Charging Robot Occupant Detection and Dynamic Approach
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Solution Overview
Problem
Existing electric vehicle charging robots are unable to determine if an EV occupant has disembarked and are limited to moving along predetermined paths, which compromises safety and efficiency during charging.
Innovation Solution
A charging robot with a moving module, robot arm, sensing units, and a control module that can recognize the EV occupant's presence and movement, allowing it to safely approach and charge the vehicle by dividing the charging sector into two spaces, ensuring the occupant's safety and improving charging efficiency.
Engineering Contradictions & Design Principles
Engineering Contradiction Analysis
1Reliability
If the charging robot moves along a predetermined movement path, then the charging operation can be performed, but the robot cannot determine whether an EV occupant has disembarked, compromising safety
Solution Approach 1:
The control module executes preliminary actions by first detecting EV occupancy status through sensing units before initiating the charging approach. The system performs preliminary safety verification by determining whether the charging sector is occupied, and only proceeds with charging operations after confirming the area is clear, thereby eliminating safety hazards before they can occur
Solution Approach 2:
Sensing units serve as intermediaries between the charging robot and the EV occupant environment. These sensors detect the presence or absence of occupants in the charging sector and transmit this information to the control module, which then mediates the robot's movement decisions, allowing the system to respond appropriately to safety conditions
2Reliability
If the charging robot waits for the EV to be fully parked before approaching, then safety is maintained, but charging efficiency is reduced due to delayed operation
Solution Approach 1:
The charging robot employs dynamic movement strategies with multiple speed modes. The control module adjusts the robot's approach speed based on real-time occupancy detection: when the charging sector is clear, the robot approaches at high speed to maximize efficiency; when occupancy is detected, the robot slows down or halts to ensure safety, creating a dynamic balance between speed and safety
Solution Approach 2:
The system implements continuous feedback loops where sensing units monitor the charging sector for EV occupants in real-time during the robot's approach. The control module receives this feedback and dynamically adjusts the robot's movement speed and approach timing, allowing the system to optimize charging efficiency while maintaining safety through real-time condition-based responses
3Productivity
If multiple charging locations have more robots than needed, then charging speed is fast, but if there are fewer robots than locations, charging efficiency decreases due to robot availability constraints
Solution Approach 1:
The control module performs preliminary assessment of charging sector availability and robot positioning before initiating charging operations. By pre-evaluating which sectors are ready for charging and which robots are optimally positioned, the system can efficiently allocate limited robots to the most appropriate charging locations, reducing deployment complexity while maintaining high charging speed
Solution Approach 2:
The charging robot system implements self-service through autonomous navigation and automatic charging sector selection. Each robot independently determines its optimal target sector and executes charging operations without requiring complex centralized coordination, thereby simplifying the overall system deployment while maintaining high productivity across multiple locations
Data Source
AI summary
Disclosed is a device for controlling one or more charging robots in a charging station including a plurality of charging sectors. The device includes a communication unit for communicating with the charging robot, an inputter for inputting an image signal, and a controller, wherein the controller may recognize the electric vehicle entering the charging sector based on information inputted through the inputter, select a charging robot that is located at a close distance from the charging sector and is directly movable to the charging sector, and cause the selected charging robot to move to the charging sector. Accordingly, a charging robot and a control device having artificial intelligence and performing 5G communication can be provided.