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  1. بهبود قابلیت اطمینان واحد کنترل موتور خودرو با استفاده از روش های نرم افزاری
بهبود قابلیت اطمینان واحد کنترل موتور خودرو با استفاده از روش های نرم افزاری
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بهبود قابلیت اطمینان واحد کنترل موتور خودرو با استفاده از روش های نرم افزاری

رضازاد، شیوا Rezazad, Shiva

Improving the Reliability of Engine Control Units in Vehicles Using Software Methods

Rezazad, Shiva | 2024

192 Viewed
  1. Type of Document: M.Sc. Thesis
  2. Language: Farsi
  3. Document No: 57521 (19)
  4. University: Sharif University of Technology
  5. Department: Computer Engineering
  6. Advisor(s): Ejlali, Alireza
  7. Abstract:
  8. The increasing number of electronic components in modern vehicles has underscored the critical importance of their safe operation. Among these, the Engine Control Unit (ECU) stands out as a pivotal component, controlling and monitoring the sensors and actuators of vehicles. Given the cyber-physical nature of automotive systems, their computational power can be leveraged to improve vehicle reliability and safety. However, the safety-critical nature of these systems means that component malfunctions could have catastrophic consequences. Consequently, ensuring the reliability and safety of these systems is essential. This research proposes a software-based estimation method designed to improve the reliability of vehicle systems. Our method uses low-overhead regression-based neural network models to enhance reliability and manage physical overhead. We conducted deliberate fault injections to evaluate our system's reliability and compared our proposed approach with two other systems: one without any redundancy and one with Kalman Filter (KF) redundancies. The evaluation of experimental results reveals that the reliability for the base system, the system with KF redundancies, and our proposed approach are 0.372, 0.789, and 0.999999, respectively. These findings demonstrate that our proposed method improves reliability by 0.627999 and 0.210999 compared to the base system without physical redundancies and the system with KF redundancies, respectively. Additionally, the system with KF redundancies shows a 0.417 improvement in reliability over the base system
  9. Keywords:
  10. Automotive Systems ; Cyber-Physical Systems ; Engine Control ; Fault Injection ; Reliability ; Software Fault Tolerance

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