CN113625176A - Lithium ion battery module SOC difference calculation method and device - Google Patents
Lithium ion battery module SOC difference calculation method and device Download PDFInfo
- Publication number
- CN113625176A CN113625176A CN202110881405.0A CN202110881405A CN113625176A CN 113625176 A CN113625176 A CN 113625176A CN 202110881405 A CN202110881405 A CN 202110881405A CN 113625176 A CN113625176 A CN 113625176A
- Authority
- CN
- China
- Prior art keywords
- soc
- modules
- charging
- calculating
- soc difference
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000004364 calculation method Methods 0.000 title claims abstract description 24
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 title claims abstract description 16
- 229910001416 lithium ion Inorganic materials 0.000 title claims abstract description 16
- 238000000034 method Methods 0.000 claims abstract description 28
- 238000012544 monitoring process Methods 0.000 claims abstract description 14
- GELKBWJHTRAYNV-UHFFFAOYSA-K lithium iron phosphate Chemical compound [Li+].[Fe+2].[O-]P([O-])([O-])=O GELKBWJHTRAYNV-UHFFFAOYSA-K 0.000 claims abstract description 13
- 230000006870 function Effects 0.000 claims description 15
- 238000004590 computer program Methods 0.000 claims description 13
- 238000004458 analytical method Methods 0.000 abstract description 3
- 238000007405 data analysis Methods 0.000 abstract description 3
- 238000001514 detection method Methods 0.000 abstract description 3
- 238000010586 diagram Methods 0.000 description 9
- 238000012545 processing Methods 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000003321 amplification Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007429 general method Methods 0.000 description 1
- 210000003127 knee Anatomy 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification Effects 0.000 description 1
- 238000003199 nucleic acid amplification method Methods 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
Images
Classifications
-
- 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]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a method and a device for calculating the SOC difference of a lithium ion battery module, which realize the following steps through computer equipment: acquiring monitoring data of two modules during charging of the lithium iron phosphate system battery pack, wherein the monitoring data comprises voltage and SOC values; intercepting charging data of 40% SOC-80% SOC; respectively fitting the intercepted data of the two modules through a sigmoid function; calculating SOC values corresponding to inflection points of the charging SOC voltage curves of the two modules according to the fitting parameters; and calculating the SOC difference value corresponding to the two inflection points, namely the SOC difference of the two modules. The invention provides a method for calculating the SOC difference of modules according to charging data aiming at the existing method for calculating the SOC difference of lithium iron phosphate system lithium ion battery modules, can realize reliable and rapid calculation of the SOC difference between the modules in a battery pack when the charging is finished, and can be applied to module consistency detection in a BMS or remote analysis and calculation in the monitoring of a power battery remote monitoring big data analysis platform.
Description
Technical Field
The invention relates to the technical field of vehicle power battery packs, in particular to a method and equipment for calculating an SOC difference of a lithium ion battery module.
Background
With the popularization of electric vehicles, the battery safety problem of the electric vehicles gets more and more attention. The power battery adopted by the electric automobile generally adopts a large number of single battery cores to be combined in a series-parallel connection mode so as to meet the requirements of capacity and voltage. When the battery runs, due to the production inconsistency of the single battery cells and the inconsistency of the use conditions, some single battery cells or parallel modules generate faults of undervoltage/low capacity/self-discharge amplification and the like when running, the SOC of the single battery cells or the modules is lower than that of other single battery cells or modules when the single battery cells or the modules run, so that the battery pack cannot exert due performance, the normal use of the battery pack is influenced, the voltage difference caused by the SOC difference is very small due to the voltage characteristic of lithium iron phosphate, and the SOC difference between the modules is difficult to calculate by adopting the traditional method.
Disclosure of Invention
The method and the device for calculating the SOC difference of the lithium ion battery modules are used for calculating the SOC difference between the modules according to the charging monitoring data of the battery pack, and can solve the technical problem.
In order to achieve the purpose, the invention adopts the following technical scheme:
a lithium ion battery module SOC difference calculation method comprises the following steps:
the method comprises the following steps:
acquiring monitoring data of two modules during charging of the lithium iron phosphate system battery pack, wherein the monitoring data comprises voltage and SOC values;
according to the characteristics of a charging curve of a lithium iron phosphate system battery, the inflection point position of the curve is positioned near 60% SOC, and the charging data of 40% SOC to 80% SOC is intercepted in consideration of the error of BMS SOC calculation;
respectively fitting the intercepted data of the two modules through a sigmoid function;
calculating SOC values corresponding to inflection points of the charging SOC voltage curves of the two modules according to the fitting parameters;
and calculating the SOC difference value corresponding to the two inflection points, namely the SOC difference of the two modules.
