A new method of unscented particle filter for high-fidelity lithium-ion battery SOC estimation

doi:10.19799/j.cnki.2095-4239.2020.0357

Abstract

Abstract:

Power lithium-ion battery is one of the core "three-power" systems of new energy vehicles. Its accurate battery modeling and state prediction can ensure the safe start and stable operation of battery management systems. With a ternary lithium-ion battery as the research object, the Thevenin equivalent circuit model is constructed. On the basis of the traditional particle filter (PF), the appropriate recommended density function is selected, and an unscented PF (UPF) with a more precise calculation of the mean and variance is proposed to solve particle depletion and detect the state of charge (SOC) of lithium-ion batteries. The method further improves the theoretical analysis and studies the working characteristics of lithium-ion batteries in combination with experiments under different conditions. The results show that when UPF predicts the lithium-ion battery SOC, the system robustness is improved, the follow-up effect is better, and the prediction error is stably controlled within 1.5%, which brings good practical value to the power battery.

Key words: ternary lithium-ion battery, Thevenin model, state of charge, suggested density function, unscented particle filter algorithm

CLC Number:

Yanxin XIE, Shunli WANG, Weihao SHI, Xin XIONG, Xianpei CHEN. A new method of unscented particle filter for high-fidelity lithium-ion battery SOC estimation[J]. Energy Storage Science and Technology, 2021, 10(2): 722-731.

Figures/Tables 12

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SOC/%	U_OCV/V	R₀/Ω	R_P/Ω	C_P/F
100	4.1877	0.00124	0.000385571	21503.14931
90	4.0535	0.00125	0.000414714	19570.0999
80	3.9363	0.00125	0.000458429	18286.38205
70	3.8268	0.00124	0.000463714	18328.09612
60	3.7406	0.00124	0.000454286	18303.45912
50	3.6504	0.00125	0.000321	25476.63551
40	3.6151	0.00127	0.000310857	24483.91544
30	3.5863	0.0013	0.000335571	23470.41294
20	3.5270	0.00134	0.000405286	20775.46704
10	3.4486	0.00142	0.000648714	11952.87382

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