Charging Coordination Scheme Using Fuzzy Logic for Electric Vehicles in Smart Parking Lots

The incorporation of electric vehicles will require an adaptation of the infrastructure which should be adapted to the needs of the Plug-in Electric Vehicles (PEV), gas stations and parking lots must be modified to provide a battery charging service that is efficient to satisfy the mobility of its u...

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Bibliographic Details
Main Authors: Cervantes-Hernandez, Andres, Moreno-Goytia, E. L.
Format: Conference Proceeding
Language:English
Subjects:
Batteries
charging coordination
Electric vehicles
Fuzzy logic
Gases
Matlab
Plug-in electric vehicles
Silicon
Silicon compounds
Online Access:Request full text
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Summary:The incorporation of electric vehicles will require an adaptation of the infrastructure which should be adapted to the needs of the Plug-in Electric Vehicles (PEV), gas stations and parking lots must be modified to provide a battery charging service that is efficient to satisfy the mobility of its users. This paper seeks a fuzzy logic PEV load coordination scheme for smart parking lots through some input parameters such as: State-of-Charge (SoC), connection time, maximum energy rate, etc., these parameters can determine at what time it is appropriate to charge a vehicle's battery. The fuzzy logic described in this paper allows assigning a priority score to the PEV by means of rules inferences, although it is difficult to subjectively evaluate which vehicle should be charging first, this can be achieved in a context where only the SoC and the remaining connection time of the load are evaluated. The structure of the system is scalable and flexible, so that more evaluation variables and restrictions can be incorporated to simulate a greater number of operating conditions, the system is built using the Matlab/Simulink® simulation software.
ISSN:2573-0770
DOI:10.1109/ROPEC48299.2019.9057118