城市特征驾驶工况建立及结果比较研究

发布时间：2018-05-23 07:55

本文选题：驾驶工况 + 特征驾驶工况　；参考：《环境科学与技术》2014年01期

【摘要】：采用短行程随机组合、短行程状态转移、驾驶模式片段状态转移和速度状态转移法分别建立和比较城市特征驾驶工况。以成都市为例,设计实验测量车辆实际运行参数。测量在选定的起终点间的5条行驶路线上进行。利用引擎扫描仪和GPS采集汽车行驶数据,并对其数据进行处理。特征驾驶工况选择依据是所建候选工况与实测工况在评价参数间的最小差异而定。特征驾驶工况按速度分布、速度-加速度频率分布(SAFD)、汽车比功率(VSP)分布比例及排放预测进行比较。4个特征驾驶工况与实际工况的平均相对误差如下:速度分布分别为17.4%、11.3%、13.9%、25.5%;SAFD在50%左右;VSP分布分别为19.1%、18.5%、23.4%、29.4%;而排放预测均在3%以内。结果表明采用短行程状态转移建立的特征驾驶工况较其它3种方法更接近实际测量。
[Abstract]:The methods of short stroke random combination, short stroke state transition, driving mode segment state transition and speed state transition are used to establish and compare the urban characteristic driving conditions respectively. Taking Chengdu as an example, the actual operation parameters of vehicles are measured experimentally. The measurements were carried out on 5 routes between the selected starting and ending points. The engine scanner and GPS are used to collect the driving data and process the data. The selection of characteristic driving conditions is based on the minimum difference between the candidate operating conditions and the measured operating conditions in the evaluation parameters. The characteristic driving conditions are distributed according to the speed, The average relative error between the four characteristic driving conditions and the actual operating conditions is as follows: the velocity distribution is 17.4 / 11.3and 13.9b / 25.5 / SAFD is about 50%, respectively. It is 19.118.5% and 29.4%, and the emission forecast is less than 3%. The results show that the characteristic driving condition established by the short stroke state transition is closer to the actual measurement than the other three methods.
【作者单位】：四川大学建筑与环境学院;
【基金】：四川大学人才引进启动基金(JS20100324507093) 教育部新世纪人才支持计划(2011SCU-NCET-10-0578)
【分类号】：U491.254

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