国产欧美精品一区二区,中文字幕专区在线亚洲,国产精品美女网站在线观看,艾秋果冻传媒2021精品,在线免费一区二区,久久久久久青草大香综合精品,日韩美aaa特级毛片,欧美成人精品午夜免费影视

To solve the problem of nitrogen oxide (nox) emission of hybrid electric vehicle (HEV), a diesel hybrid energy management strategy based on decision tree CART algorithm is proposed. Firstly, a classification algorithm (Classification and Regression Tress,CART combining regression tree and decision tree is proposed. According to the characteristics of categories and variables, the trend relationship of each case is predicted from one or more predictive variables. Then, by controlling the torque distribution between the engine and the motor, additional degrees of freedom are introduced to adjust the optimization tradeoff from pure fuel economy to pure restriction; Finally, the simulation method based on software in the loop and hardware in the loop is adopted to understand the system performance according to the power system configuration and adjust the proposed energy management strategy. The experimental results show that the proposed diesel hybrid energy management strategy can reduce the impact on fuel consumption and limit the emission potential by selecting the best operating point and limiting engine power. Compared with other relatively new schemes, the proposed scheme has smaller emissions under the same fuel consumption, and can be significantly reduced under the condition of slightly reduced fuel consumption.