Further, the lithium iron phosphate system battery is a lithium ion battery of a lithium iron phosphate system.
Further, the fitting function is a sigmoid function, and specifically includes:
wherein v is a voltage value, s is an SOC value, and a, b, c and d are parameters to be fitted;
further, the SOC value calculation formula corresponding to the inflection point of the SOC-voltage curve is as follows:
wherein ScAnd the SOC value corresponding to the inflection point of the SOC-voltage curve.
In another aspect, the present invention also discloses a computer readable storage medium storing a computer program, which when executed by a processor causes the processor to perform the steps of the method as described above.
In a third aspect, the present invention also discloses a computer device comprising a memory and a processor, the memory storing a computer program, which, when executed by the processor, causes the processor to perform the steps of the method as described above.
According to the technical scheme, the method for calculating the SOC difference of the lithium ion battery module is provided according to the characteristic that a charging curve of a lithium ion battery with a lithium iron phosphate system in a 40-80% SOC section is similar to a sigmoid function, and the method for quickly calculating the SOC difference between the modules through a curve fitting method is provided. Specifically, the invention provides a method for calculating the SOC difference of a module according to charging data aiming at the existing SOC difference calculation method of a lithium iron phosphate system lithium ion battery module, which can realize reliable and rapid calculation of the SOC difference between modules in a battery pack when charging is finished, and can be applied to module consistency detection in a BMS or remote analysis and calculation in the monitoring of a power battery remote monitoring big data analysis platform.
Generally, since the general method for measuring the module SOC consistency difference is to perform the determination according to the voltage difference, the SOC difference cannot be directly obtained, and the determination can be performed only in the higher or lower SOC stage, the present invention can calculate the capacity or SOC difference between any modules in the battery pack according to the battery pack charging data, and can perform the calculation in the charging platform stage (intermediate SOC stage).
Drawings
FIG. 1 is a flow chart of a method of the present invention;
FIG. 2 is a SOC-voltage current sequence resulting from a two-module charging process according to an embodiment of the present invention;
FIG. 3 is a partial schematic view of the 40% SOC-80% of the truncated curve of an embodiment of the present invention;
FIG. 4 is a schematic view of a fitted curve of an embodiment of the invention;
fig. 5 is a schematic diagram of a knee point of a voltage curve of two modules of the charging SOC according to the embodiment of the invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention, and it is obvious that the described embodiments are some, but not all, embodiments of the present invention.
As shown in fig. 1, the method for calculating the SOC difference of the lithium ion battery module according to this embodiment includes the following steps implemented by a computer device:
acquiring monitoring data of two modules during charging of the lithium iron phosphate system battery pack, wherein the monitoring data comprises voltage and SOC values;
intercepting charging data of 40% SOC-80% SOC;
respectively fitting the intercepted data of the two modules through a sigmoid function;
calculating SOC values corresponding to inflection points of the charging SOC voltage curves of the two modules according to the fitting parameters;
and calculating the SOC difference value corresponding to the two inflection points, namely the SOC difference of the two modules.
Wherein, the fitting function is a sigmoid function, which specifically comprises the following steps:
wherein v is a voltage value, s is an SOC value, and a, b, c and d are parameters to be fitted.
Calculating SOC values corresponding to inflection points of charging SOC voltage curves of the two modules according to the fitting parameters, wherein the calculation formula is
Wherein ScThe values of the SOC and the b are obtained by fitting calculation.
The following is a detailed description:
this example provides a module SOC difference calculation method, taking SOC and voltage data of two modules as an example when a battery pack is charged at a certain time.
The calculation of the module SOC difference comprises the steps of:
1. acquiring a voltage value v and an SOC value s corresponding to two modules of a power battery pack at each moment during certain charging, and acquiring an SOC-voltage current sequence of the two modules in the charging process, as shown in FIG. 2;
2. according to the characteristics of a charging curve of a lithium iron phosphate system battery, the inflection point position of the curve is positioned near 60% of SOC, and the part of 40% SOC-80% of the curve is intercepted in consideration of the error of BMS SOC calculation, as shown in figure 3;
3. and respectively fitting the intercepted data of the two modules by the following functions:
wherein v is a voltage value, s is an SOC value, a, b, c and d are parameters to be fitted, and the fitting result is shown in FIG. 4;
solving the fitting parameters of the SOC-voltage curves of the two modules as follows:
module 1: a, b, c, d-0.23730361, 12.610446,0.04283811, 3.33481823;
module 2 a, b, c, d 0.319228,17.51430986,0.0396606, 3.32985568.
