CN113985287A - Battery cell safety identification method and device - Google Patents
Battery cell safety identification method and device Download PDFInfo
- Publication number
- CN113985287A CN113985287A CN202111216129.2A CN202111216129A CN113985287A CN 113985287 A CN113985287 A CN 113985287A CN 202111216129 A CN202111216129 A CN 202111216129A CN 113985287 A CN113985287 A CN 113985287A
- Authority
- CN
- China
- Prior art keywords
- battery
- cell
- string
- self
- battery pack
- 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.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 23
- 238000007599 discharging Methods 0.000 claims abstract description 13
- 239000000178 monomer Substances 0.000 claims abstract description 11
- 230000005856 abnormality Effects 0.000 claims abstract description 10
- 238000012935 Averaging Methods 0.000 claims abstract description 4
- 238000012545 processing Methods 0.000 claims description 6
- 230000002159 abnormal effect Effects 0.000 abstract description 11
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 2
- 238000004146 energy storage Methods 0.000 description 2
- 238000011156 evaluation Methods 0.000 description 2
- 229910001416 lithium ion Inorganic materials 0.000 description 2
- 238000004364 calculation method Methods 0.000 description 1
- 238000007796 conventional method Methods 0.000 description 1
- 230000006866 deterioration Effects 0.000 description 1
- 238000012986 modification Methods 0.000 description 1
- 230000004048 modification 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]
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
Abstract
The invention discloses a method and a device for identifying the safety of a battery cell, wherein the method comprises the following steps: recording the monomer voltages of all the battery cells in one battery pack under the condition that the battery pack is fully charged and after the charging or the discharging is stopped for more than two hours; after a preset time, recording the monomer voltages of all the battery cells again under the same working condition; calculating the voltage difference of the voltage of each string of the battery cells tested twice to obtain a voltage difference sequence of the battery pack single battery cells tested twice; averaging and standard deviation of all data in the pressure difference sequence, and respectively calculating the mean deviation of the pressure difference sequence; if the corresponding deviation average difference of a certain string of electric cores is a positive value and the absolute value is more than A times of standard deviation, the string of electric cores are processed if the self-discharge abnormality exists; the invention has the advantages that: the abnormity of the self-discharge of the battery cell is identified in advance, the normal battery cell and the abnormal self-discharge battery cell are accurately distinguished in a targeted manner, the risk of the battery pack is further identified in advance, and the occurrence of extreme accidents is avoided.
Description
Technical Field
The invention relates to the field of new energy storage systems, in particular to a method and a device for cell safety identification.
Background
Currently, lithium ion batteries are more and more widely applied in the field of energy storage, and particularly in the field of standby power, the usage amount of the lithium ion batteries is increased explosively, and accidents are frequent; battery safety has always been one of the focuses of concern in the new energy industry. The abnormal self-discharge of the battery core is easy to cause serious battery accidents such as internal short circuit and thermal runaway, and is one of the main factors influencing the safety of the battery, so that the abnormal self-discharge battery core is identified at an early stage, the extreme accidents can be prevented to a great extent, and great significance is brought to the improvement of the safety of the battery.
At present, in a battery pack (on a BMS) or on a battery management platform, cell consistency is only expressed by using a single cell voltage difference mode, for example, chinese patent publication No. CN108363011A discloses a method for evaluating cell consistency of a battery pack, when the voltage difference increases to a certain degree, the consistency is considered to be poor, and then the safety of the battery is judged to be reduced; however, this method has the following problems: as time goes on, the normal cell monomer also has a self-discharge phenomenon, and the pressure difference of the monomer in the battery pack is increased, so that the pressure difference of the monomer cannot be judged whether the cell is caused by normal use or self-discharge of the cell; secondly, the method cannot accurately identify all the abnormal self-discharge cells and accurately position the abnormal self-discharge cells; in addition, only if the differential pressure exceeds a certain threshold value, the battery pack is judged to be unsafe, and the deterioration condition of the self-discharge of the battery core cannot be identified in advance.
In summary, in the prior art, the safety of the battery is judged by the evaluation method of the consistency of the single body of the battery pack, the pertinence and the accuracy are poor, and the abnormal self-discharge battery cell cannot be identified in advance, so that the occurrence of extreme accidents cannot be avoided.
Disclosure of Invention
The invention aims to solve the technical problems that in the prior art, the safety of the battery is judged by an evaluation method of the consistency of a single body of a battery pack, the pertinence and the accuracy are poor, and an abnormal self-discharge battery cell cannot be identified in advance, so that the occurrence of extreme accidents cannot be avoided.
