The Implementation of the Mechanical System for Automatic Charging of Electric Vehicles: A Project Overview

With the advancement of autonomous and electric vehicles, an increasing demand has been observed for the automatic robot-controlled charging of electric vehicles. The idea of developing such charging stations was raised at several research institutions and universities as early as the 2010s, however the appearance of automatic charging stations with higher Technology Readiness Levels (TRL) can only be dated from 2019 onwards. In most of the developed concepts and solutions, a dedicated parking system is required by vehicle drivers, since the operating range of the robots used for charging is limited. In most cases, solutions do not incorporate robots with unique geometries; instead, proven industrial solutions are applied. The robots in these prototypes are typically installed in a fixed position, similar to industrial applications, and are not mobile. The charging of one vehicle is usually performed by one robot. A high-level summary of the developed mechanical system is presented in this project overview. In this research, an automated, robot-controlled electric vehicle charging system was designed, in which vehicles are parked perpendicularly adjacent to each other, and multiple vehicles are charged using a single collaborative robot. The mechanical system was implemented with a robot mounted on an extendable arm attached to a carriage, which is guided in two directions along rails. In this manner, the automatic charging system is positioned precisely at the parking location of the vehicle to be charged.

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Publication Details

Journal
World Electric Vehicle Journal
Published
2025-08-08
DOI
https://doi.org/10.3390/wevj16080453
Primary Topic
Modular Robots and Swarm Intelligence
Type
article
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article

The Implementation of the Mechanical System for Automatic Charging of Electric Vehicles: A Project Overview

Ákos Odry, Ervin Burkus, Vladimir Tadić, Tibor Szakáll et al.
World Electric Vehicle Journal
Modular Robots and Swarm Intelligence
article

The Implementation of the Mechanical System for Automatic Charging of Electric Vehicles: A Project Overview

Ákos Odry, Ervin Burkus, Vladimir Tadić, Tibor Szakáll, Péter Odry, Zoltán Király
article en

Abstract

With the advancement of autonomous and electric vehicles, an increasing demand has been observed for the automatic robot-controlled charging of electric vehicles. The idea of developing such charging stations was raised at several research institutions and universities as early as the 2010s, however the appearance of automatic charging stations with higher Technology Readiness Levels (TRL) can only be dated from 2019 onwards. In most of the developed concepts and solutions, a dedicated parking system is required by vehicle drivers, since the operating range of the robots used for charging is limited. In most cases, solutions do not incorporate robots with unique geometries; instead, proven industrial solutions are applied. The robots in these prototypes are typically installed in a fixed position, similar to industrial applications, and are not mobile. The charging of one vehicle is usually performed by one robot. A high-level summary of the developed mechanical system is presented in this project overview. In this research, an automated, robot-controlled electric vehicle charging system was designed, in which vehicles are parked perpendicularly adjacent to each other, and multiple vehicles are charged using a single collaborative robot. The mechanical system was implemented with a robot mounted on an extendable arm attached to a carriage, which is guided in two directions along rails. In this manner, the automatic charging system is positioned precisely at the parking location of the vehicle to be charged.

World Electric Vehicle JournalVol. 16(8)
Obuda University (HU), University of Szeged (HU), Technical College of Applied Sciences (RS), University of Pecs (HU), University of Dunaújváros (HU)
Industry, innovation and infrastructure
Openalex Percentile: Top 80%
Modular Robots and Swarm Intelligence
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