4. Calculating SOC values corresponding to inflection points of the charging SOC voltage curves of the two modules according to the fitting parameters; as shown in fig. 5;
module 1:
and (3) module 2:
5. calculating the SOC difference value corresponding to the two inflection points according to the calculation result in the step 4, namely the SOC difference of the two modules:
the SOC difference of the two modules is 54.86-53.14-1.72 (%).
In summary, the embodiment of the invention provides a method for calculating a module SOC difference according to charging data for an existing lithium iron phosphate system lithium ion battery module SOC difference calculation method, so that the SOC difference between modules inside a battery pack can be reliably and quickly calculated when charging is finished, and the method can be applied to module consistency detection in a BMS or remote analysis and calculation in a power battery remote monitoring big data analysis platform.
In another aspect, the present invention also discloses a computer readable storage medium storing a computer program, which when executed by a processor causes the processor to perform the steps of the method as described above.
In a third aspect, the present invention also discloses a computer device comprising a memory and a processor, the memory storing a computer program, which, when executed by the processor, causes the processor to perform the steps of the method as described above.
It is understood that the system provided by the embodiment of the present invention corresponds to the method provided by the embodiment of the present invention, and the explanation, the example and the beneficial effects of the related contents can refer to the corresponding parts in the method.
As will be appreciated by one skilled in the art, 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 flow diagrams and/or block diagrams, and combinations of flows and/or blocks in the flow diagrams 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.
The above examples are only intended to illustrate the technical solution of the present invention, but not to limit it; although the present invention has been described in detail with reference to the foregoing embodiments, it will be understood by those of ordinary skill in the art that: the technical solutions described in the foregoing embodiments may still be modified, or some technical features may be equivalently replaced; and such modifications or substitutions do not depart from the spirit and scope of the corresponding technical solutions of the embodiments of the present invention.
Claims (5)
1. A lithium ion battery module SOC difference calculation method is characterized in that: implementing, by a computer device, the steps of:
acquiring monitoring data of two modules during charging of the lithium iron phosphate system battery pack, wherein the monitoring data comprises voltage and SOC values;
intercepting charging data of 40% SOC-80% SOC;
respectively fitting the intercepted data of the two modules through a sigmoid function;
calculating SOC values corresponding to inflection points of the charging SOC voltage curves of the two modules according to the fitting parameters;
and calculating the SOC difference value corresponding to the two inflection points, namely the SOC difference of the two modules.
2. The lithium ion battery module SOC difference calculation method according to claim 1, characterized in that: the fitting function is a sigmoid function, and specifically comprises the following steps:
wherein v is a voltage value, s is an SOC value, and a, b, c and d are parameters to be fitted.
3. The lithium ion battery module SOC difference calculation method according to claim 2, characterized in that: and calculating SOC values corresponding to the inflection points of the charging SOC voltage curves of the two modules according to the fitting parameters, wherein the calculation formula is
Wherein ScThe values of the SOC and the b are obtained by fitting calculation.
4. A computer-readable storage medium, storing a computer program which, when executed by a processor, causes the processor to carry out the steps of the method according to any one of claims 1 to 3.
