中国科学院机构知识库网格
Chinese Academy of Sciences Institutional Repositories Grid
Quantitative Analysis of Lithium-Ion Battery Capacity Prediction via Adaptive Bathtub-Shaped Function

文献类型:期刊论文

作者Chen, Yi1; Miao, Qiang2; Zheng, Bin3; Wu, Shaomin4; Pecht, Michael5
刊名ENERGIES
出版日期2013-06-01
卷号6期号:6页码:3082-3096
关键词remaining useful life battery capacity lithium-ion batteries adaptive bathtub-shaped function mean average precision mean standard deviation swarm fish algorithm
ISSN号1996-1073
DOI10.3390/en6063082
通讯作者Zheng, B (reprint author), Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 401120, Peoples R China.
英文摘要Batteries are one of the most important components in many mechatronics systems, as they supply power to the systems and their failures may lead to reduced performance or even catastrophic results. Therefore, the prediction analysis of remaining useful life (RUL) of batteries is very important. This paper develops a quantitative approach for battery RUL prediction using an adaptive bathtub-shaped function (ABF). ABF has been utilised to model the normalised battery cycle capacity prognostic curves, which attempt to predict the remaining battery capacity with given historical test data. An artificial fish swarm algorithm method with a variable population size (AFSAVP) is employed as the optimiser for the parameter determination of the ABF curves, in which the fitness function is defined in the form of a coefficient of determination (R-2). A 4 x 2 cross-validation (CV) has been devised, and the results show that the method can work valuably for battery health management and battery life prediction.
资助项目National Natural Science Foundation of China[61179059] ; National Natural Science Foundation of China[51105061] ; National Natural Science Foundation of China[50905028] ; Scientific Research Foundation for the Returned Overseas Chinese Scholars ; State Education Ministry[201294001] ; Program for New Century Excellent Talents in University[NCET-11-0063]
WOS研究方向Energy & Fuels
语种英语
WOS记录号WOS:000320773700021
出版者MDPI AG
源URL[http://119.78.100.138/handle/2HOD01W0/438]  
专题机器人与3D打印技术创新中心
通讯作者Zheng, Bin
作者单位1.Glasgow Caledonian Univ, Sch Engn & Built Environm, Glasgow G4 0BA, Lanark, Scotland
2.Univ Elect Sci & Technol China, Sch Mechatron Engn, Chengdu 611731, Peoples R China
3.Chinese Acad Sci, Chongqing Inst Green & Intelligent Technol, Chongqing 401120, Peoples R China
4.Univ Kent, Kent Business Sch, Canterbury CT2 7PE, Kent, England
5.Univ Maryland, Ctr Adv Life Cycle Engn, College Pk, MD 20742 USA
推荐引用方式
GB/T 7714
Chen, Yi,Miao, Qiang,Zheng, Bin,et al. Quantitative Analysis of Lithium-Ion Battery Capacity Prediction via Adaptive Bathtub-Shaped Function[J]. ENERGIES,2013,6(6):3082-3096.
APA Chen, Yi,Miao, Qiang,Zheng, Bin,Wu, Shaomin,&Pecht, Michael.(2013).Quantitative Analysis of Lithium-Ion Battery Capacity Prediction via Adaptive Bathtub-Shaped Function.ENERGIES,6(6),3082-3096.
MLA Chen, Yi,et al."Quantitative Analysis of Lithium-Ion Battery Capacity Prediction via Adaptive Bathtub-Shaped Function".ENERGIES 6.6(2013):3082-3096.

入库方式: OAI收割

来源:重庆绿色智能技术研究院

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