Study of Reliability and Availability in Autonomous Electric Vehicles
DOI:
https://doi.org/10.5753/jisa.2026.6852Keywords:
Autonomous Electric Vehicles, Reliability Analysis, Stochastic Petri Nets, Reliability Block DiagramsAbstract
The popularity and development of Autonomous Electric Vehicles (AEVs) bring the need to ensure the safety and reliability of these systems. With the increasing adoption of such vehicles, the promise of reducing human errors and improving transportation efficiency is becoming increasingly attainable. However, failures in autonomous vehicle systems can lead to material damage and loss of human life. Minimizing these failures becomes critical to guarantee the safety of passengers and pedestrians. This work employs Reliability Block Diagram (RBD) and Stochastic Petri Net (SPN) models to evaluate the vehicle safety system of a Level 3 AEV. The proposed approach enables the analysis of availability and reliability metrics, identifying potential improvements in system components. The system’s reliability showed a predictable decline over time, allowing for the anticipation of maintenance and necessary enhancements. These results provide valuable insights for AEV developers regarding the optimization of vehicle safety and reliability.
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