CN101324656A - Method and apparatus for predicting battery charge electricity - Google Patents
Method and apparatus for predicting battery charge electricity Download PDFInfo
- Publication number
- CN101324656A CN101324656A CNA2008101330751A CN200810133075A CN101324656A CN 101324656 A CN101324656 A CN 101324656A CN A2008101330751 A CNA2008101330751 A CN A2008101330751A CN 200810133075 A CN200810133075 A CN 200810133075A CN 101324656 A CN101324656 A CN 101324656A
- Authority
- CN
- China
- Prior art keywords
- battery
- charge
- current
- soc
- value
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Granted
Links
- 238000000034 method Methods 0.000 title claims abstract description 21
- 230000005611 electricity Effects 0.000 title 1
- 238000001514 detection method Methods 0.000 claims abstract description 21
- 230000015556 catabolic process Effects 0.000 claims description 7
- 238000006731 degradation reaction Methods 0.000 claims description 7
- 238000007599 discharging Methods 0.000 claims description 6
- 238000013277 forecasting method Methods 0.000 abstract 2
- 230000010354 integration Effects 0.000 description 3
- 241000156302 Porcine hemagglutinating encephalomyelitis virus Species 0.000 description 1
- 230000032683 aging Effects 0.000 description 1
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000005779 cell damage Effects 0.000 description 1
- 208000037887 cell injury Diseases 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 238000012856 packing Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/382—Arrangements for monitoring battery or accumulator variables, e.g. SoC
- G01R31/3842—Arrangements for monitoring battery or accumulator variables, e.g. SoC combining voltage and current measurements
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The invention relates to a battery charge forecasting method and a device which can effectively forecast the battery charge state of a vehicle. The invention has two technical proposals based on the same invention concept: 1. the battery charge forecasting method is characterized in that the charge and the discharge between a high voltage battery and an inverter of the whole vehicle part are carried out through a high-voltage wire, and a main controller obtains the current charge state according to the charge and the discharge current signals, the battery temperature signal and the battery voltage signal. 2. The battery charge forecasting device for realizing the method is characterized in that the device is provided with a battery current sensor and a battery temperature sensor; the current sensor and the temperature sensor are respectively connected with a current detection loop and a temperature detection loop; the device is simultaneously provided with a battery voltage detection loop; single output ends of the temperature detection loop, the current detection loop and the voltage detection loop are connected with an A/D converter; and the single output end of the A/D converter is connected with the main controller.
Description
Technical field
The present invention relates to charged Forecasting Methodology of a kind of automobile batteries and device.
Background technology
Battery is as a kind of electrochmical power source, and itself and physical power source have difference in essence.Because the work characteristics of electrochmical power source nonrepeatability, therefore need consideration factor in many ways, as: external environment condition (as environment temperature), operating parameter (charging and discharging currents discharges and recharges the time), self character (characteristic of all kinds battery) could carry out a prediction more accurately to battery charge state.
At present, the use of electrochmical power source in the field of mobile phone, notebook computer, various electric tools is very general, also comparatively simple and ripe to its state-of-charge Study on Forecast and application, record is also all arranged in various documents, introduced a kind of cell voltage margin of cell phone display packing and device as the CN200510007491.3 patent, the CN00136839.7 patent has been introduced a kind of measure and control device and investigating method of battery capacity for notebook computer.
In recent years, because automobile main frame maker is to the competitively exploitation of various electric automobiles, very big challenge has also been proposed to the state-of-charge Forecasting Methodology of used battery on the electric automobile.Battery charge state prediction in the past is many to be realized by the computing of surplus meter.Under certain simple environment for use, as: charging and discharging currents changes little, and when environment temperature was stablized, this method can obtain result preferably.If battery is used in the electric motor car, especially be used in the PHEV, the charging and discharging currents value changes in a very big scope, and serviceability temperature also changes bigger, if still use above-mentioned easy method, do not reach the accuracy value of expection at all, not only can not optimize the performance of car load, and might finally cause cell damage serious even scrap.
Summary of the invention
Goal of the invention of the present invention is to provide a kind of battery charge Forecasting Methodology and device, can effectively predict the automobile batteries state-of-charge.
