Optimal Mileage of Electric Vehicles Considering Range Anxiety and Charging Times

This paper aims to find out the optimal mileage of battery electric vehicles (BEVs) by considering the trade-off between range anxiety and charging times, since frequent charging is a customary way to ease range anxiety for BEV drivers in practice, but declines the life cycle of battery and increase...

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Main Authors: Xiuhong He, Yingying Hu
Format: Article
Language:English
Published: MDPI AG 2023-01-01
Series:World Electric Vehicle Journal
Subjects:
Online Access:https://www.mdpi.com/2032-6653/14/1/21
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author Xiuhong He
Yingying Hu
author_facet Xiuhong He
Yingying Hu
author_sort Xiuhong He
collection DOAJ
description This paper aims to find out the optimal mileage of battery electric vehicles (BEVs) by considering the trade-off between range anxiety and charging times, since frequent charging is a customary way to ease range anxiety for BEV drivers in practice, but declines the life cycle of battery and increases the charging cost. We propose a power function to measure the range anxiety and then solve two types of optimal mileages. The results show that the increment of BEVs’ cruising range increases the optimal absolute mileage but decreases the optimal relative mileage, while the improvement of the driver’s tolerance to range anxiety increases both. It is concluded that improving the driver’s tolerance, such as by expanding charging infrastructures and raising drivers’ practical experience with BEVs, is more effective than the increment of BEVs’ cruising range. The findings help to understand the optimal mileage of EVs and provide recommendations on the design of BEVs’ cruising range.
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spelling doaj.art-e9415c62112a40768400fd062de460782023-12-01T01:19:38ZengMDPI AGWorld Electric Vehicle Journal2032-66532023-01-011412110.3390/wevj14010021Optimal Mileage of Electric Vehicles Considering Range Anxiety and Charging TimesXiuhong He0Yingying Hu1School of Management, Wuhan Textile University, Wuhan 430200, ChinaSchool of Information Management and Statistics, Hubei University of Economics, Wuhan 430205, ChinaThis paper aims to find out the optimal mileage of battery electric vehicles (BEVs) by considering the trade-off between range anxiety and charging times, since frequent charging is a customary way to ease range anxiety for BEV drivers in practice, but declines the life cycle of battery and increases the charging cost. We propose a power function to measure the range anxiety and then solve two types of optimal mileages. The results show that the increment of BEVs’ cruising range increases the optimal absolute mileage but decreases the optimal relative mileage, while the improvement of the driver’s tolerance to range anxiety increases both. It is concluded that improving the driver’s tolerance, such as by expanding charging infrastructures and raising drivers’ practical experience with BEVs, is more effective than the increment of BEVs’ cruising range. The findings help to understand the optimal mileage of EVs and provide recommendations on the design of BEVs’ cruising range.https://www.mdpi.com/2032-6653/14/1/21range anxietycharging timeselectric vehiclesoptimization
spellingShingle Xiuhong He
Yingying Hu
Optimal Mileage of Electric Vehicles Considering Range Anxiety and Charging Times
World Electric Vehicle Journal
range anxiety
charging times
electric vehicles
optimization
title Optimal Mileage of Electric Vehicles Considering Range Anxiety and Charging Times
title_full Optimal Mileage of Electric Vehicles Considering Range Anxiety and Charging Times
title_fullStr Optimal Mileage of Electric Vehicles Considering Range Anxiety and Charging Times
title_full_unstemmed Optimal Mileage of Electric Vehicles Considering Range Anxiety and Charging Times
title_short Optimal Mileage of Electric Vehicles Considering Range Anxiety and Charging Times
title_sort optimal mileage of electric vehicles considering range anxiety and charging times
topic range anxiety
charging times
electric vehicles
optimization
url https://www.mdpi.com/2032-6653/14/1/21
work_keys_str_mv AT xiuhonghe optimalmileageofelectricvehiclesconsideringrangeanxietyandchargingtimes
AT yingyinghu optimalmileageofelectricvehiclesconsideringrangeanxietyandchargingtimes