189 citations · 686 across the 33 of their papers we have counts for
7 papers · 1 filter
Data-driven Energy Management Strategy for Plug-in Hybrid Electric Vehicles with Real-World Trip Information
Yongkeun Choi, Jacopo Guanetti, Scott Moura +1
This paper presents a data-driven supervisory energy management strategy (EMS) for plug-in hybrid electric vehicles which leverages Vehicle-to-Cloud connectivity to increase energy…
Safe Learning MPC with Limited Model Knowledge and Data
Aaron Kandel, Scott J. Moura
This paper presents an end-to-end framework for safe learning-based control (LbC) using nonlinear stochastic MPC and distributionally robust optimization (DRO). This work is motiva…
State of Charge Estimation of Parallel Connected Battery Cells via Descriptor System Theory
Dong Zhang, Luis D. Couto, Sebastien Benjamin +3
This manuscript presents an algorithm for individual Lithium-ion (Li-ion) battery cell state of charge (SOC) estimation when multiple cells are connected in parallel, using only te…
Safe Wasserstein Constrained Deep Q-Learning
Aaron Kandel, Scott J. Moura
This paper presents a distributionally robust Q-Learning algorithm (DrQ) which leverages Wasserstein ambiguity sets to provide idealistic probabilistic out-of-sample safety guarant…
Reinforcement Learning-based Fast Charging Control Strategy for Li-ion Batteries
Saehong Park, Andrea Pozzi, Michael Whitmeyer +4
One of the most crucial challenges faced by the Li-ion battery community concerns the search for the minimum time charging without irreversibly damaging the cells. This can fall in…
Bayesian Hierarchical Methods for Modeling Electrical Grid Component Failures
Laurel N. Dunn, Ioanna Kavvada, Mathilde Badoual +1
Failure probabilities for grid components are often estimated using parametric models which can capitalize on operational grid data. This work formulates a Bayesian hierarchical fr…