The present invention is based on same inventive concept and have two technical schemes:
1, a kind of battery charge Forecasting Methodology, it is characterized in that: discharge and recharge by hi-line between the inverter of high-tension battery and car load part, master controller calculates according to charging and discharging currents signal, battery temperature signal and battery voltage signal and obtains current state-of-charge.
2, a kind of battery charge prediction unit of realizing preceding method, it is characterized in that: be provided with battery current sensor, battery temperature sensor, current sensor, temperature sensor connect current detection circuit and temperature detection loop respectively, also be provided with the battery voltage detection loop simultaneously, the signal output part in temperature detection loop, current detection circuit and voltage detecting loop connects A/D converter, and the A/D converter signal output part connects master controller.
The beneficial effect that the present invention has:
The present invention can predict the state-of-charge of hybrid vehicle battery accurately and effectively, can not only better satisfy the demand of car load, but also can make battery be in top condition, prolongs battery serviceable life.
Description of drawings
Fig. 1 is the electric principle of compositionality figure of the present invention;
Fig. 2 is the self-discharge of battery curve map;
The curve map that battery open circuit voltage changed with SOC, T when Fig. 3 was charging;
The curve map that battery open circuit voltage changed with SOC, T when Fig. 4 was discharge;
Fig. 5 is the efficiency value η change curve during battery charge under certain temperature;
Fig. 6 is the efficiency value η change curve during battery discharge under certain temperature;
Fig. 7 is the change curve of cell degradation factor beta with the charge and discharge cycles number of times.
Embodiment
As shown in Figure 1, be provided with battery current sensor 3, battery temperature sensor, current sensor, temperature sensor meet current detection circuit U3 and temperature detection loop U2 respectively, also be provided with battery voltage detection loop U1 simultaneously, the signal output part in temperature detection loop, current detection circuit and voltage detecting loop meets A/D converter U5 through data acquisition unit circuit U 4, the A/D converter signal output part meets master controller U6, and primary controller meets the instrument panel U7 of car load.
Discharge and recharge by hi-line 4 between the inverter 2 of high-tension battery 1 and car load part, master controller calculates according to charging and discharging currents signal, battery temperature signal and battery voltage signal and obtains current state-of-charge.
The computing formula of current state-of-charge is an ampere-hour integral equation:
Wherein SOC is current charged value, SOC
0Be the charged value before powering on, Cn is the rated capacity of battery, and η is an efficiency for charge-discharge, and β is the cell degradation coefficient.
1, power on before charged value SOC
0Acquisition
Before shutting down last time, store current battery charge state value SOC1 and direction of current I
Dir, the time interval t1 according between shutdown last time and this starting as shown in Figure 2, obtains self-discharge rate θ according to the self-discharge of battery curve map, and SOC1 is deducted self-discharge rate θ, remembers the SOC1 ' that revises;
Read this open-circuit voltage values that powers on and temperature value simultaneously, and to above-mentioned I
DirJudge, work as I
DirDuring for positive number, as shown in Figure 3, the curve map that battery open circuit voltage changes with SOC, T during according to charging obtains modified value SOC2 ', works as I
DirDuring for negative, as shown in Figure 4, battery open circuit voltage obtains modified value SOC2 with the curve map that SOC, T change during according to discharge ";
Finally draw the charged value SOC before powering on
0=a*SOC1 '+b SOC2 ' or SOC
0=a*SOC1 '+b*SOC2 ", wherein a, b obtain by the time interval t1 between shutdown last time and this starting for can demarcate variable, and relation sees the following form between time interval t1 and a, the b:
(h representative hour, d represent the sky)
t1 | <2h | 2h ≤t1 ≤ 6h | 6h<t1 ≤ 24h | 2d | 3d | 4d | 5d | 6d | 7d | 8d | 9d | 10d | 11d | 12d | 13d | 14d | 15d |
a | 1 | 0.97 | 0.95 | 0.92 | 0.89 | 0.86 | 0.83 | 0.8 | 0.77 | 0.74 | 0.71 | 0.68 | 0.65 | 0.62 | 0.59 | 0.56 | 0.53 |
|
0 | 0.03 | 0.05 | 0.08 | 0.11 | 0.14 | 0.17 | 0.2 | 0.23 | 0.26 | 0.29 | 0.32 | 0.35 | 0.38 | 0.41 | .044 | 0.47 |
2, the acquisition of efficiency for charge-discharge η
According to the charged value SOC before powering on
0, current battery current value, temperature value, I
DirDirection is in conjunction with the efficiency value η change curve during battery charge under certain temperature, as shown in Figure 5; Perhaps, as shown in Figure 6, obtain efficiency for charge-discharge η in conjunction with the efficiency value η change curve during battery discharge under certain temperature.
