CN105717457B - A method of it is analyzed using large database concept and carries out battery state-of-health estimation - Google Patents
A method of it is analyzed using large database concept and carries out battery state-of-health estimation Download PDFInfo
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- CN105717457B CN105717457B CN201610077558.9A CN201610077558A CN105717457B CN 105717457 B CN105717457 B CN 105717457B CN 201610077558 A CN201610077558 A CN 201610077558A CN 105717457 B CN105717457 B CN 105717457B
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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Abstract
The invention discloses a kind of methods analyzed using large database concept and carry out battery state-of-health estimation, and the method comprising the steps of:In vehicle operation, battery status amount is sent to vehicle operation data library server by telecommunication by the battery management system of electric car, while vehicle operating information is simultaneously sent to vehicle operation data library server by onboard system;Vehicle operation data library server collects Life cycle data, calibration SOH mapping table is obtained with big data analysis, later vehicle operation data library server presses received battery status amount, vehicle operating information, SOH estimation is carried out in conjunction with calibration SOH mapping table, and SOH estimated value is sent back electric car.Method of the invention does not depend on single battery original theory data, removes the error that battery group and work condition environment estimate SOH;And big data analysis is used, the SOH value of electric car can be made to estimate more accurate.
Description
Technical field
The present invention relates to the technical fields of electric car, more specifically, be related to it is a kind of using large database concept analyze into
The method of row battery state-of-health estimation.
Background technique
For electric car, power battery is a kind of very universal energy-storage travelling wave tube, and performance plays vehicle performance
Decisive action, and in power battery, using lithium ion battery as important energy-accumulating medium, obtained widely in new energy field
Using.
Aging or deterioration necessarily occurs since battery is used for a long time, thus must estimate the health status (State of battery
Of Health, SOH), also referred to as service life state, also some is known as aging conditions, degradation or settles battery.Battery SOH
Standard to define be power battery is released from full state with certain multiplying power discharging to blanking voltage at the standard conditions appearance
The ratio of amount and the nominal capacity corresponding to it, which is a kind of reflection of battery health.Briefly, that is, it is electric
The ratio of the pond actual value of certain performance parameters that can directly survey or be calculated indirectly and nominal value after a period of use is used
Come judge battery health decline after state, measure the health degree of battery.
Estimation measurement method that is practical at present or theoretically carrying out battery SOH includes as follows:
1, direct electric discharge.It is reliable method generally acknowledged in the industry to single battery SOH evaluation currently with load, but this
There are some disadvantages for method:The SOH for needing off-line test battery is realized for Vehicular dynamic battery and is stranded;Test load compared with
Heaviness, it is inconvenient for operation;If discharge process probably needs 10 hours with 0.1C multiplying power discharging, the testing time is too long.
2, internal resistance method.SOH is mainly estimated by establishing the relationship between internal resistance and SOH, a large amount of open source literatures are all
Illustrate there is determining corresponding relationship between the internal resistance of cell and SOH, can be briefly described for:With the increasing of service time of battery
Long, the internal resistance of cell is increasing, and will affect battery capacity, so as to estimate SOH.There are some disadvantages for this method:Research hair
Now after battery capacity has dropped original 25% to 30%, the internal resistance of cell just has obvious variation, and provides in standard
When battery capacity drops to 80%, battery should be just replaced, so wanting the SOH of real-time estimation battery by this method
Difficulty is larger, and internal resistance of cell very little, usually milliohm grade, belongs to small signal, relatively more tired to accurately measure the internal resistance of cell
It is difficult.
3, electrochemical analysis.This method main thought is to apply multiple sinusoidal signals, the frequency of these signals to battery
Rate is different, and is then analyzed with fuzzy theory collected data information, is predicted the current performance of battery.But use this
Before method, need to do a large amount of data collection and analysis, to obtain the characteristic of such battery, and test equipment cost also compared with
For valuableness.
4, modelling.The main thought of this method is the chemical reaction analyzing inside battery and being occurred, based on this
The model for establishing battery calculates the decaying of battery capacity with this model, to obtain the SOH of battery.But this method needs are recognized
True analysis inside battery chemical reaction, and know some intrinsic parameters of battery, braised, entropy of activation etc. is such as activated, and before utilization
It is also required to do the test largely about battery life, tested number is big, and difficulty is larger, time-consuming also longer.
Summary of the invention
It is an object of the invention to overcome drawbacks described above in the prior art, provide a kind of using large database concept analysis progress
The method of battery state-of-health estimation, does not depend on the original theory data of single battery, removes battery group and uses work
The error that condition environment estimates SOH.
