AGV Mobile EV Charging for Flexible Parking-Lot Access
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Solution Overview
Problem
Existing electric vehicle charging systems are inflexible, requiring fixed charging piles at specific locations, which poses challenges for public and private parking lots to accommodate charging infrastructure due to environmental, economic, and legal concerns, limiting mobility and accessibility for electric vehicle charging.
Innovation Solution
A mobile intelligent charging system utilizing AGV technology, a cloud platform, and a payment module, where a mobile charging station can self-move and charge using a cloud platform with a control and monitoring module, and QR code-based identification for navigation and payment, enabling on-spot charging and self-sustenance through existing fixed charging piles.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If fixed charging piles are installed at specific parking locations, then charging reliability is improved, but device complexity and installation difficulty increase due to required power feeding applications and fixed infrastructure
Solution Approach 1:
The charging system transitions from fixed static charging piles to a mobile charging robot that can dynamically move to different parking locations. The robot equipped with wheels and navigation capabilities can autonomously navigate to vehicles needing charging, eliminating the need for fixed infrastructure installation while maintaining charging reliability through on-demand deployment.
Solution Approach 2:
A cloud platform serves as an intermediary between the mobile charging robot and vehicles. The platform receives charging requests, assigns tasks to appropriate robots, and coordinates navigation and charging operations. This intermediary system manages the complexity of coordinating multiple mobile units without requiring complex local infrastructure at each parking spot.
2Ease of operation
If mobile charging stations are deployed, then ease of operation and accessibility are improved, but loss of energy increases due to the need for robots to navigate and return to charging piles
Solution Approach 1:
Multiple mobile charging robots operate simultaneously and continuously serve different vehicles. When one robot completes charging, it returns to the charging pile while another robot immediately deploys to the next vehicle. This continuous operation minimizes idle time and ensures that navigation energy consumption is constantly productive, maintaining high charging accessibility while optimizing energy utilization.
Solution Approach 2:
The mobile charging robot is equipped with autonomous navigation capabilities including sensors, processors, and communication modules that enable it to independently navigate to vehicles, establish charging connections, and return to charging piles without continuous human intervention. This self-service capability reduces the energy overhead associated with manual operation and monitoring.
Data Source
AI summary
A mobile intelligent charging system includes a mobile charging station, a cloud platform for controlling the mobile charging station to be charged while self-moving by an AGV technology, and a payment module connected with the mobile charging station and the cloud platform. The cloud platform includes a control module and a monitoring module. The positioning information is transmitted through the monitoring module, and the person who wants to charge obtains the identification code through a mobile communication device, and uses the positioning information to activate the mobile charging station so that it can be charged according to the positioning information. The charging vehicle is self-propelled to the parking location of the electric vehicle of the person who wants to charge it. The above method can carries out the charging and payment, thus achieving high mobility and easy access to the on-site charging.