CN116699408A - Cloud data-based power battery SOH estimation method and system - Google Patents

Cloud data-based power battery SOH estimation method and system Download PDF

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Publication number
CN116699408A
CN116699408A CN202310458144.0A CN202310458144A CN116699408A CN 116699408 A CN116699408 A CN 116699408A CN 202310458144 A CN202310458144 A CN 202310458144A CN 116699408 A CN116699408 A CN 116699408A
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soh
power battery
soc
capacity
primary
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吴磊
徐亮亮
刘海洋
朱广燕
赵国华
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Chery Commercial Vehicle Anhui Co Ltd
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Chery Commercial Vehicle Anhui Co Ltd
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    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/4207—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells for several batteries or cells simultaneously or sequentially
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • 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
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
    • H—ELECTRICITY
    • H01—ELECTRIC ELEMENTS
    • H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
    • H01M10/00—Secondary cells; Manufacture thereof
    • H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
    • H01M10/44—Methods for charging or discharging
    • H01M10/441—Methods for charging or discharging for several batteries or cells simultaneously or sequentially
    • 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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  • Engineering & Computer Science (AREA)
  • Manufacturing & Machinery (AREA)
  • Chemical & Material Sciences (AREA)
  • Chemical Kinetics & Catalysis (AREA)
  • Electrochemistry (AREA)
  • General Chemical & Material Sciences (AREA)
  • Physics & Mathematics (AREA)
  • General Physics & Mathematics (AREA)
  • Microelectronics & Electronic Packaging (AREA)
  • Secondary Cells (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)

Abstract

The invention discloses a cloud data-based power battery SOH estimation method and a cloud data-based power battery SOH estimation system. Uploading the power battery data to a cloud platform; the cloud platform determines the initial SOC, the full charge SOC and the charging capacity of the power battery under a preset charging condition according to the power battery data; determining the actual capacity of the power battery according to the initial SOC, the full charge SOC and the charge capacity; determining an SOH primary value of the power battery according to the rated capacity and the actual capacity of the power battery, and storing the SOH primary value to the cloud platform; when the SOH primary value is obtained for the first time, the SOH primary value obtained for the first time is determined as the current SOH estimated value, or the current SOH estimated value is determined according to the current SOH primary value and the SOH estimated value obtained before. The method solves the problems of complex and tedious testing process and large investment in the process of acquiring SOH, has strong adaptability, does not need to retest and match a new battery cell, can perform SOH estimation before and after battery cell replacement, module replacement and battery pack replacement, and provides reliable basis for evaluation.

Description

Cloud data-based power battery SOH estimation method and system
Technical Field
The invention relates to the technical field of power batteries, in particular to a cloud data-based power battery SOH estimation method and system.
Background
SOH (State of Health) is the health of the battery, and is the ratio of the performance parameter to the nominal parameter after the battery is used for a period of time, the newly shipped battery is 100%, and the total scrapping is 0%. The ratio of the capacity discharged from the battery in a full charge state to a cut-off voltage at a certain rate to the nominal capacity corresponding to the capacity can be understood as the limit capacity of the battery.
The current estimation method of the SOH of the lithium ion power battery mainly comprises the steps of carrying out charge and discharge tests in a front-stage laboratory to obtain capacity attenuation and high-temperature aging tests corresponding to battery cycle times and obtaining calendar life parameters of the battery through software fitting simulation, so that the current health degree of the battery is estimated. The method needs a large number of tests in the early stage, the test is carried out to obtain the data of capacity, voltage and temperature under different multiplying power circulation times, the period is long, the data volume is large, a large amount of manpower and material resources are needed to be input, and the new battery core needs to be subjected to test matching again after the process of the battery core material is switched.
Disclosure of Invention
In order to solve the above problems, the present invention provides a method and a system for estimating SOH of a power battery based on cloud data through a specific embodiment.
