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DOI Prefix: 10.47001/IRJIET
Vol 10 No 5 (2026): Volume 10, Issue 5, May 2026 | Pages: 505-512
International Research Journal of Innovations in Engineering and Technology
OPEN ACCESS | Research Article | Published Date: 26-05-2026
The transition towards an electric vehicle ecosystem represents a strategic approach to mitigating greenhouse gas emissions from the transportation sector. The success of this transition is highly dependent on the availability and operational reliability of Public Electric Vehicle Charging Stations (SPKLU). This study aims to evaluate the reliability level of the SPKLU system and determine the optimal maintenance intervals by integrating the Failure Mode and Effect Analysis (FMEA) and Reliability Block Diagram (RBD) methods. Qualitative analysis through FMEA indicates that operational failures are primarily driven by short circuits, overheating, extreme weather conditions, physical impacts, and component corrosion. Based on the Risk Priority Number (RPN) calculations, the charging cable and connector, surge protection, circuit breaker, and power contactor are classified as the most critical components. Furthermore, quantitative modeling utilizing the RBD method with a series configuration yields partial reliabilities of 50.00% for the charging subsystem, 36.78% for the control and monitoring subsystem, and 67.36% for the communication subsystem. Consequently, the overall reliability of the SPKLU system is critically low at 12%. To minimize downtime and prevent unexpected breakdowns, this study recommends implementing preventive periodic maintenance every 156.084 hours for the charging subsystem, 181.678 hours for the communication subsystem, and 218.518 hours for the control and monitoring subsystem.
SPKLU, System Reliability, Failure Mode and Effect Analysis (FMEA), Reliability Block Diagram (RBD), Maintenance Interval.
Gunawan Dwi Haryadi, & Ismoyo Hartanto. (2026). Analysis of System Reliability at Public Electric Vehicle Charging Stations (SPKLU) Using Failure Mode and Effect Analysis and Reliability Block Diagram Methods. International Research Journal of Innovations in Engineering and Technology - IRJIET, 10(5), 505-512. Article DOI https://doi.org/10.47001/IRJIET/2026.105070
This work is licensed under Creative common Attribution Non Commercial 4.0 Internation Licence
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