Torque Vectoring Yaw Equalization via Steering Feedback
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Solution Overview
Problem
Electrically driven vehicles with torque vectoring drives face issues of inadvertent yaw torque due to production-related variations in electrical parameters, leading to safety concerns and tire wear, which existing solutions address inadequately, especially over the lifetime of the drive.
Innovation Solution
A method and system utilizing data from steering torque and position sensors to automatically equalize yaw torque by adapting target torque demands in a closed loop during straight-ahead travel, accounting for differences in electric machine properties and changes over time, ensuring equal actual torques on both wheels.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If production-related grading of electric machines is implemented to counteract variation, then manufacturing precision is improved, but device complexity and production time increase
Solution Approach 1:
The control unit automatically detects and compensates for torque differences between electric machines during operation, eliminating the need for manual grading and adaptation processes. The system self-adjusts by adapting target torque values based on measured steering torque deviations, making the production process simpler while maintaining precision.
Solution Approach 2:
The system changes the target torque parameter dynamically to compensate for production variations. By adapting target torque values for individual electric machines based on measured deviations, the system compensates for manufacturing differences without requiring physical regrading or complex production processes.
2Manufacturing precision
If software model adaptation is used to equalize drives, then manufacturing precision is improved, but productivity decreases due to time-consuming processes
Solution Approach 1:
The system performs preliminary detection of torque differences during a brief straight-ahead travel phase, then immediately applies compensation. This quick preliminary action eliminates the need for time-consuming manual adaptation processes while maintaining high precision in drive equalization.
Solution Approach 2:
The control unit continuously monitors steering torque and uses this feedback to automatically adjust target torque values for the electric machines. This closed-loop feedback mechanism enables rapid compensation of drive differences without manual intervention, significantly improving production productivity while maintaining precision.
3Device complexity
If torque control without regulation is implemented, then device complexity is reduced, but reliability decreases due to inadvertent yaw torque
Solution Approach 1:
The control unit introduces a simple feedback mechanism that monitors steering torque during straight-ahead travel and automatically adjusts target torque values to eliminate yaw torque. This minimal feedback addition maintains system simplicity while dramatically improving reliability and vehicle safety by preventing inadvertent yaw torque.
Solution Approach 2:
The system replaces complex mechanical grading and adaptation mechanisms with an electronic control solution. By using electronic sensing and control to detect and compensate for torque differences, the system maintains simplicity while improving reliability compared to mechanical equalization methods.
4Manufacturing precision
If grading and adaptation processes are implemented, then production-related variation is reduced, but loss of time and increased costs occur
Solution Approach 1:
The control unit automatically performs detection and compensation of torque differences during vehicle operation, eliminating the need for time-consuming manual grading and adaptation processes in the production line. This self-service approach reduces production time while maintaining manufacturing precision.
Solution Approach 2:
The system uses dynamic parameter adaptation of target torque values to compensate for production variations, replacing static pre-grading processes. This allows for quick electronic adjustment without the time-consuming physical grading and adaptation procedures, significantly reducing production time while maintaining precision.
Data Source
AI summary
A method and a system for automatic yaw torque equalization (AYTE) in an electrically driven vehicle having wheel-individual torque distribution (torque vectoring drive).