CN102540096B - Self-correction method for remaining capacity estimation of lithium iron phosphate power battery - Google Patents

Self-correction method for remaining capacity estimation of lithium iron phosphate power battery Download PDF

Info

Publication number
CN102540096B
CN102540096B CN201210013565.4A CN201210013565A CN102540096B CN 102540096 B CN102540096 B CN 102540096B CN 201210013565 A CN201210013565 A CN 201210013565A CN 102540096 B CN102540096 B CN 102540096B
Authority
CN
China
Prior art keywords
soc
iron phosphate
lithium iron
dynamic battery
phosphate dynamic
Prior art date
Application number
CN201210013565.4A
Other languages
Chinese (zh)
Other versions
CN102540096A (en
Inventor
宋晨路
张松通
刘涌
韩高荣
翁文剑
杜丕一
程逵
Original Assignee
浙江大学
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 浙江大学 filed Critical 浙江大学
Priority to CN201210013565.4A priority Critical patent/CN102540096B/en
Publication of CN102540096A publication Critical patent/CN102540096A/en
Application granted granted Critical
Publication of CN102540096B publication Critical patent/CN102540096B/en

Links

Abstract

The invention discloses a self-correction method for remaining capacity estimation of a lithium iron phosphate power battery. The conventional method cannot meet national standard well. According to the self-correction method disclosed by the invention, compensation and correction are performed on the basis of estimating the remaining capacity of the lithium iron phosphate power battery by using an ampere-hour method; and according to the characteristic that voltage of the lithium iron phosphate power battery abruptly changes at the end stage of charging or discharging, the actual remaining capacity SOC (State Of Charge) is corrected when dV/dSOC' is detected to be greater than or equal to 0.05, so that accumulative estimation error existing during independent use of the ampere-hour method is reduced. The self-correction method is based on the ampere-hour method, is simple and easy and is easier to apply and generalize. Meanwhile, the invention also provides a calculation method of aging rate gamma. By continuously updating the aging rate, the error for estimation by using the ampere-hour method is reduced again.

Description

A kind of method for residual capacity of iron-lithium phosphate power cell estimation self-correction

Technical field

The invention belongs to chemical energy source applied technical field, be specifically related to a kind of method for residual capacity of iron-lithium phosphate power cell estimation self-correction.

Background technology

Outstanding along with the enhancing of global environmental consciousness and energy problem, electric automobile has become the topmost developing direction of Green Vehicle.The electrokinetic cell that is applied at present electric automobile mainly contains lead-acid battery, Ni-MH battery and lithium ion battery, respectively has relative merits.Lithium iron phosphate dynamic battery is long owing to having the life-span, uses safety, and electric current fast charging and discharging, high temperature resistant greatly, large capacity, and the advantages such as memory-less effect can better meet the requirement of electric automobile to on-vehicle battery, and are applied rapidly and promote.

Battery dump energy claims that again the state-of-charge (State of Charge, i.e. SOC) of battery is one of major parameter of battery status, for the control strategy of electric automobile whole provides foundation.Ensure that SOC maintains in rational scope, prevent owing to overcharging or the damage of overdischarge to battery, thereby forecast that at any time electric automobile energy-storage battery also remains the state-of-charge of how many energy or energy-storage battery, for we rationally utilize battery, improve battery, reducing maintenance cost provides technique direction.How accurately to obtain reliably again battery remaining power is in battery intelligent management system, to be substantially the most also most important task.

At present aspect the accurate estimation of battery remaining power, doing many research both at home and abroad, conventional method mainly contains: ampere-hour integral method, open-circuit voltage method, fuzzy neural network method and Kalman filtering method etc.

Ampere-hour integral method is to estimate the SOC of battery by calculating the accumulation electric weight of battery when the charge or discharge.Ampere-hour method is current most widely used general, the most simple method for estimating remaining capacity.But the SOC that the method obtains estimates to exist larger cumulative errors.