The invention solves the technical problems through the following technical means: a cell safety identification method comprises the following steps:
the method comprises the following steps: recording the monomer voltages of all the battery cells in one battery pack under the condition that the battery pack is fully charged and after the charging or the discharging is stopped for more than two hours;
step two: after a preset time, recording the monomer voltages of all the battery cells again under the same working condition;
step three: calculating the voltage difference of the voltage of each string of the battery cells tested twice to obtain a voltage difference sequence of the battery pack single battery cells tested twice;
step four: averaging and standard deviation of all data in the pressure difference sequence, and respectively calculating the mean deviation of the pressure difference sequence;
step five: and if the corresponding deviation average difference of a certain string of electric cores is a positive value and the absolute value is more than A times of standard deviation, the self-discharge abnormality of the string of electric cores is indicated, and the string of electric cores are processed.
According to the method, the self-discharge abnormity of the string of electric cores is judged if the corresponding deviation average difference of the certain string of electric cores is a positive value and the absolute value is larger than A times of standard difference, the string of electric cores is processed, the abnormity of the self-discharge of the electric cores is identified in advance, the normal electric cores and the abnormal self-discharge electric cores are accurately distinguished in a targeted manner, the risk of the battery pack is identified in advance, and the occurrence of extreme accidents is avoided.
Further, the method further comprises: and comparing the size of the deviation average difference of each battery cell according to the rule that the deviation average difference of the battery cell is in direct proportion to the self-discharge rate of the battery cell, and estimating the relative self-discharge rate of each battery cell.
Further, the preset time is one month.
Further, the same condition in the second step refers to the condition that the battery pack is fully charged, and the charging or discharging is stopped for more than two hours.
Further, the value range of A is 2-4.
The invention also provides a battery cell safety identification device, which comprises:
the first cell voltage acquisition module is used for recording the cell voltages of all the battery cells in one battery pack under the condition that the battery pack is fully charged and the charging or discharging is stopped for more than two hours;
the second cell voltage acquisition module is used for recording the cell voltages of all the battery cells again under the same working condition after a preset time;
the voltage difference sequence acquisition module is used for calculating the voltage difference of the voltage of each string of battery cells tested twice to obtain the voltage difference sequence of the battery pack single battery cells tested twice;
the data processing module is used for calculating the average value and the standard deviation of each data in the pressure difference sequence and respectively calculating the mean deviation of the pressure difference sequence;
and the abnormality judgment module is used for processing the string of electric cores if the corresponding deviation average of the certain string of electric cores is a positive value and the absolute value is more than A times of standard deviation, which indicates that the string of electric cores have self-discharge abnormality.
Further, the apparatus is further configured to: and comparing the size of the deviation average difference of each battery cell according to the rule that the deviation average difference of the battery cell is in direct proportion to the self-discharge rate of the battery cell, and estimating the relative self-discharge rate of each battery cell.
Further, the preset time is one month.
Further, the same working condition in the second cell voltage acquisition module refers to the condition that the battery pack is fully charged, and the charging or discharging is stopped for more than two hours.
Further, the value range of A is 2-4.
The invention has the advantages that:
(1) according to the method, the self-discharge abnormity of the string of electric cores is judged if the corresponding deviation average difference of the certain string of electric cores is a positive value and the absolute value is larger than A times of standard difference, the string of electric cores is processed, the abnormity of the self-discharge of the electric cores is identified in advance, the normal electric cores and the abnormal self-discharge electric cores are accurately distinguished in a targeted manner, the risk of the battery pack is identified in advance, and the occurrence of extreme accidents is avoided.
(2) According to the rule that the deviation average difference of the battery cell is in direct proportion to the self-discharge rate of the battery cell, the deviation average difference of each battery cell is compared, the relative self-discharge rate of each battery cell is estimated, the self-discharge abnormity of the battery cell is identified in advance, and the normal battery cell and the abnormal self-discharge battery cell are accurately distinguished.
Drawings
Fig. 1 is a flowchart of a method for identifying battery cell safety disclosed in the embodiment of the present 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 embodiments of the present invention, and it is obvious that the described embodiments are some embodiments of the present invention, but not all embodiments. All other embodiments, which can be derived by a person skilled in the art from the embodiments given herein without making any creative effort, shall fall within the protection scope of the present invention.
As shown in fig. 1, a method for cell security identification includes the following steps:
s1: recording the monomer voltages of all the battery cells in one battery pack under the condition that the battery pack is fully charged and after the charging or the discharging is stopped for more than two hours;
s2: after a preset time, recording the monomer voltages of all the battery cells again under the same working condition; in this embodiment, the preset time is one month. The same condition refers to a situation where the battery pack is fully charged and the charging or discharging is stopped for more than two hours.
