2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS) (2015)
Dec. 11, 2015 to Dec. 13, 2015
DOI Bookmark: http://doi.ieeecomputersociety.org/10.1109/DSDIS.2015.41
This paper focuses on providing an automatic and efficient electric vehicles (EVs) charging management system (CMS) by exploiting the benefits of Internet of Things (IoT) technology in offering the ubiquitous perception abilities and a real-time interactive view of the physical world by various sensors and radio devices. An improved decentralized charging scheme is also proposed to coordinate the charging of large-scale EVs in multiple residential buildings by leveraging the distributed optimization capability of alternating direction method of multiplier (ADMM). Extensive studies revealed that the proposed work outperforms two other compared decentralized methods by producing higher final mean state-of-charge (SOC) levels to the connected EVs and incurring less electricity bill paid to the utility. Furthermore, the proposed charging scheme is proven better than the centralized approach because of its ability to consume lower communication overhead and offer better robustness in preserving the user privacy.
Logic gates, Buildings, Architecture, Schedules, Sensors, Internet of things, Electric vehicles
L. Yao, Y. Chen and W. H. Lim, "Internet of Things for Electric Vehicle: An Improved Decentralized Charging Scheme," 2015 IEEE International Conference on Data Science and Data Intensive Systems (DSDIS), Sydney, Australia, 2015, pp. 651-658.