Design And Research On The Teaching Experimental Bench For Fault Diagnosis Of Pure Electric Vehicles

At present,vigorously developing electric vehicles has become an important way to improve the competitiveness of China’s automobile industry,transform the energy development mode,guarantee energy security and develop low-carbon economy.With the increasing number of electric vehicles,the types and number of existing faults are increasing,and the difficulty of fault detection and handling is also increasing.At present,there are still many shortcomings in the way of pure electric vehicle fault diagnosis and handling,and there is still some room for improvement in the teaching or training of pure electric vehicle fault diagnosis and handling in most universities and related enterprises.Therefore,how to improve the reliability,convenience and safety of fault diagnosis and fault treatment methods for pure electric vehicles has become an urgent problem to be solved.In this paper,by studying the problems in the teaching and industry of pure electric vehicle fault diagnosis at the present stage,a set of pure electric vehicle fault diagnosis experiment bench system is researched and designed and the research exploration and verification of pure electric vehicle fault diagnosis algorithm in terms of effectiveness,accuracy and efficiency are carried out as follows.Firstly,from the current development status of pure electric vehicle fault diagnosis methods,diagnosis systems and automotive maintenance training experimental equipment at home and abroad,the common fault types and causes of faults of pure electric vehicles are analyzed qualitatively,and the whole electric vehicle and the control logic of high and low voltage are introduced in detail.Secondly,the pure electric vehicle fault diagnosis experimental bench is designed to meet the needs of pure electric vehicle fault diagnosis and fault repair of universities and related enterprises,including the overall structure design and wiring design of the pure electric vehicle fault diagnosis experimental bench.For the common faults of pure electric vehicles,the battery manager,motor controller,charging and distribution assembly and the whole vehicle controller are used as examples for fault design,the fault points of this experimental bench are determined,and the development of the control system of the pure electric vehicle fault diagnosis experimental bench is completed.Then,in order to further enhance the application of the lab bench in teaching,the software system of the pure electric vehicle fault diagnosis lab bench is developed,the software development environment of the pure electric vehicle fault diagnosis lab bench and the main functional features of the lab bench are elaborated,the function test of the experimental platform and the use of the lab bench in teaching is introduced,mainly including theoretical teaching function demonstration,virtual simulation teaching function demonstration,and practical training operation function demonstration.The demonstration of practical training operation includes six steps:cognitive training,fault setting,fault phenomenon confirmation,diagnostic instrument to determine the direction of the fault,detection and confirmation of the fault point,troubleshooting and confirmation.Finally,in order to improve the accuracy and speed of fault diagnosis,the teaching effect and the fault diagnosis level of relevant enterprises,the pure electric vehicle itself has some faults that are difficult to diagnose through traditional methods and the students’ confused faults that are difficult to recover due to misoperation when using the experimental platform,a pure electric vehicle fault diagnosis algorithm based on IPSO-BP is studied,and the weights and thresholds of the BP neural network are optimized by the optimized particle swarm algorithm using the optimization strategies of frequency particle swarm,adjusted inertia weights and acceleration constants,so that the improved fault diagnosis algorithm has higher fault diagnosis performance and diagnosis speed.The simulation model of IPSO-BP fault diagnosis algorithm is built in combination with MATLAB software,and the simulation experiment is conducted with the acceleration failure fault of pure electric vehicle as an example,and the two fault diagnosis algorithms of IPSO-BP and PSO-BP are compared.The results show that the IPSO-BP algorithm improves the diagnosis accuracy by 9.09% and the fault diagnosis speed by 2.5 times compared with the traditional PSO-BP algorithm.The IPSO-BP fault diagnosis model established in this paper has higher fault diagnosis accuracy and faster diagnosis speed,which verifies the reliability and advancedness of the model.The pure electric vehicle fault diagnosis experiment bench designed in this research has the ability to integrate the theory and reality teaching,which can significantly improve the teaching and training ability,effectively improve the teaching efficiency and teaching quality,and has high use value for improving the teaching quality of higher education institutions and the training efficiency of related maintenance enterprises.The research of pure electric vehicle fault diagnosis algorithm discussed in this study has excellent pure electric vehicle fault diagnosis ability and can effectively improve fault diagnosis efficiency,which has important research value for improving pure electric vehicle fault diagnosis ability,and has broad application prospects in the future.