quantity supply of an energy storage cabinet in the electric vehicle charging station loses balance when the demand of the charging vehicle suddenly increases or decreases. Currently, the regulation is not carried out according to the supply demand state, and the following problems also exist: 1. the current distribution condition that focuses on the electric wire netting is not enough to vehicle charging station's concrete charge data utilization ratio and analysis dynamics, can't improve vehicle charging station's charge management efficiency and charge management effect for vehicle charging station management's harmony is not enough.
When the electric quantity of the charging station is balanced, the supply change condition of the charging station is not comprehensively considered, and when the automobile needs to be charged subsequently, the complexity of electric quantity management of the charging station is increased.
At present, the coordination scheduling is carried out by considering the power grid load firstly, the utilization rate of the stored energy is not increased as one of the main elements, the energy storage abandon rate of the energy storage equipment cannot be reduced, and the power grid load cannot be effectively reduced from the source.
Disclosure of Invention
In view of the above, to solve the problems in the background art, a complementary coordination based electric energy monitoring and adjusting method for an electric vehicle charging station is proposed.
The purpose of the invention can be realized by the following technical scheme: the invention provides an electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination, which comprises the following steps: s1, extracting charging station information: and extracting the position corresponding to the designated charging station in the target city and the related charging data.
S2, extracting information of the automobile to be charged: and extracting charging related data and the entrance position corresponding to the current automobile to be charged.
S3, analyzing the charging electric quantity of the automobile: analyzing the chargeable quantity corresponding to the designated charging station to obtain the electric quantity state corresponding to the designated charging station, if the electric quantity state is in a sufficient state, executing the step S4, if the electric quantity state is in a balanced state, executing the step S31, and if the electric quantity state is in an under-loss state, executing the step S32.
S31, charging regulation and analysis: and analyzing the charging change of the specified charging station, and if the charging change exists, analyzing the charging regulation and control to obtain the regulation and control information corresponding to the specified charging station.
S32, charging scheduling analysis: and carrying out charging scheduling analysis on the appointed charging station to obtain a target scheduling charging station corresponding to the appointed charging station.
S4, confirming and feeding back the charging position: and confirming a target charging pile corresponding to the current automobile to be charged, and starting a voice broadcasting terminal for broadcasting.
Preferably, the related charging data includes basic charging data, historical charging data, and current charging data.
The basic charging data comprise the number of charging piles and the reference charging power of the charging station.
The historical charging data comprises the number of the work charging piles corresponding to each monitoring day in each historical monitoring month and the work time interval of each work charging pile.
The current charging data comprise the number of current idle charging piles, residual electricity storage corresponding to the current idle charging piles, the number of current work charging piles, residual charging time corresponding to the current work charging piles, residual electricity storage and residual electricity storage corresponding to the current energy storage cabinet.
And the charging related data corresponding to the current automobile to be charged comprises battery related data, current residual electric quantity and past charging data.
The battery-related data includes a rated charging current, a rated charging voltage, a rated battery stock and an accumulated age, among others.
The past charging data comprises the past charging times, the corresponding initial charging amount in each past charging, the ending charging amount, the accumulated charging time and the battery temperature rise interval.
Preferably, the analyzing the chargeable quantity corresponding to the specified charging station includes: extracting historical charging data from related charging data of the specified charging station, and setting surplus electric quantity required by the specified charging station
Figure SMS_1
According to the charging relevant data corresponding to the current automobile to be charged, calculating the predicted charging power consumption corresponding to the current automobile to be charged
Figure SMS_2
Positioning the residual charging duration corresponding to each current work charging pile from the related charging data of the appointed charging station
Figure SMS_3
And the remaining charge is greater or less than>
Figure SMS_4
And the residual electric stock corresponding to each current idle charging pile>
Figure SMS_5
Residual electricity stock corresponding to the current energy storage cabinet>
Figure SMS_6
I represents the number of the work charging pile and the device>
Figure SMS_7
J represents the number of the idle charging pile and is greater than or equal to>
Figure SMS_8
Calculating the electric quantity filling index corresponding to the current appointed charging station
Figure SMS_9
Figure SMS_10
Wherein,
Figure SMS_11
for a reference charge-up consumption corresponding to the set unit remaining charge time, a->
Figure SMS_12
Is the set correction factor.
If it is
Figure SMS_13
If yes, then the corresponding electric quantity state of the designated charging station is judged to be the filling state and the status is changed into the status of greater or less>
Figure SMS_14
An index is defined for the set first charge fullness.
If it is
Figure SMS_15
If so, the corresponding electric quantity state of the designated charging station is judged to be the balanced state, and then the corresponding electric quantity state is judged to be the balanced state>
Figure SMS_16
An index is defined for the set second charge fullness.
If it is
Figure SMS_17
Then, the corresponding electric quantity state of the designated charging station is judgedThe status is missing.
Preferably, the setting of the surplus power demand of the specified charging station comprises: extracting the number of the work charging piles corresponding to each monitoring day in the current month of the history from the historical charging data, and screening out the lowest number of the work charging piles
Figure SMS_18
And the number of the charging piles is calculated through the mean value>
Figure SMS_19
And extracting the charging time interval of each work charging pile in each monitoring day in the current month of the history from the historical charging data, and confirming the normal charging time interval corresponding to the specified charging station.
