Electric Transport Grouping for Peak Grid Charge Transfer
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Solution Overview
Problem
Conventional methods do not provide a coordinated and scalable way for electric transports to relieve energy demands on the electric grid, as they cannot effectively determine and transfer stored charges to meet grid energy needs in a timely manner.
Innovation Solution
A system that determines groups of electric transports with available stored charges, verifies their connection to energy receiving modules, and initiates charge transfers when the grid's energy demand exceeds a threshold, utilizing blockchain technology for decentralized management and smart contracts for authorization and compensation.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If conventional methods are used for electric transports to relieve energy demands on the electric grid, then the system structure remains simple, but the effectiveness and coordination of energy transfer are insufficient
Solution Approach 1:
The system segments electric transports into groups based on their stored charge availability and connection status. This segmentation enables coordinated management of energy transfer from multiple vehicles to the grid, improving reliability by organizing vehicles into manageable groups that can be controlled and monitored effectively.
Solution Approach 2:
A centralized system acts as an intermediary between electric transports and the energy receiving module. This intermediary coordinates the grouping, verification, and energy transfer processes, ensuring reliable and efficient energy transfer while managing the complexity of coordinating multiple vehicles through a single control point.
2Speed
If electric transports transfer stored charge immediately when available, then the response speed to grid energy needs is fast, but the coordination and verification of connection status becomes complex
Solution Approach 1:
The system performs preliminary grouping of electric transports based on their stored charge availability before the actual energy transfer is needed. This preliminary action allows the system to pre-identify and pre-verify connection status of vehicles, enabling faster response when grid energy demand arises without the complexity of real-time verification during peak demand.
Solution Approach 2:
Electric transports self-report their connection status and stored charge availability to the centralized system. This self-service approach simplifies the coordination complexity by allowing vehicles to autonomously provide verification information, reducing the burden on the centralized system to actively verify each connection while maintaining fast response capability.
3Reliability
If the system monitors and verifies connection status of electric transports, then the reliability of energy transfer is improved, but the time and resources required for verification increase
Solution Approach 1:
The system verifies connection status and groups electric transports in advance before energy transfer is required. This preliminary verification ensures high reliability of energy transfer by confirming connection status beforehand, while minimizing verification time during actual energy transfer operations since the verification work has already been completed.
Solution Approach 2:
The centralized system maintains a copy or record of connection status and grouping information for electric transports. This copying approach allows the system to verify and track connection status efficiently without repeated real-time verification, reducing the time and resources required for ongoing monitoring while maintaining accurate records for reliable energy transfer.
Applied Scientific Principles
This section explains which scientific principles are used to turn an abstract innovation direction into a practical engineering solution.
Function Achieved in This Case
Enables efficient and coordinated relief to the electric grid by ensuring that electric transports with available charges are connected and transfer energy when needed, optimizing grid energy management and reducing strain during peak demand.
Implementation Method 1
A bidirectional charger, such as a battery pack, is used to transfer electrical energy between the electric vehicle and the electric grid
Data Source
AI summary
An example operation includes one or more of determining groups of electric transports in an area that will have an available stored charge at a future time; verifying that one or more of the groups of electric transports are connected to an energy receiving module in the area immediately prior to the future time; and initiating a transfer of the available stored charge at the future time, wherein the future time is related to an energy demand of an electric grid being greater than a threshold.


