Synergizing Edge Computing With Energy Storage and Grid Integration in Electric Vehicles
G. Shashibhushan, Krishnaiah Narukulla, H. Joseph Prabhakar Williams, G. Manjula, D R Ganesh, Sangeeta Singh · Advances in mechatronics and mechanical engineering (AMME) book series · 2024
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.