Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy

As an alternative to the environmental pollution problem of transportation means, the application of electric tram is considered in urban areas. However, due to the aesthetic problems occurs by the electric supply line for an electric tram, the wireless charging electric tram may be regarded as an a...

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Main Authors: Young Dae Ko, Yonghui Oh
Format: Article
Language:English
Published: MDPI AG 2020-04-01
Series:Sustainability
Subjects:
Online Access:https://www.mdpi.com/2071-1050/12/7/2920
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spelling doaj-157a12feee2a428992d9b5dffad92d452020-11-25T03:37:14ZengMDPI AGSustainability2071-10502020-04-01122920292010.3390/su12072920Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management PolicyYoung Dae Ko0Yonghui Oh1Department of Hotel and Tourism Management, College of Hospitality and Tourism, Sejong University, 209, Neungdong-ro, Gwangjin-gu, Seoul 05006, KoreaDepartment of Industrial and Management Engineering, Daejin University, Pocheon 11159, KoreaAs an alternative to the environmental pollution problem of transportation means, the application of electric tram is considered in urban areas. However, due to the aesthetic problems occurs by the electric supply line for an electric tram, the wireless charging electric tram may be regarded as an alternative. It can be supplied electricity wirelessly from the wireless charging infrastructure installed on the railways even while moving. For a successful application, it is important to install and operate the overall systems with minimum investment cost. In this study, a mathematical model-based optimization technique, one of the methods of operations research, is adopted to derive the decision-making elements such as capacity and management of battery and allocation of the wireless charging infrastructure. Numerical example shows the optimal capacity and management of battery for a wireless charging electric tram and the ideal installation locations of the wireless charging infrastructures.https://www.mdpi.com/2071-1050/12/7/2920mathematical modelwireless chargingbattery capacitybattery managementwireless charging infrastructureregenerative braking
collection DOAJ
language English
format Article
sources DOAJ
author Young Dae Ko
Yonghui Oh
spellingShingle Young Dae Ko
Yonghui Oh
Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy
Sustainability
mathematical model
wireless charging
battery capacity
battery management
wireless charging infrastructure
regenerative braking
author_facet Young Dae Ko
Yonghui Oh
author_sort Young Dae Ko
title Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy
title_short Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy
title_full Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy
title_fullStr Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy
title_full_unstemmed Efficient Deployment Design of Wireless Charging Electric Tram System with Battery Management Policy
title_sort efficient deployment design of wireless charging electric tram system with battery management policy
publisher MDPI AG
series Sustainability
issn 2071-1050
publishDate 2020-04-01
description As an alternative to the environmental pollution problem of transportation means, the application of electric tram is considered in urban areas. However, due to the aesthetic problems occurs by the electric supply line for an electric tram, the wireless charging electric tram may be regarded as an alternative. It can be supplied electricity wirelessly from the wireless charging infrastructure installed on the railways even while moving. For a successful application, it is important to install and operate the overall systems with minimum investment cost. In this study, a mathematical model-based optimization technique, one of the methods of operations research, is adopted to derive the decision-making elements such as capacity and management of battery and allocation of the wireless charging infrastructure. Numerical example shows the optimal capacity and management of battery for a wireless charging electric tram and the ideal installation locations of the wireless charging infrastructures.
topic mathematical model
wireless charging
battery capacity
battery management
wireless charging infrastructure
regenerative braking
url https://www.mdpi.com/2071-1050/12/7/2920
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