2 citations · 3 across the 3 of their papers we have counts for
3 papers
eess.SY2024★ 2 cited
Deep-MPC: A DAGGER-Driven Imitation Learning Strategy for Optimal Constrained Battery Charging
Jorge Espin, Dong Zhang, Daniele Toti +1
In the realm of battery charging, several complex aspects demand meticulous attention, including thermal management, capacity degradation, and the need for rapid charging while mai…
eess.SY2024
Safety-Driven Battery Charging: A Fisher Information-guided Adaptive MPC with Real-time Parameter Identification
Jorge Espin, Yuichi Kajiura, Dong Zhang
Lithium-ion (Li-ion) batteries are ubiquitous in modern energy storage systems, highlighting the critical need to comprehend and optimize their performance. Yet, battery models oft…
cs.LG2023★ 1 cited
Physics-Informed Neural Network for Discovering Systems with Unmeasurable States with Application to Lithium-Ion Batteries
Yuichi Kajiura, Jorge Espin, Dong Zhang
Combining machine learning with physics is a trending approach for discovering unknown dynamics, and one of the most intensively studied frameworks is the physics-informed neural n…