3 papers
eess.SY2026
Timescale-aware surrogate-assisted multi-objective optimization of battery cell design for energy density, fast charging, and degradation
Qingbo Zhu, Changfu Zou, Yicun Huang +2
Battery cell design must balance energy density, fast charging, and degradation, yet these metrics evolve over different time scales and are costly to optimize jointly. We develop…
cs.LG2026
Bridging battery design and health assessment through virtual sensing and physics-informed learning
Wendi Guo, Søren Byg Vilsen, Daniel Ioan Stroe +4
Supercharging of lithium-ion batteries (LiBs) requires robust health monitoring to ensure durability, safety, and user confidence, particularly for emerging vehicle-to-grid applica…
eess.SY2024
Thermal Modelling of Battery Cells for Optimal Tab and Surface Cooling Control
Godwin K. Peprah, Yicun Huang, Torsten Wik +2
Optimal cooling that minimises thermal gradients and the average temperature is essential for enhanced battery safety and health. This work presents a new modelling approach for ba…