Community-Driven EV Charging Network Deployment
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Solution Overview
Problem
The establishment and operation of electric vehicle (EV) charging networks are hindered by high costs and logistical challenges, particularly due to location and real estate expenses, and existing methods are difficult to implement from the bottom up to meet the needs of EV owner communities.
Innovation Solution
A system and method for creating an EV charging network from the bottom up, involving a computerized system with remote devices and a server that collects and shares location data, electric vehicle charger data, and interest data to facilitate the creation of EV charging stations, allowing users to participate and invest in the network through a user-friendly graphical interface.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Area of stationary object
If EV charging stations are established using traditional top-down methods, then infrastructure coverage can be achieved, but high costs and logistical challenges arise due to location and real estate expenses
Solution Approach 1:
The patent inverts the traditional top-down approach by implementing a bottom-up method where individual EV owners express interest in charging locations through remote devices, and the system aggregates this demand data to identify optimal charging station locations. This reverses the conventional flow from infrastructure provider initiating deployment to end-users driving the deployment decision, thereby reducing real estate costs and logistical complexity while achieving network coverage.
2Adaptability or versatility
If EV charging network is created to meet specific community needs, then user satisfaction improves, but implementation difficulty increases due to complex logistics
Solution Approach 1:
The patent enables the EV owner community to self-organize and self-determine charging network needs through automated interest expression mechanisms. Individual users independently input their charging location preferences via remote devices, and the server automatically aggregates and analyzes this data to identify optimal charging station locations. This self-service approach eliminates the need for complex centralized planning and coordination, reducing logistical complexity while ensuring the network aligns with actual community needs.
3Speed
If fast DC rechargers and battery-swapping stations are deployed, then recharging speed improves, but establishment cost increases significantly
Solution Approach 1:
The patent implements a demand-driven deployment strategy where charging infrastructure is established incrementally based on aggregated user interest. Rather than deploying expensive fast DC rechargers or battery-swapping stations universally, the system first gauges community demand through interest expressions, then deploys appropriate charging solutions only where sufficient demand exists. This partial action approach reduces overall infrastructure costs while maintaining recharging speed benefits in high-demand areas.
Data Source
AI summary
A method for creating an electric vehicle charging network includes receiving first location data from a first remote device; providing electric vehicle charger data to the first remote device as a function of the first location data; receiving second location data from a second remote device; providing the electric vehicle charger data to the second remote device as a function of the second location data; and, in response to the electric vehicle charger data, receiving interest data from the first and second remote devices to permit creation of a first electric vehicle charger. Further methods and systems are provided.