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CN108909717B - Method and device for determining lightweight level of electric vehicle, and storage medium - Google Patents

Method and device for determining lightweight level of electric vehicle, and storage medium Download PDF

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CN108909717B
CN108909717B CN201810763646.3A CN201810763646A CN108909717B CN 108909717 B CN108909717 B CN 108909717B CN 201810763646 A CN201810763646 A CN 201810763646A CN 108909717 B CN108909717 B CN 108909717B
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electric vehicle
weight reduction
electric
electric automobile
determining
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CN108909717A (en
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李军
陈云霞
王艳青
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Chery Automobile Co Ltd
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Chery Automobile Co Ltd
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    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • BPERFORMING OPERATIONS; TRANSPORTING
    • B60VEHICLES IN GENERAL
    • B60WCONJOINT CONTROL OF VEHICLE SUB-UNITS OF DIFFERENT TYPE OR DIFFERENT FUNCTION; CONTROL SYSTEMS SPECIALLY ADAPTED FOR HYBRID VEHICLES; ROAD VEHICLE DRIVE CONTROL SYSTEMS FOR PURPOSES NOT RELATED TO THE CONTROL OF A PARTICULAR SUB-UNIT
    • B60W40/00Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models
    • B60W40/12Estimation or calculation of non-directly measurable driving parameters for road vehicle drive control systems not related to the control of a particular sub unit, e.g. by using mathematical models related to parameters of the vehicle itself, e.g. tyre models
    • B60W40/13Load or weight

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Abstract

The invention discloses a method, a device and a storage medium for determining the lightweight level of an electric automobile, belonging to the technical field of electric automobiles, wherein the method comprises the following steps: acquiring the service quality, the battery capacity, the maximum endurance mileage, the footprint area and the total power of a motor of the electric automobile; determining a lightweight coefficient of the electric automobile based on the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric automobile; determining the lightweight level of the electric automobile based on the lightweight coefficient of the electric automobile. The weight reduction coefficient of the electric automobile is determined according to the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric automobile, and the weight reduction level of the electric automobile can be determined according to the weight reduction coefficient, so that related institutions, users or electric automobile manufacturers can evaluate the weight reduction level of the electric automobile by determining the weight reduction coefficient of the electric automobile, and the development of the weight reduction technology of the electric automobile is promoted.

Description

Method and device for determining lightweight level of electric vehicle, and storage medium
Technical Field
The invention relates to the technical field of electric automobiles, in particular to a method and a device for determining the lightweight level of an electric automobile and a storage medium.
Background
With the development of society, automobiles become an essential travel tool for people. However, since the exhaust pollution of automobiles becomes more and more serious as the number of automobiles increases, the development of automobile weight reduction technology has been more and more emphasized in order to reduce the exhaust pollution. The lightweight automobile means that the quality of the automobile is reduced as much as possible on the premise of ensuring the strength and the safety performance of the automobile, so that the dynamic property of the automobile is improved, the fuel consumption is reduced, and the exhaust pollution is reduced. How to evaluate the light weight level of a car becomes a problem to be solved urgently in the development of light weight engineering.
At present, the lightweight coefficient of the fuel automobile can be determined through the parameters of the automobile such as the quality of the fuel, the hundred kilometers of comprehensive fuel consumption, the static torsional rigidity of the automobile body, the work of an engine, the footprint area and the volume of the automobile body, and the lightweight level of the fuel automobile can be determined through the lightweight coefficient. However, the performance of the electric vehicle is different from that of the fuel-powered vehicle, and the light weight level of the electric vehicle cannot be determined by the determination method of the light weight level of the fuel-powered vehicle.
Therefore, a method for determining the weight reduction level of an electric vehicle is required.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining a lightweight level of an electric automobile and a storage medium, which are used for solving the problem that the lightweight level of the electric automobile cannot be determined in the related art. The technical scheme is as follows:
in a first aspect, there is provided a method for determining a level of weight reduction of an electric vehicle, the method including:
acquiring the service quality, the battery capacity, the maximum endurance mileage, the footprint area and the total power of a motor of the electric automobile;
determining a lightweight coefficient of the electric vehicle based on the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric vehicle;
determining a lightweight level of the electric vehicle based on a lightweight coefficient of the electric vehicle.
Optionally, the acquiring the footprint area of the electric vehicle includes:
acquiring a front wheel track, a rear wheel track and a wheel base of the electric automobile;
determining a wheel track average value between a front wheel track and a rear wheel track of the electric automobile;
and multiplying the wheel base average value of the electric automobile by the wheel base to obtain the footprint area of the electric automobile.
Optionally, the determining a weight reduction factor of the electric vehicle based on the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total motor power of the electric vehicle includes:
determining a lightweight coefficient of the electric vehicle through the following formula based on the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric vehicle;
Figure BDA0001728496530000021
wherein, L isevIs the lightweight coefficient of the electric vehicle, and W is the service mass, soC is the battery capacity, MmAnd the maximum endurance mileage is obtained, wherein A is the footprint area, and P is the total power of the motor.
