Dynamic Program Execution for Power Source Matching
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Solution Overview
Problem
Conventional power conservation techniques in electronic devices often sacrifice performance to prolong battery life, and do not efficiently utilize power sources, leading to suboptimal battery management.
Innovation Solution
The method involves providing multiple program portions for a processor that exhibit different power consumption profiles, allowing selection based on the characteristics of the power source to maximize battery discharge time and match discharge capacity, utilizing self-recharging capabilities, and associating program portions with specific types of batteries or fuel cells.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of stationary object
If conventional power conservation techniques are used to reduce power consumption, then battery lifetime is prolonged, but device performance is sacrificed
Solution Approach 1:
The system dynamically selects between multiple program portions based on real-time power source characteristics, allowing the device to adapt its power consumption profile to match the specific battery type installed. This dynamic adaptation enables optimization of both battery lifetime and performance without fixed trade-offs.
Solution Approach 2:
Different program portions are provided with distinct power consumption parameters (constant current draw vs. pulsed current draw). The system changes operational parameters by selecting the appropriate program portion based on battery characteristics such as discharge capacity and self-recharging capabilities, thereby resolving the performance-lifetime contradiction.
2Loss of energy
If conventional power conservation techniques are used to minimize power consumption, then battery discharge rate is reduced, but power source utilization efficiency is suboptimal
Solution Approach 1:
The system incorporates feedback about power source characteristics (discharge capacity, self-recharging capability) to select the most appropriate program portion. This feedback mechanism ensures that power consumption is minimized in a way that is specifically tailored to the installed battery type, optimizing power source utilization rather than applying generic conservation techniques.
Solution Approach 2:
Multiple segmented program portions are provided, each optimized for different power source characteristics. This segmentation allows the system to match specific program portions to specific battery types (e.g., nickel-iron, nickel-cadmium, alkaline, lithium-ion), thereby improving power source utilization efficiency while maintaining energy conservation goals.
3Ease of operation
If generic power management strategies are applied, then device operation is simplified, but battery characteristics are not optimally matched
Solution Approach 1:
The system automatically detects or determines the installed battery type and self-selects the appropriate program portion without requiring user intervention. This self-service approach maintains ease of operation while achieving optimal adaptability to specific battery characteristics through automatic program portion selection.
Solution Approach 2:
The power management system is designed to universally support multiple battery types (nickel-iron, nickel-cadmium, alkaline, lithium-ion, etc.) through a single multi-functional architecture that can select from multiple program portions. This universality provides both ease of operation and adaptability to various battery characteristics.
Data Source
AI summary
An electronic device having a processor powered by a power source may be operated by providing a plurality of program portions individually executable by the processor for performing the same computing function. Each program portion causes the processor to exhibit a different instantaneous power consumption profile while performing the computing function. A particular program portion is selected based on at least one characteristic of the power source and executed on the processor to perform the computing function.