CN102565718A - Method for judging state of charge (SOC) of lithium battery based on rising and dropping of open-circuit voltage - Google Patents

Method for judging state of charge (SOC) of lithium battery based on rising and dropping of open-circuit voltage Download PDF

Info

Publication number
CN102565718A
CN102565718A CN2012100157884A CN201210015788A CN102565718A CN 102565718 A CN102565718 A CN 102565718A CN 2012100157884 A CN2012100157884 A CN 2012100157884A CN 201210015788 A CN201210015788 A CN 201210015788A CN 102565718 A CN102565718 A CN 102565718A
Authority
CN
China
Prior art keywords
soc
circuit voltage
open
short
term
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
Application number
CN2012100157884A
Other languages
Chinese (zh)
Other versions
CN102565718B (en
Inventor
郑益
王浩
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Hangzhou Gold Electronic Equipment Co Ltd
Original Assignee
HANGZHOU GAOTE ELECTRONIC EQUIPMENT CO Ltd
Priority date (The priority date 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 date listed.)
Filing date
Publication date
Application filed by HANGZHOU GAOTE ELECTRONIC EQUIPMENT CO Ltd filed Critical HANGZHOU GAOTE ELECTRONIC EQUIPMENT CO Ltd
Priority to CN201210015788.4A priority Critical patent/CN102565718B/en
Publication of CN102565718A publication Critical patent/CN102565718A/en
Application granted granted Critical
Publication of CN102565718B publication Critical patent/CN102565718B/en
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Landscapes

  • Secondary Cells (AREA)

Abstract

The invention relates to a method for judging a state of charge (SOC) of a lithium battery based on rising and dropping of open-circuit voltage. The method comprises the following steps of: (1) building a charging reference curve and a discharging reference curve of the lithium battery; (2) building short-time change characteristics of rising and dropping of the open-circuit voltage under different SOCs; (3) building a corresponding relation between an Euclidean distance and the SOC according to SOC-Euclidean distance data in the step (2); and (4) obtaining the Euclidean distance between the lithium battery and the charging reference curve or the Euclidean distance between the lithium battery and the discharging reference curve, and obtaining the SOC of the current lithium battery according to the corresponding relation in the step (3). The SOC of the battery is judged according to the short-time change of rising or dropping of the open-circuit voltage after the battery is charged or discharged, and the SOC is not required to be calculated after the open-circuit voltage is stabilized, so that the SOC of the battery can be effectively judged easily within short time.

