Li-ion polymer battery SOC estimation using Bayesian Filtering

摘要：

Accurate state-of-charge information is of great importance for battery management system. In this paper, a novel electrical equivalent model for polymer Li-Ion battery is developed and Bayesian filtering methods are employed to estimate the SOC of Lithium-ion Polymer battery accurately.

关键词： Li-ion Polymer battery electrical equivalent model SOC estimation Bayesian filtering Sigma point Kalman filter

作者: Qi Zhao Heinz Wenzl Christian Bohn

作者单位: Institute for electrical information technology, Clausthal University of Technology, Clausthal-Zelle Institute for electrical energy technology, Clausthal University of Technology, Clausthal-Zellerfeld

会议类型: 国际会议

会议名称: The 31st Chinese Control Conference(第三十一届中国控制会议)

会议地点: 合肥

会议语种:英文

页码: 1978-1984

在线出版日期: 2012-07-01（万方平台首次上网日期，不代表论文的发表时间）