Optionally, the determining the light weight level of the electric vehicle based on the light weight coefficient of the electric vehicle includes:
comparing the weight reduction coefficient of the electric automobile with the weight reduction coefficients of other electric automobiles;
determining that the weight reduction level of the electric vehicle is higher than the weight reduction levels of the other electric vehicles when the weight reduction coefficient of the electric vehicle is smaller than the weight reduction coefficients of the other electric vehicles.
In a second aspect, there is provided a lightweight level determination apparatus for an electric vehicle, the apparatus including:
the acquisition module is used for acquiring the service quality, the battery capacity, the maximum endurance mileage, the footprint area and the total power of the motor of the electric automobile;
the first determination module is used for determining a lightweight coefficient of the electric automobile based on the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric automobile;
a second determination module for determining a level of weight reduction of the electric vehicle based on a weight reduction coefficient of the electric vehicle.
Optionally, the obtaining module includes:
the obtaining submodule is used for obtaining a front wheel base, a rear wheel base and a wheel base of the electric automobile;
the first determining submodule is used for determining a wheel track average value between a front wheel track and a rear wheel track of the electric automobile;
and the calculation submodule is used for multiplying the wheel base average value of the electric automobile by the wheel base to obtain the footprint area of the electric automobile.
Optionally, the first determining module is configured to:
determining a lightweight coefficient of the electric vehicle through the following formula based on the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric vehicle;
Figure BDA0001728496530000031
wherein, L isevIs the lightweight coefficient of the electric vehicle, W is the service quality, C is the battery capacity, M ismAnd the maximum endurance mileage is obtained, wherein A is the footprint area, and P is the total power of the motor.
Optionally, the second determining module includes:
the comparison submodule is used for comparing the weight reduction coefficient of the electric automobile with the weight reduction coefficients of other electric automobiles;
a second determination submodule for determining that the level of weight reduction of the electric vehicle is higher than the level of weight reduction of the other electric vehicle when the coefficient of weight reduction of the electric vehicle is smaller than the coefficient of weight reduction of the other electric vehicle.
In a third aspect, a computer-readable storage medium is provided, in which a computer program is stored, which, when executed by a processor, implements any of the methods provided in the first aspect above.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
in the embodiment of the invention, the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total motor power of the electric automobile can be obtained, then the lightweight coefficient of the electric automobile is determined according to the obtained service quality, the battery capacity, the maximum driving mileage, the footprint area and the total motor power of the electric automobile, and as the lightweight level of the electric automobile is determined according to the lightweight coefficient, relevant organizations, users or electric automobile manufacturers can evaluate the lightweight level of the electric automobile by determining the lightweight coefficient of the electric automobile, so that the development of the lightweight technology of the electric automobile is promoted.
Drawings
In order to more clearly illustrate the technical solutions in the embodiments of the present invention, the drawings needed to be 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 to obtain other drawings based on these drawings without creative efforts.
Fig. 1 is a flowchart of a method for determining a lightweight level of an electric vehicle according to an embodiment of the present invention;
fig. 2 is a flowchart of a method for determining a lightweight level of an electric vehicle according to an embodiment of the present invention;
FIG. 3 is a schematic diagram illustrating a relationship between acceleration performance of an electric vehicle and a weight-to-power ratio of the electric vehicle according to an embodiment of the present invention;
fig. 4 is a schematic structural diagram of a lightweight level determining apparatus for an electric vehicle according to an embodiment of the present invention;
fig. 5 is a schematic structural diagram of an obtaining module according to an embodiment of the present invention;
FIG. 6 is a schematic structural diagram of a second determining module according to an embodiment of the present invention
Fig. 7 is a schematic structural diagram of a terminal according to an embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, embodiments of the present invention will be described in detail with reference to the accompanying drawings.
Before explaining the embodiments of the present invention in detail, an application scenario related to the embodiments of the present invention is explained.
At present, in order to reduce exhaust pollution of automobiles, the development of automobile lightweight technology is also receiving more and more attention. The lightweight automobile means that the quality of the automobile is reduced as much as possible on the premise of ensuring the strength and the safety performance of the automobile, so that the dynamic property of the automobile is improved, the fuel consumption is reduced, and the exhaust pollution is reduced. How to evaluate the light weight level of a car becomes a problem to be solved urgently in the development of light weight engineering. However, at present, only the weight reduction of a fuel automobile can be determined, but no method for determining the weight reduction level of an electric automobile is available, so that the weight reduction level of the electric automobile on the market cannot be evaluated.
Based on such a scenario, embodiments of the present invention provide a method for determining a weight reduction level of an electric vehicle, which is capable of evaluating the weight reduction level of the electric vehicle.
Fig. 1 is a flowchart of a method for determining a lightweight level of an electric vehicle according to an embodiment of the present invention, and referring to fig. 1, the method is applied to a terminal, and the method includes the following steps.
Step 101: and acquiring the service quality, the battery capacity, the maximum endurance mileage, the footprint area and the total power of the motor of the electric automobile.
Step 102: and determining the lightweight coefficient of the electric automobile based on the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric automobile.
Step 103: and determining the light weight level of the electric automobile based on the light weight coefficient of the electric automobile.
