Parameter identification and state-of-charge estimation approach for enhanced lithium-ion battery equivalent circuit model considering influence of ambient temperatures

doi:10.1088/1674-1056/ab3af5

Abstract It is widely accepted that the variation of ambient temperature has great influence on the battery model parameters and state-of-charge (SOC) estimation, and the accurate SOC estimation is a significant issue for developing the battery management system in electric vehicles. To address this problem, in this paper we propose an enhanced equivalent circuit model (ECM) considering the influence of different ambient temperatures on the open-circuit voltage for a lithium-ion battery. Based on this model, the exponential-function fitting method is adopted to identify the battery parameters according to the test data collected from the experimental platform. And then, the extended Kalman filter (EKF) algorithm is employed to estimate the battery SOC of this battery ECM. The performance of the proposed ECM is verified by using the test profiles of hybrid pulse power characterization (HPPC) and the standard US06 driving cycles (US06) at various ambient temperatures, and by comparing with the common ECM with a second-order resistance capacitor. The simulation and experimental results show that the enhanced battery ECM can improve the battery SOC estimation accuracy under different operating conditions.

Keywords: lithium-ion battery parameter identification state of charge ambient temperature

Received: 29 May 2019
Revised: 24 July 2019
Accepted manuscript online:

PACS:	82.47.Aa	(Lithium-ion batteries)
	07.05.Tp	(Computer modeling and simulation)
	88.85.Hj	(Electric vehicles (EVs))

Fund: Project supported by the National Natural Science Foundation of China (Grant No. 51675423).

Corresponding Authors: Hui Pang
E-mail: huipang@163.com

Cite this article:

Hui Pang(庞辉), Lian-Jing Mou(牟联晶), Long Guo(郭龙) Parameter identification and state-of-charge estimation approach for enhanced lithium-ion battery equivalent circuit model considering influence of ambient temperatures 2019 Chin. Phys. B 28 108201

[1]	Xia B Z, Wang H Q, Wang M W, Sun W, Xu Z H and Lai Y Z 2015 Energies 8 13458
[2]	Xia B Z, Wang H Q, Tian Y, Wang M W, Sun W and Xu Z H 2015 Energies 8 5916
[3]	Xiong R, Gong X Z, Mi C C and Sun F C 2013 J. Power Sources 243 805
[4]	Bi J, Shao S, Guan W and Wang L 2012 Chin. Phys. B 21 118801
[5]	Qiao R X, Zhang M J, Liu Y D, Ren W J, Lin Y and Pan F 2016 Chin. Phys. Lett. 33 078201
[6]	Ye M, Guo H, Xiong R and Yang R X 2016 Energy Procedia 103 394
[7]	Rahimian S K, Rayman S and White R E 2012 J. Electrochem. Soc. 159 A860
[8]	Pang H and Zhang X 2018 Acta Phys. Sin. 67 228201 (in Chinese)
[9]	Sturm J, Ennifar H, Erhard S V, Rheinfeld A, Kosch S and Jossen A 2018 Appl. Energ. 223 103
[10]	Fan G D, Pan K, Canova M, Marcicki J and Yang X G 2016 J. Electrochem. Soc. 163 A666
[11]	Zou Y, Hu X S, Ma H M and Li S E 2015 J. Power Sources 273 793
[12]	He H W, Xiong R and Guo H Q 2012 Appl. Energ. 89 413
[13]	Zheng H, Liu X and Wei M 2015 Chin. Phys. B 24 098801
[14]	Lin X F and Stefanopoulou A G 2015 J. Electrochem. Soc. 162 A1879
[15]	Perez H E, Dey S, Hu X and Moura S J 2017 J. Electrochem. Soc. 164 A1679
[16]	Li J, Adewuyi K, Lotfi N, Landers R G and Park J 2018 Appl. Energ. 212 1178
[17]	Han X B, Ouyang M G, Lu L G and Li J Q 2015 J. Power Sources 278 802
[18]	Hu X S, Li S B and Peng H 2012 J. Power Sources 198 359
[19]	Lee K T, Dai M J and Chuang C C 2018 IEEE Trans. Ind. Electron. 65 589
[20]	Liu X T, Chen Z H, Zhang C B and Wu J 2014 Appl. Energ. 123 263
[21]	Feng F, Lu R G and Zhu C B 2014 Energies 7 3004
[22]	Luo M J, Guo Y Z, Kang J Q, She L Y and Geng Z C 2018 Ionics 24 1
[23]	Rui X H, Jin Y, Feng X Y, Zhang L C and Chen C H 2011 J. Power Sources 196 2109
[24]	Xing Y J, He W, Pecht M and Tsui K L 2014 Appl. Energ. 113 106
[25]	Yang S C, Deng C, Zhang Y L and He Y L 2017 Energies 10 14
[26]	Wu X G, Li X F and Du J Y 2018 IEEE Access 6 41993
[27]	Zhang R F, Xia B Z, Li B H, Cao L B, Lai Y Z, Zhang W W, Zhang H W, Wang W and Wang M W 2018 Energies 11 2408
[28]	Belt J R 2010 Fuel Cells (Idaho Falls: Lab. Idaho Natl.)
[29]	Pang H and Zhang F Q 2018 Energies 11 14
[30]	Tian Y, Chen C R, Xia B Z, Sun W, Xu Z H and Zheng W W 2014 Energies 7 5995
[31]	Xia B Z, Zheng W H, Zhang R F, Lao Z Z and Sun Z 2017 Energies 10 20
[32]	Dai H F, Wei X Z and Sun Z C 2013 J. Comput. Theor. Nanosci. 10 2813
[33]	Li W L, Liang L L Y, Liu W J and Wu X H 2017 IEEE Trans. Ind. Electron. 64 8557
[34]	Han J, Kim D and Sunwoo M 2009 J. Power Sources 188 606
[35]	Zhang F, Liu G J, Fang L J and Wang H G 2012 IEEE Trans. Ind. Electron. 59 1086

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Parameter identification and state-of-charge estimation approach for enhanced lithium-ion battery equivalent circuit model considering influence of ambient temperatures

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