Dynamic Model Drive Train Error Detection
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Solution Overview
Problem
In motor vehicles, especially hybrid, electric, and hydraulic vehicles, unintended torque or power output due to software errors or signal transmission faults can lead to critical safety issues without a direct mechanical connection to the drive unit, causing unwanted movement.
Innovation Solution
A device using a dynamic model that simulates the drive train, comparing input and output variables to detect undesired reactions, allowing for early error detection and immediate safety measures like braking to prevent movement, with redundant control units for enhanced security.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If direct measurement of drive torque is implemented, then detection accuracy of unwanted reactions is improved, but device complexity and cost increase due to additional sensors and measurement systems
Solution Approach 1:
The patent creates a virtual copy of the drivetrain system through a dynamic model that replicates the mechanical behavior, mass moments of inertia, and torque transmission characteristics. This software-based model serves as a virtual twin that can be monitored without physical sensors on the drivetrain components themselves, achieving detection accuracy while avoiding additional hardware complexity
Solution Approach 2:
The patent replaces direct mechanical measurement systems with a computational approach using a dynamic model. Instead of using physical sensors to measure torque and forces directly on the drivetrain, the system uses mathematical models to simulate and predict expected behavior, then compares this with actual sensor data from accessible components like the accelerator pedal and wheel speeds
2Reliability
If mechanical connection between accelerator pedal and drive unit is maintained, then direct torque measurement is possible, but safety risks increase from unintended torque output due to software errors or signal disruptions
Solution Approach 1:
The patent introduces an intermediary monitoring system that sits between the accelerator pedal signal and the drive unit control. The dynamic model acts as a mediator that continuously calculates expected torque based on pedal position and compares it with actual drive unit output, detecting discrepancies that indicate software errors or signal disruptions before they cause unsafe conditions
Solution Approach 2:
The system implements continuous feedback by comparing the dynamic model's predicted torque output with the actual torque being delivered to the wheels. When deviations exceed thresholds, the system triggers safety responses. This closed-loop feedback mechanism enables real-time detection of unintended torque output while maintaining the mechanical connection for normal operation
3Measurement precision
If dynamic model with multiple variables is used, then detection accuracy and early warning capability are improved, but computational load and processing time increase
Solution Approach 1:
The patent segments the drivetrain system into distinct functional modules within the dynamic model, each handling specific calculations for different components (engine, transmission, wheels). This modular approach allows the computational load to be distributed and optimized, calculating only the necessary variables for safety detection rather than simulating every detail of the entire drivetrain system
Data Source
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AI summary
The method involves measuring input and output variables of a motor vehicle and/or a drive unit (1). A dynamic model of a power train of a motor vehicle is determined based on the input and output variables. Difference between the measured output variable and model output variable is determined. Unwanted power train reaction is recognized based on the difference between the measured output variable and the model output variable. Variable disturbance of the power train in the dynamic model is determined. An independent claim is also included for a device for recognition of unwanted power train reactions in a motor vehicle.