Comparing the current time point with the normal charging time interval corresponding to the appointed charging station to obtain the remaining normal charging time length after the current time point
Figure SMS_20
Calculating surplus electric quantity of specified charging station demand
Figure SMS_21
Figure SMS_22
Wherein,
Figure SMS_23
charging post duty for a set reference job>
Figure SMS_24
Evaluating duty weighting factors and/or based on charging requirements corresponding to the set duty ratio and the set remaining charging duration of the working charging pile>
Figure SMS_25
Evaluating a correction factor for a set charging requirement>
Figure SMS_26
A predicted demand surplus electric quantity corresponding to the set unit charging demand evaluation index, based on the charge status of the battery>
Figure SMS_27
For charging the number of the electric pile, is selected>
Figure SMS_28
The remaining charging period is referred to for setting.
Preferably, the calculating the predicted charging power consumption corresponding to the current automobile to be charged includes: extracting rated charging current from charging related data corresponding to current automobile to be charged
Figure SMS_29
Based on the nominal charging voltage>
Figure SMS_30
And rated battery stock>
Figure SMS_31
And accumulated service life>
Figure SMS_32
And the current remaining charge->
Figure SMS_33
Extracting past charging data from charging related data corresponding to the current automobile to be charged, and setting a battery charging state correction factor
Figure SMS_34
Calculating the predicted charging power consumption corresponding to the current automobile to be charged
Figure SMS_35
Figure SMS_36
Wherein,
Figure SMS_37
for a set compensation battery stock>
Figure SMS_38
To set the charging factor, is>
Figure SMS_39
Figure SMS_40
To set the correction factor.
Preferably, the setting of the battery state of charge correction factor includes: extracting past charging times from past charging data
Figure SMS_41
And counting the past charging frequency>
Figure SMS_42
And the past standard charging times>
Figure SMS_43
And the number of times of charging when the temperature of the past battery reaches the standard>
Figure SMS_44
Calculating battery state of charge correction factor
Figure SMS_45
Figure SMS_46
Wherein,
Figure SMS_47
correcting the estimated compensation factor for setting the battery state of charge, e being a natural constant, based on the measured value of the battery charge>
Figure SMS_48
Normal charging frequency, stable service life, respectively, for a set reference>
Figure SMS_49
Evaluating the duty ratio weight for the battery charging state corresponding to the set charging frequency, standard charging number ratio, age limit deviation, respectively>
Figure SMS_50
The standard charging number ratio and the standard charging number ratio are respectively set as reference.
Preferably, the analyzing the charging variation for the designated charging station includes: historical charging data is extracted from the related charging data corresponding to the specified charging station, and the charging utilization rate corresponding to the specified transformer substation is counted according to the historical charging data
Figure SMS_51
And charge duration rate
Figure SMS_52
。/>
Calculating the current corresponding charge change trend index of the appointed charging station
Figure SMS_53
Figure SMS_54
Wherein,
Figure SMS_55
evaluating the duty ratio weight for the charging variation corresponding to the set charging utilization rate and charging duration rate respectively,
Figure SMS_56
Figure SMS_57
a charge usage rate and a charge duration rate, respectively, which are set references>
Figure SMS_58
A correction factor is evaluated for setting the charging variation.
If it is
Figure SMS_59
Then, thenDetermining that there is a charging variation in the designated charging station, otherwise determining that there is no charging variation in the designated charging station, and->
Figure SMS_60
To set a reference charge variation tendency index.
Preferably, the performing the charging regulation analysis includes: positioning charging station reference charging power from related charging data corresponding to specified charging station
Figure SMS_61
Calculating adaptive charging power corresponding to designated charging station
Figure SMS_62
Figure SMS_63
Wherein,
Figure SMS_64
correspondingly, the charging power value is adjusted appropriately for the charge variation index difference for a given unit>
Figure SMS_65
To set a safe charging power.
Will be provided with
Figure SMS_66
And/or>
Figure SMS_67
And performing difference making to obtain a regulation charging power value corresponding to the specified charging station, and using the regulation charging power value as regulation information.
Preferably, the performing the charging scheduling analysis on the designated charging station includes: extracting positions corresponding to other automobile charging stations in a target city and externally-adjustable electricity storage quantity of energy storage cabinet from automobile charging station management platform
Figure SMS_68
And the accumulated service life of the energy storage cabinet>
Figure SMS_69
And r represents the number of each other vehicle charging station and->
Figure SMS_70
Obtaining distances between the designated charging station location and each of the other vehicle charging station locations
Figure SMS_71
Calculating dispatching recommendation indexes of other vehicle charging stations
Figure SMS_72
And taking the automobile charging station with the maximum scheduling recommendation index as a target scheduling charging station corresponding to the specified charging station.
Wherein,
Figure SMS_73
Figure SMS_74
the scheduling recommendation evaluation weight is correspondingly evaluated for the set distance and the electricity stock respectively, and is based on>
Figure SMS_75
Respectively corresponding to the reference demand scheduling electric quantity for the set unit distance reference transmission power consumption electric quantity and unit electric quantity surplus index difference,
Figure SMS_76
respectively a set reference electrical loss deviation, a reference pick-up electrical quantity deviation, <' > whether or not>
Figure SMS_77
In order to set the electricity storage amount correction factor,
Figure SMS_78
Figure SMS_79
for a set storage fluctuation age, <' >>
Figure SMS_80
The number of vehicle charging stations.
Preferably, the determining a target charging pile corresponding to the current automobile to be charged includes: extracting the position corresponding to each idle charging pile of the appointed charging station from the automobile charging station management platform, and then counting the entrance priority corresponding to each idle charging pile according to the entrance position corresponding to the current automobile to be charged
Figure SMS_81
And manages the priority->
Figure SMS_82
Calculating charging selection suitable indexes corresponding to all idle charging piles
Figure SMS_83
And selecting the idle charging pile with the largest suitable index from the charging piles as a target charging pile corresponding to the current automobile to be charged.
