Title :
Internal Resistance Identification in Vehicle Power Lithium-Ion Battery and Application in Lifetime Evaluation
Author :
Wei, Xuezhe ; Zhu, Bing ; Xu, Wei
Author_Institution :
New Clean Energy Automotive Eng. Center, Tongji Univ., Shanghai, China
Abstract :
According to the characteristic analysis of lithium-ion power battery, battery accelerate life test is carried out to obtain the relevant conclusions such as the changing trend of battery ohmic resistance in different conditions. Battery ohmic resistance is consequently set up as the Evaluation Index of lifetime. Battery ohmic resistance equivalent model is established aiming at the real-time identification of lithium-ion battery ohmic resistance. Based on this model, the real-time identification is achieved by the experimental collected data and recursive least squares algorithm. The adoption of battery ohmic resistance identification algorithm can be applied to provide some useful reference for the battery life state estimation.
Keywords :
battery powered vehicles; least squares approximations; life testing; recursive estimation; secondary cells; battery ohmic resistance; internal resistance identification; lifetime evaluation; lifetime evaluation index; recursive least squares algorithm; resistance equivalent model; vehicle power lithium-ion battery; Battery charge measurement; Battery powered vehicles; Circuit testing; Contact resistance; Current measurement; Electric resistance; Electrical resistance measurement; Polarization; Power measurement; Voltage; Equivalent model; Internal resistance; Lifetime evaluation; Lithium-ion battery;
Conference_Titel :
Measuring Technology and Mechatronics Automation, 2009. ICMTMA '09. International Conference on
Conference_Location :
Zhangjiajie, Hunan
Print_ISBN :
978-0-7695-3583-8
DOI :
10.1109/ICMTMA.2009.468