Electric Vehicles

Using Large Scale GPS Data to Reveal EV Driver Activity Patterns Beyond Charging Sessions

Clark, Callie
Driscoll, Anne
Ren, Xiyuan
Salah, Salsabil
Marta Gonzalez
Chow, Joseph Y. J.
Yabe, Takahiro
2026

Accurate insights into electric vehicle (EV) driver behavior are essential for long-term infrastructure planning, grid management, and understanding downstream economic impacts, yet individual level data on EV mobility remains limited. Here, we develop a scalable framework to infer EV ownership and charging behavior from passively collected, high-resolution mobility traces covering over 760,000 drivers across four major U.S. metropolitan areas. We identify likely EV drivers based on distinctive visitation patterns to charging stations and gas stations, frequency of visits, and daily travel...

Regulating EV Charging Markets for Fairness: Incentives for Pricing and Capacity Decisions

Wang, Ruiting
Hu, Kita
Yu, Yitong
Scott Moura
2026

The transition to electric mobility calls for charging infrastructure that is both efficient and socially equitable. This paper examines fairness in electric vehicle (EV) charging station pricing and capacity through a game-theoretic perspective. We model a non-cooperative market in which competing charging service providers set prices and capacities while customers choose stations based on generalized cost, leading to a market equilibrium. We then benchmark this decentralized outcome against an idealized planner solution that jointly optimizes efficiency and equity. To align market...

Driving Equity: Can Electric Vehicle Carsharing Improve Grocery Access in Underserved Communities? A Case Study of BlueLA

Ziad Yassine
Elizabeth Deakin
Elliot Martin
Susan Shaheen
2025

Carsharing has long supported trip purposes typically made by private vehicles, with grocery shopping especially benefiting from the carrying capacity of a personal vehicle. BlueLA is a one-way, station-based electric vehicle (EV) carsharing service in Los Angeles aimed at improving access in low-income neighborhoods. We hypothesize that BlueLA improves grocery access for underserved households by increasing their spatial-temporal reach to diverse grocery store types. We test two hypotheses: (1) accessibility from BlueLA stations to grocery stores varies by store type, traffic conditions,...

Scalable Optimization for Mobility-Aware Coordinated Electric Vehicle Charging in Distribution Power Networks

Ju, Yi
Li, Lunlong
Wang, Jingchun
Scott Moura
2026

Rapid growth in electric-vehicle (EV) charging demand is placing increasing stress on distribution power networks (DPNs), whose hosting capacity is often limited and spatially uneven. Beyond demonstrating that coordination can help, this paper answers an open question that is central for planners: what is the maximal achievable benefit of EV demand flexibility in reducing overload-driven distribution upgrades at a regional scale? Establishing such an upper bound is computationally challenging, as it entails solving and certifying near-optimal solutions to population-scale optimization...

Model-Agnostic Energy Throughput Control for Range and Lifetime Extension of Electric Vehicles via Cell-Level Inverters

Jiang, Shida
Tao, Shengyu
Molina, Vincent
Shi, Junzhe
Scott Moura
2026

A conventional electric vehicle (EV) powertrain relies on a centralized high-voltage DC-AC inverter, thereby limiting cell-level control and potentially reducing overall driving range and battery lifetime. This paper studies an H-bridge-based cell-level inverter topology that performs power conversion at the cell level, enabling independent control of individual cells and expanding the design space for battery management. Leveraging these additional degrees of freedom, we propose a model-agnostic energy-throughput control strategy that extends EV range while improving battery-pack lifetime...

Defining An Accuracy Limit in Battery State Estimation

Jiang, Shida
Tao, Shengyu
Lee, Jaewoong
Scott Moura
2026

Batteries are everywhere in our daily lives. Their applications span from electronic devices to electric vehicles (EVs) and further to grid-scale energy storage systems. Accurate battery state of charge (SOC) and state of health (SOH) estimations are essential elements of a battery management system (BMS) that ensure the safe and efficient operation of various battery-powered equipment. SOC describes the remaining charge of the battery. It is defined as the ratio of the instantaneous remaining capacity to its present maximum capacity....

Joint Fleet Sizing and Charging System Planning for Autonomous Electric Vehicles

Hongcai Zhang
Colin Sheppard
Tim Lipman
Scott Moura
2020

This paper studies the joint fleet sizing and charging system planning problem for a company operating a fleet of autonomous electric vehicles (AEVs) for passenger and goods transportation. Most of the relevant published papers focus on intracity scenarios and adopt heuristic approaches, e.g., agent based simulation, which do not guarantee optimality. In contrast, we propose a mixed integer linear programming model for intercity scenarios. This model incorporates comprehensive considerations of 1) limited AEV driving range; 2) optimal AEV routing and relocating operations; 3) time-varying...

Charging Infrastructure Demands of Shared-Use Autonomous Electric Vehicles in Urban Areas

Hongcai Zhang
Colin Sheppard
Tim Lipman
Teng Zeng
Scott Moura
2020

Ride-hailing is a clear initial market for autonomous electric vehicles (AEVs) because it features high vehicle utilization levels and strong incentive to cut down labor costs. An extensive and reliable network of recharging infrastructure is the prerequisite to launch a lucrative AEV ride-hailing fleet. Hence, it is necessary to estimate the charging infrastructure demands for an AEV fleet in advance. This study proposes a charging system planning framework for a shared-use AEV fleet providing ride-hailing services in urban area. We first adopt an agent-based simulation model, called BEAM...

Exploring Bidirectional Charging Strategies for an Electric Vehicle Population

Soomin Woo
Leo Strobel
Yuhao Yuan
Marco Pruckner
Tim Lipman
2025

Vehicle-grid integration (VGI) technologies control the energy exchange of electric vehicles (EVs) with power grids for economic and environmental benefits. Despite early investigations, it is still unclear how VGI operations should be designed to balance the goals of mobility needs and electrical grid operational costs. In this paper, our objectives are to examine VGI strategies including bidirectional or vehicle-to-grid (V2G) concepts reflecting realistic operation scenarios, evaluate the performance of the proposed strategies using actual EV charging data and future concepts for hourly...

Economic and Environmental Benefits for Electricity Grids from Spatiotemporal Optimization of Electric Vehicle Charging

Soomin Woo
Zhe Fu
Elpiniki Apostolaki-Iosifidou
Tim Lipman
2021
This article addresses the problem of estimating the potential economic and environmental gains for utility grids of shifting the electric-vehicle (EV) charging time and location. The current literature on shifting EV charging loads has been limited by real-world data availability and has typically therefore relied on simulated studies. Collaborating with a large automobile company and a major utility grid operator in California, this research used actual EV operational data and grid-operation data including locational marginal prices, marginal-grid-emission-rate data, and renewable-energy-...