純電動物流車動力系統(tǒng)參數(shù)匹配優(yōu)化與驅動控制策略研究
[Abstract]:More and more attention has been paid to the development of matching and optimizing the power parameters of pure electric logistics vehicles. The reasonable matching of driving system and the optimization of transmission ratio of transmission system are the key methods to improve the power performance and economy of the whole vehicle. As the core of pure electric logistics vehicle, drive control strategy is directly related to the performance of vehicle economy, power performance, safety and so on. It is the guarantee of cooperative and efficient operation of all parts of pure electric logistics vehicle. In this paper, the following driving mileage is short and the driving control strategy is not perfect. Based on the fact that the two-gear transmission can improve the economy of the pure electric vehicle, the transmission system of the test vehicle is matched and the transmission ratio of the transmission system is optimized. At the same time, according to the actual characteristics of the test car, the driving control strategy is improved. First of all, in AVL-CRUISE software, the vehicle model is established according to the structure layout of the test logistics vehicle, and the key parameters of each component model are set according to the technical parameters of each component in the test vehicle. At the same time, the acceleration performance and the maximum speed of the whole vehicle are obtained. The performance of maximum climbing slope and driving mileage were simulated and analyzed. The simulation results are compared with the dynamic and economical results obtained from the prototype test to verify the accuracy of the model. Secondly, in order to improve the economy of the pure electric logistics vehicle, the pure electric logistics vehicle is matched with a two-speed transmission on the basis of the original vehicle. The transmission ratio of transmission system is optimized by Isight integrated AVL-CRUISE, and the optimized results are obtained. The optimized AVL-CRUISE model based on related parameters is simulated and calculated to verify the improvement of its economy. Finally, the driving control strategy of pure electric logistics vehicle is studied, including driving control strategy, braking energy recovery control strategy, starting control strategy. The driving control strategy model is established in MATLAB/Simulink, and the driving control strategy is realized by the simulation of AVL-CRUISE software. The curve of vehicle performance and relevant information are obtained, and the proposed driving control strategy is verified.
【學位授予單位】:太原理工大學
【學位級別】:碩士
【學位授予年份】:2017
【分類號】:U469.72
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