CN117022050B - Calculation method, system and medium for rated capacity of power battery - Google Patents
Calculation method, system and medium for rated capacity of power battery Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
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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]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
-
- 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]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
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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
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/547—Voltage
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention discloses a calculation method, a system and a medium of rated capacity of a power battery, which are used for acquiring a real SOC value of the power battery when a set working condition of an electric vehicle is ended; obtaining the residual capacity of the power battery at the end of the set working condition according to the estimated SOC value of the power battery at the end of the set working condition and the average rated capacity of the power battery; according to the residual capacity of the power battery at the end of the set working condition and the real SOC value of the power battery at the end of the set working condition, the rated capacity of the power battery is obtained; the invention solves the problems of insufficient applicability and timeliness caused by the room temperature environment and the slow charging condition of the vehicle required by the existing battery rated capacity calculation method, can rapidly and accurately obtain the rated capacity of the power battery, remarkably improves the SOC and SOH estimation precision of the power battery, is beneficial to reasonable use of the power battery, and ensures efficient driving on the basis of safety of the electric vehicle.
Description
Technical Field
The invention belongs to the technical field of battery rated capacity calculation, and particularly relates to a method, a system and a medium for calculating the rated capacity of a power battery.
Background
The rated capacity of a power battery is an important index for measuring the performance of the power battery, and the rated capacity refers to the product value of current and time after the power battery is fully charged and discharged at the ambient temperature of 25 ℃ under a constant current of 1/3C multiplying power until the battery voltage reaches a certain voltage value (the voltage value is the design value of a power battery manufacturer). Estimation of power battery SOC and SOH requires reliance on rated capacity, namely:
because of a certain tolerance in the control of the power battery production process, consistency problems (such as a voltage difference between static open-circuit voltages) exist among the power battery monomers, so that deviation between rated capacity and actual rated capacity among the power batteries can be caused, and rated capacity calculation is required after the power batteries are loaded.
At present, the rated capacity calculation of a power battery for a vehicle end is generally carried out under a slow charging working condition of the vehicle in a room temperature environment, and the specific process is as follows: when the ambient temperature is 25+/-5 ℃ and the vehicle is slowly charged, the battery SOC at the beginning and ending time of the slow charge is recorded 1 、SOC 2 Simultaneously recording the current I in the whole slow charging process and the slow charging duration t; calculating the cumulative capacity C by integrating the current I during slow charge with the slow charge duration t C I.e.The method comprises the steps of carrying out a first treatment on the surface of the Dividing the accumulated capacity of the slow charge process and the SOC variation in the slow charge process to obtain the rated capacity of the battery, namelyHowever, this method has the following problems:
(1) The applicability is not enough: in the prior art, the room temperature environment and the slow-charge working condition of the vehicle are required for calculating the rated capacity of the power battery, the vehicle scene meeting the two conditions is less, and the time for calculating the rated capacity of the power battery at the vehicle end is reduced;
(2) The timeliness is not enough: the slow charging time of the vehicle is generally 8-10 h, which means that 8-10 h is needed in the prior art to calculate the rated capacity of the power battery, and the calculation period is long.
Disclosure of Invention
Aiming at the problems of insufficient applicability and timeliness caused by the condition that the room temperature environment and the slow charging condition of the vehicle are needed in the existing power battery rated capacity calculation method, the invention provides a power battery rated capacity calculation scheme which is more convenient for the vehicle end operation, short in calculation period and strong in applicability and timeliness.
The invention discloses a method for calculating rated capacity of a power battery, which comprises the following steps:
s1, acquiring a real SOC value and an estimated SOC value of a power battery when a set working condition of an electric vehicle is finished; obtaining the residual capacity of the power battery at the end of the set working condition according to the estimated SOC value of the power battery;
and S2, obtaining the rated capacity of the power battery according to the real SOC value and the residual capacity of the power battery when the set working condition is ended.
