Campus Units

Civil, Construction and Environmental Engineering

Document Type

Article

Publication Version

Accepted Manuscript

Publication Date

5-2019

Journal or Book Title

Transportation Research Part C: Emerging Technologies

Volume

102

First Page

474

Last Page

489

DOI

10.1016/j.trc.2019.03.027

Abstract

The behavior of drivers in charging a battery electric vehicle (BEV) can be influenced by psychological factors such as personality and risk preference. This paper proposes a cumulative prospect theory (CPT) based modeling framework to describe the charging behavior of BEV drivers. CPT captures an individual’s attitude and preference toward risk in the decision-making process. A BEV mass-market scenario is constructed using the 2017 National Household Travel Survey (NHTS) data. This paper applies the CPT-based charging behavior model to study the battery state-of-charge (SOC) when drivers decide to charge their vehicles, charging timing and location choices, and charging power demand profile under the mass-market scenario. In addition, sensitivity analyses are used to examine the drivers’ risk attitudes and public charger network coverage. BEV drivers who display a higher degree of risk-seeking tend to charge vehicles at a lower SOC. Some home charging shifts to workplace and public charging as the public charger network expands, but home charging still plays the most significant role in BEV use. The power demand from public chargers increases significantly with BEV expansion and has a larger impact on the power grid. The time-of-use (TOU) electricity rate can shift peak power demand to off-peak periods from midnight to early morning.

Research Focus Area

Transportation Engineering

Comments

This is a manuscript of an article published as Hu, Liang, Jing Dong, and Zhenhong Lin. "Modeling charging behavior of battery electric vehicle drivers: A cumulative prospect theory based approach." Transportation Research Part C: Emerging Technologies 102 (2019): 474-489. DOI: 10.1016/j.trc.2019.03.027. Posted with permission.

Copyright Owner

Elsevier Ltd.

Language

en

File Format

application/pdf

Published Version

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