Knock Thresholds and Stochastic Performance Predictions: An Experimental Validation Study Villanova University

Format:

Book

Conference/Event

Author/Creator:

Shayestehmanesh, Shayestehmanesh, author.

Contributor:

Peyton Jones, James C.

Prucka, Robert

Wang, Zhe

Conference Name:

WCX SAE World Congress Experience (2019-04-09 : Detroit, Michigan, United States)

Language:

English

Physical Description:

1 online resource cm

Place of Publication:

Warrendale, PA SAE International 2019

Summary:

AbstractKnock control systems are fundamentally stochastic, regulating some aspect of the distribution from which observed knock intensities are drawn. Typically a simple threshold is applied, and the controller regulates the resultant knock event rate. Recent work suggests that the choice of threshold can have a significant impact on closed loop performance, but to date such studies have been performed only in simulation. Rigorous assessment of closed loop performance is also a challenging topic in its own right because response trajectories depend on the random arrival of knock events. The results therefore vary from one experiment to the next, even under identical operating conditions. To address this issue, stochastic simulation methods have been developed which aim to predict the expected statistics of the closed loop response, but again these have not been validated experimentally. This paper therefore investigates experimentally the effect of using two different knock thresholds, and validates, to the extent possible, stochastic predictions for their closed-loop performance

Notes:

Vendor supplied data

Publisher Number:

2019-01-1168

Access Restriction:

Restricted for use by site license