Comparison of Kalman Filter-based state of charge estimation strategies for Li-Ion batteries

Abstract

Currently, the automotive industry is experiencing a significant technology shift from internal combustion engine propelled vehicles to second generation battery electric vehicles (BEVs), hybrid electric vehicles (HEVs) and plug-in hybrid electric vehicles (PHEVs). The battery pack represents the core of the electric vehicle powertrain and its most… (More)

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Cite this paper

@article{Wang2016ComparisonOK, title={Comparison of Kalman Filter-based state of charge estimation strategies for Li-Ion batteries}, author={Weizhong Wang and Deqiang Wang and Xiao Wang and Tongrui Li and Ryan M. Ahmed and Saeid R. Habibi and Ali Emadi}, journal={2016 IEEE Transportation Electrification Conference and Expo (ITEC)}, year={2016}, pages={1-6} }