In the embodiment of the invention, the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total motor power of the electric automobile can be obtained, then the lightweight coefficient of the electric automobile is determined according to the obtained service quality, the battery capacity, the maximum driving mileage, the footprint area and the total motor power of the electric automobile, and as the lightweight level of the electric automobile is determined according to the lightweight coefficient, relevant organizations, users or electric automobile manufacturers can evaluate the lightweight level of the electric automobile by determining the lightweight coefficient of the electric automobile, so that the development of the lightweight technology of the electric automobile is promoted.
Optionally, the obtained footprint area of the electric vehicle comprises:
acquiring a front wheel track, a rear wheel track and a wheel base of the electric automobile;
determining a wheel track average value between a front wheel track and a rear wheel track of the electric automobile;
and multiplying the wheel base average value of the electric automobile by the wheel base to obtain the footprint area of the electric automobile.
Optionally, determining a weight reduction coefficient of the electric vehicle based on the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total motor power of the electric vehicle, includes:
determining a lightweight coefficient of the electric automobile through the following formula based on the service quality, the battery capacity, the maximum endurance mileage, the footprint area and the total power of the motor of the electric automobile;
Figure BDA0001728496530000051
wherein L isevW is the weight reduction factor of the electric vehicle, C is the battery capacity, MmAnd A is the area of the footprint, and P is the total power of the motor.
Optionally, determining the light weight level of the electric vehicle based on the light weight coefficient of the electric vehicle includes:
comparing the weight reduction coefficient of the electric vehicle with the weight reduction coefficients of other electric vehicles;
when the weight reduction coefficient of the electric vehicle is smaller than the weight reduction coefficient of the other electric vehicle, it is determined that the weight reduction level of the electric vehicle is higher than the weight reduction level of the other electric vehicle.
All the above optional technical solutions can be combined arbitrarily to form an optional embodiment of the present invention, which is not described in detail herein.
Fig. 2 is a flowchart of another method for determining a weight reduction level of an electric vehicle according to an embodiment of the present invention, and referring to fig. 2, the method includes the following steps.
Step 201: the terminal obtains the service quality, the battery capacity, the maximum endurance mileage, the footprint area and the total power of the motor of the electric automobile.
The light weight of the electric automobile is mainly aimed at reducing the weight of the whole automobile as much as possible on the premise of ensuring the performance of the electric automobile so as to realize energy conservation and emission reduction, so that the quality of the whole automobile is one of important parameters for determining the light weight level of the electric automobile, and the terminal needs to acquire the service quality of the electric automobile when determining the light weight level of the electric automobile. In addition, since the electric vehicle is a vehicle using a battery as a power source, and the battery capacity of the battery is related to the driving range of the electric vehicle, the battery capacity and the driving range of the battery may affect the performance of the electric vehicle, and therefore, when determining the light weight level of the electric vehicle, it is also necessary to obtain the battery capacity and the maximum driving range of the electric vehicle. And because the footprint area is a parameter for measuring the effective load of the electric automobile, the footprint area is also an important parameter influencing the light weight level of the electric automobile, and the terminal also needs to acquire the footprint area of the electric automobile. Furthermore, the electric vehicle is mainly driven by the motor, and as can be seen from the corresponding relationship between the acceleration performance of the electric vehicle and the weight ratio power of the electric vehicle provided in fig. 3, the acceleration performance of the electric vehicle is linearly related to the weight ratio power of the electric vehicle, and the weight ratio power of the electric vehicle is equal to the total vehicle mass of the electric vehicle divided by the total motor power, so that the total motor power is the most important parameter for determining the power of the electric vehicle, and when the light weight level of the electric vehicle is determined, the total motor power of the electric vehicle needs to be obtained.
It should be noted that, because the parameters of the electric vehicle are already designed in the process of constructing the electric vehicle, the terminal can directly obtain the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the electric motor of the electric vehicle from the stored parameter table of the electric vehicle. And the terminal may store parameters of a plurality of electric vehicles, the vehicle types of the plurality of electric vehicles are different from each other, and the different parameters of the vehicle types of the electric vehicles are different from each other, so that the terminal can obtain the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the electric vehicle from the stored parameter table of the electric vehicle according to the currently determined vehicle type of the electric vehicle with the light weight level.
For example, if the model of the electric vehicle whose weight reduction level is currently determined is model B, the terminal can select the parameter table of the electric vehicle shown in table 1In the middle, the service mass corresponding to the obtained vehicle type B is 1580kg (kilogram), the battery capacity is 49kWh (kilowatt-hour), the maximum endurance mileage is 351km (kilometer), and the footprint area is 4.14m2The (square meter) and the total power of the motor are 90 kw.
