Dynamic Energy Storage Discharge 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 inadequate strategies for selecting the appropriate energy storage devices based on dynamic operational conditions.
Innovation Solution
A computing device with multiple energy storage devices employs a dynamic energy storage device discharging system that includes a static criteria determination module, a dynamic system criteria determination module, and a prediction module to select the most suitable energy storage device for power draw, considering factors like temperature, proximity, and predicted usage patterns.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Device complexity
If power is drawn from a single energy storage device, then the device complexity is reduced, but the battery life cannot be extended and thermal management is compromised
Solution Approach 1:
The energy storage system is divided into multiple separate energy storage devices (first energy storage device and second energy storage device), each with independent discharge control. This segmentation allows the system to extend battery life by selectively drawing power from different devices based on thermal conditions and charge levels, while maintaining manageable complexity through a structured selection mechanism.
Solution Approach 2:
The system dynamically selects which energy storage device to discharge based on real-time temperature conditions and charge levels. The discharge source is not fixed but changes adaptively according to thermal zones and battery state, enabling extended battery life without proportionally increasing system complexity through a flexible selection strategy.
2Power
If power is drawn from the energy storage device closest to the component, then power delivery efficiency is improved, but thermal stability deteriorates when the device is in a high-temperature zone
Solution Approach 1:
The system evaluates local thermal conditions by dividing the device into thermal zones and assessing the temperature of each energy storage device individually. Power delivery efficiency is maintained by selecting the closest device when thermal conditions permit, while thermal stability is preserved by switching to a cooler device when temperature thresholds are exceeded, creating a spatially-aware power selection strategy.
Solution Approach 2:
The system continuously monitors temperature conditions and charge levels of energy storage devices, using this feedback to dynamically adjust which device discharges power. When a device in a high-temperature zone is selected, the system detects the thermal condition and switches to an alternative device, ensuring thermal stability while maintaining power delivery efficiency through closed-loop control.
3Duration of action of moving object
If the system continuously monitors all energy storage devices to select the optimal discharge source, then battery life is extended, but the device complexity and computational overhead increase
Solution Approach 1:
The power management system is segmented into distinct functional modules: temperature monitoring, charge level assessment, and discharge selection. This modular approach extends battery life through comprehensive device monitoring while keeping complexity manageable by organizing the monitoring and selection logic into separate, well-defined components with clear interfaces.
Solution Approach 2:
The system performs monitoring and selection actions at appropriate intervals rather than continuously, balancing battery life extension with computational efficiency. By implementing monitoring and selection logic that activates based on specific conditions (such as temperature thresholds or charge level changes) rather than constant operation, the system extends battery life without excessive computational overhead.
Data Source
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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 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 at any given time based on these criteria are determined.