CN113625176B - Lithium ion battery module SOC difference calculation method and equipment - Google Patents
Lithium ion battery module SOC difference calculation method and equipment Download PDFInfo
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- CN113625176B CN113625176B CN202110881405.0A CN202110881405A CN113625176B CN 113625176 B CN113625176 B CN 113625176B CN 202110881405 A CN202110881405 A CN 202110881405A CN 113625176 B CN113625176 B CN 113625176B
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- 238000004364 calculation method Methods 0.000 title claims abstract description 23
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 title claims abstract description 14
- 229910001416 lithium ion Inorganic materials 0.000 title claims abstract description 14
- 238000000034 method Methods 0.000 claims abstract description 29
- 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
- 238000012544 monitoring process Methods 0.000 claims abstract description 9
- 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 8
- 238000012545 processing Methods 0.000 description 4
- 238000004519 manufacturing process Methods 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 238000007429 general method Methods 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
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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]
- G01R31/382—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
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Abstract
The invention discloses a lithium ion battery module SOC difference calculation method and equipment, which are realized by computer equipment as follows: acquiring monitoring data of two modules, including voltage and SOC value, when the lithium iron phosphate system battery pack is charged; intercepting charging data from 40% SOC to 80% SOC; fitting intercepted data of the two modules through a sigmoid function respectively; calculating SOC values corresponding to curve inflection points of the charge SOC voltages of the two modules according to the fitting parameters; and calculating the SOC difference corresponding to the two inflection points to obtain the SOC difference of the two modules. Aiming at the existing method for calculating the SOC difference of the lithium ion battery module of the lithium iron phosphate system, the invention provides a method for calculating the SOC difference of the module according to charging data, which can realize reliable and rapid calculation of the SOC difference between the internal modules of the battery pack when the charging is finished, and can be applied to BMS for module consistency detection or remote analysis and calculation in a remote monitoring big data analysis platform of a power battery.
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, battery safety problems of electric vehicles are getting more and more attention. The power battery adopted by the electric automobile generally adopts a large number of single battery cells to be combined in a series-parallel connection mode so as to meet the capacity and voltage requirements. When the battery runs, due to the production inconsistency of single battery cells and the inconsistency of using conditions, faults such as under-voltage/low capacity/self-amplification and the like are generated by certain single battery cells or parallel modules when the battery runs, and the faults enable the single battery cells or the modules to have lower SOC than other single battery cells or modules when the battery runs, so that the battery pack cannot exert the due performance, normal use of the battery pack is affected, and due to the voltage characteristics of lithium iron phosphate, the voltage difference caused by the SOC difference is small, and the SOC difference between the modules is difficult to calculate by adopting a traditional method.
Disclosure of Invention
The method and the device for calculating the SOC difference of the lithium ion battery module are used for calculating the SOC difference between the modules according to the battery pack charging monitoring data, and can solve the technical problems.
In order to achieve the above purpose, the present 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, including voltage and SOC value, when the lithium iron phosphate system battery pack is charged;
according to the characteristic of a lithium iron phosphate system battery charging curve, the curve inflection point is positioned near 60% of the SOC, and charging data from 40% of the SOC to 80% of the SOC are intercepted in consideration of errors of BMS SOC calculation;
fitting intercepted data of the two modules through a sigmoid function respectively;
calculating SOC values corresponding to curve inflection points of the charge SOC voltages of the two modules according to the fitting parameters;
and calculating the SOC difference corresponding to the two inflection points to obtain 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, specifically:
wherein v is a voltage value, s is an SOC value, and a, b, c, d is a parameter to be fitted;
further, the calculation formula of the SOC value corresponding to the inflection point of the SOC-voltage curve is:
wherein S is c The SOC value corresponds to the inflection point of the SOC-voltage curve.
In another aspect, the 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 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 calculation method of the SOC difference of the lithium ion battery module is provided, and the calculation method of the SOC difference between the modules is quickly calculated by a curve fitting method according to the characteristic that the charging curve of the lithium ion battery with the lithium iron phosphate system in the 40-80% SOC section is similar to a sigmoid function. Specifically, the invention provides a method for calculating the SOC difference of the modules according to charging data aiming at the existing method for calculating the SOC difference of the lithium ion battery module of the lithium iron phosphate system, which can realize reliable and rapid calculation of the SOC difference between the internal modules of the battery pack when the charging is finished, and can be applied to BMS for module consistency detection or remote analysis and calculation in a remote monitoring big data analysis platform of a power battery.
In general, since the general method of poor SOC consistency of the meter module is to judge according to the voltage difference, the SOC difference cannot be directly obtained, and only the higher or lower SOC segment can be effectively judged, 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 calculate in the charging platform segment (middle SOC segment).
Drawings
FIG. 1 is a flow chart of the method of the present invention;
FIG. 2 is a SOC-voltage-current sequence for a two-module charging process according to an embodiment of the invention;
FIG. 3 is a partial schematic diagram of a 40% SOC-80% portion of a truncated curve of an embodiment of the invention;
FIG. 4 is a schematic representation of a fitted curve of an embodiment of the present invention;
fig. 5 is a schematic diagram of the inflection point of the voltage curve of the two module charge SOCs according to an embodiment of the present invention.