3, the acquisition of cell degradation factor beta
The cell degradation factor beta can obtain according to battery actual capacity of being surveyed after the charge and discharge cycles repeatedly and the merchant of rated capacity Cn.
As shown in Figure 7, the change curve of cell degradation factor beta and charge and discharge cycles number of times, wherein ordinate is that m back actual capacity of being surveyed of circulation and the merchant of rated capacity Cn are β.
Whole process is loop cycle with T, from certain t constantly, and as if I this moment
Dir>0, and (t-T constantly) I of last one-period
Dir<0, show from t moment battery to begin charging record corresponding SOC this moment
t, afterwards in service is judged I constantly
DirPositive and negative, in case certain (t+nT) I constantly
Dir<0, show that this charge operation finishes, simultaneously record corresponding SOC this moment
T+NT
If constantly from certain t, I
Dir<0, and (t-T constantly) I of last one-period
Dir>0, show from t moment battery to begin discharge record corresponding SOC this moment
t, follow-up judgement thinking is identical with the beginning charging procedure; Such judgement is in order to calculate in single charge operation or the discharge operational process, the SOC situation of change of battery, in case | SOC
T+nT-SOC
t| 〉=5%, then cycle index m adds 1, otherwise m remains unchanged; Check in aging coefficient β by Fig. 7 then.
Aforesaid each curvilinear motion figure is a prior art, is implanted in advance in the primary controller, and master controller is according to equation
Selected integration period carries out integration to the current value that is collected by integration period, and charging current is for just in the equation, and discharge current is for negative, will resulting current battery charge state value (SOC) timing renewal, and be shown on the instrument panel.
Claims (7)
1, a kind of battery charge Forecasting Methodology, it is characterized in that: discharge and recharge by hi-line between the inverter of high-tension battery and car load part, master controller calculates according to charging and discharging currents signal, battery temperature signal and battery voltage signal and obtains current state-of-charge.
2, the described battery charge Forecasting Methodology of claim 1, it is characterized in that: the computing formula of current state-of-charge is:
Wherein SOC is current charged value, SOC
0Be the charged value before powering on, Cn is the rated capacity of battery, and η is an efficiency for charge-discharge, and β is the cell degradation coefficient.
3, battery charge Forecasting Methodology according to claim 2 is characterized in that:
Charged value SOC before powering on
0Can obtain by the following method,
Before shutting down last time, store current battery charge state value SOC1 and direction of current I
Dir, the time interval t1 according between shutdown last time and this starting obtains self-discharge rate θ, and SOC1 is deducted self-discharge rate θ, remembers the SOC1 ' that revises;
Read this open-circuit voltage values that powers on and temperature value simultaneously, and to above-mentioned I
DirJudge, work as I
DirDuring for positive number, obtain modified value SOC2 ', work as I
DirDuring for negative, obtain modified value SOC2 ";
Finally draw the charged value SOC before powering on
0=a*SOC1 '+b SOC2 ' or SOC
0=a*SOC1 '+b*SOC2 ", wherein a, b obtain by the time interval t1 between shutdown last time and this starting for can demarcate variable.
4, battery charge Forecasting Methodology according to claim 3 is characterized in that: efficiency for charge-discharge η can be according to the charged value SOC before powering on
0, current battery current value, temperature value obtain.
5, battery charge Forecasting Methodology according to claim 4 is characterized in that: the cell degradation factor beta can obtain according to battery actual capacity of being surveyed after the charge and discharge cycles repeatedly and the merchant of rated capacity Cn.