To achieve the above object, technical solution provided by the invention is as follows:
The present invention provides a kind of method analyzed using large database concept and carry out battery state-of-health estimation, this method bases
In the battery management system of electric car, onboard system and vehicle operation data library server, include the following steps:
(1) when electric car is run, battery management system record battery status amount is simultaneously sent to vehicle operation data in real time
Library server, onboard system record vehicle operating information are simultaneously sent to vehicle operation data library server in real time;
(2) vehicle operation data library server carries out at data the battery status amount and vehicle operating information received in real time
Reason, it is synchronous to save synchronization battery status amount and vehicle operating information;
(3) vehicle operation data library server collects battery status amount and vehicle operation in electric car Life cycle
It is analyzed after information data, calculates the relationship of each real-time SOH value corresponding battery status amount and vehicle operating information, formed
Calibrate SOH mapping table;
(4) new battery status amount and new vehicle operating information are sent to vehicle operation in driving process by electric car
Database server, vehicle operation data library server is by calibration SOH mapping table, according to new battery status amount and new vehicle
Operation information obtains corresponding calibration SOH value, and calibration SOH value is sent back the battery management system of electric car and vehicle-mounted
System.
Preferably, in step (1), the battery status amount includes battery capacity, total voltage, monomer voltage, electricity
Stream and battery temperature.
Preferably, in step (1), the vehicle operating information includes running conditions of vehicle, operation road conditions, operation
Speed, mileage travelled and output power.
Preferably, in step (1), the battery management system and vehicle operation data library server are used
Wireless telecommunications;The onboard system and vehicle operation data library server use wireless telecommunications.
Preferably, in step (2), vehicle operation data library server is associated with several electronic vapour simultaneously
Vehicle, and receive the battery status amount and vehicle operating information data of all electric cars.
Preferably, in step (4), the electric car calibrates SOH value based on the received and carries out state-of-charge
(SOC) estimation or power budget.
Compared with prior art, the beneficial effects of the present invention are:
1, method of the invention, which does not depend on single battery original theory data, can carry out SOH estimation.
2, the error that method of the invention removes battery group and applying working condition environment estimates SOH.
3, method combination actual operating data of the invention, by recording a large amount of battery status amount and vehicle operating information
Data obtain relationship and the formation of each real-time SOH value corresponding battery status amount and vehicle operating information by big data analysis
SOH mapping table is calibrated, the SOH value of electric car can be made to estimate more accurate;And with being collected into the full Life Cycle of more vehicles
Issue evidence constantly updates SOH mapping relations by big data analysis tool, SOH estimation precision can be improved.
Detailed description of the invention
In order to more clearly explain the embodiment of the invention or the technical proposal in the existing technology, to embodiment or will show below
There is attached drawing needed in technical description to be briefly described, it should be apparent that, the accompanying drawings in the following description is the present invention
Some embodiments for those of ordinary skill in the art without creative efforts, can also basis
These attached drawings obtain other attached drawings.
Fig. 1 is the method for analyzing progress battery state-of-health estimation using large database concept that the embodiment of the present invention one provides
Flow chart;
Fig. 2 is the method provided by Embodiment 2 of the present invention analyzed using large database concept and carry out battery state-of-health estimation
Flow chart;
Fig. 3 is the method provided by Embodiment 2 of the present invention analyzed using large database concept and carry out battery state-of-health estimation
Schematic diagram.
Specific embodiment
In order to make the object, technical scheme and advantages of the embodiment of the invention clearer, below in conjunction with the embodiment of the present invention
In attached drawing, technical scheme in the embodiment of the invention is clearly and completely described, it is clear that described embodiment is
A part of the embodiment of the present invention, instead of all the embodiments.Based on the embodiments of the present invention, those of ordinary skill in the art
Every other embodiment obtained without creative efforts, shall fall within the protection scope of the present invention.
