189 citations · 247 across the 15 of their papers we have counts for
11 papers · 1 filter
Lane-Change in Dense Traffic with Model Predictive Control and Neural Networks
Sangjae Bae, David Isele, Alireza Nakhaei +5
This paper presents an online smooth-path lane-change control framework. We focus on dense traffic where inter-vehicle space gaps are narrow, and cooperation with surrounding drive…
Valuation of Public Bus Electrification with Open Data
Upadhi Vijay, Soomin Woo, Scott J. Moura +8
This research provides a novel framework to estimate the economic, environmental, and social values of electrifying public transit buses, for cities across the world, based on open…
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…
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…
State Estimation for a Zero-Dimensional Electrochemical Model of Lithium-Sulfur Batteries
Zhijia Huang, Dong Zhang, Luis D. Couto +2
Lithium-sulfur (Li-S) batteries have become one of the most attractive alternatives over conventional Li-ion batteries due to their high theoretical specific energy density (2500 W…
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…