Estimation Of State Of Charge Of Electric Vehicle Battery And Implementation Of Remote Monitoring System

In recent years,with the increasing living standards,people's pursuit for a better life has also promoted the rapid development of the automobile industry.From the perspective of environmental protection in the world,green energy has also become an important development point,so in the future,electric vehicles will also become a major new development trend of the automotive industry.The continuous development of 5G communication has created a better communication space for the Internet,and a better Internet era is coming.Based on this practical social value and practical engineering project,this paper conducts relevant research,mainly focusing on the design and implementation of the SOC estimation and remote monitoring platform for electric vehicles.One of the key research directions of this paper is the design and implementation of estimation algorithm for battery SOC(State of Charge).Firstly,it analyzes and compares the types of battery models,selects the appropriate battery model according to the actual situation,and identifies the relevant resistance and capacity parameters in the battery model.Finally,by Simulink simulation,the reliability of the resistance-capacitance parameters identified is verified.Secondly,there are various SOC estimation algorithms.In the process of selecting the algorithm,through consulting a large number of literatures and engineering case analysis,this paper compares the mathematical principle,data accuracy and engineering implementation difficulty of the commonly used algorithm,and Simulink simulation verification and engineering implementation of various algorithms.Finally,the trackless Kalman filter algorithm is applied to the software platform to complete the SOC estimation task.The hardware part of this paper selects MPC5744 P,a car-level chip of NXP Company,as the core,to complete the corresponding functional requirements with various external hardware modules.And the related function software program is designed and tested.Another key research direction of this paper is the research and development design of remote monitoring platform for electric vehicles,with the purpose of enabling managers to conduct real-time monitoring of vehicle information more conveniently and ensure the operation of electric vehicles is more safe,efficient and orderly.The design takes Java as the core programming language and MVC three-tier architecture as the basic development framework.The project was published through the local Tomcat server,and the My SQL database was used as the data storage platform and cooperated with various technologies and interfaces such as Baidu Map API.Finally,the design and test of the remote monitoring platform on the Web side was completed.After simulation verification and engineering implementation,the SOC estimation algorithm designed and implemented in this paper can meet the requirements of calculation accuracy and running speed in practical engineering.The remote monitoring platform based on Web can complete the corresponding monitoring task,which has certain practical application value and reference significance for the development of electric vehicle industry.