Phase Detection Relevance in Engine Torque Determined by Instantaneous Engine Speed

<div class="section abstract"><div class="htmlview paragraph">Accurate flywheel torque estimation in combustion engines can be used for monitoring engine performance, creating the potential for lowering emissions and fuel costs. Recently a method was proposed to determine the mean flywheel torque from instantaneous engine speed using the <i>n</i>-th order Fourier series, where <i>n</i> is the number of cylinders firing per crank revolution. However, instantaneous engine speed is affected by two separate torque contributions. The torque resulting from reciprocating masses in the engine, i.e., reciprocating torque, and the torque produced by combustion pressure, i.e., gas torque. Gas torque and reciprocating torque signals have the same frequency but are in opposite phases. Since the resultant torque at the flywheel is the sum of gas and reciprocating torques, there is a need to remove reciprocating torque from the total torque at the flywheel. This requires knowing whether gas or reciprocating torque has a larger amplitude. Here, a method is proposed to determine whether gas or reciprocating torque has a larger amplitude via the phase of engine speed; this method is a step towards a practically implementable virtual torque sensor. This methodology of torque estimation is evaluated through on-road testing on a truck powered by a Cummins ISX12G compressed natural gas engine at engine speeds of 1000-2100 RPM and at different transmission gear ratios and throttle conditions. The proposed algorithm demonstrated a mean absolute percentage error of 13.2%.</div></div>

Authors

Institutions

Publication Details

Journal
SAE technical papers on CD-ROM/SAE technical paper series
Published
2024-11-04
DOI
https://doi.org/10.4271/2024-01-4270
Primary Topic
Advanced Combustion Engine Technologies
Type
article
Field-Weighted Citation Impact
0.00
Controls
|||
ALL TIME
JAN
FEB
MAR
APR
MAY
JUN
JUL
AUG
SEP
OCT
article

Phase Detection Relevance in Engine Torque Determined by Instantaneous Engine Speed

Muralidhar K. Ghantasala, Richard Meyer, Vivek Iddum, Nathan Ely
SAE technical papers on CD-ROM/SAE technical paper series
Advanced Combustion Engine Technologies
article

Phase Detection Relevance in Engine Torque Determined by Instantaneous Engine Speed

Muralidhar K. Ghantasala, Richard Meyer, Vivek Iddum, Nathan Ely
article en

Abstract

<div class="section abstract"><div class="htmlview paragraph">Accurate flywheel torque estimation in combustion engines can be used for monitoring engine performance, creating the potential for lowering emissions and fuel costs. Recently a method was proposed to determine the mean flywheel torque from instantaneous engine speed using the <i>n</i>-th order Fourier series, where <i>n</i> is the number of cylinders firing per crank revolution. However, instantaneous engine speed is affected by two separate torque contributions. The torque resulting from reciprocating masses in the engine, i.e., reciprocating torque, and the torque produced by combustion pressure, i.e., gas torque. Gas torque and reciprocating torque signals have the same frequency but are in opposite phases. Since the resultant torque at the flywheel is the sum of gas and reciprocating torques, there is a need to remove reciprocating torque from the total torque at the flywheel. This requires knowing whether gas or reciprocating torque has a larger amplitude. Here, a method is proposed to determine whether gas or reciprocating torque has a larger amplitude via the phase of engine speed; this method is a step towards a practically implementable virtual torque sensor. This methodology of torque estimation is evaluated through on-road testing on a truck powered by a Cummins ISX12G compressed natural gas engine at engine speeds of 1000-2100 RPM and at different transmission gear ratios and throttle conditions. The proposed algorithm demonstrated a mean absolute percentage error of 13.2%.</div></div>

SAE technical papers on CD-ROM/SAE technical paper seriesVol. 1
Western Michigan University (US)
Affordable and clean energy
Openalex Percentile: Top 84%
Advanced Combustion Engine Technologies
AI Navigator

Ask Laika to Summarize, Analyze, and Connect papers live on the map.

Summarize Papers & Methodologies

Extract key findings, datasets, and comparative methods across publications.

Benchmark Rankings & Visual Analytics

Rank top research institutions, authors, funders, topics, and journals by Field-Weighted Citation Impact (FWCI) and paper volume with instant charts.

Connect Distant Disciplines

Bridge topological clusters on the map to find hidden collaborative intersections.