S3: calculating the voltage difference of the voltage of each string of the battery cells tested twice to obtain a voltage difference sequence of the battery pack single battery cells tested twice;
s4: averaging and standard deviation of all data in the pressure difference sequence, and respectively calculating the mean deviation of the pressure difference sequence; and comparing the size of the deviation average difference of each battery cell according to the rule that the deviation average difference of the battery cell is in direct proportion to the self-discharge rate of the battery cell, and estimating the relative self-discharge rate of each battery cell. The calculation methods of the average value, the standard deviation and the deviation average deviation are all conventional techniques, and are not described herein.
S5: and if the corresponding deviation average difference of a certain string of electric cores is a positive value and the absolute value is more than A times of standard deviation, the self-discharge abnormality of the string of electric cores is indicated, and the string of electric cores are processed. The value range of A is 2-4.
Through the technical scheme, the method judges that the corresponding deviation average difference of a certain string of electric cores is a positive value, and the absolute value is larger than A times of standard deviation, judges that the string of electric cores has self-discharge abnormity, processes the string of electric cores, identifies the abnormity of the self-discharge of the electric cores in advance, accurately distinguishes the normal electric cores and the abnormal self-discharge electric cores in a targeted manner, further identifies the risk of the battery pack in advance, and avoids the occurrence of extreme accidents.
Example 2
Based on embodiment 1, embodiment 2 of the present invention further provides a device for identifying electrical core safety, where the device includes:
the first cell voltage acquisition module is used for recording the cell voltages of all the battery cells in one battery pack under the condition that the battery pack is fully charged and the charging or discharging is stopped for more than two hours;
the second cell voltage acquisition module is used for recording the cell voltages of all the battery cells again under the same working condition after a preset time;
the voltage difference sequence acquisition module is used for calculating the voltage difference of the voltage of each string of battery cells tested twice to obtain the voltage difference sequence of the battery pack single battery cells tested twice;
the data processing module is used for calculating the average value and the standard deviation of each data in the pressure difference sequence and respectively calculating the mean deviation of the pressure difference sequence;
and the abnormality judgment module is used for processing the string of electric cores if the corresponding deviation average of the certain string of electric cores is a positive value and the absolute value is more than A times of standard deviation, which indicates that the string of electric cores have self-discharge abnormality.
Specifically, the apparatus is further configured to: and comparing the size of the deviation average difference of each battery cell according to the rule that the deviation average difference of the battery cell is in direct proportion to the self-discharge rate of the battery cell, and estimating the relative self-discharge rate of each battery cell.
Specifically, the preset time is one month.
Specifically, the same working condition in the second cell voltage acquisition module refers to that the battery pack is fully charged and stops charging or discharging for more than two hours.
Specifically, the value range of A is 2-4.
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 (10)
1. A cell safety identification method is characterized by comprising the following steps:
the method comprises the following steps: recording the monomer voltages of all the battery cells in one battery pack under the condition that the battery pack is fully charged and after the charging or the discharging is stopped for more than two hours;
step two: after a preset time, recording the monomer voltages of all the battery cells again under the same working condition;
step three: calculating the voltage difference of the voltage of each string of the battery cells tested twice to obtain a voltage difference sequence of the battery pack single battery cells tested twice;
step four: averaging and standard deviation of all data in the pressure difference sequence, and respectively calculating the mean deviation of the pressure difference sequence;
step five: and if the corresponding deviation average difference of a certain string of electric cores is a positive value and the absolute value is more than A times of standard deviation, the self-discharge abnormality of the string of electric cores is indicated, and the string of electric cores are processed.
2. The cell security identification method according to claim 1, further comprising: and comparing the size of the deviation average difference of each battery cell according to the rule that the deviation average difference of the battery cell is in direct proportion to the self-discharge rate of the battery cell, and estimating the relative self-discharge rate of each battery cell.
3. The method according to claim 1, wherein the preset time is one month.
4. The method according to claim 1, wherein the same condition in the second step refers to a situation where the battery pack is fully charged and the charging or discharging is stopped for more than two hours.
