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Michigan universities are leveraging AI technology to extract critical minerals from old batteries, receiving nearly $2.3 million in state funding. The grant awarded to Lawrence Technological University aims to develop automated systems for disassembling and processing both consumer and electric vehicle batteries. This initiative seeks to reduce landfill waste and enhance the purity of recycled materials for new battery production.
The project addresses a pressing national supply chain issue, as most critical minerals like nickel and cobalt are predominantly sourced from China. With a significant increase in electric vehicle batteries reaching their end of life, innovative recycling methods are essential. The collaboration among Michigan universities, including projects at the University of Michigan and Michigan State University, highlights the state's commitment to sustainable battery recycling.
• AI will identify elements and sort materials from old batteries.
• Michigan aims to improve recycling processes for critical battery minerals.
AI is utilized to automate the sorting and processing of battery materials.
Automated systems are being developed to enhance the efficiency of battery recycling.
MLive- Flint/Saginaw/Bay City on MSN.com 10month
MLive on MSN.com 11month
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