Design Of Intelligent Early Warning System For Remote Operation And Maintenance Of Electric Commercial Vehicle Powertrain

As the core component of the pure electric commercial vehicle drive system,the powertrain is mainly composed of on-board high-performance motors,motor controllers and transmissions.Its working status has a direct impact on whether the vehicle can be used normally,so the failure of the powertrain is found in time and to make the correct disposal is of great significance.Based on the data acquisition module,this paper collects and wirelessly transmits the real-time mechanical and electrical parameters of the powertrain,and processes and analyzes the data at the remote end to extract fault information from it,and perform early warning and identification of faults,so as to complete the monitoring of the health status of the powertrain,so that the powertrain failure problem can be found in time.Collecting and analyzing data in a wireless manner is not only of great significance to the vehicle itself,but also to the powertrain manufacturer,mastering the real-time work data and first-hand fault data of one’s own products is of great significance to the after-sales and upgrade of the products.For large-scale car-using companies,early knowledge of the fault information can promptly replace or repair the faulty vehicle,which not only solves the time problem,but also greatly reduces the economic loss.Based on the above content,this subject established an intelligent early warning system for remote operation and maintenance of electric commercial vehicle powertrain.First of all,this article analyzes the structure and data interaction of the powertrain,combined with the information consulted and the suggestions of people in the relevant fields,and identified three faults that need specific analysis,Stator winding inter-turn short-circuit fault,Bearing failure,Motor controller over temperature fault.According to the three types of faults and the actual situation of data collection,the types of parameters to be collected are determined,and support vector machines are used to analyze the data.Secondly,established a remote data acquisition system,mainly from two aspects: data acquisition and display,and database application system.Configure the parameters of the remote data acquisition module and develop the software program,so that the data acquisition system can collect the relevant data of the vehicle,send it wirelessly,and display the data value and data graph on the software side.Perform basic configuration work on the Access database,and select the Database Connectivity Toolkit toolkit to establish an interactive channel with the main program to complete the development of the database application program,so that the data can be stored and called normally.Thirdly,a data analysis system was established,Based on the detailed analysis of the support vector machine algorithm,the binary tree SVM algorithm structure was selected and the program was edited.Combined with the edited data preprocessing and vector construction programs,the fault diagnosis based on real-time data and database data is completed,and it is displayed concisely and clearly on the designed human-computer interaction interface.Finally,in view of the characteristics of the entire system program,the event state machine architecture was selected to integrate all sub-modules,and the user login and management unit program was developed,and the design of intelligent early warning system for remote operation and maintenance of electric commercial vehicle powertrain was completed.Based on the entire system,a bench test was carried out to verify the actual application performance of the system.From the test results,it can be known that the system can work normally and meet the actual use requirements.