Accurate state of charge (SoC) estimations are vital to guarantee the safe and efficient operation of Lithium-ion battery systems in electric vehicles. In this paper, an improved coulomb counting method with adaptive error correction (ICC-AEC) with dual closed-loop control system (DCLCS) for SoC estimation is proposed. Where, a DCLCS with first-order RC battery modeling using forgetting factor-based recursive least square (FF-RLS) algorithm is utilized to achieve high estimation accuracy by recalibrating the SoC factor and fast response time. To evaluate and validate the performance of the proposed algorithm, a dynamic load profile with a large range of temperature variation is considered. Further, SoC estimation results obtained from traditional mixed method (MM) with closed-loop control system (CLCS) and proposed ICC-AEC with DCLCS are compared. The results show that the SoC estimation error obtained from ICC-AEC with DCLCS is lesser than MM with CLCS under considered dynamic operating conditions.
CITATION STYLE
Wu, K. H., Seyedmahmoudian, M., Mekhilef, S., Shrivastava, P., & Stojcevski, A. (2023). Lithium-ion battery state of charge estimation using improved coulomb counting method with adaptive error correction. Proceedings of the Institution of Mechanical Engineers, Part D: Journal of Automobile Engineering. https://doi.org/10.1177/09544070231210562
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