Pull-Drift Compensation Torque Adaptation
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Current pull-drift compensation systems adapt slowly to road crown changes, leading to unnatural and prolonged opposing torque feelings for drivers, causing discomfort due to slow adaptation rates and opposing forces with driver input.
Innovation Solution
An enhanced pull-drift compensation system that monitors both pull-drift compensation torque and driver input torque, transitioning between faster and slower learning rates and resetting torque to default values based on opposing directions, allowing for quicker adaptation and natural transitions over varying road surfaces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If pull-drift compensation learns and applies compensation torque slowly, then the system maintains stability and avoids excessive adjustments, but the adaptation time increases and driver discomfort persists longer
Solution Approach 1:
The system dynamically adjusts the learning rate based on detected driving conditions. When road crown or crosswind conditions are identified, the system transitions from a normal learning rate to an accelerated learning rate, allowing faster adaptation while maintaining stability during normal conditions
Solution Approach 2:
The system changes the learning rate parameter from a fixed value to a variable that can be adjusted based on detected conditions. The learning rate is increased when opposing torque is detected, enabling faster compensation adaptation without sacrificing stability during normal operation
2Ease of operation
If pull-drift compensation applies learned torque continuously, then the system maintains straight-ahead heading, but opposing torque feelings occur when road conditions change
Solution Approach 1:
The system continuously monitors driver torque input and vehicle heading to detect when the applied compensation torque becomes opposing to driver input. When opposing torque is detected, the system triggers a learning rate acceleration to quickly adapt to changing road conditions and eliminate the opposing force sensation
Solution Approach 2:
The compensation system transitions from a static learned torque application to a dynamic system that adjusts learning speed based on real-time feedback. The system remains stable during normal operation but accelerates adaptation when conditions change, balancing ease of operation with adaptability
3Device complexity
If the system uses a single learning rate for pull-drift compensation, then the control logic is simple, but the system cannot quickly adapt to sudden road crown or crosswind changes
Solution Approach 1:
The learning rate is segmented into multiple levels: a normal learning rate for stable conditions and an accelerated learning rate for adaptive conditions. The system switches between these segments based on detected driving conditions, enabling fast adaptation without requiring completely complex control logic
Data Source
AI summary
A pull-drift compensation controller device for a vehicle configured to perform operations including identifying a current pull-drift compensation torque and a current driver input torque while in an adapt-and-compensate state in which pull-drift compensation torque is learned and applied, wherein the vehicle is moving at a substantially straight heading; and performing a transition from a normal pull-drift compensation adjustment sub-state of the adapt-and-compensate state to a fast pull-drift compensation adjustment sub-state of the adapt-and-compensate state based on the current driver torque opposing the direction of the current pull-drift compensation torque without a change in the heading.