摘要
《营运客车燃料消耗量限值及测量方法》和《营运货车燃料消耗量限值及测量方法》系列标准是加快我国营运车辆绿色低碳运输管理所依据的重要标准.修订两项标准一方面结合国内外汽车技术水平的迅速提升及道路运输的迅猛发展状况,另一方面对促进实现交通运输节能减排目标、缓解石油资源短缺、降低营运车辆的碳排放量等具有重大的现实意义.其中,适时调整试验各类工况时间占比系数是两标准修订的重要部分,需结合我国当前的地理类型、道路交通规则、道路结构等对实际行驶工况进一步研究分析.本文以营运货车为例,基于各大主机厂车联网平台系统的数据采集来源,利用数据清洗、短行程筛选、数据规约和聚类等方法分析采集数据,能够比较准确地反映营运车辆实际道路行驶特征.为营运车辆燃料消耗量各工况系数调整提供了技术方案和有力的数据支撑.
Abstract
The series of standards"Limits and measurement methods of fuel consumption for commercial vehicle for passenger transportation"and"Limits and measurement methods of fuel consumption for commercial vehicle for cargos transportation"are important standards for accelerating the green and low-carbon transportation management of operating vehicles in China.The revision of the two standards combines the rapid improvement of domestic and foreign automotive technology and the rapid development of road transportation,and has significant practical significance in promoting the achievement of transportation energy conservation and emission reduction goals,alleviating oil resource shortages,and reducing carbon emissions from operating vehicles.Among them,timely adjustment of the proportion coefficient of various test conditions is an important part of the revision of the two standards.It is necessary to further study and analyze the actual driving conditions in combination with the current geographical types,road traffic rules,road structure,etc.in China.This article takes operational trucks as an example,based on the data collection sources of the vehicle networking platform systems of major host factories,and analyzes the collected data using methods such as data cleaning,short travel screening,data protocol,and clustering,which can accurately reflect the actual road driving characteristics of operational vehicles.This provides technical solutions and strong data support for adjusting the fuel consumption coefficients of operating vehicles under various operating conditions.
NETL
NSTL
万方数据