Research On Power Matching And Energy Management Strategy Of Plug-in Hybrid SUV

Due to the increasing shortage of fossil energy reserves and the increasingly serious environmental pollution situation,energy saving and new energy vehicles have become the current research hotspots.The power of a hybrid vehicle not only comes from the internal combustion engine,but also is compatible with the drive motor.In the process of vehicle operation,it can reduce pollutant emissions and carry out effective energy recovery,which is conducive to improving the energy-saving performance of the vehicle.Plug-in hybrid electric vehicles(PHEV)can charge the battery pack through an external power grid,which further reduces the car’s dependence on fossil fuels,reduces costs,and expands the car’s cruising range.Therefore,it has been granted extensive attention by related industries and scientific research institutions.In the research and development process of plug-in hybrid electric vehicles,matching the main parameters of the drive control system is conducive to improving the dynamic performance of the entire vehicle.Completing the vehicle through intelligent algorithms and optimizing the energy management system is conducive to improving fuel economy and the entire vehicle.Emissions performance.In this paper,through the analysis of the development of hybrid vehicles in the world in recent years,it is determined that the parameter matching and energy management strategy design of parallel plug-in hybrid suvs are the main research content.First of all,when the parameters of the hybrid SUV system are matched,the vehicle dynamics is the target,and the relevant data at home and abroad are referred to.The peak torque,peak power and maximum speed of the drive motor,the total power of the battery pack and the output power are designed.Secondly,the driving performance characteristics of the main power components such as engine,motor and battery in the hybrid power system are analyzed in detail.By comparing the advantages and disadvantages of ordinary motors and batteries,permanent magnet synchronous motors are selected as the driving motors for hybrid suvs,and lithium-ion batteries are used as energy storage devices for vehicles.Use the experimental platform to calibrate the performance curve of the selected power components,which is convenient for the simulation design of the vehicle power system.Finally,in the advisor simulation software,based on the power matching analysis results,a typical hybrid SUV comprehensive simulation model is established,and a fuzzy logic energy management strategy for the hybrid power system is established.Taking the equivalent fuel consumption of the vehicle as the fitness function,a genetic algorithm is used to optimize the fuzzy control rules.Under typical operating conditions,a comprehensive simulation analysis of the vehicle’s power output quality and fuel economy is carried out.The results show that,compared with the hybrid SUV that adopts the traditional power following strategy,each power output element of the vehicle that adopts the fuzzy control energy management strategy can work in a more effective working interval and has better adaptability to complex working conditions.Therefore,the fuzzy control algorithm is conducive to improving the energy-saving performance of hybrid vehicles and improving their low-carbon emission reduction effects.