Machine Learning assisted electrodeposition process for sustainable spent lithium-ion battery recycling
Research Project, 2024
– 2026
With an increasing market share of lithium-ion batteries (LIBs), particularly for electromobility and renewable energy storage, we’re facing a future with a substantial number of used batteries. These batteries do not last forever, and they wear out after thousands of cycles. By 2030, there will be two million metric tons of used LIBs each year. These batteries are not just trash. They contain dangerous materials that can harm the environment, like heavy metals and toxic fluorine-containing electrolytes. European Union has recently set an ambitious target for battery recycling, requiring a clearly legible and indelible indication of recycled metals, e.g., cobalt (Co) and nickel (Ni) used in battery production. To achieve this target for environment protection and circular economy, it is of great importance to develop advanced and sustainable battery recycling technologies. This feasibility study project will explore the use of electrochemical deposition techniques for efficient and sustainable LIB recycling.
Participants
Zhenyuan Xia (contact)
Chalmers, Industrial and Materials Science, Materials and manufacture
Torsten Wik
Chalmers, Electrical Engineering, Systems and control
Changfu Zou
Chalmers, Electrical Engineering, Systems and control
Collaborations
Energy Area of Advance, Chalmers
Gothenburg, Sweden
Funding
Chalmers
Funding Chalmers participation during 2024–2026
Related Areas of Advance and Infrastructure
Sustainable development
Driving Forces
Energy
Areas of Advance
Basic sciences
Roots
C3SE (Chalmers Centre for Computational Science and Engineering)
Infrastructure
Innovation and entrepreneurship
Driving Forces
Chalmers Materials Analysis Laboratory
Infrastructure
Materials Science
Areas of Advance