At present, humans face the problem of lack of fuel and environmental pollution to reduce pollution as well as fuel consumption. We have to use electric vehicles, but the spread of these vehicles is still low due to the lack of charging stations as well as their high prices. This paper reviews important research about charging stations with IoT and the charging type used in these stations, and it makes a comparison between them, as well as the sources for these stations, which may be renewable and non-renewable energy. Using IoT saves the time spent by the user looking for the stations’ location with the possibility of knowing the location of charging stations by using a mobile application, as well as the possibility of placing charging stations in public places and parking stations, thus making it easier to move to the use of these new vehicles.
Cite this paper
Qahtan, M. H. , Mohammed, E. A. and Ali, A. J. (2022). Charging Station of Electric Vehicle Based on IoT: A Review. Open Access Library Journal, 9, e8791. doi: http://dx.doi.org/10.4236/oalib.1108791.
Manshadi, S.D., Khodayar, M.E., Abdelghany, K. and Uster, H. (2018) Wireless Charging of Electric Vehicles in Electricity and Transportation Networks. IEEE Transactions on Smart Grid, 9, 4503-4512.
https://doi.org/10.1109/TSG.2017.2661826
Subudhi, P.S. and Krithiga, S. (2020) Wireless Power Transfer Topologies Used for Static and Dynamic Charging of EV Battery: A Review. International Journal of Emerging Electric Power Systems, 21, Article ID: 20190151.
https://doi.org/10.1515/ijeeps-2019-0151
Rana, M.M., Xiang, W., Wang, E., Li, X. and Choi, B.J. (2018) Internet of Things Infrastructure for Wireless Power Transfer Systems. IEEE Access, 6, 19295-19303.
https://doi.org/10.1109/ACCESS.2018.2795803
Arif, S.M., Lie, T.T., Seet, B.C., Ayyadi, S. and Jensen, K. (2021) Review of Electric Vehicle Technologies, Charging Methods, Standards and Optimization Techniques. Electronics, 10, Article 1910. https://doi.org/10.3390/electronics10161910
Dost, P., Spichartz, P. and Sourkounis, C. (2015) Charging Behaviour of Users Utilising Battery Electric Vehicles and Extended Range Electric Vehicles within the Scope of a Field Test. 2015 International Conference on Renewable Energy Research and Applications, Palermo, 22-25 November 2015, 1162-1167.
https://doi.org/10.1109/ICRERA.2015.7418592
Hannan, M.A., Hoque, M.M., Hussain, A., Yusof, Y. and Ker, P.J. (2018) State-of-the-Art and Energy Management System of Lithium-Ion Batteries in Electric Vehicle Applications: Issues and Recommendations. IEEE Access, 6, 19362-19378.
https://doi.org/10.1109/ACCESS.2018.2817655
Gholizadeh, M. and Salmasi, F.R. (2014) Estimation of State of Charge, Unknown Nonlinearities, and State of Health of a Lithium-Ion Battery Based on a Comprehensive Unobservable Model. IEEE Transactions on Industrial Electronics, 61, 1335-1344. https://doi.org/10.1109/TIE.2013.2259779
Sun, F. and Xiong, R. (2015) A Novel Dual-Scale Cell State-of-Charge Estimation Approach for Series-Connected Battery Pack Used in Electric Vehicles. Journal of Power Sources, 274, 582-594. https://doi.org/10.1016/j.jpowsour.2014.10.119
Iclodean, C., Varga, B., Burnete, N., Cimerdean, D. and Jurchis, B. (2017) Comparison of Different Battery Types for Electric Vehicles. IOP Conference Series: Materials Science and Engineering, 252, Article ID: 012058.
https://doi.org/10.1088/1757-899X/252/1/012058
Wei, J., Dong, G. and Chen, Z. (2018) Lyapunov-Based State of Charge Diagnosis and Health Prognosis for Lithium-Ion Batteries. Journal of Power Sources, 397, 352-360. https://doi.org/10.1016/j.jpowsour.2018.07.024
Lu, L., Han, X., Li, J., Hua, J. and Ouyang, M. (2013) A Review on the Key Issues for Lithium-Ion Battery Management in Electric Vehicles. Journal of Power Sources, 226, 272-288. https://doi.org/10.1016/j.jpowsour.2012.10.060
Kanagachidambaresan, G.R., Anand, R., Balasubramanian, E. and Mahima, V., Eds. Internet of Things for Industry 4.0 EAI/Springer Innovations in Communication and Computing. http://www.springer.com/series/15427
Lin, C., Mu, H., Xiong, R. and Cao, J. (2017) Multi-Model Probabilities Based State Fusion Estimation Method of Lithium-Ion Battery for Electric Vehicles: State-of-Energy. Applied Energy, 194, 560-568.
