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Adaptive unscented Kalman filtering for state of charge estimation of a lithium-ion battery for electric vehicles

Energy · 2011 · Vol. 36(5) · pp. 3531–3540

Fengchun Sun(Beijing Institute of Technology)Xiao Hu✉(Beijing Institute of Technology)Yuan Zou(Beijing Institute of Technology)Siguang Li(Beijing Institute of Technology)

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Advanced Battery Technologies Research Electric Vehicles and Infrastructure Fault Detection and Control SystemsKalman filterState of chargeExtended Kalman filterUnscented transformFast Kalman filterControl theory (sociology)Invariant extended Kalman filterAlpha beta filterEnsemble Kalman filterBattery (electricity)

Funding

University of Michigan
National Natural Science Foundation of China
China Scholarship Council

Citations

596

FWCI

43.64

field-weighted impact

References

43

Percentile

100%

vs. same field & year

Citations per year

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References

New extension of the Kalman filter to nonlinear systems

Proceedings of SPIE, the International Society for Optical Engineering/Proceedings of SPIE · 1997 · 5,214 citations

Methods for state-of-charge determination and their applications

Journal of Power Sources · 2001 · 1,136 citations

Nonlinear Observers for Predicting State-of-Charge and State-of-Health of Lead-Acid Batteries for Hybrid-Electric Vehicles

IEEE Transactions on Vehicular Technology · 2005 · 501 citations

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs

Journal of Power Sources · 2004 · 1,661 citations

Extended Kalman filtering for battery management systems of LiPB-based HEV battery packs

Journal of Power Sources · 2004 · 1,267 citations

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