基于安时积分和无迹卡尔曼滤波的锂离子电池SOC估算方法研究

doi:10.3969/j.issn.1004-132X.2020.15.009

中国机械工程 ›› 2020, Vol. 31 ›› Issue (15): 1823-1830.DOI: 10.3969/j.issn.1004-132X.2020.15.009

基于安时积分和无迹卡尔曼滤波的锂离子电池SOC估算方法研究

丁镇涛¹, 邓涛^1,2, 李志飞¹, 尹燕莉¹

1. 重庆交通大学机电与车辆工程学院, 重庆, 400074;
2. 重庆交通大学航空学院, 重庆, 400074

收稿日期:2019-11-13 出版日期:2020-08-10 发布日期:2020-08-26
通讯作者: 邓涛(通信作者),男,1982年生,教授。研究方向为智能电动汽车理论及应用。E-mail:d82t722@cqjtu.edu.cn。
作者简介:丁镇涛,男,1994年生,硕士研究生。主要研究方向为新能源车辆理论与应用。
基金资助:
国家自然科学基金资助项目(51305473)；第五批重庆市高校优秀人才支持计划资助项目(2017)

SOC Estimation of Lithium-ion Battery Based on Ampere Hour Integral and Unscented Kalman Filter

DING Zhentao¹, DENG Tao^1,2, LI Zhifei¹, YIN Yanli¹

1. School of Mechatronics & Vehicle Engineering, Chongqing Jiaotong University, Chongqing, 400074;
2. School of Aeronautics, Chongqing Jiaotong University, Chongqing, 400074

Received:2019-11-13 Online:2020-08-10 Published:2020-08-26

摘要/Abstract

摘要： 基于Thevenin等效模型建立二阶RC等效电路模型，通过混合脉冲动力功率特性测试实验获取电池脉冲放电数据，进行电池等效电路参数辨识。为弥补锂离子电池荷电状态在90%~100%区间时电池模型参数辨识拟合误差而引起其估算误差的缺陷，综合采用安时积分与无迹卡尔曼滤波估算电池荷电状态。使用硬件在环仿真测试平台及环境模拟测试平台进行电池管理系统设计，在不同工况下对电池进行荷电状态估算，结果表明荷电状态估算误差范围为-1.5%~1.0%，该方法估算精度较高，效果理想。

关键词: 锂离子电池, 电池荷电状态估算, 二阶RC, 无迹卡尔曼滤波, 硬件在环

Abstract: Based on Thevenin equivalent model, the second-order RC equivalent circuit model was established. The pulse discharge data of battery were obtained by the tests of hybrid pulse power characteristics, and the parameters of battery equivalent circuit were identified. In order to make up the fitting errors of battery model parameter identification when the SOC of lithium-ion batteries was in the range of 90% to 100%, ampere hour integral and UKF were used comprehensively to estimate battery's SOC. Battery management system was designed by using HIL test platform and environmental simulation test platform. The results of SOC estimation of batteries under different operating conditions show that the estimation errors of SOC are from -1.5% to 1.0%. This method has relatively high accuracy and good effectiveness.

Key words: lithium-ion battery, state-of-charge (SOC) estimation, second-order RC, unscented Kalman filter (UKF), hardware-in-the-loop (HIL)

中图分类号:

U469.72

丁镇涛, 邓涛, 李志飞, 尹燕莉. 基于安时积分和无迹卡尔曼滤波的锂离子电池SOC估算方法研究[J]. 中国机械工程, 2020, 31(15): 1823-1830.

DING Zhentao, DENG Tao, LI Zhifei, YIN Yanli. SOC Estimation of Lithium-ion Battery Based on Ampere Hour Integral and Unscented Kalman Filter[J]. China Mechanical Engineering, 2020, 31(15): 1823-1830.

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基于安时积分和无迹卡尔曼滤波的锂离子电池SOC估算方法研究

SOC Estimation of Lithium-ion Battery Based on Ampere Hour Integral and Unscented Kalman Filter

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