Imagine taking old laptop batteries and turning them into a giant power bank for your home without having to manually unscrew every single part. This project creates a way to easily pop batteries out of old cars using robots and wireless tech, then uses AI to figure out which ones are still healthy. It's like a high-tech sorting center that gives old batteries a second career in energy storage.
Repurposing electric vehicle batteries is currently too slow, dangerous, and expensive due to manual disassembly and the difficulty of testing individual cell health.
A modular battery management system with wireless communication, a robotic dismantling system using VR, and AI-driven sorting algorithms for battery health passports.
If you are a storage provider dealing with high costs of new lithium cells — this project developed a modular design methodology that allows you to use 2nd life battery packs for stationary applications. This reduces the need for expensive new raw materials while maintaining reliability.
If you are a refurbishing center dealing with slow and dangerous manual dismantling — this project developed a semi-automated robotic dismantling strategy using virtual reality. This enables a safer and more rapid process for preparing batteries for their second life.
If you are a fleet operator dealing with battery degradation and waste — this project developed a battery passport concept using AI algorithms to identify cell health. This allows you to quickly screen and sort batteries for reuse in mobility applications.
Based on available project data, it reduces costs by using solderless mechanical interconnections and semi-automated robotic dismantling to speed up the process and minimize post-characterization labor.
Based on available project data, the project includes a semi-automated robotic strategy and a modular design methodology intended to uptake the second usage market, suggesting a path toward industrial scaling.
Based on available project data, there is no specific information regarding patents or licensing terms provided in the project description.
The project provides a technology-neutral modular design that works regardless of the cell chemistry or form factor.
The project is scheduled to run from 2025-01-01 to 2028-12-31.
The consortium is diverse, consisting of 11 partners across 7 countries. It has a strong research lean with 5 research organizations and 2 universities, but maintains a 27% industry ratio (3 industrial partners), ensuring that the academic AI and robotics developments are grounded in commercial battery application needs.
Contact Vrije Universiteit Brussel for technical inquiries regarding the BMS and robotic dismantling strategy.
Contact SciTransfer to connect with the REBORN consortium for early adoption of second-life battery sorting tools.
