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Optimal Power Sharing Control of the Hybrid Energy Storage System of an Electric Vehicle Along a Standard Driving Cycle Cover

Optimal Power Sharing Control of the Hybrid Energy Storage System of an Electric Vehicle Along a Standard Driving Cycle

Open Access
|Jan 2023

References

  1. [1] Chen, Q., Jiang, J., Ruan, H., and Zhang, C., “Simply Designed and Universal Sliding Mode Observer for The SOC Estimation of Lithium-Ion Batteries”, IET Power Electronics, vol. 10 Iss. 6, pp. 697–705, Jan. 2017.10.1049/iet-pel.2016.0095
  2. [2] Huang, T., and Mohan, A. S., “A Hybrid Boundary Condition for Robust Particle Swarm Optimization”, IEEE Antennas and Wireless Propagation Letters, vol. 4, pp. 112–117, Jun. 2005.10.1109/LAWP.2005.846166
  3. [3] Wang, D., Tan D., and Liu, L., “Particle Swarm Optimization Algorithm: An Overview”, Springer Link. Soft Computing, vol. 22, pp. 387–408, Jan. 2017.10.1007/s00500-016-2474-6
  4. [4] Kanglong, Y., Peiqing, L., and Hao, L., “Optimization of Hybrid Energy Storage System Control Strategy for Pure Electric Vehicle Based on Typical Driving Cycle”, Hindawi. Mathematical Problems in Engineering, vol. 2020, pp. 1–12, Jun. 2020.10.1155/2020/1365195
  5. [5] Chong, L., W., Wong, Y., W., and Rajkumar, R., K., “An Optimal Control Strategy for Standalone PV System with Battery Supercapacitor Hybrid Energy Storage System”, Elsevier. Journal of Power Sources, vol. 331, pp. 553–565, Nov. 2016.10.1016/j.jpowsour.2016.09.061
  6. [6] Ammari, C., Belatrache, D., Touhami, B., and Makhlouf, S., “Sizing, Optimization, Control and Energy Management of Hybrid Renewable Energy System — A Review”, KeAi. Energy and Built Environment, vol. 2, pp. 23–-53, Aug. 2021.
  7. [7] Romaus, C., Gathmann, K., and Böcker, J., “Optimal energy management for a hybrid energy storage system for electric vehicles based on stochastic dynamic programming”, 2010 IEEE. Vehicle Power and Propulsion Conference, pp. 1–6, Sept. 2010.10.1109/VPPC.2010.5728979
  8. [8] Vinot, E., and Trigui, R., “Optimal Energy Management of HEVs with Hybrid Storage System”, HAL open science. Energy Conversion and Management, vol. 76, pp. 437–452, Feb. 2019.10.1016/j.enconman.2013.07.065
  9. [9] Capassoa, C., Lauria, D., and Veneria, O., “Optimal Control Strategy of Ultra-Capacitors in Hybrid Energy Storage System for Electric Vehicles”, Elsevier. Energy Procedia, vol. 142, pp. 1914–1919, Aug. 2017.10.1016/j.egypro.2017.12.390
  10. [10] Sadeq, T., Wai, C., K., Morris, E., Tarbosh, Q., A., and Aydoğdu, Ö., “Optimal Control Strategy to Maximize the Performance of Hybrid Energy Storage System for Electric Vehicle Considering Topography Information”, IEEE Access, vol. 8, pp. 1–13, Nov. 2020.10.1109/ACCESS.2020.3040869
  11. [11] Chang, W. Y., “The State of Charge Estimating Methods for Battery: A Review”, Hindawi. International Scholarly Research Notices, vol. 2013, pp. 1–8, Jul. 2013.10.1155/2013/953792
  12. [12] Ye, K., and Li, P., “A New Adaptive PSO-PID Control Strategy of Hybrid Energy Storage System for Electric Vehicles”, Sage. Advances in Mechanical Engineering, vol. 12, pp. 1-15, Aug. 2020.10.1177/1687814020958574
  13. [13] Ferencz, J., Kelemen, A., and Imecs, M., “Control of an Electric Vehicle Hybrid Energy Storage System”, Sciendo, Papers on Technical Science, vol. 14, pp. 77-88, Aug. 2021.10.33894/mtk-2021.14.12
  14. [14] Paul, T., Mesbahi, T., and Durand, S., “Sizing of Lithium-Ion Battery/Supercapacitor Hybrid Energy Storage System for Forklift Vehicle”, Energies, vol. 13, pp. 1-18, Sep. 2020.10.3390/en13174518
  15. [15] Borgulya, I., “Optimalizálás Evolúciós Számításokkal”, Typotex Kiadó Budapest, 2011.
  16. [16] Ferencz, J., and Kelemen, A., „Particle Swarm Optimization of a Hybrid Energy Storage System”, Acta Universitatis Sapientiae, Electrical and Mechanical Engineering, vol. 13, pp. 82-100, Dec. 2021.10.2478/auseme-2021-0007
  17. [17] Ferencz, J., Kelemen, A., and Imecs, M., “Particle Swarm Optimization of an Electric Vehicle Hybrid Energy Storage System”, ANNALS of Faculty Engineering Hunedoara, International Journal of Engineering, vol. 20, pp. 23-30, Aug. 2022.
  18. [18] Das, S., Abraham, A., and Konar, A., “Particle Swarm Optimization and Differential Evolution Algorithms: Technical Analysis, Applications and Hybridization Perspectives”, International Journal of Computational Intelligence Studies, vol. 116, pp. 1-38, May. 2008.10.1007/978-3-540-78297-1_1
  19. [19] Tharwat, A., Gaber, T., Hassanien, AE., and Elnaghi, BE., “Handbook of Research on Machine Learning Innovations and Trends”, publisher: IGI Global, pp. 614-635, 2017.10.4018/978-1-5225-2229-4.ch026
  20. [20] Barlow, TJ., Latham, S., McCrae, IS., and Boulter, PG, “A reference book of driving cycles for use in the measurement of road vehicle emissions”, publisher: IHS, pp. 7-13, Jun. 2009.
Language: English
Page range: 50 - 64
Submitted on: Oct 15, 2022
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Accepted on: Dec 6, 2022
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Published on: Jan 5, 2023
In partnership with: Paradigm Publishing Services
Publication frequency: 1 issue per year

© 2023 János Ferencz, András Kelemen, Mária Imecs, published by Sapientia Hungarian University of Transylvania
This work is licensed under the Creative Commons Attribution-NonCommercial-NoDerivatives 4.0 License.