Diesel engine characterization and performance scaling via brake specific fuel consumption map dimensional analysis

Evan Pelletier, Sean Brennan

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

The goal of this work is to develop easily generalized models of heavy duty truck engine maps that allow for approximatecomparisons of engine performance, thus enabling fuel efficientmatching of engines to a set of corresponding loads and routes.This is achieved by applying dimensional analysis to create auniformly applicable, dimensionless Brake Specific Fuel Consumption (BSFC) map that fits the behavior of a wide range ofdiesel engines. A commonality between maps was found to occurwhen engine data is scaled by specific dimensional parametersthat target data consistency among the primary operating pointsacross engines. This common map highlights observable trendsin engine performance based on the influence of these same parameters being scaled across engines. The resulting dimensionless engine map fits the minimum BSFC regions of four dieselengines to within 2.5 percent.

Original languageEnglish (US)
Title of host publicationModeling and Control of Engine and Aftertreatment Systems; Modeling and Control of IC Engines and Aftertreatment Systems; Modeling and Validation; Motion Planning and Tracking Control; Multi-Agent and Networked Systems; Renewable and Smart Energy Systems; Thermal Energy Systems; Uncertain Systems and Robustness; Unmanned Ground and Aerial Vehicles; Vehicle Dynamics and Stability; Vibrations
Subtitle of host publicationModeling, Analysis, and Control
PublisherAmerican Society of Mechanical Engineers (ASME)
ISBN (Electronic)9780791859155
DOIs
StatePublished - Jan 1 2019
EventASME 2019 Dynamic Systems and Control Conference, DSCC 2019 - Park City, United States
Duration: Oct 8 2019Oct 11 2019

Publication series

NameASME 2019 Dynamic Systems and Control Conference, DSCC 2019
Volume2

Conference

ConferenceASME 2019 Dynamic Systems and Control Conference, DSCC 2019
CountryUnited States
CityPark City
Period10/8/1910/11/19

All Science Journal Classification (ASJC) codes

  • Control and Systems Engineering
  • Mechanical Engineering
  • Industrial and Manufacturing Engineering

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