Parameter Matching And Optimization Of Assembly For Hybrid SUV

In the development process of electric vehicle, hybrid electric vehicle, which incorporates the advantages of both the electric vehicle and the conventional internal combustion engine vehicle has appeared, it makes full use of the characteristics of the engine and motor, thus it enhance the efficiency of the hybrid system. At present, the hybrid technology is mainly used in cars and buses. In this paper, the research object is hybrid SUV, it includes the study on the simulation model, parameter matching and optimization of hybrid system. The major contents are as follows:(1) First of all, summarize the background and significance of the hybrid electric vehicle presently, discuss the development of domestic and international situation of hybrid SUV in detail and points out the importance and the necessity of study on hybrid SUV. In the end, analyze the status quo of parameter matching and optimization of hybrid electric vehicle and bring forward that reasonable optimization for the hybrid system parameters is a valuable study.(2) Based on MATLAB and the vehicle simulation software ADVISOR, the model of engine, motor and battery of hybrid SUV is established and the simulation model of parallel hybrid electric vehicle is redeveloped and a four-wheel drive simulation model of hybrid electric vehicle is analyzed in detail and constituted for the simulation and analysis of hybrid SUV in this paper.(3) Via the analysis and comparison of configuration and dynamical performance of domestic and international hybrid SUV, combined with basic theory of vehicle dynamics, the type choosing and parameter designing of engine, motor, battery and other components of hybrid SUV is finished and the parameter of powertrain system of the hybrid electric vehicle is achieved. At last, based on previously established model, the simulation of the dynamical performance, fuel economy and emission of hybrid SUV is accomplished.(4) The optimization of hybrid system parameter is considered as a constrained, nonlinear and multi-objective optimization problem, whose constraint condition is dynamical performance of vehicle, optimization variables are the maximum power of engine, motor and amount of battery, for the sake of reducing the fuel economy, exhaust emission as well as the manufacture cost of vehicle. The multi-objective optimization mathematical model is set up. Then the problem is converted into a single-objective optimization problem by goal-attainment method and it is optimized using particle swarm optimization arithmetic. Finally the optimal parameter of power system and control strategy of hybrid SUV is obtained. At last, compare to the simulation results which optimized by ADVISOR method, the findings show that the PSO algorithm's search for the pareto results of hybrid system parameter is more effective, thereby the overall performance of vehicle is improved enormously.