In a first aspect, an embodiment of the present invention provides a method for estimating SOH of a power battery based on cloud data, including the steps of:
uploading the power battery data to a cloud platform;
the cloud platform determines the initial SOC, the full charge SOC and the charging capacity of the power battery under a preset charging condition according to the power battery data;
determining the actual capacity of the power battery according to the initial SOC, the full charge SOC and the charging capacity;
determining an SOH primary value of the power battery according to the rated capacity and the actual capacity of the power battery, and storing the SOH primary value to the cloud platform;
and when the SOH primary value is obtained for the first time, determining the SOH primary value obtained for the first time as the SOH estimated value, and when the SOH primary value is not obtained for the first time, determining the SOH estimated value according to the SOH primary value and the SOH estimated value obtained before the current time.
Specifically, the power battery data comprises the rated capacity, current, SOC and charge and discharge states of the power battery.
Specifically, the cloud platform determines an initial SOC of the power battery under a preset charging condition according to the power battery data, and includes the following steps:
before charging, standing a vehicle in which the power battery is positioned, and when the standing meets preset conditions, acquiring an OCV curve of the power battery, and acquiring a static state of charge (SOC) according to the OCV curve;
at the beginning of charging, subtracting the ratio of the capacity consumed by the vehicle from rest to the beginning of charging to the rated capacity of the power battery from the static SOC to obtain the initial SOC.
Optionally, the actual capacity of the power battery is determined according to the initial SOC, the full charge SOC and the charge capacity, specifically, the actual capacity of the power battery is determined by the following formula,
C actual practice is that of ＝C Charging method /(SOC 2 -SOC 1 )
Wherein C is Actual practice is that of Representing the actual capacity of the power battery, C Charging method Indicating charge capacity, SOC 1 Representing the initial SOC, SOC 2 Indicating the SOC at full charge.
Alternatively, the SOH primary value of the power battery is determined based on the rated capacity of the power battery and the actual capacity, specifically, the SOH primary value of the power battery is determined by the following formula,
SOH primary stage ＝(C Actual practice is that of /C Rated for )×100％
Wherein SOH Primary stage Representing movementsSOH primary value, C of force cell Actual practice is that of Representing the actual capacity of the power battery, C Rated for Representing the power cell rated capacity.
Optionally, when the SOH primary value is not obtained for the first time, determining the current SOH estimated value according to the current SOH primary value and the SOH estimated value obtained before the current time, specifically, determining the current SOH estimated value by the following formula,
SOH this estimation ＝SOH Last estimation ×0.9+SOH This time primary ×0.1
Wherein SOH This estimation Representing the current SOH estimate, SOH Last estimation Representing the last SOH estimate, SOH This time primary Indicating the current SOH primary value.
Optionally, the cloud data-based power battery SOH estimation method further includes the following steps:
and fitting according to the SOH estimated values to obtain an SOH curve, and determining a new SOH estimated value according to the SOH curve.
In a second aspect, an embodiment of the present invention provides a power battery SOH estimation system based on cloud data, including:
the cloud data calculation unit is used for uploading the power battery data to the cloud platform; the cloud platform determines the initial SOC, the full charge SOC and the charging capacity of the power battery under a preset charging condition according to the power battery data; determining the actual capacity of the power battery according to the initial SOC, the full charge SOC and the charging capacity; determining an SOH primary value of the power battery according to the rated capacity and the actual capacity of the power battery, and storing the SOH primary value to the cloud platform; and when the SOH primary value is obtained for the first time, determining the SOH primary value obtained for the first time as the SOH estimated value, and when the SOH primary value is not obtained for the first time, determining the SOH estimated value according to the SOH primary value and the SOH estimated value obtained before the current time.
