A Review of Equivalent Model-Based State of Charge Estimation Algorithms of Lithium-Ion Battery
TANG Diyin1， WANG Yufu1， ZHENG Wenjian1，
HUANG Xucong1， XING Yalan2
1. School of Automation Science and Electrical Engineering， Beihang University， Beijing 100191， China；
2. School of Materials Science and Engineering， Beihang University， Beijing 100191， China
Abstract：Due to their high energy density and long life, Lithium-ion batteries are widely applied in fields such as
aerospace and smart driving. Accurate estimation of the state of charge (SOC) of a battery is critical. In recent years,
SOC estimation methods based on battery equivalent models have been widely used because oftheir advantages of
accurate estimation and easy understanding. This paper has elaborated on the classification of battery equivalent
models, SOC estimation algorithms, and factors affecting SOC estimation from three aspects. Firstly, the common
types of battery models and their characteristics were analyzed; secondly, the commonly used SOC estimation
techniques based on battery models were reviewed; finally, the factors affecting the accuracy of SOC estimation and
possible solutions were analyzed. The summary of this paper provides references for future research.
唐荻音, 王预夫, 郑文健, 黄旭聪, 邢雅兰. 基于等效模型的锂离子电池荷电状态估计算法综述[J]. 空天防御, 2024, 7(6): 104-111.
TANG Diyin, WANG Yufu, ZHENG Wenjian, HUANG Xucong, XING Yalan. A Review of Equivalent Model-Based State of Charge Estimation Algorithms of Lithium-Ion Battery. Air & Space Defense, 2024, 7(6): 104-111.
