Brake Judder Localization Using Multi-Sensor AI Detection
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Solution Overview
Problem
Existing judder identification systems fail to accurately pinpoint the position and intensity of judder occurring during braking, leading to unnecessary replacement of all front wheels and increased costs, which affects vehicle comfort and user satisfaction.
Innovation Solution
A judder identification device utilizing a communication device, first and second sensor groups, and AI-based processors to predict and identify the position and intensity of judder through CNN-based deep learning, filtering, and sensor data analysis.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If dynamics-based judder identification logic is applied, then judder detection capability is improved, but all front wheels must be replaced when judder is identified, increasing replacement cost
Solution Approach 1:
The patent segments the wheel identification process by using multiple sensor groups (first sensor group on vehicle body, second sensor group on wheel) to independently detect and identify the specific wheel causing judder. This allows pinpointing the exact problematic wheel rather than replacing all front wheels, directly resolving the cost issue while maintaining detection accuracy
Solution Approach 2:
The patent introduces communication devices and processor units as intermediaries to transmit and analyze data between sensor groups. The first processor receives data from both sensor groups, processes the information, and identifies the specific wheel position, enabling precise localization without requiring physical inspection or replacement of all wheels
2Measurement precision
If multiple sensor groups and AI processors are used to identify judder position and intensity, then identification accuracy is improved, but device complexity increases
Solution Approach 1:
The patent makes the processor unit universal by designing it to handle multiple functions: receiving data from different sensor groups, processing various types of sensor signals, identifying both position and intensity of judder, and controlling output devices. This multi-functionality reduces the need for separate dedicated components for each function, thereby managing complexity while maintaining high identification accuracy
Solution Approach 2:
The patent merges the first sensor group (on vehicle body) and second sensor group (on wheel) into a coordinated detection system that works together through the communication device and processor. By combining their data and processing capabilities, the system achieves accurate judder identification without requiring entirely separate systems, thus controlling overall device complexity
Data Source
AI summary
A vehicle including a judder identification device includes a first sensor group including a plurality of sensors; a second sensor group including a plurality of sensors different from the plurality of sensors of the first sensor group; a processor configured to predict a judder intensity based on information detected by the plurality of sensors of the first sensor group, predict a judder position based on the information detected by the plurality of sensors of the first sensor group and information detected by the plurality of sensors of the second sensor group, and identify a judder position and a judder intensity based on the predicted judder intensity, a preset judder intensity, the predicted judder position, and a preset judder position; and an outputter configured to output the identified judder position and the identified judder intensity.