EVSE Phase Validation for Three-Phase Charging Trajectories
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Solution Overview
Problem
Current electric vehicle charging solutions face challenges in managing distributed energy resources due to inaccurate or missing phase information, leading to inefficiencies and potential overloading of electrical equipment.
Innovation Solution
A system and method that utilize a three-phase transformer and an edge environment with logic to receive configuration information, determine unknown phase assignments, and generate optimization problems to optimize energy distribution and charging trajectories for electric vehicles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If adaptive load management is implemented for simultaneous charging across multiple EVs, then charging efficiency is improved, but the system becomes dependent on accurate phase information which is often unavailable or incorrect
Solution Approach 1:
The system performs preliminary phase detection and validation during EVSE installation and configuration before actual charging operations begin. This includes capturing installation phase information, validating it through multiple checks, and storing it in a centralized database for future reference, thereby ensuring accurate phase information is available before adaptive load management is activated
Solution Approach 2:
The system implements continuous feedback mechanisms that monitor phase information accuracy, validate phase assignments during charging operations, and automatically detect and report discrepancies. This feedback loop ensures that phase information remains accurate and up-to-date, maintaining the reliability needed for efficient adaptive load management
2Ease of manufacture
If phase assignment information is not accurately recorded during installation, then installation complexity is reduced, but the system cannot perform accurate adaptive load management
Solution Approach 1:
The system performs preliminary phase detection and validation during EVSE installation and configuration before actual charging operations begin. This includes capturing installation phase information, validating it through multiple checks, and storing it in a centralized database for future reference, thereby ensuring accurate phase information is available before adaptive load management is activated
Solution Approach 2:
The system automatically detects, validates, and records phase information during installation without requiring manual intervention or specialized knowledge from installers. The automated phase detection process eliminates the need for accurate manual recording while ensuring the phase information is captured correctly for future adaptive load management operations
3Adaptability or versatility
If chargers from different providers are integrated, then system versatility is improved, but phase information accuracy deteriorates due to lack of standardized recording
Solution Approach 1:
The system implements a universal phase information management framework that works with EVSE from any provider. This includes standardized data structures for storing phase information, universal validation rules that apply to all EVSE regardless of provider, and a centralized database that maintains consistent phase information across multi-provider environments, thereby ensuring reliability while maintaining versatility
Solution Approach 2:
The system implements continuous feedback mechanisms that monitor phase information accuracy, validate phase assignments during charging operations, and automatically detect and report discrepancies. This feedback loop ensures that phase information remains accurate and up-to-date across chargers from different providers, maintaining the reliability needed for efficient adaptive load management
Data Source
AI summary
Certain aspects of the present disclosure provide techniques for charging a plurality of electric assets. One embodiment of a system includes EVSE for charging an EV, the EVSE including a three-phase transformer for sending energy to the EV and an edge environment that is coupled to the EVSE. The edge environment may include logic that causes the system to receive configuration information associated with the EVSE, where the configuration information includes a phase assignment for the EVSE, determine whether the phase assignment is labeled as unknown, where the phase assignment of unknown was applied in response to a determination that a previous phase assignment was invalid or missing, and generate an optimization problem for the EVSE. In some embodiments, the logic may cause the system to solve the optimization problem to generate a trajectory for the three-phase transformer and cause implementation of the trajectory on the EVSE.