Study On Matching And Optimization Of Engine Parameters For Parallel Hybrid Electric Vehicle

With the development of car industry, pollution and energy shortage has become the most urgent need to solve. Hybrid cars have eased the two crisis in a certain extent, on the one hand it can inherit the traditional characteristics of the car; on the other hand it absorbs advantages of zero emission electric vehicles. So the research of hybrid electric vehicle is necessary, design and control strategy, optimize the power system parameters is the key technology of the core, which is the main method to improve hybrid vehicle power and economic performance.The powertrain parameters patching as the main research object, selected in the same control strategy, the powertrain parameters were studied, in the selected assembly scheme for the ISG type parallel hybrid electric vehicle, in the prototype car outside the structure size parameters under the guidance, according to the requirements of the dynamic performance of the vehicle, the power assembly components selection and parameters design. In the engine selection, first according to certain rules of selection of motor vehicle, according to the energy required to select the engine, and ultimately determine the choice a gasoline engine. In order to optimize the parameters of the engine, the engine model is firstly established in the AVL-Boost, to verify the model, and then use the Isight to integrate with Boost, in order to analyze the parameters influence on economy and emission performance, in the analysis of a variety of experimental design method, determine the choice of the Optimal Latin hypercube design, then using Response Surface Methodology, RBF and Kriging method has carried on the system modeling, based on the error modeling analysis, the Response Surface Methodology for modeling the highest precision.Based on the response surface method to establish the approximate model, using the elitist non dominated sorting genetic algorithm (NSGA-II), the fuel consumption and NOx emission is the optimization objective, the compression ratio, combustion starting angle, inlet opening angle and other parameters as design variables, the engine power and stability, the multi-objective optimization of the engine.The vehicle model will eventually be engine model before and after optimization is embedded into the AVL Cruise to establish the vehicle simulation, first in the condition NEDC of simulation before and after optimization of power, economy and emission performance, the results showed that the optimized to improve the performance of the vehicle in the play is good. Finally, the optimization results are simulated in American conditions FTP75 and Japanese conditions Ja 1015, fuel economy and emission performance has also been improved, to verify this algorithm has certain applicability.