https://doi.org/10.1016/j.apenergy.2016.05.065
Atzori, L., Iera, A. and Morabito, G. (2010) The Internet of Things: A Survey. Computer Networks, 54, 2787-2805. https://doi.org/10.1016/j.comnet.2010.05.010
Obaidat, M.S., Traore, I. and Woungang, I. (2018) Biometric-Based Physical and Cybersecurity Systems. Springer, Cham. https://doi.org/10.1007/978-3-319-98734-7
Cerullo, G., Mazzeo, G., Papale, G., Ragucci, B. and Sgaglione, L. (2018) IoT and Sensor Networks Security. In: Security and Resilience in Intelligent Data-Centric Systems and Communication Networks, Academic Press, Cambridge, MA, 77-101.
https://doi.org/10.1016/B978-0-12-811373-8.00004-5
Timpner, J. and Wolf, L. (2012) A Back-End System for an Autonomous Parking and Charging System for Electric Vehicles. 2012 IEEE International Electric Vehicle Conference, Greenville, SC, 4-8 March 2012, 1-8.
https://doi.org/10.1109/IEVC.2012.6183267
Bedogni, L., Bononi, L., D’Elia, A., Di Felice, M., Rondelli, S. and Cinotti, T.S. (2014) A Mobile Application to Assist Electric Vehicles’ Drivers with Charging Services. 2014 8th International Conference on Next Generation Mobile Applications, Services and Technologies, Oxford, UK, 10-12 September 2014, 78-83.
https://doi.org/10.1109/NGMAST.2014.49
Anuradha, P. and Sendhilkumar, R. (2011) Design and Implementation of Zigbee-RFID Based Vehicle Tracking. International Conference on Sustainable Energy and Intelligent Systems, Chennai, 20-22 July 2011, 689-694.
https://doi.org/10.1049/cp.2011.0451
Divyapriya, S., Amudha, A. and Vijayakumar, R. (2018) Design and Implementation of Grid Connected Solar/Wind/Diesel Generator Powered Charging Station for Electric Vehicles with Vehicle to Grid Technology Using IoT. Current Signal Transduction Therapy, 13, 59-67.
https://doi.org/10.2174/1574362413666180226111921
Patil, M. and Bhonge, V. (2013) Wireless Sensor Network and RFID for Smart Parking System. International Journal of Emerging Technology and Advanced Engineering, 3, 188-192.
http://citeseerx.ist.psu.edu/viewdoc/download?doi=10.1.1.413.7821&rep=rep1&type=pdf
Kuran, M.S., Carneiro Viana, A., Iannone, L., Kofman, D., Mermoud, G. and Vasseur, J.P. (2015) A Smart Parking Lot Management System for Scheduling the Recharging of Electric Vehicles. IEEE Transactions on Smart Grid, 6, 2942-2953.
https://doi.org/10.1109/TSG.2015.2403287
Khanna, A. and Anand, R. (2016) IoT Based Smart Parking System. 2016 International Conference on Internet of Things and Applications, Pune, India, 22-24 January 2016, 266-270. https://doi.org/10.1109/IOTA.2016.7562735
Sultanbek, A., Khassenov, A., Kanapyanov, Y., Kenzhegaliyeva, M. and Bagheri, M. (2017) Intelligent Wireless Charging Station for Electric Vehicles. 2017 International Siberian Conference on Control and Communications, Astana, 29-30 June 2017, 1-6. https://doi.org/10.1109/SIBCON.2017.7998497
Fatima, N., Natkar, A., Jagtap, P. and Choudhari, S. (2018) IOT Based Smart Car Parking System for Smart Cities. International Journal of Advance Research, Ideas and Innovations in Technology, 4, 554-556.
Kesler, M. (2019) Wireless Charging of Electric Vehicles. 2018 IEEE Wireless Power Transfer Conference, Montreal, QC, 3-7 June 2018, 1-4.
https://doi.org/10.1109/WPT.2018.8639303
Anusha, A.M.S., Anushri, G.B. and Hegde, M.D. (2019) Review Paper on Smart Parking System. International Journal of Engineering Research & Technology, 7, 1-3.
Gupta, A., Kulkarni, S., et al. (2017) Smart Car Parking Management System Using IoT. American Journal of Science, Engineering and Technology, 2, 112-119.
