Sliding mode control based on PSO adaptive frequency decoupling for hybrid energy storage system with battery state of charge estimation

• Autorzy: Benariba Hassan , Boumediene Abdelmadjid

Identyfikatory

DOI

10.15199/48.2024.01.34

Warianty tytułu

PL

Sterowanie trybem ślizgowym w oparciu o adaptacyjne odsprzęganie częstotliwości PSO dla hybrydowego systemu magazynowania energii z oceną stanu naładowania akumulatora

• Języki publikacji: EN

Abstrakty

EN

This work investigates the frequency decoupling approach based energy management strategy for the storage system of electric vehicles composed from lithium-ion batteries and super-capacitors. The aim is to realize the high energy density output of the battery and high power density output of the super-capacitors. For that, a frequency decoupling is used to separate the low frequency content of power demand and distribute it to battery and rout its high frequencies into the super-capacitors. The cut-off frequency is adapted with PSO metaheuristic optimization algorithm. A first order sliding mode (FOSM) control of the DC bus voltage is presented. The simulation tests are effectuated to validate the effeteness of the proposed method. In final, an estimating of the state of charge SOC is introduced to determine the battery discharging capacity.

PL

W pracy tej zbadano strategię zarządzania energią opartą na podejściu odsprzęgania częstotliwości w systemie magazynowania pojazdów elektrycznych składającym się z akumulatorów litowo-jonowych i superkondensatorów. Celem jest uzyskanie dużej gęstości energii wyjściowej akumulatora i dużej gęstości mocy superkondensatorów. W tym celu stosuje się oddzielenie częstotliwości w celu oddzielenia części zapotrzebowania na energię o niskiej częstotliwości i rozdzielenia jej do akumulatora oraz skierowania wysokich częstotliwości do superkondensatorów. Częstotliwość odcięcia jest dostosowywana za pomocą metaheurystycznego algorytmu optymalizacji PSO. Przedstawiono sterowanie napięciem szyny DC w trybie ślizgowym pierwszego rzędu (FOSM). Przeprowadza się badania symulacyjne w celu sprawdzenia skuteczności zaproponowanej metody. Na koniec wprowadza się ocenę stanu naładowania SOC w celu określenia zdolności rozładowania akumulatora.

Słowa kluczowe

EN

hybrid storage system energy management; frequency decoupling; sliding mode control; electric vehicle

PL

hybrydowy system magazynowania energii; odsprzęganie częstotliwości; sterowanie trybem przesuwnym

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 1
• Strony: 165--171
• Opis fizyczny: Bibliogr. 30 poz., rys., tab.

Twórcy

autor

Benariba Hassan

• Laboratoire d’automatique de Tlemcen (LAT), Department of Electrical and Electronics Engineering, Faculty of Technology, University Abou Bekr Belkaid, Chetouane B.P 230 Tlemcen, Algeria

• https://orcid.org/0000-0003-1720-167X

autor

Boumediene Abdelmadjid

• Laboratoire d’automatique de Tlemcen (LAT), Department of Electrical and Electronics Engineering, Faculty of Technology, University Abou Bekr Belkaid, Chetouane B.P 230 Tlemcen, Algeria

