Enhanced Co-Estimation of State of Health and State of Charge in Lithium-Ion Batteries Using Discharge Voltage and an Optimized Feed-Forward Neural Network

Author:

MAWASSI Hadi,Hermann Gilles,Abdeslam Djaffar Ould,Idoumghar Lhassane

Publisher

Elsevier BV

Reference32 articles.

1. Accurate prediction approach of soh for lithium-ion batteries based on lstm method;L Zhang;Batteries,2023

2. Small sample state of health estimation based on weighted gaussian process regression;H Sheng;Journal of Energy Storage,2021

3. Chapter 6 -thermal management of batteries;B Sund�n;Hydrogen, Batteries and Fuel Cells,2019

4. Extending the electric vehicle battery first life: Performance beyond the current end of life threshold;M Etxandi-Santolaya;Heliyon,2024

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