Automotive Engines.pdf

Automotive Engines

Alexander A. Stotsky

Automotive Engines

Control, Estimation, Statistical Detection

123

Professor Dr. Alexander A. Stotsky

Department of Computer Science and Engineering

Aalborg University

Niels Bohrs Vej 8

6700 Esbjerg

Denmark

astotsky@aaue.dk

stotskya@mail.ru

ISBN 978-3-642-00163-5

e-ISBN 978-3-642-00164-2

DOI 10.1007/978-3-642-00164-2

Springer Dordrecht Heidelberg London New York

Library of Congress Control Number: 2009921493

Springer-Verlag Berlin Heidelberg 2009

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Cover design: Kirchner, Erich

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Preface

Increasing requirements for a fuel economy, exhaust emissions and the output

performance and also the complexity of the automotive engines necessitate

the development of a new generation of the engine control functionality. This

book oﬀers the solutions of a number of the engine control and estimation

problems and consists of ten Chapters grouped in four Parts. Idle speed con-

trol and cylinder ﬂow estimation techniques are presented in the ﬁrst Part of

the book; engine torque and friction estimation methods are presented in the

second Part; engine misﬁre and Cam Proﬁle Switching diagnostic methods

are presented in the third Part; and engine knock detection and control algo-

rithms are discussed in the fourth Part of the book. The algorithms presented

in the ﬁrst Part of the book use a mean value engine model and the tech-

niques described in the rest of the book are based on the cylinder individual

engine model. The book provides a suciently wide coverage of the engine

functionality.

The book also oﬀers a tool-kit of new techniques developed by the au-

thor which was used for the problems described above. The techniques can be

listed as follows: input estimation, composite adaptation, spline and trigono-

metric interpolations, a look-up table adaptation and a threshold detection

adaptation. These methods can successfully be used for other engine control

and estimation applications. These methods are listed in Table 0.1 and Ta-

ble 0.2 which contain a brief description of the methods, application areas and

references providing a reader with the overview and a guidance through the

book.

One of the key techniques used in this book is the statistical techniques. A

periodic nature of the engine rotational dynamics and a cycle-to-cycle variabil-

ity allows the presentation of the engine signals as statistical signals utilizing

such statistical variables as mean values and standard deviations. The detec-

tion of the engine events such as misﬁre events, knock events and others can

be associated with the statistical hypotheses. The statistical hypotheses can

in turn be tested via decision making procedures, described in Table 0.3 for

example. Two basic types of errors can be made in the statistical tests of the

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