Vehicle Wheel Loosening Detection Using Lateral Acceleration Error
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Solution Overview
Problem
Existing wheel loosening detection methods primarily rely on rotational speed and do not effectively utilize other parameters, such as lateral acceleration, to determine wheel loosening in vehicles.
Innovation Solution
An information processing device acquires actual and estimated lateral acceleration over a predetermined period, calculates the error between the two, and determines wheel loosening based on a predetermined threshold, using a system comprising multiple ECUs, sensors, and a server to analyze data from vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If wheel loosening detection is performed based only on rotational speed, then the detection method is simple, but the detection accuracy is insufficient
Solution Approach 1:
The patent combines multiple detection parameters (rotational speed from wheel speed sensor and lateral acceleration from acceleration sensor) into a unified wheel loosening detection system. By merging these different sensor inputs and analyzing them together through the ECU, the system achieves higher detection accuracy while maintaining reasonable complexity through integrated processing.
Solution Approach 2:
The ECU performs multiple functions: it processes wheel speed signals for rotational speed analysis, processes acceleration sensor signals for lateral acceleration analysis, and integrates both signals for comprehensive wheel loosening detection. This multi-functional approach allows a single device to handle diverse detection tasks, improving accuracy without proportionally increasing system complexity.
2Measurement precision
If multiple parameters are used for wheel loosening detection, then detection accuracy improves, but computational complexity increases
Solution Approach 1:
The ECU continuously monitors both wheel speed and lateral acceleration, comparing actual measurements against expected values and patterns. The system uses feedback from multiple signal sources to dynamically adjust detection thresholds and determine wheel loosening status, improving accuracy through iterative analysis while managing computational load through efficient feedback loops.
Solution Approach 2:
The system analyzes changes in multiple parameters (rotational speed variations and lateral acceleration patterns) over time rather than relying on single static values. By examining parameter changes and trends, the ECU can detect wheel loosening more accurately while using efficient algorithms to process the temporal variations in the data.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
This approach allows for more accurate and comprehensive detection of wheel loosening by considering lateral acceleration, enabling earlier identification and potential maintenance, thus improving vehicle safety and reliability.
Implementation Method 1
an actual measured value of a lateral acceleration of a vehicle detected by an acceleration sensor mounted on the vehicle
Data Source
AI summary
An information processing device includes one or more processors. The one or more processors are configured to: acquire an actual lateral acceleration being an actual measured value of a lateral acceleration of a vehicle detected by an acceleration sensor mounted on the vehicle over a prescribed period that is predetermined; acquire an estimated lateral acceleration being an estimated value of the lateral acceleration over the prescribed period based on a parameter different from the actual lateral acceleration; calculate an error of the actual lateral acceleration with respect to the estimated lateral acceleration based on the estimated lateral acceleration and the actual lateral acceleration acquired over the prescribed period; determine that there is wheel loosening in the vehicle on condition that the calculated error is equal to or greater than a prescribed value that is predetermined.