Electric Power Generation Control System for Energy Balance
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Solution Overview
Problem
Existing electric power generation systems for small electronic devices often fail to maintain energy balance, leading to inefficient power generation and potential system failure due to excessive control power usage or inadequate assistance during low power generation periods.
Innovation Solution
An electric power generation control system and program that include a variation prediction section, balance calculation section, and switching timing calculation section to predict future energy variations, calculate energy balance between generation and discharge, and determine optimal mode switching between power generation and discharge modes.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If electric power generation control is performed using real-time electric power generation amount or external sensor information, then control responsiveness is improved, but energy balance deteriorates due to excessive control power consumption
Solution Approach 1:
The system performs preliminary action by predicting future electric power generation amounts in advance using variation prediction section (A1) before actual control decisions are made. This allows the control system to plan ahead and make decisions based on predicted energy availability, reducing the need for continuous real-time measurements and high-power control operations, thus lowering control power consumption while maintaining effective control.
Solution Approach 2:
The system implements feedback by calculating energy balance (A2) between predicted electric power generation amounts and discharge amounts, and using this balance information to determine optimal switching timing (A3). The feedback loop continuously monitors energy balance and adjusts mode switching decisions accordingly, ensuring control power consumption remains within sustainable limits while maintaining control effectiveness.
2Productivity
If assistance is provided for electric power generation in early stage, then electric power generation efficiency is improved, but energy balance deteriorates due to additional power consumption
Solution Approach 1:
The system applies dynamics by making the assistance provision dynamic rather than static. The switching timing calculation section (A3) dynamically adjusts when assistance is provided based on real-time energy balance calculations (A2) and predicted generation variations (A1). Assistance is provided only when energy balance conditions permit, allowing the system to optimize generation efficiency while adapting to changing energy availability conditions, thus preventing excessive power consumption.
Solution Approach 2:
The system changes parameters by adjusting the timing and duration of assistance based on predicted electric power generation variations. Instead of providing fixed assistance, the system modifies assistance parameters dynamically according to predicted energy generation patterns, ensuring that assistance power consumption remains balanced with available energy resources while still improving generation efficiency when beneficial.
3Reliability
If supply of electric power from secondary battery is stopped to avoid overdischarge, then battery protection is improved, but electric power generation capability deteriorates due to loss of supplementary power
Solution Approach 1:
The system performs preliminary action by predicting future electric power generation amounts before making decisions about stopping battery supply. The variation prediction section (A1) forecasts when sufficient power will be generated again, allowing the control system to plan the resumption of battery-assisted generation in advance. This ensures battery protection is maintained during low-generation periods while preserving generation capability by readying the system for efficient operation when energy balance improves.
Solution Approach 2:
The system uses feedback by continuously monitoring energy balance (A2) and using this information to determine optimal switching timing (A3) between battery supply and generation-only modes. When energy balance indicates sufficient power availability, the system feedback-drivenly resumes battery supply to restore full generation capability, thus protecting the battery from overdischarge while maintaining productivity when conditions permit.
Data Source
AI summary
An electric power generation control system includes: a variation prediction section configured to predict future variation, based on a variation log including a plurality of variation patterns obtained from past physical quantities and a variation pattern obtained from a newly obtained physical quantity; a balance calculation section configured to calculate energy balance between a electric power generation amount and a discharge amount with use of variation prediction in the variation prediction section; and a switching timing calculation section configured to calculate a timing of switching between various modes relating to electric power generation and discharge with use of the energy balance calculated by the balance calculation section.