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Studies on Emission Measurement Techniques for Super-Ultra Low Emission Vehicles

Authors: Satoshi Ohtsuki; Kaori Inoue; Yutaka Yamagishi; Kazuyoshi Namiyama;

Studies on Emission Measurement Techniques for Super-Ultra Low Emission Vehicles

Abstract

<div class="htmlview paragraph">The accuracy and precision of exhaust gas mass emission measurement has recently come under close scrutiny as the absolute mass emission level has become lower. The uncertainty of the mass emission measurement can not be defined simply as it is a combination of many parameters in the measurement system. This paper lists and reviews the major factors that affect the accuracy in super-low emission measurement when using a constant volume sampler (CVS), such as analyzer performance, HC contamination, excessive dilution of sample gases, error in DF calculations and the variation of vehicle emission itself. Additionally, an alternative sampling system, using the bag mini-diluter (BMD) technique, is investigated in comparison with the enhanced CVS system, i.e. use of dilution air refiner, and heating of the whole system. Some ideas for reducing the HC contamination are also described as it is an important parameter that affects measurement accuracy in both the CVS and BMD systems.</div>

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selected citations
These citations are derived from selected sources.
This is an alternative to the "Influence" indicator, which also reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Citations provided by BIP!
popularity
This indicator reflects the "current" impact/attention (the "hype") of an article in the research community at large, based on the underlying citation network.
BIP!Popularity provided by BIP!
influence
This indicator reflects the overall/total impact of an article in the research community at large, based on the underlying citation network (diachronically).
BIP!Influence provided by BIP!
impulse
This indicator reflects the initial momentum of an article directly after its publication, based on the underlying citation network.
BIP!Impulse provided by BIP!
13
Top 10%
Top 10%
Average
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