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Development of Delhi Driving Cycle: A Tool for Realistic Assessment of Exhaust Emissions from Passenger Cars in Delhi

机译:德里行驶周期的发展:对德里乘用车废气排放进行现实评估的工具

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Human health is the driving force for setting the Ambient Air Quality Standards for the country. As per Auto Fuel Policy released by Govt. of India, Air Quality Monitoring and Source Apportionment Studies were initiated in six cities. Apart from determining emission data from other sources, the assessment of automotive emission inventory was done by conducting the emission testing on vehicles of different categories and vintages following a driving cycle. India has been following Modified Indian Driving Cycle (MIDC) adopted from European driving cycle which may not give a realistic assessment of vehicular emissions in laboratory as compared to on-road emissions. The variation could be due to different traffic density, land-use patterns, road infrastructure and traffic management encountered in India as compared to Europe. This paper presents the evolution of Driving Cycle developed for passenger cars in Delhi. The entire exercise was divided into 5 major components including selection of representative routes, vehicles, measuring instruments, data analysis methodology and validation of final driving cycle. Seven routes were selected considering Home-to-Work trips covering major landmarks and traffic zones across Delhi. Traffic monitoring was conducted for 3 days (16 hrs/day) at 21 sites on selected routes. The data acquisition was carried out on 4 passenger cars covering 224 trips and spanning 120 days. The driving patterns generated from each trip were statistically analysed following the micro-trip approach on the basis of different traffic conditions like congested, semi-urban, urban and extra-urban with the help of specifically designed software based on in-house developed algorithm. Suitable boundary conditions depending upon the traffic conditions in Delhi were incorporated for identifying and eliminating the redundant data in order to derive a realistic speed time sequence. The finalised cycle was validated on the chassis dynamometer based on the on-road fuel consumption.
机译:人体健康是制定国家环境空气质量标准的驱动力。根据政府发布的《汽车加油政策》。印度的六个城市开始了空气质量监测和污染源分配研究。除了确定其他来源的排放数据外,还通过在行驶周期后对不同类别和年份的车辆进行排放测试来评估汽车排放清单。印度一直沿袭欧洲驾驶循环所采用的“修改后的印度驾驶循环”(MIDC),与公路行驶的排放相比,可能无法对实验室的车辆排放进行实际评估。差异可能是由于与欧洲相比,印度在印度遇到的交通密度,土地使用方式,道路基础设施和交通管理不同。本文介绍了德里为乘用车开发的驾驶循环的演变。整个练习分为5个主要部分,包括代表性路线的选择,车辆,测量仪器,数据分析方法和最终驾驶周期的验证。考虑到“上班回家”之旅,其中涵盖了德里的主要地标和交通区域,选择了7条路线。在选定路线的21个站点进行了3天(16小时/天)的流量监控。数据采集​​是在4辆乘用车上进行的,涵盖224次旅行,跨越120天。借助基于内部开发算法的专门设计的软件,在拥挤,半城市,城市和城市外等不同交通状况的基础上,按照微旅行方法对每次旅行产生的驾驶模式进行统计分析。根据德里的交通状况,结合了适当的边界条件,以识别和消除冗余数据,从而得出实际的速度时间序列。根据公路燃油消耗,在底盘测功机上验证了最终的循环。

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