TABLE 1
Figure BDA0001728496530000071
In addition, the terminal may also obtain the footprint area of the electric vehicle by first obtaining the track and the wheel base of the electric vehicle and then multiplying the track and the wheel base of the electric vehicle, instead of directly obtaining the footprint area of the electric vehicle. However, the track width of the electric vehicle includes a front track width and a rear track width, and the front track width and the rear track width of the electric vehicle may be the same or different. When the front wheel track and the rear wheel track of the electric automobile are different, the footprint areas of the electric automobile determined by the front wheel track and the rear wheel track through the terminal are different, so that the light weight level of the electric automobile determined subsequently is not standard. Therefore, in order to improve the specification of the electric automobile for determining the lightweight level of the electric automobile subsequently, the terminal can acquire the front wheel track, the rear wheel track and the wheel base of the electric automobile; determining a wheel track average value between a front wheel track and a rear wheel track of the electric automobile; and multiplying the wheel base average value of the electric automobile by the wheel base to obtain the footprint area of the electric automobile.
The terminal can obtain parameters such as the wheel base, the front wheel base and the rear wheel base of the electric automobile from a stored parameter table related to the footprint area of the electric automobile according to the type of the electric automobile with the currently determined light weight level, and then determine the footprint area of the electric automobile.
For example, if it is currently necessary to determine that the model of the electric vehicle with the light weight level is the model B, the terminal may obtain the wheel base of the electric vehicle from the parameter table related to the footprint area of the electric vehicle shown in table 2 as 2670mm (millimeters), the front wheel base of the electric vehicle as 1556mm, and the rear wheel base of the electric vehicle as 1542mm, determine the average value of the wheel bases between the front wheel base and the rear wheel base of the electric vehicle as 1549mm, and multiply the average value of the wheel bases 1549mm by the wheel base2670mm, the footprint area of the electric automobile is 4.14m2
TABLE 2
Figure BDA0001728496530000081
It should be noted that sometimes, the terminal may determine the light weight level of the electric vehicle of multiple vehicle types at one time, and at this time, the terminal may obtain the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric vehicle of multiple vehicle types at one time from the parameter table of the electric vehicle.
Step 202: and the terminal determines the lightweight coefficient of the electric automobile based on the quality of the electric automobile, the battery capacity, the maximum endurance mileage, the footprint area and the total power of the motor.
The terminal can determine the lightweight coefficient of the electric automobile through the following formula based on the service quality, the battery capacity, the maximum endurance mileage, the footprint area and the total power of the motor of the electric automobile;
Figure BDA0001728496530000082
wherein, in the above formula (1), LevFor the weight reduction factor of the electric vehicle, W is the service mass, C is the battery capacity, and M ismThe maximum endurance mileage is represented by A as the footprint area and P as the total power of the motor.
For example, when the terminal obtains the service quality of the electric vehicle type B from table 1 as 1580kg, the battery capacity as 49kWh, the maximum driving range as 351km, and the footprint area as 4.14m2And the total power of the motor is 90kw, and the weight reduction coefficient of the vehicle type B is determined to be 6.2 by the above formula (1).
Step 203: the terminal determines a weight reduction level of the electric vehicle based on the weight reduction coefficient of the electric vehicle.
Wherein, the operation of the terminal determining the light weight level of the electric vehicle based on the light weight coefficient of the electric vehicle may be: comparing the weight reduction coefficient of the electric vehicle with the weight reduction coefficients of other electric vehicles; determining that the weight reduction level of the electric vehicle is higher than the weight reduction level of the other electric vehicle when the weight reduction coefficient of the electric vehicle is smaller than the weight reduction coefficient of the other electric vehicle, and determining that the weight reduction level of the electric vehicle is lower than the weight reduction level of the other electric vehicle when the weight reduction coefficient of the electric vehicle is larger than the weight reduction coefficient of the other electric vehicle; when the weight reduction coefficient of the electric vehicle is equal to the weight reduction coefficient of the other electric vehicle, determining that the weight reduction level of the electric vehicle is the same as the weight reduction level of the other electric vehicle.
Since the terminal needs to compare the currently evaluated weight reduction level of the electric vehicle with the weight reduction levels of other vehicles, the terminal needs to determine not only the weight reduction coefficient of the currently evaluated electric vehicle but also obtain the weight reduction coefficients of other electric vehicles. In order to ensure the accuracy of determining the lightweight level, the terminal needs to determine the lightweight coefficients of other electric vehicles in the same manner. That is, the terminal needs to determine the lightweight coefficients of other electric vehicles according to the operations of the above steps 201 and 202, which is not described in detail in the embodiment of the present invention.
In addition, since the terminal can also determine the weight reduction coefficients of other electric vehicles, the terminal can sort the weight reduction coefficients of the electric vehicles of multiple vehicle types including the electric vehicle currently determined by the weight reduction coefficient in descending order or ascending order to obtain a sorting result, which is the sorting result of the weight reduction levels of the electric vehicles.
For example, the terminal determines the weight reduction coefficients of 12 electric vehicles, wherein the vehicle types of the 12 electric vehicles are respectively vehicle type a, vehicle type B, vehicle type C, vehicle type D, vehicle type E, vehicle type F, vehicle type G, vehicle type H, vehicle type I, vehicle type J, vehicle type K and vehicle type L, the weight reduction coefficients corresponding to the 12 electric vehicles are respectively 5.9, 6.2, 7.5, 6.1, 5.2, 9.1, 8.7, 5.6, 6.5 and 6.7, the weight reduction coefficients of the 12 electric vehicles are sorted in the order from small to large, and the sorting results are shown in table 3.
