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Abstract

The transportation sector contributes up to 35% of carbon dioxide pollution. Electric Vehicles (EVs) offer a pollution-free alternative but face a crucial challenge in their battery-based Energy Storage System (ESS). The solution to the battery issues is combining it with other ESS with high power density called a Hybrid Energy Storage System (HESS). Energy Management Strategy (EMS) is used to distribute the power demand in the HESS. Low Pass Filters (LPFs) are one type of EMS that can be used to ensure the smooth flow of power between different energy storage elements. This article focuses on the pivotal role of Low Pass Filters (LPFs) within HESS for EVs, facilitating seamless power flow. The novelty lies in the comprehensive review of LPFs in this context, shedding light on their impact on energy management. Four LPF architecture classes are discussed: fixed cut-off, optimal cut-off, adaptive cut-off, and combination, referencing prior research. Additionally, a critical examination of challenges and limitations is provided, offering insights for researchers and practitioners.

Keywords

Energy management Electric vehicle Hybrid sources Filter

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This work is licensed under a Creative Commons Attribution-NonCommercial 4.0 International License.

References

  1. S. Verma, S. Mishra, A. Gaur, and S. Chowdhury, “A comprehensive review on energy storage in hybrid electric vehicle,” Journal of Traffic and Transportation Engineering (English Edition), vol. 8, no. 5, pp. 621–637, 2020, doi: https://doi.org/10.1016/j.jtte.2021.09.001.
  2. E. M. Asensio, G. A. Magallán, C. H. De Angelo, and F. M. Serra, “Energy Management on Battery/Ultracapacitor Hybrid Energy Storage System based on Adjustable Bandwidth Filter and Sliding-mode Control,” Journal of Energy Storage, vol. 30, no. December 2019, p. 101569, 2020, doi: https://doi.org/10.1016/j.est.2020.101569.
  3. R. Ostadian, J. Ramoul, A. Biswas, and A. Emadi, “Intelligent Energy Management Systems for Electrified Vehicles: Current Status, Challenges, and Emerging Trends,” IEEE Open Journal of Vehicular Technology, vol. 1, no. July, pp. 279–295, 2020, doi: 10.1109/OJVT.2020.3018146.
  4. B. Ihsan, D. Hamdani, and N. Hariyanto, “Charging Strategy Effect on Peak Load Increase Due to Electric Vehicle Penetration,” Jurnal Nasional Teknik Elektro dan Teknologi Informasi, vol. 9, no. 3, pp. 311–318, 2020, doi: 10.22146/.v9i3.363.
  5. G. Ren et al., “Review of energy storage technologies for extended range electric vehicle,” Journal of Applied Science and Engineering, vol. 22, no. 1, pp. 69–82, 2019, doi: https://doi.org/10.6180/jase.201903_22(1).0008.
  6. Y. M. Alkhulaifi, N. A. A. Qasem, and S. M. Zubair, “Improving the performance of thermal management system for electric and hybrid electric vehicles by adding an ejector,” Energy Conversion and Management, vol. 201, no. July, 2019, doi: 10.1016/j.enconman.2019.112133.
  7. Y. Wu, Y. Zhang, G. Li, J. Shen, Z. Chen, and Y. Liu, “A predictive energy management strategy for multi-mode plug-in hybrid electric vehicles based on multi neural networks,” Energy, vol. 208, p. 118366, 2020, doi: 10.1016/j.energy.2020.118366.
  8. M. C. Joshi, S. Samanta, and G. Srungavarapu, “Battery ultracapacitor based DC motor drive for electric vehicles,” 2017, doi: 10.1109/TENCONSpring.2017.8070057.
  9. B. H. Nguyn, R. German, A. Bouscayrol, and J. P. Trovão, “Bi-level optimal energy management of a hybrid truck supplied by batteries and supercapacitors,” 2018 IEEE Vehicle Power and Propulsion Conference, VPPC 2018 - Proceedings, 2019, doi: 10.1109/VPPC.2018.8605028.
