3 papers
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…
eess.SY2024
Towards a BMS2 Design Framework: Adaptive Data-driven State-of-health Estimation for Second-Life Batteries with BIBO Stability Guarantees
Xiaofan Cui, Muhammad Aadil Khan, Surinder Singh +2
A key challenge that is currently hindering the widespread use of retired electric vehicle (EV) batteries for second-life (SL) applications is the ability to accurately estimate an…
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…