Electric Vehicles

Highway Electrification and Automation Technologies - Regional Impacts Analysis Project: Executive Summary

Scag
Path
1993

The Highway Electrification and Automation Technologies Regional Impacts Analysis Project (HE&A) addressed the transportation-related problems of freeway congestion, air pollution, and dependence on fossil fuels in southern California. The impacts of roadway electrification and highway automation were investigated to determine to what extent these advanced technologies could alleviate these problems. For the highway electrification technology, utility, environmental, and economic impacts were also studied. The feasibility of implementing one or more demonstrations in the six-county...

Feasibility Study of Advanced Technology HOV Systems: Volume 2a: Feasibility of Implementing Roadway Powered Electric Vehicle Technology in El Monte Busway: A Case Study

Chira-Chavala, Ted
Lechner, Edward H.
Empey, Dan M.
1992

This study investigates issues concerning the implementation and impacts of lateral guidance/control systems and the phased implementation of these systems in exclusive-access High Occupancy Vehicle (HOV) lanes. The study is divided into 5 volumes. The objectives of each volume are as follows: Vol. 1: identify strategies for early deployment of longitudinal control technologies on the highway, and to evaluate potential impacts of these strategies on traffic operation, highway capacity, and traffic accidents. Vol. 2A: assess the feasibility of early deployment of Roadway Powered Electric...

Evaluation of Potential Hybrid Electric Vehicle Applications: Vol. II

Gris, Arturo
1991

Identifies potentially promising market segments for electric and hybrid vehicle technologies; covers topics including energy and power requirements, battery and range extender, propulsion system, and air conditioning

Evaluation of Potential Hybrid Electric Vehicle Applications: Vol I

Gris, Arturo E.
1991

Identifies potentially promising market segments for electric and hybrid vehicle technologies; covers topics including energy and power requirements, battery and range extender, propulsion system, and air conditioning

Design, Modeling and Control of Steering and Braking for an Urban Electric Vehicle

Maciua, Dragos
1996

This report describes research which involved the design modification, modeling and control of automatic steering and braking systems for an urban electric vehicle. The vehicle is equipped with four-wheel independent drive, four-wheel independent braking and four-wheel steering. Control algorithms were developed for steering and braking. Simulation results show the feasibility of the algorithms.

Data-Driven Energy Management Strategy for Plug-in Hybrid Electric Vehicles with Real-World Trip Information

Choi, Yongkeun
Guanetti, Jacopo
Moura, Scott
Borrelli, Francesco
2020

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 efficiency by learning control policies from completed trips. The proposed EMS consists of two layers, a cloud layer and an on-board layer. The cloud layer has two main tasks: the first task is to learn EMS policy parameters from historical trip data, and the second task is to provide the policy parameters along a certain route requested from the vehicle. The onboard layer receives the learned policy parameters...

Charging up the Central Coast: Policy Solutions to Improve Electric Vehicle Charging Access in Watsonville

Sarode, Shruti, MS
Segal, Katie, MPP
Elkind, Ethan, JD
2023

California's goal to eliminate internal combustion engine sales by 2035 poses challenges for lower- and moderate-income residents, hindering their access to electric vehicles (EVs). Barriers include limited EV charging stations, exacerbated by lower home ownership and inadequate grid infrastructure in lower-income communities. To address this, UC Berkeley School of Law's Center for Law, Energy & the Environment (CLEE) partnered with the City of Watsonville. Due to its location, demographics, and ambitious policy goals, Watsonville represents a potential model and case study for...

Quantifying EV Battery End-of-Life Through Analysis of Travel Needs with Vehicle Powertrain Models

Saxena, Samveg
Le Floch, Caroline
MacDonald, Jason
Moura, Scott
2015

Electric vehicles enable clean and efficient transportation, however concerns about range anxiety and battery degradation hinder EV adoption. The common definition for battery end-of-life is when 70–80% of original energy capacity remains, however little analysis is available to support this retirement threshold. By applying detailed physics-based models of EVs with data on how drivers use their cars, we show that EV batteries continue to meet daily travel needs of drivers well beyond capacity fade of 80% remaining energy storage capacity. Further, we show that EV batteries with...

Integrating Traffic Velocity Data into Predictive Energy Management of Plug-in Hybrid Electric Vehicles

Sun, Chao
Sun, Fengchun
Hu, Xiaosong
Hedrick, J. Karl
Moura, Scott
2015

Recent advances in the traffic monitoring systems have made traffic velocity information accessible in real time. This paper proposes a supervised predictive energy management framework aiming to improve the fuel economy of a power-split plug-in hybrid electric vehicle (PHEV) by incorporating dynamic traffic feedback data. Compared with conventional model predictive control (MPC), an additional supervisory state of charge (SOC) planning level is constructed in this framework. A power balance PHEV model is developed for this upper level to rapidly generate optimal battery SOC trajectories,...

Is Electric Vehicle Carsharing for Everyone? From Activity Patterns to User Retention

Yassine, Ziad
Martin, Elliot
Shaheen, Susan
2025

This research explores the user dynamics of electric vehicle (EV) carsharing within underserved communities, focusing on BlueLA, a one-way station-based EV carsharing service in Los Angeles, California. This study employs a mixed-methods approach to evaluate how activity patterns differ between BlueLA member types and how membership type influences user retention rates. We conduct an exploratory data, clustering, and survival analyses, using BlueLA trip activity data, supplemented by insights from a user survey and a general population survey. Our results reveal distinct travel behaviors...