Enhancing Low-Pass Filter Energy Management with Adaptive State of Charge Limiter for Hybrid Energy Storage in Electric Vehicles

Document Type : Original Article

Authors

1 Department of Electrical and Information Engineering, Universitas Gadjah Mada, Yogyakarta, Indonesia

2 Department of Electrical Engineering, Universitas Sebelas Maret, Surakarta, Indonesia

Abstract

Electric vehicles (EVs) have become a vital solution for environmental transportation; however, challenges related to battery life and power density persist. In pursuit of enhanced EV performance and cost-effectiveness, researchers advocate for Hybrid Energy Storage Systems (HESS), integrating various Energy Storage Systems (ESS). An efficient Energy Management Strategy (EMS) is crucial for optimal power distribution within the HESS. This study introduces a real-time, simple, and practical EMS using a low-pass filter (LPF). However, the LPF lacks State of Charge (SoC) control, necessitating the addition of a SoC Limiter. The static SoC Limiter, while effective, faces challenges in predicting peak loads, leading to suboptimal power-sharing performance. To address this limitation, LPF with Adaptive SoC Limiter (LPF-ASL) is proposed. The LPF-ASL accommodates the peak load by saving some portion of supercapacitor (SC) power for peak load. In an unpredictable initial SC SoC test, LPF-ASL achieves substantial reductions in maximum battery current compared to LPF and Fuzzy Logic Control (FLC) by up to 21.30% and 21.14%, respectively. This underscores the effectiveness of LPF-ASL in optimizing battery life and enhancing power distribution within HESS-equipped EVs.

Graphical Abstract

Enhancing Low-Pass Filter Energy Management with Adaptive State of Charge Limiter for Hybrid Energy Storage in Electric Vehicles

