Vehicle Power Transfer Control for Fast Grid Response
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Solution Overview
Problem
Existing systems for managing power transfer and battery charging/discharging in vehicle networks are inefficient in providing primary adjustment forces to power networks, leading to increased power consumption and reduced response times.
Innovation Solution
A system that groups vehicles based on battery state of charge (SOC) and dynamically switches their states between active and sleep modes to optimize power supply to the power network, using a centralized control unit to manage charging and discharging operations.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Speed
If vehicles are kept in active state to provide primary adjustment force to power network, then power supply response capability is improved, but power consumption increases
Solution Approach 1:
The system dynamically switches vehicles between active and sleep states based on power network conditions and vehicle battery states. This dynamic state transition allows the system to maintain power supply capability when needed while reducing power consumption during normal operation, directly resolving the contradiction between response capability and energy usage.
Solution Approach 2:
The control unit pre-charges batteries of vehicles before they are needed to provide primary adjustment force. By preparing vehicles in advance and keeping them in sleep state until needed, the system ensures rapid response capability while minimizing unnecessary power consumption during the preparation and standby phases.
2Loss of time
If vehicles are switched from sleep to active state quickly, then response time is reduced, but activation time and system complexity increase
Solution Approach 1:
The system performs preliminary charging of batteries during off-peak periods or when power network conditions are favorable, so that vehicles are ready to provide primary adjustment force immediately when needed. This advance preparation reduces the activation time from sleep state while maintaining system simplicity.
Solution Approach 2:
Vehicles autonomously manage their own charging and state transitions based on control unit instructions and their own battery states. This self-service capability reduces the complexity of centralized control while ensuring rapid response when primary adjustment force is needed.
Data Source
AI summary
A system includes a control unit configured to select, from among a plurality of vehicles, a vehicle to be put on standby in a state where a power supply state is turned on to be able to provide a power resource to a power network, and perform control to bring the selected vehicle into a state where the power resource is able to be provided to the power network, and to cause another vehicle to sleep. The control unit is configured to sequentially select a vehicle, which is to be put on standby in a state where the power resource is able to be provided in order to provide a primary adjustment force to the power network, from among a plurality of vehicles belonging to the same group of groups divided by estimating an amount of power resource which is able to be provided to the power network.