Reutilizing end-of-life batteries with substantial remaining capacity is often constrained by insufficient and inconsistent data on their condition. This Perspective examines these data limitations and discusses how artificial intelligence methods can enable reliable diagnostics, prognostics and life-cycle decisions for reuse, recycling and remanufacturing.
- Shengyu Tao
- Scott Moura
- Guangmin Zhou