考虑环境温度影响的锂离子电池改进双极化模型及其荷电状态估算

doi:10.19595/j.cnki.1000-6753.tces.200174

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摘要建立准确合理的锂离子电池数学模型,精确估算锂离子电池（LIB）终端电压及荷电状态（SOC）对于开发高效实用的电池管理系统十分重要。首先,该文建立一种改进的环境温度依赖的锂离子电池双极化（DP）模型。然后,基于锂离子电池的动态实验数据,利用遗忘因子最小二乘法（FFLS）对该锂离子电池模型关键参数进行辨识,并将其拟合为环境温度的连续函数。同时,根据扩展卡尔曼滤波（EKF）算法,提出一种适用于不同环境温度的锂离子电池荷电状态估计方法。最后,采用-10℃、20℃和50℃下动态压力测试（DST）和US06循环工况的实验数据,对该文的锂离子电池模型进行仿真分析和验证。结果表明,该文提出的改进DP模型能够准确反映环境温度对模型参数的影响,且在电池终端电压和SOC估算方面具有较高的精度和较宽的温度适用范围。

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	庞辉
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	刘凯

关键词 ：锂离子电池, 环境温度, 等效电路模型, 模型参数, 荷电状态

Abstract：It is very crucial to develop an efficient and practical battery management system by establishing an accurate and reasonable Li-ion battery (LIB) mathematical model to estimate battery terminal voltage and state-of-charge (SOC) with higher precision. This paper firstly builds an improved Li-ion battery cell dual polarization (DP) model that is dependent on ambient temperature. Next, based on two types of Li-ion battery dynamic test data, the key parameters of this proposed DP model are identified by forgetting factor least square (FFLS) approach and fitted as the ambient temperature- dependent functions. Meanwhile, by the extended Kalman filter (EKF) algorithm, a battery SOC estimation procedure suitable for different ambient temperatures is presented. Finally, the DST and US06 cycle test data at -10℃, 20℃ and 50℃ are used to simulate and verify the proposed battery DP model and its SOC estimation. The results show that the proposed battery DP model can accurately reflect the effects of ambient temperature on the battery model parameters, and has a higher precision and a wider ambient temperature application range in estimating the battery terminal output voltage and SOC.

Key words： Li-ion battery ambient temperature equivalent circuit model model parameter state of charge (SOC)

收稿日期: 2020-02-21

PACS:

TM912

基金资助:国家自然科学基金资助项目（51675423）

通讯作者: 庞辉,男,1980年生,博士,副教授,研究方向为车辆动力学与控制理论、新能源车用动力电池/超级电容管理。E-mail:huipang@163.com

作者简介: 郭龙,男,1995年生,硕士研究生,研究方向为电池热管理及控制系统性能评价。E-mail:774249513@qq.com

引用本文:

庞辉, 郭龙, 武龙星, 晋佳敏, 刘凯. 考虑环境温度影响的锂离子电池改进双极化模型及其荷电状态估算[J]. 电工技术学报, 2021, 36(10): 2178-2189. Pang Hui, Guo Long, Wu Longxing, Jin Jiamin, Liu Kai. An Improved Dual Polarization Model of Li-Ion Battery and Its State of Charge Estimation Considering Ambient Temperature. Transactions of China Electrotechnical Society, 2021, 36(10): 2178-2189.

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