Support vector based battery state of charge estimator

Author:

Hansen Terry,Wang Chia-Jiu

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Physical and Theoretical Chemistry,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference11 articles.

1. Methods for state-of-charge determination and their application;Piller;J. Power Sources,2001

2. V.H. Johnson, A.A. Pesaran, T. Sack, Temperature-dependent battery models for high-power lithium-ion batteries, in: Presented at the 17th Annual Electric Vehicle Symposium Montreal, Canada, October 15–18, 2000, The paper is downloadable at website http://www.nrel.gov/docs/fy01osti/28716.pdf.

3. The Nature of Statistical Learning Theory;Vapnik,1995

4. Advances in EKF SOC estimation for LiPB HEV battery packs;Plett,2003

5. G.L. Plett, Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs—Part 1. Background, J. Power Sources 134 (No. 2) (2004) 252–261; Part 2. Modeling and identification, J. Power Sources 134 (No. 2) (2004) 262–276; Part 3. State and parameter estimation, J. Power Sources 134 (No. 2) (2004) 277–292.

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