Rapid prediction of the state of health of retired power batteries based on electrochemical impedance spectroscopy

被引:56
作者
Luo, Fan [1 ]
Huang, HaiHong [1 ]
Ni, LiPing [2 ]
Li, Tan [3 ]
机构
[1] Hefei Univ Technol, Sch Elect Engn & Automat, Hefei, Anhui, Peoples R China
[2] Sinoev Technol Inc, Hefei, Anhui, Peoples R China
[3] China Tower Corp Ltd, Anhui Branch, Hefei, Anhui, Peoples R China
关键词
Retired power battery; Electrochemical impedance spectroscopy; Equivalent circuit model; SOC; SOH; Rapid prediction; LITHIUM-ION BATTERY; BEHAVIOR; CHARGE; MODEL;
D O I
10.1016/j.est.2021.102866
中图分类号
TE [石油、天然气工业]; TK [能源与动力工程];
学科分类号
0807 ; 0820 ;
摘要
In order to solve the problems of long time-consuming, low accuracy and high energy consumption in detecting the state of health (SOH) of retired power batteries, a rapid prediction method of SOH based on electrochemical impedance spectroscopy (EIS) is proposed. This method realizes the rapid estimation of the SOH of retired power batteries through the mathematical model established by the constant phase element parameters in the constructed electrochemical impedance spectroscopy equivalent circuit model and the battery SOC and SOH. The verification experiment results show that using this method can greatly reduce the test time, save energy, and achieve rapid estimation of the unknown state of charge and health of the battery, and the prediction error is less than 2%.
引用
收藏
页数:8
相关论文
共 27 条
[1]   A LINEAR KRONIG-KRAMERS TRANSFORM TEST FOR IMMITTANCE DATA VALIDATION [J].
BOUKAMP, BA .
JOURNAL OF THE ELECTROCHEMICAL SOCIETY, 1995, 142 (06) :1885-1894
[2]   Experimental assessment of cycling ageing of lithium-ion second-life batteries from electric vehicles [J].
Braco, Elisa ;
San Martin, Idoia ;
Berrueta, Alberto ;
Sanchis, Pablo ;
Ursua, Alfredo .
JOURNAL OF ENERGY STORAGE, 2020, 32
[3]   A Review of Lithium-Ion Battery for Electric Vehicle Applications and Beyond [J].
Chen, Weidong ;
Liang, Jun ;
Yang, Zhaohua ;
Li, Gen .
INNOVATIVE SOLUTIONS FOR ENERGY TRANSITIONS, 2019, 158 :4363-4368
[4]   A comprehensive review on estimation strategies used in hybrid and battery electric vehicles [J].
Cuma, Mehmet Ugras ;
Koroglu, Tahsin .
RENEWABLE & SUSTAINABLE ENERGY REVIEWS, 2015, 42 :517-531
[5]   Behavior and state-of-health monitoring of Li-ion batteries using impedence spectroscopy and recurrent neural networks [J].
Eddahech, Akram ;
Briat, Olivier ;
Bertrand, Nicolas ;
Deletage, Jean-Yves ;
Vinassa, Jean-Michel .
INTERNATIONAL JOURNAL OF ELECTRICAL POWER & ENERGY SYSTEMS, 2012, 42 (01) :487-494
[6]  
Feng X, 2019, VEHICULAR TECHNOLOGY
[7]   Graphical analysis of electrochemical impedance spectroscopy data in Bode and Nyquist representations [J].
Huang, Jun ;
Li, Zhe ;
Liaw, Bor Yann ;
Zhang, Jianbo .
JOURNAL OF POWER SOURCES, 2016, 309 :82-98
[8]  
Liande Z., 2018, STUDY STATE ESTIMATI
[9]  
Locorotondo E, 2018, 2018 IEEE INT C ENV
[10]   Novel state-of-health diagnostic method for Li-ion battery in service [J].
Mingant, R. ;
Bernard, J. ;
Sauvant-Moynot, V. .
APPLIED ENERGY, 2016, 183 :390-398