RESEARCH PAPER
The selection of an electric vehicle for the existing photovoltaic system - case study in Polish climatic conditions
1
Department of Transportation and Informatics, WSEI University, Polska
2
Department Transportation and Informatics, WSEI University, Polska
Submission date: 2023-11-06
Final revision date: 2024-01-15
Acceptance date: 2024-02-04
Publication date: 2024-03-28
Corresponding author
Arkadiusz Małek
Department of Transportation and Informatics, WSEI University, Projektowa 4, 20-209, Lublin, Polska
Department of Transportation and Informatics, WSEI University, Projektowa 4, 20-209, Lublin, Polska
The Archives of Automotive Engineering – Archiwum Motoryzacji 2024;103(1):38-56
KEYWORDS
TOPICS
Fuels and energyElectric vehiclesTransport infrastructureElectric vehicle motors and drive systemsElectric vehicle power supply systems
ABSTRACT
The article presents an algorithm for selecting an electric vehicle for your photovoltaic system. Generating electricity by distributed photovoltaic systems is a very visible trend across Europe. Individual and institutional owners are looking for opportunities to save large amounts of money spent on the purchase of electricity. Many times they have built a photovoltaic system larger than their current energy needs. The author suggests a solution to increase the energy produced for own needs instead of giving it to the power grid at unfavorable prices. Such a solution is the purchase of an electric vehicle that will be charged with surplus energy. Research on the selection of a vehicle for a photovoltaic system should start with a precise profile of the current energy consumption from the power grid, energy production from the photovoltaic system and transferring its excess to the power grid. The next step is to characterize the potential electric vehicle. Such characteristics include determination of the energy capacity of the traction battery and the methods of its charging. The final stage is the analytical confirmation of the choice made. For this purpose, the Metalog family of distributions was used to determine the probability of generating the appropriate hourly amount of energy needed to charge an electric vehicle.
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