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基于电动汽车锂电池的SOC动态估算策略

华贵山 倪受春 林其斌

电测与仪表Issue(2):58-62,5.
电测与仪表Issue(2):58-62,5.

基于电动汽车锂电池的SOC动态估算策略

A Strategy of Dynamic Estimating State of Charge Based on Li-Ion Battery of Electric Vehicles

华贵山 1倪受春 1林其斌1

作者信息

  • 1. 滁州学院机械与电子工程学院,安徽滁州239000
  • 折叠

摘要

Abstract

A state space model of a Li cell is proposed based on Thevenin model. The battery parameters always change in the actual operation, so the recursive least square method is chosen to identify the parameters on-line so as to make real-time correction and enhance the adaptability of the system. To overcome the weaknesses of EKF, a new estimation method is put forward based on UKF (Unscented Kalman Filtering) to estimate SOC of Li-ion battery. Experiments are made to compare the performance with the new filter to that with EKF. The result demonstrates that UKF achieve higher filtering accuracy under the same conditions.

关键词

电池模型/荷电状态(SOC)/EKF/UKF

Key words

battery model/SOC/EKF/UKF

分类

信息技术与安全科学

引用本文复制引用

华贵山,倪受春,林其斌..基于电动汽车锂电池的SOC动态估算策略[J].电测与仪表,2014,(2):58-62,5.

基金项目

滁州学院自然科学研究项目基金(No.2010kj013B) (No.2010kj013B)

电测与仪表

OA北大核心

1001-1390

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