Transportation Research Part D: Transport and Environment ( IF 7.6 ) Pub Date : 2020-02-19 , DOI: 10.1016/j.trd.2020.102279 Xuan Zhao , Xiangmo Zhao , Qiang Yu , Yiming Ye , Man Yu
This paper develops a systematic and practical construction methodology of a representative urban driving cycle for electric vehicles, taking Xi’an as a case study. The methodology tackles four major tasks: test route selection, vehicle operation data collection, data processing, and driving cycle construction. A qualitative and quantitative comprehensive analysis method is proposed based on a sampling survey and an analytic hierarchy process to design test routes. A hybrid method using a chase car and on-board measurement techniques is employed to collect data. For data processing, the principal component analysis algorithm is used to reduce the dimensions of motion characteristic parameters, and the K-means and support vector machine hybrid algorithm is used to classify the driving segments. The proposed driving cycle construction method is based on the Markov and Monte Carlo simulation method. In this study, relative error, performance value, and speed-acceleration probability distribution are used as decision criteria for selecting the most representative driving cycle. Finally, characteristic parameters, driving range, and energy consumption are compared under different driving cycles.
中文翻译:
电动汽车代表性城市驾驶循环构建方法的开发:以西安为例
本文以西安为例,研究了一种具有代表性的电动汽车城市行驶周期的系统和实用的构建方法。该方法论解决了四个主要任务:测试路线选择,车辆操作数据收集,数据处理和驾驶周期构建。提出了一种基于抽样调查和层次分析法设计测试路线的定性和定量综合分析方法。使用了追逐汽车和车载测量技术的混合方法来收集数据。对于数据处理,使用主成分分析算法来减小运动特征参数的维数,并使用K均值和支持向量机混合算法对驾驶段进行分类。所提出的驾驶周期构建方法是基于马尔可夫和蒙特卡洛模拟方法的。在这项研究中,相对误差,性能值和速度加速度概率分布被用作选择最具代表性的驾驶循环的决策标准。最后,比较了不同行驶周期下的特征参数,行驶范围和能耗。