@article{947f35fe55964ebc939fa46af97a56c2,
title = "Research on the output characteristics and SOC estimation method of lithium-ion batteries over a wide range of operating temperature conditions",
abstract = "With the rapid growth of the EV market, the use of lithium-ion batteries (LIBs) has increased significantly. However, the safety of these battery systems remains a concern. Accurate estimation of the state of charge (SOC) is crucial to enhance battery safety and longevity. In this paper, the impact of temperature on LIB performance is investigated and it is found that temperature variations can lead to inaccurate SOC estimation. To address this issue, LIB performance and capacity degradation at different operating temperatures are experimentally studied, and Electrochemical impedance spectroscopy (EIS) characteristics are analyzed. Based on the analysis results, an SOC estimation method, combining recursive least squares with forgetting factor (FFRLS) and adaptive extended Kalman filtering (AEKF) with temperature compensation, is proposed in the study. This method is tested respectively at 0 °C, 25 °C and 45 °C, demonstrating the feasibility and higher prediction accuracy of the proposed method across a wide temperature range.",
keywords = "Lithium-ion battery, Electric vehicle, SOC, FFRLS-AEKF",
author = "Xiong Shu and Yongjing Li and Kexiang Wei and Wenxian Yang and Bowen Yang and Ming Zhang",
note = "Funding Information: The authors declare the following financial interests/personal relationships which may be considered as potential competing interests:Xiong Shu reports financial support was provided by National Natural Science Foundation of China. If there are other authors, they declare that they have no known competing financial interests or personal relationships that could have appeared to influence the work reported in this paper.The authors gratefully acknowledge the National Key Research and Development Foundation under (Grant No. 2022YFB3403200), the National Natural Science Foundation of China (Grant No. 52205149), the Science and Technology innovation Program of Hunan Province (Grant No. 2023GK2038), the Scientific Research Foundation of Hunan Provincial Education Department (Grant No. 24B0679), hunan Institute of Engineering graduate research innovation project (Grant No. YC202418), University of Maryland's Center for Advanced Life Cycle Engineering. Funding Information: The authors gratefully acknowledge the National Key Research and Development Foundation under (Grant No. 2022YFB3403200), the National Natural Science Foundation of China (Grant No. 52205149), and the Science and Technology Foundation of Hunan Province (Grant No. 2023GK2038), Hunan Institute of Engineering graduate research innovation project (Grant No. YC202418) ,University of Maryland's Center for Advanced Life Cycle Engineering. Publisher Copyright: {\textcopyright} 2025 The Authors",
year = "2025",
month = feb,
day = "15",
doi = "10.1016/j.energy.2025.134726",
language = "English",
volume = "317",
journal = "Energy",
issn = "0360-5442",
publisher = "Elsevier Limited",
}