• https://orcid.org/0000-0003-3244-2949

Bibliografia

• 1 Zhang, Q, Wang. L, Li, G., Liu, Y. "A real-time energy management control strategy for battery and supercapacitor hybrid energy storage systems of pure electric vehicles", Journal of Energy Storage 31(2020). https://doi.org/10.1016/j.est.2020.101721
• 2 Zhang, X., Lu, Z, Tan. CH., and Wang. Z. "Fuzzy Adaptive Filtering-Based Energy Management for Hybrid Energy Storage System", Journal of Computer Systems Science & Engineering. DOI:10.32604/csse.2021.014081. https://techscience.com/csse/v36n1/40891/html
• 3 Nguyen, H-L.T, Nguyễn, B-H, Vo-Duy. T and Trovão, J.P.F. "A Comparative Study of Adaptive Filtering Strategies for Hybrid Energy Storage Systems in Electric Vehicles", Energies 2021, 14,3373. https://doi.org/10.3390/en14123373
• 4 Castaings, W, Lhomme, R.Tr., Bouscayrol. A. "Comparison of energy management strategies of a battery/supercapacitors system for electric vehicle under real time constraints", Appl. Energy, vol. 163, pp. 190–200, Feb. 2016. https://ideas.repec.org/a/eee/appene/v163y2016icp190-200.html
• 5 Ferahtia, S., Djeroui, A., .Mesbahi, T., Houari. A., Zeghlache, S., Rezk, H., Paul, T. "Optimal Adaptive Gain LQR-Based Energy Management Strategy for Battery–Supercapacitor Hybrid Power System", Energies 2021, 14, 1660. https://doi.org/10.3390/
• 6 Xiaoliang, H., Abreu Curti, J.M., Yoichi, H. "Energy Management Strategy with Optimized Power Interface for the Battery Supercapacitor Hybrid System of Electric Vehicles", IEEE, 978-1-4799-0224-8/13/$31.00,2013. https://ieeexplore.ieee.org/document/6699883
• 7 Wang, Q., Jiang, J., Gao, T., Ren, S. "State of Charge Estimation of Li-Ion Battery Based on Adaptive Sliding Mode Observer", Sensors 2022,22, 7678 https://www.mdpi.com/1996-1073/10/8/1150
• 8 Xia, B., Zheng, W., Zhang, R., Lao, Z., Sun, Zh . "A Novel Observer for Lithium-Ion Battery State of Charge Estimation in Electric Vehicles Based on a Second-Order Equivalent Circuit Model", Energies 2017, 10, 1150 https://www.mdpi.com/1996-1073/10/8/1150
• 9 Jiang, J., Ruan, H., Zhang, C., "A simply designed and universal sliding mode observer for the SOC estimation of Lithium-ion batteries", IET Power Electron., 2017, Vol. 10 Iss. 6, pp. 697-705. https://www.researchgate.net/publication/312558387_A_simply _designed_and_universal_sliding_mode_observer_for_the_SO C_estimation_of_Lithium-ion_batteries
• 10 Woo-Yong, K., Pyeong-Yeon, L., Jonghoon, K., Kyung-Soo, K., "A Nonlinear-Model-Based Observer for a State-of-Charge Estimation of a Lithium-ion Battery in Electric Vehicles",Energies 2019, 12, 3383 https://www.mdpi.com/1996-1073/12/17/3383
• 11 Fotouhi, A., Auger D, J., Propp, K., Longo, S., "Electric vehicle battery parameter identification and SOC observability analysis: NiMH and Li-S case studies", IET Power Electronics /Volume 10, Issue 11/p. 1289-1297 https://ietresearch.onlinelibrary.wiley.com/doi/10.1049/iet-pel.2016.0777
• 12 Tian, Y., Chen, Ch., Xia, B., Sun, W., Xu, Zh., Zheng , W., "An Adaptive Gain Nonlinear Observer for State of Charge Estimation of Lithium-Ion Batteries in Electric Vehicles", Energies 2014, 7, 5995-6012. https://www.mdpi.com/1996- 1073/7/9/5995
• 13 Bouchareb, H., Saqli, K., M’Sirdi, N.K., Oudghiri, M., Naamane, A . "Sliding Mode Observer Design for Battery State of Charge estimation", REDEC’20 the International Conference on Renewable Energy for Developing Countries, Marrakech, Morocco, Mar 2020. https://hal.science/hal-02486436
• 14 Tao, F., Zhu, L., Fu, Zh., Si, P., Sun, L., "Frequency Decoupling-Based Energy Management Strategy for Fuel Cell/Battery/Ultracapacitor Hybrid Vehicle Using Fuzzy Control Method", IEEE Access,V8 , 2020. https://ieeexplore.ieee.org/document/9194728
• 15 Zhang, R., Tao, J., Zhou, H. "Fuzzy optimal energy management for fuel cell and supercapacitor systems using neural network based driving pattern recognition", IEEE Trans. Fuzzy Syst., vol. 27, no. 1, pp. 45–57, Jan. 2019. https://www.scinapse.io/papers/2884386569
• 16 Sellali, M., Betka, A., "Djerdir, A. "Power management improvement of hybrid energy storage system based on H∞ control", International Association for Mathematics and Computers in Simulation (IMACS), 2019. https://doi.org/10.1016/j.matcom.2019.05.003
