KNOCKING CONTROL METHOD BASED ON SEPARATION LEARNING RANGE

A knocking control method based on a separation learning range may include (a) designating a learning cell in a driving range represented by a load-rotating number, (b) dividing the learning cell into individual cells, (c) designating a knocking cell of a partial load and a knocking cell of a full l...

Ausführliche Beschreibung

Gespeichert in:

Bibliographische Detailangaben
1. Verfasser:	BONG HA-DONG
Format:	Patent
Sprache:	eng
Schlagworte:	BLASTING CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TOTRANSPORTATION COMBUSTION ENGINES CONTROLLING COMBUSTION ENGINES GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS HEATING HOT-GAS OR COMBUSTION-PRODUCT ENGINE PLANTS IGNITION, OTHER THAN COMPRESSION IGNITION, FORINTERNAL-COMBUSTION ENGINES LIGHTING MEASURING MEASURING FORCE, STRESS, TORQUE, WORK, MECHANICAL POWER,MECHANICAL EFFICIENCY, OR FLUID PRESSURE MECHANICAL ENGINEERING PHYSICS TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINSTCLIMATE CHANGE TESTING TESTING OF IGNITION TIMING IN COMPRESSION-IGNITION ENGINES TESTING STATIC OR DYNAMIC BALANCE OF MACHINES ORSTRUCTURES TESTING STRUCTURES OR APPARATUS NOT OTHERWISE PROVIDED FOR WEAPONS
Online-Zugang:	Volltext bestellen
Tags:	Tag hinzufügen Keine Tags, Fügen Sie den ersten Tag hinzu!

Beschreibung
Zusammenfassung:	A knocking control method based on a separation learning range may include (a) designating a learning cell in a driving range represented by a load-rotating number, (b) dividing the learning cell into individual cells, (c) designating a knocking cell of a partial load and a knocking cell of a full load, respectively, as other cells; and (d) determining a reference of a spark timing advanced and lagged angle by a difference between a partial load learning value of a high load and a learning value in the full load and based on the determined reference, simultaneously performing a knocking cell learning of the partial load and a knocking cell learning of the full load or not performing the knocking cell learning of the full load at the time of performing the knocking cell learning of the partial load.