Power System Parameters Matching And Performance Optimization Of Pure Electric Bus

Due to the severe pressure from energy and environment, the research and development of the new energy vehicle became the era mainstream in order to achieve the sustainable development of the auto industry. The advantages of pure electric vehicle for example: high energy utilization rate, clean, no pollution, zero emissions and so on, not only promise it to be the hot pot of the current social studies but also a broad market application prospect.The rational design and matching of the power system play a crucial role to the high efficiency application of the pure electric vehicle capabilities. Taking pure electric bus as the research objective, by analyzing the exist power system structures, the merits and handicaps of various arrangements as well as the factors that influence it, this paper put forward a general arrangement for the power system. Analyzing the characters of different types of electric machine and battery, then give a selection of the power components. Combing the requirements of the dynamic performance and the vehicle parameters, especially the characteristics of the electric machine and the battery, parameters design to the power transmission system.After the initial selection of power transmission system matching scheme, utilizing the improved multi-objective genetic algorithm NSGA-II to optimize the parameters of the power transmission system, and then, determine the optimal design variables, the optimization objective function and constraint condition of optimization. Setting the parameters of genetic algorithm optimization process, and finally use the MATLAB genetic algorithm toolbox to complete the optimization calculation. Using the software Cruise to establish the optimization of the vehicle model, to simulate operations through the design of relevant computational tasks, and then, comparing and analyzing the vehicle performance by the simulation results. Performance test is carried out on the test vehicle and power battery. The test results are compared with the simulation ones, in order to verify the rationality of the dynamic system matching optimization model and the accuracy of the Cruise simulation model.Through analyzing and summarizing the domestic and foreign optimization of power system, A set of integral power transmission system matching and optimization methods are provided for the pure electric city bus in this paper, which is verified by simulation software and the prototype test. This research content has certain reference value and theoretical guidance for future electric vehicle manufacturing and other vehicle modeling for parameter matching and optimization.