AI Power Supply Controller for Efficiency Adaptation

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Solution Overview

Problem

Power supply systems face challenges in achieving optimal efficiency due to manufacturing variations and environmental changes, which affect energy conversion efficiency and other performance metrics.

Innovation Solution

A power supply system incorporating a system performance controller that uses artificial intelligence to monitor and adjust control parameters, such as zero-voltage switching (ZVS) parameters, based on real-time measured conditions to maintain or optimize energy conversion efficiency and other performance metrics.

Engineering Contradictions & Design Principles

VSEngineering Contradiction Analysis

1Loss of energy

If conventional power supply systems are designed to achieve high efficiency, then energy conversion efficiency is improved, but manufacturing variations and environmental changes cause efficiency to degrade over time

Engineering Contradiction:
Improveenergy conversion efficiencyVSAvoidefficiency stability over time
Core Design Contradiction:
Loss of energyVSReliability

Solution Approach 1:

The system continuously measures actual efficiency through metering circuits and feeds this information back to the controller, which then adjusts control parameters to maintain optimal efficiency despite manufacturing variations and environmental changes

Inventive Principle:
Principle #23Feedback

Solution Approach 2:

The controller dynamically modifies control parameters such as switching frequency, duty cycle, and voltage levels based on measured efficiency and environmental conditions, allowing the system to adapt to component aging and temperature variations

Inventive Principle:
Principle #35Parameter changes

2Device complexity

If power supply systems use fixed control parameters, then device complexity is reduced, but performance cannot adapt to environmental changes and component aging

Engineering Contradiction:
Improvecontrol system complexityVSAvoidadaptability to environment and aging
Core Design Contradiction:
Device complexityVSAdaptability or versatility

Solution Approach 1:

The system transitions from static fixed parameters to dynamic adjustable parameters that automatically adapt to changing conditions including temperature, load, and component aging, with the controller modifying parameters in real-time based on sensor feedback

Inventive Principle:
Principle #15Dynamics

Solution Approach 2:

The power supply system performs self-diagnosis and self-optimization by measuring its own efficiency and automatically adjusting control parameters without external intervention, enabling adaptive performance maintenance throughout the system lifecycle

Inventive Principle:
Principle #25Self-service

Data Source

PatentUS11463019B2Power supply system for optimizing a performance metric using artificial intelligence
Publication Date: 2022.10.04 SEMICON COMPONENTS IND LLC
  • US11463019B2 patent drawing
  • US11463019B2 patent drawing
  • US11463019B2 patent drawing

AI summary

According to an aspect, a power supply system includes a power stage, a power supply controller configured to control operations of the power stage, a metering circuit configured to sense measured conditions of the power stage, and a system performance controller configured to be coupled to the power supply controller and the metering circuit. The system performance controller is configured to set or adjust a control parameter for the power stage based on energy conversion efficiency of the power stage. The system performance controller includes an efficiency computation circuit configured to compute the energy conversion efficiency of the power stage based on the measured conditions, and a control manipulation module configured to modify the control parameter until the energy conversion efficiency achieves a threshold condition.