TABLE 3
Electric automobile model Coefficient of weight reduction Results of the sorting
Vehicle type A 5.9 No. 3
Vehicle type B 6.2 6 th
Vehicle type C 6.2 6 th
Vehicle type D 7.5 Item 10
Vehicle type E 6.1 4 th
Vehicle type F 6.1 4 th
Vehicle type G 5.2 1 st
Vehicle type H 9.1 12 th item
Vehicle type I 8.7 11 th
Vehicle type J 5.6 2 nd (2)
Vehicle type K 6.5 8 th
Vehicle type L 6.7 9 th
Further, since the weight reduction coefficient of the electric vehicle may reflect the weight reduction level of the electric vehicle, it may be determined whether the weight reduction level of the electric vehicle currently manufactured is acceptable or not, through the weight reduction coefficient of the electric vehicle.
After the terminal determines the weight reduction coefficient of the electric automobile, comparing the weight reduction coefficient with a preset coefficient threshold, and when the weight reduction coefficient of the electric automobile is smaller than or equal to the preset coefficient threshold, determining that the weight reduction level of the electric automobile is qualified; and when the weight reduction coefficient of the electric automobile is larger than a preset coefficient threshold value, determining that the weight reduction level of the electric automobile is unqualified.
It should be noted that the preset coefficient threshold may be set in advance, for example, the preset coefficient threshold may be 5, 6, and so on.
In the embodiment of the invention, the terminal can acquire the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric automobile, and then the lightweight coefficient of the electric automobile is determined according to the acquired service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric automobile. Since the weight reduction level of the electric vehicle is determined according to the weight reduction coefficient, the related institutions, users or electric vehicle manufacturers can evaluate the weight reduction level of the electric vehicle by determining the weight reduction coefficient of the electric vehicle, thereby promoting the development of the weight reduction technology of the electric vehicle. Meanwhile, the lightweight coefficients of the electric automobiles of different vehicle types can be determined in the same mode, and the accuracy of evaluating the lightweight levels of the electric automobiles of different vehicle types is guaranteed.
After explaining the method for determining the weight reduction level of the electric vehicle according to the embodiment of the present invention, a device for determining the weight reduction level of the electric vehicle according to the embodiment of the present invention will be described.
Fig. 4 is a block diagram of a weight reduction level determination apparatus for an electric vehicle according to an embodiment of the present disclosure, and referring to fig. 4, the weight reduction level determination apparatus for an electric vehicle may be implemented by software, hardware, or a combination of both. The device includes: an acquisition module 401, a first determination module 402 and a second determination module 403.
The obtaining module 401 is configured to obtain the servicing quality, the battery capacity, the maximum driving mileage, the footprint area, and the total power of the motor of the electric vehicle;
a first determining module 402, configured to determine a weight reduction factor of the electric vehicle based on a service quality, a battery capacity, a maximum driving mileage, a footprint area, and a total motor power of the electric vehicle;
a second determining module 403, configured to determine a lightweight level of the electric vehicle based on a lightweight coefficient of the electric vehicle.
Optionally, referring to fig. 5, the obtaining module 401 includes:
the obtaining submodule 4011 is configured to obtain a front wheel track, a rear wheel track, and a wheel base of the electric vehicle;
a first determining submodule 4012 configured to determine a track width average value between a front track width and a rear track width of the electric vehicle;
and the calculating submodule 4013 is configured to multiply the wheel base average value of the electric vehicle by the wheel base to obtain a footprint area of the electric vehicle.
Optionally, the first determination module 402 is configured to:
determining a lightweight coefficient of the electric vehicle through the following formula based on the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric vehicle;
Figure BDA0001728496530000111
wherein, L isevIs the lightweight coefficient of the electric vehicle, W is the service quality, C is the battery capacity, M ismAnd the maximum endurance mileage is obtained, wherein A is the footprint area, and P is the total power of the motor.
Optionally, referring to fig. 6, the second determining module 403 includes:
a comparison submodule 4031 for comparing the weight reduction coefficient of the electric vehicle with the weight reduction coefficients of other electric vehicles;
a second determination submodule 4032 configured to determine that the weight reduction level of the electric vehicle is higher than the weight reduction level of the other electric vehicle when the weight reduction coefficient of the electric vehicle is smaller than the weight reduction coefficient of the other electric vehicle.
In summary, in the embodiment of the present invention, the terminal may obtain the service quality, the battery capacity, the maximum driving mileage, the footprint area, and the total power of the motor of the electric vehicle, and then determine the weight reduction coefficient of the electric vehicle according to the obtained service quality, the battery capacity, the maximum driving mileage, the footprint area, and the total power of the motor of the electric vehicle. Since the weight reduction level of the electric vehicle is determined according to the weight reduction coefficient, the related institutions, users or electric vehicle manufacturers can evaluate the weight reduction level of the electric vehicle by determining the weight reduction coefficient of the electric vehicle, thereby promoting the development of the weight reduction technology of the electric vehicle. Meanwhile, the lightweight coefficients of the electric automobiles of different vehicle types can be determined in the same mode, and the accuracy of evaluating the lightweight levels of the electric automobiles of different vehicle types is guaranteed.
