Clutch Pedal Learning System for Shift Clutch Abrasion Prevention
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
In mild hybrid electric vehicles with manual transmission, the frequent engagement of a half-clutch state accelerates abrasion of the shift clutch, leading to premature wear, which can be exacerbated by driver-specific operation patterns.
Innovation Solution
A method and apparatus that determine and store moving average values of clutch pedal depressed speed, value, and engine speed over a predetermined time to adjust clutch operation, using weight values that prioritize recent data, thereby preventing shift clutch abrasion by optimizing clutch engagement and release based on driver tendencies.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If the clutch pedal operation is frequently adjusted to match driver tendencies, then the adaptability of the clutch control system is improved, but the complexity of the control system increases due to learning mechanisms and moving average calculations
Solution Approach 1:
The control system performs preliminary learning of driver tendencies by storing and analyzing clutch pedal operation patterns (depressed speed, depressed value, engine speed) over time. This preliminary data collection and analysis enables the system to adapt future clutch control operations to match the driver's preferences, resolving the contradiction by preparing adaptation data in advance rather than requiring complex real-time adjustments
Solution Approach 2:
The system implements feedback through moving average calculations that continuously monitor clutch pedal operation parameters (depressed speed, depressed value, engine speed at shifting timing) and use this feedback to adjust clutch control strategies. The feedback mechanism allows the system to learn driver tendencies and modify control behavior accordingly, achieving adaptability through iterative improvement rather than complex predetermined control logic
2Reliability
If the clutch operation is optimized to prevent shift clutch abrasion, then the durability of the shift clutch is improved, but the ease of operation may be reduced due to automated control adjustments
Solution Approach 1:
The clutch control system performs self-service by automatically adjusting clutch engagement and release operations based on learned driver tendencies. The system monitors its own performance through moving average calculations of clutch operation parameters and autonomously modifies control strategies to prevent shift clutch abrasion, eliminating the need for manual intervention while maintaining durability
Solution Approach 2:
The system optimizes clutch operation by dynamically changing critical parameters such as depressed speed, depressed value, and engine speed at shifting timing. By adjusting these parameters based on moving average analysis of driver behavior, the system prevents excessive clutch abrasion while maintaining operation characteristics that align with driver expectations, thus preserving ease of operation
Data Source
AI summary
A method for learning a clutch pedal may include determining whether a clutch pedal is operated; determining at least one of a depressed speed of the clutch pedal, a depressed value of the clutch pedal, and a speed of an engine at a shifting timing when the clutch pedal is operated; determining at least one of a moving average value of the depressed speed of the clutch pedal, a moving average value of the depressed value of the clutch pedal, and a moving average of the speed of the engine for a predetermined time; and storing the moving average value as a correction value for preventing an abrasion of a shift clutch.