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Open AccessArticle

State of Charge Estimation for Lithium-Ion Batteries Based on Temperature-Dependent Second-Order RC Model

1
State Key Laboratory of Mechanical Transmissions, School of Automotive Engineering, Chongqing University, Chongqing 400044, China
2
Chongqing Changan Automobile Co., Ltd., Chongqing 400023, China
*
Authors to whom correspondence should be addressed.
Electronics 2019, 8(9), 1012; https://doi.org/10.3390/electronics8091012
Received: 19 August 2019 / Revised: 5 September 2019 / Accepted: 7 September 2019 / Published: 10 September 2019
Accurate estimation of battery state of charge (SOC) is of great significance for extending battery life, improving battery utilization, and ensuring battery safety. Aiming to improve the accuracy of SOC estimation, in this paper, a temperature-dependent second-order RC equivalent circuit model is established for lithium-ion batteries, based on the battery electrical characteristics at different ambient temperatures. Then, a dual Kalman filter algorithm is proposed to estimate the battery SOC, using the proposed equivalent circuit model. The SOC estimation results are compared with the SOC value obtained from experiments, and the estimation errors under different temperature conditions are found to be within ±0.4%. These results prove that the proposed SOC estimation algorithm, based on a temperature-dependent second-order RC equivalent circuit model, provides accurate SOC estimation performance with high temperature adaptability and robustness. View Full-Text
Keywords: lithium-ion battery; temperature-dependent second-order RC model; SOC estimation; dual Kalman filter lithium-ion battery; temperature-dependent second-order RC model; SOC estimation; dual Kalman filter
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MDPI and ACS Style

Xu, Y.; Hu, M.; Fu, C.; Cao, K.; Su, Z.; Yang, Z. State of Charge Estimation for Lithium-Ion Batteries Based on Temperature-Dependent Second-Order RC Model. Electronics 2019, 8, 1012.

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