  10. T. Sadeq, C. K. Wai, E. Morris, Q. A. Tarboosh, and O. Aydogdu, “Optimal Control Strategy to Maximize the Performance of Hybrid Energy Storage System for Electric Vehicle Considering Topography Information,” IEEE Access, vol. 8, pp. 216994–217007, 2020, doi: 10.1109/ACCESS.2020.3040869.
  11. Q. Zhang, W. Deng, J. Wu, F. Ju, and J. Li, “Power management control strategy of battery-supercapacitor hybrid energy storage system used in electric vehicles,” in Advances in Battery Manufacturing, Services, and Management Systems, no. 2, 2016, pp. 319–354.
  12. G. G. Nassif and S. C. A. d. Almeida, “Impact of powertrain hybridization on the performance and costs of a fuel cell electric vehicle,” International Journal of Hydrogen Energy, vol. 45, no. 41, pp. 21722–21737, 2020, doi: 10.1016/j.ijhydene.2020.05.138.
  13. R. Hemmati and H. Saboori, “Emergence of hybrid energy storage systems in renewable energy and transport applications – A review,” Renewable and Sustainable Energy Reviews, vol. 65, pp. 11–23, 2016, doi: http://doi.org/10.1016/j.rser.2016.06.029.
  14. V. K. R. Kasimalla, G. Naga Srinivasulu, and V. Velisala, “A review on energy allocation of fuel cell/battery/ultracapacitor for hybrid electric vehicles,” International Journal of Energy Research, vol. 42, no. 14, pp. 4263–4283, 2018, doi: 10.1002/er.4166.
  15. M. Ehsani, K. V. Singh, H. O. Bansal, and R. T. Mehrjardi, “State of the Art and Trends in Electric and Hybrid Electric Vehicles,” Proceedings of the IEEE, vol. 109, no. 6, pp. 967–984, 2021, doi: https://doi.org/10.1109/JPROC.2021.3072788.
  16. Z. Chen, Y. Liu, M. Ye, Y. Zhang, and G. Li, “A survey on key techniques and development perspectives of equivalent consumption minimisation strategy for hybrid electric vehicles,” Renewable and Sustainable Energy Reviews, vol. 151, 2021, doi: 10.1016/j.rser.2021.111607.
  17. A. Siraj, S. Mekbib, A. Olalekan, and J. Nnenna, “Review of optimal sizing and power management strategies for fuel cell / battery / super capacitor hybrid electric vehicles,” Energy Reports, vol. 9, pp. 2213–2228, 2023, doi: 10.1016/j.egyr.2023.01.042.
  18. N. Xu et al., “Towards a smarter energy management system for hybrid vehicles: A comprehensive review of control strategies,” Applied Sciences (Switzerland), vol. 9, no. 10, 2019, doi: https://doi.org/10.3390/app9102026.
  19. T. Teng, X. Zhang, H. Dong, and Q. Xue, “A comprehensive review of energy management optimization strategies for fuel cell passenger vehicle,” International Journal of Hydrogen Energy, vol. 45, no. 39, pp. 20293–20303, 2020, doi: https://doi.org/10.1016/j.ijhydene.2019.12.202.
  20. D. B. W. Abeywardana, B. Hredzak, V. G. Agelidis, and G. D. Demetriades, “Supercapacitor sizing method for energy-controlled filter-based hybrid energy storage systems,” IEEE Transactions on Power Electronics, vol. 32, no. 2, pp. 1626–1637, 2017, doi: 10.1109/TPEL.2016.2552198.
  21. Y. Jiao and D. Månsson, “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, vol. 14, no. 21, 2021, doi: https://doi.org/10.3390/en14217045.
  22. F. Tao, L. Zhu, Z. Fu, P. Si, and L. Sun, “Frequency Decoupling-Based Energy Management Strategy for Fuel Cell / Battery / Ultracapacitor Hybrid Vehicle Using Fuzzy Control Method,” IEEE Access, vol. 8, pp. 166491–166502, 2020, doi: https://doi.org/10.1109/ACCESS.2020.3023470.
  23. Y. Wu et al., “Adaptive power allocation using artificial potential field with compensator for hybrid energy storage systems in electric vehicles,” Applied Energy, vol. 257, no. September 2019, p. 113983, 2020, doi: 10.1016/j.apenergy.2019.113983.