Wherein,
Figure SMS_84
Figure SMS_85
and selecting proper evaluation ratio weights for the charging corresponding to the set entrance priority and the set management priority respectively.
Compared with the prior art, the invention has the following beneficial effects: (1) According to the invention, the chargeable quantity of the specified charging station is analyzed according to the charging related data corresponding to the current automobile to be charged, and the specified charging station and the current automobile to be charged are regulated according to the electric quantity state, so that the problem that the regulation is not carried out according to the supply demand state is effectively solved, the management efficiency and the management effect of the charging station are improved, the feasibility and the reliability of charging the charged automobile and the automobile to be charged are ensured, the coordination and the complementarity of the electric energy management of the automobile charging station are highlighted, and the load pressure of a power grid is reduced.
(2) According to the method and the device, the related charging data of the specified charging station and the related charging data of the current vehicle to be charged are deeply analyzed, the electric quantity fullness index corresponding to the current specified charging station is calculated, the electric quantity state corresponding to the current specified charging station is visually displayed, a reliable reference basis is provided for charging control in the subsequent specified charging station, the management progress of the vehicle charging station is promoted, and the reasonability of electric energy regulation of the charging station is guaranteed.
(3) According to the invention, through charging change analysis and regulation and control when the electric quantity state of the specified charging station is in a balanced state, the management complexity caused by the subsequent increase of automobile charging is effectively avoided, the utilization rate of the electric energy of the energy storage cabinet and the continuity of the electric energy supply are improved, the charging requirement of the subsequent charging automobile is met, and the normative of the specified charging electric energy management is ensured.
(4) According to the invention, when the electric quantity state of the designated charging station is in a loss state, the target scheduling charging station is confirmed through charging scheduling analysis, so that the utilization rate of the stored electric energy in the charging station with lower charging demand is greatly improved, the abandonment rate of the stored electric energy in the charging station with lower charging demand is effectively reduced, the interference and impact of electric energy scheduling on the power grid are avoided by calling the stored electric energy in the charging station with lower supply demand, and the power grid operation load is effectively reduced from the source.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present invention, the drawings used in the description of the embodiments will be briefly introduced below, and it is obvious that the drawings in the following description are only some embodiments of the present invention, and it is obvious for those skilled in the art that other drawings can be obtained according to the drawings without creative efforts.
FIG. 1 is a flow chart illustrating the steps of the method of the present invention.
Fig. 2 is a schematic diagram of the layout of charging pile positions in the invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are only a part of the embodiments of the present invention, and not all of the embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
Referring to fig. 1, the present invention provides a complementary coordination-based electric energy monitoring and adjusting method for an electric vehicle charging station, the method comprising: s1, extracting charging station information: and extracting the corresponding position and the related charging data of the designated charging station in the target city.
Specifically, the relevant charging data includes basic charging data, historical charging data, and current charging data.
The basic charging data comprise the number of charging piles and the reference charging power of the charging station.
The historical charging data comprises the number of the work charging piles corresponding to each monitoring day in each historical monitoring month and the work time interval of each work charging pile.
The current charging data comprise the number of the current idle charging piles, the residual amount corresponding to each current idle charging pile, the number of the current work charging piles, the residual charging time corresponding to each current work charging pile, the residual amount and the residual amount corresponding to the current energy storage cabinet.
S2, extracting information of the automobile to be charged: and extracting charging related data and the entrance position corresponding to the current automobile to be charged.
Specifically, the charging related data corresponding to the current automobile to be charged comprises battery related data, current remaining electric quantity and past charging data.
The battery-related data includes a rated charging current, a rated charging voltage, a rated battery stock and an accumulated service life.
The past charging data comprises the past charging times, the corresponding initial charging amount in each past charging, the ending charging amount, the accumulated charging time and the battery temperature rise interval.
S3, analyzing the charging electric quantity of the automobile: analyzing the chargeable quantity corresponding to the designated charging station to obtain the electric quantity state corresponding to the designated charging station, if the electric quantity state is in a sufficient state, executing the step S4, if the electric quantity state is in a balanced state, executing the step S31, and if the electric quantity state is in an under-loss state, executing the step S32.
For example, the analyzing the chargeable quantity corresponding to the specified charging station includes: a1, extracting historical charging data from related charging data of a specified charging station, and setting surplus electric quantity required by the specified charging station
Figure SMS_86
Understandably, the setting of the surplus electric quantity of the demand of the specified charging station comprises: a1-1, extracting the number of the work charging piles corresponding to each monitoring day in the current month of the history from the historical charging data, and screening out the lowest number of the work charging piles
Figure SMS_87
And the number of the charging piles is calculated through the mean value>
Figure SMS_88
A1-2, extracting the charging time interval of each work charging pile in each monitoring day in the current month of the history from the historical charging data, and confirming the normal charging time interval corresponding to the designated charging station.
It should be noted that the confirming of the normal charging time interval corresponding to the designated charging station specifically includes: and extracting an initial charging time point and an ending charging time point from the charging time intervals of the work charging piles in each monitoring day in the current historical month.
And respectively comparing the initial charging time point and the ending charging time point of each work charging pile in each monitoring day, taking the earliest initial charging time point as the initial charging time point of each monitoring day, and taking the latest ending charging time point as the ending charging time point of each monitoring day, so as to obtain the charging time interval corresponding to each monitoring day.
And taking the charging time interval of the first monitoring day as a reference charging time interval, comparing the charging time intervals corresponding to other monitoring days with the reference charging time interval, and counting the overlapping interval lengths of the charging time intervals corresponding to other monitoring days and the reference charging time interval.
