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基于温变RC模型与SMFEKF算法的电池SOC估计

程贤福 李晓静 刘霏霏 曾建邦

湖南大学学报(自然科学版)2024,Vol.51Issue(12):57-66,10.
湖南大学学报(自然科学版)2024,Vol.51Issue(12):57-66,10.DOI:10.16339/j.cnki.hdxbzkb.2024251

基于温变RC模型与SMFEKF算法的电池SOC估计

Battery SOC Estimation Based on Temperature-dependent RC Model and SMFEKF Algorithm

程贤福 1李晓静 1刘霏霏 1曾建邦1

作者信息

  • 1. 华东交通大学 载运工具与装备教育部重点实验室,江西 南昌 330013
  • 折叠

摘要

Abstract

To meet the requirements of SOC estimation accuracy and robustness,a temperature-dependent second-order RC equivalent circuit model is established,taking a lithium-ion battery cell as the study object and considering the effects of temperature change on open-circuit voltage,polarization resistance,polarization capacitance,and capacity.Simulation results show that the model has higher accuracy than the second-order RC model.Based on this model,the extended Kalman filter algorithm with multiple suboptimal fading factor is used to estimate SOC.The results show that the root mean square error of SOC estimation of the SMFEKF algorithm based on the variable temperature model and the constant temperature model is reduced by 42.7%and 48.2%,respectively,compared with the EKF algorithm under variable temperature conditions,which can ensure strong robustness of estimation results.The maximum relative error and root mean square error of SOC estimation results based on the variable temperature model are smaller than those of the constant temperature model under the DST condition in the variable temperature environment,which proves that the model has strong temperature adaptability and can have higher estimation accuracy under the variable temperature condition.

关键词

锂电池/荷电状态/次优渐消因子/温变等效电路模型/SMFEKF算法

Key words

lithium battery/state of charge/suboptimal fading factor/temperature-dependent equivalent circuit model/SMFEKF algorithm

分类

交通工程

引用本文复制引用

程贤福,李晓静,刘霏霏,曾建邦..基于温变RC模型与SMFEKF算法的电池SOC估计[J].湖南大学学报(自然科学版),2024,51(12):57-66,10.

基金项目

国家自然科学基金资助项目(52265031,51765019),National Natural Science Foundation of China(52265031,51765019) (52265031,51765019)

江西省自然科学基金重点项目(20242BAB26068),Natural Science Foundation of Jiangxi Province(20242BAB26068) (20242BAB26068)

江西省重点研发计划项目(20232BBE5008),Key Research and Development Program of Jiangxi Province(20232BBE5008) (20232BBE5008)

湖南大学学报(自然科学版)

OA北大核心CSTPCD

1674-2974

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