Description

The lithium battery SOC determination methods that rise descends based on open-circuit voltage
Technical field
The present invention relates to the SOC determination methods in a kind of lithium battery use, especially a kind of lithium battery SOC determination methods of ging up to descend based on open-circuit voltage.
Background technology
Advantages such as lithium ion battery has WV and specific energy density is high, cyclicity is good, memory-less effect are widely used in the portable unit energy-storage battery, and are having a high potential aspect the new-energy automobile electrokinetic cell.The former mainly comprises 3C Product, i.e. computing machine, communication and consumption electronic product.Electrokinetic cell comprises electric bicycle and fields such as new-energy automobile and electric tool.Along with the further raising of lithium battery cost performance, will extend future to large solar system, peak load regulation network, household's electric power storage facility aspect.The accumulator state-of-charge is an important index in the battery use, and promptly the ratio of the actual electric weight that can provide and the electric weight that should be able to provide of charging fully under the current state is represented with SOC, can know the residual capacity of battery.
Now the battery detection equipment on the market generally has only the demonstration of whole Battery pack SOC, and few part has displaying monomer battery SOC information.Computing method mainly contain open-circuit voltage method, ampere-hour integral method etc., estimate through open-circuit voltage and use behind the initial SOC ampere-hour integral method to calculate SOC.But after battery needed one period long period, its open-circuit voltage was just really stable, just can reflect the SOC of battery; Use does not have stable open-circuit voltage to calculate SOC will produce deviation, can't reflect the SOC of battery.
Summary of the invention
Technical matters to be solved by this invention provides a kind of lithium battery SOC determination methods of ging up to descend based on open-circuit voltage; Battery SOC is judged in the variation in short-term that utilizes battery discharge or charging back open-circuit voltage to go up or descend; Need not to carry out SOC after open-circuit voltage is stablized by the time and calculate the SOC situation of accomplishing simple and effective at short notice judgement battery.
For addressing the above problem, technical scheme of the present invention is:
A kind of lithium battery SOC determination methods of ging up to descend based on open-circuit voltage comprises the steps:
(1) sets up lithium cell charging datum curve and discharge datum curve; The charging datum curve is meant that lithium cell charging is the change curve in short-term that 1 back open-circuit voltage descends in time to SOC, and the discharge datum curve is meant that it is the change curve in short-term that 0 back open-circuit voltage gos up in time that lithium battery is discharged to SOC;
(2) set up the variation characteristic in short-term that open-circuit voltage gos up and descends under the different SOC: calculating charges to the Euclidean distance of the change curve in short-term and the charging datum curve of open-circuit voltage decline under the different SOC, calculates the Euclidean distance of the change curve in short-term that is discharged to open-circuit voltage rise under the different SOC and the datum curve that discharges;
(3) based on the SOC-Euclidean distance data of step (2) and set up the corresponding relation of Euclidean distance and SOC;
(4) change curve in short-term that is descended in time by lithium cell charging open-circuit voltage to the current SOC obtains itself and the Euclidean distance of charging datum curve; Or be discharged to open-circuit voltage gos up in time behind the current SOC change curve in short-term by lithium battery and obtain itself and the Euclidean distance of discharge datum curve, obtain the SOC of current lithium battery according to the corresponding relation of step (3).
Preferably, described Euclidean distance computing formula is following:
L { V ( t j ) , U ( t j ) } = 1 m Σ j = 1 m [ V ( t j ) - U ( t j ) ] 2
U (t j): being discharged to SOC and being the change curve in short-term that 0 back open-circuit voltage gos up or charging to SOC is the change curve in short-term that 1 back open-circuit voltage descends;
V (t j): the change curve in short-term that change curve in short-term that discharge back open-circuit voltage gos up or charging back open-circuit voltage descend;
t jThe time that expression curve j is ordered, 1≤j≤m, and be positive integer; M representes that curve data counts, m>=2, and be positive integer.
Preferably, adopt the SOC-Euclidean distance data of step (2) to carry out least square fitting in the step (3), Euclidean distance is provided the SOC value of battery as the input of fitting function under the current SOC of the middle employing of step (4) by the fitting function computing.
Preferably, adopt the SOC-Euclidean distance data training of human artificial neural networks of step (2) in the step (3), Euclidean distance is provided the SOC value of battery as the input of artificial neural network under the current SOC of the middle employing of step (4) by the artificial neural network computing.
Preferably, described change curve in short-term is meant the change curve that the change curve that charging back open-circuit voltage descended 3～20 minutes or the back open-circuit voltage that discharges rose 3～20 minutes.
The invention provides a kind of lithium battery SOC determination methods of ging up to descend based on open-circuit voltage; Battery SOC is judged in the variation in short-term that utilizes battery discharge or charging back open-circuit voltage to go up or descend; Need not to carry out SOC after open-circuit voltage is stablized by the time and calculate the SOC situation of accomplishing simple and effective at short notice judgement battery.
Description of drawings
Fig. 1 is the change curve that is discharged to open-circuit voltage behind the different SOC.
Fig. 2 is the change curve that charges to open-circuit voltage behind the different SOC.
Embodiment
Below in conjunction with specific embodiment the present invention is done explanation in further detail, but protection scope of the present invention is not limited to this.
Embodiment 1:
Battery SOC is judged in the variation in short-term that a kind of lithium battery SOC determination methods of ging up to descend based on open-circuit voltage, said lithium battery SOC determination methods are utilized battery discharge or the back open-circuit voltage that charges gos up or descend.SOC-Euclidean distance data are carried out least square fitting, adopt that Euclidean distance is provided the SOC value of battery as the input of fitting function under the current SOC by the fitting function computing.
Concrete steps are following:
1. different SOC are chosen for 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% respectively; Set up the change curve in short-term (referring to Fig. 1) that open-circuit voltage gos up under the different SOC in discharge back; The described duration that changes in short-term is 10 minutes; It is 10 that image data is counted, and each minute gathered data.
2. calculate the change curve in short-term that open-circuit voltage gos up under the different SOC in back that discharge and be discharged to the Euclidean distance that SOC is the change curve in short-term of 0 back open-circuit voltage rise.
Described Euclidean distance formula is following:
L { V ( t j ) , U ( t j ) } = 1 m Σ j = 1 m [ V ( t j ) - U ( t j ) ] 2
U (t j): being discharged to SOC is the change curve in short-term that 0 back open-circuit voltage gos up;
V (t j): the change curve in short-term that discharge back open-circuit voltage gos up;
t j: the time that curve j is ordered, 1≤j≤10, and be positive integer; M: curve data is counted, m=10.
3. through above-mentioned data sample, obtained SOC=(0%, 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90%), pairing Euclidean distance L=(0,0.32,0.45,0.55,0.63,0.71,0.77,0.84,0.90,0.95).Use least square fitting to run variation characteristic in short-term that road voltage gos up and the corresponding curve of SOC jointly, (98.9552 * L * L+0.6536 * L-0.1218)/100 equals 0 when SOC＜0 to obtain the function of SOC and L: SOC=; When SOC＞1, equal 1; Decimal place keeps two.
4. the SOC in the lithium battery use judges
After certain discharge, its open-circuit voltage rise curve and SOC are that the Euclidean distance of 0 o'clock open-circuit voltage rise curve is calculated as 0.92, import the calculating of above-mentioned formula, obtain SOC=0.84, promptly 84%.
Embodiment 2:
A kind of lithium battery SOC determination methods of ging up to descend based on open-circuit voltage; Said lithium battery SOC determination methods utilizes battery discharge or charging back open-circuit voltage gos up or battery SOC is judged in the variation in short-term of decline; The characteristic that changes in short-term of calculating the open-circuit voltage rise or descending is provided the performance evaluation result of battery as the input of artificial neural network through computing by artificial neural network.
Concrete steps are following:
1. different SOC are chosen for 10%, 20%, 30%, 40%, 50%, 60%, 70%, 80%, 90% respectively; Foundation charges to the change curve in short-term (referring to Fig. 2) that open-circuit voltage descends under the different SOC; The described duration that changes in short-term is 10 minutes; It is 10 that image data is counted, and each minute gathered data.
2. calculate the change curve in short-term that open-circuit voltage descends under the different SOC in back that charge and charge to the Euclidean distance that SOC is the change curve in short-term of 1 back open-circuit voltage decline.
Described Euclidean distance computing formula is following:
L { V ( t j ) , U ( t j ) } = 1 m Σ j = 1 m [ V ( t j ) - U ( t j ) ] 2
U (t j): charging to SOC is the change curve in short-term that 1 back open-circuit voltage descends;
V (t j): the change curve in short-term that charging back open-circuit voltage descends;
t j: the time that curve j is ordered, 1≤j≤10, and be positive integer; M: curve data is counted, m=10.
3. the Euclidean distance that descends through the different SOC open-circuit voltage corresponding with it, end user's artificial neural networks makes up the SOC function.(can with reference to " Matlab neural network and application " the 4th chapter BP network).
4. the SOC in the lithium battery use judges
Calculate the change curve in short-term of the back open-circuit voltage decline of charging and charge to the Euclidean distance that SOC is the change curve in short-term of 1 back open-circuit voltage decline; Its input through the constructed SOC function of the 3rd step end user's artificial neural networks, can be obtained the lithium battery SOC of this moment.