Calculating the contact ratio of the charging time intervals corresponding to other monitoring days through a formula
Figure SMS_89
Specific calculation formula thereof
Figure SMS_90
D denotes a further monitoring day number>
Figure SMS_91
Figure SMS_92
For reference to the length of the charging time interval>
Figure SMS_93
For the length of the overlap interval between the charging time interval corresponding to the other d-th monitoring day and the reference charging time interval, and->
Figure SMS_94
Is a set reference overlap length ratio. />
And comparing the contact ratio of the charging time intervals corresponding to other monitoring days with the contact ratio of the set reference time interval, and if the contact ratio of the charging time intervals corresponding to other monitoring days is greater than the contact ratio of the reference time interval, recording the monitoring day as a charging similar monitoring day, thereby obtaining the number of the charging similar monitoring days corresponding to the first monitoring day.
The charging similar monitoring day number corresponding to other monitoring days is obtained by analyzing the charging similar monitoring day number corresponding to the first monitoring day in sequence
Figure SMS_95
T denotes a monitoring day number>
Figure SMS_96
Statistics of charge time concentration
Figure SMS_97
Figure SMS_98
Wherein,
Figure SMS_99
to set a constant, is>
Figure SMS_100
Figure SMS_101
For setting reference a difference in the number of similarly monitored days>
Figure SMS_102
Indicating the number of monitoring days.
If it is
Figure SMS_103
Selecting one charging time interval from the charging time intervals corresponding to the monitoring days as a normal charging time interval corresponding to the appointed charging station, and if the charging time interval is greater than or equal to the normal charging time interval>
Figure SMS_104
Or->
Figure SMS_105
And taking the charging time interval corresponding to the monitoring day with the maximum number of charging similar monitoring days as the normal charging time interval corresponding to the specified charging station.
A1-3, comparing the current time point with the normal charging time interval corresponding to the appointed charging station to obtain the remaining normal charging time length after the current time point
Figure SMS_106
A1-4, calculating the surplus electricity required by the appointed charging stationMeasurement of
Figure SMS_107
Figure SMS_108
Wherein,
Figure SMS_109
charging post duty for a set reference job>
Figure SMS_110
Evaluating duty weighting factors and/or based on charging requirements corresponding to the set duty ratio and the set remaining charging duration of the working charging pile>
Figure SMS_111
Evaluating a correction factor for a set charge requirement>
Figure SMS_112
A predicted demand surplus electric quantity corresponding to the set unit charging demand evaluation index, based on the charge status of the battery>
Figure SMS_113
For charging the number of the electric pile, is selected>
Figure SMS_114
The remaining charging period is referred to for setting.
A2, calculating the predicted charging power consumption corresponding to the current automobile to be charged according to the charging related data corresponding to the current automobile to be charged
Figure SMS_115
Understandably, calculating the expected charging consumption electric quantity corresponding to the current automobile to be charged comprises the following steps: a2-1, extracting rated charging current from charging related data corresponding to the current automobile to be charged
Figure SMS_116
Based on the nominal charging voltage>
Figure SMS_117
Rated battery stock
Figure SMS_118
And accumulated service life>
Figure SMS_119
And the current amount of charge remaining>
Figure SMS_120
。/>
A2-2, extracting past charging data from charging related data corresponding to the current automobile to be charged, and setting a battery charging state correction factor
Figure SMS_121
Further, setting a battery state of charge correction factor, comprising: extracting past charging times from past charging data
Figure SMS_122
And counting the charging frequency->
Figure SMS_123
And the past standard charging times>
Figure SMS_124
And the number of times of charging for the past battery temperature reaching the standard
Figure SMS_125
It should be noted that, 1) the statistical process of the past charging frequency: specific statistical reference formula of past charging frequency
Figure SMS_126
And (5) counting to obtain.
2) The statistical process of the past standard charging times is as follows: the method comprises the steps of extracting an initial charging amount and a cut-off charging amount corresponding to each charging in the past from past charging information corresponding to a current automobile to be charged, comparing the initial charging amount and the cut-off charging amount with a set reference value, if the initial charging amount or the cut-off charging amount corresponding to a certain charging in the past is smaller than the set reference value, changing the charging in the past into non-standard charging, counting the number of times of non-standard charging, and subtracting the number of times of past charging from the number of times of non-standard charging to obtain the number of times of past standard charging.
3) The statistical process of the charging times when the temperature of the past battery reaches the standard: extracting a battery temperature rise interval corresponding to each past charging from past charging data corresponding to the current automobile to be charged, comparing the battery temperature rise interval corresponding to each past charging with a set reference battery temperature rise interval, and recording the past charging as the battery temperature up-to-standard charging if the battery temperature rise interval corresponding to the past charging is in the set reference temperature rise interval, thereby obtaining the past battery temperature up-to-standard charging times.
Calculating a battery state of charge correction factor
Figure SMS_127
Figure SMS_128
Wherein,
Figure SMS_129
correcting the estimated compensation factor for setting the battery state of charge, e being a natural constant, based on the measured value of the battery charge>
Figure SMS_130
Normal charging frequency, stable service life, respectively, for a set reference>
Figure SMS_131
Evaluating the duty ratio weight for the battery charging state corresponding to the set charging frequency, standard charging number ratio and service life deviation, and/or based on the battery charging state>
Figure SMS_132
The standard charging number ratio and the standard charging number ratio are respectively set as reference.
A2-3, calculating the predicted charging power consumption corresponding to the current automobile to be charged
Figure SMS_133
Figure SMS_134
Wherein,
Figure SMS_135
for a set compensation battery stock>
Figure SMS_136
To set the charging factor, is>
Figure SMS_137
Figure SMS_138
To set the correction factor.
