Imagine if you could test a new battery design on a computer instead of spending years building and breaking thousands of real ones. This tool acts like a high-tech flight simulator for batteries, predicting how they will age and behave. It cuts out the slow trial-and-error process, letting engineers find the best design much faster.
Battery innovation is slowed by expensive and time-consuming physical testing. A new design can take 9 years to reach production due to trial-and-error testing for safety and aging.
A Digital Twin software combining three physics-based models (performance, lifetime, safety) optimized by AI with a user-friendly interface.
If you are a manufacturer dealing with a 9-year gap between concept and production — this project developed a Digital Twin that simulates battery behavior. This reduces the need for costly physical tests and speeds up the time to market.
If you are a provider dealing with unpredictable battery lifetime in grid storage — this project developed physics-based models for performance and aging. This allows you to predict battery health without relying on expensive, long-term physical trials.
If you are a producer dealing with high costs of safety testing for new chemistries — this project developed a virtual tool that simulates safety characteristics. This diminishes the number of physical samples required for validation.
Based on available project data, no specific pricing or cost for the end-user tool is mentioned.
The project focuses on commonly used battery chemistries that represent 60% of the market share before 2030, targeting cell, module, and pack levels.
Based on available project data, the IP and licensing terms are not specified, though the project involves 9 partners across 6 countries.
The tool is designed as a user-friendly interface that replaces or reduces the number of physical trial-and-error tests in the design phase.
The project is active from 2023-06-01 to 2027-05-31, meaning the final validated tool is expected by May 2027.
The consortium is strongly geared toward industrial application, with a 44% industry ratio (4 industrial partners). It balances deep technical research from 3 research organizations and 1 university with practical end-users, ensuring the resulting software meets actual market needs across 6 European countries.
Contact the Commissariat à l'énergie atomique et aux énergies alternatives (CEA) in France.
Contact us to explore early adoption of the THOR Digital Twin for your battery R&D.