5. The method according to claim 1, wherein a value of a is in a range of 2 to 4.
6. A cell security identification device, the device comprising:
the first cell voltage acquisition module is used for recording the cell voltages of all the battery cells in one battery pack under the condition that the battery pack is fully charged and the charging or discharging is stopped for more than two hours;
the second cell voltage acquisition module is used for recording the cell voltages of all the battery cells again under the same working condition after a preset time;
the voltage difference sequence acquisition module is used for calculating the voltage difference of the voltage of each string of battery cells tested twice to obtain the voltage difference sequence of the battery pack single battery cells tested twice;
the data processing module is used for calculating the average value and the standard deviation of each data in the pressure difference sequence and respectively calculating the mean deviation of the pressure difference sequence;
and the abnormality judgment module is used for processing the string of electric cores if the corresponding deviation average of the certain string of electric cores is a positive value and the absolute value is more than A times of standard deviation, which indicates that the string of electric cores have self-discharge abnormality.
7. The cell safety identification device according to claim 6, wherein the device is further configured to: and comparing the size of the deviation average difference of each battery cell according to the rule that the deviation average difference of the battery cell is in direct proportion to the self-discharge rate of the battery cell, and estimating the relative self-discharge rate of each battery cell.
8. The battery cell safety identification device according to claim 6, wherein the preset time is one month.
9. The battery cell safety identification device according to claim 6, wherein the same operating condition in the second cell voltage obtaining module refers to a condition that the battery pack is fully charged, and charging or discharging is stopped for more than two hours.
10. The electric core safety recognition device of claim 6, wherein a is in a range of 2 to 4.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111216129.2A CN113985287A (en) | 2021-10-19 | 2021-10-19 | Battery cell safety identification method and device |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202111216129.2A CN113985287A (en) | 2021-10-19 | 2021-10-19 | Battery cell safety identification method and device |
Publications (1)
Publication Number | Publication Date |
---|---|
CN113985287A true CN113985287A (en) | 2022-01-28 |
Family
ID=79739364
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202111216129.2A Pending CN113985287A (en) | 2021-10-19 | 2021-10-19 | Battery cell safety identification method and device |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN113985287A (en) |
Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN103487758A (en) * | 2013-09-16 | 2014-01-01 | 向勇 | Lithium ion battery matching method |
WO2014173290A1 (en) * | 2013-04-22 | 2014-10-30 | 苏州宝时得电动工具有限公司 | Automatic walking device and method for determining working area thereof |
JP2015183682A (en) * | 2014-03-26 | 2015-10-22 | 株式会社デンソー | Discharge control device and reductant addition device |
CN108196204A (en) * | 2018-03-08 | 2018-06-22 | 珠海格力电器股份有限公司 | A kind of method and test device of quick detection lithium ion battery self discharge consistency |
CN108363011A (en) * | 2018-01-16 | 2018-08-03 | 北京智行鸿远汽车有限公司 | A kind of evaluation method of battery pack monomer consistency |
CN108508365A (en) * | 2017-04-16 | 2018-09-07 | 万向二三股份公司 | A kind of lithium ion battery self discharge screening technique |
CN111239633A (en) * | 2020-02-26 | 2020-06-05 | 广州鹏辉能源科技股份有限公司 | Battery pack pressure difference reason analysis method and device and computer equipment |
JP2020141522A (en) * | 2019-02-28 | 2020-09-03 | 株式会社デンソー | Abnormality diagnostic apparatus of power unit |
CN111913113A (en) * | 2020-07-14 | 2020-11-10 | 蜂巢能源科技有限公司 | Method and device for identifying short circuit in electric core, storage medium and electronic equipment |
CN112119318A (en) * | 2019-10-09 | 2020-12-22 | 深圳市大疆创新科技有限公司 | Battery detection method, battery, electronic device and storage medium |
CN113219361A (en) * | 2021-03-16 | 2021-08-06 | 上海派能能源科技股份有限公司 | Lithium ion battery pack abnormal self-discharge diagnosis method and system based on time-sharing regression distribution |
CN113406515A (en) * | 2021-06-18 | 2021-09-17 | 东莞新能安科技有限公司 | Battery cell detection method and device |
CN113442787A (en) * | 2021-05-28 | 2021-09-28 | 上海科列新能源技术有限公司 | Abnormal single cell identification method and device, electronic equipment and storage medium |
-
2021
