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Sensitivity of light duty vehicle tailpipe emission rates from simplified portable emission measurement systems to variation in engine volumetric efficiency

机译:轻型车辆尾管排放率从简化便携式发射测量系统对发动机容积效率变化的敏感性

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摘要

Light-duty gasoline vehicle (LDGV) tailpipe emission rates can be quantified based on pollutant concentrations measured using portable emission measurement systems (PEMS). Emission rates depend on exhaust flow. For simplified and micro-PEMS, exhaust flow is inferred from engine mass air flow (MAF) and air-to-fuel ratio. For many LDGVs, MAF is broadcast via the on-board diagnostic (OBD) interface. For some vehicles, only indirect indicators of MAF are broadcast. In such cases, MAF can be estimated using the speed-density method (SDM). The SDM requires an estimate of the engine volumetric efficiency (VE), which is the ratio of actual to theoretical MAF. VE is affected by intra-vehicle variability in the engine load and inter-vehicle variability in engine characteristics (e.g., the type ofvalvetrain).The suitability of SDM-based estimates of MAF in conjunction with simplified and micro-PEMS has not been adequately evaluated. Therefore, the objectives are to: (1) quantify VE accounting for intra- and inter-vehicle variability; and (2) evaluate the accuracy of SDM-based vehicle emission rate estimation approaches. Seventy-seven naturally-aspirated LDGVs were measured using PEMS. For each vehicle, VE was estimated using three approaches: (1) constant VE calibrated to actual fuel use; (2) average estimates of VE for Vehicle Specific Power modes imputed from OBD data; and (3) modeled VE using multilinear regression (MLR). The MLR models were developed based on engine load and engine characteristics. The best model was selected based on various statistical diagnostics. When engines were under load, variability in VE was most sensitive to variations in engine load. During idling, VE differed between engines depending on engine characteristics. The constant and modeled VE estimation approaches enable the accurate estimation of microscale and mesoscale emission rates, with errors typically within ±10% compared to values imputed from OBD data. Thus, accurate emission rates can be obtained from simplified and micro-PEMS. Implications: Simplified and micro portable emission measurement systems (PEMS) enable widespread measurement of vehicle exhaust emission. As a cost saving measure, they estimate exhaust flow indirectly rather than via measurement typically based on engine mass air flow (MAF). For some vehicles, MAF is not reported by the on-board diagnostic (OBD) system but can be inferred from other reported variables and volumetric efficiency (VE). However, VE is typically proprietary. Methods demonstrated here for estimating VE enable accurate quantification of emission rates, thereby enabling use of these PEMS for policy-relevant applications such as technology assessments, trends analysis, and emissions inventories.
机译:可根据使用便携式排放测量系统(PEMS)测量的污染物浓度来定量轻型汽油车辆(LDGV)尾管发射率。排放率取决于排气流量。对于简化和微PEM,从发动机质量空气流量(MAF)和空气到燃料比中推断出排气流。对于许多LDGV,MAF通过板载诊断(OBD)接口进行广播。对于一些车辆,只广播MAF的间接指标。在这种情况下,可以使用速度密度法(SDM)估计MAF。 SDM需要估计发动机容积效率(VE),这是实际与理论MAF的比率。在发动机负荷和发动机特性的内部际变异性(例如,valvetrain的类型)受到车内可变异的影响。基于SDM的MAF估计与简化和微量PEM的适用性尚未得到充分评估。因此,目的是:(1)量化载体和车间可变性的核算; (2)评估基于SDM的车辆发射率估计方法的准确性。使用PEMS测量七十七天然吸气的LDGV。对于每辆车,使用三种方法估计:(1)常数校准实际燃料使用; (2)从OBD数据估算的车辆特定功率模式的平均估计值; (3)使用多线性回归(MLR)的模型VE。 MLR模型是基于发动机负载和发动机特性开发的。基于各种统计诊断选择了最佳模型。当发动机在负载下时,VE的变异性对发动机负荷的变化最敏感。在空转期间,根据发动机特性,在发动机之间有不同的不同。常数和建模的VE估计方法能够精确地估计微观尺寸和MESCLE发射率,与从OBD数据累积的值相比,通常在±10%内的误差。因此,可以从简化和微PEM获得准确的发射率。含义:简化和微便携式发射测量系统(PEMS)实现了车辆排气的广泛测量。作为节省成本的测量,它们通常基于发动机质量空气流量(MAF)间接地而不是通过测量来估计排气流。对于一些车辆,载车载诊断(OBD)系统没有报告MAF,但可以从其他报告的变量和体积效率(VE)中推断出来。然而,VE通常是专有的。这里证明了用于估计VE的方法,可以精确地量化排放率,从而能够利用这些PEM用于政策相关的应用,例如技术评估,趋势分析和排放库存。

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  • 来源
    《Journal of the Air & Waste Management Association》 |2021年第9期|1127-1147|共21页
  • 作者单位

    Department of Civil Construction and Environmental Engineering North Carolina State University Raleigh NC USA;

    Department of Civil Construction and Environmental Engineering North Carolina State University Raleigh NC USA;

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  • 正文语种 eng
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