Smartphone Accelerometer Wheel Imbalance Detection
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Solution Overview
Problem
Current methods for detecting wheel imbalance, tire pressure issues, and tread wear in vehicles are not efficient, often requiring frequent maintenance checks and can lead to safety and fuel efficiency problems due to late detection of these issues.
Innovation Solution
A computer-based method and system using a mobile personal computing device with sensors like accelerometers to collect and process vibration data from a vehicle in real-time, determining wheel imbalance, tire pressure problems, and excessive tread wear, and alerting the driver or owner through electronic communications.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If traditional maintenance checks are used to detect wheel imbalance and tire issues, then detection reliability is maintained, but detection timing is delayed and maintenance frequency increases
Solution Approach 1:
The patent replaces traditional mechanical vibration analysis equipment with smartphone accelerometers and mobile computing devices to detect wheel imbalance and tire issues. This substitution enables continuous real-time monitoring during normal vehicle operation, transforming periodic maintenance checks into ongoing detection without requiring specialized mechanical testing equipment.
Solution Approach 2:
The system enables the vehicle to self-monitor its own suspension health by utilizing the smartphone's sensors already present in the vehicle. The accelerometer continuously captures vibration data, and the processing system automatically analyzes this data to detect imbalances and tire issues, eliminating the need for external inspection services between maintenance intervals.
2Measurement precision
If specialized vibration analysis equipment is deployed for early detection, then detection precision improves, but device complexity and cost increase
Solution Approach 1:
The patent leverages the smartphone's existing multi-functional capabilities (accelerometer, processor, display, communication interfaces) to perform suspension monitoring. The same device that serves for navigation, communication, and entertainment is also used for detecting wheel imbalance and tire issues, eliminating the need for dedicated specialized equipment.
Solution Approach 2:
The system uses the smartphone's accelerometer as a substitute copy of professional vibration analysis sensors. While not identical to industrial-grade equipment, the smartphone's sensors provide sufficient measurement capability for detecting suspension issues, offering a practical approximation that achieves the detection function without requiring expensive specialized hardware.
3Reliability
If continuous real-time monitoring is implemented, then early detection capability improves, but energy consumption increases
Solution Approach 1:
The system performs vibration analysis at periodic intervals rather than continuously processing data without interruption. The accelerometer captures vibration data continuously, but the processing system analyzes this data at scheduled intervals or when specific conditions are met, reducing computational energy consumption while maintaining effective monitoring coverage.
Solution Approach 2:
The system processes only the necessary portion of vibration data required for detection rather than analyzing all possible parameters continuously. By focusing computation on key vibration frequencies and patterns relevant to wheel imbalance and tire issues, the system achieves reliable detection with reduced energy expenditure compared to comprehensive continuous analysis.
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
Enables early detection of vehicle suspension issues, reducing driver annoyance, fuel consumption, and safety risks by providing real-time monitoring with minimal user burden and potential for significant cost savings.
Implementation Method 1
an accelerometer configured such that when the mobile personal computing device is moving with the vehicle, the accelerometer produces data that represents vibration that results, at least in part, from the vehicle's motion
Data Source
AI summary
A computer-based method to facilitate detecting wheel imbalance, a tire pressure problem, or excessive tread wear on tires of a moving vehicle is disclosed. The method includes collecting (e.g., from an accelerometer of a mobile personal computing device) data that represents vibration that results, at least in part, from the vehicle's motion, and determining, with a computer-based processor, whether the moving vehicle has wheel imbalance, a tire pressure problem, and/or excessive tire tread wear based at least in part on the vibration data produced by the accelerometer (and, possibly other data), where the mobile personal computing device and the accelerometer are moving with the vehicle when the data is being collected.