5. A computer device comprising a memory and a processor, the memory storing a computer program that, when executed by the processor, causes the processor to perform the steps of the method according to any one of claims 1 to 3.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110881405.0A CN113625176B (en) | 2021-08-02 | 2021-08-02 | Lithium ion battery module SOC difference calculation method and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110881405.0A CN113625176B (en) | 2021-08-02 | 2021-08-02 | Lithium ion battery module SOC difference calculation method and equipment |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113625176A true CN113625176A (en) | 2021-11-09 |
| CN113625176B CN113625176B (en) | 2024-02-09 |
Family
ID=78382287
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110881405.0A Active CN113625176B (en) | 2021-08-02 | 2021-08-02 | Lithium ion battery module SOC difference calculation method and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113625176B (en) |
Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1437031A (en) * | 2002-02-08 | 2003-08-20 | 上海华谊（集团）公司 | Battery capacity measuring method |
| JP2012122787A (en) * | 2010-11-17 | 2012-06-28 | Nissan Motor Co Ltd | Control device of battery pack |
| CN104535932A (en) * | 2014-12-20 | 2015-04-22 | 吉林大学 | Lithium ion battery charge state estimating method |
| CN106443453A (en) * | 2016-07-04 | 2017-02-22 | 陈逸涵 | Lithium battery SOC estimation method based on BP neural network |
| CN107329094A (en) * | 2017-08-23 | 2017-11-07 | 北京新能源汽车股份有限公司 | Electrokinetic cell health status evaluation method and device |
| CN107839500A (en) * | 2017-07-11 | 2018-03-27 | 苏州大学 | A kind of dynamic corrections SOC lithium battery group balance control method and system |
| CN109870655A (en) * | 2019-03-26 | 2019-06-11 | 上海工程技术大学 | A kind of evaluation method for lithium battery SOC |
| CN110031777A (en) * | 2019-04-29 | 2019-07-19 | 上海玫克生储能科技有限公司 | A method of quickly obtaining all single battery resistance values in battery pack |
| CN110031770A (en) * | 2019-04-29 | 2019-07-19 | 上海玫克生储能科技有限公司 | A method of quickly obtaining all cell capacities in battery pack |
| CN111239607A (en) * | 2019-10-16 | 2020-06-05 | 厦门金龙联合汽车工业有限公司 | Big data extraction and calculation method for imbalance degree of system capacity of lithium iron phosphate battery |
| CN111257755A (en) * | 2020-03-31 | 2020-06-09 | 上海玫克生储能科技有限公司 | Method for preventive detection and diagnosis of battery pack |
| CN111398833A (en) * | 2020-03-13 | 2020-07-10 | 浙江大学 | Battery health state evaluation method and evaluation system |
| CN111448468A (en) * | 2017-08-18 | 2020-07-24 | 罗伯特·博世有限公司 | Method, device and system for detecting consistency of battery pack |
| CN111693882A (en) * | 2020-06-30 | 2020-09-22 | 厦门金龙联合汽车工业有限公司 | Method for evaluating health state of battery replacement battery |
| CN112327174A (en) * | 2021-01-05 | 2021-02-05 | 江苏时代新能源科技有限公司 | SOC correction method and device of battery and battery management system |
| CN112433170A (en) * | 2020-10-13 | 2021-03-02 | 北京交通大学 | Method for identifying parameter difference of single batteries of series battery pack |
| CN112557905A (en) * | 2019-09-25 | 2021-03-26 | 比亚迪股份有限公司 | Battery pack, data processing method thereof, computer device, medium, and vehicle |
| CN112816891A (en) * | 2021-01-04 | 2021-05-18 | 上海理工大学 | Battery capacity and SOC estimation method based on monomer charging curve difference in battery pack |
| CN112883531A (en) * | 2019-11-29 | 2021-06-01 | 比亚迪股份有限公司 | Lithium ion battery data processing method, computer device and storage medium |
-
2021
- 2021-08-02 CN CN202110881405.0A patent/CN113625176B/en active Active
Patent Citations (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN1437031A (en) * | 2002-02-08 | 2003-08-20 | 上海华谊（集团）公司 | Battery capacity measuring method |
| JP2012122787A (en) * | 2010-11-17 | 2012-06-28 | Nissan Motor Co Ltd | Control device of battery pack |
| CN104535932A (en) * | 2014-12-20 | 2015-04-22 | 吉林大学 | Lithium ion battery charge state estimating method |
| CN106443453A (en) * | 2016-07-04 | 2017-02-22 | 陈逸涵 | Lithium battery SOC estimation method based on BP neural network |
| CN107839500A (en) * | 2017-07-11 | 2018-03-27 | 苏州大学 | A kind of dynamic corrections SOC lithium battery group balance control method and system |
| CN111448468A (en) * | 2017-08-18 | 2020-07-24 | 罗伯特·博世有限公司 | Method, device and system for detecting consistency of battery pack |
| CN107329094A (en) * | 2017-08-23 | 2017-11-07 | 北京新能源汽车股份有限公司 | Electrokinetic cell health status evaluation method and device |
| CN109870655A (en) * | 2019-03-26 | 2019-06-11 | 上海工程技术大学 | A kind of evaluation method for lithium battery SOC |