6, a kind of battery charge prediction unit of realizing claim 1 method, it is characterized in that: be provided with battery current sensor, battery temperature sensor, current sensor, temperature sensor connect current detection circuit and temperature detection loop respectively, also be provided with the battery voltage detection loop simultaneously, the signal output part in temperature detection loop, current detection circuit and voltage detecting loop connects A/D converter through the data acquisition unit circuit, and the A/D converter signal output part connects master controller.
7, battery charge prediction unit according to claim 6, it is characterized in that: primary controller connects the instrument panel of car load.
Priority Applications (2)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2008101330751A CN101324656B (en) | 2008-07-08 | 2008-07-08 | Method for predicting battery charge electricity |
PCT/CN2009/072652 WO2010003361A1 (en) | 2008-07-08 | 2009-07-06 | Method and device for forecasting battery charge |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN2008101330751A CN101324656B (en) | 2008-07-08 | 2008-07-08 | Method for predicting battery charge electricity |
Publications (2)
Publication Number | Publication Date |
---|---|
CN101324656A true CN101324656A (en) | 2008-12-17 |
CN101324656B CN101324656B (en) | 2010-09-08 |
Family
ID=40188275
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN2008101330751A Active CN101324656B (en) | 2008-07-08 | 2008-07-08 | Method for predicting battery charge electricity |
Country Status (2)
Country | Link |
---|---|
CN (1) | CN101324656B (en) |
WO (1) | WO2010003361A1 (en) |
Cited By (15)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010003361A1 (en) * | 2008-07-08 | 2010-01-14 | 奇瑞汽车股份有限公司 | Method and device for forecasting battery charge |
CN102455410A (en) * | 2010-10-18 | 2012-05-16 | 深圳中兴力维技术有限公司 | Remote discharging control system, monitoring unit device and detecting method of storage battery pack |
CN102565716A (en) * | 2010-12-27 | 2012-07-11 | 株式会社电装 | Apparatus for calculating residual capacity of secondary battery |
CN102636759A (en) * | 2012-05-02 | 2012-08-15 | 上海樟村电子有限公司 | Method for accurately calculating battery electric quantity system-on-chip (SOC) in real time |
CN102803978A (en) * | 2009-06-24 | 2012-11-28 | 丰田自动车株式会社 | Upper-limit of state-of-charge estimating device and upper-limit of state-of-charge estimating method |
CN103197248A (en) * | 2012-01-06 | 2013-07-10 | 沈阳新松机器人自动化股份有限公司 | Method and device for detecting electric quantity of robot storage battery |
CN103399278A (en) * | 2013-07-31 | 2013-11-20 | 清华大学 | Single battery capacity and charge state estimating method |
CN103592605A (en) * | 2013-10-31 | 2014-02-19 | 聚光科技(杭州)股份有限公司 | Lithium thionyl chloride battery pack management system and method |
CN104076283A (en) * | 2013-03-25 | 2014-10-01 | 北汽福田汽车股份有限公司 | Power battery SOC initial value calculation method and power battery system |
CN105277887A (en) * | 2014-07-22 | 2016-01-27 | 艾默生网络能源有限公司 | Method and device for detecting residual electricity of storage battery |
CN105572595A (en) * | 2015-12-09 | 2016-05-11 | 合肥国盛电池科技有限公司 | Measurement method and device of rest electric quantity of lithium battery set |
CN106291375A (en) * | 2016-07-28 | 2017-01-04 | 河南许继仪表有限公司 | A kind of SOC estimation method based on cell degradation and device |
CN110998345A (en) * | 2017-08-23 | 2020-04-10 | 喜利得股份公司 | Determining the charge of a battery |
CN111301222A (en) * | 2020-02-17 | 2020-06-19 | 北京嘀嘀无限科技发展有限公司 | Vehicle battery cell voltage drop early warning method, electronic equipment and storage medium |
CN112419692A (en) * | 2020-10-29 | 2021-02-26 | 安普瑞斯(南京)航运动力有限公司 | Wireless transmission system specially used for detecting high temperature of battery high-voltage line |
Families Citing this family (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP5732725B2 (en) * | 2010-02-19 | 2015-06-10 | ミツミ電機株式会社 | Battery state detection device |