In the above technical solution, in step S1, the method for obtaining the true SOC value of the power battery when the set working condition is finished includes:
s101, obtaining the internal resistance R of the power battery at the end of the set working condition B ；
S102, according to the environmental temperature T of the power battery A Internal resistance R of power battery B The mapping relation between the real SOC value and the real SOC value of the power battery is used for obtaining the real SOC value of the power battery at the end of a set working condition; the mapping relation is irrelevant to the stage of the vehicle, is relevant to the performance of the power battery, and is obtained through calibration;
in the above technical solution, in step S101, the internal resistance R of the power battery at the end of the set working condition is obtained B The method of (1) comprises the following steps:
s1001, obtaining a motor controller side terminal voltage U when the set working condition of the electric vehicle is finished M And power battery side terminal voltage U B The method comprises the steps of carrying out a first treatment on the surface of the Said voltage U M And U B Slave battery management system (B)MS);
obtaining a sum C of capacitances of capacitive controller loads in a high-voltage loop of an electric vehicle T ；
Acquiring a pre-charge resistance R in a high-voltage loop of an electric vehicle P ；
Acquiring total resistance R of each capacitive controller load in high-voltage loop of electric vehicle C ；
S1002, according to the duration t of the set working condition, the sum C of the capacitances of the capacitive controller loads T Side end voltage U of Motor Controller (MCU) at the end of the set working condition M Side terminal voltage U of power battery B Resistance value R of precharge resistor P And the total resistance R of each capacitive controller load C Calculating the internal resistance R of the power battery B 。
In the above technical scheme, the set working condition is a pre-charging working condition of the electric vehicle.
The second purpose of the invention is achieved by a power battery rated capacity calculation system, which comprises a real SOC value acquisition module, a residual capacity calculation module and a rated capacity calculation module;
the real SOC value acquisition module is used for acquiring the real SOC value SOC of the power battery when the set working condition of the electric vehicle is ended R ；
The residual capacity calculation module is used for estimating the SOC value SOC of the power battery at the end of the set working condition C Obtaining the residual capacity C of the power battery at the end of the set working condition R ；
The rated capacity calculation module is used for calculating the true SOC value SOC of the power battery according to the set working condition R And remaining capacity C of the power battery R Obtaining rated capacity C of the power battery N 。
A non-transitory computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements any step of the method of calculating a rated capacity of a power battery.
The system and the method can solve the problems of insufficient applicability and timeliness caused by the condition that the room temperature environment and the vehicle are required to be slowly charged in the existing power battery rated capacity calculation method, can rapidly and accurately obtain the rated capacity of the power battery, remarkably improve the SOC and SOH estimation precision of the power battery, are beneficial to reasonable use of the power battery, and ensure efficient driving on the basis of safety of the electric vehicle.
Drawings
FIG. 1 is a schematic flow chart of the method of the present invention;
fig. 2 is a schematic diagram of a common high voltage circuit of an electric vehicle.
Detailed Description
The following detailed description is presented to explain the claimed invention and to enable those skilled in the art to understand the claimed invention. The scope of the invention is not limited to the following specific embodiments. It is also within the scope of the invention to include the claims of the present invention as made by those skilled in the art, rather than the following detailed description.
S1, acquiring a real SOC value SOC of a power battery when a set working condition of an electric vehicle is finished R And estimating SOC value SOC C The method comprises the steps of carrying out a first treatment on the surface of the Based on the estimated SOC value SOC of the power battery C Obtaining the residual capacity C of the power battery at the end of the set working condition R ；
The set working condition in the embodiment is a pre-charging working condition of the electric vehicle, the duration of the working condition is short, and the rated capacity of a power battery loaded on the vehicle can be quickly obtained by utilizing the working condition of the electric vehicle;
the pre-charge is an electrical behavior specific to the electric vehicle, i.e. the electric vehicle needs to be pre-charged before being powered up at high voltage. The electric vehicle needs to be precharged because the front ends of high-voltage controller loads (such as a motor controller MCU, a DCDC controller, an AC controller, an OBC controller and the like) in a direct-current circuit connected with a power battery all have larger capacitances, the voltage before charging of the capacitances is close to 0, the terminal voltage of the power battery is generally more than 300 volts, the resistance of a high-voltage loop is generally less than 100mΩ, if the direct high-voltage power is not precharged, the maximum current of the high-voltage loop can reach more than 3000A in the moment of high-voltage power, and circuit faults such as relay adhesion, fuse ablation, wire harness short circuit ignition and the like are easily caused.