Embodiment one
The embodiment of the present invention one provides a kind of side for analyzing using large database concept and carrying out battery state-of-health estimation
Method, Fig. 1 is the method flow diagram of the embodiment of the present invention one, referring to FIG. 1, the method for the embodiment of the present invention includes the following steps:
Step S101, when electric car is run, battery management system starts battery status amount record, while opening long-range logical
Battery status amount, is sent back vehicle operation data library server by news in real time;The onboard system record vehicle operation of electric car
Information is simultaneously sent to vehicle operation data library server in real time;
The battery status amount includes battery capacity, total voltage, monomer voltage, electric current and battery temperature;
The vehicle operating information includes running conditions of vehicle, operation road conditions, the speed of service, mileage travelled and output work
Rate;
Step S102, vehicle operation data library server carries out the battery status amount and vehicle operating information received in real time
Data processing, it is synchronous to save synchronization battery status amount and vehicle operating information;
Step S103, vehicle operation data library server is collected into the electric car Life cycle of aequum data
After battery status amount and vehicle operating information data, with big data analysis tool, corresponding various electricity under each SOH value are calculated
The relational graph of pond quantity of state and vehicle operating information forms calibration SOH mapping table, is stored in vehicle operation data library server;
Step S104, when electric car is run, the electricity of vehicle operation data library server is sent back in real time by electric car
Pond quantity of state and vehicle operating information are estimated the SOH value of each batteries of electric automobile group by calibration SOH mapping table, and SOH
Value sends back the battery management system and onboard system of electric car;
Electric car carries out SOC estimation, power budget etc. by the SOH value received, more effective that battery is protected to extend battery
Service life;
Step S105, with the Life cycle data for being collected into more electric cars, not by big data analysis tool
It is disconnected to update calibration SOH mapping table, improve SOH estimation precision.
The operation principle of the present invention is that:In vehicle operation, the battery management system of electric car is by remotely leading to
Battery status amount is sent to vehicle operation data library server by news, while onboard system is running conditions of vehicle, operation road conditions, fortune
The vehicle operating informations such as scanning frequency degree, mileage travelled, output power are simultaneously sent to vehicle operation data library server;Vehicle operation
Database server collects rolling stock Life cycle data and obtains various battery status amounts and vehicle with big data analysis
Battery pack SOH value under operation information forms calibration SOH and estimates relationship graph;Later vehicle operation data library server is pressed
The battery status amount and vehicle operating information of the electric car received carry out SOH in conjunction with calibration SOH estimation relationship graph and estimate
It calculates, and calibration SOH estimated value is sent back the battery management system and onboard system of electric car.
Embodiment two
The embodiment of the present invention two provides a kind of side for analyzing using large database concept and carrying out battery state-of-health estimation
Method, battery management system, onboard system and vehicle operation data library server of this method based on electric car.Fig. 2 is this
The method flow diagram of inventive embodiments two, Fig. 3 are the schematic diagrams of two the method for the embodiment of the present invention, please refer to Fig. 2 and Fig. 3,
The method of the embodiment of the present invention two includes the following steps:
When S201, electric car operation, battery management system record battery status amount is simultaneously sent to vehicle operation number in real time
According to library server, onboard system record vehicle operating information is simultaneously sent to vehicle operation data library server in real time;
The battery status amount includes battery capacity, total voltage, monomer voltage, electric current and battery temperature;
The vehicle operating information includes running conditions of vehicle, operation road conditions, the speed of service, mileage travelled and output work
Rate;
The battery management system and vehicle operation data library server use wireless telecommunications;The onboard system with
Vehicle operation data library server uses wireless telecommunications;
S202, vehicle operation data library server carry out data to the battery status amount and vehicle operating information received in real time
Processing, it is synchronous to save synchronization battery status amount and vehicle operating information;
Vehicle operation data library server is associated with several electric cars simultaneously, and receives the electricity of all electric cars
Pond quantity of state and vehicle operating information data;
S203, vehicle operation data library server collect battery status amount and vehicle fortune in electric car Life cycle
It is analyzed after row information data, calculates the relationship of each real-time SOH value corresponding battery status amount and vehicle operating information, shape
At calibration SOH mapping table;
New battery status amount and new vehicle operating information are sent to vehicle fortune in driving process by S204, electric car
Row database server, vehicle operation data library server pass through calibration SOH mapping table, according to new battery status amount and newly
Vehicle operating information obtains corresponding calibration SOH value, and calibration SOH value is sent back the battery management system and vehicle of electric car
Loading system.The electric car calibrates SOH value based on the received and carries out state-of-charge (SOC) estimation or power budget.
The present embodiment method, which does not depend on single battery original theory data, can carry out SOH estimation, and remove battery
The error that SOH is estimated with applying working condition environment in groups.
The present embodiment method combination actual operating data, by recording a large amount of battery status amount and vehicle operating information number
According to obtaining the relationship of the corresponding battery status amount of each real-time SOH value and vehicle operating information and form school by big data analysis
Quasi- SOH mapping table can be such that the SOH value of electric car estimates more accurate;And with being collected into more vehicle Life cycle
Data constantly update SOH mapping relations by big data analysis tool, SOH estimation precision can be improved.
The above embodiment is a preferred embodiment of the present invention, but embodiments of the present invention are not by above-described embodiment
Limitation, other any changes, modifications, substitutions, combinations, simplifications made without departing from the spirit and principles of the present invention,
It should be equivalent substitute mode, be included within the scope of the present invention.