Claims (5)

1. a lithium battery SOC determination methods of ging up to descend based on open-circuit voltage is characterized in that comprising the steps:
(1) sets up lithium cell charging datum curve and discharge datum curve; The charging datum curve is meant that lithium cell charging is the change curve in short-term that 1 back open-circuit voltage descends in time to SOC, and the discharge datum curve is meant that it is the change curve in short-term that 0 back open-circuit voltage gos up in time that lithium battery is discharged to SOC;
(2) set up the variation characteristic in short-term that open-circuit voltage gos up and descends under the different SOC: calculating charges to the change curve in short-term of open-circuit voltage decline under the different SOC and the Euclidean distance of charging datum curve, calculates the Euclidean distance of the change curve in short-term that is discharged to open-circuit voltage rise under the different SOC and the datum curve that discharges;
(3) based on the SOC-Euclidean distance data of step (2) and set up the corresponding relation of Euclidean distance and SOC;
(4) change curve in short-term that is descended in time by lithium cell charging open-circuit voltage to the current SOC obtains itself and the Euclidean distance of charging datum curve; Or be discharged to open-circuit voltage gos up in time behind the current SOC change curve in short-term by lithium battery and obtain itself and the Euclidean distance of discharge datum curve, obtain the SOC of current lithium battery according to the corresponding relation of step (3).
2. a kind of lithium battery SOC determination methods of ging up to descend according to claim 1 based on open-circuit voltage, it is characterized in that: described Euclidean distance computing formula is following:
L { V ( t j ) , U ( t j ) } = 1 m Σ j = 1 m [ V ( t j ) - U ( t j ) ] 2
U (t j): being discharged to SOC and being the change curve in short-term that 0 back open-circuit voltage gos up or charging to SOC is the change curve in short-term that 1 back open-circuit voltage descends;
V i(t j): the change curve in short-term that change curve in short-term that discharge back open-circuit voltage gos up or charging back open-circuit voltage descend;
t jThe time that expression curve j is ordered, 1≤j≤m, and be positive integer; M representes that curve data counts, m>=2, and be positive integer.
3. a kind of lithium battery SOC determination methods of ging up to descend according to claim 1 based on open-circuit voltage; It is characterized in that: adopt the SOC-Euclidean distance data of step (2) to carry out least square fitting in the step (3); Euclidean distance is provided the SOC value of battery as the input of fitting function under the current SOC of the middle employing of step (4) by the fitting function computing.
4. a kind of lithium battery SOC determination methods of ging up to descend according to claim 1 based on open-circuit voltage; It is characterized in that: the SOC-Euclidean distance data training of human artificial neural networks that adopts step (2) in the step (3); Euclidean distance is provided the SOC value of battery as the input of artificial neural network under the current SOC of the middle employing of step (4) by the artificial neural network computing.
5. according to the described a kind of lithium battery SOC determination methods of ging up to descend based on open-circuit voltage of one of claim 1～4, it is characterized in that: described change curve in short-term is meant the change curve that charging back 3～20 minutes change curve of open-circuit voltage decline or discharge back open-circuit voltage rose 3～20 minutes.
CN201210015788.4A 2012-01-18 2012-01-18 Based on the lithium battery SOC determination methods that open-circuit voltage rise declines Active CN102565718B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210015788.4A CN102565718B (en) 2012-01-18 2012-01-18 Based on the lithium battery SOC determination methods that open-circuit voltage rise declines

