Shift Range Control with Valley Position Learning Validation
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Solution Overview
Problem
The reliability of valley position learning in shift range control devices is compromised due to increased friction in low temperature environments, noise in rotation angle sensors, and play in the rotation transmission system, leading to incorrect shift range switching and reduced rotational positioning accuracy.
Innovation Solution
A shift range control device is developed with an angle detector, valley position learner, and validity determination unit to detect failures in valley position learning by determining the validity of learning values, thereby preventing erroneous shift range switching and improving determination accuracy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If valley position learning is performed based on rotation angle sensor output signals, then shift range switching control is enabled, but reliability deteriorates due to friction in low temperature environments and noise in sensors
Solution Approach 1:
The system continuously monitors the rotation angle sensor output signals and compares them against expected valley position patterns. When deviations are detected (indicating learning failure due to friction or noise), the system provides feedback to reset and reperform the valley position learning process, ensuring accurate positioning despite environmental conditions or sensor interference.
Solution Approach 2:
The system performs preliminary validation of the valley position learning process by monitoring whether the learning completes successfully. If the learning fails (detected through validation of learning results), the system preemptively resets the learning state and reinitiates the learning process before actual shift range switching occurs, preventing erroneous control actions.
2Manufacturing precision
If valley position learning is performed without validation, then device complexity is reduced, but shift range switching accuracy deteriorates due to undetected learning failures
Solution Approach 1:
The system implements a feedback mechanism that validates learning results by checking whether the detected valley position matches expected parameters. This validation feedback ensures that only accurate valley position data is used for shift range switching, maintaining high switching accuracy without requiring overly complex validation systems.
Solution Approach 2:
The system performs self-validation of the valley position learning through internal monitoring of sensor signals and learning outcomes. The control unit automatically detects learning failures and triggers relearning without external intervention, maintaining accuracy while minimizing additional hardware complexity through software-based self-checks.
3Measurement precision
If rotation angle sensor noise is present, then detection capability is maintained, but valley position learning accuracy deteriorates
Solution Approach 1:
The system monitors the rotation angle sensor output signals for anomalies indicative of noise interference during valley position learning. When noise is detected (through signal validation checks), the system provides feedback to invalidate the current learning attempt and triggers a relearning process, ensuring accurate valley position detection despite sensor noise.
Solution Approach 2:
The system converts the harmful effect of sensor noise into a beneficial validation mechanism. By monitoring for noise-induced anomalies in the rotation angle signals, the system uses the presence of noise as a trigger to reset and reperform learning, ultimately improving reliability by preventing noisy data from corrupting the valley position information.
4Reliability
If friction increases in low temperature environments, then mechanical operation becomes difficult, but valley position learning fails leading to incorrect shift range switching
Solution Approach 1:
The system performs preliminary monitoring of the valley position learning process to detect failures caused by high friction conditions. When learning failure is detected (through validation of learning outcomes), the system preemptively resets the learning state and reinitiates the process before incorrect shift range switching occurs, ensuring reliable operation despite high friction forces in cold environments.
Solution Approach 2:
The system implements feedback monitoring of the valley position learning results. When friction prevents successful learning (detected through validation checks), the system provides feedback to trigger a relearning cycle, ensuring that accurate valley position data is obtained before shift range switching is executed, thereby maintaining switching reliability under high friction conditions.
Data Source
AI summary
A shift range control device includes an angle detector, a valley position learner, and a validity determiner. The angle detector detects a rotation angle of an output shaft of a shift actuator. The valley position learner learns the rotation angle of the output shaft when a locker is positioned at a valley bottom of a recess as a valley position based on a detection angle of the angle detector. The validity determiner determines validity of a learning value of the valley position learner.