Tire-side Road Surface State Estimation Device
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Solution Overview
Problem
Existing road surface state estimation methods face challenges in power consumption and memory storage due to the need to store and process large amounts of data for calculating similarity degrees in tire-side devices, leading to increased power usage and communication frequency.
Innovation Solution
A road surface state estimation device with a tire-side device that transmits road surface data only when a change in the road surface state is detected, reducing communication frequency and eliminating the need for support vector storage in the tire-side device, thereby conserving power and memory.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If the tire-side device stores support vectors and calculates similarity degree for road surface state estimation, then the estimation accuracy is improved, but the memory usage and power consumption increase
Solution Approach 1:
The patent extracts the computationally intensive similarity calculation function from the tire-side device and relocates it to the vehicle-body-side system. The tire-side device only performs change detection and transmits results, while the vehicle-body-side system stores support vectors and performs similarity calculations, thereby reducing power consumption in the tire-side device while maintaining estimation accuracy
Solution Approach 2:
The patent segments the road surface state estimation system into two functional parts: (1) tire-side device responsible for vibration detection and change detection, and (2) vehicle-body-side system responsible for support vector storage and similarity calculation. This segmentation allows each component to perform only its specialized function, optimizing the balance between accuracy and power consumption
2Measurement precision
If the tire-side device continuously transmits vibration data for road surface state estimation, then the estimation accuracy is improved, but the communication frequency and power consumption increase
Solution Approach 1:
Instead of continuous transmission, the patent implements periodic action by having the tire-side device transmit data only at specific moments when road surface state changes are detected. This event-triggered transmission approach maintains estimation accuracy by ensuring relevant data is transmitted while significantly reducing communication frequency and power consumption compared to continuous transmission
3Reliability
If the tire-side device performs similarity calculation using kernel function, then the road surface determination robustness is improved, but the computational load and power consumption increase
Solution Approach 1:
The patent extracts the computationally intensive kernel function-based similarity calculation from the tire-side device and relocates it to the vehicle-body-side system. The tire-side device only performs simple change detection based on vibration magnitude, while the vehicle-body-side system handles the robust but computationally demanding similarity calculations, thereby maintaining determination robustness while reducing power consumption in the tire-side device
Data Source
AI summary
A road surface state estimation device includes a tire-side device and a vehicle-body-side system. The tire-side device is disposed in a tire. The vehicle-body-side system is disposed in a vehicle body. The tire-side device outputs a detection signal corresponding to a magnitude of vibration of the tire, generates road surface data based on the detection signal, and performs data communication with the vehicle-body-side system. The vehicle-body-side system acquires information related to the road surface state, performs the data communication with the tire-side device, transmits vehicle-body-side information indicating that the change in the road surface state occurs to the tire-side device when determining that a change in the road surface state occurs based on the information related to the road surface state, and estimates the road surface state based on the road surface data received by the second transceiver.