CN102854372B (en) * | 2011-06-29 | 2015-01-21 | 北汽福田汽车股份有限公司 | High-voltage bus current detection device and battery management system |
CN111679200B (en) * | 2020-06-03 | 2023-02-10 | 广州小鹏汽车科技有限公司 | Battery state of charge calibration method and device and vehicle |
CN111983462B (en) * | 2020-07-20 | 2023-02-10 | 武汉数值仿真技术研究院有限公司 | Method for testing charging and discharging performance of vehicle lithium ion battery |
CN114236405B (en) * | 2020-09-07 | 2024-01-12 | 海能达通信股份有限公司 | Battery electric quantity detection method and device and portable electronic equipment |
CN113484762B (en) * | 2021-07-16 | 2024-05-14 | 东风柳州汽车有限公司 | Battery state of health estimation method, device, equipment and storage medium |
CN116488281B (en) * | 2023-03-14 | 2024-02-23 | 深圳市汇芯源科技有限公司 | Charge-discharge protection circuit device and battery discharge control method |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
JP3379444B2 (en) * | 1998-09-07 | 2003-02-24 | トヨタ自動車株式会社 | Hybrid vehicle charge / discharge state control device |
JP4583765B2 (en) * | 2004-01-14 | 2010-11-17 | 富士重工業株式会社 | Remaining capacity calculation device for power storage device |
CN1601295A (en) * | 2004-10-25 | 2005-03-30 | 清华大学 | Estimation for accumulator loading state of electric vehicle and carrying out method thereof |
KR100759706B1 (en) * | 2005-05-11 | 2007-09-17 | 주식회사 엘지화학 | Method of estimating soc of battery for hybrid electric vehicle |
CN1945345A (en) * | 2005-10-09 | 2007-04-11 | 奇瑞汽车有限公司 | Detecting device and method for mixed power automobile battery remainder |
CN101324656B (en) * | 2008-07-08 | 2010-09-08 | 奇瑞汽车股份有限公司 | Method for predicting battery charge electricity |
-
2008
- 2008-07-08 CN CN2008101330751A patent/CN101324656B/en active Active
-
2009
- 2009-07-06 WO PCT/CN2009/072652 patent/WO2010003361A1/en active Application Filing
Cited By (22)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
WO2010003361A1 (en) * | 2008-07-08 | 2010-01-14 | 奇瑞汽车股份有限公司 | Method and device for forecasting battery charge |
CN102803978A (en) * | 2009-06-24 | 2012-11-28 | 丰田自动车株式会社 | Upper-limit of state-of-charge estimating device and upper-limit of state-of-charge estimating method |
CN102803978B (en) * | 2009-06-24 | 2014-10-15 | 丰田自动车株式会社 | Upper-limit of state-of-charge estimating device and upper-limit of state-of-charge estimating method |
CN102455410B (en) * | 2010-10-18 | 2014-09-10 | 深圳中兴力维技术有限公司 | Remote discharging control system, monitoring unit device and detecting method of storage battery pack |
CN102455410A (en) * | 2010-10-18 | 2012-05-16 | 深圳中兴力维技术有限公司 | Remote discharging control system, monitoring unit device and detecting method of storage battery pack |
CN102565716A (en) * | 2010-12-27 | 2012-07-11 | 株式会社电装 | Apparatus for calculating residual capacity of secondary battery |
CN102565716B (en) * | 2010-12-27 | 2015-03-11 | 株式会社电装 | Apparatus for calculating residual capacity of secondary battery |
CN103197248A (en) * | 2012-01-06 | 2013-07-10 | 沈阳新松机器人自动化股份有限公司 | Method and device for detecting electric quantity of robot storage battery |
CN103197248B (en) * | 2012-01-06 | 2015-07-01 | 沈阳新松机器人自动化股份有限公司 | Method and device for detecting electric quantity of robot storage battery |
CN102636759A (en) * | 2012-05-02 | 2012-08-15 | 上海樟村电子有限公司 | Method for accurately calculating battery electric quantity system-on-chip (SOC) in real time |
CN104076283A (en) * | 2013-03-25 | 2014-10-01 | 北汽福田汽车股份有限公司 | Power battery SOC initial value calculation method and power battery system |
CN103399278B (en) * | 2013-07-31 | 2016-03-23 | 清华大学 | The capacity of battery cell and the method for estimation of state-of-charge |
CN103399278A (en) * | 2013-07-31 | 2013-11-20 | 清华大学 | Single battery capacity and charge state estimating method |
CN103592605A (en) * | 2013-10-31 | 2014-02-19 | 聚光科技(杭州)股份有限公司 | Lithium thionyl chloride battery pack management system and method |
