AN OPTIMIZATION MODEL OF MOBILE CHARGING STATIONS TO CHARGE ELECTRIC VEHICLES

The rapid adoption of Electric Vehicles (EVs) presents a challenge in meeting growing charging demands, particularly as Fixed charging stations (FCS) face limitations such as high installation costs and capacity constraints. The EVs will have quite some waiting time when they arrive at the fully occ...

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Main Author: Agustina Hery Indrawati, Dwi
Format: Theses
Language:Indonesia
Online Access:https://digilib.itb.ac.id/gdl/view/86823
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Institution: Institut Teknologi Bandung
Language: Indonesia
id id-itb.:86823
spelling id-itb.:868232024-12-24T12:34:40ZAN OPTIMIZATION MODEL OF MOBILE CHARGING STATIONS TO CHARGE ELECTRIC VEHICLES Agustina Hery Indrawati, Dwi Indonesia Theses electric vehicle, charging, fixed charging station, mobile charging station, optimization, Agent-Based Modelling and Simulation. INSTITUT TEKNOLOGI BANDUNG https://digilib.itb.ac.id/gdl/view/86823 The rapid adoption of Electric Vehicles (EVs) presents a challenge in meeting growing charging demands, particularly as Fixed charging stations (FCS) face limitations such as high installation costs and capacity constraints. The EVs will have quite some waiting time when they arrive at the fully occupied FCS. Mobile charging stations (MCSs) are one of the innovative flexible solutions to augment FCS. MCS can alleviate EV drivers’ range anxiety by carrying batteries traveling to EVs for charging. However, a common issue is the challenge of charging in places with heavy traffic or limited space. This study develops an optimization model for MCS on Batam Island using Agent-Based Modelling and Simulation (ABMS). The optimization is made to place a minimum number of MCSs to minimize the operating costs and charging capacity. Simulation results suggest that deploying MCSs near existing high-traffic FCS can significantly reduce charging queues and improve service distribution, particularly in areas with limited or no FCS coverage. text
institution Institut Teknologi Bandung
building Institut Teknologi Bandung Library
continent Asia
country Indonesia
Indonesia
content_provider Institut Teknologi Bandung
collection Digital ITB
language Indonesia
description The rapid adoption of Electric Vehicles (EVs) presents a challenge in meeting growing charging demands, particularly as Fixed charging stations (FCS) face limitations such as high installation costs and capacity constraints. The EVs will have quite some waiting time when they arrive at the fully occupied FCS. Mobile charging stations (MCSs) are one of the innovative flexible solutions to augment FCS. MCS can alleviate EV drivers’ range anxiety by carrying batteries traveling to EVs for charging. However, a common issue is the challenge of charging in places with heavy traffic or limited space. This study develops an optimization model for MCS on Batam Island using Agent-Based Modelling and Simulation (ABMS). The optimization is made to place a minimum number of MCSs to minimize the operating costs and charging capacity. Simulation results suggest that deploying MCSs near existing high-traffic FCS can significantly reduce charging queues and improve service distribution, particularly in areas with limited or no FCS coverage.
format Theses
author Agustina Hery Indrawati, Dwi
spellingShingle Agustina Hery Indrawati, Dwi
AN OPTIMIZATION MODEL OF MOBILE CHARGING STATIONS TO CHARGE ELECTRIC VEHICLES
author_facet Agustina Hery Indrawati, Dwi
author_sort Agustina Hery Indrawati, Dwi
title AN OPTIMIZATION MODEL OF MOBILE CHARGING STATIONS TO CHARGE ELECTRIC VEHICLES
title_short AN OPTIMIZATION MODEL OF MOBILE CHARGING STATIONS TO CHARGE ELECTRIC VEHICLES
title_full AN OPTIMIZATION MODEL OF MOBILE CHARGING STATIONS TO CHARGE ELECTRIC VEHICLES
title_fullStr AN OPTIMIZATION MODEL OF MOBILE CHARGING STATIONS TO CHARGE ELECTRIC VEHICLES
title_full_unstemmed AN OPTIMIZATION MODEL OF MOBILE CHARGING STATIONS TO CHARGE ELECTRIC VEHICLES
title_sort optimization model of mobile charging stations to charge electric vehicles
url https://digilib.itb.ac.id/gdl/view/86823
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