EV Battery Power Transfer Scheduling for Peak Demand Balancing
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Solution Overview
Problem
Current systems for managing electric vehicle batteries as distributed energy resources face challenges in optimizing energy distribution and demand response, particularly in balancing peak power demands and minimizing battery deterioration, while ensuring sufficient vehicles are available for commercial use.
Innovation Solution
A system that includes electric power control apparatuses, integrated management apparatuses, and vehicle management apparatuses, which classify vehicles based on state of charge and time intervals to prioritize energy transfer, adjust departure and arrival times, and manage charge/discharge operations to meet demand while reducing battery deterioration and maintaining vehicle availability.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Loss of energy
If electric power is transferred from vehicle batteries to balance peak demand, then energy distribution is improved and peak demand is reduced, but battery deterioration increases and vehicle availability for commercial use decreases
Solution Approach 1:
The system changes the parameters of battery usage by controlling charge and discharge cycles, adjusting state of charge ranges, and managing power transfer timing to minimize battery stress while maintaining energy balancing functionality
Solution Approach 2:
The system performs preliminary classification of vehicles based on battery state and availability, pre-coordinates charge/discharge schedules, and proactively manages battery usage to prevent excessive deterioration before it occurs
2Loss of energy
If electric power is transferred from vehicle batteries to balance peak demand, then energy distribution is improved and peak demand is reduced, but vehicle availability for commercial use decreases
Solution Approach 1:
The system dynamically adjusts vehicle allocation and power transfer timing based on real-time commercial usage requirements and energy balancing needs, allowing flexible coordination between vehicle availability and energy transfer operations
Solution Approach 2:
The system pre-coordinates vehicle usage schedules and power transfer timing to ensure vehicles are available for commercial operations when needed while still participating in energy balancing during appropriate time windows
3Productivity
If vehicles are classified and selected for power transfer based on state of charge and time interval, then energy distribution efficiency is improved, but system complexity increases
Solution Approach 1:
The system uses parameter-based classification (state of charge thresholds, time interval categories) to simplify vehicle selection and group management, transforming complex multi-dimensional optimization into manageable parameter-based grouping
Data Source
AI summary
A system includes an acquisition unit which acquires information indicating a required electric power amount by which transfer of electric power is required between a battery included in a vehicle and an electric power network, and information indicating a transferable electric power amount by which the battery can transfer electric power with the electric power network, and a selection unit which selects a vehicle with a smaller difference between the transferable electric power amount and the required electric power amount than others by priority among a plurality of vehicles as a vehicle including a battery which is to perform electric power transfer with the electric power network.