It should be noted that: in the light weight level determining apparatus for an electric vehicle according to the above embodiment, when determining the light weight level of the electric vehicle, only the division of the above function modules is illustrated, and in practical applications, the functions may be distributed to different function modules as needed, that is, the internal structure of the apparatus may be divided into different function modules to complete all or part of the functions described above. In addition, the device for determining the light weight level of the electric vehicle and the method for determining the light weight level of the electric vehicle provided by the embodiments belong to the same concept, and specific implementation processes thereof are detailed in the method embodiments and are not described herein again.
Fig. 7 is a block diagram illustrating a terminal 700 according to an exemplary embodiment of the present invention. The terminal 700 may be: a smart phone, a tablet computer, an MP3 player (Moving Picture Experts Group Audio Layer III, motion video Experts compression standard Audio Layer 3), an MP4 player (Moving Picture Experts Group Audio Layer iv, motion video Experts compression standard Audio Layer 4), a notebook computer, or a desktop computer. Terminal 700 may also be referred to by other names such as user equipment, portable terminal, laptop terminal, desktop terminal, and so on.
In general, terminal 700 includes: a processor 701 and a memory 702.
The processor 701 may include one or more processing cores, such as a 4-core processor, an 8-core processor, and so on. The processor 701 may be implemented in at least one hardware form of a DSP (Digital Signal Processing), an FPGA (Field-Programmable Gate Array), and a PLA (Programmable Logic Array). The processor 701 may also include a main processor and a coprocessor, where the main processor is a processor for processing data in an awake state, and is also called a Central Processing Unit (CPU); a coprocessor is a low power processor for processing data in a standby state. In some embodiments, the processor 701 may be integrated with a GPU (Graphics Processing Unit), which is responsible for rendering and drawing the content required to be displayed on the display screen. In some embodiments, the processor 701 may further include an AI (Artificial Intelligence) processor for processing computing operations related to machine learning.
Memory 702 may include one or more computer-readable storage media, which may be non-transitory. Memory 702 may also include high-speed random access memory, as well as non-volatile memory, such as one or more magnetic disk storage devices, flash memory storage devices. In some embodiments, a non-transitory computer readable storage medium in the memory 702 is configured to store at least one instruction for execution by the processor 701 to implement the method for determining a weight reduction level of an electric vehicle provided by the method embodiments of the present application.
In some embodiments, the terminal 700 may further optionally include: a peripheral interface 703 and at least one peripheral. The processor 701, the memory 702, and the peripheral interface 703 may be connected by buses or signal lines. Various peripheral devices may be connected to peripheral interface 703 via a bus, signal line, or circuit board. Specifically, the peripheral device includes: at least one of radio frequency circuitry 704, touch screen display 705, camera 706, audio circuitry 707, positioning components 708, and power source 709.
The peripheral interface 703 may be used to connect at least one peripheral related to I/O (Input/Output) to the processor 701 and the memory 702. In some embodiments, processor 701, memory 702, and peripheral interface 703 are integrated on the same chip or circuit board; in some other embodiments, any one or two of the processor 701, the memory 702, and the peripheral interface 703 may be implemented on a separate chip or circuit board, which is not limited in this embodiment.
The Radio Frequency circuit 704 is used for receiving and transmitting RF (Radio Frequency) signals, also called electromagnetic signals. The radio frequency circuitry 704 communicates with communication networks and other communication devices via electromagnetic signals. The rf circuit 704 converts an electrical signal into an electromagnetic signal to transmit, or converts a received electromagnetic signal into an electrical signal. Optionally, the radio frequency circuit 704 includes: an antenna system, an RF transceiver, one or more amplifiers, a tuner, an oscillator, a digital signal processor, a codec chipset, a subscriber identity module card, and so forth. The radio frequency circuitry 704 may communicate with other terminals via at least one wireless communication protocol. The wireless communication protocols include, but are not limited to: metropolitan area networks, various generation mobile communication networks (2G, 3G, 4G, and 5G), Wireless local area networks, and/or WiFi (Wireless Fidelity) networks. In some embodiments, the radio frequency circuit 704 may also include NFC (Near Field Communication) related circuits, which are not limited in this application.
The display screen 705 is used to display a UI (User Interface). The UI may include graphics, text, icons, video, and any combination thereof. When the display screen 705 is a touch display screen, the display screen 705 also has the ability to capture touch signals on or over the surface of the display screen 705. The touch signal may be input to the processor 701 as a control signal for processing. At this point, the display 705 may also be used to provide virtual buttons and/or a virtual keyboard, also referred to as soft buttons and/or a soft keyboard. In some embodiments, the display 705 may be one, providing the front panel of the terminal 700; in other embodiments, the display 705 can be at least two, respectively disposed on different surfaces of the terminal 700 or in a folded design; in still other embodiments, the display 705 may be a flexible display disposed on a curved surface or on a folded surface of the terminal 700. Even more, the display 705 may be arranged in a non-rectangular irregular pattern, i.e. a shaped screen. The Display 705 may be made of LCD (liquid crystal Display), OLED (Organic Light-Emitting Diode), or the like.