Detailed Description
For the purpose of making the objects, technical solutions and advantages of the embodiments of the present invention more apparent, the technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention, and it is apparent that the described embodiments are some embodiments of the present invention, but not all embodiments of the present invention.
As shown in fig. 1, the method for calculating SOC difference of a lithium ion battery module according to the present embodiment includes the following steps implemented by a computer device:
acquiring monitoring data of two modules, including voltage and SOC value, when the lithium iron phosphate system battery pack is charged;
intercepting charging data from 40% SOC to 80% SOC;
fitting intercepted data of the two modules through a sigmoid function respectively;
calculating SOC values corresponding to curve inflection points of the charge SOC voltages of the two modules according to the fitting parameters;
and calculating the SOC difference corresponding to the two inflection points to obtain the SOC difference of the two modules.
The fitting function is a sigmoid function, and specifically comprises the following steps:
where v is the voltage value, s is the SOC value, and a, b, c, d is the parameter to be fitted.
Wherein, the SOC values corresponding to the curve inflection points of the charge SOC voltages of the two modules are calculated according to the fitting parameters, and the calculation formula is that
Wherein S is c And (3) obtaining a and b values which are obtained by fitting calculation for SOC values corresponding to the inflection points of the SOC-voltage curves.
The following is a specific description:
the present example provides a method for calculating a module SOC difference, taking SOC and voltage data of two modules when a battery pack is charged for a certain time as an example.
The calculation of the module SOC difference comprises the following steps:
1. acquiring corresponding voltage values v and SOC values s of two modules of the power battery pack at each moment in a certain charging process to obtain an SOC-voltage-current sequence of the two modules in the charging process, as shown in FIG. 2;
2. according to the characteristic of a lithium iron phosphate system battery charging curve, the inflection point position of the curve is positioned near 60% SOC, and the 40% SOC-80% part of the curve is intercepted by taking the error of BMS SOC calculation into consideration, as shown in FIG. 3;
3. fitting the intercepted data of the two modules through the following functions:
wherein v is a voltage value, s is an SOC value, a, b, c, d is a parameter to be fitted, and the fitting result is shown in FIG. 4;
the SOC-voltage curve fitting parameters of the two modules are obtained as follows:
modules 1: a, b, c, d= 0.23730361,12.610446,0.04283811,3.33481823;
modules 2: a, b, c, d= 0.319228,17.51430986,0.0396606,3.32985568.
4. Calculating SOC values corresponding to curve inflection points of the charge SOC voltages of the two modules according to the fitting parameters; as shown in fig. 5;
module 1:
module 2:
5. and 4, calculating the SOC difference value corresponding to the two inflection points according to the calculation result in the step 4, namely obtaining the SOC difference of the two modules:
two-module SOC difference= 54.86-53.14 =1.72 (%).
In summary, the embodiment of the invention provides a method for calculating the SOC difference of a module according to charging data aiming at the existing method for calculating the SOC difference of a lithium ion battery module of a lithium iron phosphate system, 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 BMS for module consistency detection or remote analysis calculation for monitoring of a power battery remote monitoring big data analysis platform.
In another aspect, the 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 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 may be 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 explanation, examples and beneficial effects of the related content may refer to corresponding parts in the above method.
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.
The above embodiments are only for illustrating the technical solution of the present invention, and are not limiting; although the 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 scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present invention.
Claims (3)
1. A lithium ion battery module SOC difference calculation method is characterized in that: the following steps are realized by computer equipment:
acquiring monitoring data of two modules, including voltage and SOC value, when the lithium iron phosphate system battery pack is charged;
intercepting charging data of 40-80% SOC;
fitting intercepted data of the two modules through a sigmoid function respectively;
calculating SOC values corresponding to curve inflection points of the charge SOC voltages of the two modules according to the fitting parameters;
calculating the SOC difference corresponding to the two inflection points to obtain the SOC difference of the two modules;
the SOC values corresponding to the curve inflection points of the charge SOC voltages of the two modules are calculated according to the fitting parameters, wherein the calculation formula is as follows
Wherein the method comprises the steps ofThe SOC values corresponding to the inflection points of the SOC-voltage curves are obtained by fitting calculation, and the a and b values are obtained by fitting calculation;
the fitting function is a sigmoid function, specifically:
where v is the voltage value, s is the SOC value, and a, b, c, d is the parameter to be fitted.
2. 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 of claim 1.
3. 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 of claim 1.
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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 | Power battery state of health estimation 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 |
| 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 |
| 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 |
| 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 | Power battery state of health estimation 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 |
| 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 |
| 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 |
| 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 |
|---|
| 磷酸铁锂电池SOC估算方法研究;时玮;姜久春;李索宇;贾容达;;电子测量与仪器学报(第08期);全文 * |
| 轨道交通用钛酸锂电池不一致性研究;王立强;王玮;王占国;张言茹;刘思佳;;电源技术(第02期);全文 * |
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