Dynamic EV Charging Cost and Grid Integration Platform
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Solution Overview
Problem
Conventional electric vehicle charging technologies face inefficiencies in cost calculation, installation processes, and grid integration, leading to variability in construction costs and potential overload of electrical grids due to uncontrolled charging.
Innovation Solution
A cloud-based platform manages charging services by dynamically calculating costs based on various parameters, including regional variations, electrical grid capacity, and customer input, allowing for real-time scheduling to avoid peak demand and offering financing options, while integrating with renewable energy sources.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Productivity
If uncontrolled charging is implemented, then charging service is provided, but electrical grid overload occurs and installation cost increases due to necessary upgrades
Solution Approach 1:
The charging system dynamically adjusts charging rates and schedules based on real-time grid conditions, transforming the static uncontrolled charging approach into a dynamic responsive system that adapts to grid capacity variations
Solution Approach 2:
The system implements feedback mechanisms where charging decisions are continuously adjusted based on grid status information, creating a closed-loop control system that prevents overload while maintaining charging service
2Measurement precision
If comprehensive site assessment is conducted to determine installation cost, then cost accuracy is improved, but installation process complexity increases
Solution Approach 1:
The system performs preliminary automated assessments of site conditions, building characteristics, and grid requirements before installation, gathering necessary data in advance to streamline the actual installation process
Solution Approach 2:
The system automatically collects and processes site assessment data, reducing manual intervention and simplifying the installation process while maintaining accurate cost calculation
3Object-affected harmful factors
If real-time charging dispatch is implemented to avoid peak demand, then grid overload is prevented, but charging service control complexity increases
Solution Approach 1:
The cloud-based platform serves multiple functions including real-time dispatch control, cost calculation, customer communication, and grid condition monitoring, consolidating complexity into a single multi-functional system
Data Source
AI summary
Method for managing charging service comprising independent Installers, independent utilities, independent electric charging customers, CO2 levels, and independent energy markets, the method comprising: electronically calculating cost of service on a periodic basis based on a plurality of dynamically changing influencing parameters; electronically determining a capital cost of installation; obtaining customer's zip code to determine regional variations in installation cost; estimating customer's location from customer's IP address to determine regional variations in installation cost; Soliciting information about conditions at an installation location which may affect installation cost by soliciting customer input in response to an online questionnaire; soliciting an address of the installation location, then obtaining data comprising age of a building, size of the building and number of units from publicly available data bases, to determine installation cost.