Power Subsystem Dynamic Optimization via Real-Time Loss Modeling
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Solution Overview
Problem
Conventional power subsystems are statically optimized and lack precision in measuring power loss, leading to inefficiencies as they operate across varying system activity states, with existing methods providing imprecise calculations due to large input and output power measurements.
Innovation Solution
A power subsystem architecture that includes a power bus with primary and secondary converters, a controller unit, and measurement devices to dynamically optimize design set points by characterizing power loss models, using interpolation and extrapolation methods to estimate instantaneous power loss and adjust operating parameters for maximum efficiency, while considering constraints and load requirements.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Use of energy by moving object
If conventional power subsystems operate statically with fixed intermediate voltage and temperature control points, then the system is simple to operate, but the power efficiency deteriorates as system activity varies
Solution Approach 1:
The patent implements dynamic optimization by continuously monitoring system activity and adjusting the intermediate voltage and temperature control points in real-time. The power subsystem transitions from static fixed-point operation to dynamic adaptive operation, where control parameters are continuously optimized based on current system conditions, thereby maintaining high power efficiency across varying activity states.
Solution Approach 2:
The patent changes the operating parameters (intermediate voltage, temperature control points) dynamically based on system activity. By adjusting these parameters in response to varying loads and conditions, the system optimizes power efficiency for each operating state rather than being constrained to a single fixed configuration.
2Measurement precision
If direct measurement of power loss is performed by taking the difference of input and output power, then the measurement approach is straightforward, but the measurement precision deteriorates due to large combined errors
Solution Approach 1:
The patent extracts the power loss measurement problem from the indirect calculation method (difference of large quantities) and implements direct sensing at the device level. By placing measurement devices directly at power conversion stages, the system measures power loss locally rather than calculating it as a difference, thereby achieving high precision without the error propagation inherent in subtractive measurement.
Solution Approach 2:
The patent introduces intermediary measurement devices that directly sense power loss at each conversion stage. These intermediary sensors act as mediators between the power conversion process and the control system, providing accurate real-time power loss data without requiring complex calculations or suffering from the limitations of indirect measurement methods.
Data Source
AI summary
A power subsystem is actively optimized to improve total subsystem efficiency in a way that is responsive to changes in load requirements, power supply variations, and subsystem temperature variations. Detailed, multidimensional power loss models are developed for constituent devices which are then combined into a power subsystem containing a controller and circuity for measuring device operating parameters such as input and output voltage, output current, and temperature. Operating parameters are continually monitored, and set points are correspondingly changed based on the detailed power loss models to achieve maximum overall efficiency for the instantaneous operating state of the system.


