Reliability Modeling of Different Types of Electric Vehicles in Renewable Applications

Ghaedi, A.; Mahmoudian, M.; Sedaghati, R.

doi:10.22044/rera.2022.11711.1103

Document Type : Original Article

Authors

¹ Islamic Azad University, Kazeroun Branch, Kazeroun, Iran.

² Shiraz University of Technology, Shiraz, Iran.

³ Department of Electrical Engineering, Islamic Azad University, Beyza Branch, Beyza, Iran.

https://doi.org/10.22044/rera.2022.11711.1103

Abstract

The widespread growing of electric vehicles (EVs) in distribution networks could be a variety of challenges and opportunities for the electricity network. This issue is important because the owners of electric vehicles are trying to maximize their profits, which in turn can cause many problems such as increased losses, congestion, increase network costs, etc. in distribution networks. Therefore, it is required to study different aspects of this new technology such as reliability and failure rate. For this purpose, the presented paper introduces a reliability model based on the Markov theory for different types of electric vehicles, and the main novelty is to determine the impact of the failure rate of the composed components of the each electric vehicle on the overall failure of the vehicle. In the proposed reliability models for these electric vehicles, the failure of the main composed components is considered. To compare different types of electric vehicles from reliability point of view, numerical results associated with the reliability evaluation of these vehicles are given. It is deduced from the numerical results associated to the reliability evaluation of different types of electric vehicles that the reliability of the compound plug-in hybrid electric vehicle is more than the other technologies.

Keywords

20.1001.1.2717252.2022.3.2.11.5

Main Subjects

Transformation of Generated Electricity by Renewable Energies to Grid

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Reliability Modeling of Different Types of Electric Vehicles in Renewable Applications

References

References

Volume 3, Issue 2July 2022Pages 255-266

Volume 3, Issue 2
July 2022
Pages 255-266