Keywords

Main Subjects

References

  1. Bedewy BAH, Al-Timimy SRA. Estimate suitable location of solar power plants distribution by GIS spatial analysis. Civil Engineering Journal. 2023;9(5):1217-29. https://doi.org/10.28991/CEJ-2023-09-05-013
  2. Ihsan B, Hamdani D, Hariyanto N. Pengaruh Strategi Pengisian Daya Terhadap Kenaikan Beban Puncak Akibat Penetrasi Kendaraan Listrik. Jurnal Nasional Teknik Elektro dan Teknologi Informasi. 2020;9(3):311-8. https://doi.org/10.22146/.v9i3.363
  3. Sadeq T, Wai CK, Morris E, Tarbosh QA, Aydoğdu Ö. Optimal control strategy to maximize the performance of hybrid energy storage system for electric vehicle considering topography information. IEEE Access. 2020;8:216994-7007. https://doi.org/10.1109/ACCESS.2020.3040869
  4. Günther S, Weber L, Bensmann AL, Hanke-Rauschenbach R. Structured analysis and review of filter-based control strategies for hybrid energy storage systems. IEEE Access. 2022;10:126269-84. https://doi.org/10.1109/ACCESS.2022.3226261
  5. Hemmati R, Saboori H. Emergence of hybrid energy storage systems in renewable energy and transport applications–A review. Renewable and Sustainable Energy Reviews. 2016;65:11-23. http://doi.org/10.1016/j.rser.2016.06.029
  6. Tarassodi P, Adabi J, Rezanejad M. Energy Management of an Integrated PV/Battery/Electric Vehicles Energy System Interfaced by a Multi-port Converter. International Journal of Engineering. 2023;36(8):1520-31. https://doi.org/10.5829/ije.2023.36.08b.12
  7. Mohammadian M, Rouholamini M. Grid-price-dependent energy management of a building supplied by a multisource system integrated with hydrogen. International Journal of Engineering. 2016;29(1):40-8. https://doi.org/10.5829/idosi.ije.2016.29.01a.06
  8. Saadat Foumani M, Delkhosh M. Modification of equivalent consumption minimization strategy for a hybrid electric vehicle. International Journal of Engineering, Transactions C: Aspects,. 2016;29(12):1757-64. https://doi.org/10.5829/idosi.ije.2016.29.12c.15
  9. Tran D-D, Vafaeipour M, El Baghdadi M, Barrero R, Van Mierlo J, Hegazy O. Thorough state-of-the-art analysis of electric and hybrid vehicle powertrains: Topologies and integrated energy management strategies. Renewable and Sustainable Energy Reviews. 2020;119:109596. https://doi.org/10.1016/j.rser.2019.109596
  10. Gautam AK, Tariq M, Pandey JP, Verma KS, Urooj S. Hybrid sources powered electric vehicle configuration and integrated optimal power management strategy. IEEE Access. 2022;10:121684-711. https://doi.org/10.1109/ACCESS.2022.3217771
  11. Ehsani M, Singh KV, Bansal HO, Mehrjardi RT. State of the art and trends in electric and hybrid electric vehicles. Proceedings of the IEEE. 2021;109(6):967-84. https://doi.org/10.1109/JPROC.2021.3072788
  12. Mohammed AS, Atnaw SM, Salau AO, Eneh JN. Review of optimal sizing and power management strategies for fuel cell/battery/super capacitor hybrid electric vehicles. Energy Reports. 2023;9:2213-28. https://doi.org/10.1016/j.egyr.2023.01.042
  13. Xu N, Kong Y, Chu L, Ju H, Yang Z, Xu Z, et al. Towards a smarter energy management system for hybrid vehicles: A comprehensive review of control strategies. Applied Sciences. 2019;9(10):2026. https://doi.org/10.3390/app9102026
  14. Teng T, Zhang X, Dong H, Xue Q. A comprehensive review of energy management optimization strategies for fuel cell passenger vehicle. International Journal of Hydrogen Energy. 2020;45(39):20293-303. https://doi.org/10.1016/j.ijhydene.2019.12.202
  15. Delkhosh M, Saadat Foumani M, Lashgarian Azad N. A New Framework for Advancement of Power Management Strategies in Hybrid Electric Vehicles. International Journal of Engineering, Transactions C: Aspects,. 2020;33(3):468-76. https://doi.org/10.5829/ije.2020.33.03c.11
  16. Asensio EM, Magallan GA, De Angelo CH, Serra FM. Energy management on battery/ultracapacitor hybrid energy storage system based on adjustable bandwidth filter and sliding-mode control. Journal of Energy Storage. 2020;30:101569. https://doi.org/10.1016/j.est.2020.101569
  17. Jiao Y, Månsson D. A study of the energy exchange within a hybrid energy storage system and a comparison of the capacities, lifetimes, and costs of different systems. Energies. 2021;14(21):7045. https://doi.org/10.3390/en14217045
  18. Ramos GA, Costa-Castelló R. Energy management strategies for hybrid energy storage systems based on filter control: Analysis and comparison. Electronics. 2022;11(10):1631. https://doi.org/10.3390/electronics11101631
  19. Tao F, Zhu L, Fu Z, Si P, Sun L. Frequency decoupling-based energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle using fuzzy control method. IEEE Access. 2020;8:166491-502. https://doi.org/10.1109/ACCESS.2020.3023470
  20. Traoré B, Doumiati M, Morel C, Olivier J-C, Soumaoro O, editors. New energy management algorithm based on filtering for electrical losses minimization in Battery-Ultracapacitor electric vehicles. 2020 22nd European Conference on Power Electronics and Applications (EPE'20 ECCE Europe); 2020: IEEE.
  21. Snoussi J, Ben Elghali S, Benbouzid M, Mimouni MF. Auto-adaptive filtering-based energy management strategy for fuel cell hybrid electric vehicles. Energies. 2018;11(8):2118. https://doi.org/10.3390/en11082118
  22. Maghfiroh H, Wahyunggoro O, Cahyadi AI. Optimizing Low Pass Filter Cut-off Frequency for Energy Management in Electric Vehicles with Hybrid Energy Storage Systems. Mathematical Modelling of Engineering Problems. 2023;10(5). https://doi.org/10.18280/mmep.100539
  23. Dang QB, Dinh AV, Vo-Duy T, Ta MC, editors. An energy management system based on fuzzy-lpf for hess of electric vehicles. 2019 IEEE Vehicle Power and Propulsion Conference (VPPC); 2019: IEEE.
  24. Dang QB, Ngoc ND, Phuong VH, Ta MC, editors. Implementation of frequency-approach-based energy management for EVs using typhoon HIL402. 2019 IEEE Vehicle Power and Propulsion Conference (VPPC); 2019: IEEE.
