Adaptive Power Supply Control Using FFT for Changing Load Modes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Conventional power systems in consumer electronics provide excessive power to support the highest requirements, leading to inefficiencies and undesirable effects such as sub-optimal power consumption, thermal throttling, and negative impacts on user experience, even when higher power features are inactive.
Innovation Solution
Implementing frequency domain analysis, specifically using FFT and THD techniques, to discriminate between different operating conditions and adaptively adjust voltage and current to optimize power consumption based on detected conditions, including idle, charging, and audio modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the power system provides sufficient power to support the highest power requirements, then the system can handle peak power demands, but power consumption increases and efficiency decreases when higher power features are inactive
Solution Approach 1:
The power system dynamically adjusts voltage and current output based on real-time operating conditions detected through frequency domain analysis. The system transitions from static power provisioning to adaptive power delivery, matching supply to actual demand while maintaining peak capability when needed.
Solution Approach 2:
The system changes power delivery parameters (voltage and current levels) based on detected operating modes. By analyzing spectral content of power signals, the system identifies different operational states and adjusts power parameters accordingly, reducing power consumption when full power is not required.
2Power
If the power system provides fixed high power output, then peak power demands are met, but thermal management performance deteriorates due to excessive heat generation
Solution Approach 1:
The power system dynamically adjusts output levels based on actual load requirements detected through frequency domain analysis. By transitioning from fixed high power output to adaptive power delivery, the system reduces unnecessary heat generation while maintaining peak power capability when operating conditions require it.
3Loss of energy
If frequency domain analysis is implemented to detect operating conditions, then power consumption is optimized, but system complexity increases
Solution Approach 1:
The system replaces complex mechanical or manual power management approaches with frequency domain analysis techniques. By using spectral content analysis of power signals, the system automatically detects operating conditions and adjusts power delivery without requiring complex sensors or manual intervention.
4Use of energy by moving object
If adaptive voltage control is implemented based on operating conditions, then power efficiency improves, but control system complexity increases
Solution Approach 1:
The system implements feedback control by continuously analyzing the spectral content of power signals and adjusting voltage output based on detected operating conditions. This closed-loop approach optimizes power efficiency while using relatively simple control logic based on frequency domain characteristics.
Data Source
AI summary
Systems and methods are described for applying one or more frequency domain analyses to AC components to automatically discriminate between different operating conditions of the power architecture. Embodiments can then adaptively adjust the voltage (e.g., and current) to reduce or eliminate extra power consumption based on the detected operating condition. In some embodiments, the frequency domain analyses are based on fast Fourier transform (FFT) techniques and/or total harmonic distortion (THD) techniques. Embodiments can be applied to internal power modules and/or to external power adapters.