control and energy management of reconfigurable modular lithium-ion battery systems

Réf ABG-134825

Stage master 2 / Ingénieur

Durée 6 mois

Salaire net mensuel 800€

18/12/2025

Ecole Supérieure des Techniques Aéronautique et de la Construction Automobile (ESTACA)

Lieu de travail

Montigny le Bretonneux Ile-de-France France

Champs scientifiques

• Sciences de l'ingénieur

Mots clés

UAV / Drone, Jumeau Numérique, Drone-in-the-Loop (DIL), PX4 / Autopilote, Maintenance Prédictive

Date limite de candidature

25/01/2026

L'ESTACA, école d'ingénieurs faisant partie du groupe ISAE, forme en 5 ans des ingénieurs passionnés par les technologies qui répondent aux besoins de nouvelles mobilités et mène une recherche appliquée au service de tous les acteurs des transports (aéronautique, automobile, spatial, naval et transports guidés et ferroviaires).

L'ESTACA c'est une formation d'ingénieur et des mastères spécialisés habilités par la Commission des Titres d'Ingénieurs, ainsi que des équipes d'enseignants et de chercheurs qui accueillent plus de 2 500 étudiants repartis sur 3 campus (Montigny-le-Bretonneux (78), Laval (53) et Bordeaux (33))

ESTACA'Lab, le laboratoire de recherche de l'ESTACA, regroupe aujourd'hui une trentaine d'enseignants-chercheurs et une quarantaine de doctorants. Il développe une recherche appliquée dans un contexte fortement collaboratif pour une mobilité durable, intelligente et sûre.

Lithium-ion batteries have become the dominant energy storage technology in a wide range of applications, particularly in the transportation sector, such as electric vehicles (EVs) and fuel-cell hybrid EVs. As these applications require high power and energy density, reliability, and long service life, the integration of embedded battery systems and the development of advanced battery management strategies have become increasingly important.

In this context, modular battery energy storage systems, where the pack is composed of multiple controllable battery units (each unit corresponding to a single cell or a small group of cells connected in series and/or parallel), offer several advantages. A modular architecture enables improved energy efficiency, health-aware control, fault tolerance, continuity of service, enhanced operational flexibility, and better thermal management. These features are essential for embedded systems in which performance, safety, and durability are critical.

However, modular battery systems also introduce new challenges. To fully exploit the benefits of modularity, each battery unit must operate efficiently while ensuring global consistency at the pack level. This requires accurate estimation of individual unit states, coordinated control algorithms, and real-time optimization to maintain balanced electrical and thermal behavior across all units.

The objective of this internship is to contribute to the development of advanced control and energy-management strategies for a modular lithium-ion battery system composed of battery units and DC/DC converters. Particular emphasis is placed on improving energy efficiency and enabling health-aware operation throughout the entire operating cycle of EV applications.

Principals missions :

• Literature review and stateof-the-art analysis of modular lithium-ion battery systems, energy management strategies, state estimation and control algorithms
• Modeling and simulation of modular battery units (battery units combined with DC/DC converter) using MATLAB/Simulink
• Development of control strategies to improve energy efficiency and enable healthaware operation at both the unit and system levels
• Development of state estimation strategies for battery monitoring and diagnosis (this step may be based on assumptions; the main focus remains on control).
• Coordination and optimization of energy management strategies across multiple units during charging and discharging cycles
• Validation and testing of the proposed strategies through simulations and, where possible, on embedded platforms

Diplôme(s) requis :5th-year engineering student or Master's (M2) student in the final year of their academic program in Electrical Engineering, Control Systems, or related fields

Compétences attendues :

• Knowledge of control systems and state estimation techniques
• Familiarity with energy management and battery management systems (BMS)
• MATLAB/Simulink (numerical validation) and dSPACE/ControlDesk (experimental validation)
• Analytical skills, problemsolving, and teamwork

02/02/2026