Simplified Engine Model for Real-Time Simulation
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Solution Overview
Problem
Existing engine simulation models struggle to produce accurate real-time results due to their complexity, relying on approximations and calibration data, and fail to effectively model in-cycle events and wave-action effects.
Innovation Solution
A simplified engine model is created using information from a complete engine model, employing simplified mathematical functions and intelligent model reduction techniques to focus on specific engine elements, allowing for accurate real-time simulation without calibration data, and optimizing computational efficiency by manipulating mathematical functions and hardware architecture.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If crank-resolved modelling is used to capture wave-action effects and in-cycle events, then measurement precision is improved, but device complexity increases and productivity decreases
Solution Approach 1:
The engine model is divided into discrete crank angle sections, allowing wave-action effects to be captured at critical points while using simplified calculations for intermediate sections. This segmentation enables the model to focus computational resources on capturing essential wave dynamics without solving full partial differential equations throughout the entire cycle.
Solution Approach 2:
The model dynamically adjusts the level of computational detail based on the crank angle position and operating conditions. During phases where wave-action effects are most significant, the model uses more detailed calculations, while during less critical phases, simplified relationships are applied. This parameter-based adaptation maintains accuracy where needed while reducing overall computational complexity.
2Measurement precision
If crank-resolved modelling is used to model in-cycle events, then measurement precision is improved, but device complexity increases
Solution Approach 1:
The model applies full crank-resolved analysis only to specific crank angle ranges where in-cycle events occur, rather than throughout the entire engine cycle. This partial application of detailed modelling captures essential in-cycle phenomena while avoiding the computational burden of applying the same level of detail everywhere.
Solution Approach 2:
Simplified algebraic relationships serve as intermediaries between the detailed crank-resolved model and the overall system model. These intermediary relationships approximate wave-action effects and in-cycle events without requiring full partial differential equation solutions, reducing computational complexity while maintaining acceptable accuracy.
3Productivity
If mean value modelling is used to achieve real-time results, then productivity is improved, but measurement precision worsens due to approximations and lack of wave-action effects
Solution Approach 1:
The model merges mean value modelling approaches with selected crank-resolved elements. It combines the speed advantages of mean value models with targeted wave-action effect calculations at critical crank angles, creating a hybrid approach that achieves both real-time performance and acceptable wave-effect accuracy.
Data Source
AI summary
A method of creating a simplified computer implementable engine model includes obtaining a complete computer implementable engine model and selecting, from the complete engine model, elements defining the simplified engine model. The method further includes obtaining from a library of rules at least one computer implementable model creation rule corresponding to the selected elements and using that at least one rule to create the simplified computer implementable engine model.