24 citations · 27 across the 5 of their papers we have counts for
3 papers · 1 filter
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…
Domain knowledge-guided machine learning framework for state of health estimation in Lithium-ion batteries
Andrea Lanubile, Pietro Bosoni, Gabriele Pozzato +3
Accurate estimation of battery state of health is crucial for effective electric vehicle battery management. Here, we propose five health indicators that can be extracted online fr…
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…