Torque Vectoring Control Using Driving Aggressiveness Index
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing torque vectoring technologies face challenges in preserving required driving torque and lack clarity in trigger conditions, struggling to change lateral vehicle characteristics continuously in response to driver inputs, leading to inconsistent driving experiences.
Innovation Solution
An apparatus and method that utilize processors to calculate a driving aggressiveness index through exponential weighted moving average operations, generating a control moment based on steering angle, yaw rate, longitudinal and lateral acceleration, and vehicle velocity, which adjusts torque distribution between wheels to enhance vehicle stability and responsiveness.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If torque vectoring control is implemented using typical methods, then vehicle stability is improved, but required driving torque cannot be preserved and trigger conditions are unclear
Solution Approach 1:
The system dynamically adjusts the driving aggressiveness index in real-time based on driving conditions, allowing the torque vectoring control to adaptively preserve required driving torque while maintaining vehicle stability. The index is continuously updated based on vehicle state parameters rather than using fixed thresholds.
Solution Approach 2:
The patent introduces a driving aggressiveness index as a new control parameter that changes based on driving conditions. This parameter enables clear trigger conditions for torque vectoring control by quantifying driver intent and vehicle state, resolving the ambiguity in when to activate torque vectoring while preserving driving torque.
2Adaptability or versatility
If discrete mode changes are applied to chassis system, then driver characteristics are partially reflected, but continuous characteristic changes are lost resulting in inconsistent driving experience
Solution Approach 1:
The system transitions from discrete mode changes to continuous dynamic adjustment of the driving aggressiveness index. This allows smooth, continuous reflection of driver characteristics without abrupt transitions, providing consistent and natural driving experience across different driving conditions.
Solution Approach 2:
The driving aggressiveness index is continuously updated and applied in real-time based on current driving conditions, ensuring continuous adaptation to driver characteristics rather than relying on discrete mode switches. This maintains consistent driving experience throughout the driving cycle.
Data Source
AI summary
An apparatus with torque vectoring control of a vehicle with an independent driving motor includes: one or more processors configured to: measure driving information including a steering angle, a yaw rate, a longitudinal velocity, lateral acceleration and longitudinal acceleration of the vehicle; calculate a driving aggressiveness (DA) index representing driving aggressiveness of a driver through an exponential weighted moving average (EWMA) operation using the driving information; calculate a target yaw rate based on the driving information and the DA index; and generate a control moment based on the driving information, the DA index and the target yaw rate, wherein, for the calculating of the DA index, the one or more processor are configured to calculate the DA index to have a higher value than a case of generating only longitudinal acceleration or a case of generating only lateral acceleration, in response to the longitudinal acceleration and the lateral acceleration being generated at a same time.