Lateral Rollover Risk Warning Device Using Sensor-Based Detection
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Solution Overview
Problem
Existing lateral rollover risk warning systems for vehicles require the input of road curvature radius in advance, which is impractical for drivers, especially during turns or lane changes, as it exceeds current technological prediction capabilities.
Innovation Solution
A lateral rollover risk warning device installed on vehicles with spring structures, equipped with sensors for vertical, rotational, and lateral force detection, calculates real-time indices to assess rollover risk without needing pre-inputted road curvature data, using sensors like acceleration and angular velocity sensors to determine critical angles and forces.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the radius of a curved path is input in advance to calculate lateral rollover limit speed, then the rollover risk can be assessed, but it becomes impractical for drivers as it exceeds current technological prediction capabilities
Solution Approach 1:
The patent replaces the conventional mechanical approach of inputting road curvature radius with a sensor-based detection system. Acceleration sensors detect lateral acceleration forces acting on the vehicle, and angular velocity sensors detect rotational motion, allowing the system to calculate actual rollover risk based on physical forces rather than requiring advance knowledge of road geometry. This substitution enables real-time assessment without driver input.
Solution Approach 2:
The system performs self-detection of rollover risk by automatically measuring lateral acceleration and angular velocity through onboard sensors. The calculation unit autonomously processes sensor data to determine whether the vehicle is approaching rollover conditions, eliminating the need for driver intervention or external road information input.
2Adaptability or versatility
If conventional lateral rollover limit speed expression is used requiring radius input, then calculation is straightforward, but it cannot adapt to unexpected maneuvers or changing road conditions
Solution Approach 1:
The system transitions from a static calculation method requiring fixed road geometry parameters to a dynamic detection method that continuously measures actual physical forces. The acceleration sensors and angular velocity sensors capture real-time lateral forces and rotational movements, allowing the system to adapt to any driving condition including unexpected maneuvers, lane changes, and varying road surfaces without requiring pre-programmed road 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
Enables real-time reporting of lateral rollover risks to drivers without requiring input of road curvature, enhancing safety by preventing rollovers during unexpected maneuvers or changing road conditions.
Implementation Method 1
a vertical direction physical amount detection means for detecting an external force applied in the vertical direction of the vehicle body
Implementation Method 2
a rotational direction physical amount detection means for detecting a rotation around the vehicle axis of the vehicle body
Implementation Method 3
a right-left direction physical amount detection means for detecting an external force applied in the right-left direction of the vehicle body
Data Source
AI summary
A lateral rollover risk warning device can report vehicle rollover risk in real time during traveling with no need for inputting radius of a curved path in advance.It includes a first acceleration sensor detecting an external force applied in up-down direction of a vehicle body; an angular velocity sensor detecting a rotation around vehicle axis of vehicle body; and a second acceleration sensor detecting an external force in right-left direction of vehicle body, with an arithmetic part using detection results given by first acceleration sensor and angular velocity sensor to calculate a limit index of vehicle being led to a rollover, and using detection result given by second acceleration sensor to calculate a comparative index to be compared with limit index in real time; and a reporting part using limit index and comparative index to report lateral rollover risk warning information telling the rollover risk.