CN111033930A - 电池和电池包的荷电状态的估计方法及利用此荷电状态估计方法的电池管理系统、电池以及电动汽车 - Google Patents

电池和电池包的荷电状态的估计方法及利用此荷电状态估计方法的电池管理系统、电池以及电动汽车 Download PDF

Info

Publication number
CN111033930A
CN111033930A CN201780094160.9A CN201780094160A CN111033930A CN 111033930 A CN111033930 A CN 111033930A CN 201780094160 A CN201780094160 A CN 201780094160A CN 111033930 A CN111033930 A CN 111033930A
Authority
CN
China
Prior art keywords
battery
recording
terminal voltage
charge
circuit voltage
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
CN201780094160.9A
Other languages
English (en)
Other versions
CN111033930B (zh
Inventor
肖鹏飞
房乔华
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.)
Robert Bosch GmbH
Original Assignee
Robert Bosch GmbH
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 Robert Bosch GmbH filed Critical Robert Bosch GmbH
Publication of CN111033930A publication Critical patent/CN111033930A/zh
Application granted granted Critical
Publication of CN111033930B publication Critical patent/CN111033930B/zh
Active legal-status Critical Current
Anticipated expiration legal-status Critical

Links

Images

Classifications

    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • HELECTRICITY
    • H02GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
    • H02JCIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
    • H02J7/00Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries

Abstract

本发明提供了一种电池的荷电状态的估计方法,包括监视电池的电流;当电流为0时,记录所述电池的端电压;建立与任意连续的两个记录时间分别对应的两个端电压之间的关系模型;利用递推最小二乘法计算得出开路电压;并根据开路电压确定电池的荷电状态。本发明还提供了一种电池组的荷电状态的估计方法,以及利用该些估计方法的电池管理系统、电池以及电动汽车。本发明的方案具有等待时间短、估计精度高、计算复杂度低、应用容易以及无需额外硬件等优点。

Description

PCT国内申请,说明书已公开。

Claims (16)

  1. PCT国内申请,权利要求书已公开。
CN201780094160.9A 2017-08-24 2017-08-24 电池和电池包的荷电状态的估计方法及利用此荷电状态估计方法的电池管理系统 Active CN111033930B (zh)

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
PCT/CN2017/098780 WO2019037012A1 (zh) 2017-08-24 2017-08-24 电池和电池包的荷电状态的估计方法及利用此荷电状态估计方法的电池管理系统、电池以及电动汽车

Publications (2)

Publication Number Publication Date
CN111033930A true CN111033930A (zh) 2020-04-17
CN111033930B CN111033930B (zh) 2024-03-05

Family

ID=65439726

Family Applications (1)

Application Number Title Priority Date Filing Date
CN201780094160.9A Active CN111033930B (zh) 2017-08-24 2017-08-24 电池和电池包的荷电状态的估计方法及利用此荷电状态估计方法的电池管理系统

Country Status (2)

Country Link
CN (1) CN111033930B (zh)
WO (1) WO2019037012A1 (zh)

Families Citing this family (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
FR3130038B1 (fr) 2021-12-08 2024-01-19 Renault Sas Procede de determination et de recalage de l’etat de charge des batteries d’un vehicule hybride

Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015188610A1 (zh) * 2014-06-11 2015-12-17 北京交通大学 电池荷电状态估算方法和装置
CN105301509A (zh) * 2015-11-12 2016-02-03 清华大学 锂离子电池荷电状态、健康状态与功率状态的联合估计方法
CN105391107A (zh) * 2014-08-29 2016-03-09 福特全球技术公司 用于电池荷电状态估计的方法
CN106054080A (zh) * 2016-06-06 2016-10-26 电子科技大学 一种动力电池荷电状态与健康状态的联合估计方法
CN106597291A (zh) * 2016-10-11 2017-04-26 深圳市沃特玛电池有限公司 在线估算电池参数的方法
CN107064811A (zh) * 2017-03-01 2017-08-18 华南理工大学 一种锂电池soc在线估计方法

