Automatic Modeling for User-Defined Vehicle Controllers
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Solution Overview
Problem
Current vehicle simulation platforms lack efficient automatic modeling methods for user-defined vehicle controllers, leading to cumbersome configuration processes and errors, which hinder the development of vehicle controllers for different types and functions.
Innovation Solution
An automatic modeling method that involves selecting and configuring component models, generating description files, calculating signal differences, creating port and control policy model templates, and checking input signal configurations to facilitate the building of user-defined vehicle controllers on a graphical user interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of manufacture
If a vehicle controller model is built in the platform with fixed types, then the platform provides pre-configured controller models, but it is hard to meet the control requirements of users for different vehicle types and different functions
Solution Approach 1:
The patent implements dynamic adaptability by enabling users to freely configure controller input/output signals and parameters based on different vehicle types and control requirements. The system transitions from static pre-configured models to dynamic user-definable models, allowing the controller architecture to adapt to various applications through configurable signal mappings and parameter settings.
Solution Approach 2:
The patent segments the vehicle controller into independent configurable modules including input signal configuration, output signal configuration, and control parameters. This modular segmentation allows users to selectively configure only the relevant parts for their specific application, improving both ease of configuration and adaptability to different vehicle types.
2Adaptability or versatility
If the platform provides an open vehicle controller port for importing controllers from other platforms, then users can import external controllers, but the operation process is cumbersome with complex configuration, many error-prone intermediate tasks, and the need for reconfiguration for each modification
Solution Approach 1:
The patent implements self-service automation where the system automatically generates the vehicle controller model based on user-selected components and their connection relationships. The automated model generation eliminates manual configuration tasks, reduces errors, and allows users to modify controllers without reconfiguration overhead, as the system automatically updates the controller model when component connections change.
Solution Approach 2:
The patent performs preliminary configuration by pre-defining component models and their interconnection relationships before controller generation. Users select and connect component models in advance, and the system automatically processes these pre-configured elements to generate the complete vehicle controller model, eliminating the need for complex intermediate configuration steps.
3Adaptability or versatility
If manual configuration of vehicle controller models is performed, then users have full control over controller design, but the operation process is cumbersome with complex configuration and many error-prone intermediate tasks
Solution Approach 1:
The patent replaces manual mechanical configuration processes with automated computational model generation. Instead of manually configuring each controller parameter and connection, the system automatically generates the controller model based on the configured component relationships, significantly reducing configuration time and eliminating manual errors while preserving full design control.
Solution Approach 2:
The patent introduces an automated model generation intermediary that translates user-configured component relationships into a complete vehicle controller model. This intermediary process automatically handles the complex transformation from component selection to controller configuration, reducing both time and errors while maintaining user control over the final controller design.
Data Source
AI summary
An automatic modeling method for a user-defined vehicle controller includes: configuring a component model; generating a description file; summarizing component input and output signals/parameters; and creating the user-defined vehicle controller. A template and data required by the user is provided to automatically build a vehicle controller port model, and a vehicle controller policy model framework to assist the user to quickly and flexibly build the vehicle controller model is provided. The problem of low efficiency in building various user-defined vehicle controller models for different vehicle types is solved. The user develops a vehicle controller policy model under the given model framework, and the model can run directly without additional configuration of port signals. The user can modify the vehicle controller policy model online in real time, which solves the problem that the application configuration of the vehicle controller is complex and cannot be updated online in real time.