Dynamic Power Source Selection for Thermal Stability
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Solution Overview
Problem
Mobile computing devices face challenges in efficient power management and battery life extension due to ineffective selection of power resources for charging and discharging energy storage devices, leading to user dissatisfaction and reduced device performance.
Innovation Solution
A dynamic system that identifies and selects the most energy-efficient power resource for charging energy storage devices based on thermal activity, predicts user behavior, and manages thermal stability by configuring the energy storage device system to charge or discharge energy storage devices according to various criteria, including thermal zones and hardware proximity.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If power management is implemented to extend battery life, then battery life is improved, but device performance may deteriorate
Solution Approach 1:
The power management system dynamically adjusts charging and discharging operations based on real-time thermal conditions, battery charge levels, and user behavior predictions. The system transitions between different power management modes (aggressive charging, conservative charging, discharge suppression) to balance battery life extension with device performance requirements.
Solution Approach 2:
The system performs preliminary thermal conditioning before charging operations and predicts user behavior patterns in advance. By pre-cooling the device or preparing power management strategies based on predicted usage, the system can extend battery life without compromising actual device performance when needed.
2Speed
If charging operations are performed without thermal management, then charging speed is improved, but thermal stability deteriorates
Solution Approach 1:
The system implements periodic thermal monitoring and conditioning during charging operations. By alternating between charging phases and thermal management phases, the system maintains acceptable charging speed while preventing thermal accumulation that would compromise thermal stability.
Solution Approach 2:
The system performs preliminary thermal conditioning before initiating charging operations. By pre-cooling the device or preparing thermal management strategies in advance, the system can achieve faster charging speeds without compromising thermal stability during the charging process.
3Adaptability or versatility
If multiple power resources are available, then power management flexibility is improved, but resource selection complexity increases
Solution Approach 1:
The system implements feedback mechanisms that continuously monitor thermal conditions, battery charge levels, and power resource availability. Based on this feedback, the system automatically selects the most appropriate power resource and charging strategy, managing complexity through intelligent decision-making rather than user configuration.
Solution Approach 2:
The power management system autonomously manages multiple power resources without requiring user intervention. The system self-evaluates available resources, predicts user needs, and automatically configures charging and discharging operations, thereby providing flexibility while hiding complexity from the user.
4Use of energy by moving object
If energy storage devices are charged without prediction of user behavior, then charging efficiency is improved, but battery life extension deteriorates
Solution Approach 1:
The system performs preliminary analysis of user behavior patterns and predicts future usage requirements. By anticipating when and how the device will be used, the system can optimize charging operations in advance to extend battery life while maintaining charging efficiency through intelligent timing and resource selection.
Solution Approach 2:
The system dynamically adjusts charging strategies based on real-time user behavior observations and predictions. By adapting charging operations to actual usage patterns rather than following fixed efficiency-maximizing protocols, the system extends battery life while maintaining acceptable charging efficiency.
Data Source
AI summary
A computing device has an energy storage device system with multiple energy storage devices. Various different criteria are used to determine which one or more of the multiple energy storage devices to charge or discharge at any given time to provide power to the computing device. The criteria can include characteristics of the energy storage devices as well as hardware and/or physical characteristics of the computing device, characteristics of the energy storage devices and/or the computing device that change while the computing device operates, and predicted behavior or usage of the computing device. These criteria are evaluated during operation of the computing device, and the appropriate energy storage device(s) from which to draw power or to charge at any given time based on these criteria are determined.