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 |
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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 | |
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 |
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Abbreviated title | SC2 |
Country/Territory | United States |
Period | 28/09/20 → 1/10/20 |
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