Panchal, C., Stegen, S. and Lu, J. (2018) Review of Static and Dynamic Wireless Electric Vehicle Charging System. Engineering Science and Technology, 21, 922-937. https://doi.org/10.1016/j.jestch.2018.06.015
Majhi, R.C., Ranjitkar, P., Sheng, M., Covic, G.A. and Wilson, D.J. (2021) A Systematic Review of Charging Infrastructure Location Problem for Electric Vehicles. Transport Reviews, 41, 432-455. https://doi.org/10.1080/01441647.2020.1854365
Niu, S., Xu, H., Sun, Z., Shao, Z.Y. and Jian, L. (2019) The State-of-the-Arts of Wireless Electric Vehicle Charging via Magnetic Resonance: Principles, Standards and Core Technologies. Renewable and Sustainable Energy Reviews, 114, Article ID: 109302. https://doi.org/10.1016/j.rser.2019.109302
Htwe, H.N., Mon, Z.Z., Mya, A. and Aung, M. (2019) Design and Implementation of IOT Based Vehicle Tracking System. International Journal of Science, Engineering and Technology Research, 8, 374-379.
https://www.academia.edu/42909622/Design_and_Implementation_of_IOT_Based_Vehicle_Tracking_System
Muralikrishnan, P. and Kalaivani, M. (2020) IOT Based Electric Vehicle Charging Station Using Arduino Uno. International Journal of Advanced Science and Technology, 29, 4101-4106.
Urooj, S., Alrowais, F., Teekaraman, Y., Manoharan, H. and Kuppusamy, R. (2021) IoT Based Electric Vehicle Application Using Boosting Algorithm for Smart Cities. Energies, 14, Article 1072. https://doi.org/10.3390/en14041072
Muni, V., Pranav, A.S. and Srinivas, A. (2020) Iot Based Smart Battery Station Using Wireless Power Transfer Technology. International Journal of Scientific & Technology Research, 9, 2876-2881.
Akila, A., Akila, E., Akila, S., Anu, K. and Elzalet, J. (2019) Charging Station for E-Vehicle Using Solar with IOT. 2019 5th International Conference on Advanced Computing & Communication Systems (ICACCS), 785-791.
Sepasi, S., Roose, L.R. and Matsuura, M.M. (2015) Extended Kalman Filter with a Fuzzy Method for Accurate Battery Pack State of Charge Estimation. Energies, 8, 5217-5233. https://doi.org/10.3390/en8065217
How, D.N.T., Hannan, M.A., Lipu, M.S.H., Sahari, K.S.M., Ker, P.J. and Muttaqi, K.M. (2020) State-of-Charge Estimation of Li-Ion Battery in Electric Vehicles: A Deep Neural Network Approach. IEEE Transactions on Industry Applications, 56, 5565-5574. https://doi.org/10.1109/TIA.2020.3004294
Meng, J., Luo, G. and Gao, F. (2016) Lithium Polymer Battery State-of-Charge Estimation Based on Adaptive Unscented Kalman Filter and Support Vector Machine. IEEE Transactions on Power Electronics, 31, 2226-2238.
https://doi.org/10.1109/TPEL.2015.2439578
Chen, J., Ouyang, Q., Xu, C. and Su, H. (2018) Neural Network-Based State of Charge Observer Design for Lithium-Ion Batteries. IEEE Transactions on Control Systems Technology, 26, 313-320. https://doi.org/10.1109/TCST.2017.2664726
Cheng, K.W.E., Divakar, B.P., Wu, H., Ding, K. and Ho, H.F. (2011) Battery-Management System (BMS) and SOC Development for Electrical Vehicles. IEEE Transactions on Vehicular Technology, 60, 76-88.
https://doi.org/10.1109/TVT.2010.2089647
Sivaraman, P. and Sharmeela, C. (2020) IoT-Based Battery Management System for Hybrid Electric Vehicle. In: Chitra, A., Sanjeevikumar, P., Holm-Nielsen, J.B. and Himavathi, S., Eds., Artificial Intelligent Techniques for Electric and Hybrid Electric Vehicles, John Wiley & Sons, Inc., Hoboken, 1-16.
https://doi.org/10.1002/9781119682035.ch1
Zhang, R., et al. (2018) State of the Art of Lithium-Ion Battery SOC Estimation for Electrical Vehicles. Energies, 11, Article 1820. https://doi.org/10.3390/en11071820
Mathew, S.A., Prakash, R. and John, P.C. (2012) A Smart Wireless Battery Monitoring System for Electric Vehicles. 2012 12th International Conference on Intelligent Systems Design and Applications (ISDA), 189-193.
Wang, J., Wang, C., Deng, H., Huang, H. and Li, L. (2020) Electric Vehicle Charging Detection and Early Warning System Based on Internet of Thing. 2020 7th International Conference on Information, Cybernetics, and Computational Social Systems (ICCSS), 650-654.
Divyapriya, S., Vijayakumar, R., et al. (2018) Design of Residential Plug-In Electric Vehicle Charging Station with Time of Use Tariff and IoT Technology. 2018 International Conference on Soft-Computing and Network Security (ICSNS), 1-5.
Savari, G.F., Krishnasamy, V., Sathik, J., Ali, Z.M. and Abdel Aleem, S.H.E. (2020) Internet of Things Based Real-Time Electric Vehicle Load Forecasting and Charging Station Recommendation. ISA Transactions, 97, 431-447.
https://doi.org/10.1016/j.isatra.2019.08.011