A3, positioning the residual charging duration corresponding to each current work charging pile from the related charging data of the specified charging station
Figure SMS_139
And the remaining charge is greater or less than>
Figure SMS_140
And the residual electric stock corresponding to each current idle charging pile>
Figure SMS_141
Residual charge corresponding to the current energy storage cabinet>
Figure SMS_142
I represents the number of the work charging pile and the device>
Figure SMS_143
J represents the number of the idle charging pile and is greater than or equal to>
Figure SMS_144
A4, calculating the electric quantity fullness index corresponding to the current designated charging station
Figure SMS_145
Figure SMS_146
。/>
Wherein,
Figure SMS_147
for a reference charge-up consumption corresponding to the set unit remaining charge time, a->
Figure SMS_148
Is the set correction factor.
A5, if
Figure SMS_149
If yes, the corresponding electric quantity state of the designated charging station is judged to be the filling state, and the corresponding electric quantity state is judged to be the filling state>
Figure SMS_150
An index is defined for the set first charge fullness.
A6, if
Figure SMS_151
If so, the corresponding electric quantity state of the designated charging station is judged to be the balanced state, and then the corresponding electric quantity state is judged to be the balanced state>
Figure SMS_152
An index is defined for the set second charge fullness.
A7, if
Figure SMS_153
And judging that the electric quantity state corresponding to the appointed charging station is the loss state.
According to the embodiment of the invention, the related charging data of the specified charging station and the charging related data of the current vehicle to be charged are deeply analyzed, the electric quantity fullness index corresponding to the current specified charging station is calculated, the electric quantity state corresponding to the current specified charging station is visually displayed, a reliable reference basis is provided for charging control in the subsequent specified charging station, the management progress of the vehicle charging station is promoted, and the reasonability of electric energy regulation of the charging station is also ensured.
S31, charging regulation and analysis: and analyzing charging variation of the appointed charging station, and if charging variation exists, analyzing charging regulation and control to obtain regulation and control information corresponding to the appointed charging station.
Illustratively, the analyzing the charging variation of the designated charging station includes: historical charging data is extracted from the related charging data corresponding to the specified charging station, and the charging utilization rate corresponding to the specified transformer substation is counted according to the historical charging data
Figure SMS_154
And charge duration->
Figure SMS_155
It should be noted that, the statistical process of the charging utilization rate corresponding to the designated substation is as follows: and carrying out average calculation on the number of the work charging piles corresponding to each monitoring day in each historical monitoring month to obtain the number of the average work charging piles corresponding to each historical monitoring month.
And comparing the average work charging pile number corresponding to each historical monitoring month with the set reference work charging pile number, and if the average work charging pile number corresponding to a certain monitoring month is greater than the set reference work charging pile number, marking the monitoring month as a high-frequency month, so as to obtain the high-frequency month number.
According to the formula
Figure SMS_156
And calculating to obtain the charging utilization rate corresponding to the specified transformer substation.
It should be further noted that, the statistical process of the charging duration rate corresponding to the designated substation is as follows: and charging time intervals of the charging piles corresponding to the monitoring days in the historical monitoring months.
And fusing the charging time intervals of the work charging piles corresponding to the monitoring days in each historical monitoring month to obtain the charging time intervals corresponding to the monitoring days in each historical monitoring month, and further obtain the charging time corresponding to the monitoring days in each historical monitoring month.
And performing average calculation on the charging duration corresponding to each monitoring day in each historical monitoring month to obtain the average single-day charging duration corresponding to each historical monitoring month.
And comparing the average single-day charging time corresponding to each historical monitoring month with the set reference single-day average charging time, and if the average single-day charging time corresponding to a certain monitoring month is greater than the set reference single-day average charging time, recording the monitoring month as a charging continuous month, thereby counting the number of the charging continuous months.
According to the formula
Figure SMS_157
And calculating to obtain the charging duration rate corresponding to the specified transformer substation. />
Calculating the current corresponding charge change trend index of the appointed charging station
Figure SMS_158
Figure SMS_159
Wherein,
Figure SMS_160
evaluating the duty ratio weight for the charging variation corresponding to the set charging utilization rate and charging duration rate respectively,
Figure SMS_161
Figure SMS_162
a charge usage rate and a charge duration rate, respectively, which are set references>
Figure SMS_163
A correction factor is evaluated for setting the charging variation.
If it is
Figure SMS_164
If so, determining that the designated charging station has charging variation, otherwise determining that the designated charging station has no charging variation, and/or>
Figure SMS_165
To set a reference charge variation tendency index.
Further, performing charging regulation analysis, including: positioning charging station reference charging power from related charging data corresponding to specified charging station
Figure SMS_166
Calculating adaptive charging power corresponding to designated charging station
Figure SMS_167
Figure SMS_168
Wherein,
Figure SMS_169
correspondingly, the charging power value is adjusted appropriately for the charge variation index difference for a given unit>
Figure SMS_170
To set a safe charging power.
Will be provided with
Figure SMS_171
And/or>
Figure SMS_172
And performing difference making to obtain a regulation charging power value corresponding to the specified charging station, and using the regulation charging power value as regulation information.
According to the embodiment of the invention, the charging change is analyzed and regulated when the electric quantity state of the specified charging station is in a balanced state, so that the management complexity caused by the subsequent increase of automobile charging is effectively avoided, the utilization rate of the electric energy of the energy storage cabinet and the continuity of electric energy supply are improved, the charging requirement of the subsequent charging automobile is met, and the normative of the specified charging electric energy management is ensured.
S32, charging scheduling analysis: and carrying out charging scheduling analysis on the appointed charging stations to obtain target scheduling charging stations corresponding to the appointed charging stations.
