Behavior Rule Correction for EV State Prediction Under Operation Changes
Find Innovative SolutionsGenerate Solutions
Solution Overview
Problem
Existing state prediction systems for distributed energy supply and demand, such as those for electric vehicles, face challenges in predicting future states when operation changes occur, as they lack appropriate historical data for new operational scenarios.
Innovation Solution
A state prediction system that includes a behavior feature extraction unit, a behavior rule extraction unit, a behavior rule correction unit, and a prediction unit, which extracts features from historical data, corrects behavior rules based on user input, and predicts future states using corrected rules, even in scenarios with limited historical data.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Measurement precision
If historical data is used for prediction, then prediction accuracy is improved under stable operations, but prediction fails when operational changes occur due to lack of corresponding historical data
Solution Approach 1:
The patent segments the prediction process into multiple components: behavior rule extraction from historical data, operation change detection, and rule correction. This segmentation allows the system to handle different aspects separately - using historical data for baseline patterns while independently addressing operational changes through user input and correction mechanisms.
Solution Approach 2:
The system dynamically adapts prediction rules based on detected operational changes. When changes are detected, the system allows correction of behavior rules through user input, making the prediction model flexible and adaptive rather than static. This dynamic adjustment enables the system to maintain accuracy even when operations change.
2Adaptability or versatility
If behavior rules are corrected based on user input, then adaptability to new operations is improved, but system complexity increases due to additional correction and validation mechanisms
Solution Approach 1:
The patent introduces an intermediary validation mechanism that checks whether operational changes are significant enough to warrant rule corrections. This intermediary layer filters out minor fluctuations and only triggers complex correction processes when genuine operational changes occur, reducing unnecessary complexity while maintaining adaptability.
Solution Approach 2:
The system enables users to directly input correction information for behavior rules when operational changes occur. This self-service approach allows domain experts to adjust prediction rules without requiring complex automated learning mechanisms, simplifying the system while maintaining high adaptability to new operations.
3Measurement precision
If comprehensive behavior features are extracted, then prediction accuracy is improved, but data processing time and computational load increase
Solution Approach 1:
The patent performs preliminary extraction of behavior features from historical data during system initialization or off-peak periods, creating pre-processed behavior rules that can be quickly applied during actual prediction operations. This preliminary action reduces real-time processing requirements while maintaining comprehensive feature analysis for accurate predictions.
Data Source
AI summary
Provided is a state prediction system or the like that appropriately predicts a state of a device to be charged and discharged. A state prediction system includes a behavior feature extraction unit that, based on behavior historical data and charging rate historical data of a device, extracts a feature of behavior of the device; a behavior rule extraction unit that extracts, based on a predetermined feature, a behavior rule of the device; a behavior rule correction unit that corrects the behavior rule based on a predetermined input operation by referring to a display unit displaying the behavior rule; and a prediction unit that, in a case where the behavior rule is corrected by the behavior rule correction unit, predicts a future state of the device based on the corrected behavior rule.


