Imagine if we could quickly tell if a used car battery is still healthy enough to power a home for another decade instead of throwing it away. This project builds a robotic system that can safely take apart complex battery packs without humans doing the dangerous manual work. It also adds a digital 'passport' to each battery so recyclers know exactly what is inside and how to handle it.
Manual dismantling of Li-ion batteries is slow, dangerous, and expensive. Additionally, the lack of fast health diagnosis and standardized data makes it difficult to profitably reuse batteries for a second life.
A robotic disassembly setup with bespoke end-effectors, a fast battery testing method using Electronic Noise Analysis, and a blockchain-based digital battery passport.
If you are an EV manufacturer dealing with the return of old battery packs — this project developed an autonomous disassembly system that reduces the cost and danger of manual dismantling. This allows you to recover materials more efficiently as battery waste is expected to reach 9 million tonnes annually by 2040.
If you are a storage provider dealing with slow and unreliable battery health checks — this project developed fast testing based on Electronic Noise Analysis. This enables you to quickly identify batteries suitable for an additional 10 years of use in domestic applications.
If you are a recycler dealing with the risk of fires during battery storage — this project developed a smart container with thermal and gas sensing layers. This system monitors explosive limits and activates cooling to prevent thermal runaway incidents.
It replaces slow and costly manual processes with an autonomous pack and module disassembly system that can re-configure for different battery types.
Yes, the project includes 7 industrial partners and a robotic line manufacturer to ensure the technology moves from the lab to an industrial context.
Based on available project data, specific licensing terms are not mentioned, but the project develops proprietary hardware robotic setups and blockchain-supported labelling systems.
The project implements thermal monitoring and smart containers that sense gas and oxygen levels to prevent thermal runaway.
The project period runs from 2023-06-01 to 2026-11-30, suggesting the final validated schemes will be available by late 2026.
The consortium is well-balanced for commercialization, consisting of 12 partners across 5 countries. With a 25% industry ratio (3 industrial partners and 4 other organizations, including a robotic line and car manufacturer), there is a strong link between the 5 universities and the actual market. This structure ensures that the research is grounded in industrial needs and has a direct path to technology transfer.
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