Illustratively, the charge scheduling is performed for a designated charging stationAnd (3) resolving, including: extracting positions corresponding to other automobile charging stations in a target city and externally-adjustable electricity storage quantity of energy storage cabinet from automobile charging station management platform
Figure SMS_173
And the accumulated service life of the energy storage cabinet
Figure SMS_174
And r represents the number of each other vehicle charging station and->
Figure SMS_175
Obtaining distances between the designated charging station location and each of the other vehicle charging station locations
Figure SMS_176
Calculating dispatching recommendation indexes of other vehicle charging stations
Figure SMS_177
And taking the automobile charging station with the maximum scheduling recommendation index as a target scheduling charging station corresponding to the specified charging station.
Wherein,
Figure SMS_178
Figure SMS_179
the scheduling recommendation evaluation weight is correspondingly evaluated for the set distance and the electricity stock respectively, and is based on>
Figure SMS_180
Respectively corresponding to the reference demand scheduling electric quantity for the set unit distance reference transmission power consumption electric quantity and unit electric quantity surplus index difference,
Figure SMS_181
respectively a set reference electrical loss deviation, a reference pickup electrical quantity deviation>
Figure SMS_182
To set upThe electricity storage amount correction factor is used for correcting the electricity storage amount,
Figure SMS_183
Figure SMS_184
for a set storage fluctuation age, <' >>
Figure SMS_185
The number of vehicle charging stations. />
According to the embodiment of the invention, the chargeable quantity of the specified charging station is analyzed according to the charging related data corresponding to the current automobile to be charged, and the specified charging station and the current automobile to be charged are regulated according to the electric quantity state, so that the problem that the regulation is not carried out according to the supply demand state is effectively solved, the management efficiency and the management effect of the charging station are improved, the charging feasibility and the charging reliability of the charged automobile and the automobile to be charged are ensured, the coordination and the complementarity of the electric energy management of the automobile charging station are highlighted, and the load pressure of a power grid is reduced.
According to the invention, when the electric quantity state of the designated charging station is in a loss state, the target scheduling charging station is confirmed through charging scheduling analysis, so that the utilization rate of the stored electric energy in the charging station with lower charging demand is greatly improved, the abandonment rate of the stored electric energy in the charging station with lower charging demand is effectively reduced, the interference and impact of electric energy scheduling on the power grid are avoided by calling the stored electric energy in the charging station with lower supply demand, and the power grid operation load is effectively reduced from the source.
S4, confirming and feeding back the charging position: and confirming a target charging pile corresponding to the current automobile to be charged, and starting a voice broadcasting terminal for broadcasting.
Referring to fig. 2, specifically, the determining of the target charging pile corresponding to the current car to be charged includes: extracting the position corresponding to each idle charging pile of the appointed charging station from the automobile charging station management platform, and then counting the entrance priority corresponding to each idle charging pile according to the entrance position corresponding to the current automobile to be charged
Figure SMS_186
And manages the priority->
Figure SMS_187
It should be noted that the statistical process of the entry priority is as follows: and acquiring the distance between the position of each idle charging pile and the entrance position corresponding to the current automobile to be charged as the driving-in distance of each idle charging pile.
And carrying out average value calculation on the driving-in distance of each idle charging pile, and taking the calculation result as a reference driving-in distance.
According to the formula
Figure SMS_188
And calculating to obtain the driving-in priority corresponding to each idle charging pile.
It should be further noted that the specific statistical process of the management priority corresponding to each idle charging pile is as follows: optionally, one charging pile is selected as a reference charging pile in each idle charging pile.
The types of the left charging pile and the right charging pile corresponding to the reference charging pile are extracted from the automobile charging station management platform.
And positioning the management priority corresponding to the reference charging pile from the management priority reference table according to the types of the left charging pile and the right charging pile corresponding to the reference charging pile.
Obtaining the corresponding management priority of other idle charging piles according to the same manner of obtaining the corresponding management priority of the reference charging pile, and obtaining the corresponding management priority of each idle charging pile
Figure SMS_189
In which>
Figure SMS_190
Takes a value of W1 or W2 or W3 or W4 or W5 or W6, wherein>
Figure SMS_191
In a specific embodiment, W2, W1, W5, W3, W6, W4 may take values of 0.85, 0.7, 0.6, 0.45, 0.3, 0.1 in sequence, and the management priority reference table takes month 1 as an example, which is specifically shown in table 1 below.
Table 1 management priority reference table
Left side charging pile type Type of right side charging pile Managing priority
Work fills electric pile Work fills electric pile W1
Work charging pile Idle charging pile W2
Idle charging pile Work charging pile W3
Idle charging pile Idle charging pile W4
Work fills electric pile Is free of W5
Idle charging pile Is composed of W6
Calculating charging selection suitable indexes corresponding to all idle charging piles
Figure SMS_192
And selecting the idle charging pile with the largest suitable index as the target charging pile corresponding to the current automobile to be charged.
Wherein,
Figure SMS_193
Figure SMS_194
and selecting appropriate evaluation proportion weights for the charging corresponding to the set entrance priority and the set management priority respectively.
According to the embodiment of the invention, through carrying out charging selection analysis from two dimensions of the management priority and the entrance priority, the defects existing in the current charging position selection only according to the distance level are avoided, the charging selection rationality of the vehicle to be charged is improved, and the normative and the convenience of the management of the charged vehicles in the charging station are also improved.
The foregoing is merely exemplary and illustrative of the principles of this invention and various modifications, additions and substitutions of similar embodiments may be made to the specific embodiments described by those skilled in the art without departing from the principles or exceeding the scope of the invention as defined in the claims.

