Design And Research Of Electric Vehicle Charging Navigation System

Energy and environment are two major problems that human beings face in today's society.With the progress of society and economic development,people's living standards are constantly improving.While meeting the people's growing quality of life demands,excessive energy consumption causes the energy shortage and environmental pollution problems have been fully exposed.Electric vehic les that use renewable electricity as a source of power provide new ideas for people to ease their energy and environmental problems.At this stage with the social development of electric vehicle industry,the rapid increase in the number of electric vehicles,whether to provide users with comprehensive,fast,efficient,accurate and friendly service,and whether electric vehicles can ensure large-scale access to the grid charging Grid operation safety and other issues,will become the key factor restricting the development of electric vehicles.This topic puts forward a user-side real-time charging navigation model that takes into account the real-time,fast and accurate needs of emergency charging.Considering the grid-side grid load and grid-side tariff optimization grid-side cost optimization navigation model,it can not only ensure the safe operation demand of the grid side,but also improve the user experience and reduce the cost of electric vehicles.A * algorithm,BP neural network and other classical algorithms are used to solve the problem of short-term traffic flow forecasting.A dynamic path planning model is established,which serves as the basis for the electric vehicle charging navigation model to meet the needs of users' charging navigation clo ud computing technology to build a platform,HTML5 technology platform for cross-platform mobile applications.The realization of electric vehicle charging navigation model requires the integration of grid-side data,charging station operating data,traffic flow,electric vehicle operation data and other related data information.With the development of the electric vehicle industry,a large amount of heterogeneous and heterogeneous data will be generated in the process of multi-source information fusion.When these data are analyzed,stored and calculated,the traditional relational database and stand-alone processing mode can no longer meet the demand.Therefore,this project uses Hadoop open source cloud computing platform to achieve a cloud computing platform based on electric vehicle charging navigation system.HBase distributed database is used to store the load information of the power grid,charging station operation data,traffic flow information and electric vehicle operation data to solve the distributed heterogeneous data storage problem of the system.MapReduce framework to achieve charging navigation algorithm to solve the system in the data processing needs of real-time.According to the questions posed,requirements analysis,model design,syste m design and implementation sequence,the project is gradually being explored and designed using HTML5 technology.A charging APP for electric vehicles that can be applied to mobile devices with different operating systems is implemented.