Claims (6)
1. a kind of analyze the method for carrying out battery state-of-health estimation using large database concept, which is characterized in that this method is based on
Battery management system, onboard system and the vehicle operation data library server of electric car, include the following steps:
(1) when electric car is run, battery management system record battery status amount is simultaneously sent to vehicle operation data library clothes in real time
Business device, onboard system record vehicle operating information are simultaneously sent to vehicle operation data library server in real time;
(2) vehicle operation data library server carries out data processing to the battery status amount and vehicle operating information received in real time,
It is synchronous to save synchronization battery status amount and vehicle operating information;
(3) vehicle operation data library server collects battery status amount and vehicle operating information in electric car Life cycle
It is analyzed after data, calculates the relationship of each real-time SOH value corresponding battery status amount and vehicle operating information, form calibration
SOH mapping table;
(4) new battery status amount and new vehicle operating information are sent to vehicle operation data in driving process by electric car
Library server, vehicle operation data library server are transported by calibration SOH mapping table according to new battery status amount and new vehicle
Row information obtains corresponding calibration SOH value, and calibration SOH value send back electric car battery management system and vehicle-mounted system
System.
2. according to claim 1 analyze the method for carrying out battery state-of-health estimation, feature using large database concept
It is, in step (1), the battery status amount includes battery capacity, total voltage, monomer voltage, electric current and battery temperature.
3. according to claim 1 analyze the method for carrying out battery state-of-health estimation, feature using large database concept
Be, in step (1), the vehicle operating information include running conditions of vehicle, operation road conditions, the speed of service, mileage travelled and
Output power.
4. according to claim 1 analyze the method for carrying out battery state-of-health estimation, feature using large database concept
It is, in step (1), the battery management system and vehicle operation data library server use wireless telecommunications;The vehicle
Loading system and vehicle operation data library server use wireless telecommunications.
5. according to claim 1 analyze the method for carrying out battery state-of-health estimation, feature using large database concept
It is, in step (4), the electric car calibrates SOH value based on the received and carries out state-of-charge estimation or power budget.
6. according to claim 1-5 analyze the side for carrying out battery state-of-health estimation using large database concept
Method, which is characterized in that vehicle operation data library server is associated with several electric cars simultaneously, and receives all electronic vapour
The battery status amount and vehicle operating information data of vehicle.
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---|---|---|---|---|
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KR20210077065A (en) | 2019-12-16 | 2021-06-25 | 현대자동차주식회사 | System and method for controlling degradation of power relay assembly for vehicle |
CN111242172A (en) * | 2019-12-31 | 2020-06-05 | 浙江吉利新能源商用车集团有限公司 | Battery portrait label generation method and device |
CN112698232A (en) * | 2020-12-14 | 2021-04-23 | 尼讯(上海)科技有限公司 | Battery health state tracking cloud system based on battery detection |
CN113836714A (en) * | 2021-09-22 | 2021-12-24 | 重庆云宸新能源科技有限公司 | Multi-constraint battery available power estimation system and method based on battery state |
Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102866361A (en) * | 2012-08-31 | 2013-01-09 | 惠州市亿能电子有限公司 | SOH (state-of-health) online estimation method of battery pack |
CN104931886A (en) * | 2014-03-20 | 2015-09-23 | 现代摩比斯株式会社 | Apparatus and method for estimating deterioration of battery pack |
CN105021996A (en) * | 2015-08-04 | 2015-11-04 | 深圳拓普科新能源科技有限公司 | Battery SOH (section of health) estimation method of energy storage power station BMS (battery management system) |
CN105158698A (en) * | 2015-08-28 | 2015-12-16 | 江苏大学 | Battery pack state of health online estimation method based on charging voltage curve |
Family Cites Families (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102959418B (en) * | 2010-06-24 | 2016-04-27 | 松下知识产权经营株式会社 | Obtain the method and system of the impairment grade of battery |
-
2016
- 2016-02-03 CN CN201610077558.9A patent/CN105717457B/en active Active
Patent Citations (4)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN102866361A (en) * | 2012-08-31 | 2013-01-09 | 惠州市亿能电子有限公司 | SOH (state-of-health) online estimation method of battery pack |
CN104931886A (en) * | 2014-03-20 | 2015-09-23 | 现代摩比斯株式会社 | Apparatus and method for estimating deterioration of battery pack |
CN105021996A (en) * | 2015-08-04 | 2015-11-04 | 深圳拓普科新能源科技有限公司 | Battery SOH (section of health) estimation method of energy storage power station BMS (battery management system) |
CN105158698A (en) * | 2015-08-28 | 2015-12-16 | 江苏大学 | Battery pack state of health online estimation method based on charging voltage curve |
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