Long-term test of an electric vehicle charged from a photovoltaic carport

Author:

Małek Arkadiusz1ORCID,Taccani Rodolfo2ORCID

Affiliation:

1. Department of Transportation and Informatics, University of University of Economics and Innovation in Lublin, Polska

2. Department of Engineering and Architecture, University of Trieste, Italy

Abstract

The article includes experimental investigations of electricity consumption over a distance of 30,000 km by a small city electric vehicle. During that time period, the vehicle was charged in most cases from a photovoltaic carport with a peak power of 3 kWp. The analyses include vehicle mileage and the number of times the battery has been charged during 5 years of operation. In addition, the amount of energy generated by the photovoltaic carport was also measured. During the entire research period, the small electric vehicle was charged with State of Charge (SoC) 50% almost 900 times. Then, an analysis was performed to determine the adequacy of the carport peak power selection for the energy needs of the electric vehicle. Based on an analysis of the amount of electricity produced by the carport during the season of use of the electric vehicle, it may be concluded that the average production of electricity in the selected period is about 2 times higher than that required to fully charge the electric vehicle (100% of SoC). Therefore, when designing the carport, the power required to charge the electric vehicle was correctly forecast.

Publisher

Siec Badawcza Lukasiewicz - Przemyslowy Instytut Motoryzacji

Cited by 5 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

1. Selection of the photovoltaic system power for the electric vehicle;The Archives of Automotive Engineering – Archiwum Motoryzacji;2023-06-30

2. Technological developments in vehicles with electric drive;Combustion Engines;2023-06-15

3. Selection of a Photovoltaic Carport Power for an Electric Vehicle;Energies;2023-03-29

4. Innovative approach to electric vehicle diagnostics;The Archives of Automotive Engineering – Archiwum Motoryzacji;2021-06-30

5. The use of deep recurrent neural networks to predict performance of photovoltaic system for charging electric vehicles;Open Engineering;2021-01-01

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