EVSE Dynamic Load Management for Charging Station Overload Prevention
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Solution Overview
Problem
The increasing adoption of electric vehicles (EVs) has created a need for efficient energy demand management at electric vehicle charging stations, where effectively balancing EV supply equipment (EVSE) loads within available capacity and reducing peak demand to prevent system overloads is critical.
Innovation Solution
A method and system that utilize dynamic load management (DLM) to adjust the charging capacity of each EVSE based on available EV charging capacity, activated by a cloud controller and executed by an edge controller. DLM is triggered when the total load reaches a trigger threshold and further adjusted when the load gradient reaches a gradient threshold.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If normal charging procedure is performed on EVSEs to charge EVs, then charging service is provided to users, but total load may reach or exceed the trigger threshold causing system overload
Solution Approach 1:
The system dynamically switches between normal charging procedure and dynamic load management mode based on real-time load conditions. When total load reaches the trigger threshold, the system transitions from static normal charging to dynamic load management, adjusting EVSE charging capacities in real-time to prevent system overload while maintaining charging service.
Solution Approach 2:
The system continuously monitors total load and uses this feedback to control the charging process. When load reaches the trigger threshold, feedback triggers the activation of dynamic load management mode, which adjusts EVSE capacities based on real-time conditions, creating a closed-loop control system that prevents overload.
2Reliability
If dynamic load management is activated to reduce peak demand, then system overload is prevented, but charging capacity of EVSEs must be adjusted which may affect user experience
Solution Approach 1:
The system introduces an intermediate dynamic load management mode between complete normal charging and system shutdown. This intermediary mode allows partial charging capacity adjustment rather than binary on/off control, maintaining a balance between preventing overload and providing charging service, thereby reducing the impact on user experience.
3Productivity
If charging capacity of each EVSE is adjusted based on available EV charging capacity, then load balancing is optimized, but real-time monitoring and control complexity increases
Solution Approach 1:
The system segments the charging load management into individual EVSE units, allowing independent capacity adjustment of each charger based on real-time conditions. This segmentation enables granular control and optimization of load distribution across multiple charging points, improving overall load balancing efficiency while maintaining manageable complexity through modular control.
Data Source
AI summary
A method for charging electric vehicle (EV) at an electric vehicle charging station equipped with electric vehicle supply equipments (EVSEs) is provided. A normal charging procedure is performed on the EVSEs to charge EV under control of a cloud controller. Dynamic load management (DLM) is inactive during the normal charging procedure. A first time point, referred to whether a total load is equal to or larger than a trigger threshold during the normal charging procedure, is determined. If the determination is yes, DLM is activated to charge the at least one EV by the EVSEs under control of an edge controller. A second time point, referred to whether a gradient of the total load reaches a gradient threshold during activated DLM, is determined. If the determination is yes, the charging capacity of each EVSE is adjusted based on an available EV charging capacity by the edge controller.


