Development and Application of a Galvanostatic Electrochemical Impedance Spectroscopy Analyzer Applied for Estimating the State of Charge of Lithium Batteries
Instrument development and application|更新时间:2025-02-12
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Development and Application of a Galvanostatic Electrochemical Impedance Spectroscopy Analyzer Applied for Estimating the State of Charge of Lithium Batteries
Journal of Instrumental AnalysisVol. 44, Issue 2, Pages: 369-377(2025)
YUAN Jian-ying,ZOU Ming-jia,ZHAO Jie,HUANG Yang-chun,YU Yao-guang,CUI Guo-feng.Development and Application of a Galvanostatic Electrochemical Impedance Spectroscopy Analyzer Applied for Estimating the State of Charge of Lithium Batteries[J].Journal of Instrumental Analysis,2025,44(02):369-377.
YUAN Jian-ying,ZOU Ming-jia,ZHAO Jie,HUANG Yang-chun,YU Yao-guang,CUI Guo-feng.Development and Application of a Galvanostatic Electrochemical Impedance Spectroscopy Analyzer Applied for Estimating the State of Charge of Lithium Batteries[J].Journal of Instrumental Analysis,2025,44(02):369-377. DOI: 10.12452/j.fxcsxb.24050614.
Development and Application of a Galvanostatic Electrochemical Impedance Spectroscopy Analyzer Applied for Estimating the State of Charge of Lithium Batteries
In this paper,a high-power-density compact galvanostatic electrochemical impedance spectroscopy(GEIS) measuring instrument for lithium batteries is developed. It offers the advantages of high integration,high accuracy,large output excitation and wide range of test frequency to meet the requirements of different lithium battery GEIS tests. After the overall schematic design of the instrument is completed,the hardware system modules are thoroughly tested to ensure the reliability and accuracy of the system. Through the GEIS test on the actual 18650 lithium batteries and comparing the results with the professional instrument Gamry Reference 600+,both sets of results indicate that the relative impedance modulus error and the absolute phase error of this instrument are no more than 2% and 3°,respectively. In order to validate the battery state of charge(SOC) estimation algorithm proposed in this paper,the instrument was used to test actual battery samples,resulting in a total of 60 sets of impedance spectral data from lithium batteries at various SOCs. Using the impedance spectrum data as the input for Gaussian process regression(GPR),the estimation of SOC of lithium batteries can be achieved with an average absolute error of 3.9%. The lithium battery GEIS meter developed in this paper is expected to be integrated into the battery management system,thereby furnishing a real-time data source for impedance spectrum-based lithium battery state estimation algorithms. This integration is intended to facilitate a more comprehensive monitoring of the operational state of lithium batteries.
关键词
电流型电化学阻抗谱荷电状态估计阻抗谱测试锂电池高斯过程回归
Keywords
galvanostatic electrochemical impedance spectroscopystate of charge estimationimpedance spectrum testlithium batteryGaussian process regression
references
Li Z Y,Lu R H,Yu Q H,Yan F W. Automot. Eng. (李致远,鲁锐华,余庆华,颜伏伍. 汽车工程),2024,46(1):139-150.
Jones P K,Stimming U,Lee A A. Nat. Commun.,2022,13:4806.
Chen N,Zhang P,Dai J Y,Gui W H. IEEE Access,2020,8:26872-26884.
Carthy K M,Gullapalli H,Ryan K M,Kennedy T. J. Electrochem. Soc.,2021,168:080517.
Luo K,Zheng H R,Shi Z C. J. Power Sources,2023,576:233139.
Ge M F,Liu Y B,Jiang X X,Liu J. Measurement,2021,174:109057.
Galatro D,Silva C D,Romero D A,Gong Z,Trescases O,Amon C H. Energy Technol.-Ger.,2022,10(4):2100942.
Luo K,Chen X,Zheng H R,Shi Z C. J. Energy Chem.,2022,74:159-173.
Wang Y J,Tian J Q,Sun Z D,Wang L,Xu R L,Li M,Chen Z H. Renew. Sust. Energy Rev.,2020,131:110015.
Islam S M R,Park S Y. IEEE Trans. Ind. Appl.,2020,56(2):1661-1669.
Angelis A D,Buchicchio E,Santoni F,Moschitta A,Carbone P. IEEE Trans. Instrum. Meas.,2022,71:1002609.
Yang H,Zhang C,Liu S Z,Xu Z C,Chen Z Q. Adv. Technol. Electr. Eng. Energy(杨浩,张闯,刘素贞,徐志成,陈占群. 电工电能新技术),2024,43(1):61-71.
Ko Y,Hwang C,Song H. J. Power Sources,2016,315(31):145-151.
Batista D S,Granziera F,Tosin M C,de Melo L F. Measurement,2023,207:112404.
Zhou Y,Dong G Z,Tan Q Q,Han X Y,Chen C L,Wei J W. Energy,2023,262:125514.
Jiang B,Zhu J G,Wang X Y,Wei X Z,Shang W L,Dai H F. Appl. Energy,2022,322(15):119502.
Zhuang Q C,Yang Z,Zhang L,Cui Y H. Prog. Chem. (庄全超,杨梓,张蕾,崔艳华. 化学进展),2020,32(6):761-791.
Osaka T,Momma T,Mukoyama D,Nara H. J. Power Sources,2012,205(1):483-486.
Zhang Q,Wang D F,Yang B W,Dong H S,Zhu C,Hao Z W. J. Energy Storage,2022,50:104182.
Kong L Q,Fang S D,Niu T,Chen G H,Yang L J,Liao R J. IEEE Trans. Ind. Appl.,2024,60(1):1369-1379.
Charbonneau V,Lasia A,Brisard G. J. Electroanal. Chem.,2020,875(15):113944.
Gantenbein S,Weiss M,Ivers-Tiffée E. J. Power Sources,2018,379(1):317-327.
Zhang Y W,Tang Q C,Zhang Y,Wang J B,Stimming U,Lee A A. Nat. Commun.,2020,11:1706.