Study On The Energy Control Strategy Of Hybrid Vehicle Based On The Driving Cycle Of Actual City

While the automobile brings convenience to human beings,it also brings the energy problem and pollution problem to the society,and it is urgent to reduce the emission pollution of automobile.Hybrid vehicles can inherit the advantages of the traditional car range,but also can carry forward the advantages of no emissions of electric vehicles,which is a feasible solution to energy and pollution problems.Many scholars have chosen to simulate in NEDC,UDDS and other drive cycles when they study hybrid vehicles,which are quite different from the actual urban operating conditions in China,which will lead to the simulation results not suitable for the analysis of the performance of hybrid vehicles in practical application.This study studies the control strategy of hybrid vehicles from the driving conditions in Xi’an.In this study,the study was conducted on parallel hybrid vehicles.First of all,in the ADVISOR simulation software,build a simulation model of the components of parallel hybrid vehicles,calculate the parameters of the engine,motor and energy storage system,determine the type and parameters of each power component.Secondly,the traffic data of small cars in Xi’an city is collected and processed,and the pre-processed driving data is used to analyze the PCA and the K-Means cluster analysis method to synthesize the comprehensive working conditions of small cars in Xi’an.Finally,the fuzzy controller with demand torque and battery SOC as input and engine torque as the output controls the energy distribution of hybrid vehicles in matlab,and the fuzzy controller designed is applied to the parallel hybrid vehicle model in the ADVISOR simulation software,and the driving condition data of Xi’an is called for simulation.Analysis and simulation results show that the built vehicle model and fuzzy controller meet the requirements of the automobile design,and can keep the range of battery SOC change within a reasonable range.Under the fuzzy control strategy,hybrid vehicles have a top speed of 203km/h,a maximum climbing slope of 30% and an acceleration time of 0-100km/h of 10.9s to meet the power requirements.And compared with the motor assistant control strategy that comes with ADVISOR,fuzzy control strategy can effectively adjust the operating point of the engine,make the engine work as much as possible in the high-efficiency area,reduce the fuel consumption of the car by 2.004L/100 km,Reduce NOx emissions by 8.90%,and improve emissions.