9 citations · 10 across the 2 of their papers we have counts for
2 papers
eess.SY2024★ 9 cited
Cycle Life Prediction for Lithium-ion Batteries: Machine Learning and More
Joachim Schaeffer, Giacomo Galuppini, Jinwook Rhyu +4
Batteries are dynamic systems with complicated nonlinear aging, highly dependent on cell design, chemistry, manufacturing, and operational conditions. Prediction of battery cycle l…
cond-mat.mtrl-sci2024★ 1 cited
Physics-based Modeling of Pulse and Relaxation of High-rate Li/CF-SVO batteries in Implantable Medical Devices
Qiaohao Liang, Giacomo Galuppini, Partha M. Gomadam +6
We present a physics-based model that accurately predicts the performance of Medtronic's implantable medical device battery lithium/carbon monofluoride (CF) - silver vanadium o…