Support vector machine based battery model for electric vehicles

Author:

Junping Wang,Quanshi Chen,Binggang Cao

Funder

National High-tech Research and Development Program

Publisher

Elsevier BV

Subject

Energy Engineering and Power Technology,Fuel Technology,Nuclear Energy and Engineering,Renewable Energy, Sustainability and the Environment

Reference6 articles.

1. A new battery available capacity indicator for electric vehicles using neural network;Shen;Energ Convers Manage,2002

2. Gregory L Plett. LiPB Dynamic Cell Models for Kalman-Filter SOC Estimation. EVS19, 2002.

3. Johan AK Suykens. Nonlinear Modeling and Support Vector Machines. In: IEEE conference on instrumentation and measurement technology. Budapest, Hungary, May 2001. p. 287–94.

4. Junping W, Quanshi C, Yong C. RBF kernel based support vector machine with universal approximation and its application. In: Proceedings of the international symposium on neural networks. Dalian, China: Springer, August 2004. p. 512–7.

5. Guan Hua. Experiment research and performance simulation of advanced battery pack on electric vehicle. M.S. Dissertation. Tsinghua University, 2003.

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