  25. Salari O, Zaad KH, Bakhshai A, Jain P, editors. Filter design for energy management control of hybrid energy storage systems in electric vehicles. 2018 9th IEEE International Symposium on Power Electronics for Distributed Generation Systems (PEDG); 2018: IEEE.
  26. Panda A, Mishra MK, editors. Power management of hybrid storage using rule based adaptive filtering in electric vehicle. 2022 IEEE International Conference on Power Electronics, Smart Grid, and Renewable Energy (PESGRE); 2022: IEEE.
  27. Kimura R, Kondo K, Aiso K, Kobayashi H, Sakamoto S, Okada A, et al., editors. A Method to Design A Power Flow and Energy Management Controller for Battery and EDLC Hybrid Electric Vehicle. 2021 IEEE 30th International Symposium on Industrial Electronics (ISIE); 2021: IEEE.
  28. Huang J, Huang Z, Wu Y, Liao H, Liu Y, Li H, et al., editors. Optimal filter-based energy management for hybrid energy storage systems with energy consumption minimization. 2020 IEEE International Conference on Systems, Man, and Cybernetics (SMC); 2020: IEEE.
  29. El Aoumari A, Oaudi H, editors. Optimization of hybrid energy management for HTE vehicles. IECON 2021–47th Annual Conference of the IEEE Industrial Electronics Society; 2021: IEEE.
  30. Zhang X, Lu Z, Tan C, Wang Z. Fuzzy Adaptive Filtering-Based Energy Management for Hybrid Energy Storage System. Computer Systems Science & Engineering. 2021;36(1). https://doi.org/10.32604/csse.2021.014081
  31. Liao H, Peng J, Wu Y, Li H, Zhou Y, Zhang X, et al. Adaptive split-frequency quantitative power allocation for hybrid energy storage systems. IEEE Transactions on Transportation Electrification. 2021;7(4):2306-17. https://doi.org/10.1109/TTE.2021.3070849
  32. Syahbana DF, Trilaksono BR, editors. MPC and filtering-based energy management in fuel cell/battery/supercapacitor hybrid source. 2019 International Conference on Electrical Engineering and Informatics (ICEEI); 2019: IEEE.
  33. Snoussi J, Elghali SB, Mimouni MF, editors. Sizing and control of onboard multisource power system for electric vehicle. 2019 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering (STA); 2019: IEEE.
  34. Yi F, Lu D, Wang X, Pan C, Tao Y, Zhou J, et al. Energy management strategy for hybrid energy storage electric vehicles based on pontryagin’s minimum principle considering battery degradation. Sustainability. 2022;14(3):1214. https://doi.org/10.3390/su14031214
  35. Michalczuk M, Ufnalski B, Grzesiak LM. Fuzzy logic based power management strategy using topographic data for an electric vehicle with a battery-ultracapacitor energy storage. COMPEL: The International Journal for Computation and Mathematics in Electrical and Electronic Engineering. 2015;34(1):173-88. https://doi.org/10.1108/COMPEL-11-2013-0388
  36. Onori S, Serrao L, Rizzoni G. Hybrid electric vehicles: Energy management strategies: Springer; 2016.
  37. Tremblay O, Dessaint L-A. Experimental validation of a battery dynamic model for EV applications. World electric vehicle journal. 2009;3(2):289-98. https://doi.org/10.3390/wevj3020289
  38. Miniguano H, Barrado A, Fernández C, Zumel P, Lázaro A. A general parameter identification procedure used for the comparative study of supercapacitors models. Energies. 2019;12(9):1776. https://doi.org/10.3390/en12091776
  39. Hussain S, Ali MU, Park G-S, Nengroo SH, Khan MA, Kim H-J. A real-time bi-adaptive controller-based energy management system for battery–supercapacitor hybrid electric vehicles. Energies. 2019;12(24):4662. https://doi.org/10.3390/en12244662
  40. Maghfiroh H, Hermanu C, Ibrahim MH, Anwar M, Ramelan A. Hybrid fuzzy-PID like optimal control to reduce energy consumption. TELKOMNIKA (Telecommunication Computing Electronics and Control). 2020;18(4):2053-61. http://doi.org/10.12928/telkomnika.v18i4.14535
  41. Lin C, Luo W, Lan H, Hu C. Research on Multi-Objective Compound Energy Management Strategy Based on Fuzzy Control for FCHEV. Energies. 2022;15(5):1721. https://doi.org/10.3390/en15051721
  42. Najjaran S, Rahmani Z, Hassanzadeh M. Fuzzy predictive control strategy for plug-in hybrid electric vehicles over multiple driving cycles. International Journal of Dynamics and Control. 2022;10(3):930-41. https://doi.org/10.1007/s40435-021-00862-9
  43. Suhail M, Akhtar I, Kirmani S, Jameel M. Development of progressive fuzzy logic and ANFIS control for energy management of plug-in hybrid electric vehicle. Ieee Access. 2021;9:62219-31. https://doi.org/10.1109/ACCESS.2021.3073862
  44. Krithika V, Subramani C. A comprehensive review on choice of hybrid vehicles and power converters, control strategies for hybrid electric vehicles. International journal of energy research. 2018;42(5):1789-812. https://doi.org/10.1002/er.3952
  45. Geetha A, Subramani C. A comprehensive review on energy management strategies of hybrid energy storage system for electric vehicles. International Journal of Energy Research. 2017;41(13):1817-34. https://doi.org/10.1002/er
  46. Huang Y, Wang H, Khajepour A, Li B, Ji J, Zhao K, et al. A review of power management strategies and component sizing methods for hybrid vehicles. Renewable and Sustainable Energy Reviews. 2018;96:132-44. https://doi.org/10.1016/j.rser.2018.07.020
  47. DiselNet ETC. Worldwide harmonized light vehicles test cycle (WLTC). 2019.
  48. Maghfiroh H, Wahyunggoro O, Cahyadi AI. Novel iterative Ragone plot-based optimization of low pass filter for hybrid power sources electric vehicles. e-Prime-Advances in Electrical Engineering, Electronics and Energy. 2024;7:100389. https://doi.org/10.1016/j.prime.2023.100389
International Journal of Engineering
Volume 37, Issue 8
TRANSACTIONS B: Applications
August 2024
Pages 1486-1499

Files

Share

How to cite

Statistics