  24. S. Gunther, L. Weber, A. L. Bensmann, and R. Hanke-Rauschenbach, “Structured Analysis and Review of Filter-Based Control Strategies for Hybrid Energy Storage Systems,” IEEE Access, vol. 10, no. November, 2022, doi: https://doi.org/10.1109/ACCESS.2022.3226261.
  25. G. A. Ramos and R. Costa-Castelló, “Energy Management Strategies for Hybrid Energy Storage Systems Based on Filter Control: Analysis and Comparison,” Electronics (Switzerland), vol. 11, no. 10, pp. 1–26, 2022, doi: https://doi.org/10.3390/electronics11101631.
  26. H. Marzougui, A. Kadri, M. Amari, and F. Bacha, “Frequency separation based energy management strategy for fuel cell electrical vehicle with super-capacitor storage system,” 2018 9th International Renewable Energy Congress, IREC 2018, no. Irec, pp. 1–6, 2018, doi: 10.1109/IREC.2018.8362521.
  27. Q. B. Dang, N. D. Ngoc, V. H. Phuong, and M. C. Ta, “Implementation of Frequency Approach-based Energy Management for EVs using Typhoon HIL402,” 2019, doi: https://doi.org/10.1109/VPPC46532.2019.8952271.
  28. D. F. Syahbana and B. R. Trilaksono, “MPC and Filtering-Based Energy Management in Fuel Cell/ Battery/ Supercapacitor Hybrid Source,” Proceedings of the International Conference on Electrical Engineering and Informatics, vol. 2019-July, no. July, pp. 122–127, 2019, doi: https://doi.org/10.1109/ICEEI47359.2019.8988849.
  29. J. Snoussi, S. Elghali, M. Benbouzid, and M. F. Mimouni, “Auto-Adaptive Filtering-Based Energy Management Strategy for Fuel Cell Hybrid Electric Vehicles,” Energies, pp. 1–20, 2018, doi: https://doi.org/10.3390/en11082118.
  30. J. Snoussi, S. Ben Elghali, and M. F. Mimouni, “Sizing and Control of Onboard Multisource Power System for Electric Vehicle,” 19th International Conference on Sciences and Techniques of Automatic Control and Computer Engineering, STA 2019, pp. 347–352, 2019, doi: https://doi.org/10.1109/STA.2019.8717231.
  31. H. C. Lin and Y. C. Ye, “Reviews of bearing vibration measurement using fast Fourier transform and enhanced fast Fourier transform algorithms,” Advances in Mechanical Engineering, vol. 11, no. 1, pp. 1–12, 2019, doi: 10.1177/1687814018816751.
  32. A. Hange, R. Dhar, S. Mane, T. Gole, A. Bhurke, and F. Kazi, “Novel Real-Time Energy Management in Hybrid Electric Vehicle,” in 2019 International Conference on Power Electronics, Control and Automation (ICPECA), 2019, pp. 4–9, doi: 10.1109/ICPECA47973.2019.8975685.
  33. Q. B. Dang, A. V. Dinh, T. V. Duy, and M. C. Ta, “An Energy Management System Based on Fuzzy-LPF for HESS of Electric Vehicles,” in IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings (2019), 2019, pp. 4–8, doi: http://doi.org/10.1109/VPPC46532.2019.8952515.
  34. O. Salari, K. H. Zaad, A. Bakhshai, and P. Jain, “Filter Design for Energy Management Control of Hybrid Energy Storage Systems in Electric Vehicles,” 2018, doi: 10.1109/PEDG.2018.8447608.
  35. A. Panda and M. K. Mishra, “Power Management of Hybrid Storage using Rule Based Adaptive Filtering in Electric Vehicle,” 2022, doi: 10.1109/PESGRE52268.2022.9715831.
  36. R. Kimura et al., “A Method to Design A Power Flow and Energy Management Controller for Battery and EDLC Hybrid Electric Vehicle,” IEEE International Symposium on Industrial Electronics, vol. 2021-June, pp. 6–11, 2021, doi: 10.1109/ISIE45552.2021.9576437.