Specifically, the power battery data comprises rated capacity, current, SOC and charge and discharge states of the power battery;
before charging, standing a vehicle in which the power battery is positioned, and when the standing meets preset conditions, acquiring an OCV curve of the power battery, and acquiring a static state of charge (SOC) according to the OCV curve;
subtracting the ratio of the capacity consumed by the vehicle from rest to the beginning of charging from the static SOC to the rated capacity of the power battery at the beginning of charging to obtain an initial SOC;
the actual capacity of the power cell is determined by,
C actual practice is that of ＝C Charging method /(SOC 2 -SOC 1 )
Wherein C is Actual practice is that of Representing the actual capacity of the power battery, C Charging method Indicating charge capacity, SOC 1 Representing the initial SOC, SOC 2 Indicating the full charge SOC;
the SOH primary value of the power cell is determined by,
SOH primary stage ＝(C Actual practice is that of /C Rated for )×100％
Wherein SOH Primary stage Representing SOH primary value, C of power battery Actual practice is that of Representing the actual capacity of the power battery, C Rated for Representing the rated capacity of the power battery;
the current SOH estimate is determined by,
SOH this estimation ＝SOH Last estimation ×0.9+SOH This time primary ×0.1
Wherein SOH This estimation Representing the current SOH estimate, SOH Last estimation Representing the last SOH estimate, SOH This time primary Indicating the current SOH primary value.
Optionally, the cloud data-based power battery SOH estimation system further includes:
and the SOH curve fitting unit is used for fitting to obtain an SOH curve according to the SOH estimated values, and determining a new SOH estimated value according to the SOH curve.
The technical scheme provided by the embodiment of the invention has the beneficial effects that at least:
the problem that the testing process is complex and tedious and a large amount of manpower and material resources are required to be input when the SOH is obtained is solved, the scheme is high in adaptability, new battery cells do not need to be tested and matched again, SOH estimation can be carried out before and after battery cell replacement, module replacement and battery pack replacement, and reliable basis is provided for evaluating the service life and safety of the battery.
Additional features and advantages of the invention will be set forth in the description which follows, and in part will be obvious from the description, or may be learned by practice of the invention. The objectives and other advantages of the invention will be realized and attained by the structure particularly pointed out in the written description and claims thereof as well as the appended drawings.
The technical scheme of the invention is further described in detail through the drawings and the embodiments.
Drawings
The accompanying drawings are included to provide a further understanding of the invention and are incorporated in and constitute a part of this specification, illustrate the invention and together with the embodiments of the invention, serve to explain the invention. In the drawings:
fig. 1 is a flowchart of a method for estimating SOH of a power battery based on cloud data according to an embodiment of the present invention;
FIG. 2 is a SOH graph of a power cell in an embodiment of the invention;
fig. 3 is a block diagram of a power battery SOH estimation system based on cloud data according to an embodiment of the present invention.
Detailed Description
Exemplary embodiments of the present disclosure will be described in more detail below with reference to the accompanying drawings. While exemplary embodiments of the present disclosure are shown in the drawings, it should be understood that the present disclosure may be embodied in various forms and should not be limited to the embodiments set forth herein. Rather, these embodiments are provided so that this disclosure will be thorough and complete, and will fully convey the scope of the disclosure to those skilled in the art.
In order to solve the problems in the prior art, the embodiment of the invention provides a power battery SOH estimation method and system based on cloud data.
The embodiment of the invention provides a cloud data-based power battery SOH estimation method, which has a flow shown in a figure 1 and comprises the following steps:
step S1: and uploading the power battery data to the cloud platform. In some specific embodiments, the vehicle TBOX (Telematics-BOX) is utilized to upload power battery data to the cloud platform, including power battery rated capacity, current, SOC (State of Charge), charge and discharge status. The SOC is the ratio of the remaining capacity of the battery to the capacity in the fully charged state, and is usually expressed as a percentage. The value range is 0-1, and the battery is completely discharged when soc=0, and completely full when soc=100%.
Step S2: and the cloud platform determines the initial SOC, the full charge SOC and the charging capacity of the power battery under the preset charging working condition according to the power battery data.
