Vehicle Wheel Speed Pattern Matching for Rear Steering Control
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional rear wheel steering systems face errors when wheels slip or lock, as they rely on average wheel speed measurements, leading to inaccurate control of rear wheel steering.
Innovation Solution
A control system and method that uses wheel speed sensors to extract pattern data, compares it with pre-stored abnormal patterns, determines the most similar pattern, and detects abnormal wheels, allowing for accurate control of rear wheel steering based on calculated average wheel speeds and vehicle operation states.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If conventional RWS system uses average wheel speed measurements to control rear wheel steering, then the control system is simple to implement, but measurement precision deteriorates when wheels slip or lock
Solution Approach 1:
The patent segments the wheel speed measurement by identifying and separating abnormal wheels from normal wheels. Instead of using a single average value for all wheels, the system divides wheels into abnormal and normal groups based on detected patterns, then calculates separate average speeds for each group. This segmentation prevents abnormal wheel readings from corrupting the overall measurement, thereby improving measurement precision while maintaining relatively simple control logic.
2Ease of operation
If RWS system steers rear wheel in opposite direction of front wheel at low speed, then turning radius is reduced for better maneuverability, but vehicle stability deteriorates when wheel slip occurs
Solution Approach 1:
The patent implements dynamic adjustment of rear wheel steering based on real-time detection of wheel abnormality patterns. The system dynamically switches between opposite-direction steering (for low-speed maneuverability) and same-direction steering (for high-speed stability) based on the detected operational state. When wheel slip or lock is detected through pattern matching, the system adapts the steering direction to maintain vehicle stability, thus resolving the contradiction between maneuverability and reliability through dynamic control.
3Ease of operation
If RWS system relies on average wheel speed without detecting abnormal patterns, then the control method is simple, but control accuracy deteriorates due to wheel slip or lock errors
Solution Approach 1:
The patent creates reference copies of normal wheel speed patterns and stores them as abnormal pattern templates. By comparing actual wheel speed measurements against these pre-stored pattern copies, the system can identify abnormal conditions without requiring complex real-time analysis. This copying approach enables accurate detection of wheel slip or lock conditions while maintaining relatively simple control logic, thus improving measurement precision without significantly increasing control method complexity.
Data Source
AI summary
A control system of a wheel of a vehicle includes: a wheel speed sensor configured to measure a wheel speed of wheels of the vehicle; a data storage configured to store data relating to a plurality of abnormal patterns based on a slip state or a lock state of each wheel; and a controller configured to extract wheel speed pattern data using wheel speeds measured from the wheel speed sensor, to compare the extracted wheel speed pattern data with the stored data relating to the plurality of abnormal patterns, to determine an abnormal pattern among the plurality of abnormal patterns most similar to the extracted wheel speed pattern data according to the comparison, and to detect an abnormal wheel among the wheels of the vehicle based on the determined abnormal pattern.