SOC Estimation for Lithium-Ion Batteries Based on Weighted Multi-Innovation Sage–Husa Adaptive EKF

In lithium-ion battery management systems (BMSs), accurate state of charge (SOC) estimation is essential for the stable operation of BMSs. Furthermore, the accuracy of SOC estimation is significantly influenced by the precision of battery model parameters. To improve the SOC estimation accuracy, thi...

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التفاصيل البيبلوغرافية

الحاوية / القاعدة:	Energies
المؤلفون الرئيسيون:	Weihua Song, Ranran Liu, Xiaona Jin, Wei Guo
التنسيق:	مقال
اللغة:	الإنجليزية
منشور في:	MDPI AG 2025-08-01
الموضوعات:	lithium-ion batteries battery management system state of charge improved adaptive forgetting factor weighted multi-innovation adaptive extended Kalman filter
الوصول للمادة أونلاين:	https://www.mdpi.com/1996-1073/18/16/4364