Self-learning method for efficient power generation area of engine and mixer truck

Abstract

The invention provides a self-learning method for an efficient power generation area of an engine and a stirrer. The self-learning method is used for solving the problem that efficient power generation cannot be performed when universal characteristic parameters of the engine cannot be determined. The method is suitable for the mixer truck, and the self-learning method comprises the steps that when the mixer truck is in a driving working condition, i groups of efficient power generation intervals are set based on a maximum real-time load Ms max and a maximum real-time rotating speed value ns max obtained through first-stage self-learning, and each group of efficient power generation intervals comprises a first rotating speed n1i, a second rotating speed n2i and a first load Mi; aiming at each group of high-efficiency power generation intervals, setting the rotating speed and load of an engine of the mixer truck based on the high-efficiency power generation intervals, carrying out oil consumption test, and recording fuel consumption; and taking the first rotating speed, the second rotating speed and the first load in the efficient power generation interval corresponding to the minimum fuel consumption as a first set rotating speed, a second set rotating speed and a first set load, and taking the maximum real-time load as a second set load.

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