摘要
文章提出了一种准确有效的方法来构建电动汽车城市行驶工况,以西安市为研究对象构建了西安市电动汽车城市循环工况。该方法主要包括四个部分:制定测试路线,数据采集,数据处理和构建工况。首先根据西安市道路的整体拓扑结构和交通流量调查结果,制定出测试路线,采集测试车辆在测试路线上的行驶数据。针对传统片段划分、降维及聚类处理数据方法中过程复杂且聚类精度不高的问题,提出用速度-加速度网格直接对原始数据划分,并针对传统马尔科夫方法构建工况其分类条件单一及小概率事件丢失的问题,提出一种利用蒙特卡洛模拟进行优化的方法。最终完成西安市乘用车行驶工况的构建,与其它方法构建的工况相比,使用本文方法建立的工况精度较高。
In this paper,an accurate and effective method is proposed to construct the driving cycle of electric vehicles in urban area.Taking Xi’an as the research object,the driving cycle of electric vehicles in Xi’an are constructed.The method mainly consists of four parts:developing test routes,data collection,data processing and driving cycle construction.Firstly,according to the overall road topology and traffic flow survey results of Xi’an,the test route is developed.Then,collecting the driving data.Aiming at the problem of complex process and low clustering accuracy in traditional fragment partitioning,dimension reduction and clustering data processing methods,the velocity-acceleration grid is proposed to divide the original data directly.Moreover,in view of the single classification condition and the loss of small probability events in the traditional Markov method,the Monte Carlo simulation optimization method is proposed.Finally,the construction of the driving cycle of passenger cars in Xi’an is completed.Compared with the driving cycles built by other methods,the driving cycle established by using the proposed method is relatively accurate.
作者
叶毅铭
张大禹
卫龙龙
魏洪贵
Ye Yiming;Zhang Dayu;Wei Longlong;Wei Honggui(Chang'an University,Shaanxi Xi'an 710064)
出处
《汽车实用技术》
2019年第23期8-11,14,共5页
Automobile Applied Technology
