Online Engine Calibration Using Simulation Learning
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Solution Overview
Problem
Conventional internal combustion engines require time-consuming and costly mechanical adjustments to tune valve operation, which is inefficient for dynamic calibration and performance maintenance.
Innovation Solution
An online calibration system using simulation learning to generate calibration data for electronically controllable engine components, allowing for real-time adjustments to operating characteristics without disrupting engine operation, using a combination of simulator models and sensor data to optimize performance based on target objectives.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Manufacturing precision
If mechanical adjustments are used to tune valve operation, then manufacturing precision can be improved, but loss of time and productivity deteriorate due to time-consuming adjustments
Solution Approach 1:
The patent replaces mechanical adjustment systems with an electronic control system that uses a trained valve control model to determine valve operating characteristics. The system uses processors and memory to store and execute calibration data, substituting manual mechanical tuning with automated electronic control that can be updated without physical disassembly or adjustment of valve components.
Solution Approach 2:
The system enables dynamic changing of valve operating parameters (such as lift, duration, timing) by updating calibration data in memory rather than making physical mechanical adjustments. This allows rapid parameter modification through software updates while maintaining precise control over valve operation characteristics.
2Manufacturing precision
If mechanical adjustments are used to tune valve operation, then manufacturing precision can be improved, but device complexity and ease of manufacture worsen due to complex mechanical adjustment mechanisms
Solution Approach 1:
The patent replaces complex mechanical adjustment mechanisms with a simpler electronic control architecture consisting of processors, memory storage, and software models. This electronic system reduces mechanical complexity while enabling precise control through digital calibration data and trained valve control models.
Solution Approach 2:
The system uses a trained valve control model stored in memory that contains calibrated operating characteristics. This digital copy of optimal valve behavior can be replicated and updated without physical changes to the valve hardware, simplifying the overall system while maintaining manufacturing precision.
3Reliability
If conventional calibration methods are used, then reliability can be maintained, but productivity deteriorates due to inability to perform real-time adjustments
Solution Approach 1:
The patent implements dynamic calibration capabilities where valve operating characteristics can be adjusted in real-time based on current engine conditions. The system transitions from static mechanical settings to dynamic electronic control that can adapt valve timing and lift continuously, improving both reliability through consistent performance and productivity through rapid recalibration capability.
Solution Approach 2:
The system incorporates feedback mechanisms where sensor data from the engine is processed by the valve control model to determine optimal valve operating characteristics. This closed-loop feedback enables real-time adjustments that maintain reliability while improving calibration efficiency through automated control rather than manual intervention.
Data Source
AI summary
Calibration of online combustion engines using simulations, including: simulating, on a processor coupled to an engine and based on operation data generated during operation of the engine, operation of the engine; training, based on simulating the operation of the engine, one or more trained models; and generating, based at least on the one or more trained models, calibration data corresponding to one or more electronically controllable components of the engine.