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Data Collection and Development of New York City Refuse Truck Duty Cycle

机译:纽约市垃圾桶占空比的数据收集与发展

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As part of a multi-city demonstration project of hybrid hydraulic technology in refuse truck application, a New York City-based refuse truck was instrumented with data-logging equipment to obtain operational and route specific data. These data were used to develop a drive cycle that is representative of the fleet's residential refuse collection operation and can be used to aid in the development of propulsion and emission control strategies for refuse truck applications. The instrumented truck was operated in the fleet service for a period of 6 months and rotated through a number of different routes. The fleet operates on a wide variety of collection routes which were well suited for collecting vehicle operational data representative of a greater portion of the refuse collection industry in the U.S. The large database of information was analyzed by separating it into several categories representing different parts of refuse collection service. Each category was further analyzed by using multi-variate statistical analysis techniques, where the statistical metrics and distributions of individual microtrips were evaluated. Based on the analysis, the most representative microtrips from each category were combined to generate a driving cycle. The driving cycle presented in this work, in addition to the speed and time trace, also includes details of engine operation including power requirements and fuel consumption. Modal and transient analysis was performed on the whole and individual segments of the developed duty cycle. This data will serve as a basis for development of hybridization strategies for the hybrid hydraulic project and can also be used by fleets and truck manufacturers to better understand refuse collection operation.
机译:作为垃圾桶应用中混合动力液压技术的多城市演示项目的一部分,纽约市的垃圾车被仪表用数据测井设备,以获得操作和路线特定数据。这些数据用于开发代表舰队的住宅垃圾收集操作的驱动周期,可用于帮助开发垃圾车应用的推进和排放控制策略。仪表卡车在车队服务中运营了6个月,并通过许多不同的路线旋转。该舰队在各种收集路线上运营,非常适合于收集在美国更多垃圾收集行业的车辆运营数据,通过将其分析到代表不同部分垃圾的几个类别的大型信息数据库收集服务。通过使用多变体统计分析技术进一步分析了每个类别,其中评估了单个微针的统计指标和分布。基于分析,组合来自每个类别的最代表性的微小尺度以产生驾驶循环。除了速度和时间迹线之外,还包括发动机操作的细节,包括电源要求和燃料消耗,还包括引擎操作的细节。对开发占空比的整个和各个部分进行了模态和瞬态分析。该数据将作为开发混合液压项目的杂交策略的基础,也可以由车队和卡车制造商使用,以更好地了解垃圾收集操作。

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