摘要
为了克服标准工况排放与实际行驶排放测试的差异,以武汉市城市道路重型车为研究对象,利用PEMS采集车辆实际道路污染物排放数据,GPS系统采集车辆实际行驶工况数据,以车辆瞬时速度v和比功率VSP划分的行驶工况区间,采用回归分析的方法建立车辆污染物逐秒排放率与实际道路工况的排放预测模型。经验证,各工况区间内由模型得到的预测值与实际道路测试值的误差均小于10%且总体误差均值为1.9%,模型准确性良好,可应用于武汉市城市道路重型车排放预测,并对后续减排策略制定提供支撑。
An emission model of heavy vehicle under real driving conditions has been built up. In this work,the pollutant emissions data of a heavy truck on urban road at Wuhan is collected using the PEMS,and the actual driving condition data of the vehicle was collected by GPS. The main factors of the vehicle in terms of instantaneous speed v and specific power VSP is therefore obtained. A regression analysis method is used to predict the vehicle pollutant emission rate per second and the actual road conditions. It has been verified that the error between the predicted value obtained from the model and the actual road test value in each operating condition zone is less than 10%,and the overall averaged error is 1. 9%. Thus,the predicting accuracy of the model is acceptable. The model developed in this work can be used to predict the heavy vehicle emissions in urban roads in Wuhan,and facilitate asguidelines for developing emission reduction strategies.
基金
工信部"中国新能源汽车产品检测工况研究和开发"资助项目
中央高校基本科研业务费专项资金资助(2017-IVA-034)
关键词
实际道路排放
重型车
二维回归分析
排放预测模型
real driving cycles
heavy vehicle
two-dimensional regression analysis
prediction models of emissions
