Vehicle Model Simulation Performance Optimization via Real-Time Kernel
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Solution Overview
Problem
Existing vehicle model simulation technologies face challenges in achieving high performance optimization due to limitations in design frameworks and programming languages, making it difficult to enhance simulation performance beyond a certain level.
Innovation Solution
A vehicle model simulation performance optimization method is introduced, which involves creating a real-time kernel program for executing vehicle model real-time simulation tasks and enabling inter-process communication with a host software through memory sharing to read and write simulation signals, automatically control simulation commands, and record feedback data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If software optimization methods (multi-threading, lookup tables, cache) are used to improve program performance, then simulation performance is improved to a certain extent, but further performance optimization becomes difficult due to design framework and language limitations
Solution Approach 1:
The patent replaces software-based optimization mechanisms (multi-threading, lookup tables, cache management) with a hardware-based real-time operating system kernel. This substitution eliminates the limitations of software optimization by implementing performance-critical functions at the hardware/OS kernel level, where direct memory access and interrupt-driven operations provide deterministic performance without the overhead of software abstraction layers.
2Productivity
If more software optimization techniques are applied to achieve higher performance levels, then the number of optimization methods increases, but the actual performance gain diminishes due to framework and language constraints
Solution Approach 1:
The patent segments the simulation system into distinct functional modules (signal acquisition, computation, output) that can be independently optimized and managed by the real-time OS kernel. Each module operates with dedicated memory spaces and can be triggered by specific interrupts or events, allowing fine-grained performance optimization without being constrained by monolithic software framework limitations.
Solution Approach 2:
The real-time OS kernel acts as an intermediary layer between the simulation software and the hardware resources. It provides deterministic access to memory and I/O operations through interrupt-driven mechanisms, eliminating the performance bottlenecks caused by high-level language abstractions and framework overhead while maintaining software portability.
3Productivity
If traditional software optimization methods are used, then implementation is straightforward with existing tools, but the achievable performance level is limited by design framework constraints
Solution Approach 1:
The patent implements periodic interrupt-driven execution cycles in the real-time OS kernel, where simulation tasks are triggered at precise, predetermined intervals. This periodic action ensures deterministic timing and predictable performance by eliminating variable execution times associated with software optimization techniques, providing consistent real-time performance regardless of system load.
Data Source
AI summary
A vehicle model simulation performance optimization method includes: creating a real-time kernel program for executing a vehicle model real-time simulation task; enabling the real-time kernel program to perform inter-process communication with a host software through memory sharing to read and write a vehicle simulation signal through the host software, automatically control the real-time kernel program to execute a simulation command through a code program, and record simulation data fed back by the real-time kernel program.