As shown in fig. 2, which is a schematic diagram of a common high-voltage circuit of an electric vehicle, in general, a power battery in the high-voltage circuit of the electric vehicle is an energy supply source, in this embodiment MCU, DCDC, AC and OBC are capacitive controller loads, and in the high-voltage circuit, there are 4 high-voltage relays, namely: the pre-charging resistor in the circuit plays a role in current limiting. The pre-charging process is to simultaneously attract the pre-charging relay, the accessory relay and the negative relay, and compare the side end voltage U of the power battery B Side end voltage U of motor controller M When U M Greater than or equal to 95% U B The positive relay is attracted and the pre-charging relay is disconnected to complete pre-charging.
In this embodiment, the estimated SOC value SOC of the power battery at the end of the precharge condition C Read from the BMS system.
In this embodiment, the true SOC value SOC of the power battery at the end of the precharge R The acquisition method of (1) comprises the following steps:
s101, obtaining the internal resistance R of the power battery at the end of the set working condition B ；
First, when the capacitor is charged, the relationship formula of the capacitor, the voltage and the time is as follows:
（1）
wherein:
U t the real-time voltage of the capacitor;
U 0 the initial voltage of the capacitor;
U ACC is the power supply voltage;
t is the precharge duration of the electric vehicle;
r is the resistance of a high-voltage loop of the electric vehicle;
c is the capacitance value of the capacitor.
In effect during prechargeInitially there is no charge on the capacitor, i.e. U 0 Equal to 0, equation (1) can be simplified as follows:
（2）
in particular to the high-voltage circuit of the electric vehicle in fig. 2, the meaning of each parameter in formula (2) is as follows:
U t motor Controller (MCU) side terminal voltage U at the end of precharging an electric vehicle M ；
U ACC Terminal voltage U at power battery side at end of precharge for electric vehicle B ；
R is the resistance of the internal resistance of the power battery, the pre-charge resistance and the total resistance of all the capacitors (MCU front-end capacitor, DCDC front-end capacitor, AC front-end capacitor and OBC front-end capacitor) in the high-voltage loop of the electric vehicle;
c is the sum of the capacitance values of all the capacitors on the high-voltage loop of the electric vehicle;
therefore, for a high-voltage circuit of an electric vehicle, the calculation formula of the relationship between capacitance, voltage and time is shown in the following formula (3):
（3）
wherein:
C MCU the capacitance value of the front end capacitor of the MCU is the motor controller;
C DCDC the capacitance value of the DCDC front-end capacitor is set;
C AC the capacitance value of the front-end capacitor is AC;
C OBC the capacitance value of the front-end capacitor of the OBC;
R B is the resistance value of the internal resistance of the power battery;
R P the resistance value of the precharge resistor;
R C the total resistance of MCU, DCDC, AC and OBC is:
1/R C =1/R MCU +1/R DCDC +1/R AC +1/R OBC
performing deformation treatment on the formula (3) to obtain the internal resistance R of the power battery B The relationship with voltage, capacitance and time is as follows:
（4）
as shown in the formula (4), after the model numbers of the pre-charge resistor, MCU, DCDC, DCDC and OBC are determined, the related physical quantity R P 、R C 、C MCU 、C AC 、C DCDC C (C) OBC Are fixed values, namely, do not change along with the change of the environment temperature and the state of the power battery, so that the formula (4) is simplified into the following formula (5):
（5）
formula (5) above, C in this embodiment T Is C MCU 、C AC 、C DCDC And C OBC Sum, R E Is R P And R is R C Sum, R E Only with pre-charge resistor, MCU, DCDC, AC and OBC model specification; thus R is E Is a fixed value; c (C) T Is only related to MCU, DCDC, AC and OBC model specifications, thus C T Also a fixed value. Therefore, the internal resistance R of the power battery during each precharge can be obtained by using the formula (5) B Is a resistance value of (a).
