EV Charging Completion Prediction via Position and Time Synchronization
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Solution Overview
Problem
Existing systems fail to accurately predict the completion duration or time for charging electric vehicles, leading to inefficiencies in waiting times due to longer charging periods compared to refueling at gas stations.
Innovation Solution
A system comprising a position specifier, predictor, and transmitter that utilizes a network of synchronized first and second devices to calculate distances and synchronize times, allowing for precise prediction of charging completion times based on mobile object positions and battery information.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Duration of action of moving object
If charging of electric vehicles is performed using existing systems, then charging can be completed, but the charging time is long and waiting time occurs
Solution Approach 1:
The system performs preliminary actions by predicting charging completion times in advance based on current battery levels and charging rates. This allows users to plan their visits to charging facilities ahead of time, reducing unnecessary waiting by knowing exactly when charging will complete. The prediction mechanism enables proactive route planning and timing optimization.
Solution Approach 2:
The system implements feedback by continuously monitoring battery levels, charging rates, and completion times, then using this data to refine predictions. The predicted completion time information is fed back to users and can be used to adjust charging strategies, facility scheduling, and user routing decisions to minimize waiting time.
2Productivity
If charging facilities are installed to reduce waiting time, then charging availability improves, but system complexity increases
Solution Approach 1:
The prediction system serves multiple functions: it estimates charging completion times, optimizes facility scheduling, guides user routing decisions, and provides operational insights. This single prediction mechanism addresses various aspects of charging efficiency without requiring separate complex systems for each function.
Solution Approach 2:
The prediction mechanism acts as an intermediary that processes charging data and translates it into actionable completion time estimates. This intermediary layer simplifies the overall system by providing a unified interface between charging operations, facility management, and user information systems, reducing the need for direct complex interactions between multiple components.
3Measurement precision
If multiple devices are used to calculate distance and synchronize time, then prediction precision improves, but device complexity increases
Solution Approach 1:
The system merges multiple functions into an integrated prediction mechanism that combines distance calculation, time synchronization, and charging rate monitoring. By combining these functions into a unified system, the patent reduces overall complexity compared to having separate independent systems for each function while maintaining high prediction precision.
Solution Approach 2:
The system replaces complex mechanical time-synchronization mechanisms with signal-based time deviation calculation between devices. Instead of using intricate mechanical clock synchronization, the patent uses electronic signal exchange to measure and compensate for time differences, simplifying the synchronization mechanism while improving precision.
Data Source
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AI summary
An object of the present invention is to provide a system and a method capable of predicting a completion duration or a completion time at which charging of a mobile object by a charger is completed. A system comprising at least one computer apparatus is provided. The system comprises a position specifier that specifies a position of a mobile object; and a predictor that predicts a completion duration or a completion time at which charging of the mobile object by a charger is completed in accordance with the specified position of the mobile object.