CN103592605B (en) * | 2013-10-31 | 2016-08-31 | 聚光科技(杭州)股份有限公司 | A kind of lithium thionyl chloride battery pack management system and method |
CN105277887A (en) * | 2014-07-22 | 2016-01-27 | 艾默生网络能源有限公司 | Method and device for detecting residual electricity of storage battery |
CN105572595A (en) * | 2015-12-09 | 2016-05-11 | 合肥国盛电池科技有限公司 | Measurement method and device of rest electric quantity of lithium battery set |
CN106291375A (en) * | 2016-07-28 | 2017-01-04 | 河南许继仪表有限公司 | A kind of SOC estimation method based on cell degradation and device |
CN110998345A (en) * | 2017-08-23 | 2020-04-10 | 喜利得股份公司 | Determining the charge of a battery |
CN111301222A (en) * | 2020-02-17 | 2020-06-19 | 北京嘀嘀无限科技发展有限公司 | Vehicle battery cell voltage drop early warning method, electronic equipment and storage medium |
CN111301222B (en) * | 2020-02-17 | 2021-07-16 | 北京嘀嘀无限科技发展有限公司 | Vehicle battery cell voltage drop early warning method, electronic equipment and storage medium |
CN112419692A (en) * | 2020-10-29 | 2021-02-26 | 安普瑞斯(南京)航运动力有限公司 | Wireless transmission system specially used for detecting high temperature of battery high-voltage line |
Also Published As
Publication number | Publication date |
---|---|
WO2010003361A1 (en) | 2010-01-14 |
CN101324656B (en) | 2010-09-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN101324656B (en) | Method for predicting battery charge electricity | |
Zhang et al. | Comprehensive dynamic battery modeling for PHEV applications | |
US10802080B2 (en) | Battery system in vehicle and aging deterioration estimation method for battery | |
CN102077105B (en) | Method for battery capacity estimation | |
CN103969589B (en) | The method detecting open-circuit voltage skew by the Optimal Fitting of anelectrode half-cell voltage curve | |
US9411019B2 (en) | Method and system for estimating state of health of battery set | |
He et al. | Modeling and simulation for hybrid electric vehicles. I. Modeling | |
CN101634687B (en) | Method for measuring SOC value of battery of hybrid vehicle | |
JP5179047B2 (en) | Storage device abnormality detection device, storage device abnormality detection method, and abnormality detection program thereof | |
JP5294448B2 (en) | Estimating remaining battery capacity | |
EP2178187B1 (en) | Power source system, vehicle having the system, and control method for the power source system | |
EP2709202B1 (en) | System and method for the measurement and prediction of the charging efficiency of accumulators | |
US10124696B2 (en) | Estimation and compensation of battery measurement and asynchronization biases | |
CN101226229B (en) | Fast search algorithm for finding initial diffusion voltage in electro-chemical systems | |
CN105510832A (en) | Electrified vehicle battery state-of-charge monitoring with aging compensation | |
CN106329021A (en) | Method and device for estimating remaining available energy of power battery | |
EP3944399B1 (en) | Battery management device, battery management method, and electric power storage system | |
CN102209905A (en) | Apparatus and method for synchronizing and measuring the current and voltage of a secondary battery pack | |
CN105467325A (en) | Battery capacity degradation resolution methods and systems | |
Lee et al. | Modelling and simulation of vehicle electric power system | |
CN104485474A (en) | Electric vehicle battery pack matching method based on coincidence indicator | |
CN105083037A (en) | Battery cell state of charge estimation | |
CN105051559A (en) | Secondary battery charge status estimation device and secondary battery charge status estimation method | |
CN104723895A (en) | Vehicle and battery degradation accumulation methods | |
CN103314303A (en) | Method for ascertaining the open circuit voltage of a battery, battery with a module for ascertaining the open circuit voltage and a motor vehicle having a corresponding battery |
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 |