In some specific embodiments, the cloud platform determines an initial SOC of the power battery under a preset charging condition according to the power battery data, including the following steps: before charging, standing a vehicle in which the power battery is positioned, and when the standing meets preset conditions, acquiring an OCV curve of the power battery, and acquiring a static state of charge (SOC) according to the OCV curve; at the beginning of charging, subtracting the ratio of the capacity consumed by the vehicle from rest to the beginning of charging to the rated capacity of the power battery from the static SOC to obtain the initial SOC.
Step S3: determining the actual capacity of the power battery according to the initial SOC, the full charge SOC and the charging capacity; and determining an SOH primary value of the power battery according to the rated capacity and the actual capacity of the power battery, and storing the SOH primary value to the cloud platform.
In some specific embodiments, the actual capacity of the power battery is determined based on the initial SOC, the SOC at full charge, and the charge capacity, specifically by determining the actual capacity of the power battery by,
C actual practice is that of ＝C Charging method /(SOC 2 -SOC 1 )
Wherein C is Actual practice is that of Representing the actual capacity of the power battery, C Charging method Indicating charge capacity, SOC 1 Representing the initial SOC, SOC 2 Indicating full chargeSOC。
In some specific embodiments, the SOH primary value of the power cell is determined based on the rated capacity of the power cell and the actual capacity, in particular, by the following equation,
SOH primary stage ＝(C Actual practice is that of /C Rated for )×100％
Wherein SOH Primary stage Representing SOH primary value, C of power battery Actual practice is that of Representing the actual capacity of the power battery, C Rated for Representing the power cell rated capacity.
Each power battery pack is provided with a plurality of power battery cells, each power battery cell comprises a pair of positive and negative electrode cells, each pair of positive and negative electrode cells in the power battery pack are numbered, SOH of each power battery cell is calculated, as shown in fig. 2, the abscissa represents the cell number, the ordinate represents the SOH value, and the minimum value in SOH of the power battery cells in the power battery pack is taken and recorded as the SOH primary value of the corresponding power battery pack.
Step S4: and when the SOH primary value is obtained for the first time, determining the SOH primary value obtained for the first time as the SOH estimated value, and when the SOH primary value is not obtained for the first time, determining the SOH estimated value according to the SOH primary value and the SOH estimated value obtained before the current time.
In some embodiments, when the SOH primary value is not obtained for the first time, the current SOH estimate is determined based on the current SOH primary value and the SOH estimate obtained before the current time, specifically, the current SOH estimate, SOH, is determined by This estimation ＝SOH Last estimation ×0.9+SOH This time primary ×0.1
Wherein SOH This estimation Representing the current SOH estimate, SOH Last estimation Representing the last SOH estimate, SOH This time primary Indicating the current SOH primary value.
Step S5: and fitting according to the SOH estimated values to obtain an SOH curve, and determining a new SOH estimated value according to the SOH curve.
In some specific embodiments, relevant data of a power battery on a whole vehicle TBOX is utilized to a cloud platform, and SOH of the power battery is calculated through the cloud, so that the problems of complex and tedious SOH test data test and large input of manpower and material resources are mainly solved. The method comprises the following steps:
1) Rated capacity C of power battery leaving factory Rated for And storing the data to a cloud data platform.
2) The method comprises the steps of collecting power battery related data including single voltage, temperature, current, SOC, charge and discharge states and the like by using a BMS (Battery Management System ) and uploading the data to a cloud data platform; the cloud platform performs data processing according to the charge and discharge states of the battery, and calculates the initial SOC of the battery under the specific charge working condition of the power battery 1 Capacity SOC at full charge 2 Charging capacity C; actual capacity C Actual practice is that of ＝C Charging method /(SOC 2 -SOC 1 ) The method comprises the steps of carrying out a first treatment on the surface of the Calculate the actual soh=c Actual practice is that of /C Rated for *100% and stored.
