488 citations · 835 across the 10 of their papers we have counts for
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eess.SY2023★ 33 cited
Driving behavior-guided battery health monitoring for electric vehicles using machine learning
Nanhua Jiang, Jiawei Zhang, Weiran Jiang +4
An accurate estimation of the state of health (SOH) of batteries is critical to ensuring the safe and reliable operation of electric vehicles (EVs). Feature-based machine learning…
eess.SP2023★ 20 cited
Health diagnosis and recuperation of aged Li-ion batteries with data analytics and equivalent circuit modeling
Riko I Made, Jing Lin, Jintao Zhang +8
Battery health assessment and recuperation play a crucial role in the utilization of second-life Li-ion batteries. However, due to ambiguous aging mechanisms and lack of correlatio…
physics.chem-ph2023★ 17 cited
Identifiability Study of Lithium-Ion Battery Capacity Fade Using Degradation Mode Sensitivity for a Minimally and Intuitively Parametrized Electrode-Specific Cell Open-Circuit Voltage Model
Jing Lin, Edwin Khoo
When two electrode open-circuit potentials form a full-cell OCV (open-circuit voltage) model, cell-level SOH (state of health) parameters related to LLI (loss of lithium inventory)…