关键词: 驾驶风格；纯电动公交车；行驶能耗；主成分分析；支持向量机；AVL Cruise 仿真模型

Abstract: To Classify drivers' driving styles to measure the impact of different driving styles on the energy consumption of pure electric vehicles. Using principal component analysis and K-means to divide driving style types, and using support vector machine (SVM) to build models for training. Then, based on the AVL Cruise simulation model, the bus running energy consumption data is output, and the energy consumption differences of drivers with different driving styles are compared. The results show that after the model labeled prediction of the test set, the classification accuracy rate was 93%, Under the same route, the aggressive driver has more energy recovery. Compared with the normal driver, the fuel consumption per mileage of the aggressive driver and the cautious driver increased by 2.81% and 4.44% respectively. Taking advantage of the degree of influence, measures such as screening and training of drivers are taken accordingly, thereby reducing the energy consumption of pure electric bus operation.

Key words: Driving style; Pure electric bus; Driving energy consumption; Principal component analysis; SVM; AVL Cruise simulation model