The camera assembly 706 is used to capture images or video. Optionally, camera assembly 706 includes a front camera and a rear camera. Generally, a front camera is disposed at a front panel of the terminal, and a rear camera is disposed at a rear surface of the terminal. In some embodiments, the number of the rear cameras is at least two, and each rear camera is any one of a main camera, a depth-of-field camera, a wide-angle camera and a telephoto camera, so that the main camera and the depth-of-field camera are fused to realize a background blurring function, and the main camera and the wide-angle camera are fused to realize panoramic shooting and VR (Virtual Reality) shooting functions or other fusion shooting functions. In some embodiments, camera assembly 706 may also include a flash. The flash lamp can be a monochrome temperature flash lamp or a bicolor temperature flash lamp. The double-color-temperature flash lamp is a combination of a warm-light flash lamp and a cold-light flash lamp, and can be used for light compensation at different color temperatures.
The audio circuitry 707 may include a microphone and a speaker. The microphone is used for collecting sound waves of a user and the environment, converting the sound waves into electric signals, and inputting the electric signals to the processor 701 for processing or inputting the electric signals to the radio frequency circuit 704 to realize voice communication. For the purpose of stereo sound collection or noise reduction, a plurality of microphones may be provided at different portions of the terminal 700. The microphone may also be an array microphone or an omni-directional pick-up microphone. The speaker is used to convert electrical signals from the processor 701 or the radio frequency circuit 704 into sound waves. The loudspeaker can be a traditional film loudspeaker or a piezoelectric ceramic loudspeaker. When the speaker is a piezoelectric ceramic speaker, the speaker can be used for purposes such as converting an electric signal into a sound wave audible to a human being, or converting an electric signal into a sound wave inaudible to a human being to measure a distance. In some embodiments, the audio circuitry 707 may also include a headphone jack.
The positioning component 708 is used to locate the current geographic position of the terminal 700 to implement navigation or LBS (location based Service). The positioning component 708 may be a positioning component based on the GPS (global positioning System) in the united states, the beidou System in china, the graves System in russia, or the galileo System in the european union.
Power supply 709 is provided to supply power to various components of terminal 700. The power source 709 may be alternating current, direct current, disposable batteries, or rechargeable batteries. When power source 709 includes a rechargeable battery, the rechargeable battery may support wired or wireless charging. The rechargeable battery may also be used to support fast charge technology.
In some embodiments, terminal 700 also includes one or more sensors 710. The one or more sensors 710 include, but are not limited to: acceleration sensor 711, gyro sensor 712, pressure sensor 713, fingerprint sensor 714, optical sensor 715, and proximity sensor 716.
The acceleration sensor 711 can detect the magnitude of acceleration in three coordinate axes of a coordinate system established with the terminal 700. For example, the acceleration sensor 711 may be used to detect components of the gravitational acceleration in three coordinate axes. The processor 701 may control the touch screen 705 to display the user interface in a landscape view or a portrait view according to the gravitational acceleration signal collected by the acceleration sensor 711. The acceleration sensor 711 may also be used for acquisition of motion data of a game or a user.
The gyro sensor 712 may detect a body direction and a rotation angle of the terminal 700, and the gyro sensor 712 may cooperate with the acceleration sensor 711 to acquire a 3D motion of the terminal 700 by the user. From the data collected by the gyro sensor 712, the processor 701 may implement the following functions: motion sensing (such as changing the UI according to a user's tilting operation), image stabilization at the time of photographing, game control, and inertial navigation.
Pressure sensors 713 may be disposed on a side bezel of terminal 700 and/or an underlying layer of touch display 705. When the pressure sensor 713 is disposed on a side frame of the terminal 700, a user's grip signal on the terminal 700 may be detected, and the processor 701 performs right-left hand recognition or shortcut operation according to the grip signal collected by the pressure sensor 713. When the pressure sensor 713 is disposed at a lower layer of the touch display 705, the processor 701 controls the operability control on the UI interface according to the pressure operation of the user on the touch display 705. The operability control comprises at least one of a button control, a scroll bar control, an icon control and a menu control.
The fingerprint sensor 714 is used for collecting a fingerprint of a user, and the processor 701 identifies the identity of the user according to the fingerprint collected by the fingerprint sensor 714, or the fingerprint sensor 714 identifies the identity of the user according to the collected fingerprint. When the user identity is identified as a trusted identity, the processor 701 authorizes the user to perform relevant sensitive operations, including unlocking a screen, viewing encrypted information, downloading software, paying, changing settings, and the like. The fingerprint sensor 714 may be disposed on the front, back, or side of the terminal 700. When a physical button or a vendor Logo is provided on the terminal 700, the fingerprint sensor 714 may be integrated with the physical button or the vendor Logo.