Wherein, the specific charging condition of the battery means that the current initial SOC is found according to the SOC-OCV curve of the power battery after the vehicle is fully kept stand in order to obtain the accurate initial SOC 0 . OCV (open circuit voltage ) refers to the potential difference between the two poles when the battery is not discharged and is open. The battery is kept stand for a long time after being charged or discharged, the battery is eliminated from polarization influence to reach a stable state, and the voltage at two ends of the battery is an open-circuit voltage which is not influenced by charge and discharge current and is related to the battery material and the charge state. At a certain temperature, the charge state of the battery and the open circuit voltage show a one-to-one correspondence. The power cell SOC-OCV curve may be derived from a SOC-OCV table of charge and discharge provided by the power cell manufacturer.
The vehicle runs to the charging pile for direct current charging, and the SOC is started when charging 1 Is static SOC 0 The ratio of the consumed capacity to the rated capacity in the driving process can be subtracted, and the ratio can be obtained by an ampere-hour integration method, and the formula is as follows: SOC (State of Charge) 1 ＝SOC 0 -∫I·dt/C Rated for Wherein C is Rated for Indicating rated capacity of power battery, SOC 1 The initial SOC, I the power battery current, and t the time.
When the power battery is charged in direct current, the charging time is taken as t 0 At the moment when the voltage of the power battery reaches the cut-off voltage, the time is t 1 Calculating the real-time capacity C of each direct current charging through ampere-hour integration Charging method And fully charged SOC 2 。
3) To ensure accuracy of each calculation to prevent abrupt changes in the abnormal situation, the stored data is weighted filtered: SOH stored = SOH last stored 0.9+ SOH calculated newly 0.1.
4) And (3) repeating the step (2) and the step (3) along with the continuous use of the electric automobile to obtain new relative SOH data, and then obtaining a fitting curve of the relative SOH through polynomial fitting.
The method has strong adaptability, and can solve the SOH estimation problems after the battery cell replacement, the module replacement and the battery pack replacement. Providing reliable basis for evaluating the service life and safety of the battery.
In one embodiment, as shown in table 1, the power cells of an electric vehicle having a vehicle identification number VIN of LVUDB27B9JF077781 are evaluated.
Table 1 power cell data
VIN LVUDB27B9JF077781
report_num (report number) SQR6460BEVK09
Date (evaluation Date) 2022/10/27
Total_mils (total mileage) 34195
pack_ SOH (stored SOH) 89
rated_capacity 129
The big data platform calculated the SOH of the vehicle as 89%. According to the estimation method of the present embodiment, the SOC is changed from 55% to 100% between the stationary calibration point and the full charge calibration point, the accumulated charge capacity is 53.36Ah, and the current battery pack capacity isThe SOH estimate obtained by the test is +.>The result error is->The result is within the allowable error range.
In the method of the embodiment, the problems that the testing process is complex and tedious and a large amount of manpower and material resources are needed to be input when SOH is acquired are solved, the scheme is high in adaptability, new battery cells do not need to be subjected to test matching again, SOH estimation can be performed before and after battery cell replacement, module replacement and battery pack replacement, and reliable basis is provided for evaluating the service life and safety of the battery.
Those skilled in the art can change the order described above without departing from the scope of the present disclosure.
The embodiment of the invention also provides a system for estimating SOH of the power battery based on cloud data, which is shown in fig. 3 and comprises the following steps:
the cloud data calculation unit is used for uploading the power battery data to the cloud platform; the cloud platform determines the initial SOC, the full charge SOC and the charging capacity of the power battery under a preset charging condition according to the power battery data; determining the actual capacity of the power battery according to the initial SOC, the full charge SOC and the charging capacity; determining an SOH primary value of the power battery according to the rated capacity and the actual capacity of the power battery, and storing the SOH primary value to the cloud platform; and when the SOH primary value is obtained for the first time, determining the SOH primary value obtained for the first time as the SOH estimated value, and when the SOH primary value is not obtained for the first time, determining the SOH estimated value according to the SOH primary value and the SOH estimated value obtained before the current time.
