Bidirectional EV Charging in Smart Grids Technologies and AI Applications
Year: 2026
Type: conference-paper
Abstract: The rapid global adoption of electric vehicles (EVs) is transforming traditional transportation systems and significantly impacting modern electrical grids. As the number of EVs increases, so does their potential to both stress and support power networks. This dual nature introduces a need for smart grid technologies capable of handling variable and high power demands. One transformative solution is bidirectional charging, where EVs not only draw power from the grid but also supply it back, enabling services such as frequency regulation, voltage control, demand response, and renewable energy integration. When combined with Artificial Intelligence (AI), these systems can be optimized for real-time control, predictive maintenance, dynamic pricing, and enhanced cybersecurity. This paper provides a comprehensive review of how bidirectional EV charging and AI are shaping the evolution of the smart grid. It discusses key opportunities, such as grid flexibility and decarbonization, and examines associated challenges, including battery degradation, interoperability, and regulatory constraints. The paper also highlights current research findings and outlines future directions for achieving a sustainable, intelligent, and resilient energy ecosystem powered by EVs and smart grid innovations.
Institution: Visvesvaraya National Institute of Technology
Language: English
Subfield: Electrical and Electronic Engineering
Field: Engineering
Domain: Physical Sciences
Open Access status: hybrid
OpenAlex ID: W7213402180