Design of Fault Diagnosis and Maintenance Algorithm for New Energy Vehicles Based on Markov Model

With the continuous improvement of China's technological level, the development of new energy vehicles has also made great progress. Compared with traditional cars, the advantages of new energy vehicles are more prominent and have received widespread attention. However, due to the fact that the development of new energy vehicles is still in its infancy in China, there are still some issues with related technologies. In this regard, this article diagnoses new energy vehicle faults based on Markov models and designs maintenance algorithms. According to the switch closure characteristics of relay devices, various relay fault modes are analyzed, and relay fault diagnosis is clearly handled. This enables new energy vehicles to more accurately identify the problem and develop effective solutions in a timely manner during the fault diagnosis process. The research results indicate that in the detection process of fault recognition rate, the recognition rate of DL (Deep Learning) method is much lower than that of the method in this paper. It can be seen that the method in this paper has significantly improved the fault recognition rate, reaching a maximum accuracy of 90%. It can be seen that the method in this paper has basically achieved the goal of fault diagnosis.