Electric drive vehicle based on sliding mode control technique using a 21-level asymmetrical inverter under different operating conditions
DOI:
https://doi.org/10.20998/2074-272X.2025.3.05Keywords:
asymmetric multilevel inverter, electric vehicle, permanent magnet synchronous motor, sliding mode controlAbstract
Introduction. Electric vehicles (EVs) have drawn increased attention as a possible remedy for the energy crisis and environmental issues. These days, EVs can be propelled by an extensive range of power electronics to produce the energy required for the motor and operate efficiently at high voltage levels. Multilevel inverters (MLIs) were designed to address the challenges and limitations of traditional converters .The novelty of the research that is being presented a 21-asymmetric MLI with reduced switching using pulse width modulation technique for powering electric propulsion system of EVs, with the proposed topology delivering notable enhancements in both performance and cost-efficiency compared to conventional asymmetric designs. Purpose. Improving EV performance by utilizing sliding mode control (SMC) technique for controlling a permanent magnet synchronous motor (PMSM) powered by a 21-level reduced switching inverter topology. Methods. This study focuses on assessing the feasibility of a 21-asymmetric MLI with reduced switching. This inverter utilize different input voltage levels for various components and modules, enabling the combination and subtraction of these voltages to create multiple voltage levels for use in the traction system of electric vehicles, designed to power a PMSM. The motor’s operation is controlled using SMC technique with three distinct surfaces, with consideration for the vehicle’s dynamic behavior. Results. Proved that, using a 21-asymmetric MLI to optimize the quality of the output voltage for improving the performance of the EV. The proposed topology offers a cost-effective and simple system that is easy to maintain. Practical value. To assess the effectiveness and resilience of the suggested control system, we conducted simulations using MATLAB/Simulink. Notably, the target speed adheres to the urban driving schedule in Europe, specifically the ECE-15 cycle. References 21, tables 2, figures 10.
References
Deng R., Xiang Y., Huo D., Liu Y., Huang Y., Huang C., Liu J. Exploring flexibility of electric vehicle aggregators as energy reserve. Electric Power Systems Research, 2020, vol. 184, art. no. 106305. doi: https://doi.org/10.1016/j.epsr.2020.106305.
Wang Y., John T., Xiong B. A two-level coordinated voltage control scheme of electric vehicle chargers in low-voltage distribution networks. Electric Power Systems Research, 2019, vol. 168, pp. 218-227. doi: https://doi.org/10.1016/j.epsr.2018.12.005.
Salehifar M., Moreno-Eguilaz M., Putrus G., Barras P. Simplified fault tolerant finite control set model predictive control of a five-phase inverter supplying BLDC motor in electric vehicle drive. Electric Power Systems Research, 2016, vol. 132, pp. 56-66. doi: https://doi.org/10.1016/j.epsr.2015.10.030.
Phan D., Bab-Hadiashar A., Fayyazi M., Hoseinnezhad R., Jazar R.N., Khayyam H. Interval Type 2 Fuzzy Logic Control for Energy Management of Hybrid Electric Autonomous Vehicles. IEEE Transactions on Intelligent Vehicles, 2021, vol. 6, no. 2, pp. 210-220. doi: https://doi.org/10.1109/TIV.2020.3011954.
Guezi A., Bendaikha A., Dendouga A. Direct torque control based on second order sliding mode controller for three-level inverter-fed permanent magnet synchronous motor: comparative study. Electrical Engineering & Electromechanics, 2022, no. 5, pp. 10-13. doi: https://doi.org/10.20998/2074-272X.2022.5.02.
Cai S., Kirtley J.L., Lee C.H.T. Critical Review of Direct-Drive Electrical Machine Systems for Electric and Hybrid Electric Vehicles. IEEE Transactions on Energy Conversion, 2022, vol. 37, no. 4, pp. 2657-2668. doi: https://doi.org/10.1109/TEC.2022.3197351.
Huang Z., Tang M., Golovanov D., Yang T., Herring S., Zanchetta P., Gerada C. Profiling the Eddy Current Losses Variations of High-Speed Permanent Magnet Machines in Plug-In Hybrid Electric Vehicles. IEEE Transactions on Transportation Electrification, 2022, vol. 8, no. 3, pp. 3451-3463. doi: https://doi.org/10.1109/TTE.2022.3152845.
Xu W., Junejo A.K., Liu Y., Hussien M.G., Zhu J. An Efficient Antidisturbance Sliding-Mode Speed Control Method for PMSM Drive Systems. IEEE Transactions on Power Electronics, 2021, vol. 36, no. 6, pp. 6879-6891. doi: https://doi.org/10.1109/TPEL.2020.3039474.
