Idle Speed Control Learning for Internal Combustion Engine
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Solution Overview
Problem
Internal combustion engines face challenges in accurately learning and maintaining a throttle opening degree during idle operation, especially in hybrid vehicles and those with low idle frequency, where temporary combustion deterioration leads to inappropriate learned values and prolonged learning times.
Innovation Solution
A control system that utilizes two learned values for the throttle opening degree: updating the first value during normal operation and the second value during combustion deterioration, preventing inappropriate settings and reducing learning time.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If learning is performed during idle operation, then the throttle opening degree can be learned, but if combustion deteriorates temporarily, the learned value becomes inaccurate
Solution Approach 1:
The learned value is segmented into two distinct components: a base learned value updated during normal operation and a correction value updated during combustion deterioration. This segmentation allows the system to maintain separate learning paths for different operational conditions, preventing deterioration events from corrupting the overall learned value while still adapting to actual operating conditions.
2Reliability
If learning is prohibited during combustion deterioration to maintain accuracy, then learned value accuracy is preserved, but learning time increases and fuel efficiency deteriorates
Solution Approach 1:
The learning process continues continuously without interruption during combustion deterioration by updating the correction value component. This maintains the continuity of useful action (learning) while protecting the overall accuracy by isolating deterioration effects to a separate correction component that can be updated independently.
3Measurement precision
If the learning period is extended to ensure accurate learning, then learning accuracy improves, but fuel efficiency deteriorates due to prolonged idle operation
Solution Approach 1:
The learning process is segmented into rapid correction value updates during combustion deterioration and periodic base learned value updates during normal operation. This segmentation enables accurate learning to be achieved through brief, targeted updates rather than prolonged continuous learning, thereby improving fuel efficiency while maintaining learning accuracy.
Data Source
AI summary
A control system for an internal combustion engine that performs learning of a throttle opening degree during idle operation, at which a target idle speed can be obtained, the control system comprising a control section that is configured to use a first learned value and a second learned value as learned values of the throttle opening degree during idle operation and to update the first learned value when a state of combustion is not deteriorated, and update the second learned value when the state of combustion is deteriorated.