Electric Bus Mileage Estimation Expert System Based On Remote Monitoring

With the increasingly serious problem of energy and environment,new energy vehicles have gradually become the mainstream of the automotive industry.In the current new energy vehicles,pure electric vehicles are widely used.Pure electric vehicles have the features in "low noise","zero emissions",smooth driving,energy saving and environmental protection,which allows people to accept it quickly.However,the rapid development of pure electric vehicles also has many problems at the same time.Inaccurate estimation of the remaining mileage is a common problem and it is also difficult to be solved at present.In the current pure electric vehicles,there is a widespread inaccurate estimation of the remaining mileage of the vehicle,which may cause "mileage anxiety" to the users even though the mileage is not reached yet and the electricity is depleted.Therefore,accurate estimation of the remaining mileage of pure electric vehicles is of great significance and can promote the universal development of pure electric vehicles.This research object of the artcile is pure electric bus.Research on the bus,the advantage is that vehicles follow a fixed route,there are certain rules to follow.The disadvantage is that vehicles go and stop now and then,resulting in the average speed can not be accurately predicted,and more uncertain factors exist.The research of this paper is based on the data analysis of pure electric bus.By collecting the operating data of pure electric bus such as the state of charge(SOC),current,voltage,temperature,driving speed and working state of the battery,and then establish an expert system based on data analysis to complete the remaining mileage estimation and analysis.First of all,this paper introduces and analyzes the parameters and characteristics of the power battery for pure electric bus.The basic parameters,structure and working principle of lithium iron phosphate battery are introduced.Combined with the discharge curve of lithium iron phosphate battery under normal conditions,the discharge characteristics of the discharge curve were analyzed in detail,preparing for the post-study of the remaining mileage.Secondly,the data of pure electric bus are analyzed.By the partial correlation analysis,the main factors and secondary factors that influence the mileage are determined.The introduction of the concept of electricity consumption rate per kilometer helps to analyze the impact of various factors on the remaining mileage.Model the remaining mileage estimates and obtain the model formula to estimate the remaining mileage.Then,the paper introduces the establishment of knowledge base and reasoning machine in two core parts of expert system,and also introduces the knowledge acquisition and presentation methods,reasoning methods and methods of pure electric bus expert system,and lists its reasoning and flow chart for the expert system.Finally,the development platform and the realized functions of the pure electric bus expert system are introduced.Realize the estimation of the remaining mileage of the vehicle and verify the estimation model by error analysis.The verification results show that the pure electric vehicle expert system has a high reference value for estimating the remaining mileage.Finally,the impact of different factors on the remaining mileage is analyzed and the conclusion is drawn.