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Knock characterization, simulation, ...

Spelina, Jill McAfee.

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Knock characterization, simulation, and control.

Record Type:	Electronic resources : Monograph/item
Title/Author:	Knock characterization, simulation, and control./
Author:	Spelina, Jill McAfee.
Published:	Ann Arbor : ProQuest Dissertations & Theses, : 2016,
Description:	202 p.
Notes:	Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
Contained By:	Dissertation Abstracts International78-05B(E).
Subject:	Automotive engineering. -
Online resource:	http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10189463
ISBN:	9781369336450

Knock characterization, simulation, and control.
Spelina, Jill McAfee.

Knock characterization, simulation, and control. - Ann Arbor : ProQuest Dissertations & Theses, 2016 - 202 p.

Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.

Thesis (Ph.D.)--Villanova University, 2016.

Engine knock is an undesirable phenomenon which requires feedback control in order to maximize engine efficiency and avoid damage to the engine. However, knock behaves as a random process and is stochastic in nature, therefore, deterministic notions for control and performance evaluation do not apply. In this dissertation, an extensive statistical analysis is performed on knock intensity data recorded under a broad range of operating conditions in order to characterize the statistical properties of the knock process. In particular, it is shown that knock intensity closely approximates a cyclically independent random process which was implicitly assumed in previous studies. Parametric log-normal and gamma distribution models are also fitted to the empirically defined knock intensity distributions. Using a variety of methods to assess the degree of fit for each, it is shown that the data does not conform to either model at the 0.05 significance level.

ISBN: 9781369336450Subjects--Topical Terms:

2181195
Automotive engineering.

Knock characterization, simulation, and control.
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020 $a 9781369336450
035 $a (MiAaPQ)AAI10189463
035 $a (MiAaPQ)villanovaengineering:10106
035 $a AAI10189463
040 $a MiAaPQ $c MiAaPQ
100 1 $a Spelina, Jill McAfee. $3 3342925
245 1 0 $a Knock characterization, simulation, and control.
260 1 $a Ann Arbor : $b ProQuest Dissertations & Theses, $c 2016
300 $a 202 p.
500 $a Source: Dissertation Abstracts International, Volume: 78-05(E), Section: B.
500 $a Adviser: James C. Peyton Jones.
502 $a Thesis (Ph.D.)--Villanova University, 2016.
520 $a Engine knock is an undesirable phenomenon which requires feedback control in order to maximize engine efficiency and avoid damage to the engine. However, knock behaves as a random process and is stochastic in nature, therefore, deterministic notions for control and performance evaluation do not apply. In this dissertation, an extensive statistical analysis is performed on knock intensity data recorded under a broad range of operating conditions in order to characterize the statistical properties of the knock process. In particular, it is shown that knock intensity closely approximates a cyclically independent random process which was implicitly assumed in previous studies. Parametric log-normal and gamma distribution models are also fitted to the empirically defined knock intensity distributions. Using a variety of methods to assess the degree of fit for each, it is shown that the data does not conform to either model at the 0.05 significance level.
520 $a The identified knock probability characteristics of an engine are used to simulate the closed look behavior of three knock control algorithms, particularly with regard to the threshold level used to define 'knock event'. Traditionally, knock thresholds are set at a high level in order to identify those 'knocking' cycles most likely to cause engine damage or driver annoyance. However, since most cycles fall below this threshold, this results in considerable loss of information. A new method for optimizing the knock threshold is developed based on maximizing the sensitivity of the resultant knock event rate to changes in the spark timing of the engine. The method is applied to both traditional and Cumulative-Summation-based controllers and show a fast transient response, improved mean spark advance, and reduced cyclic dispersion.
520 $a Finally, a new Markov-based analysis is used to compute the statistical properties and distribution of the closed loop response of a system using a traditional knock control law. The analysis shows the closed loop spark advance distribution is initially periodic, although it finally collapses to a steady state distribution as a result of limits applied to the spark advance actuation. The stochastic response of the controller to different initial conditions is also investigated, providing a more rigorous insight into its performance. The results of the Markov--based analysis are confirmed using Monte Carlo simulations.
590 $a School code: 0245.
650 4 $a Automotive engineering. $3 2181195
650 4 $a Mechanical engineering. $3 649730
690 $a 0540
690 $a 0548
710 2 $a Villanova University. $b College of Engineering. $3 2092039
773 0 $t Dissertation Abstracts International $g 78-05B(E).
790 $a 0245
791 $a Ph.D.
792 $a 2016
793 $a English
856 4 0 $u http://pqdd.sinica.edu.tw/twdaoapp/servlet/advanced?query=10189463