Two-Step VVL Lock Pin Failure Avoidance via Learning Control
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Solution Overview
Problem
Existing variable valve lift (VVL) systems face challenges in maintaining effective operation avoidance areas due to physical changes, environmental changes, and battery aging, leading to increased probability of lock pin locking failures.
Innovation Solution
Implementing a two-step VVL malfunction avoidance learning control method that adjusts the operation avoidance area through VVL operation learning, using a lift controller to correct response times and maintain the operation avoidance area by reflecting changes in vehicle conditions, such as engine overrun, neutral control, and electric vehicle driving.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the operation avoidance area is initially set to prevent lock pin locking failure, then the probability of locking failure is reduced, but physical changes and environmental changes over time cause the initial value to become inadequate
Solution Approach 1:
The operation avoidance area is transformed from a static initial value to a dynamic value that is continuously updated through learning control. The ECU adjusts the operation avoidance area based on detected VVL operation status and accumulated learning data, allowing the system to adapt to physical changes, environmental variations, and system aging over time.
Solution Approach 2:
A feedback mechanism is implemented where the ECU detects whether the second lift is properly engaged, compares it with the VVL operation signal, and uses this information to update the operation avoidance area. The learning control continuously refines the operation avoidance area based on actual system performance and detected anomalies.
2Device complexity
If the VVL system operates with a fixed operation avoidance area, then the control logic is simple, but the system cannot reflect physical changes, environmental changes, or battery aging
Solution Approach 1:
The system proactively detects potential locking failure risks by monitoring the relationship between VVL operation signals and second lift engagement status. When anomalies are detected, the learning control preemptively adjusts the operation avoidance area to prevent future locking failures, rather than waiting for actual failures to occur.
Solution Approach 2:
The ECU performs self-adjustment of the operation avoidance area through autonomous learning control. The system uses its own operational data and detected anomalies to automatically refine the operation avoidance area without requiring external intervention or manual recalibration.
3Temperature
If the operation avoidance area is extended to low-temperature conditions, then the system can operate in colder environments, but the response time must be increased to account for hydraulic responsiveness delays
Solution Approach 1:
The learning control dynamically adjusts the operation avoidance area parameters based on detected operating conditions and anomalies. By learning from actual system behavior across different temperatures and conditions, the system optimizes the operation avoidance area to account for hydraulic responsiveness delays without unnecessarily extending the avoidance area, thereby minimizing response time losses.
Data Source
AI summary
A method of two-step variable valve lift (VVL) malfunction avoidance learning control may include: in a two-step VVL system which is operated with a main lift and a secondary lift, verifying, by an electronic control unit (ECU), an operation avoidance area based on locking of a lock pin of a cam follower ; performing VVL operation learning, in which a failure of occurrence of the second lift is determined on the basis of a locking failure of the cam follower due to an initially set value of the operation avoidance area; and reflecting the operation avoidance area to the two-step VVL system with a corrected set value which is obtained through the VVL operation learning.