Description de l'offre
A large portion of battery storage on the grid is performed using Lithium-ion batteries today. Being able to predict their lifetime, their state of health and their performance degradation curve are very important for the management of the storage and to decide on the optimal batteries to install for future use. The announced lifetime of Li-ion batteries has considerably increased and is now in double figures, but this lifetime is very dependent on the load profile as well as on the environment of the batteries are operated in. The EDF R&D Batteries Testing Lab and Batteries Post-Mortem Analysis lab are useful tools to evaluate these criteria, but these tests are not sufficient.
The objective of the proposed thesis work is to develop a versatile model of different Li-ion batteries, which can be used to study the impact of the different electrochemical processes, the modification of the interfaces, the transformation of materials within the battery, etc, on the behaviour of the battery. The battery will be modelled on a mesoscopic scale, from the solid-liquid interface and other interfaces, to the full cell, based on the elementary physical and chemical reactions and mechanisms. A novel approach using cellular automata will be used with information generated from experimental measurements in the lab as well as DFT calculations. This 3D model will then be used to analyse how the Li-ion battery degrades as a function of solicitation, temperature, composition, microstructure of the electrodes, additives, etc.
The PhD fellow will be employed by EDF R&D with a 3-year CIFRE contract and will conduct his/her research activities mainly at the EDF Lab Renardières in Moret sur Loing (south of Paris). He/She will be registered with the University of Montpellier doctoral school. The thesis work is scheduled to start in October or November 2020.
The thesis work will be performed in collaboration with the ICGM/CTMM in Montpellier and the ICMCB in Bordeaux and will include work in both these institutes in addition to the EDF Labs. These institutes are at the cutting edge of battery modelling and experimental characterisation. All three partners are also members of the RS2E network.
Ideal candidate profile
The candidates must hold (or be about to receive) a Master's degree in chemistry, materials science, physics, energy, electrical engineering or related area, and have good English skills
Good knowledge and hands-on experience in programming and modelling
Excellent academic track record
Creative and highly motivated.
Rigorous, good writing skills and willing to learn French (for none French speakers)