Adaptive Rollover Detection with Severity Segmentation
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Solution Overview
Problem
Existing rollover detection systems cannot distinguish between rollover and almost-rollover scenarios effectively, leading to unnecessary activation of irreversible safety devices and increased costs, as they rely on binary decisions based on physical values from sensors without adaptive differentiation of severity levels.
Innovation Solution
The system introduces an adaptive logical system that differentiates between multiple stages of rollover severity using sensor data from angular rate and angle of rotation, activating reversible safety devices for lower severity scenarios and irreversible devices only when higher severity is confirmed, thereby reducing unnecessary activations and costs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If a binary rollover detection algorithm is used to ensure occupant safety, then safety is improved, but irreversible safety devices are unnecessarily activated increasing costs
Solution Approach 1:
The invention segments the rollover detection into multiple severity levels (first stage for lower severity, second stage for higher severity) rather than using a single binary detection threshold. This allows the system to differentiate between almost-rollover scenarios and true rollover events, activating appropriate safety devices based on the detected severity level.
Solution Approach 2:
The invention changes the detection parameter from a single binary threshold to multiple severity thresholds (first threshold for stage 1, second threshold for stage 2). By introducing intermediate threshold values between the first and second thresholds, the system can adaptively determine rollover severity and activate corresponding safety devices, reducing unnecessary activations of irreversible safety devices.
2Reliability
If irreversible safety devices are activated for all rollover scenarios to ensure safety, then occupant safety is improved, but replacement costs increase
Solution Approach 1:
The invention segments safety device activation into two categories: reversible safety devices for first-stage (lower severity) rollover scenarios and irreversible safety devices for second-stage (higher severity) scenarios. This segmentation ensures that costly irreversible devices are only activated when truly necessary, while less severe scenarios use reversible devices that can be reset.
Solution Approach 2:
The invention introduces a second threshold value higher than the first threshold to differentiate between severity levels. When the rollover parameter exceeds the first but remains below the second threshold, only reversible safety devices are activated. When it exceeds the second threshold, irreversible safety devices are activated, optimizing the balance between safety and cost.
3Device complexity
If a single threshold algorithm is used for rollover detection, then the system is simple, but it cannot distinguish between rollover and almost-rollover scenarios
Solution Approach 1:
The invention divides the detection algorithm into two stages with two different threshold values. The first stage uses a lower threshold to detect almost-rollover scenarios, while the second stage uses a higher threshold to confirm true rollover events. This segmentation maintains relative algorithmic simplicity while significantly improving the precision of scenario distinction.
Solution Approach 2:
The invention introduces multiple threshold parameters (first threshold and second threshold) instead of a single threshold. This parameter change enables the algorithm to distinguish between different rollover severity levels, improving measurement precision while keeping the algorithm structure relatively simple through straightforward threshold comparisons.
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 ensures optimal rollover detection and occupant safety while minimizing the activation of costly irreversible safety devices by adaptively managing safety device activation based on varying severity levels, reducing replacement costs and improving decision accuracy in ambiguous scenarios.
Implementation Method 1
at least one sensor for the detection of the angle of rotation of the vehicle and an angular rate sensor
Implementation Method 2
at least one sensor for the detection of the angle of rotation of the vehicle
Data Source
AI summary
A rollover detection system for a vehicle comprises at least one sensor for the detection of the angle of rotation of the vehicle and/or at least one angular rate sensor, an electronic control device connected to the sensors as well as at least one safety device which can be activated via the control device in the event of a rollover scenario detected with reference to the sensor data. At least one irreversible safety device and at least one reversible safety device are provided. The control device distinguishes between at least one stage of a lower degree of severity and at least one stage of a higher degree of severity of the rollover scenario in the detection of a respective rollover scenario with reference to the sensor data in order to activate at least one reversible safety device in the case of a lower degree of severity and to activate at least one irreversible safety device in the case of a higher degree of severity.