Chindamani M., Ravichandran C.S., Alamelumangai M. Drive Control using Multilevel Inverter for Electric Vehicle Application: A Hybrid SCSO-SNN Technique. IETE Journal of Research, 2024, vol. 70, no. 11, pp. 8232-8241. doi: https://doi.org/10.1080/03772063.2024.2378475.
Khemis A., Boutabba T., Drid S. Model reference adaptive system speed estimator based on type-1 and type-2 fuzzy logic sensorless control of electrical vehicle with electrical differential. Electrical Engineering & Electromechanics, 2023, no. 4, pp. 19-25. doi: https://doi.org/10.20998/2074-272X.2023.4.03.
Djafer L., Taleb R., Toubal Maamar A.E., Mehedi F., Mostefaoui S.A., Rekmouche H. Analysis and Experimental Implementation of SHEPWM based on Newton-Raphson Algorithm on Three-Phase Inverter using Dspace 1104. 2023 2nd International Conference on Electronics, Energy and Measurement (IC2EM), 2023, pp. 1-6. doi: https://doi.org/10.1109/IC2EM59347.2023.10419389.
Djafer L., Taleb R., Mehedi F. Dspace implementation of real-time selective harmonics elimination technique using modified carrier on three phase inverter. Electrical Engineering & Electromechanics, 2024, no. 5, pp. 28-33. doi: https://doi.org/10.20998/2074-272X.2024.5.04.
Chabni F., Taleb R., Helaimi M. ANN-based SHEPWM using a harmony search on a new multilevel inverter topology. Turkish Journal of Electrical Engineering & Computer Sciences, 2017, vol. 25, no. 6, pp. 4867-4879. doi: https://doi.org/10.3906/elk-1703-122.
Li K., Ding J., Sun X., Tian X. Overview of Sliding Mode Control Technology for Permanent Magnet Synchronous Motor System. IEEE Access, 2024, vol. 12, pp. 71685-71704. doi: https://doi.org/10.1109/ACCESS.2024.3402983.
Araria R., Berkani A., Negadi K., Marignetti F., Boudiaf M. Performance Analysis of DC-DC Converter and DTC Based Fuzzy Logic Control for Power Management in Electric Vehicle Application. Journal Européen Des Systèmes Automatisés, 2020, vol. 53, no. 1, pp. 1-9. doi: https://doi.org/10.18280/jesa.530101.
Agrawal A., Singh R., Kumar N., Singh V.P., Alotaibi M.A., Malik H., Marquez F.P.G., Hossaini M.A. Mathematical Modeling of Driving Forces of an Electric Vehicle for Sustainable Operation. IEEE Access, 2023, vol. 11, pp. 95278-95294. doi: https://doi.org/10.1109/ACCESS.2023.3309728.
Al Halabi M., Al Tarabsheh A. Modelling of Electric Vehicles Using Matlab/Simulink. SAE Technical Papers, 2020, vol. 2020-January. doi: https://doi.org/10.4271/2020-01-5086.
Abul Masrur M. Hybrid and Electric Vehicle (HEV/EV) Technologies for Off-Road Applications. Proceedings of the IEEE, 2021, vol. 109, no. 6, pp. 1077-1093. doi: https://doi.org/10.1109/JPROC.2020.3045721.
Gao H., Zhang Z., Liu Y., Huang W., Xue H. Development and Analysis of Dual Three-Phase PMSM With Phase-Shifted Hybrid Winding for Aircraft Electric Propulsion Application. IEEE Transactions on Transportation Electrification, 2024, vol. 10, no. 3, pp. 6497-6508. doi: https://doi.org/10.1109/TTE.2023.3334026.
Hu S., Liang Z., Zhang W., He X. Research on the Integration of Hybrid Energy Storage System and Dual Three-Phase PMSM Drive in EV. IEEE Transactions on Industrial Electronics, 2018, vol. 65, no. 8, pp. 6602-6611. doi: https://doi.org/10.1109/TIE.2017.2752141.
Zhang C., He J., Jia L., Xu C., Xiao Y. Virtual line‐shafting control for permanent magnet synchronous motor systems using sliding‐mode observer. IET Control Theory & Applications, 2015, vol. 9, no. 3, pp. 456-464. doi: https://doi.org/10.1049/iet-cta.2014.0477.
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Copyright (c) 2025 L. Djafer, R. Taleb, F. Mehedi, A. Aissa Bokhtache, T. Bessaad, F. Chabni, H. Saidi
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