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Synergizing Edge Computing With Energy Storage and Grid Integration in Electric Vehicles
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Author(s): G. Shashibhushan (Department of Electronics and Communication Engineering, Sir M. Visvesvaraya Institute of Technology, Bengaluru, India), Krishnaiah Narukulla (Independent Researcher, USA), H. Joseph Prabhakar Williams (Electronics and Communication Engineering, Sri Indu College of Engineering and Technology (Autonomous), Hyderabad, India), G. Manjula (Department of Computer Science and Engineering, BGS College of Engineering and Technology, Bangaluru, India), D. R. Ganesh (School of Computing and Information Technology, REVA University, Bengaluru, India)and Sangeeta Singh (Department of Electrical Engineering, JSS Academy of Technical Education, Noida, India)
Copyright: 2024
Pages: 31
Source title:
Solving Fundamental Challenges of Electric Vehicles
Source Author(s)/Editor(s): Mazhar Hussain Shaik (Middle East College, Oman)
DOI: 10.4018/979-8-3693-4314-2.ch014
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Abstract
The automotive and energy industries will undergo a revolution with the integration of edge computing, energy storage systems, and grid integration in electric vehicles (EVs) to improve efficiency and sustainability. In electric vehicles (EVs), edge computing improves data processing by cutting down on latency and bandwidth utilization, allowing for real-time energy management decision-making, and optimizing battery consumption and energy distribution. Energy storage systems (ESS), which provide flexibility and bidirectional flow, are essential for EV energy management. V2G technology supports grid stability and streamlines energy exchange procedures by integrating ESS with grid infrastructure. In this chapter, the strategic advantages of edge computing and grid integration in ESS for EVs are examined, with an emphasis on practical applications' cost savings, environmental effects, and operational efficiency.
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