Research On Crucial Application Technology Of Urban Distributed Battery Swapping Station Under O2O Service Mode

The EV charging and swapping facilities are now in the stage of rapid development,they are gradually developing in business modes and technical means.In the field of private electric vehicles,the development of electric vehicles in scale and commercialization is still facing many bottlenecks due to the current technical level and business modes.How to innovate business mode,enhance the user experience,research the corresponding business mode solution,which becomes a key problem which needs to be solved urgently.Based on the theoretical research and application of engineering project,aiming at the charging and swapping service of private electric vehicles,under the basis of O2O mode,in this paper,O2O service model design,battery application safety,siting method of optimal location,swapping requirement forecasting,swapping dispatching control,related technical issues are analyzed and discussed in depth.This thesis analyzes the current problems of domestic charging and swapping business and mode,puts forward the charging and swapping O2O service mode framework,gives the operation mechanism and value network of charging and swapping O2O service mode,designs the overall innovation scheme of charging and swapping network system,and carries out the engineering application.The security of distributed battery swapping station determines the success or failure of O2O service mode.The safety risk research of lithium battery is carried out,the design synthesis and test of solid-state electrolyte materials Li_5.4Al_0.2PS₅Br and Li_3.8Sb_0.2Sn_0.8S₄ are carried out.The air stability and the performance of the whole battery are evaluated,and the possibility of engineering application is prospected.This paper analyzes the design difficulties of fire safety,an automatic fire-fighting safety design scheme is proposed,and a test platform is built and tested.This thesis puts forward the overall planning and site selection idea,gives the planning steps and location optimization of distributed swapping station,proposes to minimize the replacement the optimization method of charging rate with the target of annual cost of battery in swapping station.Based on the classical K-means clustering algorithm,a distributed location optimization method for swapping stations is designed,and a case study and comparison of a city's layout planning is carried out,and this technology is applied to the actual project to verify.The time-space characteristics of users'swapping requirements under the parking conditions of residence,work place and destination are analyzed,the random swapping requirements model of electric vehicle is established,and the method of swapping requirements forecasting is proposed.The random swapping requirements curve of on working day and non-working day is obtained.This thesis analyzes the O2O service operation mode,establishes the mathematical model of the swapping requirements in the regional grid,a Monte Carlo search tree algorithm is proposed for global optimization.An example is given to analyze and compare a single swapping station in a certain area grid and its corresponding total swapping requirements,and this technology is applied to the actual project to verify.