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cs.LG2024
Onboard Health Estimation using Distribution of Relaxation Times for Lithium-ion Batteries
Muhammad Aadil Khan, Sai Thatipamula, Simona Onori
Real-life batteries tend to experience a range of operating conditions, and undergo degradation due to a combination of both calendar and cycling aging. Onboard health estimation m…
cs.LG2024
Taking Second-life Batteries from Exhausted to Empowered using Experiments, Data Analysis, and Health Estimation
Xiaofan Cui, Muhammad Aadil Khan, Gabriele Pozzato +3
The reuse of retired electric vehicle batteries in grid energy storage offers environmental and economic benefits. This study concentrates on health monitoring algorithms for retir…