Parameter Matching And Performance Simulation Of The Extended Program City Bus Power System

In recent years, the rapid development and rapid growth of vehicle ownership in the global automobile industry,not only caused serious environmental pollution but also triggered a worldwide energy crisis,these two results hinder the sustainable development of the automotive industry, forcing man go to explore the future development of the automotive industry from caring for the environment and energy conservation point of view, so human beings proposed the development of new energy vehicles program. In the new energy vehicles field, pure electric vehicles belong to the most unique, it is not only a wide source of power and zero emissions zero pollution,but is limited by the current level of development of battery technology, There exists a certain gap in the power, driving range and performance indicators comparing with traditional fuel vehicles, which slows down its industrialization process. However, from the current automotive technology level, New energy vehicles which have develop promising are the electric vehicles having the ability to extend the driving range, It attracted the attention of the world's major auto companies, universities and research institutes.Based on a pure electric city bus which exists underpowered, mileage and other issues in the short run mountain city, we carry structural modifications on the dynamic system, as a precondition to vehicle dynamics, improve fuel economy and extend its driving range mileage. Using the basic parameters of original vehicle model and vehicle design specifications after remodeling, pre-select type and pre-match the power system of the drive motor, battery, extended-range and other key components parameters; use CRUISE software establish vehicle simulation model, and use the function modules built-in the software develop climate control strategy, and join with Matlab / Simulink develop APU control strategies to achieve the co-simulation of CRUISE software and Matlab / Simulink; use genetic algorithms to establish control strategy in Matlab / Simulink environment and carry the co-simulation with CRUISE software, optimize the SOC threshold of APU control strategy, maximize the fuel economy and driving range of the vehicle; the final results showed that the remodeling program of city bus achieved the expected the dynamic goal of raising the driving range and the battery weight reduced by about 23.2%, vehicle fuel consumption is reduced by about 32.4%. From the comparative analysis of simulation and optimization results initial results point of view, its fuel consumption of the engine is reduced 5.13%, the SOC value at the battery discharge time decreased by 11.8% in the end, indicating that the original model is modified by the program is the line of city buses effective method, using simulation software CRUISE fully verify the power system parameter matching is reasonable, reliability, and control strategy optimization algorithm.