The optical sensor 715 is used to collect the ambient light intensity. In one embodiment, the processor 701 may control the display brightness of the touch display 705 based on the ambient light intensity collected by the optical sensor 715. Specifically, when the ambient light intensity is high, the display brightness of the touch display screen 705 is increased; when the ambient light intensity is low, the display brightness of the touch display 705 is turned down. In another embodiment, processor 701 may also dynamically adjust the shooting parameters of camera assembly 706 based on the ambient light intensity collected by optical sensor 715.
A proximity sensor 716, also referred to as a distance sensor, is typically disposed on a front panel of the terminal 700. The proximity sensor 716 is used to collect the distance between the user and the front surface of the terminal 700. In one embodiment, when the proximity sensor 716 detects that the distance between the user and the front surface of the terminal 700 gradually decreases, the processor 701 controls the touch display 705 to switch from the bright screen state to the dark screen state; when the proximity sensor 716 detects that the distance between the user and the front surface of the terminal 700 gradually becomes larger, the processor 701 controls the touch display 705 to switch from the breath screen state to the bright screen state.
That is, not only is an embodiment of the present invention provide a terminal including a processor and a memory for storing processor-executable instructions, wherein the processor is configured to execute the method in the embodiment shown in fig. 1 and 2, but also an embodiment of the present invention provides a computer-readable storage medium having a computer program stored therein, which when executed by the processor can implement the method for determining the lightweight level of the electric vehicle in the embodiment shown in fig. 1 and 2.
Those skilled in the art will appreciate that the configuration shown in fig. 7 is not intended to be limiting of terminal 700 and may include more or fewer components than those shown, or some components may be combined, or a different arrangement of components may be used.
It will be understood by those skilled in the art that all or part of the steps for implementing the above embodiments may be implemented by hardware, or may be implemented by a program instructing relevant hardware, where the program may be stored in a computer-readable storage medium, and the above-mentioned storage medium may be a read-only memory, a magnetic disk or an optical disk, etc.
The above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.

Claims (7)

1. A method for determining a level of weight reduction of an electric vehicle, the method comprising:
acquiring the service quality, the battery capacity, the maximum endurance mileage, the footprint area and the total power of a motor of the electric automobile;
determining a lightweight coefficient of the electric vehicle through the following formula based on the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric vehicle;
Figure FDA0002339590640000011
wherein, L isevIs the lightweight coefficient of the electric vehicle, W is the service quality, C is the battery capacity, M ismThe maximum endurance mileage is defined as A, the footprint area is defined as A, and the total power of the motor is defined as P;
determining a lightweight level of the electric vehicle based on a lightweight coefficient of the electric vehicle.
2. The method of claim 1, wherein the obtaining the footprint area of the electric vehicle comprises:
acquiring a front wheel track, a rear wheel track and a wheel base of the electric automobile;
determining a wheel track average value between a front wheel track and a rear wheel track of the electric automobile;
and multiplying the wheel base average value of the electric automobile by the wheel base to obtain the footprint area of the electric automobile.
3. The method of claim 1, wherein the determining the level of weight reduction of the electric vehicle based on the weight reduction factor of the electric vehicle comprises:
comparing the weight reduction coefficient of the electric automobile with the weight reduction coefficients of other electric automobiles;
determining that the weight reduction level of the electric vehicle is higher than the weight reduction levels of the other electric vehicles when the weight reduction coefficient of the electric vehicle is smaller than the weight reduction coefficients of the other electric vehicles.
4. A lightweight level determination device for an electric vehicle, characterized by comprising:
the acquisition module is used for acquiring the service quality, the battery capacity, the maximum endurance mileage, the footprint area and the total power of the motor of the electric automobile;
the first determination module is used for determining a lightweight coefficient of the electric automobile through the following formula based on the service quality, the battery capacity, the maximum driving mileage, the footprint area and the total power of the motor of the electric automobile;
Figure FDA0002339590640000021
wherein, L isevTo the light weight system of the electric vehicleNumber, W is the conditioning mass, C is the battery capacity, MmThe maximum endurance mileage is defined as A, the footprint area is defined as A, and the total power of the motor is defined as P;
a second determination module for determining a level of weight reduction of the electric vehicle based on a weight reduction coefficient of the electric vehicle.
5. The apparatus of claim 4, wherein the acquisition module comprises:
the obtaining submodule is used for obtaining a front wheel base, a rear wheel base and a wheel base of the electric automobile;
the first determining submodule is used for determining a wheel track average value between a front wheel track and a rear wheel track of the electric automobile;
and the calculation submodule is used for multiplying the wheel base average value of the electric automobile by the wheel base to obtain the footprint area of the electric automobile.
6. The apparatus of claim 4, wherein the second determining module comprises:
the comparison submodule is used for comparing the weight reduction coefficient of the electric automobile with the weight reduction coefficients of other electric automobiles;
a second determination submodule for determining that the level of weight reduction of the electric vehicle is higher than the level of weight reduction of the other electric vehicle when the coefficient of weight reduction of the electric vehicle is smaller than the coefficient of weight reduction of the other electric vehicle.
7. A computer-readable storage medium, characterized in that the storage medium has stored therein a computer program which, when being executed by a processor, carries out the method of any one of claims 1-3.
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