189 citations · 686 across the 33 of their papers we have counts for
7 papers · 1 filter
Integrating Physics-Based Modeling with Machine Learning for Lithium-Ion Batteries
Hao Tu, Scott Moura, Yebin Wang +1
Mathematical modeling of lithium-ion batteries (LiBs) is a primary challenge in advanced battery management. This paper proposes two new frameworks to integrate physics-based model…
A Learning-based Optimal Market Bidding Strategy for Price-Maker Energy Storage
Mathilde D. Badoual, Scott J. Moura
Load serving entities with storage units reach sizes and performances that can significantly impact clearing prices in electricity markets. Nevertheless, price endogeneity is rarel…
Distributionally Robust Surrogate Optimal Control for High-Dimensional Systems
Aaron Kandel, Saehong Park, Scott Moura
This paper presents a novel methodology for tractably solving optimal control and offline reinforcement learning problems for high-dimensional systems. This work is motivated by th…
Risk-Aware Lane Selection on Highway with Dynamic Obstacles
Sangjae Bae, David Isele, Kikuo Fujimura +1
This paper proposes a discretionary lane selection algorithm. In particular, highway driving is considered as a targeted scenario, where each lane has a different level of traffic…
Joint Design for Electric Fleet Operator an Charging Service Provider: Understanding the Non-Cooperative Nature
Yiqi Zhao, Teng Zeng, Zaid Allybokus +2
This work proposes a new modeling framework for jointly optimizing the charging network design and the logistic mobility planning for an electric vehicle fleet. Existing literature…
Integrating Electrochemical Modeling with Machine Learning for Lithium-Ion Batteries
Hao Tu, Scott Moura, Huazhen Fang
Mathematical modeling of lithium-ion batteries (LiBs) is a central challenge in advanced battery management. This paper presents a new approach to integrate a physics-based model w…