A Study on the Reliability of Online Upgrade System for Vehicle ECU using Markov Models

نویسندگان

  • Anyu Cheng
  • Liangbo Xiong
  • Min Xiang
  • Yao Wang
چکیده

In order to solve the problem that online upgrade system for vehicle ECU (Electronic Control Unit) has poor reliability and stability, this paper presents a reliability assessment model based on Markov mathematical model. According to the practical operation of online upgrade system, this paper divided the work state of the system into eight kinds such: normal running state, equipment failure state, hardware failure state, and so on, and builts an assessment model of system reliability combined with Markov mathematical model. In our study we used the method of frequency and duration to analyze the reliability of online upgrade system, and calculated the probability of each steady state by Laplace transformation and its properties. Based on this, the available rate, unavailable rate, failure frequency, mean time between failures, mean time to repair and other series of reliability indices of the system were caculated. The results show that this model has quantitative assessment of the reliability of the online upgrade system, and has strong practical significance.

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تاریخ انتشار 2016