Reliability Analysis of DC EV Charging Stations for E-Mobility
Conference
Masum, MI, Chen, S, Kiran, DSH et al. (2024). Reliability Analysis of DC EV Charging Stations for E-Mobility
. IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 10.1109/IECON55916.2024.10905947
Masum, MI, Chen, S, Kiran, DSH et al. (2024). Reliability Analysis of DC EV Charging Stations for E-Mobility
. IECON 2020: THE 46TH ANNUAL CONFERENCE OF THE IEEE INDUSTRIAL ELECTRONICS SOCIETY, 10.1109/IECON55916.2024.10905947
This research paper discusses the reliability analysis of Direct Current (DC) Electric Vehicle (EV) charging stations, focusing on their crucial role in advancing sustainable transportation. Utilizing Continuous Markov Processes, the methodology assesses the dependability of key components in DC charging systems, such as inverters, resonant circuits, transformers, and rectifiers. Real-world operational data and failure rates derived from MIL-HDBK-217 are employed for analysis, and the study utilizes the Markov process to model the system’s dynamic behavior, presenting results that affirm the high reliability (0.9993) of the DC charging infrastructure over a ten-year period. The impact of different Mean Time to Repair (MTTR) on system reliability is considered. The reliability analysis is conducted using dedicated software designed for Markov modeling and system reliability assessment.
