Imagine if a battery could feel when it's getting damaged and then fix itself, much like how your skin heals a small cut. This technology puts tiny sensors inside the battery to spot problems and uses special materials that react to a trigger to repair the damage. It all works through a smart brain that manages the battery to keep it running longer and safer.
Batteries for EVs and grids suffer from degradation and safety risks, leading to high replacement costs and environmental waste. Current systems cannot repair internal damage once it occurs.
A system comprising integrated sensors, self-healing materials (magnetically/thermally activated polymers), and a Battery Management System (BMS) to detect and repair cell damage.
If you are an EV manufacturer dealing with battery degradation and short replacement cycles — this project developed self-healing materials and sensors that maximize usable lifespan. This reduces the need for premature battery replacements in vehicles.
If you are a grid storage provider dealing with high maintenance costs and safety risks — this project developed a Battery Management System (BMS) that detects defective operations and triggers repairs. This ensures higher reliability for large-scale energy infrastructure.
If you are a device manufacturer dealing with battery failure in premium electronics — this project developed Generation 3b and 4a Li Ion batteries with integrated sensing. This allows for better quality and reliability over the product's life span.
Based on available project data, the project aims for highly competitive pricing and minimal changes to current production lines to ensure economic viability.
Yes, the project specifically studies mass production processes and aims for a design that is manufacturable with minimal changes to existing battery production lines.
The project intends to support the development of spin-off companies or the creation of licensing deals to enable industrial uptake.
The technology uses a Battery Management System (BMS) with in-line communication to detect degradation and trigger the self-healing mechanisms.
The project period runs from 2023-05-01 to 2027-04-30, with an optimization study at the end to yield a final proof of concept.
The consortium is well-balanced for commercialization, featuring a 44% industry ratio with 4 SMEs and 4 Research organizations. This mix of academic research (1 university) and industrial expertise in materials, sensors, and recycling suggests a strong pipeline from lab to market.
VRIJE UNIVERSITEIT BRUSSEL
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