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Determination of car on-road black carbon and particle number emission factors and comparison between mobile and stationary measurements

机译:汽车道路黑碳和颗粒物排放因子的确定以及移动和固定测量之间的比较

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摘要

We have used two methods for measuring emission factors (EFs) in real drivingconditions on five cars in a controlled environment: the stationary method,where the investigated vehicle drives by the stationary measurement platformand the composition of the plume is measured, and the chasing method, wherea mobile measurement platform drives behind the investigated vehicle. Wemeasured EFs of black carbon and particle number concentration. Thestationary method was tested for repeatability at different speeds and on aslope. The chasing method was tested on a test track and compared to theportable emission measurement system. We further developed the dataprocessing algorithm for both methods, trying to improve consistency,determine the plume duration, limit the background influence and facilitateautomatic processing of measurements. The comparison of emission factorsdetermined by the two methods showed good agreement. EFs of a single carmeasured with either method have a specific distribution with acharacteristic value and a long tail of super emissions. Measuring EFs atdifferent speeds or slopes did not significantly influence the EFs ofdifferent cars; hence, we propose a new description of vehicle emissions thatis not related to kinematic or engine parameters, and we rather describe thevehicle EF with a characteristic value and a super emission tail.
机译:我们在受控环境中使用了两种方法来测量五辆汽车在实际驾驶条件下的排放因子(EFs):固定方法,其中所调查的车辆由固定测量平台驱动并测量羽流的组成;追赶方法,移动测量平台在被调查车辆后面行驶。我们测量了黑碳的EFs和颗粒数浓度。测试了固定方法在不同速度和坡度下的可重复性。跟踪方法在测试轨道上进行了测试,并与便携式排放测量系统进行了比较。我们进一步开发了这两种方法的数据处理算法,试图提高一致性,确定羽流持续时间,限制背景影响并促进测量的自动处理。两种方法测定的排放因子的比较显示出良好的一致性。用任何一种方法测量的单个汽车的EF都有特定的分布,具有特征值,并且长尾排放超长排放量。在不同速度或坡度下测量EF并不会显着影响不同汽车的EF。因此,我们提出了与运动学或发动机参数无关的车辆排放的新描述,而是用特征值和超排放尾巴来描述车辆EF。

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