Thèse Cifre - PhD position in Chemical Engineering and Chemical Kinetics
Thesis topic: Predicting Combustion Behaviors of the Emitted Gas during Thermal Runaway of Lithium-Ion Batteries.
Electric vehicle is a promising solution to de-carbonization and massive deployment is foreseen. However, the safety concerns are obstructing their large-scale applications. One of the main safety concerns is the thermal runaway (TR) of batteries, which has caused many accidents around the globe. These accidents often lead to combustion and explosion, presenting dangers to human lives. The risk of thermal runaway is becoming even higher because the thermal stability of battery materials is found to decrease as battery technologies are evolving towards higher energy density.
During the process of battery thermal runaway, various gaseous components are formed by both exothermic decomposition reactions between battery materials and the evaporation of liquid electrolyte. These emitted gases, usually flammable and toxic, are responsible for the drastic events such as battery cell rupture, venting, combustion, explosion, and flames. During different phases of TR, the risk and severity of combustion may vary, depending on the composition of the gas mixture and the gas-phase reactions under the corresponding temperature and pressure. However, currently the relation between the gas-phase combustion and the thermal runaway in condensed phases are still unclear.
Within the IFP Energies Nouvelles (IFPEN) and ENSTA Paris, the PhD candidate will take up the challenge to understand the relation between the gas-phase combustion and the thermal runaway in condensed phases of Lithium-Ion Batteries. To achieve this goal, the candidate will develop a multi-physics kinetic model with validation based on experiments to predict the entire process of emitted gas combustion, from their formation in the solid/liquid phase to their combustion behaviors in the gas phase. The thesis will be able to address many scientific questions around combustion during thermal runaway, e.g., when, where, and how combustion initiates, propagates, and affects the progress of thermal runaway. The PhD candidate will gain a solid experience in lithium-ion battery, combustion, and chemical kinetics through the multi-physics modeling activities.
If you are chosen for this position, you will be employed by SAFT but will work at IFPEN. The PhD diploma will be issued by ENSTA, Institut Polytechnique de Paris (IP Paris).
IFP Energies Nouvelles (IFPEN) is a French public-sector research, innovation and training center. Its mission is to develop efficient, economical, clean and sustainable technologies in the fields of energy, transport and the environment. IFPEN offers a stimulating research environment, with access to first in class laboratory infrastructures and computing facilities. All PhD students have access to dedicated seminars and training sessions. For more information, please see our dedicated WEB pages.
Institut Polytechnique de Paris (IP Paris) is a world-class Institute of science and technology encompassing 5 prestigious French engineering Schools: École Polytechnique, ENSTA Paris, ENSAE Paris, Télécom Paris, Télécom SudParis. For more information, see IP Paris official WEB site.
SAFT is a leading battery company that specializes in designing and manufacturing advanced batteries for various industries including aerospace, defense, and transportation.
The candidate will be granted a 3 year Cifre doctorate contract, starting in fourth quarter 2023. The Cifre (Conventions Industrielles de Formation par la Recherche) system allows French companies to entrust a doctoral candidate with an assignment in the framework of a research collaboration with an academic research laboratory affiliated to a doctoral school. It implies specific conditions to be conceded. For more informations, see CIFRE WEB site.
We are looking for a candidate with a Master degree in chemical engineering, physical chemistry, electrochemistry, or materials engineering and excellent English language knowledge. Willingness to learn French or French as a native language is also required. Applicants with a strong interest in Lithium-Ion Battery and thermal runaway, but also with prior experience in kinetic modeling using Python will be given preference.
If you feel you have the right skills, experience and enthusiasm to join our team, please apply using this form.
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