S102, according to the ambient temperature T A Internal resistance R of power battery B Mapping relation with the true SOC of the power battery to obtain the true SOC value SOC of the power battery at the end of the set working condition R ；
Internal resistance R of power battery according to electrochemical performance B With ambient temperature T A True SOC value SOC R Correlation, i.e. R B And said T A 、SOC R And a mapping relation exists, and the mapping relation is obtained through the test and calibration of the battery rack performance test. Thus according to the internal resistance R of the power battery B And the measured ambient temperature T A Through the said mappingThe shooting relation can obtain the value SOC of the real SOC R 。
In this embodiment, the estimated SOC value SOC of the power battery C Obtaining the residual capacity C of the power battery at the end of the set working condition R The method of (2) is as follows:
estimated SOC value SOC of electric vehicle C The calculation method of (2) is shown in the following formula (6):
（6）
wherein, the SOC value is estimated C Can be directly read from BMS, and average rated capacity C AN The power battery manufacturer is a fixed design value (for example, 100 batteries are arranged in a batch, the 100 battery capacity specifications are arranged into normal distribution from small to large, and the average rated capacity is the capacity corresponding to the maximum value of the normal distribution curve). Therefore, the remaining capacity C of the power battery at the end of the set operation can be obtained according to the above formula (6) R The formula of (2) is as follows:
C R =SOC C * C AN （7）
s2, according to the real SOC value SOC of the power battery R And the remaining capacity C of the power battery at the end of the set working condition R Obtaining rated capacity C of the power battery N
According to definition, the true SOC value SOC of the power battery R Equal to the residual capacity C R And rated capacity C N Ratio of (2), namely:
（8）
the rated capacity C of the power battery can be obtained according to the formula (7) and the formula (8) N The calculation formula is as follows:
the method of the present invention is performed on a Battery Management System (BMS) of an electric vehicle; it should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
The embodiment of the application also provides a power battery rated capacity calculation system, which comprises a real SOC value acquisition module, a residual capacity calculation module and a rated capacity calculation module;
the real SOC value acquisition module is used for acquiring the real SOC value SOC of the power battery when the set working condition of the electric vehicle is ended R ；
The residual capacity calculation module is used for estimating the SOC value SOC of the power battery at the end of the set working condition C Obtaining the residual capacity C of the power battery at the end of the set working condition R ；
The rated capacity calculation module is used for calculating the true SOC value SOC of the power battery according to the set working condition R And remaining capacity C of the power battery R Obtaining rated capacity C of the power battery N 。
The system further comprises a power battery internal resistance acquisition module for acquiring the internal resistance R of the power battery at the end of the set working condition B 。
Further, the system also comprises a mapping relation acquisition module, wherein the mapping relation comprises the ambient temperature T where the power battery is located A Internal resistance R of power battery B Mapping relation with the real SOC value of the power battery, wherein the mapping relation is used for calculating the real SOC value SOC of the power battery at the end of the set working condition R 。
Further, the power battery internal resistance acquisition module further comprises a voltage acquisition module, a capacitance acquisition module and a resistance acquisition module;
the voltage acquisition module is used for acquiring side end voltage U of a Motor Controller (MCU) when the set working condition of the electric vehicle is finished M And power battery side terminal voltage U B The method comprises the steps of carrying out a first treatment on the surface of the As shown in fig. 2;
the capacitance acquisition module is used for acquiring the load of each capacitive controller in the high-voltage loop of the electric vehicleSum of capacitances C of (2) T ；
The resistance acquisition module is used for acquiring a pre-charge resistance value R in a high-voltage loop of the electric vehicle P And the total resistance R of each capacitive controller load C 。
The embodiments of the present application further provide a computer readable storage medium, where a computer program is stored, where the computer program includes program instructions, and when the program instructions are executed by a processor, implement each step of the method of the present invention, which is not described herein.
