Models for battery health assessment: evaluation

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  • who: Assessment A Comparative and colleagues from the Department of Electrical, Electronics Engineering and Computer Science (DIEEI), University of Catania, Viale Andrea Doria, Catania, Italy have published the Article: Models for Battery Health Assessment: Evaluation, in the Journal: Energies 2023, 16, 632. of /2023/
  • what: Considering the importance of lithium-ion (Li-ion) batteries and the attention that the study of their degradation deserves this work provides review of the most important battery state of health (SOH) estimation methods. Different from previous works, this work does not claim to cover the whole multitude of battery . . .

     

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