  37. B. Traor, M. Doumiati, C. Morel, J. C. Olivier, and O. Soumaoro, “Energy Management Strategy Based on a New Adaptive Filtering Algorithm for Battery-Ultracapacitor Electric Vehicles,” in 2020 15th IEEE Conference on Industrial Electronics and Applications (ICIEA), 2020, pp. 392–396.
  38. B. Traore, M. Doumiati, C. Morel, J. C. Olivier, and O. Soumaoro, “New energy management algorithm based on filtering for electrical losses minimization in Battery-Ultracapacitor electric vehicles,” in 2020 22nd European Conference on Power Electronics and Applications, EPE, 2020, pp. 1–7, doi: https://doi.org/10.23919/EPE20ECCEEurope43536.2020.9215748.
  39. J. Huang et al., “Optimal Filter-Based Energy Management for Hybrid Energy Storage Systems with Energy Consumption Minimization,” in Conference Proceedings - IEEE International Conference on Systems, Man and Cybernetics, 2020, vol. 2020-Octob, pp. 1822–1827, doi: 10.1109/SMC42975.2020.9283163.
  40. A. El Aoumari and H. Oaudi, “Optimization of Hybrid Energy Management for HTE Vehicles,” IECON Proceedings (Industrial Electronics Conference), vol. 2021-Octob, 2021, doi: 10.1109/IECON48115.2021.9589517.
  41. H. Xiaoliang, T. Hiramatsu, and H. Yoichi, “Energy management strategy based on frequency-varying filter for the battery supercapacitor hybrid system of Electric Vehicles,” World Electric Vehicle Journal, vol. 6, no. 3, pp. 623–628, 2013, doi: 10.3390/wevj6030623.
  42. S. Mehdi, A. Betka, S. Drid, A. Djerdir, M. Tiar, and S. Abdedaim, “Implementation of new adaptive power-split management strategy in a battery-super capacitor electric vehicle,” Proceedings of 2018 3rd International Conference on Electrical Sciences and Technologies in Maghreb, CISTEM 2018, 2019, doi: 10.1109/CISTEM.2018.8613601.
  43. H. Maghfiroh, C. Hermanu, M. H. Ibrahim, M. Anwar, and A. Ramelan, “Hybrid fuzzy-PID like optimal control to reduce energy consumption,” Telkomnika (Telecommunication Computing Electronics and Control), vol. 18, no. 4, pp. 2053–2061, 2020, doi: http://doi.org/10.12928/telkomnika.v18i4.14535.
  44. H. Maghfiroh, I. Iftadi, and A. Sujono, “Speed control of induction motor using lqg,” Journal of Robotics and Control (JRC), vol. 2, no. 6, pp. 565–570, 2021, doi: http://doi.org/10.18196/jrc.26138.
  45. A. D. Dávila-Lamas, J. J. Carbajal-Hernández, L. P. Sánchez-Fernández, V. B. Niebla-Zatarain, and C. A. Hoil-Rosas, “Assessment of Coastal Locations Safety Using a Fuzzy Analytical Hierarchy Process-Based Model,” Sustainability (Switzerland), vol. 14, no. 10, 2022, doi: 10.3390/su14105972.
  46. M. Suhail, I. Akhtar, S. Kirmani, and M. Jameel, “Development of Progressive Fuzzy Logic and ANFIS Control for Energy Management of Plug-In Hybrid Electric Vehicle,” IEEE Access, vol. 9, pp. 62219–62231, 2021, doi: 10.1109/ACCESS.2021.3073862.
  47. C. Pinto, R. De Castro, and R. E. Araujo, “A comparative study between causal and non-causal algorithms for the energy management of hybrid storage systems,” 2013 15th European Conference on Power Electronics and Applications, EPE 2013, 2013, doi: 10.1109/EPE.2013.6634702.
  48. S. Hussain, M. U. Ali, G. Park, S. H. Nengroo, M. A. Khan, and H. Kim, “A Real-Time Bi-Adaptive Controller-Based Energy Hybrid Electric Vehicles,” Energies, vol. 12, 2019, doi: https://doi.org/10.3390/en12244662.
