电源技术2011，Vol.35Issue(2)：192-194,3.
基于模糊卡尔曼滤波的HEV氢镍电池SOC估计
Estimation of SOC of Ni-MH batteries based on fuzzy adaptive Kalman filtering for HEV
李德东 1王振臣 1郭小星1
作者信息
- 1. 燕山大学,电院,工业计算机控制工程,河北省重点实验室,河北,秦皇岛,066004
- 折叠
摘要
Abstract
Hybrid electric vehicle (HEV) battery management system works in bad condition environment, when using the conventional Kalman filtering algorithms estimating SOC(state of charge) of batteries, the acute changes of the statistical properties of measurement noise will lead to inaccurate estimates, even divergent filtering. The estimation algorithm for SOC of Ni-MH batteries based on the fuzzy adaptive Kalman filter was used in this paper. By monitoring the filter residual and actual residual, this algorithm modified recursively the measurement noise covariance of Kalman filtering online using the fuzzy inference system (FIS) to make the covariance close to real measurement covariance gradually. Accordingly, the accuracy of the estimate system was improved. Matlab simulation and experiments were carried out. The comparison indicates that the fuzzy adaptive Kalman filtering performs well when disturbance happens.关键词
混合动力电动汽车/模糊卡尔曼滤波/氢镍电池/荷电状态Key words
HEV/ fuzzy adaptive Kalman filtering/ Ni-MH batteries/ SOC分类
信息技术与安全科学引用本文复制引用
李德东,王振臣,郭小星..基于模糊卡尔曼滤波的HEV氢镍电池SOC估计[J].电源技术,2011,35(2):192-194,3.
