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An Economic Penalty Scheme for Optimal Parking Lot Utilization with EV Charging Requirements

Authors :
Ruifeng Shi
Jie Zhang
Hao Su
Zihang Liang
Kwang Y. Lee
Source :
Energies, Vol 13, Iss 22, p 6155 (2020)
Publication Year :
2020
Publisher :
MDPI AG, 2020.

Abstract

In the parking lots of public commercial areas, such as shopping malls, hospitals, and scenic spots, the parking spaces with electric vehicle (EV) charging facilities are often occupied by ordinary cars. How to regulate the parking order in the parking lot is a key issue in the operation and management of the parking facilities. In this paper, a method of assessing parking fees for vehicles parked at the charging facilities is proposed based on an economic penalty strategy, including fixed-penalty and dynamic-penalty strategies. First, a traffic flow model of the parking lot in public area is established. Then, a price and consumption model of parking fees and parking lot utilization is established, along with different penalty strategies. Finally, taking the parking lot of a shopping mall as an example, the penalty strategies are optimized through particle swarm optimization (PSO) algorithm. The simulation results show that the method proposed can help to improve the utilization of EV charging facilities in parking lots and guide the orderly parking and charging of EVs at the same time.

Details

Language :
English
ISSN :
19961073
Volume :
13
Issue :
22
Database :
Directory of Open Access Journals
Journal :
Energies
Publication Type :
Academic Journal
Accession number :
edsdoj.b8a98c05a02342c4b840e8922aea8b72
Document Type :
article
Full Text :
https://doi.org/10.3390/en13226155