Engine Valve Control Learning Correction for Intake Air Amount
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Solution Overview
Problem
Existing control systems for engine valve mechanisms face challenges in reliably learning correction values for valve lift amount and center phase variable mechanisms, especially when the intake air flow rate reaches sonic speed, requiring more than necessary valve lift reduction during idling, which limits the frequency of accurate correction value acquisition.
Innovation Solution
A control apparatus and method that computes errors in intake air amount and influence ratios between center phase and valve lift amount mechanisms within specific operating regions, allowing for the learning of correction values to adjust valve lift and phase settings, ensuring accurate control across intermediate operating regions.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the valve lift amount is reduced to achieve sonic speed in intake air flow, then learning of correction value for valve lift amount variable mechanism can be ensured, but the valve lift amount becomes insufficient for idle operation
Solution Approach 1:
The operating region is divided into three distinct zones: first operating region (low valve operating angle), intermediate operating region (moderate valve operating angle), and second operating region (high valve operating angle). Each region has specific learning characteristics and correction value acquisition methods, allowing the system to optimize learning accuracy without compromising idle operation capability.
Solution Approach 2:
The system dynamically adjusts the learning process based on the current operating region. In the intermediate operating region, the system computes error components and influence ratios to determine appropriate correction values, enabling adaptive learning that maintains both accuracy and operational capability across different engine states.
2Productivity
If correction values are learned in the intermediate operating region, then learning frequency can be increased, but the error components from both valve lift amount and center phase variable mechanisms must be separated
Solution Approach 1:
The error in intake air amount is segmented into two independent components: one caused by valve lift amount variable mechanism and another caused by center phase variable mechanism. By computing the influence ratio of each mechanism, the system can separately learn correction values for each, reducing the complexity of handling combined errors in the intermediate operating region.
Solution Approach 2:
The system uses feedback from intake air amount measurements to compute error components and influence ratios. This feedback loop enables continuous learning and adjustment of correction values, increasing learning frequency while maintaining manageable complexity through systematic error decomposition.
Data Source
AI summary
In an engine provided with a valve lift amount variable mechanism and a center phase variable mechanism for an intake valve, a region between a region where a flow rate of an intake air passing through the intake valve reaches a sonic speed and a region where an intake air amount does not substantially change relative to a change in an opening area of the intake valve is made to be a learning region. Then, in order to resolve an error in intake air amount in the learning region, a correction value for correcting control process of the valve lift amount variable mechanism is learned. When the learning of the correction value is converged, the learning correction value is corrected with an occupied rate of the valve lift amount variable mechanism in the influence ratio between influences on the two mechanisms in relation to the error. Further, based on the error occurring in a state corrected with the learning correction value which is corrected with the influence ratio, a correction value for correcting control process of the center phase variable mechanism is learned.


