Intelligent Digital Twin for the Sustainable Lifecycle Management of Lithium Battery Energy Sto[...]

QUARTZ; France; Hybride; EUR 25 000 - 30 000; Plein temps

Résumé du poste

A leading French engineering institution is seeking a PhD candidate to contribute to the advanced development of a digital twin for lithium batteries. The role focuses on optimizing battery performance and integrating renewable energy sources as part of the DIGIBATT project. Candidates should have a Master's degree in a relevant field and expertise in distributed energy systems, digital twin technologies, and project management. This position offers the opportunity to work on innovative energy solutions in a collaborative environment.

Qualifications

• Solid understanding of energy systems, especially batteries and renewables.
• Curiosity and strong interest in innovation.

Responsabilités

• Design an intelligent digital twin of lithium batteries.
• Integrate data from all stages of the battery lifecycle.
• Optimize battery energy usage with renewable sources.
• Develop predictive models for battery performance.

Connaissances

Expertise in distributed energy systems

Proficiency in digital twin technologies

Skills in power quality

Ability to analyze sustainable projects

Knowledge of obsolescence management

Experience in teamwork and project management

Formation

Master Degree or equivalent

Description du poste

Organisation/Company QUARTZ Research Field Engineering » Electrical engineering Researcher Profile First Stage Researcher (R1) Positions PhD Positions Country France Application Deadline 28 Feb 2026 - 18:41 (Europe/Paris) Type of Contract Temporary Job Status Full-time Is the job funded through the EU Research Framework Programme? Not funded by a EU programme Is the Job related to staff position within a Research Infrastructure? No

Offer Description

ENSEA is a leading French engineering school specializing in digital technologies, awarding its engineering degree since 1952. ENSEA hosts two internationally recognized research laboratories: Quartz, dedicated to engineering sciences (energy, control, high-speed electronics), and ETIS, a CNRS UMR focused on information processing and digital systems. Olenergies is an industrial startup founded in 2018, specializing in the design and manufacturing of compact, cobalt-free lithium iron phosphate (LFP) batteries in the Île-de-France region. Its solutions address a wide range of applications, including the replacement of diesel generators, lead‑acid substitution, solar self‑consumption, grid flexibility services, and industrial electrification. With full control of its value chain—from the cell to the digital twin—Olenergies aims to become a European reference player in stationary and onboard energy storage.

The objective of this PhD is to contribute to the advanced development of Olenergies’ battery digital twin, which is already under construction as part of the industrial DIGIBATT project. The work will focus on integrating the complete digitalization of the lithium battery lifecycle—from design and component selection to recycling—and on enriching the digital twin with predictive models, hybrid physics‑AI approaches, and new energy‑management capabilities, particularly under variable photovoltaic production and grid constraints.

Thesis Objective:

• Design an intelligent and sustainable digital twin of lithium batteries capable of:
• Integrating data from all stages of the battery lifecycle,
• Combining physical modeling, statistical approaches, and machine learning,
• Predicting battery performance, lifetime, and the obsolescence of peripheral components,
• Optimizing battery energy usage, particularly in the presence of renewable energy sources, to support a more reliable, flexible, and resilient power grid,
• Integrating a local predictive control strategy aimed at minimizing energy reinjection into the grid, while accounting for the stochastic nature of renewable energy production and the variability of load profiles.

Optionally, being integrated into a global BESS architecture coupled with an active filter to improve power quality both on the system output and on the grid side.

Where to apply

E-mail [e-mail]

Requirements

Research Field Engineering » Electrical engineering Education Level Master Degree or equivalent

Skills/Qualifications

Expected Skills and Knowledge Acquired:

• Expertise in distributed energy systems integrating BESS and renewable energies—key elements for national energy sovereignty,
• Proficiency in digital twin technologies, applied AI, and lifecycle performance prediction,
• Skills in power quality and active filtering techniques,
• Ability to analyze sustainable development projects from technical and techno‑economic perspectives,
• Strong knowledge of obsolescence management, life‑cycle assessment (LCA), and technological durability,
• Proven experience in teamwork and the management of industrial and academic projects.

Specific Requirements

• Solid understanding of energy systems, particularly batteries and renewable energies,
• Curiosity, scientific rigor, and a strong interest in innovation.