A SOC Estimation Algorithm Based on Kalman Filter Technique of HEV Batteries

摘要：

In order to estimate the state of charge(SOC) of battery pack in hybrid electric vehicleaccurately, and eliminate the accumulated error ofAmpere-hour method, a SOC estimation algorithmusing Kalman filter technique is developed. Firstthe equivalent circuit model of the battery pack isfounded, and then the dynamic state andmeasurement equations are established. Byprocessing the current and voltage data of thebattery pack collected from the real vehicle test, thealgorithm using Kalman filter technique canestimate the open circuit voltage of the battery packeffectively, and then SOC of the battery pack can becalculated. It indicates that the algorithm proposedhas much potential in the SOC estimation in HEVsthrough experiments.

关键词： Kalman filter state of charge batterymanagement system hybrid electric vehicles

作者: ZHANG Yanqin LIU Xudong ZHOU Dasen DUAN Jianmin

作者单位: College of Environmental and Energy, Beijing University of Technology, Beijing 100022 College of Electronic Information and control engineering, Beijing University of Technology, Beijing

会议类型: 国际会议

会议名称: 第七届国际测试技术研讨会

会议地点: 北京

会议语种:英文

在线出版日期: 2007-08-05（万方平台首次上网日期，不代表论文的发表时间）