An Optimal Cloud Based Electric Vehicle Charging System
DOI:
https://doi.org/10.18034/apjee.v8i2.604Keywords:
Electric vehicles, Cloud Computing, Cloud Charging, Load ManagementAbstract
With the evolution of the internet-of-things and the emergence of cloud computing, the charging dynamics of vehicles have changed. This work discusses cloud-based monitoring and management used in charging electric vehicles and their impact on the smart charging system. Charging management plays a key role in assessing the charging infrastructure because of the automakers and charging service providers. As the market evolves, this system looks at the present public and private sectors that provide charging stations and contrasts them with modern cloud-based charging in electric vehicles. The cloud module developed contains layers, with the top layer of the robust calculating ability, which is globally optimized using machine learning technology. The bottom layer counters the real-time issues with the controller. The system also analyzes the current demands in the market and forms strategies to maximize profits through smart charging systems.
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Azam, M. A., Mittelmann, H. D., & Ragi, S. (2021). UAV Formation Shape Control via Decentralized Markov Decision Processes. Algorithms, 14(3), 91. https://doi.org/10.3390/a14030091 DOI: https://doi.org/10.3390/a14030091
Chen, Y. W., & Chang, J. M. (2018). Fair Demand Response with Electric Vehicles for the Cloud Based Energy Management Service. IEEE Transactions on Smart Grid, 9(1), 458–468. https://doi.org/10.1109/tsg.2016.2609738 DOI: https://doi.org/10.1109/TSG.2016.2609738
Chimakurthi, V. N. S. S. (2017). Cloud Security - A Semantic Approach in End to End Security Compliance. Engineering International, 5(2), 97-106. https://doi.org/10.18034/ei.v5i2.586 DOI: https://doi.org/10.18034/ei.v5i2.586
Chimakurthi, V. N. S. S. (2020). Digital Asset Management in the Communication of Product Promotional Activities. Asian Business Review, 10(3), 177-186. https://doi.org/10.18034/abr.v10i3.587 DOI: https://doi.org/10.18034/abr.v10i3.587
Choma, E. F., Evans, J. S., Hammitt, J. K., Gómez-Ibáñez, J. A., & Spengler, J. D. (2020). Assessing the health impacts of electric vehicles through air pollution in the United States. Environment International, 144, 106015. https://doi.org/10.1016/j.envint.2020.106015 DOI: https://doi.org/10.1016/j.envint.2020.106015
Efthymiou, D., Chrysostomou, K., Morfoulaki, M., & Aifantopoulou, G. (2017). Electric vehicles charging infrastructure location: a genetic algorithm approach. European Transport Research Review, 9(2). https://doi.org/10.1007/s12544-017-0239-7 DOI: https://doi.org/10.1007/s12544-017-0239-7
Hossen, M. A., Diwakar, P. K. & Ragi, S. (2021). Total nitrogen estimation in agricultural soils via aerial multispectral imaging and LIBS. Scientific Reports, 11, 12693. https://doi.org/10.1038/s41598-021-90624-6 DOI: https://doi.org/10.1038/s41598-021-90624-6
Hossen, M. A., Zahir, E., Ata-E-Rabbi, H. M., Azam, M. A., and Rahman, M. H. (2021). Developing a Mobile Automated Medical Assistant for Hospitals in Bangladesh. 2021 IEEE World AI IoT Congress (AIIoT), 0366-0372, https://doi.org/10.1109/AIIoT52608.2021.9454236 DOI: https://doi.org/10.1109/AIIoT52608.2021.9454236
Khayyam, H., Abawajy, J., Javadi, B., Goscinski, A., Stojcevski, A., & Bab-Hadiashar, A. (2013). Intelligent battery energy management and control for vehicle-to-grid via cloud computing network. Applied Energy, 111, 971–981. https://doi.org/10.1016/j.apenergy.2013.06.021 DOI: https://doi.org/10.1016/j.apenergy.2013.06.021
Litzlbauer, M. (2012). Grid integration of electric vehicles considering the mobility needs. World Electric Vehicle Journal, 5(3), 629–634. https://doi.org/10.3390/wevj503062 DOI: https://doi.org/10.3390/wevj5030629
Manavalan, M., & Chisty, N. M. A. (2019). Visualizing the Impact of Cyberattacks on Web-Based Transactions on Large-Scale Data and Knowledge-Based Systems. Engineering International, 7(2), 95-104. https://doi.org/10.18034/ei.v7i2.578 DOI: https://doi.org/10.18034/ei.v7i2.578
Mierau, M., Fey, S., Kohrs, R., & Wittwer, C. (2013). Communication Solutions for a Cloud-Based Charging Management System for a Fleet of Shared-Use Electric Vehicles. World Electric Vehicle Journal, 6(4), 1125–1135. https://doi.org/10.3390/wevj6041125 DOI: https://doi.org/10.3390/wevj6041125
Saqib, M., Hussain, M. M., Alam, M. S., Beg, M. M. S., & Sawant, A. (2017). Smart Electric Vehicle Charging Through Cloud Monitoring and Management. Technology and Economics of Smart Grids and Sustainable Energy, 2(1). https://doi.org/10.1007/s40866-017-0035-4 DOI: https://doi.org/10.1007/s40866-017-0035-4
Yan, Z. (2016). Research on Mobile Cloud Computing Services for Electric Vehicle Charging Facilities. International Journal of Grid and Distributed Computing, 9(7), 225–236. https://doi.org/10.14257/ijgdc.2016.9.7.23 DOI: https://doi.org/10.14257/ijgdc.2016.9.7.23
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