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210015788.4A CN102565718B (en) 2012-01-18 2012-01-18 Based on the lithium battery SOC determination methods that open-circuit voltage rise declines

Publications (2)

Publication Number Publication Date
CN102565718A true CN102565718A (en) 2012-07-11
CN102565718B CN102565718B (en) 2016-07-06

Family

ID=46411618

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210015788.4A Active CN102565718B (en) 2012-01-18 2012-01-18 Based on the lithium battery SOC determination methods that open-circuit voltage rise declines

Country Status (1)

Country Link
CN (1) CN102565718B (en)

Cited By (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103675692A (en) * 2012-09-26 2014-03-26 财团法人车辆研究测试中心 Battery health state detection method and device
CN104714182A (en) * 2013-12-11 2015-06-17 广州汽车集团股份有限公司 Method and system for determining state-of-charge value of battery
CN106093783A (en) * 2016-06-03 2016-11-09 哈尔滨工业大学 The battery SOC method of estimation that Kalman filtering merges with data-driven
CN106569143A (en) * 2016-11-11 2017-04-19 常州普莱德新能源电池科技有限公司 Method and system for on-line calculation of electrical core capacity and state of health (SOH), and electric vehicle
RU2662045C1 (en) * 2017-11-21 2018-07-23 Алексей Николаевич Ворошилов Method for determining the battery charging rate
CN117233616A (en) * 2023-11-13 2023-12-15 万帮数字能源股份有限公司 Lithium battery SOC prediction method and device

Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102221675A (en) * 2011-03-31 2011-10-19 杭州高特电子设备有限公司 Storage battery capacity judgment method based on mode identification technology
US20130300425A1 (en) * 2012-05-10 2013-11-14 Gs Yuasa International, Ltd. Electric storage device management system, electric storage device pack, and method of estimating state of charge

Patent Citations (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102221675A (en) * 2011-03-31 2011-10-19 杭州高特电子设备有限公司 Storage battery capacity judgment method based on mode identification technology
US20130300425A1 (en) * 2012-05-10 2013-11-14 Gs Yuasa International, Ltd. Electric storage device management system, electric storage device pack, and method of estimating state of charge

Non-Patent Citations (3)

* Cited by examiner, † Cited by third party
Title
叶华明: "复合电源混合动力汽车电池SOC的估算研究", 《中国优秀硕士学位论文全文数据库（电子期刊） 工程科技II辑》 *
李绍梅: "Plug_In混合动力汽车动力电池SOC估计研究", 《中国优秀硕士学位论文全文数据库（电子期刊） 工程科技II辑》 *
董明哲: "充电电池容量预测的算法研究", 《鞍山师范学院学报》 *

