Battery Charge Arbitration Using Power Source Carbon Footprint
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Solution Overview
Problem
The challenge lies in efficiently tracking the state of health and predicting the remaining life of information handling system components for reuse, managing power source type for efficient compute tasks and battery charging, and securely tracking end user inputs while minimizing environmental impact and carbon footprint during component reuse and remanufacturing.
Innovation Solution
A system and method that tracks component lifecycle information at geographically distributed micro manufacturing centers, using robotic tools and manual labor to optimize carbon footprint, cost, and secure data transfer, enabling efficient disassembly and remanufacturing of information handling systems.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Object-generated harmful factors
If components are tracked and reused from failed information handling systems, then environmental impact and landfill commitment are reduced, but the expense of breaking down, testing and rebuilding systems becomes prohibitive
Solution Approach 1:
The patent applies preliminary action by tracking component usage and predicting failures before they occur. The system monitors component health metrics and schedules maintenance or replacement proactively, preventing complete system failure and enabling planned component harvesting at optimal times when components are most reliable and valuable for reuse.
Solution Approach 2:
The patent implements feedback mechanisms through continuous monitoring of component usage patterns, health status, and performance metrics. This feedback loop enables the system to learn from actual component behavior, refine failure predictions, and optimize the timing and methodology of component harvesting and reuse decisions based on real-world data.
2Productivity
If portable information handling systems are used in mobile scenarios, then user accessibility and productivity are improved, but wear and tear on components increases leading to uncertain remaining life
Solution Approach 1:
The patent replaces mechanical assessment methods with electronic and data-driven approaches. Instead of physically inspecting components to assess their condition, the system uses electronic sensors, usage data tracking, and algorithmic analysis to evaluate component health and predict remaining life, enabling more accurate and non-invasive monitoring of components in mobile environments.
Solution Approach 2:
The patent monitors and responds to changes in operational parameters such as usage intensity, environmental conditions, and component performance metrics. By tracking these parameter changes over time, the system adapts its predictions and recommendations based on actual operating conditions rather than static assumptions, improving accuracy for components subjected to variable mobile usage patterns.
Data Source
AI summary
A battery charge agent stored in non-transitory memory and executing on an information handling system processing resource, such as a system charger, sets a minimum battery charge state based on energy parameters that include a carbon footprint for an external power source so that the battery discharges when external power carbon footprint is relatively high and charges when external power carbon footprint is relatively low. The minimum battery charge state is varied based upon anticipated battery use, anticipated location, anticipated power source carbon footprint characteristics and other factors.