Power Converter Load Distribution for Efficiency Optimization
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Solution Overview
Problem
Power supply systems face challenges in achieving performance targets due to manufacturing variations and environmental effects, such as thermal changes and component wear, which affect energy conversion efficiency and other performance metrics.
Innovation Solution
A power supply system incorporating a system performance controller that monitors energy conversion efficiency and adjusts control parameters using an AI algorithm to optimize efficiency, including zero-voltage switching (ZVS) control parameters, phase transition parameters, and skip cycle parameters, to maintain or achieve threshold conditions despite environmental changes and component aging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Power
If multiple power converters are used to handle high power loads, then the power supply capacity is improved, but the overall energy conversion efficiency deteriorates due to the cumulative effect of individual converter inefficiencies
Solution Approach 1:
The system dynamically changes operating parameters (load distribution ratios) of multiple power converters based on real-time efficiency monitoring. The controller adjusts the parameter α that determines how much load each converter handles, optimizing the overall efficiency while maintaining the required total power output.
Solution Approach 2:
The system implements a feedback mechanism where the efficiency of each power converter is continuously monitored and fed back to the controller. Based on this feedback, the controller dynamically redistributes the load among converters to maximize overall system efficiency while maintaining stable power delivery.
2Loss of energy
If control parameters are adjusted to optimize energy conversion efficiency, then the efficiency is improved, but the system stability and performance consistency deteriorate due to manufacturing variations and environmental effects
Solution Approach 1:
The system performs preliminary characterization of each power converter's efficiency characteristics during manufacturing or initial operation. This pre-acquired data is stored and used to predict optimal operating points, allowing the system to proactively adjust parameters before efficiency degradation occurs due to environmental changes or aging.
Solution Approach 2:
The control system dynamically adapts to changing conditions by continuously monitoring converter efficiency and adjusting load distribution in real-time. This dynamic adjustment compensates for manufacturing variations and environmental effects, maintaining both high efficiency and performance consistency throughout the system's operational life.
Data Source
AI summary
According to an aspect, a power supply system includes a plurality of power converters configured to deliver a system load current to a load, where the system load current is a combination of individual load currents provided by the plurality of power converters, and a system performance controller configured to detect a value of the system load current. The system performance controller is configured to determine, using power loss information, values for the individual load currents such that a composite efficiency achieves a threshold condition. The system performance controller is configured to generate control signals to operate the plurality of power converters at the determined values.