Cheng, S., Wei, Z., Shang, D., Zhao, Z. and Chen, H. (2020) Charging Load Prediction and Distribution Network Reliability Evaluation Considering Electric Vehicles’ Spatial-Temporal Transfer Randomness. IEEE Access, 8, 124084-124096.
https://doi.org/10.1109/ACCESS.2020.3006093

has been cited by the following article:

• TITLE: Fault Tree Analysis of the Reliability of Electric Vehicles in India

  AUTHORS: Ritu Gupta

  KEYWORDS: Electric Vehicle, Fault Tree, Monte Carlo Simulation, EV Component Analysis

  JOURNAL NAME: Journal of Applied Mathematics and Physics, Vol.11 No.7, July 25, 2023

  ABSTRACT: Innovations for electric vehicles have advanced quickly in latest decades. Large-scale business use of these vehicles is still constrained by reliability-related issues. By utilising fault tree (FT) and Monte Carlo simulation, a mathematical prototype is created that includes the reliability traits of all major electrical parts of the vehicle system, including the battery, motor, drive, controllers. The research demonstrates that by raising the component restoration rates, the vehicle’s survivability can be raised. A thorough discussion of this paradigm is provided, along with a presentation and analysis of the reliability estimations based on an electric vehicle. This research on the reliability design and maintenance of an electric vehicle can be supported by the ideas that are outlined in the paper. Additionally, the findings of this study may be helpful to those who build electric vehicle, especially when upgrading the components efficiency and planning for reliability increase.