Allocation of the inductive charging system for bus rapid transit network

Adedayo Asaolu; Stuart Galloway; Calum Edmunds

doi:10.1109/ISC251055.2020.9239053

Allocation of the inductive charging system for bus rapid transit network

Adedayo Asaolu, Stuart Galloway, Calum Edmunds

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution book

1 Citation (Scopus)

Abstract

This paper proposes a multi-terminal allocation of inductive charging infrastructure for the public bus transit network using Lagos bus rapid transit as a case study. The charging model is formulated as a mathematical optimisation problem that allocates multi-terminal based inductive chargers for the transit network. The formulated optimisation problem is solved using a particle swarm optimisation algorithm. The results indicate that the allocation of the inductive chargers to transit system is more cost-efficient and reduce the battery size of the battery-electric bus when the bus terminals in a transit route are of equal distance from each other.

Original language	English
Title of host publication	2020 IEEE International Smart Cities Conference (ISC2)
Place of Publication	Piscataway, NJ
Publisher	IEEE
Pages	1-8
Number of pages	8
ISBN (Electronic)	9781728182940
ISBN (Print)	9781728182957
DOIs	https://doi.org/10.1109/ISC251055.2020.9239053
Publication status	Published - 29 Oct 2020
Event	IEEE International Smart Cities Conference - , United States Duration: 28 Sept 2020 → 1 Oct 2020 https://attend.ieee.org/isc2-2020/

Conference

Conference	IEEE International Smart Cities Conference
Abbreviated title	SC2
Country/Territory	United States
Period	28/09/20 → 1/10/20
Internet address	https://attend.ieee.org/isc2-2020/

Keywords

battery-electric bus
charging infrastructure
optimisation
electric vehicle
transport electrification
inductive charger
smart cities
mathematical model
rapid transit systems
particle swarm optimisation

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10.1109/ISC251055.2020.9239053

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@inproceedings{a27fa48ec4b544fe8ea928cf238b8616,

title = "Allocation of the inductive charging system for bus rapid transit network",

abstract = "This paper proposes a multi-terminal allocation of inductive charging infrastructure for the public bus transit network using Lagos bus rapid transit as a case study. The charging model is formulated as a mathematical optimisation problem that allocates multi-terminal based inductive chargers for the transit network. The formulated optimisation problem is solved using a particle swarm optimisation algorithm. The results indicate that the allocation of the inductive chargers to transit system is more cost-efficient and reduce the battery size of the battery-electric bus when the bus terminals in a transit route are of equal distance from each other.",

keywords = "battery-electric bus, charging infrastructure, optimisation, electric vehicle, transport electrification, inductive charger, smart cities, mathematical model, rapid transit systems, particle swarm optimisation",

author = "Adedayo Asaolu and Stuart Galloway and Calum Edmunds",

year = "2020",

month = oct,

day = "29",

doi = "10.1109/ISC251055.2020.9239053",

language = "English",

isbn = "9781728182957",

pages = "1--8",

booktitle = "2020 IEEE International Smart Cities Conference (ISC2)",

publisher = "IEEE",

note = " IEEE International Smart Cities Conference, SC2 ; Conference date: 28-09-2020 Through 01-10-2020",

url = "https://attend.ieee.org/isc2-2020/",

}

TY - GEN

T1 - Allocation of the inductive charging system for bus rapid transit network

AU - Asaolu, Adedayo

AU - Galloway, Stuart

AU - Edmunds, Calum

PY - 2020/10/29

Y1 - 2020/10/29

N2 - This paper proposes a multi-terminal allocation of inductive charging infrastructure for the public bus transit network using Lagos bus rapid transit as a case study. The charging model is formulated as a mathematical optimisation problem that allocates multi-terminal based inductive chargers for the transit network. The formulated optimisation problem is solved using a particle swarm optimisation algorithm. The results indicate that the allocation of the inductive chargers to transit system is more cost-efficient and reduce the battery size of the battery-electric bus when the bus terminals in a transit route are of equal distance from each other.

AB - This paper proposes a multi-terminal allocation of inductive charging infrastructure for the public bus transit network using Lagos bus rapid transit as a case study. The charging model is formulated as a mathematical optimisation problem that allocates multi-terminal based inductive chargers for the transit network. The formulated optimisation problem is solved using a particle swarm optimisation algorithm. The results indicate that the allocation of the inductive chargers to transit system is more cost-efficient and reduce the battery size of the battery-electric bus when the bus terminals in a transit route are of equal distance from each other.

KW - battery-electric bus

KW - charging infrastructure

KW - optimisation

KW - electric vehicle

KW - transport electrification

KW - inductive charger

KW - smart cities

KW - mathematical model

KW - rapid transit systems

KW - particle swarm optimisation

U2 - 10.1109/ISC251055.2020.9239053

DO - 10.1109/ISC251055.2020.9239053

M3 - Conference contribution book

SN - 9781728182957

SP - 1

EP - 8

BT - 2020 IEEE International Smart Cities Conference (ISC2)

PB - IEEE

CY - Piscataway, NJ

T2 - IEEE International Smart Cities Conference

Y2 - 28 September 2020 through 1 October 2020

ER -

Allocation of the inductive charging system for bus rapid transit network

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