1. Abdelwanis, M. I. (2025). Optimizing the performance of six-phase induction motor-powered electric vehicles with fuzzy-PID and DTC. Neural Computing and Applications, 37(16), 9721-9734. [ DOI:10.1007/s00521-024-10455-0] 2. Alnaib, I. I., & Alsammak, A. N. (2025). Optimization of fractional PI controller parameters for enhanced induction motor speed control via indirect field-oriented control. Electrical Engineering & Electromechanics, (1), 3-7. [ DOI:10.20998/2074-272X.2025.1.01] 3. Amiri, F., Moradi, M. H., & Eskandari, M. (2024). Suppression of low‐frequency oscillations in hybrid/multi microgrid systems with an improved model predictive controller. IET Renewable Power Generation, 18(9-10), 1691-1709. [ DOI:10.1049/rpg2.13024] 4. Amiri, F., & Moradi, M. H. (2023). Design of a new control method for dynamic control of the two-area microgrid: F. Amiri and MH Moradi. Soft Computing, 27(10), 6727-6747. [ DOI:10.1007/s00500-022-07676-7] 5. Baidya, D., Dhopte, S., & Bhattacharjee, M. (2023). Sensing system assisted novel PID controller for efficient speed control of DC motors in electric vehicles. IEEE Sensors Letters, 7(1), 1-4. [ DOI:10.1109/LSENS.2023.3234400] 6. Chakraborty, S., Bhattacharjee, D., Basu, P., & Dan, P. (2025). A systematic review on speed control modelling for electric vehicle. Journal of Control and Decision, 12(2), 167-194. [ DOI:10.1080/23307706.2023.2245466] 7. Chantoufi, A., Derouich, A., El Ouanjli, N., Mahfoud, S., & El Idrissi, A. (2025). Improved direct torque control of doubly fed induction motor in electric vehicles using fuzzy logic controllers. E-Prime-Advances in Electrical Engineering, Electronics and Energy, 11, 100882. [ DOI:10.1016/j.prime.2024.100882] 8. Dantas, A. D. O. D. S., Dantas, A. F. O. D. A., Campos, J. T. L., de Almeida Neto, D. L., & Dórea, C. E. T. (2018). PID control for electric vehicles subject to control and speed signal constraints. Journal of Control Science and Engineering, 2018(1), 6259049. [ DOI:10.1155/2018/6259049] 9. Daisy, M., Aliabadi, M. H., Javadi, S., & Naimi, H. M. (2023). Double phase fault location in microgrids with the presence of electric vehicles and distributed parameters line model. Iranian Electric Industry Journal of Quality and Productivity, 12(1), 11-21. 10. George, M. A., Kamat, D. V., & Kurian, C. P. (2021). Electronically tunable ACO based fuzzy FOPID controller for effective speed control of electric vehicle. IEEE Access, 9, 73392-73412. [ DOI:10.1109/ACCESS.2021.3080086] 11. Gheisarnejad, M., Mirzavand, G., Ardeshiri, R. R., Andresen, B., & Khooban, M. H. (2022). Adaptive speed control of electric vehicles based on multi-agent fuzzy Q-learning. IEEE Transactions on Emerging Topics in Computational Intelligence, 7(1), 102-110. [ DOI:10.1109/TETCI.2022.3181159] 12. Intidam, A., El Fadil, H., Housny, H., El Idrissi, Z., Lassioui, A., Nady, S., & Jabal Laafou, A. (2023). Development and experimental implementation of optimized PI-ANFIS controller for speed control of a brushless DC motor in fuel cell electric vehicles. Energies, 16(11), 4395. [ DOI:10.3390/en16114395] 13. Jassim, A. A., Karam, E., & Ali, M. E. (2023). Design of optimal PID controller for electric vehicle based on particle swarm and multi-verse optimization algorithms. Engineering and Technology Journal, 41(2), 1-10. [ DOI:10.30684/etj.2023.135587.1279] 14. Kesseler, M., & Messner, T. (2026). Disconnect