EV Battery Power Supply Targeting for VPP Participation
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Solution Overview
Problem
Users of electric vehicles (EVs) may lose motivation to participate in virtual power plants (VPPs if the power supply to determined discharge destinations is not advantageous, disrupting energy optimization.
Innovation Solution
A power supply managing system that includes a charge amount recognizing section, a scheduled date-and-time-of-use recognizing section, and a power supply target determining section to identify and prioritize power supply targets based on the charge amount, current time, and target attribute information, ensuring that power is supplied efficiently and effectively.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If power supply targets are determined based on current SOC and charge-requesting SOC, then power supply can be organized, but user motivation to participate in VPP decreases when power supply is not advantageous
Solution Approach 1:
The patent implements dynamic power supply target determination that adapts to changing conditions. The system dynamically selects power supply targets based on real-time battery charge amounts, current time, scheduled use dates, and target attributes, rather than using fixed criteria. This dynamic approach ensures users always receive advantageous power supply decisions, maintaining their motivation to participate in the VPP while efficiently organizing power supply.
Solution Approach 2:
The patent changes the parameters used for power supply target determination from simple SOC comparisons to a multi-parameter evaluation system. The system considers battery charge amount, current time, scheduled use date and time, and target attributes to determine power supply targets. This parameter expansion allows the system to identify more advantageous power supply opportunities, increasing user motivation while maintaining organizational efficiency.
2Device complexity
If power supply decisions are made without considering scheduled use and charge amount, then decision process is simple, but power supply optimization is reduced
Solution Approach 1:
The patent segments the power supply decision-making process into distinct functional modules: a charge amount recognizing section that identifies battery charge levels, a scheduled date-and-time-of-use recognizing section that captures future use plans, a target attribute information recognizing section that gathers target characteristics, and a power supply target determining section that synthesizes all information. This segmentation manages complexity by organizing the decision process into manageable, specialized components while achieving comprehensive optimization.
Solution Approach 2:
The patent performs preliminary recognition and data gathering before making power supply decisions. The system预先 identifies battery charge amounts, scheduled use dates, and target attributes before determining power supply targets. This preliminary action allows the system to make well-informed optimization decisions without requiring complex real-time calculations during the actual power supply decision moment.
Data Source
AI summary
A power supply system including a charge amount recognizing section that recognizes a charge amount of a battery mounted on a movable body, wherein when the movable body is in a state where power supply from the battery to a charge and discharge apparatus is possible, a power supply target is determined based on the charge amount of the battery and a current time, the power supply target being to undergo power supply from the battery.