The computer readable storage medium may be the data transmission apparatus provided in any of the foregoing embodiments or an internal storage unit of a computer device, for example, a hard disk or a memory of the computer device. The computer readable storage medium may also be an external storage device of the computer device, such as a plug-in hard disk, a Smart Media Card (SMC), a Secure Digital (SD) card, a flash card (flash card) or the like, which are provided on the computer device.
Further, the computer-readable storage medium may also include both internal storage units and external storage devices of the computer device. The computer-readable storage medium is used to store the computer program and other programs and data required by the computer device. The computer-readable storage medium may also be used to temporarily store data to be output or already output.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flow and/or block of the flowchart illustrations and/or block diagrams, and combinations of flows and/or blocks in the flowchart illustrations and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
What is not described in detail in this specification is prior art known to those skilled in the art.
Claims (7)
1. The calculation method of the rated capacity of the power battery is characterized by comprising the following steps of:
s1, acquiring a real SOC value and an estimated SOC value of a power battery when a set working condition of an electric vehicle is finished; obtaining the residual capacity of the power battery at the end of the set working condition according to the estimated SOC value of the power battery;
s2, obtaining rated capacity of the power battery according to the real SOC value of the power battery and the residual capacity of the power battery when the set working condition is finished;
the set working condition is a pre-charging working condition of the electric vehicle;
in the step S1, the method for obtaining the true SOC value of the power battery at the end of the set working condition includes:
s101, obtaining the internal resistance R of the power battery at the end of the set working condition B ；
S102, according to the environmental temperature T of the power battery A Internal resistance R of power battery B The mapping relation between the real SOC value and the real SOC value of the power battery is used for obtaining the real SOC value of the power battery when the set working condition is finished;
in the step S101, the internal resistance R of the power battery at the end of the set working condition is obtained B The method of (1) comprises the following steps:
s1001, obtaining motor controller side terminal voltage U when set working condition of electric vehicle is finished M And power battery side terminal voltage U B ；
Obtaining a sum C of capacitances of capacitive controller loads in a high-voltage loop of an electric vehicle T ；
Acquiring a pre-charge resistance R in a high-voltage loop of an electric vehicle P ；
Acquiring total resistance R of each capacitive controller load in high-voltage loop of electric vehicle C ；
S1002, according to the duration t of the set working condition, the sum C of the capacitances of the capacitive controller loads T Side end voltage U of motor controller M And power battery side terminal voltage U B Resistance value R of precharge resistor P And the total resistance R of each capacitive controller load C Calculating the internal resistance R of the power battery B 。
2. The method of calculating the rated capacity of a power battery according to claim 1, wherein the internal resistance R of the power battery is calculated according to the following formula B ：
Wherein:
C T a sum of capacitances for each capacitive controller load;
t is the precharge time of the high-voltage precharge circuit of the electric vehicle;
U M the voltage is the side end voltage of the motor controller;
U B is the side end voltage of the power battery;
R E for precharging resistance R P And the total resistance R of each capacitive controller load C And (3) summing.
3. A power battery rated capacity calculation system adopting the method of claim 1, which is characterized by comprising a real SOC value acquisition module, a residual capacity calculation module and a rated capacity calculation module;
the real SOC value acquisition module is used for acquiring a real SOC value of the power battery when the set working condition of the electric vehicle is finished;
the residual capacity calculation module is used for obtaining the residual capacity of the power battery at the end of the set working condition according to the estimated SOC value of the power battery at the end of the set working condition;
and the rated capacity calculation module is used for obtaining the rated capacity of the power battery according to the real SOC value of the power battery and the residual capacity of the power battery when the set working condition is ended.
4. The power cell rated capacity computing system of claim 3, further comprising a power cell internal resistance acquisition module for acquiring internal resistance of the power cell at the end of the set operating condition.