Specifically, the power battery data comprises rated capacity, current, SOC and charge and discharge states of the power battery;
before charging, standing a vehicle in which the power battery is positioned, and when the standing meets preset conditions, acquiring an OCV curve of the power battery, and acquiring a static state of charge (SOC) according to the OCV curve;
subtracting the ratio of the capacity consumed by the vehicle from rest to the beginning of charging from the static SOC to the rated capacity of the power battery at the beginning of charging to obtain an initial SOC;
the actual capacity of the power cell is determined by,
C actual practice is that of ＝C Charging method /(SOC 2 -SOC 1 )
Wherein C is Actual practice is that of Representing the actual capacity of the power battery, C Charging method Indicating charge capacity, SOC 1 Representing the initial SOC, SOC 2 Indicating the full charge SOC;
the SOH primary value of the power cell is determined by,
SOH primary stage ＝(C Actual practice is that of /C Rated for )×100％
Wherein SOH Primary stage Representing SOH primary value, C of power battery Actual practice is that of Representing the actual capacity of the power battery, C Rated for Representing the rated capacity of the power battery;
the current SOH estimate is determined by,
SOH this estimation ＝SOH Last estimation ×0.9+SOH This time primary ×0.1
Wherein SOH This estimation Representing the current SOH estimateValue, SOH Last estimation Representing the last SOH estimate, SOH This time primary Indicating the current SOH primary value.
Optionally, the cloud data-based power battery SOH estimation system further includes: and the SOH curve fitting unit is used for fitting to obtain an SOH curve according to the SOH estimated values, and determining a new SOH estimated value according to the SOH curve.
The specific manner in which the individual units perform the operations in relation to the system of the above-described embodiments has been described in detail in relation to the embodiments of the method and will not be described in detail here.
In this embodiment, the problem that the testing process is complicated, loaded down with trivial details, needs to throw in a large amount of manpower and materials when obtaining SOH has been solved, and this scheme strong adaptability need not to test the matching again to new electric core, can all carry out SOH estimation before electric core change, module change, battery package change, for evaluating battery life and safe the providing reliable foundation.
Any modifications, additions, and equivalents within the principles of the present invention shall fall within the scope of the patent coverage of this patent.

Claims (10)

1. The power battery SOH estimation method based on the cloud data is characterized by comprising the following steps of:
uploading the power battery data to a cloud platform;
the cloud platform determines the initial SOC, the full charge SOC and the charging capacity of the power battery under a preset charging condition according to the power battery data;
determining the actual capacity of the power battery according to the initial SOC, the full charge SOC and the charging capacity;
determining an SOH primary value of the power battery according to the rated capacity and the actual capacity of the power battery, and storing the SOH primary value to the cloud platform;
and when the SOH primary value is obtained for the first time, determining the SOH primary value obtained for the first time as the SOH estimated value, and when the SOH primary value is not obtained for the first time, determining the SOH estimated value according to the SOH primary value and the SOH estimated value obtained before the current time.
2. The method of claim 1, wherein the power battery data comprises power battery rated capacity, current, SOC, charge-discharge status.
3. The method of claim 1, wherein the cloud platform determines an initial SOC of the power battery under a preset charging condition based on the power battery data, comprising the steps of:
before charging, standing a vehicle in which the power battery is positioned, and when the standing meets preset conditions, acquiring an OCV curve of the power battery, and acquiring a static state of charge (SOC) according to the OCV curve;
at the beginning of charging, subtracting the ratio of the capacity consumed by the vehicle from rest to the beginning of charging to the rated capacity of the power battery from the static SOC to obtain the initial SOC.
4. The method according to claim 1, wherein the actual capacity of the power battery is determined based on the initial SOC, the SOC at full charge and the charge capacity, in particular by determining the actual capacity of the power battery by,
C actual practice is that of ＝C Charging method /(SOC 2 -SOC 1 )
Wherein C is Actual practice is that of Representing the actual capacity of the power battery, C Charging method Indicating charge capacity, SOC 1 Representing the initial SOC, SOC 2 Indicating the SOC at full charge.
