Predicting state of charge of lead-acid batteries for hybrid electric vehicles by extended Kalman filter

Author:

Vasebi A.,Bathaee S.M.T.,Partovibakhsh M.

Publisher

Elsevier BV

Subject

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

Reference14 articles.

1. NREL. Advisor software. http://www.NREL.org.

2. Nonlinear observers for predicting SoC and SoH of lead-acid batteries for hev’s;Bhangu;IEEE Trans Vehicular Technol,2005

3. Modern batteries;Vincent,1997

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

5. Caumont O, Le Moigne Ph, Lenain P, Rombaut C. An optimized state of charge algorithm for lead-acid batteries in electric vehicles. In: Electric vehicle symposium, vol. EVS-15, Brussels, Belgium, September–October 30–3, 1998. Proceedings on CD-ROM.

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