Imagine trying to use old laptop batteries to power your house, but every battery speaks a different language and has a different plug. This project creates a universal 'translator' and controller that lets different types of used electric vehicle batteries work together safely. It's like a smart adapter that makes old batteries useful again without needing a custom-built system for every single one.
Repurposing electric vehicle batteries for stationary energy storage is currently too expensive and slow because every battery pack is different. The lack of standard controls makes it hard to safely mix and match used batteries from different sources.
A three-layer BMS architecture and an interoperable ESS design. It includes chemistry identification tools, Digital Twin models for monitoring, and a standardization roadmap.
If you are a BESS integrator dealing with expensive and slow reconfiguration of used batteries — this project developed a three-layer BMS architecture that reduces refurbishment costs and speeds up the adaptation of first-life batteries into stationary storage.
If you are an EV battery recycler dealing with non-standardized battery health profiles — this project developed in-site end-of-life diagnostics and chemistry identification that makes repurposing batteries for second-life use more economically viable.
If you are an E-Vessel operator dealing with high costs of replacing massive battery packs — this project developed an interoperable ESS design that allows for the integration of diverse battery configurations to extend the usable life of maritime energy assets.
It replaces time-consuming and expensive customized reconfiguration processes with a standardized three-layer BMS architecture and automated chemistry identification. This lowers the overall refurbishment cost for SL-BESS.
The project is validating its solutions across 3 demonstration sites in Paris, Prague, and Morocco to prove the system works in real and simulated environments before large-scale rollout.
Based on available project data, the project is developing a standardization roadmap and a Digital Battery Passport alignment, but specific licensing terms are not yet disclosed.
It uses Probabilistic Data Association (PDA) for chemistry identification and adaptive algorithms to manage multiple configurations across first- and second-life applications.
The project is active from 2024-01-01 and is scheduled to conclude by 2027-06-30.
The consortium is heavily industry-weighted with 8 industrial partners (50% of the total), including 4 SMEs. This strong industrial presence, combined with 5 research entities and 1 university across 14 countries, suggests the project is driven by commercial viability and market application rather than pure academic research.
Contact the Brussels Research and Innovation Center for Green Technologies
Contact us to identify potential licensing opportunities for the three-layer BMS architecture.
