Li-ion Batteries Modeling Intern (F/M)

Join us and be a pioneer for a green transport revolution.
Automotive Cells Company (ACC) is one of Europe’s newest and most exciting high-tech companies. Backed by Saft-Total, Stellantis-Opel and Mercedes-Benz, ACC is set to power the future of the automotive industry by innovating in battery technology.
 
We aim to produce sustainable, affordable, high-capacity, longer-life batteries as a cleaner alternative to current energy sources. We have created an R&D center and new state-of-the art facility in France (New Aquitaine), and we are building gigafactories in Hauts de France, Germany and Italy.

We need a range of skilled and agile people to bring our vision to life, especially in the areas of industrialization, mechanical design, testing/prototyping and any other function of a new-born company. If you’re looking to take your career further than you imagined, if you’re passionate about creating cleaner transport, we’d like to hear from you.

Accelerating sustainable mobility for all.

Context :

Durability of the battery pack is one of the primary issues in the expansion of the battery electric vehicles market. Indeed, the Li-ion batteries suffer parasitic electrochemical reactions over time and use, which alter their autonomy and their performances. Furthermore, some aging mechanisms can involve safety issues leading to the destruction of the battery in a very short time. Predicting the aging behavior of the battery is then a key point to optimize the lifespan of the electric vehicles.

The goal of this internship is to improve the understanding of the aging phenomena to better predict the long-term performance behavior of ACC cells.

The trainee will be integrated in ACC’s expertise center in Bordeaux working with the “Cell management” team within the simulation department. The internship main goal is to implement and calibrate the physical aging models on a pre-defined performance Newman model on COMSOL. It can be divided into multiple subsections that are sorted here under in function of priority for a 6-month period.

Main milestones for a 6-month period internship :

Literature review

• Literature review of the battery aging mechanisms and investigation of the PyBaMM aging modeling technics

• Assessing the PyBaMM aging modeling technics into a small report/presentation

• Getting familiar with the COMSOL programming environment and the performance modeling

Aging mechanism implementation

• Implementing the SEI growth model

• Implementing the Li-plating model

• Implementing loss of active material models

Complementary work

• Proposing a calibration method of these models

• Studying the interaction between these mechanisms

• Proposing reduced order models ideas

• You are a student enrolled in the 2nd or last year of engineering school, or preparing a M1 or M2 degree in one of these fields: electrochemistry, chemistry/materials engineering, applied mathematics

• You are proficient in algorithms, you like coding and are interested in physics modeling.

• Basics skills in Python is mandatory.

• Rigor, open-mindedness, and curiosity

Some extra skills that make the difference :

• Familiar with lithium-ion battery operation & aging

• Electrochemistry basics

• Prior experience in the field of batteries (experimental or modeling)

Why join us?
Our Advantages and Perks: new premises, parking spaces reserved for carpoolers, possibility of recharging your electric car on reserved spaces in our parking lot.

Other perks and advantages include : Company restaurant, meal and also vegetables/fruits baskets delivery service. Janitorial services, telecommuting, complementary retirement plan (subject to a salary threshold), additionnal & seniority leaves, well-being workshops, osteopathy sessions.

You will also benefit from access to our Sports & Culture association, conferences, and also sports, holidays and culture subsidy.

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