Quentin MAYEMBA | IFPEN Thèses

quentin.mayemba@ifpen.fr

Publications

1. Machine learning modelling of the state-of-health of lithium-ion cells under calendar aging (2022). Quentin Mayemba, An Li, Rémy Mingant, Gabriel Ducret, Pascal Venet. Au congrès Batteries Event 2022. Lyon, France, 18/10/2022 - 21/10/2022

2. Revue comparative des bases de données de vieillissement de batteries lithium-ion accessibles en ligne (2023). Mayemba Quentin, Venet Pascal, Mingant Rémy, Ducret Gabriel, Li An. Au congrès Symposium de Génie Electrique 2023. Lille, France, 05/07/2023 - 07/07/2023

3. Aging datasets of commercial lithium-ion batteries: A review. Mayemba Q, Mingant R, Li A, Ducret G, Venet P (2024). Journal of Energy Storage 83:110560. https://doi.org/10.1016/j.est.2024.110560

Thèse

Ongoing

Published on 2024-01-04

Development of artificial intelligence algorithms to estimate the state of health of lithium-ion batteries from cell to pack level

The electric vehicle market is growing strongly and phenomenal progress is underway, in particular in terms of extending the vehicle’s kilometric ...

Electrical, Electronic and Information Engineering Applied Physico-chemistry and Mechanics Lyon