Research On Integrated Control And Optimization Of Hybrid Electric Vehicle Powertrain

In the context of the deteriorating global environment and serious energy shortage,energy conservation and emission reduction has become the main theme of automobile development.In order to response the long-term goal of "carbon neutralization" and "carbon peak",new energy vehicle with low fuel consumption and low emission have become the key direction of the development of automobile industry.Compared with electric vehicle,hybrid electric vehicle can effectively avoid problems such as long charging time and mileage anxiety,therefore,this paper conducts a systematic study on hybrid electric vehicle,in which the integrated control of hybrid electric vehicle powertrain is the core technology to reduce the fuel consumption and improve the fuel economy.This research is mainly divided into the following parts:Firstly,the advantages and disadvantages of the working characteristics of different configurations of hybrid electric vehicles are analyzed,combined with the research purpose of this paper,the configuration of hybrid electric vehicle is selected,at the same time,the basic parameters of the whole vehicle are determined based on the existing vehicle model data,and according to the basic parameters of the whole vehicle and the designed power,economy and pure electric driving range and other indicators,the relevant formulas are used to select and match the various components of the power transmission system,then,the vehicle model is built in the AVL Cruise software.Secondly,according to the characteristic parameters of the selected power source,with the main purpose of improving the energy consumption economy of the whole vehicle,a hierarchical energy management strategy for hybrid electric vehicle is designed,and build energy management strategy model through Matlab/Simulink simulation platform;furthermore,the Cruise-GSP computing platform is used to design a personalized shift rule based on the target vehicle.Using energy management strategy and shifting control strategy to comprehensively control the torque and speed of the engine,so that the working range of the engine is infinitely close to the "egg heart value",so as to reduce fuel consumption to a greater extent,the dynamic performance,economy and SOC balance effect of the whole vehicle are verified by simulation analysis.Then,based on the designed energy management strategy and shift control strategy,the Isight optimization platform is used to build a strategy optimization model,and for the actual optimization goal,the more mature multi-objective genetic algorithm applied in engineering is used to optimize the key parameters in the strategy,to solve problems such as parameter inaccuracy in the strategy.By comparing the simulation results before the strategy optimization,it can be seen that under the premise of satisfying the dynamic performance and SOC balance of the vehicle,the energy consumption economy of the vehicle has been further improved,and an excellent optimization effect has been achieved.Finally,in order to satisfy the control effect of the control strategy in the actual hardware platform,the optimized control strategy is tested and verified based on the NI hardware-in-the-loop test platform,import the compiled control strategy model and controlled object model into the controller and the simulator respectively,the CAN communication is used to transmit the signal between the controller and the simulator.The simulation results are analyzed in the host computer software,and it can be seen that they are basically consistent with the offline simulation results,which verifies the validity of the control effect of the powertrain control strategy on the hardware platform and meets the design requirements of the control strategy.