Power Allocation Using Operating Deviation to Protect Batteries
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Solution Overview
Problem
Conventional power allocation methods in electric devices often result in unreasonable power distribution leading to battery overcharge and overdischarge phenomena due to discrepancies between actual requested and operating power, which existing solutions fail to adequately address.
Innovation Solution
A method that calculates a final requested power for each device by considering its historical operating power deviation, allowing for more accurate power allocation based on current available power, thereby preventing overcharge and overdischarge by reserving a portion of power during operation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Ease of operation
If power is allocated according to requested power of electric devices, then power distribution follows device demands, but battery overcharge and overdischarge occur due to deviation between requested and actual operating power
Solution Approach 1:
The system performs preliminary actions by calculating historical operating power deviation values before power allocation occurs. These deviation values are pre-computed and stored, allowing the power management to anticipate actual power consumption patterns and adjust allocation accordingly, preventing overcharge and overdischarge before they occur
Solution Approach 2:
The system implements feedback by continuously monitoring the deviation between requested power and actual operating power. This feedback loop uses historical deviation data to dynamically adjust power allocation decisions, ensuring that the power management system learns from past performance and improves its accuracy over time
2Productivity
If power is gradually allocated according to device priority when available power is insufficient, then power distribution follows priority rules, but actual power needs may not be met due to requested power inaccuracy
Solution Approach 1:
The system replaces the mechanical/manual power allocation approach with an intelligent computational system. Instead of simple priority-based allocation, the system uses algorithms that automatically calculate deviation values and adjust power distribution based on actual operating patterns, eliminating the need for manual intervention while improving accuracy
Solution Approach 2:
The system changes the parameter used for power allocation from static requested power values to dynamic adjusted values that incorporate historical deviation data. This parameter transformation allows the system to adapt to varying operating conditions and improve measurement precision without increasing system complexity
Data Source
AI summary
A method and a device for power allocation are disclosed. The method includes: receiving a power request sent by each of a plurality of electric devices, in which the power request includes initial requested power that is an actual power value currently requested by a corresponding device; determining final requested power corresponding to each of the plurality of electric devices according to the initial requested power and an operating power deviation value corresponding to each of the plurality of electric devices, in which the operating power deviation value is configured to measure a historical deviation of actual requested power from actual operating power of the corresponding electric device; determining allocated power corresponding to each of the plurality of electric devices according to current available power of a power supply system and the final requested power corresponding to each of the plurality of electric devices.