Claims (10)

1. The electric energy monitoring and adjusting method of the electric vehicle charging station based on complementary coordination is characterized by comprising the following steps of: the method comprises the following steps:
s1, extracting charging station information: extracting a position and related charging data corresponding to a designated charging station in a target city;
s2, extracting information of the automobile to be charged: extracting charging related data corresponding to the current automobile to be charged and the position of an entrance of the automobile to be charged;
s3, analyzing the charging electric quantity of the automobile: analyzing the chargeable quantity corresponding to the designated charging station to obtain the electric quantity state corresponding to the designated charging station, if the electric quantity state is a sufficient state, executing the step S4, if the electric quantity state is a balanced state, executing the step S31, and if the electric quantity state is an under-loss state, executing the step S32;
s31, charging regulation and analysis: carrying out charging change analysis on the appointed charging station, and if charging change exists, carrying out charging regulation and control analysis to obtain regulation and control information corresponding to the appointed charging station;
s32, charging scheduling analysis: performing charging scheduling analysis on the designated charging station to obtain a target scheduling charging station corresponding to the designated charging station;
s4, confirming and feeding back the charging position: and confirming a target charging pile corresponding to the current automobile to be charged, and starting a voice broadcasting terminal for broadcasting.
2. The electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination of claim 1, characterized in that: the related charging data comprises basic charging data, historical charging data and current charging data;
the basic charging data comprise the number of charging piles and the reference charging power of the charging station;
the historical charging data comprises the number of the work charging piles corresponding to each monitoring day in each historical monitoring month and the work time interval of each work charging pile;
the current charging data comprise the number of current idle charging piles, the residual electric quantity corresponding to each current idle charging pile, the number of current working charging piles, the residual charging time corresponding to each current working charging pile, the residual electric quantity and the residual electric quantity corresponding to the current energy storage cabinet;
the charging related data corresponding to the current automobile to be charged comprises battery related data, current residual quantity and past charging data;
the battery related data comprises rated charging current, rated charging voltage, rated battery stock and accumulated service life;
the past charging data comprises the past charging times, the corresponding initial charging amount in each past charging, the ending charging amount, the accumulated charging time and the battery temperature rise interval.
3. The electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination of claim 2, characterized in that: the analyzing the chargeable quantity corresponding to the designated charging station comprises the following steps:
extracting historical charging data from related charging data of the specified charging station, and setting surplus electric quantity required by the specified charging station
Figure QLYQS_1
;
According to the charging relevant data corresponding to the current automobile to be charged, calculating the predicted charging power consumption corresponding to the current automobile to be charged
Figure QLYQS_2
Positioning the residual charging duration corresponding to each current work charging pile from the related charging data of the appointed charging station
Figure QLYQS_4
And the remaining charge is greater or less than>
Figure QLYQS_6
And the residual electric stock corresponding to each current idle charging pile>
Figure QLYQS_8
Residual electricity stock corresponding to the current energy storage cabinet>
Figure QLYQS_5
I represents the number of the work charging pile and/or the number of the work charging pile>
Figure QLYQS_7
J represents the number of the idle charging pile and is greater than or equal to>
Figure QLYQS_9
(ii) a Calculating the electric quantity filling index corresponding to the current designated charging station>
Figure QLYQS_10
Figure QLYQS_3
;/>
Wherein,
Figure QLYQS_11
a reference charge power consumption amount corresponding to a set unit remaining charge time period, device for selecting or keeping>
Figure QLYQS_12
Is a set correction factor;
if it is
Figure QLYQS_13
If yes, the corresponding electric quantity state of the designated charging station is judged to be the filling state, and the corresponding electric quantity state is judged to be the filling state>
Figure QLYQS_14
Defining an index for a set first charge fullness;
if it is
Figure QLYQS_15
If so, the corresponding electric quantity state of the designated charging station is judged to be the balanced state, and then the corresponding electric quantity state is judged to be the balanced state>
Figure QLYQS_16
Defining an index for the set second charge fullness;
if it is
Figure QLYQS_17
And judging that the electric quantity state corresponding to the appointed charging station is the loss state.
4. The electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination of claim 3, characterized in that: the surplus electric quantity of the demand of the designated charging station is set, and the surplus electric quantity comprises the following steps:
extracting the number of the work charging piles corresponding to each monitoring day in the current month of the history from the historical charging data, and screening out the lowest number of the work charging piles
Figure QLYQS_18
And the number of the charging piles is calculated through the mean value>
Figure QLYQS_19
Extracting the charging time interval of each work charging pile in each monitoring day in the current month of the history from the historical charging data, and confirming the normal charging time interval corresponding to the appointed charging station;
comparing the current time point with the normal charging time interval corresponding to the appointed charging station to obtain the remaining normal charging time length after the current time point
Figure QLYQS_20
Calculating surplus electric quantity of specified charging station demand
Figure QLYQS_21
Figure QLYQS_22
Wherein,
Figure QLYQS_23
charging post duty for a set reference job>
Figure QLYQS_24
Evaluating duty weighting factors and/or based on charging requirements corresponding to the set duty ratio and the set remaining charging duration of the working charging pile>
Figure QLYQS_25
Evaluating a correction factor for a set charging requirement>
Figure QLYQS_26
A predicted demand surplus electric quantity corresponding to the set unit charging demand evaluation index, based on the charge status of the battery>
Figure QLYQS_27
For charging pile number, based on the charging pile number>
Figure QLYQS_28
The remaining charging period is referred to for setting.