Open-circuit voltage method is to utilize the dull corresponding relation of the open-circuit voltage of battery and the SOC of battery, sets up residual capacity (SOC)--the relation curve between open-circuit voltage (OCV), estimate SOC value by the open-circuit voltage of measuring battery.The method is measured stricter to SOC-OCV relation, be only suitable for SOC and change obvious battery with OCV.

Fuzzy neural network method is to rely on a large amount of sample datas to train the fuzzy neural network model of building up, this method is larger to the dependence of training method and training data, domestic and international most achievements rest on the Computer Simulation stage at present, also have certain distance from concrete practical application.

Kalman filtering method is that the state of power system is made to the optimal estimation in minimum variance meaning, but the method needs a large amount of calculating.

Lithium iron phosphate dynamic battery is owing to having very smooth charge and discharge platform, and the SOC of battery management system needs precision high, and be real-time On-line Estimation, the remaining capacity calculation method relevant with open-circuit voltage method is just no longer applicable to lithium iron phosphate dynamic battery so.And the control strategy of electric automobile is to adjust at any time according to the SOC of electric battery, current SOC value all must be provided at any time accurately, this just needs to have cumulative errors, and national standard requires error to be no more than 8% at present, and the method for estimation of prior art is not easy to meet.

Summary of the invention

The object of the invention is for the deficiency existing in prior art, a kind of method that can estimate more accurately residual capacity of iron-lithium phosphate power cell is provided.

The inventive method, detect and obtain at a time temperature T, electric current I and the magnitude of voltage V of t of lithium iron phosphate dynamic battery by external circuit, in conjunction with the reference residual capacity SOC ' being obtained by ampere-hour method, when detect dV/d SOC '>=0.05 time, to real surplus capacity, SOC revises, and completes ageing rate in the makeover process that carries out residual capacity simultaneously renewal.

The concrete implementation step of the inventive method is as follows:

Step (1). whole charge and discharge process adopts ampere-hour method lithium iron phosphate dynamic battery to be carried out to the estimation of residual capacity, and the reference residual capacity being estimated by ampere-hour method is designated as SOC ';

Step (2). carve at a time t according to lithium iron phosphate dynamic battery and detect the temperature T obtaining, the relation curve of controlled temperature and capacity, calculates current temperature factor of influence α, carries out temperature compensation;

Step (3). carve at a time t according to lithium iron phosphate dynamic battery and detect the electric current I obtaining, bring formula (1) into, calculate charge-discharge magnification factor of influence β, carry out the compensation of charge-discharge magnification.

????????????????????????(1)

Wherein, n is the constant relevant to lithium iron phosphate dynamic battery type, I 0it is lithium iron phosphate dynamic battery rated current;

Step (4). in charge and discharge process, if dV/dSOC '>=0.05 detecting, implementation step (5) (7); If the dV/dSOC ' < detecting 0.05, implementation step (8); Wherein dV/dSOC ' is the rate of change of wire-end voltage with respect to the reference residual capacity of ampere-hour method estimation;

Step (5). when dV/dSOC '>=0.05 detecting in lithium iron phosphate dynamic battery charging process, and while obtaining SOC ' >10% by ampere-hour method, this t 1under state, real surplus capacity SOC is once revised as follows:

????????????????????????????(2)

?????????????????????(3)

Now SOC 1substitute the reference residual capacity SOC ' being calculated by ampere-hour method, record the now value of SOC ' simultaneously, be designated as SOC ' 0, wherein SOH is lithium iron phosphate dynamic battery health status, SOC 1t 1the residual capacity of corresponding lithium iron phosphate dynamic battery under state, SOH 1t 1the health status of lithium iron phosphate dynamic battery under state;

Step (6). when dV/dSOC '>=0.05 detecting in lithium iron phosphate dynamic battery discharge process, and while obtaining SOC ' <10% by ampere-hour method, this t 2under state, real surplus capacity SOC is once revised as follows:

???????????????????????(4)

Now SOC 2substitute the reference residual capacity SOC ' being calculated by ampere-hour method, record the now value of SOC ' simultaneously, be designated as SOC ' 0, wherein, SOC 2t 2the residual capacity of corresponding lithium iron phosphate dynamic battery under state, SOH 2t 2the health status of lithium iron phosphate dynamic battery under state;

Step (7). in the use procedure of lithium iron phosphate dynamic battery, in the time of step (5) or step (6) generation, carrying out the real surplus capacity of lithium iron phosphate dynamic battery after revising for the n time is SOC n, in conjunction with last to residual capacity SOC n-1correction, can upgrade as follows ageing rate:

?????????????????????(5)

?

