Motorcycle Riding Control Parameter Adaptation for Varying Conditions
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Solution Overview
Problem
Existing two-wheeled vehicles lack dynamic adaptation of riding functions for enhanced comfort and safety in automated longitudinal and lateral control, particularly for new motorcycle users who demand advanced rider assistance systems.
Innovation Solution
A control unit dynamically adapts riding functions based on manual settings, environmental conditions, and riding behavior to optimize dynamics, including acceleration, deceleration, and jerk behavior, using haptic or virtual operating elements and sensors for real-time adjustments.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Extent of automation
If riding functions are activated for automated longitudinal and lateral control, then control automation level is improved, but adaptability to varying riding conditions deteriorates
Solution Approach 1:
The patent applies dynamics by making the riding function's control parameters adjustable and adaptive. The control unit dynamically modifies control parameters (acceleration, deceleration, jerk) based on detected riding conditions, rider behavior, and environmental factors. This transforms a static automated control system into a dynamic one that continuously adapts to varying conditions, resolving the contradiction between automation and adaptability.
Solution Approach 2:
The patent implements parameter changes by modifying control parameters (acceleration rate, deceleration rate, jerk limits) based on detected conditions. The control unit adjusts these parameters in response to riding mode selections, traffic situations, weather conditions, and rider behavior patterns. This allows the automated control system to maintain high automation while adapting to different riding scenarios through parameter modification.
2Adaptability or versatility
If control parameters are dynamically adapted based on multiple factors, then adaptability is improved, but device complexity deteriorates
Solution Approach 1:
The patent applies universality by designing a control unit that performs multiple functions: detecting riding conditions, analyzing rider behavior, selecting appropriate riding modes, and adjusting control parameters. This multi-functional approach consolidates what could be separate complex systems into a single integrated control unit, reducing overall device complexity while maintaining high adaptability.
Solution Approach 2:
The control system implements self-service by automatically detecting riding conditions and rider behavior, then autonomously adjusting control parameters without requiring manual intervention. The system monitors its own operation and adapts to changing conditions independently, reducing the complexity of manual control interfaces and information processing systems.
3Measurement precision
If multiple sensors and operating elements are integrated for real-time detection, then measurement precision is improved, but device complexity deteriorates
Solution Approach 1:
The patent applies merging by integrating multiple sensors and operating elements into a unified detection system. The control unit consolidates data from various sources (riding condition sensors, rider behavior detectors, environmental sensors) and processes them together to make comprehensive assessments. This merging approach improves measurement precision while managing complexity through integrated processing rather than separate independent systems.
Data Source
AI summary
A control unit and a method are provided for controlling a riding function of a two-wheeled vehicle. The riding function is configured to guide the two-wheeled vehicle longitudinally and/or transversely in an automated manner. The control unit is configured to detect that the riding function is activated in order to bring about automated longitudinal and/or transverse guidance by the riding function, to determine that dynamic adaptation of the riding function is requested by the driver, and in response thereto, to initiate that, with the riding function being active, a control parameter influencing the dynamics of the riding function is adapted on the basis of the requested dynamic adaptation.