- 2021-10-19 CN CN202111216129.2A patent/CN113985287A/en active Pending
Patent Citations (13)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2014173290A1 (en) * | 2013-04-22 | 2014-10-30 | 苏州宝时得电动工具有限公司 | Automatic walking device and method for determining working area thereof |
CN103487758A (en) * | 2013-09-16 | 2014-01-01 | 向勇 | Lithium ion battery matching method |
JP2015183682A (en) * | 2014-03-26 | 2015-10-22 | 株式会社デンソー | Discharge control device and reductant addition device |
CN108508365A (en) * | 2017-04-16 | 2018-09-07 | 万向二三股份公司 | A kind of lithium ion battery self discharge screening technique |
CN108363011A (en) * | 2018-01-16 | 2018-08-03 | 北京智行鸿远汽车有限公司 | A kind of evaluation method of battery pack monomer consistency |
CN108196204A (en) * | 2018-03-08 | 2018-06-22 | 珠海格力电器股份有限公司 | A kind of method and test device of quick detection lithium ion battery self discharge consistency |
JP2020141522A (en) * | 2019-02-28 | 2020-09-03 | 株式会社デンソー | Abnormality diagnostic apparatus of power unit |
CN112119318A (en) * | 2019-10-09 | 2020-12-22 | 深圳市大疆创新科技有限公司 | Battery detection method, battery, electronic device and storage medium |
CN111239633A (en) * | 2020-02-26 | 2020-06-05 | 广州鹏辉能源科技股份有限公司 | Battery pack pressure difference reason analysis method and device and computer equipment |
CN111913113A (en) * | 2020-07-14 | 2020-11-10 | 蜂巢能源科技有限公司 | Method and device for identifying short circuit in electric core, storage medium and electronic equipment |
CN113219361A (en) * | 2021-03-16 | 2021-08-06 | 上海派能能源科技股份有限公司 | Lithium ion battery pack abnormal self-discharge diagnosis method and system based on time-sharing regression distribution |
CN113442787A (en) * | 2021-05-28 | 2021-09-28 | 上海科列新能源技术有限公司 | Abnormal single cell identification method and device, electronic equipment and storage medium |
CN113406515A (en) * | 2021-06-18 | 2021-09-17 | 东莞新能安科技有限公司 | Battery cell detection method and device |
Non-Patent Citations (3)
Title |
---|
徐文娟;张岩;刘露露;李严;: "磷酸铁锂电池自放电检测工艺研究", 河南科技, no. 07, 5 April 2016 (2016-04-05), pages 131 - 133 * |
景军;蒋典兵;张庆祥;: "电池电芯质量检验的研究", 自动化与仪表, no. 04, 15 April 2019 (2019-04-15), pages 59 - 61 * |
陈永胜;孙焕丽;毛俊;: "动力电池性能异常衰减的原因及机理分析", 电源技术, no. 04, 20 April 2019 (2019-04-20), pages 120 - 123 * |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
US8629656B2 (en) | Battery pack and control method therefor | |
US8049465B2 (en) | Systems, methods and circuits for determining micro-short | |
EP4130767A1 (en) | Lithium plating detection method and apparatus, and polarization proportion acquisition method and apparatus | |
CN110764015A (en) | Battery control apparatus and method for detecting internal short circuit of battery | |
CN113219361B (en) | Abnormal self-discharge diagnosis method and system for lithium ion battery pack | |
US20200064411A1 (en) | Mobile platform, computer readable storage medium, battery and control method and system thereof | |
US10564223B2 (en) | Power storage system, control system of secondary battery, and control method of secondary battery | |
CN113625181B (en) | Battery system performance detection method in battery replacement station, electronic equipment and storage medium | |
CN112740504A (en) | Detection of abnormal self-discharge of lithium ion battery cells and battery system | |
CN112467822A (en) | Battery management method, device and system | |
CN110888074B (en) | Voltage determination method and device for SOC initial value calculation | |
CN113687234A (en) | Battery abnormality recognition method, apparatus, device, medium, and program product | |
JP2023101508A (en) | Control device and method for lithium-ion secondary battery | |
CN111983465A (en) | Electric vehicle charging safety protection method based on residual electric quantity estimation | |
CN109061512B (en) | Method for judging battery fault through remote monitoring data | |
CN109092717B (en) | Method for judging fault module of power battery pack | |
CN108134417B (en) | Method for balancing energy of each single battery cell in battery | |
CN113341329A (en) | Method and system for determining lithium separation of battery cell through voltage relaxation | |
CN111953033B (en) | Flexible charging control method | |
JP2022551451A (en) | Apparatus and method for diagnosing batteries | |
CN113985287A (en) | Battery cell safety identification method and device | |
CN116381544A (en) | Method and device for detecting battery self-discharge abnormality, electronic equipment and storage medium | |
CN114035061B (en) | On-line estimation method and system for battery state of health of battery pack | |
CN113419185B (en) | Method and system for detecting monomer capacity of lithium ion power storage battery | |
CN115020850A (en) | Battery safety detection method and device and battery management system |
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 |