Integrated Simulation Technology And Software Platform Development For Pure Electric Vehicles

As a practical technique in the developing process of electric vehicle, computer simulation can be used to evaluate the design schema comprehensively before prototype experiment is carried out. The performance of the whole vehicle can be predicted precisely to enhance the forward-looking ability of EV design theory as well as reduce the R&D cycle and costs, which provides forceful technological guarantee for the fast development of electric vehicles. However, most of the EV simulation software with the disadvantages of single function, low accuracy and difficulty in re-development can not satisfy the simulation requirement. Therefore, new electric vehicle simulation software with the characteristics of being user-friendly, interactive, easy to expand and transplant is necessary to be developed to fulfill the urgent needs in electric vehicle development. Specifically, the main work of this dissertation can be summarized as follows:(1) By referring to the existed electric vehicle component model, the design of the component library of the platform, which is obtained from the component library of electric vehicle simulation software ADVISOR2002, is accomplished according to the designed top layer of pure electric vehicles.(2) Aiming at the characteristics of large amount, complex type and various organizations of the simulation data, the data structure is designed as a tree to organized the parameters hierarchically, the parameters are stored in the form of XML file format, and the read-write operation of the simulation data is also achieved.(3) A hybrid programming approach is adopted to use VC++and Matlab/Simulink developing tools to implement the design of the simulation platform. Thereinto, VC++is used for GUI design and business processing and Matlab/Simulink for modeling and simulation calculation.(4) In order to overcome the disadvantage of single energy source electric vehicle, the battery-ultracapacitor dual energy source storage system is presented and its energy management strategy is designed with fuzzy logic. Moreover, the new energy storage system and energy management strategy are transplanted to the simulation platform. (5) A comparative study on the simulation result is implemented by choosing typical vehicle parameters and driving cycle. And the simulation on the fuzzy optimal control strategy of pure electric vehicle with dual energy storage system is also carried out. The result shows that the reliability of the simulation platform is high enough to fulfill the simulation requirement of pure electric vehicles. The dynamic performance and economic performance of dual energy source electric vehicle with fuzzy optimal control strategy are significantly enhanced.