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Overcoming Challenges in Motorcycle Exhaust Flow Measurement: A Study on Measurement Accuracy and Systematic Effects of an Annubar-Based Approach Graz University of Technology

SAE Technical Papers (1906-current) Available online

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Format:
Book
Conference/Event
Author/Creator:
Schurl, Sebastian, author.
Contributor:
Brenn, Günter
Hafenmayer, Christian
Kirchberger, Roland
Lankau, Mathias
Schmidt, Stephan
Conference Name:
SETC2025: 29th Small Powertrains and Energy Systems Technology Conference (2025-11-10 : Florence, Italy)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2025
Summary:
Accurate exhaust mass flow measurement is critical for Real Driving Emission (RDE) testing; however, it is particularly challenging for motorcycles due to variations in chemical composition, strong pulsations and even reverse flow effects at low engine speeds. Traditional differential pressure-based flow meters often struggle under these conditions, particularly in low-speed and low-load operation. This study evaluates the feasibility and accuracy of an Annubar-based exhaust flow meter (EFM) designed to address these challenges by means of assessing eight motorcycles with single-, two-, and four-cylinder engine configurations. The EFM performance is evaluated via correlation analysis with laboratory-grade reference instruments and engine control unit (ECU) data. Additionally, systematic effects such as pulsation behavior, spectrogram analysis, and the influence of engine load and speed are investigated.The results demonstrate a strong correlation between EFM and reference measurements, indicating the EFM potential as a viable exhaust mass flow measurement solution. However, systematic deviations were observed, particularly at low engine speeds and loads, where pulsation effects caused oscillatory measurement behavior. These deviations stem from the interaction between engine-induced pulsations and the EFM response characteristics. To mitigate these effects, advanced filtering techniques and engine-aware compensation strategies, leveraging engine RPM and load data, are proposed to enhance measurement stability and accuracy. These improvements could make EFMs a more reliable tool for motorcycle RDE assessments, enhancing real-world emission testing methodologies
Notes:
Vendor supplied data
Publisher Number:
2025-32-0016
Access Restriction:
Restricted for use by site license

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