Work

Fast hybrid FNN-GPR modeling for state of health estimation in Lithium-ion cells using early charge data: addressing performance variability

Year: 2025

Type: conference-paper

Source: HAL (Le Centre pour la Communication Scientifique Directe)

Authors: Mawassi, Hadi, Hermann, Gilles, Ould Abdeslam, Djaffar, Idoumghar, Lhassane

Institution: Université de Haute-Alsace

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

OpenAlex ID: W7037901727

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