Dynamic PSU Engagement for Power Input Optimization
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Solution Overview
Problem
Conventional techniques for engaging power supply units (PSUs) in information handling systems often result in unnecessary power consumption, increasing operational costs and complexity due to either engaging all PSUs or as few as possible to meet varying power demands.
Innovation Solution
A power management control module dynamically engages and disengages PSUs based on efficiency profiles, using the PMBus protocol to monitor and manage power consumption, optimizing the number of PSUs active to minimize total power input while ensuring efficient power delivery and redundancy.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If all PSUs are engaged all of the time, then power supply redundancy is improved, but power consumption increases
Solution Approach 1:
The system dynamically adjusts the number of engaged PSUs based on real-time power demand and efficiency profiles. The power management control module continuously monitors system conditions and modifies PSU engagement status, transitioning from static all-or-nothing engagement to adaptive dynamic engagement that optimizes both redundancy and energy consumption.
Solution Approach 2:
The system changes operational parameters by engaging different numbers of PSUs (1, 2, or 3) based on calculated efficiency metrics. The control module evaluates efficiency profiles and adjusts the engaged PSU configuration parameter to maximize overall system efficiency while maintaining adequate redundancy, rather than fixing the parameter at a constant value.
2Use of energy by moving object
If as few PSUs as possible are engaged, then power consumption is reduced, but system complexity increases due to load management
Solution Approach 1:
The power management control module autonomously manages PSU engagement decisions by automatically calculating efficiency profiles, evaluating system conditions, and determining optimal engagement configurations without external intervention. The system serves itself by making intelligent load distribution decisions based on real-time data, reducing the need for complex external load management mechanisms.
Solution Approach 2:
The system implements feedback loops where the control module continuously monitors power demand, efficiency profiles, and PSU performance, then uses this feedback to adjust engagement decisions. This closed-loop control simplifies load management by using automated feedback-based decision-making rather than complex manual or heuristic-based load distribution strategies.
3Loss of energy
If PSUs are engaged based on efficiency profiles, then power conversion efficiency is improved, but control complexity increases
Solution Approach 1:
The system performs preliminary calculations of efficiency profiles for different PSU engagement scenarios before making engagement decisions. The control module pre-evaluates multiple engagement configurations and their expected efficiency outcomes, then selects the optimal configuration based on these pre-computed profiles, simplifying real-time control decisions.
Solution Approach 2:
The control approach is segmented into distinct functional modules: efficiency profile calculation, system condition monitoring, engagement decision logic, and execution control. This segmentation of the control function into manageable segments reduces overall control complexity by breaking down the complex optimization problem into smaller, independent computational tasks that can be processed sequentially.
Data Source
AI summary
A system includes power supply units (PSUs) to supply power to components. For each PSU, a power conversion efficiency profile is determined. A maximum amount of power consumed during operation of the components is determined. A minimum number of PSUs capable of providing the maximum amount of power is determined. A first amount of power consumed at inputs of the minimum number of PSUs is calculated based on the maximum amount of power and based on the determined power conversion efficiency profile of each of the PSUs. A first number of PSUs to engage is determined, the first number greater than the minimum number of PSUs, wherein a total amount of power consumed at inputs of the first number of PSUs during operation of the system is less than the first amount of power, the determining based on the power conversion efficiency profile of each PSU.