Family Cites Families (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN102246385B (zh) * 2008-10-10 2015-07-29 艾默吉电力系统股份有限公司 用于确定电池的荷电状态的方法和设备
CN105467328B (zh) * 2015-12-29 2018-07-03 哈尔滨工业大学 一种锂离子电池荷电状态估计方法

Patent Citations (6)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
WO2015188610A1 (zh) * 2014-06-11 2015-12-17 北京交通大学 电池荷电状态估算方法和装置
CN105391107A (zh) * 2014-08-29 2016-03-09 福特全球技术公司 用于电池荷电状态估计的方法
CN105301509A (zh) * 2015-11-12 2016-02-03 清华大学 锂离子电池荷电状态、健康状态与功率状态的联合估计方法
CN106054080A (zh) * 2016-06-06 2016-10-26 电子科技大学 一种动力电池荷电状态与健康状态的联合估计方法
CN106597291A (zh) * 2016-10-11 2017-04-26 深圳市沃特玛电池有限公司 在线估算电池参数的方法
CN107064811A (zh) * 2017-03-01 2017-08-18 华南理工大学 一种锂电池soc在线估计方法

Also Published As

Publication number Publication date
CN111033930B (zh) 2024-03-05
WO2019037012A1 (zh) 2019-02-28

Similar Documents

Publication Publication Date Title
Wang et al. Model‐based unscented Kalman filter observer design for lithium‐ion battery state of charge estimation
Chen et al. A new state-of-health estimation method for lithium-ion batteries through the intrinsic relationship between ohmic internal resistance and capacity
CN107368619B (zh) 一种扩展卡尔曼滤波soc估算方法
CN108254696B (zh) 电池的健康状态评估方法及系统
Xiong et al. A robust state-of-charge estimator for multiple types of lithium-ion batteries using adaptive extended Kalman filter
Kim et al. Online SOC and SOH estimation for multicell lithium-ion batteries based on an adaptive hybrid battery model and sliding-mode observer
Huria et al. Simplified extended kalman filter observer for soc estimation of commercial power-oriented lfp lithium battery cells
JP4511600B2 (ja) 電気化学セルの現在状態及び現在パラメーターを推定する装置、方法及びシステム、並びに記録媒体
CN107748336B (zh) 锂离子电池的荷电状态在线估计方法及系统
Windarko et al. SOC estimation of LiPB batteries using Extended Kalman Filter based on high accuracy electrical model
CN111929602B (zh) 一种基于容量估计的单体电池漏电或微短路定量诊断方法
Wang et al. Adaptive state-of-charge estimation method for an aeronautical lithium-ion battery pack based on a reduced particle-unscented kalman filter
Taborelli et al. State of charge estimation using extended Kalman filters for battery management system
Kim et al. State of charge estimation based on a realtime battery model and iterative smooth variable structure filter
CN112462282B (zh) 基于机理模型的用于确定电池组实时荷电状态的方法
Ren et al. Novel co‐estimation strategy based on forgetting factor dual particle filter algorithm for the state of charge and state of health of the lithium‐ion battery
Rosca et al. On-line parameter, state-of-charge and aging estimation of Li-ion batteries
CN113777501A (zh) 一种电池模组的soh的估算方法
CA2588334C (en) Method and system for joint battery state and parameter estimation
CN112285569B (zh) 一种基于动态阈值模型的电动汽车故障诊断方法
CN111033930B (zh) 电池和电池包的荷电状态的估计方法及利用此荷电状态估计方法的电池管理系统
Sakile et al. Estimation of lithium‐ion battery state of charge for electric vehicles using a nonlinear state observer
CN115097314A (zh) 一种基于迭代法电动车电池soc精度修正方法及系统
CN115128474A (zh) 一种动力电池soc估算方法、系统、设备及存储介质
Gholizadeh et al. SOC estimation for a lithium-ion battery by designing a nonlinear observer based on an equivalent circuit model

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
GR01 Patent grant
GR01 Patent grant