Research On Energy Consumption Model And Energy-saving Path Planning Of BEV

With the continuous improvement of policy guidance and ecological facilities of the new energy vehicle industry,the market share of BEV is rising.As a vehicle with only single energy source,energy consumption and driving range are the most concerned core indicators of BEV,especially in areas with incomplete charging facilities.In this paper,electric vehicle as the object,with a large number of user ’s data as the source and actual driving conditions to study the change of energy consumption in the cases of complex,according to the characteristics of power system and the energy of air condition system,the vehicle’s energy consumption prediction model is established.Combining with the path planning algorithm to study energy saving route planning.Firstly,this paper research energy consumption and energy flow of BEV on the high and low temperature.The latest energy consumption test rules of EV-TEST,CEVE and GB/T1838-2021 are compared,we developed a reasonable testing procedure of high and low temperature.Through the test of a vehicle,the influence factor of energy consumption of electric vehicle are analyzed,the significant influence of energy consumption under low temperature is demonstrated,such as air condition system.Factors of energy consumption under complicated driving environment are provedSecondly,this paper studies the energy identification model and air condition system of BEV.A large number of actual driving data were preprocessed,including data cleaning,segmentation and other processing.Information such as vehicle speed and battery power were extracted.Four identification parameters were deduced based on RLS algorithm.In order to improve the adaptability of the energy identification algorithm,a variable forgetting-factor is added to modify the accuracy of the identification results.Aiming at the prediction of air condition system energy under high and low environment,established the relationship between air condition temperature,ambient temperature and consumption data by neural network algorithm based on a large number of experimental data.and the energy consumption model of air conditioning system under different ambient temperature and different application scenarios is established.The energy consumption predict-model of the vehicle is established,including the power system and air condition consumption model.Finally,the application of A * algorithm in EV ’s energy-saving path planning is studied.First,the real map is simplified into a topological map,through which location information and node information can be obtained,the typical driving conditions of each road section are established to calculate the comprehensive energy consumption with PCA and K-means algorithm.The energy model predicts the energy consumption of each path,the energy optimal and time optimal paths are considered at the same time.On the basis of the route planning,the special circumstance in the actual driving process of the vehicle are further considered,such as the lack of energy of battery.In another words,vehicle can not complete the planed route.In this paper,two principles are proposed to achieve the optimal consumption : segmental planning and overall optimization of consumption.