??(6)

Calculate thus the ageing rate γ after renewal n+1, and replace previous ageing rate γ n, skip to step (9); The initial value γ of ageing rate 0, γ 1be 100%;

Step (8). the ageing rate of lithium iron phosphate dynamic battery is not upgraded, and continues the ageing rate before continuing to use;

Step (9). determine the value of ageing rate γ, carry out the compensation of ageing rate;

Step (10). export revised real surplus capability value SOC.

Compare existing evaluation method, the inventive method beneficial effect is as follows:

1, the inventive method is based on ampere-hour method, simple, is more easily applied and promotes.

2, the inventive method is in the charge and discharge process of battery, when detect dV/dSOC ' >=0.05 time, to residual capacity, SOC revises, so because using separately the SOC cumulative errors of the continuous increase that ampere-hour method exists, almost negligible in the method.

3, the inventive method has proposed a kind of new ageing rate computing method, and a difficult problem of having avoided cycle index to be difficult to define, by constantly ageing rate being upgraded, has been dwindled the error that the estimation of ampere-hour method exists again.

Brief description of the drawings

Fig. 1 is the discharge curve under the different discharge-rates of certain lithium iron phosphate dynamic battery under room temperature;

Fig. 2 is the charging and discharging curve under certain multiplying power of certain lithium iron phosphate dynamic battery under room temperature;

Fig. 3 is that under room temperature, under the different discharge-rates of certain lithium iron phosphate dynamic battery, voltage is relatively and the image of residual capacity rate of change;

Fig. 4 is that under room temperature, voltage is relatively and the image of residual capacity rate of change when the charging of certain lithium iron phosphate dynamic battery;

The process flow diagram of Fig. 5 the inventive method estimation residual capacity of iron-lithium phosphate power cell.

Embodiment

Below in conjunction with accompanying drawing, the inventive method is described further.

The inventive method comprises the steps: as shown in Figure 5

Step (1). the value initialization to real surplus capacity SOC: taking the rated capacity C of lithium iron phosphate dynamic battery as reference value;

Step (2). whole charge and discharge process adopts ampere-hour method lithium iron phosphate dynamic battery to be carried out to the estimation of residual capacity, and the reference residual capacity being estimated by ampere-hour method is designated as SOC ';

Step (3). under different temperatures, lithium iron phosphate dynamic battery is carried out to charge-discharge test, construct the relation curve of lithium iron phosphate dynamic battery temperature and capacity, carve at a time t according to lithium iron phosphate dynamic battery and detect the temperature T obtaining, the relation curve of controlled temperature and capacity, calculate current temperature factor of influence α, carry out temperature compensation;

Step (4). carve at a time t according to lithium iron phosphate dynamic battery and detect the electric current I obtaining, bring formula (1) into, calculate charge-discharge magnification factor of influence β, carry out the compensation of charge-discharge magnification;

???????????????????????????(1)

Wherein, n is the constant relevant to lithium iron phosphate dynamic battery type, can be according to formula calculate, K is the constant relevant with active matter quality, is discharged the needed time according to battery under two kinds of electric currents, calculates the value of n, I 0be lithium iron phosphate dynamic battery rated current, and then calculate the charge-discharge magnification factor of influence β under certain moment t electric current I, be illustrated in figure 1 the discharge curve of certain lithium iron phosphate dynamic battery under several different discharge-rates under room temperature;

Step (5). in charge and discharge process, if dV/dSOC '>=0.05 detecting, implementation step (6) (8), if the dV/dSOC ' < detecting 0.05, implementation step (9), wherein dV/dSOC ' is the rate of change of wire-end voltage V with respect to the reference residual capacity SOC ' of ampere-hour method estimation;

