Improving Electric Vehicle Autonomy in the Smart City Concept

Authors

  • Ahmed Saad Eddine Souissi Department of Industrial Engineering, College of Engineering, Northern Border University, Saudi Arabia
  • Habib Kraiem Department of Electrical Engineering, College of Engineering, Northern Border University, Saudi Arabia | Processes, Energy, Environment and Electrical Systems (Code: LR18ES34), National Engineering School of Gabes, University of Gabes, Tunisia
  • Aymen Flah Processes, Energy, Environment, and Electrical Systems (code: LR18ES34), National Engineering School of Gabes, University of Gabes, Tunisia | MEU Research Unit, Middle East University, Amman, Jordan | College of Engineering, University of Business and Technology (UBT), Jeddah 21448, Saudi Arabia | Private Higher School of Applied Sciences and Technologies of Gabes, University of Gabes, Tunisia | Applied Science Research Center, Applied Science Private University, Amman, 11931, Jordan
  • Amjad El Madani Department of Industrial Engineering, College of Engineering, Northern Border University, Saudi Arabia
Volume: 14 | Issue: 2 | Pages: 13299-13304 | April 2024 | https://doi.org/10.48084/etasr.6941

Abstract

Organizing automobiles in a city is challenging due to the sensitive data that need to be disclosed. Information that can be utilized to identify a car and provide some useful characteristics about it is among the large amount of data that can be collected from an automobile. This operation will be easier if the vehicles are placed on a specific platform based on the smart city concept. Even if sensors and cameras are installed around the roads and the city, having the vehicle information will be more useful. The current study tries to demonstrate how it is feasible to improve vehicle autonomy by initially enhancing the vehicle's energetic performance, based on the smart city idea. Intelligent control topology serves as the foundation for the exposed energy management protocol. The suggested concept is created and the associated results are displayed using the Matlab Simulink platform.

Keywords:

electric vehicle, power managment, communication, smart city, optimization, neural networks, drive cycle mode

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References

J. Javorski Eckert, L. Corrêa de Alkmin e Silva, F. Mazzariol Santiciolli, E. dos Santos Costa, F. C. Corrêa, and F. Giuseppe Dedini, "Energy storage and control optimization for an electric vehicle," International Journal of Energy Research, vol. 42, no. 11, pp. 3506–3523, 2018.

N. Mutoh and T. Inoue, "A Control Method to Charge Series-Connected Ultraelectric Double-Layer Capacitors Suitable for Photovoltaic Generation Systems Combining MPPT Control Method," IEEE Transactions on Industrial Electronics, vol. 54, no. 1, pp. 374–383, Feb. 2007.

F. Musavi, M. Edington, and W. Eberle, "Wireless power transfer: A survey of EV battery charging technologies," in 2012 IEEE Energy Conversion Congress and Exposition (ECCE), Raleigh, NC, USA, Sep. 2012, pp. 1804–1810.

Y. Cao et al., "An Optimized EV Charging Model Considering TOU Price and SOC Curve," IEEE Transactions on Smart Grid, vol. 3, no. 1, pp. 388–393, Mar. 2012.

I. W. Cox, "Electric vehicle traction control system and method," US20150005988A1, Jan. 01, 2015.

F. Un-Noor, S. Padmanaban, L. Mihet-Popa, M. N. Mollah, and E. Hossain, "A Comprehensive Study of Key Electric Vehicle (EV) Components, Technologies, Challenges, Impacts, and Future Direction of Development," Energies, vol. 10, no. 8, Aug. 2017, Art. no. 1217.

S. A. A. Tarusan, A. Jidin, M. L. M. Jamil‬, K. A. Karim, and T. Sutikno, "A review of direct torque control development in various multilevel inverter applications," International Journal of Power Electronics and Drive Systems (IJPEDS), vol. 11, no. 3, pp. 1675–1688, Sep. 2020.

T. Ahmed, H. Kada, and A. Ahmed, "New DTC strategy of multi-machines single-inverter systems for electric vehicle traction applications," International Journal of Power Electronics and Drive Systems, vol. 11, no. 2, pp. 641–650, Jun. 2020.

D. Casadei, F. Profumo, G. Serra, and A. Tani, "FOC and DTC: two viable schemes for induction motors torque control," IEEE Transactions on Power Electronics, vol. 17, no. 5, pp. 779–787, Sep. 2002.

L. Xi, X. Zhang, C. Sun, Z. Wang, X. Hou, and J. Zhang, "Intelligent Energy Management Control for Extended Range Electric Vehicles Based on Dynamic Programming and Neural Network," Energies, vol. 10, no. 11, Nov. 2017, Art. no. 1871.

M. Catak and B. Celikkaya, "Limits of Number of Motes at Smart City Scenarios for LoRaWAN," Engineering, Technology & Applied Science Research, vol. 9, no. 3, pp. 4116–4119, Jun. 2019.

A. Khadhraoui, T. Selmi, and A. Cherif, "Energy Management of a Hybrid Electric Vehicle," Engineering, Technology & Applied Science Research, vol. 12, no. 4, pp. 8916–8921, Aug. 2022.

N. T. Diep and N. K. Trung, "Transmitting Side Power Control for Dynamic Wireless Charging System of Electric Vehicles," Engineering, Technology & Applied Science Research, vol. 12, no. 4, pp. 9042–9047, Aug. 2022.

Z. Chen, C. B. Sivaparthipan, and B. Muthu, "IoT based smart and intelligent smart city energy optimization," Sustainable Energy Technologies and Assessments, vol. 49, Feb. 2022, Art. no. 101724.

L. Zhang et al., "Research on the orderly charging and discharging mechanism of electric vehicles considering travel characteristics and carbon quota," IEEE Transactions on Transportation Electrification, pp. 1–1, 2023.

K. Fahem, D. E. Chariag, and L. Sbita, "On-board bidirectional battery chargers topologies for plug-in hybrid electric vehicles," in 2017 International Conference on Green Energy Conversion Systems (GECS), Hammamet, Tunisia, Mar. 2017, pp. 1–6.

Y. Bian, Y. Zheng, W. Ren, S. E. Li, J. Wang, and K. Li, "Reducing time headway for platooning of connected vehicles via V2V communication," Transportation Research Part C: Emerging Technologies, vol. 102, pp. 87–105, May 2019.

A. Flah and C. Mahmoudi, "Design and analysis of a novel power management approach, applied on a connected vehicle as V2V, V2B/I, and V2N," International Journal of Energy Research, vol. 43, no. 13, pp. 6869–6889, 2019.

H. Kraiem et al., "Decreasing the Battery Recharge Time if Using a Fuzzy Based Power Management Loop for an Isolated Micro-Grid Farm," Sustainability, vol. 14, no. 5, Jan. 2022, Art. no. 2870.

B. R. Siddharth, D. J. Pradeep, Y. V. P. Kumar, C. P. Reddy, and A. Flah, "Dynamic performance analysis of front-wheel drive hybrid electric vehicle architectures under different real-time operating conditions," International Journal of Powertrains, vol. 11, no. 1, pp. 62–89, Jan. 2022.

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How to Cite

[1]
Souissi, A.S.E., Kraiem, H., Flah, A. and El Madani, A. 2024. Improving Electric Vehicle Autonomy in the Smart City Concept. Engineering, Technology & Applied Science Research. 14, 2 (Apr. 2024), 13299–13304. DOI:https://doi.org/10.48084/etasr.6941.

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