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This study compares various parameter identification methods for equivalent circuit models (ECMs) of lithium-ion batteries to improve state of health (SOH) estimation. The research evaluates seven ECMs and seven identification algorithms under different aging conditions using both frequency and time domain measurements, identifying PSO, GWO, and LSQ as the most effective methods. Results indicate that the performance of identification algorithms varies with measurement type, and simpler models can enhance S

Author

Hedil Fekih

Language

EN