Xin He and colleagues propose a deep-learning framework that leverages electrochemical, thermal, and mechanical features to estimate state-of-health (SOH) in retired lithium-ion batteries with unknown history, while enabling battery classification through its integrated architecture.
- Jie Wu
- Zhongxian Sun
- Xin He