  49. X.-Z. Zhang, Z.-Y. Lu, C.-Z. Tan, and Z.-Y. Wang, “Fuzzy Adaptive Filtering-based Energy Management for Hybrid Energy Storage System,” Computer Systems Science and Engineering, vol. 36, no. 1, pp. 117–130, 2021, doi: 10.32604/csse.2021.014081.
  50. H. Liao et al., “Adaptive Split-Frequency Quantitative Power Allocation for Hybrid Energy Storage Systems,” IEEE Transactions on Transportation Electrification, vol. 7, no. 4, pp. 2306–2317, 2021, doi: 10.1109/TTE.2021.3070849.
  51. Q. Li and H. Yang, “Adaptive Power Allocation with Real-Time Monitoring and Optimization for Fuel Cell / Supercapacitor Hybrid Energy Storage Systems,” 2022.
  52. Q. Xun, V. Roda, Y. Liu, X. Huang, and R. Costa-Castelló, “An adaptive power split strategy with a load disturbance compensator for fuel cell/supercapacitor powertrains,” Journal of Energy Storage, vol. 44, no. PA, p. 103341, 2021, doi: 10.1016/j.est.2021.103341.
  53. H. L. T. Nguyen, B. H. Nguyen, T. Vo-Duy, and J. P. F. Trovão, “A comparative study of adaptive filtering strategies for hybrid energy storage systems in electric vehicles,” Energies, vol. 14, no. 12, pp. 1–23, 2021, doi: 10.3390/en14123373.
  54. Y. Ghoulam et al., “Energy Management Strategy with Adaptive Cut-off Frequency for Hybrid Energy Storage System in Electric Vehicles,” 2022 IEEE Vehicle Power and Propulsion Conference, VPPC 2022 - Proceedings, 2022, doi: 10.1109/VPPC55846.2022.10003404.
  55. R. Zhang and J. Tao, “GA-Based fuzzy energy management system for FC/SC-Powered HEV Considering H2 Consumption and Load Variation,” IEEE Transactions on Fuzzy Systems, vol. 26, no. 4, pp. 1833–1843, 2018, doi: 10.1109/TFUZZ.2017.2779424.
  56. O. Salari, K. Hashtrudi-Zaad, A. Bakhshai, M. Z. Youssef, and P. Jain, “A Systematic Approach for the Design of the Digital Low-Pass Filters for Energy Storage Systems in EV Applications,” IEEE Journal of Emerging and Selected Topics in Industrial Electronics, vol. 1, no. 1, pp. 67–79, 2020, doi: 10.1109/jestie.2020.2999508.
  57. B. Traoré, M. Doumiati, C. Morel, J. C. Olivier, and O. Soumaoro, “Energy management strategy design based on frequency separation, fuzzy logic and Lyapunov control for multi-sources electric vehicles,” IECON Proceedings (Industrial Electronics Conference), vol. 2019-Octob, pp. 2676–2681, 2019, doi: https://doi.org/10.1109/IECON.2019.8927661.
  58. Q. Zhang and G. Li, “Experimental study on a semi-active battery-supercapacitor hybrid energy storage system for electric vehicle application,” IEEE Transactions on Power Electronics, vol. 35, no. 1, pp. 1014–1021, 2020, doi: 10.1109/TPEL.2019.2912425.
  59. Z. Fu, Z. Li, P. Si, and F. Tao, “A hierarchical energy management strategy for fuel cell/battery/supercapacitor hybrid electric vehicles,” International Journal of Hydrogen Energy, vol. 44, no. 39, pp. 22146–22159, 2019, doi: 10.1016/j.ijhydene.2019.06.158.
  60. D. Laid, J. Imen, R. Nassim, D. Sara, L. Cherif, and A. J. Telmoudi, “Power management strategies of hybrid storage system suppling electric vehicle,” 2022 30th Mediterranean Conference on Control and Automation, MED 2022, pp. 1018–1023, 2022, doi: 10.1109/MED54222.2022.9837189.