中国乘用车工况构建

依托“中国工况”项目,对我国乘用车行驶工况进行深入研究. 在全国41 个城市采集乘用车共计1 600 万km的行驶数据,收集各城市交通量大数据用于权重因子开发;利用权重因子对采集数据进行加权,获取代表我国驾驶特征的、统一的速度-加速度分布,以其为基准,使用卡方检验选择最优短片段组合作为我国乘用车行驶工况(CLTC). 对比CLTC工况特征与其他典型工况及实测数据GIS加权结果,CLTC工况更符合我国实际.

Development of China Light-duty Passenger Car Test Cycle

This paper presents the China Light- duty Passenger car Test Cycle (CLTC), developed under the "China Automobile Test Cycle Development" project. First, 16 million kilometers of driving data of light- duty passenger cars are collected from 41 cities nationwide in total, and the traffic volume data for each city are also collected to develop weighting factors. Then, the driving data and weighting factors are combined to develop unified speed- acceleration distributions representing the driving behavior in our country. Finally, based on the unified speed- acceleration distributions, the optimal short trip combination is selected by the chi- square test method and the China Light-duty Passenger car Test Cycle (CLTC) is constructed. Through the geo-information system (GIS) weighted results based on real data, the CLTC characteristics are compared with other typical cycles, and the comparison results demonstrate that CLTC conforms better to the reality in China.