Fig. 2 is the charging and discharging curve that under room temperature, certain lithium iron phosphate dynamic battery charging or discharging current is 7.5A, dV/dSOC '=0.05 o'clock, t 1state and t 2state institute correspondence position as shown in Figure 2.Fig. 3 and Fig. 4 are derived function (the relative rate of change with residual capacity SOC ' of the voltage V) image of certain lithium iron phosphate dynamic battery discharge curve under room temperature and the derived function image of charging curve, in charging latter stage and electric discharge dV/dSOC ' sharp increase in latter stage, the inventive method is carried out the estimation of residual capacity just based on this feature of lithium iron phosphate dynamic battery.

Step (6). when dV/dSOC '>=0.05 detecting in lithium iron phosphate dynamic battery charging process, and while obtaining SOC ' >10% by ampere-hour method, this moment t 1under state, real surplus capacity SOC is once revised as follows:

????????????????????????????(2)

?????????????????????(3)

Now SOC 1substitute the reference residual capacity SOC ' being estimated by ampere-hour method, record the now value of SOC ' simultaneously, be designated as SOC ' 0, wherein SOH is lithium iron phosphate dynamic battery health status, SOC 1state t 1the residual capacity of lower corresponding lithium iron phosphate dynamic battery, SOH 1state t 1the health status of lower lithium iron phosphate dynamic battery;

Step (7). when dV/dSOC '>=0.05 detecting in lithium iron phosphate dynamic battery discharge process, and while obtaining SOC ' <10% by ampere-hour method, this moment t 2under state, real surplus capacity SOC is once revised as follows:

???????????????????????(4)

Now SOC 2substitute the reference residual capacity SOC ' being calculated by ampere-hour method, record the now value of SOC ' simultaneously, be designated as SOC ' 0, wherein, SOC 2state t 2the residual capacity of lower corresponding lithium iron phosphate dynamic battery, SOH 2state t 2the health status of lower lithium iron phosphate dynamic battery;

Step (8). in the use procedure of lithium iron phosphate dynamic battery, in the time of step (6) or step (7) generation, carrying out the real surplus capacity of lithium iron phosphate dynamic battery after revising for the n time is SOC n, in conjunction with last to residual capacity SOC n-1correction, can upgrade as follows ageing rate:

?????????????????????(5)

?

??(6)

Calculate thus current ageing rate γ n+1, and replace previous ageing rate γ n, skip to step (10); The initial value γ of ageing rate γ 0, γ 1be 100%;

Step (9). the ageing rate of lithium iron phosphate dynamic battery is not upgraded, and continues the ageing rate before continuing to use;

Step (10). determine the value of ageing rate γ, carry out the compensation of ageing rate;

Step (11). export revised real surplus capability value SOC.

Claims (1)

