Accelerator Pedal Responsiveness Tuning for Driver-Adaptive Torque Control
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Solution Overview
Problem
Existing vehicle systems lack the ability to personalize and adapt accelerator pedal responsiveness based on driver experience and preference, leading to inconsistent and potentially uncomfortable driving experiences, especially for novice drivers and experienced drivers seeking flexibility.
Innovation Solution
A system that adjusts accelerator pedal responsiveness by determining real-time pedal output, comparing it to a reference model, and modifying torque and sensitivity to align with a target mean pedal pressing behavior, using a processor and memory to analyze and adjust accelerator pedal output based on road type and driver behavior.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Adaptability or versatility
If accelerator pedal responsiveness is fixed for all drivers, then device simplicity is maintained, but driver experience and comfort deteriorate due to lack of personalization
Solution Approach 1:
The system pre-stores reference pedal pressing behavior data for multiple driver types (novice, intermediate, experienced) in advance. When a driver uses the vehicle, the system automatically selects and applies the appropriate reference behavior without requiring real-time analysis or manual configuration, thus achieving personalization without complex real-time processing
Solution Approach 2:
The system automatically detects the current driver's skill level based on their pedal pressing patterns and self-adjusts the accelerator responsiveness to match the appropriate reference behavior. The driver无需 manually configure settings - the system serves itself by autonomously adapting to the driver's needs
2Measurement precision
If accelerator pedal responsiveness is highly sensitive, then driving precision is improved, but driver comfort deteriorates due to overly responsive behavior
Solution Approach 1:
The system applies different responsiveness characteristics to different driver skill levels. Novice drivers receive a more tolerant, less sensitive response curve that prioritizes comfort, while experienced drivers can access more precise control. Each driver type gets a customized responsiveness profile matched to their skill level
Solution Approach 2:
The system dynamically adjusts accelerator pedal responsiveness parameters based on the detected driver type and current driving conditions. By changing parameters such as sensitivity thresholds and response curves, the system optimizes both precision and comfort for each specific situation
3Productivity
If real-time adjustment of pedal responsiveness is implemented, then driving efficiency is improved, but computational load increases
Solution Approach 1:
Reference pedal pressing behavior data for multiple driver types and road conditions is pre-computed and stored in memory before driving. During actual operation, the system only needs to retrieve and apply the appropriate pre-computed reference behavior rather than performing complex real-time analysis, significantly reducing computational load
Solution Approach 2:
The system continuously monitors actual pedal pressing behavior and compares it against reference behaviors, using feedback to automatically adjust responsiveness. This closed-loop approach improves driving efficiency by learning from actual usage patterns while maintaining manageable computational requirements through iterative refinement
Data Source
AI summary
A real-time accelerator pedal output of the vehicle that quantifies the extent to which the accelerator pedal is pressed by a driver over a period of time is determined. Whether a real-time speed of the vehicle is within a predefined speed range associated with a type of road being traversed is determined. Responsive to the real-time speed being within the predefined speed range, a target mean accelerator pedal output is identified based on the road type and pedal-pressing behaviors of multiple reference drivers associated with the road type. The torque of the vehicle is adjusted based on the target mean accelerator pedal output.


