Information Processing Apparatus for Battery Capacity Estimation
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Solution Overview
Problem
The uncertainty in household electric vehicle (EV) and storage battery responses to charge and discharge requests complicates the accurate calculation of power adjustable capacities, making it difficult to balance power supply and demand in energy management systems.
Innovation Solution
An information processing apparatus that estimates remaining storage battery capacities and calculates power adjustable capacities by analyzing charge and discharge histories, connected/disconnected time periods, and power demand to accurately determine rechargeable or dischargeable capacities for households.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Quantity of substance
If household EVs and storage batteries are collected to achieve power adjustment capability, then the total power adjustable capacity increases, but the uncertainty of response to charge and discharge requests increases due to varying household demands and autonomous control settings
Solution Approach 1:
The system implements feedback by collecting actual charge and discharge data from household EVs and storage batteries, then using this feedback to refine and update the predicted power adjustable capacity values. This continuous feedback loop allows the system to learn from actual household responses and improve prediction accuracy over time, resolving the contradiction between aggregating large numbers of uncertain household resources and maintaining reliable response predictions.
2Adaptability or versatility
If charge and discharge control is set autonomously on the household side, then household control flexibility increases, but the ability to identify control details from outside decreases
Solution Approach 1:
The system introduces an intermediary component that acts as a communication bridge between household autonomous control systems and the external power management system. This intermediary collects and transmits relevant control information and response data without compromising household autonomy, allowing the external system to predict power adjustable capacity while households maintain their control flexibility and settings.
3Productivity
If bidding capacities are determined by the day before in balancing market, then market trading requirements are met, but accurate calculation of power adjustable capacity becomes difficult due to uncertainty
Solution Approach 1:
The system performs preliminary action by predicting power adjustable capacity in advance based on historical data and patterns, enabling market participants to submit accurate bidding capacities before the balancing market trading period. This advance prediction allows the system to meet market timing requirements while maintaining measurement precision through data-driven forecasting methods that account for household behavior patterns and device characteristics.
Data Source
AI summary
According to one embodiment, an information processing apparatus, comprises a processing circuitry configured to estimate, based on histories of charge and discharge of storage batteries of one or more consumers in a first period, remaining capacities of the storage batteries in a second period different from the first period, and calculate a power adjustable capacity that is a total of rechargeable capacities or dischargeable capacities of the storage batteries of the one or more consumers in the second period, based on estimates of the remaining capacities of the storage batteries.