1. for a method for residual capacity of iron-lithium phosphate power cell estimation self-correction, it is characterized in that comprising the steps:
Step (1). whole charge and discharge process adopts ampere-hour method lithium iron phosphate dynamic battery to be carried out to the estimation of residual capacity, and the reference residual capacity being estimated by ampere-hour method is designated as SOC ';
Step (2). carve at a time t according to lithium iron phosphate dynamic battery and detect the temperature T obtaining, the relation curve of controlled temperature and capacity, calculates current temperature factor of influence α, carries out temperature compensation;
Step (3). carve at a time t according to lithium iron phosphate dynamic battery and detect the electric current I obtaining, bring formula (1) into, calculate charge-discharge magnification factor of influence β, carry out the compensation of charge-discharge magnification;
&beta; = ( I 0 / I ) n - - - ( 1 )
Wherein, n is the constant relevant to lithium iron phosphate dynamic battery type, I 0it is lithium iron phosphate dynamic battery rated current;
Step (4). in charge and discharge process, if dV/dSOC ' >=0.05 detecting, implementation step (5)~(7); If the dV/dSOC ' < detecting 0.05, implementation step (8); Wherein dV/dSOC ' is the rate of change of wire-end voltage with respect to the reference residual capacity of ampere-hour method estimation;
Step (5). when dV/dSOC '>=0.05 detecting in lithium iron phosphate dynamic battery charging process, and while obtaining SOC ' >10% by ampere-hour method, this t 1under state, real surplus capacity SOC is once revised as follows:
SOH=α×β×γ(2)
SOC=SOC 1=SOH 1×98%(3)
Now SOC 1substitute the reference residual capacity SOC ' being calculated by ampere-hour method, record the now value of SOC ' simultaneously, be designated as SOC ' 0, wherein SOH is lithium iron phosphate dynamic battery health status, SOC 1t 1the residual capacity of corresponding lithium iron phosphate dynamic battery under state, SOH 1t 1the health status of lithium iron phosphate dynamic battery under state;
Step (6). when dV/dSOC '>=0.05 detecting in lithium iron phosphate dynamic battery discharge process, and while obtaining SOC ' <10% by ampere-hour method, this t 2under state, real surplus capacity SOC is once revised as follows:
SOC=SOC 2=SOH 2×5%(4)
Now SOC 2substitute the reference residual capacity SOC ' being calculated by ampere-hour method, record the now value of SOC ' simultaneously, be designated as SOC ' 0, wherein, SOC 2t 2the residual capacity of corresponding lithium iron phosphate dynamic battery under state, SOH 2t 2the health status of lithium iron phosphate dynamic battery under state;
Step (7). in the use procedure of lithium iron phosphate dynamic battery, in the time of step (5) or step (6) generation, carrying out the real surplus capacity of lithium iron phosphate dynamic battery after revising for the n time is SOC n, in conjunction with last to residual capacity SOC n-1correction, can upgrade as follows ageing rate:
SOC n &times; &gamma; n + 1 / &gamma; n - SOC n - 1 &times; &gamma; n / &gamma; n - 1 = SOC &prime; 0
? &gamma; = &gamma; n + 1 = SOC n - 1 &times; &gamma; n &times; &gamma; n / SOC n &times; &gamma; n - 1 + SOC &prime; 0 &times; &gamma; n / SOC n - - - ( 6 )
Calculate thus the ageing rate γ after renewal n+1, and replace previous ageing rate γ n, skip to step (9); The initial value γ of ageing rate 0, γ 1be 100%;
Step (8). the ageing rate of lithium iron phosphate dynamic battery is not upgraded, and continues the ageing rate before continuing to use;
Step (9). determine the value of ageing rate γ, carry out the compensation of ageing rate;
Step (10). export revised real surplus capability value SOC.
CN201210013565.4A 2012-01-17 2012-01-17 Self-correction method for remaining capacity estimation of lithium iron phosphate power battery CN102540096B (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN201210013565.4A CN102540096B (en) 2012-01-17 2012-01-17 Self-correction method for remaining capacity estimation of lithium iron phosphate power battery

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN201210013565.4A CN102540096B (en) 2012-01-17 2012-01-17 Self-correction method for remaining capacity estimation of lithium iron phosphate power battery

Publications (2)

Publication Number Publication Date
CN102540096A CN102540096A (en) 2012-07-04
CN102540096B true CN102540096B (en) 2014-07-23

Family

ID=46347444

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201210013565.4A CN102540096B (en) 2012-01-17 2012-01-17 Self-correction method for remaining capacity estimation of lithium iron phosphate power battery

Country Status (1)

Country Link
CN (1) CN102540096B (en)

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3614157A4 (en) * 2017-04-18 2020-02-26 Huawei Technologies Co., Ltd. Method and device for estimating state of health of battery