5. The power battery rated capacity computing system of claim 4 further comprising a mapping relationship acquisition module, wherein the mapping relationship comprises a mapping relationship of an ambient temperature of the power battery, an internal resistance of the power battery and a real SOC value of the power battery, and the mapping relationship is used for computing the real SOC value of the power battery at the end of the set working condition.
6. The power cell rated capacity computing system of claim 4 or 5, further comprising a voltage acquisition module, a capacitance acquisition module, and a resistance acquisition module;
the voltage acquisition module is used for acquiring the side end voltage of the motor controller and the side end voltage of the power battery when the set working condition of the electric vehicle is finished;
the capacitance acquisition module is used for acquiring the sum of the capacitances of the capacitive controller loads in the high-voltage loop of the electric vehicle;
the resistance acquisition module is used for acquiring the pre-charge resistance value and the total resistance of each capacitive controller load in a high-voltage loop of the electric vehicle.
7. A non-transitory computer readable storage medium, on which a computer program is stored, characterized in that the computer program, when executed by a processor, implements the steps of the power battery rated capacity calculation method according to any one of claims 1 to 2.
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Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012120347A (en) * | 2010-12-01 | 2012-06-21 | Denso Corp | Battery control system, battery ecu, charge/discharge control ecu |
| CN105676135A (en) * | 2016-01-13 | 2016-06-15 | 北京航天发射技术研究所 | Online estimation method of power lead-acid battery of special engineering vehicle |
| CN106291378A (en) * | 2016-08-15 | 2017-01-04 | 金龙联合汽车工业（苏州）有限公司 | A kind of measuring method of electric automobile power battery SOH |
| CN109507611A (en) * | 2018-11-22 | 2019-03-22 | 安徽江淮汽车集团股份有限公司 | A kind of the SOH modification method and system of electric car |
| CN111007412A (en) * | 2019-12-25 | 2020-04-14 | 宜宾凯翼汽车有限公司 | Method for updating actual available capacity of power battery |
| CN112147513A (en) * | 2020-09-23 | 2020-12-29 | 南京工程学院 | Power battery SOC multidimensional calibration method |
| CN113484771A (en) * | 2021-07-01 | 2021-10-08 | 昆明理工大学 | Method for estimating wide-temperature full-life SOC and capacity of lithium ion battery |
| CN116512980A (en) * | 2023-07-04 | 2023-08-01 | 北京重理能源科技有限公司 | Power distribution method, device, equipment and medium based on internal resistance of power battery |
-
2023
- 2023-10-10 CN CN202311302356.6A patent/CN117022050B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2012120347A (en) * | 2010-12-01 | 2012-06-21 | Denso Corp | Battery control system, battery ecu, charge/discharge control ecu |
| CN105676135A (en) * | 2016-01-13 | 2016-06-15 | 北京航天发射技术研究所 | Online estimation method of power lead-acid battery of special engineering vehicle |
| CN106291378A (en) * | 2016-08-15 | 2017-01-04 | 金龙联合汽车工业（苏州）有限公司 | A kind of measuring method of electric automobile power battery SOH |
| CN109507611A (en) * | 2018-11-22 | 2019-03-22 | 安徽江淮汽车集团股份有限公司 | A kind of the SOH modification method and system of electric car |
| CN111007412A (en) * | 2019-12-25 | 2020-04-14 | 宜宾凯翼汽车有限公司 | Method for updating actual available capacity of power battery |
| CN112147513A (en) * | 2020-09-23 | 2020-12-29 | 南京工程学院 | Power battery SOC multidimensional calibration method |
| CN113484771A (en) * | 2021-07-01 | 2021-10-08 | 昆明理工大学 | Method for estimating wide-temperature full-life SOC and capacity of lithium ion battery |
| CN116512980A (en) * | 2023-07-04 | 2023-08-01 | 北京重理能源科技有限公司 | Power distribution method, device, equipment and medium based on internal resistance of power battery |
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