摘要
为了研究重型车特性参数对CO_(2)排放的影响,以中国厢式货车、不同运行工况下的欧洲C2级货车和欧洲城际客车为例,采用VECTO软件测算车辆的滚阻系数、风阻系数、轮胎动力学半径、附件最大总功率、主减速器和变速箱机械效率及转矩损失等参数对CO_(2)排放的影响,分析不同参数变化对CO_(2)排放测算结果变动的敏感性。结果表明,滚阻系数、风阻系数、附件总功率、主减速器和变速箱各挡位转矩损失参数变动幅度与车辆CO_(2)比排放变动幅度基本呈正线性相关,各参数20%的变动幅度最大将引起4.4%、7.2%、1.9%、1.2%和1.4%的CO_(2)比排放变动幅度;轮胎动力学半径变动幅度对CO_(2)的影响为非线性关系,负的轮胎动力学半径变动幅度引起的CO_(2)排放变动幅度要高于正的变动幅度,−20%的轮胎动力学半径变动幅度最大将引起7.1%左右的CO_(2)比排放变动幅度;主减速器和变速箱各挡位的机械效率变动幅度与CO_(2)比排放变动幅度呈负线性相关,−2.8%左右的机械效率偏差引起2.3%左右的CO_(2)比排放变动幅度。研究结果可为重型车节能降碳改进设计提供参考。
To study the influence of heavy-duty vehicle characteristic parameters on CO_(2)emission,the effects of rolling resistance coefficient,wind resistance coefficient,tire dynamic radius,accessory maximum total power,mechanical efficiency and torque loss of main retarder and gearbox on CO_(2)emissions were calculated by VECTO software,taking Chinese van,European C2 truck under different operating conditions and European intercity bus as examples.The sensitivity of different parameters to the variation of CO_(2)emission was analyzed.The results showed that the variation range of parameters such as rolling resistance coefficient,wind resistance coefficient,total accessories power,and torque loss in each gear of main retarder and gearbox had a positive linear correlation with the variation range of vehicle CO_(2)specific emission.The variation of 20%of each parameter would cause a maximum variation of 4.4%,7.2%,1.9%,1.2%and 1.4%of CO_(2)specific emissions,respectively.The influence of tire dynamic radius on CO_(2)was nonlinear.The change range of CO_(2)emission caused by negative tire dynamic radius variation was higher than that caused by positive tire dynamic radius variation;the−20%tire dynamic radius change range would cause about 7.1%change range of CO_(2)specific emission.There was a negative linear correlation between the variation of mechanical efficiency of each gear of the main retarder and gearbox and the variation of CO_(2)specific emission,and the variation of CO_(2)emission caused by the mechanical efficiency deviation of−2.8%was about 2.3%.The research results can provide a reference for carrying out the design of the energysaving and carbon-reducing improvement of heavy-duty vehicles.
作者
种衍懿
王燕军
张鹤丰
柯佳
李凯
CHONG Yanyi;WANG Yanjun;ZHANG Hefeng;KE Jia;LI Kai(State Environmental Protection Key Laboratory of Vehicle Emission Control and Simulation,Chinese Research Academy of Environmental Sciences;Institute of Advanced Technology,University of Science and Technology of China)
出处
《环境工程技术学报》
CAS
CSCD
北大核心
2024年第4期1178-1183,共6页
Journal of Environmental Engineering Technology
基金
国家重点研发计划项目(2022YFB2602001)
移动源污染排放控制技术国家工程实验室开放基金项目(NELMS2019A19)。