Tire-Mounted Sensor Road Surface Estimation via Feedback Correction

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Solution Overview

Problem

Conventional road surface condition estimation devices struggle to accurately estimate the road surface μ value and type, such as dry, wet, or frozen, as they rely solely on vibration detection from tire-mounted sensors, which limits accuracy and cannot differentiate conditions for each wheel.

Innovation Solution

A road surface condition estimation device comprising a tire-mounted sensor with a vibration detection unit, signal processing unit, transmitter, and receiver, which communicates with a vehicle body side system to correct high-frequency component levels based on additional information like weather and temperature, enabling more accurate estimation of road surface conditions for each wheel.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Device complexity

If road surface condition is estimated by only transmitting vibration detection result from tire-mounted sensor to vehicle body side system, then device complexity is reduced, but measurement precision deteriorates

Engineering Contradiction:
Improvesystem complexityVSAvoidroad surface μ value estimation accuracy
Core Design Contradiction:
Device complexityVSMeasurement precision

Solution Approach 1:

The vehicle body side system transmits correction information (weather data, temperature data, road surface type) back to the tire-mounted sensor. The signal processing unit uses this feedback to correct the high frequency component levels, thereby improving the accuracy of road surface condition estimation without significantly increasing system complexity.

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The signal processing unit changes the parameter of high frequency component levels by applying correction values based on received information. This parameter adjustment allows the system to adapt to different environmental conditions (weather, temperature, road type) and improve measurement precision dynamically.

Inventive Principle:
Principle #35Parameter changes

2Area of stationary object

If road surface μ value is estimated based on wheel speeds of four wheels, then measurement coverage is improved, but measurement precision deteriorates because cannot estimate for each wheel

Engineering Contradiction:
Improvemeasurement coverageVSAvoidper-wheel estimation accuracy
Core Design Contradiction:
Area of stationary objectVSMeasurement precision

Solution Approach 1:

The system divides the measurement function into independent tire-mounted sensors, with each sensor estimating road surface conditions for its specific wheel. This segmentation enables per-wheel estimation while maintaining comprehensive coverage across all four wheels, resolving the contradiction between coverage and precision.

Inventive Principle:
Principle #1Segmentation

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 solution allows for precise estimation of road surface conditions, including μ value and type, for each wheel, enhancing vehicle control systems like ABS and improving safety by providing accurate data for vehicle motion control and driver notification.

Implementation Method 1

a vibration detection unit for outputting a detection signal corresponding to a magnitude of vibrations of the tire

Methodology Applied
Scientific EffectVibration detection: Vibration

Data Source

PatentUS11565704B2Road surface condition estimation device
Publication Date: 2023.01.31 DENSO CORP
  • US11565704B2 patent drawing
  • US11565704B2 patent drawing
  • US11565704B2 patent drawing

AI summary

When information related to road surface conditions is conveyed from a vehicle body side system to a tire-mounted sensor and the tire-mounted sensor determines the road surface condition, an integrated voltage value is corrected based on the information related to the road surface condition. It is thus possible to estimate the road surface condition more accurately. Furthermore, in as much as the road surface condition is estimated at each tire-mounted sensor, the road surface condition can be estimated for each wheel.