| With the electric bicycle becoming the best tool for short-distance travel,the related charging pile industry has also been developing rapidly.At present,electric bicycle charging piles are generally installed in the special area of gated communities,like carport and basement.Because the terminal only provides 220 V power to the socket,users need to bring their own charger when they have to charge.In the early stage of application,with its centralized power supply method,the electric bicycle charging pile system did solve the safety problems brought about by the user’s wire pulling and random parking.However,with more and more people choosing to charge over the night,under the circumstance that the device doesn’t have the ability to process the total power data which is the only data the terminal can get,the hidden danger of overcharging caused by the charging pile’s inability of accurately monitoring the battery status has become an industry problem that needs to be solved urgently.Therefore,this thesis proposes a charging pile gateway based on edge computing for the existing charging pile system.Compared with the traditional cloud computing,this gateway is much closer to the data source,so it can provide various distributed edge computing services for the power supply terminal.In these deployable edge applications,this thesis designed a gateway inflection detect algorithm based on the idea of detecting the trend characteristic,and the user’s data model is constructed.Based on the above work,the application step of the edge computing gateway in preventing overcharging and undercharging is given.Then,the communication and data processing part of the gateway is designed in detail.Finally,the user’s data obtained by field test prove the feasibility of the gateway on solving the charging pile’s existing problems.The main research contents are as follows:1.The problems in the existing charging pile system are analyzed.And based on the model and architecture of edge computing,an edge computing gateway that can be used for battery life prediction and data integration is proposed.Finally,taking the prevention of overcharge and undercharge problems as the entry point,the requirements of the design details in the scheme are analyzed,additionally,thegeneral design scheme of the gateway in this thesis is given.2.According to the data flow direction,the power sampling circuit is improved to ensure the accuracy of the data source.On this foundation,sliding median filter method is performed to get the power data pre-treated,and the gateway data analysis algorithm is further designed to build user’s data model,which gives the charging pile the ability to judge the current charging stage.3.According to the previous gateway requirement analysis,based on the data analysis algorithm,the edge computing gateway in this thesis is designed in detail from three aspects: upstream mobile communication,downstream automation networking and data processing center.All the hardware platform selection and software function realization of each part are completed.4.From the terminal and cloud server deployment aspects,the smooth access design of the gateway in the existing charging pile system is completed.In the field test,user’s charging data before and after the gateway’s access are counted.The test results show that the gateway based on edge computing in this thesis does really can provide the power pile terminal with the ability to accurately judge the charging stage.Thus,the problem of overcharge and undercharge of electric bicycles on the charging pile rarely occurs. |
