MUMBAI, India, Sept. 22 -- Intellectual Property India has published a patent application (202641105618 A) filed by Meenakshi Sundararajan Engineering College on September 02, 2026, for Cyber Resilient Self Healing V2g Ecosystem With Battery Degradation Compensation And 6g Edge Coorina.
Inventors include Sabari S; Dr R Maya; Rajeswari K; Dr R Mahalakshmi; Nadhia C; Angelin Stefi A; Hamsavalli N; Irfana I; Shanmathi R V; Sivasubramaniyan S B; Bhasker K; and Chintala Venkatesh.
The application for the patent was published on September 18, 2026, under issue no. 38/2026.
Abstract: Nowadays, with the emergence of the electric vehicle (EV), there is an increasing need to manage energy in a smart way so that the battery can be charged and discharged efficiently. However, Vehicle-to-Grid (V2G) enables bidirectional energy flow but incurs a significant risk of battery degradation, cybersecurity threats, latency, and grid fragility. Prior works have not addressed these aspects in a holistic manner. This project presents a Cyber-Resilient Self-Healing V2G Ecosystem with Battery Degradation Compensation and 6G Edge Coordination that utilizes battery degradation compensation, cybersecurity, self-healing mechanisms, and 6G-edge coordination capabilities. The proposed framework aims to enhance the reliability and responsiveness of the V2G system while facilitating effective •battery degradation management. Finally, a prototype was designed and implemented using ESP32, Raspberry Pi, ACS712, ZMPT101B, DS18B20, relay, OLED display, smart meter, lithium-ion battery, and Wi-Fi. The proposed work offers a secure and reliable framework for enabling bidirectional power flow between EVs and the power grid while mitigating the risks of battery degradation, cybersecurity threats, grid instability, and latency. The work has significant implications for smart grids, energy management systems, EV charging stations, renewable energy, smart cities, and microgrids. Keywords - Vehicle-to-Grid (V2G); Battery Degradation; Cybersecurity; Self-Healing; Edge Computing; Electric Vehicles; Smart Grid.
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