Publications by authors named "Songfeng Zhong"
Article Synopsis
- Remaining useful life (RUL) is crucial for evaluating lithium-ion battery health, but current prediction methods often lack accuracy due to their focus on prior knowledge rather than real-time data.
- This study proposes a new dual Gaussian process regression (GPR) model, called the health indicator-capacity (HI-C) model, designed to improve RUL predictions for high-capacity lithium batteries using advanced incremental capacity analysis.
- The HI-C dual GPR model demonstrated superior accuracy in RUL predictions with minimal errors, outperforming traditional models and effectively addressing challenges related to measuring health indicators during actual battery operation.
