Engineering Internship - Estimation of Lithium-Ion Battery Ageing Using Electrochemical Models

Breadcrumb Home Current Opportunities Engineering Internship - Estimation of Lithium-Ion Battery Ageing Using Electrochemical Models Engineering Internship - Estimation of Lithium-Ion Battery Ageing Using Electrochemical Models 17/02/2026 - France , CRAN, UMR CNRS 7039: 2 avenue de la forêt de Haye, 54516 Vandœuvre-lès-Nanc Share on : Facebook  LinkedIn   Twitter   Mail   Context The global demand for electrochemical storage systems is increasing, mostly due to the rise of hybrid and electric vehicles (Hybrid-Electric Vehicle, Plug-in Hybrid Electric Vehicle, and Battery-Electric Vehicle) and the growing energy storage market linked to renewable energies and grid management. SAFT is a major player in this field, producing lithium-ion batteries in Poitiers, Nersac, and Bordeaux. This internship, funded by SAFT, will be conducted at CRAN in Vandœuvre-lès-Nancy.   Subject Description: Lithium-ion batteries are widely used in everyday applications such as laptops and mobile phones. They provide several advantages including high specific energy, high specific power, low self-discharge, and no memory effect. However, they require a Battery Management System (BMS) to ensure safety and prevent premature ageing. The BMS plays a key role in performance and lifetime by relying on accurate knowledge of the internal state of the battery. Unfortunately, only a few variables are directly measurable: current, voltage, and sometimes temperature. To estimate internal states (state of charge, state of health, functional states), a mathematical model of battery dynamics is developed, on which an observer is designed. Several approaches have been developed, particularly by CRAN, GREEN, and SAFT, based on local electrochemical models and nonlinear observers. The aim is to design and numerically validate estimation algorithms (observers) for the lithium quantity; a variable closely linked to battery ageing. The work will rely on reduced-order electrochemical models formulated as nonlinear ODEs. These models often remove one state variable using the classical assumption that total lithium quantity remains constant. This assumption breaks down over long-time horizons. The main challenge is to remove this assumption and explicitly estimate this slow variable.   Plan 1) Literature review and selection of one or several estimation methods. 2) Study of the estimation methods using MATLAB-Simulink on a given model. 3) Validation in MATLAB-Simulink using experimental data.   Profil recherché Master’s or engineering school final-year student in control engineering or electrical engineering. MATLAB skills expected and good command of English. Do not hesitate to contact Romain Postoyan (romain.postoyan@univ-lorraine.fr), Stéphane Raël (stéphane.rael@univ-lorraine.fr) for further information.   Supervisors  Romain Postoyan (CNRS, CRAN, Nancy) : romain.postoyan@univ-lorraine.fr  Stéphane Raël (Université de Lorraine, GREEN, Nancy) : stephane.rael@univ-lorraine.fr  Pierre-Olivier Lamare (SAFT, Bordeaux) : pierre-olivier.lamare@saft.com  Sébastien Benjamin (SAFT, Bordeaux) : sebastien.benjamin@saft.com   Location The internship will take place at CRAN, UMR CNRS 7039: 2 avenue de la forêt de Haye, 54516 Vandœuvre-lès-Nancy.   Duration 5 to 6 months, starting between February 1st and March 31st, 2026.   Keywords Control engineering, lithium-ion battery, observer, MATLAB-Simulink. Apply Now If you feel you have the right skills, experience and enthusiasm to join our team, please apply using this form. Name Email Phone Phone Function - Select - Communications Finance & Administration, Legal, HR Information Systems Manufacturing & Engineering Project Management Purchasing & Logistics, Customer Service Quality & Continuous improvement Research & Development Sales & Marketing Attach your CV One file only. 1 MB limit. Allowed types: pdf. Message In accordance with the provisions of the personal data protection regulation, Saft Groupe SAS as data controller will process your data for the purposes of providing the services and for its legitimate interest. Any mandatory fields are marked with an asterisk. In accordance with current regulations, you have the right to access, correct, delete and object to the use of your personal data. You may ask for your personal data to be sent to you and you have the right to give instructions for the use of your personal data after your death. You can also ask for restriction of the data, portability of the data and/or make a claim to the CNIL (the French data protection agency). For any request please send it to GDPR@saft.com or to the following address: Saft Groupe SAS   Communications Department  26, quai Charles Pasqua 92300 Levallois-Perret – France Find out more