Study On Optimization And Matching Of Powertrain Of Truck

With the increase of truck-ownership in China, the influence of the truck-transportation on the domestic economy is rising. As a result, a large amount of oil resource is consumed annually. It is of great importance to decrease the fuel consumption of truck under the situation of severe energy crisis present.Researches show that the improper parameter match between the engine and transmission system will have great impact on the dynamic performance as well as the fuel economy of the whole vehicle.In order to improve the fuel economy of truck, the following work has been completed:1)Study on the modeling method of vehicle performance simulation software ADVISOR. According to its failure in modeling rear-wheel-drive vehicle, a rear-wheel-drive model based on MATLAB/SIMULINK was developed and embedded into ADVISOR.2) An model of the target vehicle was constructed. The constant velocity fuel consumption and transient fuel consumption of the vehicle were tested on road. Results showed that the model based on ADVISOR is precise and can be used to simulate the vehicle powertrain.3)Parameter sensitivity analysis on the main factor of fuel economy is completed. The results showed that the total mass of vehicle has the greatest impact on the acceleration and fuel economy. In addition, rolling resistance coefficient, gear ratio and final drive ratio also have evident impact on the acceleration and fuel economy.4) Genetic algorithm was applied to accomplish the optimization of parameters. The original code of ADVISOR is modified, and the combined simulation program was established with the application of both genetic algorithm and ADVISOR. The optimization calculation on the target vehicle was done, and the result showed that the fuel consumption of 100km decreased by 4.67% under the ECE-EUDC cycle run and the overall energy efficiency of the vehicle increased by 4.8%.