Allocation of the inductive charging system for bus rapid transit network

Research output: Chapter in Book/Report/Conference proceedingConference contribution book

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 languageEnglish
Title of host publication2020 IEEE International Smart Cities Conference (ISC2)
Place of PublicationPiscataway, NJ
PublisherIEEE
Pages1-8
Number of pages8
ISBN (Electronic)9781728182940
ISBN (Print)9781728182957
DOIs
Publication statusPublished - 29 Oct 2020
Event IEEE International Smart Cities Conference - , United States
Duration: 28 Sep 20201 Oct 2020
https://attend.ieee.org/isc2-2020/

Conference

Conference IEEE International Smart Cities Conference
Abbreviated titleSC2
Country/TerritoryUnited States
Period28/09/201/10/20
Internet address

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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