CN107024664B - 基于恒流充电片段的锂电池剩余寿命快速预测法 - Google Patents
基于恒流充电片段的锂电池剩余寿命快速预测法 Download PDFInfo
- Publication number
- CN107024664B CN107024664B CN201710214331.9A CN201710214331A CN107024664B CN 107024664 B CN107024664 B CN 107024664B CN 201710214331 A CN201710214331 A CN 201710214331A CN 107024664 B CN107024664 B CN 107024664B
- Authority
- CN
- China
- Prior art keywords
- voltage
- charging
- charge
- data
- lithium ion
- 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.)
- Active
Links
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
- G01R31/3835—Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
Abstract
Description
Claims (3)
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710214331.9A CN107024664B (zh) | 2017-04-01 | 2017-04-01 | 基于恒流充电片段的锂电池剩余寿命快速预测法 |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN201710214331.9A CN107024664B (zh) | 2017-04-01 | 2017-04-01 | 基于恒流充电片段的锂电池剩余寿命快速预测法 |
Publications (2)
Publication Number | Publication Date |
---|---|
CN107024664A CN107024664A (zh) | 2017-08-08 |
CN107024664B true CN107024664B (zh) | 2019-04-12 |
Family
ID=59527748
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN201710214331.9A Active CN107024664B (zh) | 2017-04-01 | 2017-04-01 | 基于恒流充电片段的锂电池剩余寿命快速预测法 |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN107024664B (zh) |
Families Citing this family (8)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
KR102291133B1 (ko) * | 2018-03-07 | 2021-08-20 | 주식회사 엘지화학 | 배터리 수명 예측 장치 및 방법 |
CN109188303B (zh) * | 2018-08-13 | 2021-11-23 | 莱茵技术监护(深圳)有限公司 | 快充系统测试方法、设备及存储介质 |
CN109444762B (zh) * | 2018-10-28 | 2021-01-08 | 北京工业大学 | 一种基于数据融合的锂离子电池健康状态估计方法 |
CN110515001B (zh) * | 2019-09-07 | 2020-12-29 | 创新奇智(广州)科技有限公司 | 一种基于充放电的两阶段电池性能预测方法 |
CN111289900A (zh) * | 2020-02-21 | 2020-06-16 | 浙江捷创智能技术有限公司 | 一种锂电池放电电压的函数拟合预测方法 |
CN112462286A (zh) * | 2020-10-13 | 2021-03-09 | 中车长春轨道客车股份有限公司 | 一种基于能量对锂电池健康状态的估计方法 |
CN112858918B (zh) * | 2021-01-15 | 2022-10-28 | 长沙理工大学 | 基于优化多因子的动力锂离子电池健康状态在线估计方法 |
CN113900033B (zh) * | 2021-09-23 | 2022-07-08 | 浙江大学 | 基于充电数据空间分布特征的锂电池在线寿命预测方法 |
Family Cites Families (6)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US9442165B2 (en) * | 2012-07-07 | 2016-09-13 | Nec Corporation | Method for estimating battery life in presence of partial charge and discharge cycles |
WO2014132332A1 (ja) * | 2013-02-26 | 2014-09-04 | 株式会社 日立製作所 | 劣化推定装置及び劣化推定方法 |
CN103308864B (zh) * | 2013-07-09 | 2015-06-24 | 中国人民解放军国防科学技术大学 | 二次电池soh值估算和剩余寿命测试方法 |
CN103778280B (zh) * | 2014-01-08 | 2016-07-06 | 上海交通大学 | 具有模型主动更新策略的锂离子电池剩余寿命预测方法 |
CN105116337B (zh) * | 2015-06-30 | 2017-10-27 | 中国人民解放军国防科学技术大学 | 一种锂离子电池满电荷存储寿命评价方法 |
CN106405427A (zh) * | 2016-08-29 | 2017-02-15 | 哈尔滨理工大学 | 基于神经网络与Maternard核函数GPR的锂电池健康状态预测方法 |
-
2017
- 2017-04-01 CN CN201710214331.9A patent/CN107024664B/zh active Active
Also Published As
Publication number | Publication date |
---|---|
CN107024664A (zh) | 2017-08-08 |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107024664B (zh) | 基于恒流充电片段的锂电池剩余寿命快速预测法 | |
CN107015158B (zh) | 基于恒流放电片段的锂电池剩余寿命在线快速检测法 | |
CN107015157B (zh) | 基于恒流等压升片段的锂电池剩余循环寿命在线快速测试法 | |
CN106291372B (zh) | 一种新的锂离子动力电池剩余寿命预测方法 | |
CN105789716B (zh) | 一种广义电池管理系统 | |
CN103985917B (zh) | 一种锂电池低温充放电方法 | |
CN106885994B (zh) | 基于恒压充电片段的锂电池剩余寿命快速检测法 | |
CN103728563B (zh) | 一种电池健康状态的测算方法 | |
CN103336248B (zh) | 基于电池退化状态模型的锂离子电池循环寿命预测方法 | |
CN103785629B (zh) | 一种梯次利用锂电池筛选成组方法 | |
CN104617330B (zh) | 电池微短路的识别方法 | |
CN108445406A (zh) | 一种动力电池健康状态估计方法 | |
CN107390127A (zh) | 一种soc估算方法 | |
CN108872869B (zh) | 一种基于bp神经网络的锂离子电池劣化分类方法 | |
CN107765190A (zh) | 一种长寿命快充型磷酸铁锂电池的寿命预测方法 | |
CN107192956B (zh) | 一种电池短路漏液在线监测方法和装置 | |
CN102253343A (zh) | 一种蓄电池的健康度与荷电状态的估算方法 | |
CN106169623B (zh) | 一种离线计算动力锂离子电池剩余容量的方法及系统 | |
CN107069122A (zh) | 一种动力电池剩余使用寿命的预测方法 | |
CN108732499B (zh) | 一种检测锂离子电池循环寿命的方法和系统 | |
CN108417917A (zh) | 一种锂离子电池快速充电方法 | |
CN106515480B (zh) | 一种基于车联网大数据技术的汽车蓄电池智能监控方法 | |
CN111487532B (zh) | 一种基于层次分析法和熵值法的退役电池筛选方法及系统 | |
Hu et al. | Study on SOC estimation of lithium battery based on improved BP neural network | |
Liu et al. | An online SOH estimation method based on the fusion of improved ICA and LSTM |
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 | ||
TR01 | Transfer of patent right |
Effective date of registration: 20210111 Address after: 410100 Room 102, building B49, Jinke Yida science and Technology City, No.77, south section of Dongliu Road, Changsha Economic and Technological Development Zone, Changsha City, Hunan Province Patentee after: Hunan ginkgo Battery Intelligent Management Technology Co.,Ltd. Address before: 410100 Room 102, building A.D. 1, Depu enterprise, No.1 luoxitang Road, Changsha Economic and Technological Development Zone, Changsha City, Hunan Province Patentee before: HUNAN GINKGO DATA TECHNOLOGY Co.,Ltd. |
|
TR01 | Transfer of patent right | ||
PE01 | Entry into force of the registration of the contract for pledge of patent right |
Denomination of invention: Fast prediction method of residual life of lithium battery based on constant current charging segment Effective date of registration: 20211008 Granted publication date: 20190412 Pledgee: Bank of Changsha Co.,Ltd. Yinde sub branch Pledgor: Hunan ginkgo Battery Intelligent Management Technology Co.,Ltd. Registration number: Y2021980010283 |
|
PE01 | Entry into force of the registration of the contract for pledge of patent right |