| CN110031777A (en) * | 2019-04-29 | 2019-07-19 | 上海玫克生储能科技有限公司 | A method of quickly obtaining all single battery resistance values in battery pack |
| CN110031770A (en) * | 2019-04-29 | 2019-07-19 | 上海玫克生储能科技有限公司 | A method of quickly obtaining all cell capacities in battery pack |
| CN112557905A (en) * | 2019-09-25 | 2021-03-26 | 比亚迪股份有限公司 | Battery pack, data processing method thereof, computer device, medium, and vehicle |
| CN111239607A (en) * | 2019-10-16 | 2020-06-05 | 厦门金龙联合汽车工业有限公司 | Big data extraction and calculation method for imbalance degree of system capacity of lithium iron phosphate battery |
| CN112883531A (en) * | 2019-11-29 | 2021-06-01 | 比亚迪股份有限公司 | Lithium ion battery data processing method, computer device and storage medium |
| CN111398833A (en) * | 2020-03-13 | 2020-07-10 | 浙江大学 | Battery health state evaluation method and evaluation system |
| CN111257755A (en) * | 2020-03-31 | 2020-06-09 | 上海玫克生储能科技有限公司 | Method for preventive detection and diagnosis of battery pack |
| CN111693882A (en) * | 2020-06-30 | 2020-09-22 | 厦门金龙联合汽车工业有限公司 | Method for evaluating health state of battery replacement battery |
| CN112433170A (en) * | 2020-10-13 | 2021-03-02 | 北京交通大学 | Method for identifying parameter difference of single batteries of series battery pack |
| CN112816891A (en) * | 2021-01-04 | 2021-05-18 | 上海理工大学 | Battery capacity and SOC estimation method based on monomer charging curve difference in battery pack |
| CN112327174A (en) * | 2021-01-05 | 2021-02-05 | 江苏时代新能源科技有限公司 | SOC correction method and device of battery and battery management system |
Non-Patent Citations (2)
| Title |
|---|
| 时玮;姜久春;李索宇;贾容达;: "磷酸铁锂电池SOC估算方法研究", 电子测量与仪器学报, no. 08 * |
| 王立强;王玮;王占国;张言茹;刘思佳;: "轨道交通用钛酸锂电池不一致性研究", 电源技术, no. 02 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113625176B (en) | 2024-02-09 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| Ning et al. | Adaptive sliding mode observers for lithium-ion battery state estimation based on parameters identified online | |
| CN110549876B (en) | Energy output control method and device and hydrogen fuel hybrid electric vehicle | |
| CN103901354A (en) | Methods for predicting SOC of vehicle-mounted power battery of electric automobile | |
| CN111426968B (en) | Method and system for estimating SOP of power battery of electric vehicle | |
| CN109946616B (en) | Method for estimating unbalance degree of system capacity of lithium iron phosphate battery | |
| US11614490B2 (en) | Method of estimating a charge state for a battery cell | |
| CN103887853A (en) | Balance control method of lithium-ion battery set | |
| US20130314042A1 (en) | Method for Ascertaining the Open Circuit Voltage of a Battery, Battery with a Module for Ascertaining the Open Circuit Voltage and a Motor Vehicle Having a Corresponding Battery | |
| CN112485685B (en) | Power bearing capacity parameter determining method and device and electronic equipment | |
| CN103534897A (en) | Battery control device | |
| CN105762869A (en) | Battery pack equalization control method and system | |
| CN113030758B (en) | Aging early warning method and system based on lithium ion battery capacity water jump point, automobile and computer storage medium | |
| CN104681851B (en) | A kind of vapour vehicle lithium-ion power battery method for group matching | |
| CN110661040A (en) | Sorting method and device for retired lithium iron phosphate power battery | |
| CN111301219A (en) | Electric vehicle battery control method, system, device and readable storage medium | |
| CN114624600A (en) | Power battery cell capacity difference calculation method and computer readable storage medium | |
| CN112946480B (en) | Lithium battery circuit model simplification method for improving SOC estimation real-time performance | |
| CN106597316B (en) | A kind of battery pack SOC calculation method | |
| Zhao et al. | Robust Online State of Charge Estimation of Lithium‐Ion Battery Pack Based on Error Sensitivity Analysis | |
| CN113533985B (en) | Identification method of battery pack internal resistance abnormal module and storage medium thereof | |
| CN113625176B (en) | Lithium ion battery module SOC difference calculation method and equipment | |
| US10023068B2 (en) | Systems and methods for battery usage regulation for battery life protection | |
| CN110661041A (en) | Method and device for diagnosing retired power battery | |
| CN114035052A (en) | SOC interval calibration method, system and medium based on energy window | |
| CN112578302A (en) | Echelon utilization power battery recombination method, system, equipment and storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |