Vehicle Wheel Slip Control with Lookup-Table Actuation
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Solution Overview
Problem
Conventional traction control systems have high calculation complexity, leading to delayed responses in managing wheel slip, requiring extensive optimization and expertise, and are not easily adaptable to different vehicle variants.
Innovation Solution
A method using a matrix-based approach to read parameters for actuating brake or drive systems based on wheel slip states, allowing for quick responses and optimization through sensor data and learning algorithms, reducing the need for complex physical modeling.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If conventional traction control systems use complex physical modeling and optimization processes, then control accuracy can be improved, but calculation complexity increases and response time is delayed
Solution Approach 1:
The patent segments the continuous control problem into discrete regions by dividing the slip ratio range into multiple regions (e.g., first region, second region, third region) with different characteristics. Each region has pre-determined control parameters stored in lookup tables, allowing the system to select appropriate control actions based on the current slip state without performing complex real-time calculations across the entire operating range.
Solution Approach 2:
The patent performs control parameter optimization and calculation in advance during system design and testing phases. The optimized control parameters for different slip conditions are pre-calculated and stored in lookup tables (matrix structures). During actual operation, the controller simply retrieves pre-computed parameters based on the current slip state, eliminating the need for complex real-time optimization calculations.
2Reliability
If conventional traction control systems perform complex optimization processes, then control performance can be improved, but reaction time is delayed
Solution Approach 1:
The patent performs control parameter optimization and calculation in advance during system design and testing phases. The optimized control parameters for different slip conditions are pre-calculated and stored in lookup tables (matrix structures). During actual operation, the controller simply retrieves pre-computed parameters based on the current slip state, eliminating the need for complex real-time optimization calculations.
Solution Approach 2:
The patent replaces complex real-time mechanical/mathematical optimization calculations with a data retrieval operation from pre-computed lookup tables. The controller substitutes intricate calculation algorithms with simple table lookups based on the current slip state, dramatically reducing computational time while maintaining control effectiveness.
3Measurement precision
If traction control systems use extensive physical modeling and optimization, then control accuracy is improved, but system adaptability to different vehicle variants decreases
Solution Approach 1:
The patent creates a universal control framework where the same basic control algorithm and lookup table structure can be applied to different vehicle variants. The system determines vehicle-specific parameters (such as wheelbase, gear ratios, motor characteristics) and uses these to select or adjust appropriate lookup tables from a standardized set, rather than requiring custom optimization for each variant. This allows the same controller software to serve multiple vehicle types.
Solution Approach 2:
The patent enables adaptation to different vehicle variants by changing parameters such as the lookup table contents, region boundary definitions, and control gain values rather than modifying the fundamental control algorithm structure. Each vehicle variant can use pre-computed parameters tailored to its specific characteristics while maintaining the same overall control methodology.
4Measurement precision
If conventional systems require extensive optimization by application specialists, then control accuracy is improved, but ease of manufacture and deployment is reduced
Solution Approach 1:
The patent enables the traction control system to automatically determine its own control parameters based on vehicle identification data and pre-stored lookup tables. The system self-configures by selecting appropriate parameters based on the specific vehicle variant without requiring manual optimization by application specialists during assembly or deployment. This self-service capability significantly simplifies manufacturing and deployment processes.
Data Source
AI summary
A method for controlling slip of at least one wheel of a vehicle. In the method, at least one parameter of an action to be performed is read out from a matrix using a slip state of the wheel if the slip state is outside a target slip region of the matrix, wherein, for reading this out, a data field of the matrix associated with the slip state is determined and the at least one parameter is read out from the data field, wherein, for performing the action, at least one actuator of the vehicle is actuated using the parameter.