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An internet of vehicles system for remote monitoring and fault diagnosis of automobiles

In the proposed IOV system, there implements a series of valuable functions including real-time emission inspection, vehicle fault alarm and disposal recommendation, automatic maintenance reservation, path to maintenance optimization, driving habits statistics. This system can greatly improve the efficiency, accuracy and instantaneous of the vehicle fault diagnostic and finally the customer satisfaction. | Journal of Automation and Control Engineering Vol. 6, No. 1, June 2018 An Internet of Vehicles System for Remote Monitoring and Fault Diagnosis of Automobiles Guoyou Gao, Chunsheng Jiang, Tao Chen, Chun Hui, Lina Wu China Automotive Technology and Research Center (CATARC), Tianjin, China Hao Huang Hubei Key Lab of Ferro- & Piezoelectric Materials and Devices, Faculty of Physics and Electronic Science, Hubei University, Wuhan, China Email: haohuang@hubu.edu.cn diagnostic interfaces. According to the fault code, the maintenance engineer can quickly and accurately locate the reason of the fault and solve it [4]. Although the OBD system can monitor the real-time behavior of the vehicle, the MIL will be lighted to warn the driver when the fault occurs, but the driver cannot accurately know the details of the vehicle fault. And when the vehicle conditions and road conditions were not good, the driver will not be able to deliver the vehicle to the maintenance point in time. In some cases, although the fault light indicates a fault, the driver cannot clearly recognize the severity of the fault. Some drivers ignore the fault alarm and continue to drive with potential safety problems, it may cause a security accident. The existing OBD fault system can only serve as a local reminder [5]. The specific execution also needs to rely on the consciousness of the driver and cannot effectively monitor and manage the faulty vehicle [6]. Therefore, the vehicle information remote monitoring and failure diagnosis system has become a key way to break the local limitations. The system reads the fault information of the vehicle in real time and transmits the information to the cloud server instantly through the wireless communication network. In the cloud server, classification and analysis of vehicle fault diagnosis algorithms are implemented to analyze the vehicle failure and generate the most efficient disposal method. And then, the analysis results are transmitted to the .