Families Citing this family (27)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
JP6209821B2 (en) * 2013-01-16 2017-10-11 日産自動車株式会社 Idle stop vehicle
CN103135064A (en) * 2013-01-25 2013-06-05 文创太阳能(福建)科技有限公司 Online testing method of electric quantity of lithium iron phosphate battery
CN103675704B (en) * 2013-12-05 2016-01-13 沈阳君威新能科技有限公司 battery capacity evaluation method
CN103884994B (en) * 2014-03-03 2016-09-21 中国东方电气集团有限公司 A kind of prevent lithium ion battery from crossing the SOC on-line checking and modification method put
FR3018607B1 (en) * 2014-03-17 2017-11-24 Commissariat Energie Atomique METHOD OF ESTIMATING AND RECALING THE CHARGING STATE OF A BATTERY CELL
FR3018608B1 (en) * 2014-03-17 2017-11-24 Commissariat Energie Atomique METHOD OF ESTIMATING THE HEALTH STATUS OF A BATTERY CELL
CN103884996A (en) * 2014-03-18 2014-06-25 中国电力科学研究院 Residual electricity quantity calculation method of lithium iron phosphate battery
CN105574304A (en) * 2014-10-07 2016-05-11 深圳市沃特玛电池有限公司 Method for estimating SOC (State Of Charge) of lithium iron phosphate power battery packs
JP6489854B2 (en) * 2015-02-03 2019-03-27 キヤノン株式会社 Charging device and battery device
CN104749528B (en) * 2015-03-30 2018-01-05 普天新能源车辆技术有限公司 Dynamic lithium battery capacity determining methods
GB2537406B (en) * 2015-04-16 2017-10-18 Oxis Energy Ltd Method and apparatus for determining the state of health and state of charge of lithium sulfur batteries
CN105891730B (en) * 2016-06-24 2018-09-28 安徽江淮汽车集团股份有限公司 A kind of computational methods of automobile power cell capacity
CN106324520B (en) * 2016-08-31 2018-12-18 北京普莱德新能源电池科技有限公司 Battery core capacity calculation methods and system in a kind of electrokinetic cell system based on monitor supervision platform data
CN106125008A (en) * 2016-08-31 2016-11-16 河南森源电气股份有限公司 The Method for Accurate Calculation of a kind of SOC on-line parameter self-correction and device
CN107132489B (en) * 2017-06-30 2021-01-05 浙江绿源电动车有限公司 Battery capacity detection method, vehicle state judgment method, battery pack and electric vehicle
CN108363009B (en) * 2017-12-26 2020-01-14 浙江大学 Method for realizing online estimation of maximum allowable power of lithium ion battery
CN108490361B (en) * 2018-03-22 2020-07-24 深圳库博能源科技有限公司 Cloud feedback-based SOC (state of charge) calculation method
CN110320477A (en) * 2018-03-30 2019-10-11 比亚迪股份有限公司 SOC calculation method, device and the electric car of power battery pack
CN108521155B (en) * 2018-05-09 2020-10-02 清华大学 Electric vehicle charging early warning method and system
CN108802625B (en) * 2018-06-20 2020-11-10 国网江苏省电力有限公司电力科学研究院 SOC self-adaptive correction method for secondary battery
CN109143081A (en) * 2018-10-09 2019-01-04 北京长城华冠汽车科技股份有限公司 A kind of lithium ion battery of electric automobile capacity estimation on line method and apparatus
CN109061518A (en) * 2018-10-18 2018-12-21 国家电网有限公司 A kind of communication storage battery health degree on-line monitoring method
CN109444749B (en) * 2018-11-01 2021-01-01 广东恒翼能科技有限公司 Temperature compensation method for lithium battery capacity measurement and storage medium
CN109507590A (en) * 2018-11-20 2019-03-22 惠州拓邦电气技术有限公司 One kind going polynary interference grid intelligent-tracking SOC modification method and system
CN109709490A (en) * 2018-12-29 2019-05-03 重庆小康工业集团股份有限公司 The modification method of lithium battery system Life cycle SOC
CN109633457A (en) * 2019-02-22 2019-04-16 上海度普新能源科技有限公司 A kind of acquisition methods and acquisition system of remaining capacity
CN111308364A (en) * 2020-02-27 2020-06-19 中南大学 Lithium ion battery state of charge estimation method and device

Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7109685B2 (en) * 2003-09-17 2006-09-19 General Motors Corporation Method for estimating states and parameters of an electrochemical cell
DE102007044798A1 (en) * 2007-08-17 2009-02-19 Robert Bosch Gmbh Electric storage i.e. rechargeable battery, model changing method for vehicle, involves adjusting parameter of model of rechargeable battery, and minimizing deviation of characteristics of aging state of battery
CN101411033A (en) * 2006-02-02 2009-04-15 马丁·维格 Method and arrangement for modifying the state of charge (SOC) and state of health (SOH) of a battery
CN102074757A (en) * 2010-12-24 2011-05-25 惠州市亿能电子有限公司 Method for estimating charge states of lithium ion battery
CN102230953A (en) * 2011-06-20 2011-11-02 江南大学 Method for predicting left capacity and health status of storage battery

Patent Citations (5)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
US7109685B2 (en) * 2003-09-17 2006-09-19 General Motors Corporation Method for estimating states and parameters of an electrochemical cell
CN101411033A (en) * 2006-02-02 2009-04-15 马丁·维格 Method and arrangement for modifying the state of charge (SOC) and state of health (SOH) of a battery
DE102007044798A1 (en) * 2007-08-17 2009-02-19 Robert Bosch Gmbh Electric storage i.e. rechargeable battery, model changing method for vehicle, involves adjusting parameter of model of rechargeable battery, and minimizing deviation of characteristics of aging state of battery
CN102074757A (en) * 2010-12-24 2011-05-25 惠州市亿能电子有限公司 Method for estimating charge states of lithium ion battery
CN102230953A (en) * 2011-06-20 2011-11-02 江南大学 Method for predicting left capacity and health status of storage battery

Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
EP3614157A4 (en) * 2017-04-18 2020-02-26 Huawei Technologies Co., Ltd. Method and device for estimating state of health of battery

Also Published As

Publication number Publication date
CN102540096A (en) 2012-07-04

Similar Documents

Publication Publication Date Title
US10126369B2 (en) Secondary battery capacity measurement system and secondary battery capacity measurement method
Wang et al. On-board state of health estimation of LiFePO4 battery pack through differential voltage analysis
Eddahech et al. Behavior and state-of-health monitoring of Li-ion batteries using impedance spectroscopy and recurrent neural networks
Xiong et al. A data-driven adaptive state of charge and power capability joint estimator of lithium-ion polymer battery used in electric vehicles
CN105842627B (en) The method of estimation of power battery capacity and state-of-charge based on data model fusion
CN105974323B (en) A kind of algorithm model improving electric car SOC estimation precision
Yang et al. State of charge estimation for pulse discharge of a LiFePO4 battery by a revised Ah counting
CN103675706B (en) A kind of power battery electric charge quantity estimation method
Kim Nonlinear state of charge estimator for hybrid electric vehicle battery
CN102520361B (en) State of health (SOH) value assessment method of battery pack
Sun et al. Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles
US9377512B2 (en) Battery state estimator combining electrochemical solid-state concentration model with empirical equivalent-circuit model
CN102645637B (en) Method for estimating SOC (state of charge) of equalized batteries
JP5818878B2 (en) Lithium ion battery charge state calculation method
CN102253343B (en) Method for estimating state of health and state of charge of storage battery
TWI409487B (en) Method and apparatus for detecting state of charge of battery
EP1707974B1 (en) Remaining capacity calculating device and method for electric power storage
CN104535932B (en) Lithium ion battery charge state estimating method
CN103852727B (en) Method and device for estimating power battery charge state on line
CN103399277B (en) A kind of power battery actual capacity estimation method
CN103020445B (en) A kind of SOC and SOH Forecasting Methodology of electric-vehicle-mounted ferric phosphate lithium cell
CN102468521B (en) Method and apparatus for assessing battery state of health
CN102565710B (en) Method and apparatus for assessing battery state of health
CN102445663B (en) Method for estimating battery health of electric automobile
CN105510829B (en) A kind of Novel lithium ion power battery SOC methods of estimation

Legal Events

Date Code Title Description
PB01 Publication
C06 Publication
SE01 Entry into force of request for substantive examination
C10 Entry into substantive examination
GR01 Patent grant
C14 Grant of patent or utility model