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汽车安全与节能学报 ›› 2023, Vol. 14 ›› Issue (3): 365-374.DOI: 10.3969/j.issn.1674-8484.2023.03.012

• 汽车节能与环保 • 上一篇    下一篇

商用重载车尾气排放与驾驶行为的参数关系

徐婷(), 陈姝屹, 彭冲, 陈亦新(), 梁泽恺, 赵磊   

  1. 长安大学 运输工程学院,西安710064,中国
  • 收稿日期:2022-10-05 修回日期:2023-03-10 出版日期:2023-06-30 发布日期:2023-06-30
  • 通讯作者: 陈亦新
  • 作者简介:*陈亦新,副教授,博士,E-mail:chenyixin13@163.com
    徐婷(1983—),女(汉),江苏,教授。E-mail:annabelxu@163.com
  • 基金资助:
    国家自然科学基金(52002033);国家自然科学基金(51878066);中央高校基本业务经费(300102343205);陕西省自然科学基础研究计划(2021 JQ-276)

Parameter relationship between exhaust emissions and driving behaviors for commercial heavy-duty vehicles

XU Ting(), CHEN Shuyi, PENG Chong, CHEN Yixin(), LIANG Zekai, ZHAO Lei   

  1. College of Transportation Engineering, Chang’an University, Xi’an 710064, China
  • Received:2022-10-05 Revised:2023-03-10 Online:2023-06-30 Published:2023-06-30
  • Contact: CHEN Yixin

摘要:

为以生态驾驶行为来减少尾气排放,分析了商用重载车辆尾气排放量。针对CO2、CO、氮氧化物(NOx)、总碳氢化合物(THC)、颗粒物(PM)这5种排放物,测量了不同速度、工况下排放量;分析了异常驾驶行为对排放的影响。利用按速度聚类后的数据累计平均值,划分模型构建区间,选取速度、加速度、车辆比功率(VSP)作为模型自变量,构建了反映驾驶行为与排放关系的预测三元线性回归方程。结果表明:预测方程的多重判定系数均超过0.5,预测数据通过了配对T检验;对于5种排放物,预测方程的加速度对尾气排放影响显著。提出了减少污染物排放量的、优化驾驶行为以及生态驾驶行为建议。

关键词: 车辆尾气排放, 生态驾驶行为, 重载车辆, 回归分析, 车辆比功率(VSP)

Abstract:

The exhaust emissions were analyzed for commercial heavy-duty vehicles to reduce exhaust emissions with ecological driving behavior. Five exhaust emissions, namely CO2, CO, NOx (nitrogen oxides), THC (total hydrocarbon), and PM (particulate matter), were measured at different speeds and operating conditions; The influence of abnormal driving on emissions were also analysed. The cumulative average value of the data clustered according to the speed was used to divide the model construction interval. The speed, acceleration and Vehicle Specific Power (VSP) were selected as the independent variables of the emission model. Ternary linear regression equations were constructed to reflect the relationship between driving behavior and emissions. The results show that the multiple decision coefficients of the prediction equations are more than 0.5, and the prediction data passes the paired T test; In emission prediction equations, the acceleration has a significant impact on five exhaust emissions. Suggestions on reducing pollutant emissions, optimizing driving behaviors, and ecological driving behaviors are put forward.

Key words: vehicle exhaust emissions, ecological driving behaviors, heavy-duty vehicles, regression analysis, vehicle specific power (VSP)

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