Automated System for Optimized Calibration of Engine Management Systems

Schmitz, Günter; Oligschläger, U.; Eifler, Gerald; Lechner, H.

doi:10.4271/940151

Cited by 23 publications

(19 citation statements)

References 2 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…In response to an increased number of parameters that can be calibrated, model-based calibration has been adopted by the diesel engine industry in the last decade or so, but only for steady-state calibration [1][2][3][4][5][6][7][8][9][10][11][12][13][14]. Transient calibration is currently a manual process depending on the expertise of the engineer and is largely performed to meet regulation rather than optimize the system.…”

Section: Introductionmentioning

confidence: 99%

Development of a model-based transient calibration process for diesel engine electronic control module tables – Part 1: data requirements, processing, and analysis

Brahma

Chi

2011

International Journal of Engine Research

View full text Add to dashboard Cite

This is the first part of a study investigating a model-based transient calibration process for diesel engines. The motivation is to populate hundreds of parameters (which can be calibrated) in a methodical and optimum manner by using model-based optimization in conjunction with the manual process so that, relative to the manual process used by itself, a significant improvement in transient emissions and fuel consumption and a sizable reduction in calibration time and test cell requirements is achieved. Empirical transient modelling and optimization has been addressed in the second part of this work, while the required data for model training and generalization are the focus of the current work. Transient and steady-state data from a turbocharged multicylinder diesel engine have been examined from a model training perspective. A single-cylinder engine with external air-handling has been used to expand the steady-state data to encompass transient parameter space. Based on comparative model performance and differences in the non-parametric space, primarily driven by a high engine difference between exhaust and intake manifold pressures (DP) during transients, it has been recommended that transient emission models should be trained with transient training data. It has been shown that electronic control module (ECM) estimates of transient charge flow and the exhaust gas recirculation (EGR) fraction cannot be accurate at the high engine DP frequently encountered during transient operation, and that such estimates do not account for cylinder-to-cylinder variation. The effects of high engine DP must therefore be incorporated empirically by using transient data generated from a spectrum of transient calibrations. Specific recommendations on how to choose such calibrations, how many data to acquire, and how to specify transient segments for data acquisition have been made. Methods to process transient data to account for transport delays and sensor lags have been developed. The processed data have then been visualized using statistical means to understand transient emission formation. Two modes of transient opacity formation have been observed and described. The first mode is driven by high engine DP and low fresh air flowrates, while the second mode is driven by high engine DP and high EGR flowrates. The EGR fraction is inaccurately estimated at both modes, while EGR distribution has been shown to be present but unaccounted for by the ECM. The two modes and associated phenomena are essential to understanding why transient emission models are calibration dependent and furthermore how to choose training data that will result in good model generalization.

show abstract

Section: Introductionmentioning

confidence: 99%

Development of a model-based transient calibration process for diesel engine electronic control module tables – Part 1: data requirements, processing, and analysis

Brahma

Chi

2011

International Journal of Engine Research

View full text Add to dashboard Cite

show abstract

“…3 This can be accomplished using a purely experimental, or a partially model-based, approach [127], [165]. In both cases, the iterations can be performed using heuristics based on experience with previous engine calibration tasks or using systematic approaches, e.g., forming the gradients of the cost function (4.6) and using these vectors in a steepest-descent algorithm as discussed in [140], [91], [148] and [149].…”

Section: Engine Calibrationmentioning

confidence: 99%

Introduction to Modeling and Control of Internal Combustion Engine Systems

2004

View full text Add to dashboard Cite

SoftcOVel: reprint of the hardcover 1st edition 2004 The use of general descriptive names, registered names trademarks, etc. in this publication does not imply, even in the absence of a specific statement, that such names are exempt from the relevant protective laws and regulations and therefore free for general use. Preface Who should read this text?This text is intended for students interested in the design of classical and novel IC engine control systems. Its focus lies on the control-oriented mathematical description of the physical processes involved and on the model-based control system design and optimization. This text has evolved from a lecture series held during the last several years in the mechanical engineering (ME) department at ETH Zurich. The presumed audience is graduate ME students with a thorough understanding of basic thermodynamic and fluid dynamics processes in internal combustion engines (ICE). Other prerequisites are knowledge of general ME topics (calculus, mechanics, etc.) and a first course in control systems. Students with little preparation in basic ICE modeling and design are referred to [52] Why has this text been written?Internal combustion engines represent one of the most important technological success stories in the last 100 years. These systems have become the most frequently used sources of propulsion energy in passenger cars. One of the main reasons that this has occurred is the very high energy density of liquid hydrocarbon fuels. As long as fossil fuel resources are used to fuel cars, there are no foreseeable alternatives that offer the same benefits in terms of cost, safety, pollutant emission and fuel economy (always in a total cycle, or "wellto-wheel" sense, see e.g., [5] and [55]).Internal combustion engines still have a substantial potential for improvements; Diesel (compression ignition) engines can be made much cleaner and Otto (spark ignition) engines still can be made much more fuel efficient. Each goal can be achieved only with the help of control systems. Moreover, with the systems becoming increasingly complex, systematic and efficient system VI Preface design procedures have become technological and commercial necessities. This text addresses these issues by offering an introduction to model-based control system design for ICE. What can be learned from this text?The primary emphasis is put on the ICE (torque production, pollutant formation, etc.) and its auxiliary devices (air-charge control, mixture formation, pollutant abatement systems, etc.). Mathematical models for some of these processes will be developed below. Using these models, selected feedforward and feedback control problems will then be discussed.A model-based approach is chosen because, even though more cumbersome in the beginning, it after proves to be the most cost-effective in the long run. Especially the control system development and calibration processes benefit greatly from mathematical models at early project stages.The appendix contains a brief summary of the most important control...

show abstract

“…Internal combustion engine calibration automation is introduced by Kampelmuhler et al (1993), Schmitz et al (1994), Ullmann et al (2005), Jones and Muske (2007), and Foster (2008). Simulation-based calibration (related to virtual calibration) is explored by Onder and Geering (1995), Rask and Sellnau (2004), Kim andGuezennec (2005), Millich et al (2005), and Neumeister et al (2007).…”

Section: Engine Emissions Behavior and Steady-state Calibration Optimmentioning

confidence: 98%

Combustion, emissions, and calibration for diesel engine system design

Xin¹

2013

Diesel Engine System Design

View full text Add to dashboard Cite

Automated System for Optimized Calibration of Engine Management Systems

Cited by 23 publications

References 2 publications

Development of a model-based transient calibration process for diesel engine electronic control module tables – Part 1: data requirements, processing, and analysis

Development of a model-based transient calibration process for diesel engine electronic control module tables – Part 1: data requirements, processing, and analysis

Introduction to Modeling and Control of Internal Combustion Engine Systems

Combustion, emissions, and calibration for diesel engine system design

Contact Info

Product

Resources

About