Component Driver Performance Model for Aircraft Power Management
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Solution Overview
Problem
The challenge in managing power in a closed electrical system, such as an aircraft, lies in reducing peak power demand to minimize weight and operational costs, as existing approaches primarily focus on short-term power quality regulation rather than long-term energy optimization.
Innovation Solution
A power management system that includes a component driver for an energy-management system, which receives current status information, constructs performance models, and transmits them to an optimization and control module to plan future energy operations, utilizing demand response, alternative power sources, and energy storage to reduce peak power needs.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Weight of moving object
If peak power demand is reduced to minimize weight, then weight and operational costs decrease, but power quality regulation becomes more difficult
Solution Approach 1:
The system performs preliminary actions by pre-charging energy storage devices before peak power events occur. The energy management system predicts upcoming peak demand periods and stores energy in advance, allowing the system to meet peak demands without increasing generator size or wiring capacity, thus reducing weight while maintaining power quality.
Solution Approach 2:
Energy storage devices serve as intermediaries between power sources and loads. The system introduces energy storage as a buffering layer that decouples the timing of power generation and power consumption, enabling smooth power delivery during peak events without requiring oversized generators or complex regulation mechanisms.
2Stability of the object's composition
If short-term power quality regulation is prioritized, then power stability is maintained, but long-term energy optimization is insufficient
Solution Approach 1:
The system implements continuous energy optimization by constantly monitoring system state, predicting future power events, and continuously charging/discharging energy storage devices. This continuous operation ensures both short-term power stability and long-term energy optimization, as the system never stops managing energy flow but operates continuously at optimal efficiency.
Solution Approach 2:
The energy management system employs feedback mechanisms by continuously monitoring actual power consumption and generation, comparing it with predicted values, and adjusting energy storage operations accordingly. This closed-loop control ensures power stability is maintained while continuously improving energy optimization efficiency over time.
3Adaptability or versatility
If energy storage devices are added to reduce peak power demand, then weight increases, but power management flexibility improves
Solution Approach 1:
The system applies partial action by deploying energy storage devices only during specific peak power events rather than continuously operating at maximum capacity. This allows the system to gain the flexibility benefits of energy storage for critical events while minimizing the weight penalty, as the storage devices can be smaller and less robust than would be required for continuous full-power operation.
Data Source
AI summary
One embodiment of the present invention provides managing component driver for an energy-management system that manages energy within a predominantly closed power system. The component driver includes a receiving mechanism configured to receive current status information for a component associated with the component driver, a model-construction mechanism configured to construct a performance model for the component, and a transmitting mechanism configured to transmit the performance model to an optimization and control module.