2 papers
eess.SY2026
Closed-loop domain generation enhances battery health diagnosis
Yue Wu, Ziyu Mo, Jinze Dai +4
Reliable electrode-level degradation diagnosis is essential for accurate health estimation and non-destructive monitoring in advanced battery management. Diagnosis models developed…
physics.app-ph2026
Physics-informed neural network surrogate modeling of single particle model for lithium-ion batteries
Yi Zhuang, Yusheng Zheng, Yunhong Che +1
Physics-based models play a key role in battery management, yet face challenges in real-time applications due to the high computational cost of solving coupled algebraic-partial di…