Authors: Vivek Saindane, Kashish Kazi, Shraddha Bute, Saher Raje, Sushama Punde, Devyani Sharma
Abstract: The rapid growth of electric vehicles (EVs) is stressing the need for intelligent, scalable charging infrastructure. This survey of 18 IEEE studies (from 2020–2025) examines cloud- and edge-enabled EV charging station location and booking systems. We chronologically synthesize each work, highlighting methods (e.g. mixed-integer programming, metaheuristics, game theory, digital twins, block chain, and privacy-preserving algorithms) and key findings. Gaps emerge in integrated reservation models, dynamic spatio-temporal demand, and user privacy. We identify research needs such as privacy-aware locators, real-time scheduling, and cloud-edge architectures. We propose illustrative system designs and mixed-integer models (for station placement and reservation scheduling) and offer design suggestions for future EV locator/booking platforms. These contributions lay the groundwork for dynamic optimization and secure, user-centric EV charging services.
DOI: http://doi.org/10.5281/zenodo.20757358
