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Ashwin R Saji, Nithin Prasanth, Prarthana U. Kumar, Veena S, Rakhi Das,
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- Student, Student, Student, Student, Assistant Professor Department of Electrical and Electronical Engineering, UKF College of Engineering and Technology, Department of Electrical and Electronical Engineering, UKF College of Engineering and Technology, Department of Electrical and Electronical Engineering, UKF College of Engineering and Technology, Department of Electrical and Electronical Engineering, UKF College of Engineering and Technology, Department of Electrical and Electronical Engineering, UKF College of Engineering and Technology Kerala, Kerala, Kerala, Kerala, Kerala India, India, India, India, India
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Abstract
nThe Robotic Arm-Based Battery Swapping System indeed marks a significant stride in merging technology and sustainability. Its integration of robotics, computer vision, and renewable energy positions it as a ground breaking solution, reshaping the landscape of electric vehicle charging. This automated approach not only tackles inefficiencies in current methods but also serves as a blueprint for future advancements in the domain. The inefficiencies inherent in conventional electric vehicle battery replacement methods, characterized by time-consuming processes and manual interventions, are precisely what the Robotic Arm-Based Battery Swapping System aims to address. Through the integration of precise robotics, computer vision, and sustainable energy sources, the project seeks to provide a streamlined, precise, and eco-friendly solution in response to the growing demand for improved efficiency and environmental alignment in the electric mobility landscape. Focuses on the precision and automation of battery swapping processes in electric vehicles. The project features a robotic arm with 3D-printed components and servo motors for accurate movements. The system includes a computer vision system using OpenCV for battery recognition and positioning. Safety measures are implemented through the use of a smoke sensor and temperature monitoring with voice feedback. The project also incorporates a solar charging system, consisting of a solar panel and charge controller, to reduce reliance on conventional power grids and promote sustainability. The system’s performance can be monitored through a 16×2 LCD display, which provides real-time information on charging status and system parameters. The event of potential hazards, the smoke sensor promptly triggers responsive actions, ensuring the swift and effective mitigation of risks.
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Keywords: Computer vision, LCD, OpenCV, RFID, Streamline, Swapping, Triggers
n[if 424 equals=”Regular Issue”][This article belongs to International Journal of Advanced Robotics and Automation Technology(ijarat)]
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References
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- Tianyang Zhao, Jianhua Zhang, Peng Wang, Closed-loop Supply Chain Based Battery Swapping and Charging System Operation A Hierarchy Game Approach, Date of publication 1 March 2019, Volume 5,(35-45p).
- Furkan Ahmad, Mohammad Saad Alam, Ibrahim Saad Alsaidan, Samir M. Shariff, Battery swapping station for electric vehicles opportunities and challenges, Date of publication March 6, 2019, Volume 3,(280-286p).
- Jie Yang, Weiqiang Wang, Kai Ma, And Bo Yang, Optimal Dispatching Strategy for Shared Battery Station of Electric Vehicle by Divisional Battery Control, Date of publication March 20, 2019, Volume 7,(38224-38235p).
- Liang Zhang, Sihang Zhou, Jing An, Qi Kang, Demand-Side Management Optimization in Electric Vehicles Battery Swapping Service, Date of publication July 12, 2019, Volume 7, (95224-95232p).
- Hong Liu, Yuhan Zhang, Shaoyun Ge, Chenghong Gu, And Furong Li, Day-Ahead Scheduling for an Electric Vehicle PV-Based Battery Swapping Station Considering the Dual Uncertainties, Date of publication August 16, 2019, Volume 7, (115625-115636p).
- Gaizka Saldaña, José Ignacio San Martín, Inmaculada Zamora, Francisco Javier Asensio1, (Member, Ieee), Oier Oñederra, And Mikel González, Empirical Electrical and Degradation Model for Electric Vehicle Batterie, Date of publication August 25, 2020, Volume 8,(155576-155589p).
- Xiyuan Liu, Zhaohong Bie, Cooperative Planning of Distributed Renewable Energy Assisted 5G Base Station With Battery Swapping System, Date of publication August 26, 2021, Volume 9, (119353-119366p).
- Hao Wu, A Survey of Battery Swapping Stations for Electric Vehicles: Operation Modes and Decision Scenarios, Date of publication 8 August 2022, Volume 23, (10163-10185p).
- Xiaohong Diao, Linru Jiang, Tian Gao, Liang Zhang, Research on Electric Vehicle Charging Safety Warning Based on A-LSTM Algorithm, Date of publication 31 May 2023, Volume 11(55081-55093p).
- Mustafa Cagatay Kocer, Ahmet Onen, Jaesung Jung, Hakan Gultekin, Sahinalbayrak, Optimal Location and Sizing of Electric Bus Battery Swapping Station in Microgrid Systems by Considering Revenue Maximization, Date of publication 17 April 2023, Volume 11,( 41084-41095p).
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International Journal of Advanced Robotics and Automation Technology
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| Volume | 02 | |
| [if 424 equals=”Regular Issue”]Issue[/if 424][if 424 equals=”Special Issue”]Special Issue[/if 424] [if 424 equals=”Conference”][/if 424] | 01 | |
| Received | May 20, 2024 | |
| Accepted | June 22, 2024 | |
| Published | August 5, 2024 |
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