Power Adapter Dynamic Charging Prioritization
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Solution Overview
Problem
Existing power adapter devices struggle to efficiently manage power delivery to multiple portable information handling systems, prioritizing charging based on connection order rather than actual power needs, leading to inefficient charging when one device is fully charged while another is discharged.
Innovation Solution
A power adapter device with a controller that learns charging characteristics of connected systems, prioritizing power delivery based on device type, state of charge, connection duration, and other factors to optimize power distribution by adjusting existing power contracts and establishing new ones as needed.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If power adapter devices prioritize charging based on connection order, then the charging management is simple, but charging efficiency deteriorates when one device is fully charged while another needs power
Solution Approach 1:
The power adapter device automatically monitors charging states of multiple devices and dynamically adjusts power distribution without user intervention. The controller learns charging characteristics of each device type and autonomously determines which device should receive power based on real-time battery levels and historical data, enabling the system to serve itself rather than requiring manual management.
Solution Approach 2:
The system continuously monitors battery charge levels, charging rates, and device states, using this feedback to dynamically adjust power allocation. The controller receives status information from connected devices, processes this data against learned characteristics, and modifies power delivery accordingly, creating a closed-loop control system that optimizes charging efficiency based on actual conditions.
2Loss of time
If power adapter devices allocate power equally to multiple devices, then power distribution is fair, but charging time increases for devices that need power urgently
Solution Approach 1:
The power adapter implements dynamic power allocation that continuously adapts to changing device needs. Instead of static equal distribution, the system adjusts power delivery in real-time based on monitored battery levels, device priority, and charging characteristics, allowing urgent charging needs to be met while maintaining flexible fairness across multiple devices.
Solution Approach 2:
The system changes power delivery parameters (voltage, current, power level) based on device-specific characteristics and real-time conditions. By learning optimal charging parameters for different device types and adjusting these parameters dynamically, the system reduces charging time for urgent devices while maintaining appropriate power distribution across all connected devices.
3Power
If power adapter devices establish new power delivery contracts for each device request, then power delivery is precise, but power margin optimization deteriorates when multiple devices are connected
Solution Approach 1:
The power adapter pre-negotiates and establishes power delivery contracts with devices based on their historical charging characteristics and typical power needs. By preparing power allocation strategies in advance and learning device requirements over time, the system can quickly respond to new device connections while optimizing overall power margin utilization across multiple devices without requiring complex real-time renegotiation.
Data Source
AI summary
A power adapter device may use a method for efficient charging of multiple portable information handling systems based on learned charging characteristics. In particular, when electrical power is delivered to at least one of the portable information handling systems, the power adapter device may prioritize electrical power delivery to another portable information handling system ahead of the portable information handling systems based on the learned charging characteristics such that charging is efficient.