Cited By (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN103675692A (en) * 2012-09-26 2014-03-26 财团法人车辆研究测试中心 Battery health state detection method and device
CN103675692B (en) * 2012-09-26 2016-12-21 财团法人车辆研究测试中心 Battery health state detection method and device
CN104714182A (en) * 2013-12-11 2015-06-17 广州汽车集团股份有限公司 Method and system for determining state-of-charge value of battery
CN106093783A (en) * 2016-06-03 2016-11-09 哈尔滨工业大学 The battery SOC method of estimation that Kalman filtering merges with data-driven
CN106569143A (en) * 2016-11-11 2017-04-19 常州普莱德新能源电池科技有限公司 Method and system for on-line calculation of electrical core capacity and state of health (SOH), and electric vehicle
RU2662045C1 (en) * 2017-11-21 2018-07-23 Алексей Николаевич Ворошилов Method for determining the battery charging rate
CN117233616A (en) * 2023-11-13 2023-12-15 万帮数字能源股份有限公司 Lithium battery SOC prediction method and device
CN117233616B (en) * 2023-11-13 2024-03-22 万帮数字能源股份有限公司 Lithium battery SOC prediction method and device

Also Published As

Publication number Publication date
CN102565718B (en) 2016-07-06

Similar Documents

Publication Publication Date Title
CN101430366B (en) Battery charge state detection method
CN104392080B (en) A kind of lithium battery fractional order becomes rank equivalent-circuit model and its discrimination method
CN105607004B (en) A kind of lithium ion battery packet health state evaluation method and system
EP2490034B1 (en) Storage battery device, storage battery state of charge evaluation device and method
CN102565718A (en) Method for judging state of charge (SOC) of lithium battery based on rising and dropping of open-circuit voltage
CN105891730B (en) A kind of computational methods of automobile power cell capacity
CN108919129A (en) When a kind of under variable working condition power battery life-span prediction method
CN101860056A (en) Power lithium battery pack balancing and managing system based on Map model
CN102468521A (en) Method and apparatus for assessing battery state of health
CN102565710A (en) Method and apparatus for assessing battery state of health
CN107431255A (en) Accumulator control device, control method, program, accumulating system, power system
CN110061531A (en) The equalization methods of energy-storage battery
CN103675686A (en) Electric vehicle power battery charging and discharging operating condition simulation system and method
CN102854470A (en) Measurement method for estimating actual available capacity by SOC (state of charge) of power battery set
CN104407298A (en) Lithium ion battery pack available surplus capacity calculation method
CN105929336A (en) Power lithium ion battery health state estimation method
CN101458310A (en) Battery consistency evaluating method
CN110544801A (en) Dual-objective adaptive equalization control method for battery packs based on state of health
CN102343334A (en) Dynamic sorting method and system for power batteries
CN103267950A (en) SOH (State Of Health) value evaluation method of electric car battery pack
CN102645638A (en) SOC (Stress Optical Coefficient) estimating method of lithium battery pack
CN103176137B (en) Battery pack health condition evaluation method based on battery SOC (state of charge) inhomogeneity
CN101008668A (en) High accuracy detecting system of lithium batteries
CN102035230A (en) Equalizing charge control technology of storage battery pack
CN206060307U (en) A kind of accumulator cell charging and discharging bascule

Legal Events

Date Code Title Description
C06 Publication
PB01 Publication
C10 Entry into substantive examination
SE01 Entry into force of request for substantive examination
C14 Grant of patent or utility model
GR01 Patent grant
C56 Change in the name or address of the patentee
CP01 Change in the name or title of a patent holder

Address after: Xihu District Yi Lok Road Hangzhou city Zhejiang province 310012 No. 223 Yinjiang Technology Industrial Park B building 6 floor

Patentee after: HANGZHOU GOLD ELECTRONIC EQUIPMENT Inc.,Ltd.

Address before: Xihu District Yi Lok Road Hangzhou city Zhejiang province 310012 No. 223 Yinjiang Technology Industrial Park B building 6 floor

Patentee before: HANGZHOU GOLD ELECTRONIC EQUIPMENT Co.,Ltd.

PE01 Entry into force of the registration of the contract for pledge of patent right
PE01 Entry into force of the registration of the contract for pledge of patent right

Denomination of invention: SOC judgment method of lithium battery based on rise and fall of open circuit voltage

Effective date of registration: 20220308

Granted publication date: 20160706

Pledgee: Hangzhou High-tech Financing Guarantee Co.,Ltd.

Pledgor: HANGZHOU GOLD ELECTRONIC EQUIPMENT Inc.,Ltd.

Registration number: Y2022330000311

PC01 Cancellation of the registration of the contract for pledge of patent right
PC01 Cancellation of the registration of the contract for pledge of patent right

Date of cancellation: 20230831

Granted publication date: 20160706

Pledgee: Hangzhou High-tech Financing Guarantee Co.,Ltd.

Pledgor: HANGZHOU GOLD ELECTRONIC EQUIPMENT Inc.,Ltd.

Registration number: Y2022330000311