Systems in Battery Electric Vehicles. MTZ worldwide, 87(1), 74-79. [ DOI:10.1007/s38313-025-2135-1] 15. Kosuru, V. S. R., & Kavasseri Venkitaraman, A. (2023). Trends and challenges in electric vehicle motor drivelines-A review. International journal of electrical and computer engineering systems, 14(4), 485-495. [ DOI:10.32985/ijeces.14.4.12] 16. Kumar, V., Rana, K. P. S., & Mishra, P. (2016). Robust speed control of hybrid electric vehicle using fractional order fuzzy PD and PI controllers in cascade control loop. Journal of the Franklin Institute, 353(8), 1713-1741. [ DOI:10.1016/j.jfranklin.2016.02.018] 17. Ma, L., Cheng, C., Guo, J., Shi, B., Ding, S., & Mei, K. (2023). Direct yaw-moment control of electric vehicles based on adaptive sliding mode. Math. Biosci. Eng, 20(7), 13334-13355. [ DOI:10.3934/mbe.2023594] 18. Mirjalili, S., Mirjalili, S. M., & Lewis, A. (2014). Grey wolf optimizer. Advances in engineering software, 69, 46-61. [ DOI:10.1016/j.advengsoft.2013.12.007] 19. Naqvi, S. S. A., Jamil, H., Iqbal, N., Khan, S., Lee, D. I., Park, Y. C., & Kim, D. H. (2024). Multi-objective optimization of PI controller for BLDC motor speed control and energy saving in Electric Vehicles: A constrained swarm-based approach. Energy Reports, 12, 402-417. [ DOI:10.1016/j.egyr.2024.06.019] 20. Nivolianti, E., Karnavas, Y. L., Becker, F., Belkhier, Y., & Charpentier, J. F. (2025). Hybrid AC Shipboard Microgrid Time Delayed LFC and AVR Controllers Tuning Through Gazelle Optimization Algorithm and Real-Time HIL Implementation. IEEE Journal of Oceanic Engineering. [ DOI:10.1109/JOE.2025.3576522] 21. Oleiwi, B. K., & Mohamed, M. J. (2024). Optimal design of linear and nonlinear PID controllers for speed control of an electric vehicle. Journal of Intelligent Systems, 33(1), 20240028. [ DOI:10.1515/jisys-2024-0028] 22. Rind, S. J., Jamil, M., & Amjad, A. (2018, September). Electric motors and speed sensorless control for electric and hybrid electric vehicles: A review. In 2018 53rd International Universities Power Engineering Conference (UPEC) (pp. 1-6). IEEE. [ DOI:10.1109/UPEC.2018.8541871] 23. Shaik, Z. B., & Peddakrishna, S. (2025). Design and implementation of electric vehicle with autonomous motion and steering control system using single board computer and sensors. Results in Engineering, 25, 103995. [ DOI:10.1016/j.rineng.2025.103995] 24. Subbarao, M., Dasari, K., Duvvuri, S. S., Prasad, K. R. K. V., Narendra, B. K., & Krishna, V. M. (2024). Design, control and performance comparison of PI and ANFIS controllers for BLDC motor driven electric vehicles. Measurement: Sensors, 31, 101001. [ DOI:10.1016/j.measen.2023.101001] 25. Turcian, D., & Dolga, V. (2020, December). Intelligent speed control system for electric vehicle. In IOP Conference Series: Materials Science and Engineering (Vol. 997, No. 1, p. 012064). IOP Publishing. [ DOI:10.1088/1757-899X/997/1/012064] 26. Veysi, M., Aghaei, J., Shasadeghi, M., Razzaghi, R., Bahrani, B., & Ryan, D. J. (2020). Energy-efficient speed control of electric vehicles: Linear matrix inequality approach. IEEE Transactions on Vehicular Technology, 69(10), 10469-10483. [ DOI:10.1109/TVT.2020.3008500] 27. WU, B., & FU, P. (2022). Rotating Speed Control of Electric Vehicle During Gear Shift Process Based on Fuzzy Fractional PID. Journal of Beijing University of Technology, 48(10), 1069-1077.
|
