Research On Remote Monitoring Platform For Electric Vehicle

With the increasing amount of cars and consumption of fossil fuels,the electric vehicles have become the focus of research.Although great progress on electric vehicle technology has been made by scholars and researchers,there are still difficulties hindering the improvement of security of electric vehicles.Therefore,in the case of the original technology can not have a breakthrough,it is necessary to monitor the operating parameters of electric vehicles.In this thesis,a remote monitoring platform is developed for remote monitoring and data processing of electric vehicles.First of all,an overall scheme of monitoring platform is presented.The monitoring platform is consisted of a host computer(monitoring platform software)and a slave computer(on-board terminal),host computer and slave computer communicate with each other through GPRS and TCP/IP.Then the composition and protocol of GPS and GPRS are introduced.After that,the CAN bus communication protocol between on-board terminal and vehicle is customized to meet the need of monitoring platform.Then the hardware selection and software design are carried out.The key components of the on-board terminal are selected.The STM32F103ZET6 is selected as the central processing chip,which is connected with the GPS module,the wireless communication module and the CAN receiver.Then the control program,GPRS connecting program and GPS data analysis program are completed using C language on Keil platform.After that,in allusion to the problem that the GPS data received by the remote monitoring platform software cannot be correctly related to the digital map,the map matching algorithm is introduced.Based on the analysis of advantages and disadvantages of several commonly used map matching algorithms,an improved weight matching algorithms combined with road topological relation is proposed.At the beginning of the algorithm,the defect point of GPS data are removed,then the circular confidence interval is used to obtain the candidate road set.At the matching stage,four factors including: road topology,the angle between GPS location pointand candidate road,the current vehicle driving direction and the distance between GPS location point and candidate road are taken into consideration.The matching value of each candidate road is calculated and the candidate road with smallest matching value is chosen as the final matching road.At last the real vehicle test result shows that the algorithm has a good matching accuracy.Finally,the monitoring platform software is programmed.First,socket is used to build a TCP/IP server,then according to the design need,the database table of database is designed.After that,the three functions of monitoring platform software are written in VC++ and MapX.A test is carried out to prove that the monitoring platform software can display the data correctly,and the whole monitoring platform works well and meets the monitoring requirements.In this thesis,based on the remote monitoring of electric vehicles,a remote monitoring platform is designed and developed.The design and development of the monitoring platform software and on-board terminal are completed respectively.An improved map matching algorithm is proposed to solve the problem that the GPS data cannot be matched correctly to the digital map.The monitoring platform has reference value for improving the safety of electric vehicles.