Xiaojia Luo

Cross-domain transferable few-shot learning for state-of-health estimation of lithium-ion batteries with physics-consistent neural network

Accurate estimation of the state-of-health (SOH) of lithium-ion batteries is crucial for ensuring safety and longevity in electric vehicles. Given the varied operating conditions, data-driven methods have emerged as the predominant approach for SOH estimation due to their model-f...

Ultra-fast battery health estimation from random 100 mV charging fragments using conditional generative diffusion

State-of-health (SOH) estimation is essential for lithium-ion battery management. However, real-world disruptions often result in fragmented battery data, making reliable SOH estimation challenging. Generative artificial intelligence offers a promising paradigm to address these l...