Engine Power Output Prediction Using Augmentation Models
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
It is challenging to predict the increase in power output of an engine due to the variability of ambient conditions and the performance deviation of power augmentation systems, making it difficult to assess the potential change in power output caused by activating these systems.
Innovation Solution
A controller is used to estimate potential changes in power output by inputting measured values into a power augmentation model and an engine performance model, which predicts power output based on operating parameters, accounting for specific performance characteristics and efficiencies of the power augmentation system.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If a power augmentation system is activated to increase engine power output, then the power output is improved, but the difficulty of predicting the power increase due to ambient condition variability and performance deviation increases
Solution Approach 1:
The system performs preliminary estimation of potential power output increase before actually activating the power augmentation system. The controller calculates the expected power benefit using measured ambient conditions and engine parameters, allowing operators to predict outcomes in advance and make informed decisions about activation.
Solution Approach 2:
The system uses real-time feedback from sensors measuring ambient conditions (temperature, pressure, humidity) and engine operating parameters to continuously update the power output estimation. This feedback loop allows the controller to adjust predictions based on actual system performance and changing environmental conditions.
2Adaptability or versatility
If ambient conditions vary (temperature, pressure, humidity), then the engine performance and power augmentation system performance change, but the reliability of power output prediction deteriorates
Solution Approach 1:
The system dynamically adapts its predictions based on real-time ambient conditions and engine operating parameters. Rather than using fixed predictions, the controller continuously updates the estimated power output by incorporating current temperature, pressure, and humidity measurements, allowing the system to remain reliable despite varying environmental conditions.
Solution Approach 2:
The system changes its prediction parameters based on ambient conditions. The controller adjusts the estimation calculations by incorporating measured values of temperature, pressure, and humidity, which directly affect engine and power augmentation system performance. This parameter adaptation maintains prediction reliability across different environmental conditions.
Data Source
AI summary
A system includes an engine configured to generate power to drive a load. The system also includes a power augmentation system configured to augment a power output of the engine when the power augmentation system is activated. Additionally, the system includes a controller operatively coupled to the power augmentation system. The controller is configured to estimate a potential change in the power output of the engine caused by activation of the power augmentation system using a power augmentation model and an engine performance model.


