EV Charger Availability Detection for Dynamic Power Sharing
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Solution Overview
Problem
The EV charging infrastructure lags behind the growth in electric vehicle adoption, with issues such as insufficient charging points, broken chargers, high costs, confusion about payment, multiple connector types, and a lack of dynamic power sharing capabilities, leading to inefficiencies in charging electric vehicles.
Innovation Solution
A system and method to determine and predict the availability of dynamic power sharing at EV charging stations by using a combination of GNSS and vehicle sensor data, battery charge levels, charging curves, and real-time data from charge point operators, and provide routing and payment information to optimize charging.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If dynamic power sharing capabilities are implemented at EV charging stations, then charging efficiency and power optimization are improved, but device complexity and infrastructure requirements increase
Solution Approach 1:
The system performs preliminary detection of dynamic power sharing capabilities at EV charging stations before vehicles arrive. The server proactively identifies and stores information about DPS-capable chargers, allowing vehicles to be routed to appropriate stations in advance, thus improving charging efficiency without requiring complex real-time negotiations when vehicles arrive
Solution Approach 2:
A central server acts as an intermediary between EVs and charging stations, managing the complexity of dynamic power sharing detection and routing. The server receives detection information from chargers, processes it centrally, and provides routing guidance to vehicles, thereby isolating the complexity from both the vehicles and the charging infrastructure themselves
2Loss of time
If real-time detection and routing to DPS-capable chargers is implemented, then charging time is reduced, but system complexity and data processing requirements increase
Solution Approach 1:
The system detects and stores information about dynamic power sharing capabilities at charging stations in advance, before vehicles need to charge. This preliminary detection allows the server to quickly provide routing guidance when vehicles arrive, reducing charging time without requiring complex real-time analysis
Solution Approach 2:
The system implements a feedback mechanism where charging stations transmit their DPS capability status to the server, which then updates routing information. This feedback loop ensures that vehicles are always directed to currently available DPS-capable chargers, optimizing charging time while maintaining manageable system complexity through structured information flow
3Reliability
If multiple charging points are monitored for power availability, then charging options and reliability are improved, but information processing and detection complexity increase
Solution Approach 1:
The system merges the detection and monitoring functions for multiple charging points into a centralized server that consolidates information from multiple sources. Instead of each vehicle independently detecting DPS capabilities at multiple chargers, the server combines detection information from all monitored charging stations into a unified view, improving reliability while reducing individual detection complexity
Solution Approach 2:
The central server performs multiple functions: it detects DPS capabilities, stores charging station information, provides routing guidance, and updates availability status. This multi-functional approach consolidates what would otherwise require separate systems for each function, improving charging availability information while managing overall system complexity efficiently
Data Source
AI summary
A system, method, apparatus, etc., for electric vehicle supply equipment management wherein an indication of at least a first location of an electric vehicle and its charging needs are obtained along with charge point data for vehicle chargers proximate to the location of the electric vehicle. Based on this and other data, a dynamic power sharing availability indicator may be determined with this indicator used in map databases, automated vehicle routing, etc.