5. The method according to claim 1, wherein the SOH primary value of the power cell is determined on the basis of the rated capacity of the power cell and said actual capacity, in particular by determining the SOH primary value of the power cell by the following formula,
SOH primary stage ＝(C Actual practice is that of /C Rated for )×100％
Wherein SOH Primary stage Representing SOH primary value, C of power battery Actual practice is that of Representing power electricityPool actual capacity, C Rated for Representing the power cell rated capacity.
6. The method of claim 1, wherein when the SOH primary value is not obtained for the first time, the current SOH estimate is determined based on the current SOH primary value and the SOH estimate obtained before the current time, specifically, the current SOH estimate is determined by,
SOH this estimation ＝SOH Last estimation ×0.9+SOH This time primary ×0.1
Wherein SOH This estimation Representing the current SOH estimate, SOH Last estimation Representing the last SOH estimate, SOH This time primary Indicating the current SOH primary value.
7. The method according to any one of claims 1-6, wherein the cloud data based power battery SOH estimation method further comprises the steps of:
and fitting according to the SOH estimated values to obtain an SOH curve, and determining a new SOH estimated value according to the SOH curve.
8. A cloud data based power battery SOH estimation system, comprising:
the cloud data calculation unit is used for uploading the power battery data to the cloud platform; the cloud platform determines the initial SOC, the full charge SOC and the charging capacity of the power battery under a preset charging condition according to the power battery data; determining the actual capacity of the power battery according to the initial SOC, the full charge SOC and the charging capacity; determining an SOH primary value of the power battery according to the rated capacity and the actual capacity of the power battery, and storing the SOH primary value to the cloud platform; and when the SOH primary value is obtained for the first time, determining the SOH primary value obtained for the first time as the SOH estimated value, and when the SOH primary value is not obtained for the first time, determining the SOH estimated value according to the SOH primary value and the SOH estimated value obtained before the current time.
9. The system of claim 8, wherein,
the power battery data comprises power battery rated capacity, current, SOC and charge and discharge states;
before charging, standing a vehicle in which the power battery is positioned, and when the standing meets preset conditions, acquiring an OCV curve of the power battery, and acquiring a static state of charge (SOC) according to the OCV curve;
subtracting the ratio of the capacity consumed by the vehicle from rest to the beginning of charging from the static SOC to the rated capacity of the power battery at the beginning of charging to obtain an initial SOC;
the actual capacity of the power cell is determined by,
C actual practice is that of ＝C Charging method /(SOC 2 -SOC 1 )
Wherein C is Actual practice is that of Representing the actual capacity of the power battery, C Charging method Indicating charge capacity, SOC 1 Representing the initial SOC, SOC 2 Indicating the full charge SOC;
the SOH primary value of the power cell is determined by,
SOH primary stage ＝(C Actual practice is that of /C Rated for )×100％
Wherein SOH Primary stage Representing SOH primary value, C of power battery Actual practice is that of Representing the actual capacity of the power battery, C Rated for Representing the rated capacity of the power battery;
the current SOH estimate is determined by,
SOH this estimation ＝SOH Last estimation ×0.9+SOH This time primary ×0.1
Wherein SOH This estimation Representing the current SOH estimate, SOH Last estimation Representing the last SOH estimate, SOH This time primary Indicating the current SOH primary value.
10. The system of claim 8 or 9, wherein the cloud data based power cell SOH estimation system further comprises:
and the SOH curve fitting unit is used for fitting to obtain an SOH curve according to the SOH estimated values, and determining a new SOH estimated value according to the SOH curve.
CN202310458144.0A 2023-04-25 2023-04-25 Cloud data-based power battery SOH estimation method and system Pending CN116699408A (en)

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