My Account Log in

1 option

Development and validation of a virtual sensor for estimating the maximum in-cylinder pressure of SI and GCI engines University of Bologna

SAE Technical Papers (1906-current) Available online

View online
Format:
Book
Conference/Event
Author/Creator:
Scocozza, Guido Federico, author.
Contributor:
Benedetti, Cristian
Brusa, Alessandro
Cavina, Nicolo
De Cesare, Matteo
Panciroli, Marco
Ponti, Fabrizio
Ravaglioli, Vittorio
Silvagni, Giacomo
Conference Name:
15th International Conference on Engines & Vehicles (2021-09-12 : Capri, Italy)
Language:
English
Physical Description:
1 online resource cm
Place of Publication:
Warrendale, PA SAE International 2021
Summary:
This work focuses on the development and validation of a data-driven model capable of predicting the maximum in-cylinder pressure during the operation of an internal combustion engine. The model is based on two parameters, one that represents engine load and another one the combustion phase. Experimental data from four different gasoline engines, two turbocharged GDI, a naturally aspirated SI and a Gasoline Compression Ignition (GCI) engine, was used to calibrate and validate the model. Some of these engines were equipped with technologies such as Low-Pressure (LP) EGR and Water Injection (WI) or a compression ignition type of combustion in the case of the GCI engine. A vast amount of engine points were explored in order to cover as much as possible of the operating range when considering automotive applications and thus confirming the broad validity of the model. The validation process was carried out using both mean data from each explored engine point as well as cycle-by-cycle data, focusing on onboard application and the model implementation in a combustion control strategy. The validation also includes lean operating conditions for one of the SI engines, case in which λ had to be added as a third input variable. In all cases, the model demonstrated to be accurate within 5% when considering both mean data and cycle-by-cycle data, while retaining its simplicity and low computational weight. Additionally, a study on the minimum amount of engine points necessary for the model calibration has been conducted and it was concluded that only about 20 engine points are needed, if chosen strategically as regards engine load and combustion phase
Notes:
Vendor supplied data
Publisher Number:
2021-24-0026
Access Restriction:
Restricted for use by site license

The Penn Libraries is committed to describing library materials using current, accurate, and responsible language. If you discover outdated or inaccurate language, please fill out this feedback form to report it and suggest alternative language.

Find

Home Release notes

My Account

Shelf Request an item Bookmarks Fines and fees Settings

Guides

Using the Find catalog Using Articles+ Using your account