5. The electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination of claim 3, characterized in that: the calculating the predicted charging power consumption corresponding to the current automobile to be charged comprises the following steps:
extracting rated charging current from charging related data corresponding to current automobile to be charged
Figure QLYQS_29
Based on the nominal charging voltage>
Figure QLYQS_30
And rated battery stock>
Figure QLYQS_31
And accumulated service life>
Figure QLYQS_32
And the current remaining charge->
Figure QLYQS_33
Extracting past charging data from charging related data corresponding to the current automobile to be charged, and setting a battery charging state correction factor
Figure QLYQS_34
Calculating the corresponding predicted charging power consumption of the current automobile to be charged
Figure QLYQS_35
Figure QLYQS_36
;
Wherein,
Figure QLYQS_37
for a set compensation battery stock>
Figure QLYQS_38
For setting a charging factor>
Figure QLYQS_39
Figure QLYQS_40
To set the correction factor.
6. The electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination of claim 5, characterized in that: the setting of the battery state of charge correction factor includes:
extracting past charging times from past charging data
Figure QLYQS_41
And counting the charging frequency->
Figure QLYQS_42
And the past standard charging times>
Figure QLYQS_43
And the number of times of charging when the temperature of the past battery reaches the standard>
Figure QLYQS_44
Calculating battery state of charge correction factor
Figure QLYQS_45
Figure QLYQS_46
Wherein,
Figure QLYQS_47
correcting the estimated compensation factor for setting the battery state of charge, e being a natural constant, based on the measured value of the battery charge>
Figure QLYQS_48
Normal charging frequency, stable service life, respectively, for a set reference>
Figure QLYQS_49
Evaluating the duty ratio weight for the battery charging state corresponding to the set charging frequency, standard charging number ratio and service life deviation, and/or based on the battery charging state>
Figure QLYQS_50
The standard charging number ratio and the standard charging number ratio are respectively set as reference.
7. The electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination of claim 2, characterized in that: the analysis of charging change to the appointed charging station includes:
historical charging data is extracted from the related charging data corresponding to the specified charging station, and the charging utilization rate corresponding to the specified transformer substation is counted according to the historical charging data
Figure QLYQS_51
And charge duration->
Figure QLYQS_52
Calculating a specified chargeStation current corresponding charge variation trend index
Figure QLYQS_53
Figure QLYQS_54
Wherein,
Figure QLYQS_55
evaluating duty weights for the charge usage and charge duration corresponding to the charge variation, respectively>
Figure QLYQS_56
Figure QLYQS_57
Charge utilization rate, charge duration rate, respectively, for a set reference>
Figure QLYQS_58
Evaluating a correction factor for a set charge variation;
if it is
Figure QLYQS_59
If so, determining that the designated charging station has charging variation, otherwise determining that the designated charging station has no charging variation, and/or>
Figure QLYQS_60
To set a reference charge variation tendency index.
8. The electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination of claim 7, characterized in that: the performing of the charging regulation and control analysis includes:
positioning charging station reference charging power from related charging data corresponding to specified charging station
Figure QLYQS_61
Calculating adaptive charging power corresponding to designated charging station
Figure QLYQS_62
Figure QLYQS_63
Wherein,
Figure QLYQS_64
adjusting the charging power value correspondingly suitably for a set unit charge fluctuation trend index difference>
Figure QLYQS_65
Setting safe charging power;
will be provided with
Figure QLYQS_66
And/or>
Figure QLYQS_67
And performing difference making to obtain a regulation charging power value corresponding to the specified charging station, and using the regulation charging power value as regulation information.
9. The electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination of claim 4, characterized in that: the dispatch of charging is analytic to appointed charging station, include:
extracting positions corresponding to other automobile charging stations in a target city and externally-adjustable electricity storage quantity of energy storage cabinet from automobile charging station management platform
Figure QLYQS_68
And the accumulated service life of the energy storage cabinet>
Figure QLYQS_69
And r represents the number of each other vehicle charging station and->
Figure QLYQS_70
Obtaining distances between the designated charging station location and each of the other vehicle charging station locations
Figure QLYQS_71
;/>
Calculating dispatching recommendation indexes of other vehicle charging stations
Figure QLYQS_72
Taking the vehicle charging station with the maximum scheduling recommendation index as a target scheduling charging station corresponding to the designated charging station; wherein,
Figure QLYQS_73
Figure QLYQS_74
the scheduling recommendation evaluation weight is correspondingly evaluated for the set distance and the electricity stock respectively, and is based on>
Figure QLYQS_75
Respectively scheduling electric quantity for the set unit distance reference transmission power consumption and unit electric quantity surplus index difference corresponding to the reference demand,
Figure QLYQS_76
respectively a set reference electrical loss deviation, a reference pick-up electrical quantity deviation, <' > whether or not>
Figure QLYQS_77
In order to set the electricity storage amount correction factor,
Figure QLYQS_78
Figure QLYQS_79
for a set age of storage fluctuation>
Figure QLYQS_80
The number of vehicle charging stations.
10. The electric vehicle charging station electric energy monitoring and adjusting method based on complementary coordination of claim 3, characterized in that: confirm the target charging stake that waits to charge car at present and correspond, include:
extracting the position corresponding to each idle charging pile of the appointed charging station from the automobile charging station management platform, and then counting the entrance priority corresponding to each idle charging pile according to the entrance position corresponding to the current automobile to be charged
Figure QLYQS_81
And manages the priority->
Figure QLYQS_82
Calculating charging selection suitable indexes corresponding to all idle charging piles
Figure QLYQS_83
Selecting the idle charging pile with the largest suitable index from the idle charging piles as a target charging pile corresponding to the current automobile to be charged;
wherein,
Figure QLYQS_84
Figure QLYQS_85
and selecting proper evaluation ratio weights for the charging corresponding to the set entrance priority and the set management priority respectively. />
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