Battery cell state-of-charge estimation using linear parameter varying system techniques
作者: Y. HuS. Yurkovich
作者单位: 1The Ohio State University, United States
2University of Texas at Dallas, United States
刊名: Journal of Power Sources, 2011, Vol.198 , pp.338-350
来源数据库: Elsevier Journal
DOI: 10.1016/j.jpowsour.2011.09.058
关键词: Lithium ion batteriesSoC estimationState estimatorLinear parameter varying systems
英文摘要: Abstract(#br)This paper describes a model based method for real time battery cell state-of-charge (SoC) estimation using linear parameter varying (LPV) system techniques. For this class of methods, the applicable structure is one in which the input to output dynamics of the battery can be described by a discrete parameter varying state variable model that includes the SoC as a state. Within this context, the problem of state-of-charge estimation is viewed as a state estimation problem, so that a state estimator is designed using the model. An LPV system technique, combined with input to state stability criteria, is used to analyze the stability and performance of the estimator. Compared with algorithms available in the current literature, such as those employing an extended Kalman filter...
全文获取路径: Elsevier  (合作)
影响因子:4.675 (2012)

  • Battery 电池
  • charge 电荷
  • varying 变化的
  • parameter 参数
  • estimation 估计
  • state 状态
  • linear 线形的
  • system