• 17 Riad, A., "Optimisation d’un système de stockage hybride de l’énergie électrique avec batterie et supercondensateurs pour véhicule électrique", Thèse de doctorat, Université de Lyon; Institut National des Sciences Appliquées et de Technologie (Tunisie); Université de Carthage (Tunisie), 2018. https://theses.hal.science/tel-02021283
• 18 Florescu, A.,"Gestion optimisée des flux énergétiques dans le véhicule électrique. Energie électrique.", Thèse de doctorat, Université de Grenoble, 2012 https://theses.hal.science/tel-00798937/
• 19 Trovão, J.P., Santos, V.D.N., Pereirinha, P.G., Jorge, H.M., Henggeler Antunes, C. "Comparative Study of Different Energy Management Strategies for Dual-Source Electric Vehicles" World Electric Vehicle Journal ,Vol. 6 - ISSN 2032-6653 - © 2013. https://www.academia.edu/52959503/Comparative_study_of_di fferent_energy_management_strategies_for_dual_source_elect ric_vehicles
• 20 Rao, X., Yan, X. "Particle Swarm Optimization Algorithm Based on Information Sharing in Industry 4.0", Hindawi Wireless Communications and Mobile Computing, Article ID 4328185, 11 pages, Volume 2022 https://doi.org/10.1155/2022/4328185
• 21 Gad, A.G. "Particle Swarm Optimization Algorithm and Its Applications:A Systematic Review" , Archives of Computational Methods in Engineering (2022) 29:2531–2561. https://link.springer.com/article/10.1007/s11831-021-09694-4
• 22 Vincent, A.K., Nersisson, R. "Particle swarm optimization based PID controller tuning for level control of two tank system", IOP Conf. Series: Materials Science and Engineering 263 (2017) 052001 https://iopscience.iop.org/article/10.1088/1757- 899X/263/5/052001/pdf
• 23 Aranza, M. F ., Kustija, J., Trisno, B., Hakim, D.L. "Tunning PID controller using particle swarm optimization algorithm on automatic voltage regulator system", IOP Conf. Series: Materials Science and Engineering 128 (2016) 012038 https://iopscience.iop.org/article/10.1088/1757- 899X/128/1/012038
• 24 Maximiliano.Asensio, E., Magallán, Gu .A., De Angeloa, C.H., Serra, F.M. "Energy Management on Battery/Ultracapacitor Hybrid Energy Storage System based on Adjustable Bandwidth Filter and Sliding-mode Control", Journal of Energy Storage 30 (2020) 101569. https://www.sciencedirect.com/science/article/abs/pii/S2352152 X19318481?via%3Dihub
• 25 Nguyen, B.H., German, R., Trovao, J.P.F., Bouscayrol, A. "Real-Time Energy Management of Battery/Supercapacitor Electric Vehicles Based on an Adaptation of Pontryagin’s Minimum Principle", IEEE Transactions on Vehicular Technology, Institute of Electrical and Electronics Engineers, In press, pp.1-1. hal-01953209ff, 2018. https://hal.archives-ouvertes.fr/hal-01953209
• 26 Yaichi, I., Semmah, A., Wira, P., Djeriri, Y. "Super-twisting Sliding Mode Control of a Doubly-fed Induction Generator Based on the SVM Strategy", Periodica Polytechnica Electrical Engineering and Computer Science, 63(3), pp. 178–190, 2019 https://doi.org/10.3311/PPee.13726
• 27 Benariba, H., Boumediene, A., "A Slip Ratio Controller based on Sliding Mode Control for Electric Vehicles, ELECTROTEHNICĂ, ELECTRONICĂ, AUTOMATICĂ (EEA), vol. 64, nr. 2, 2016. http://www.eea-journal.ro/ro/d/5/p/EEA64_2_2
• 28 Dekali, Z., Baghli, L., Boumediene, A., "Improved Super Twisting Based High Order Direct Power Sliding Mode Control of a Connected DFIG Variable Speed Wind Turbine", Periodica Polytechnica Electrical Engineering and Computer Science, 65(4), pp. 352–372, 2021. https://pp.bme.hu/eecs/article/view/17989
• 29 Naifar, O., Benmakhlouf, A. "Advances in Observer Design and Observation for Nonlinear Systems", Switzerland : Springer Nature Switzerland AG, 2022 https://doi.org/10.1007/978-3- 030-92731-8
• 30 Khadar, S., Kouzou, A., Rezzaoui, M.M., Hafaifa, A., "Sensorless Control Technique of Open-End Winding Five Phase Induction Motor under Partial Stator Winding Short-Circuit", Periodica Polytechnica Electrical Engineering and Computer Science, 64(1), pp. 2–19, 2020. https://doi.org/10.3311/PPee.14306

Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).