Availability Prediction for Power Storage Devices
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Solution Overview
Problem
Existing electric power systems face challenges in accurately predicting the availability of electric power storage devices, such as vehicle batteries, for optimal power transfer control, especially when user input is absent or outdated, leading to suboptimal utilization plans.
Innovation Solution
An availability prediction apparatus that accesses historical availability specified periods and their frequencies to predict the most probable target availability period within a specified term, using a correlating and selection process to determine the highest occurrence probability period for electric power transfer control.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of information
If user input operation is used to acquire availability information, then the system can obtain availability information, but the utilization plan cannot be properly created when user input is not performed or not updated
Solution Approach 1:
The system automatically acquires availability information by monitoring whether the electric power storage device is connected to the electric power system, eliminating the need for manual user input. The control device detects connection status autonomously and updates availability information in real-time, ensuring the utilization plan is always based on current data without requiring user intervention.
2Reliability
If availability information is not updated regularly, then the system operates with existing data, but prediction accuracy of availability periods deteriorates
Solution Approach 1:
The system continuously monitors the connection status of the electric power storage device and feeds this information back to update availability data in real-time. This feedback mechanism ensures that availability information is always current, improving prediction accuracy for utilization planning without requiring periodic manual updates.
Solution Approach 2:
The system proactively detects changes in connection status and updates availability information before it becomes outdated. By continuously monitoring and preemptively updating data, the system maintains high prediction accuracy and ensures the utilization plan is always based on the most recent availability information.
3Productivity
If the system waits for user input to create utilization plan, then operational complexity is reduced, but the utilization plan cannot be created timely
Solution Approach 1:
The control device autonomously creates the utilization plan by automatically acquiring availability information through connection status monitoring. This self-service approach eliminates the need for user input operations, enabling timely creation of utilization plans while the automatic monitoring system handles data collection and processing in the background.
Data Source
AI summary
An availability prediction apparatus includes an access section that accesses a storage section and a prediction section. The storage section stores availability specified periods occurred before a present time associated with respective frequencies of the availability specified periods, and the access section acquires the availability specified periods from the storage section. The prediction section predicts at least one target availability specified period within a prediction term, which begins at the present time and ends at a time later than the present time by a predetermined term. The prediction section includes a correlating section that correlates the availability specified periods with candidate periods included in the prediction term, and a selection section that specifies and selects one of the candidate periods having a highest occurrence probability as the target availability specified period.