Ensuring accurate state monitoring is vital for battery safety and efficiency in electric vehicles. Here, authors present mechanistically guided residual learners that integrate mechanistic knowledge and machine learning to enable continuous, reliable battery state tracking over the entire lifespan.
- Yunhong Che
- Yusheng Zheng
- Richard D. Braatz
