Jia-Qi Yao

Degradation-aligned self-supervised learning for state of health estimation of lithium-ion batteries under label sparsity

An accurate estimation of the state of health (SOH) underpins safe and optimized use of the battery system. Although compelling, data-driven SOH estimation models typically require large amounts of high-quality labeled cycling data, while in practice such labels are often sparse in both quantity and coverage. Therefore...