Electric Vehicle Reservation Arbitration with Weighted Selection Conditions
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Solution Overview
Problem
There is a need for an effective system to appropriately select a reservation target from candidates, considering user preferences and operational constraints, to optimize utilization of electric vehicles as distributed energy resources.
Innovation Solution
A system comprising a power control apparatus, integrated management apparatus, and vehicle management apparatus that manages reservation information, including selection conditions and importance information, to arbitrate conflicting reservations and optimize power and dispatch plans, ensuring efficient use of electric vehicles for energy management.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If the system manages multiple reservation candidates with multiple selection conditions, then the utilization rate of electric vehicles is improved, but the complexity of reservation arbitration increases
Solution Approach 1:
The system changes the parameter of selection conditions by introducing importance information that quantifies the significance of each condition. This allows the arbitration system to prioritize certain conditions over others, simplifying the decision-making process while still considering multiple factors. The importance information serves as a parameter that transforms the complex multi-condition evaluation into a more manageable weighted assessment.
Solution Approach 2:
The reservation arbitration process is segmented by dividing selection conditions into distinct evaluable units, each with its own importance weight. This segmentation allows the system to process conditions independently and systematically, reducing the overall complexity of the arbitration process while maintaining comprehensive evaluation of multiple candidates.
2Productivity
If the system prioritizes power supply and demand optimization, then energy management efficiency is improved, but user convenience may deteriorate
Solution Approach 1:
The system applies dynamics by making the selection conditions adjustable and adaptable. The importance information allows the system to dynamically prioritize power supply and demand optimization when energy management efficiency is critical, while still preserving user convenience options. The arbitration can shift priorities based on real-time needs, balancing both objectives flexibly rather than being rigidly fixed.
Solution Approach 2:
By introducing importance information as a可调 parameter, the system can change the weight given to power supply/demand conditions versus user convenience conditions. This parameter change enables the system to optimize energy management efficiency when needed while maintaining user convenience as a secondary consideration, resolving the contradiction through adjustable prioritization.
3Measurement precision
If the system considers multiple selection conditions including time and vehicle type, then reservation accuracy is improved, but the arbitration process becomes more complex
Solution Approach 1:
The system transforms the complexity of multiple selection conditions into a more manageable form by assigning importance information to each condition. This parameter change converts a multi-dimensional evaluation problem into a weighted scoring system, where each condition (time, vehicle type, etc.) contributes to the final decision based on its assigned importance, simplifying the arbitration process while maintaining high reservation accuracy.
Solution Approach 2:
The arbitration process is segmented into discrete evaluation steps for each selection condition. By dividing the complex multi-condition assessment into separate, independently evaluable segments with assigned importances, the system maintains high reservation accuracy through comprehensive evaluation while reducing the perceived complexity of the overall process.
Data Source
AI summary
A system that accepts and manages reservation information of a reservation target, including: a accepting unit that accepts the reservation information, wherein the reservation information includes a selection condition for selecting a reservation target to be used by a user from reservation target candidates, and importance information that designates importance of the selection condition; and a storage unit that stores the selection condition and the importance information in correspondence with the selection condition. A method for accepting and managing reservation information of a reservation target, including: accepting the reservation information, wherein the reservation information includes a selection condition for selecting a reservation target to be used by a user from reservation target candidates, and importance information that designates importance of the selection condition; and storing the selection condition and the importance information in association with each other.