Review Article |
A Tiered Control Strategy for Energy Management in PEMFC Hybrid Systems for Distributed Power and Vehicle Applications
Author(s): M Lakshminarayana1, P. V. Prasad2 and E. Vidyasagar3
Published In : International Journal of Electrical and Electronics Research (IJEER) Volume 13, Issue 1
Publisher : FOREX Publication
Published : 30 March 2025
e-ISSN : 2347-470X
Page(s) : 55-61
Abstract
This paper presents an optimized energy configuration using a polymer electrolyte membrane fuel cell (PEMFC) as the primary power source, paired with a battery and supercapacitor for storage. This hybrid system, designed for modern distributed generation and next-gen fuel cell vehicles, achieves energy balance through DC bus voltage regulation. The supercapacitor, with high power density and fast response, stabilizes the DC bus voltage, while the battery, valued for its high energy density, continually recharges the supercapacitor. The fuel cell, with a slower response, ensures the battery remains charged. This setup features three voltage control loops: the supercapacitor manages the DC bus voltage, the battery maintains the supercapacitor voltage, and the fuel cell sustains the battery voltage.
Keywords: EV
, hybrid energy storage system
, energy management method
, fuel cell
, battery deterioration
.
M Lakshminarayana, Research Scholar, Department of Electrical Engineering, University College of Engineering, Osmania University, Hyderabad, India; Email: lakshminarayanauceou@gmail.com
P. V. Prasad, Professor, Department of Electrical and Electronics Engineering, Chaitanya Bharathi Institute of Technology, Hyderabad, India; Email: pvprasad_eee@cbit.ac.in
E. Vidyasagar, Professor, Department of Electrical Engineering, University College of Engineering, Osmania University, Hyderabad, India; Email: vidyasagar.e@uceou.edu
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[1] Babu, Jarapala Ramesh, ManasRanjan Nayak, and B. Mangu. "Development and Application of an Energy Management System for Electric Vehicles Integrated with Multi-input DC-DCBidirectional Buck-Boost Converter." International Journal of Electrical and Electronics Research 11.2 (2023): 457-464.
-
[2] Babu, Jarapala Ramesh, ManasRanjan Nayak, and B. Mangu. "Design and Control of a Tricycle with a Hybrid Electric Motor Cooling System Powered by Solar Photovoltaics." International Journal of Electrical and Electronics Research 11.2 (2023): 465-472.
-
[3] S. Mishra, S. C. Swain, and R. K. Samantaray, “A review on battery management system and its application in electric vehicle,” in 2021 International Conference on Advances in Computing and Communications (ICACC), IEEE, 2021, pp. 1–6.
-
[4] Babu, Jarapala Ramesh, Manas Ranjan Nayak, and B. Mangu. "Renewable Energy Applications and a Multi-Input DC-DC Converter for Hybrid Electric Vehicle Applications using MATLAB/Simulink." 2021 Innovations in Power and Advanced Computing Technologies (i-PACT). IEEE, 2021.
-
[5] J. A. Sanguesa, V. Torres-Sanz, P. Garrido, F. J. Martinez, and J. M. Marquez-Barja, “A review on electric vehicles: Technologies and challenges,” Smart Cities, vol. 4, no. 1, pp. 372–404, 2021.
-
[6] R. Xiong and W. Shen, Advanced battery management technologies for electric vehicles. John Wiley & Sons, 2019.
-
[7] L. Komsiyska, T. Buchberger, S. Diehl, et al., “Critical review of intelligent battery systems: Challenges, implementation, and potential for electric vehicles,” Energies, vol. 14, no. 18, p. 5989, 2021.
-
[8] Y. Qiu and F. Jiang, “A review on passive and active strategies of enhancing the safety of lithium-ion batteries,” International Journal of Heat and Mass Transfer, vol. 184, p. 122 288, 2022.
-
[9] H. A. Gabbar, A. M. Othman, and M. R. Abdussami, “Review of battery management systems (bms) development and industrial standards,” Technologies, vol. 9, no. 2, p. 28, 2021.
-
[10] X. Yue, Q. Yin, G. Xi, et al., “Comparison of bmss with ses for the symptomatic intracranial disease of the middle cerebral artery stenosis,” Cardiovascular and interventional radiology, vol. 34, no. 1, pp. 54–60, 2011.
-
[11] V. Bindhu and G. Ranganathan, “Effective automatic fault detection in transmission lines by hybrid model of authorization and distance calculation through impedance variation,” Journal of Electronics, vol. 3, no. 01, pp. 36–48, 2021.
-
[12] D. Krishna, M. Sasikala, and R. Kiranmayi, “FOPI and FOFL controller based UPQC for mitigation of power quality problems in distribution power system,” Journal of Electrical Engineering & Technology, vol. 17, no. 3, pp. 1543–1554, 2022.
-
[13] X. Lin, S. Zeng, and X. Li, “Online correction predictive energy management strategy using the q-learning based swarm optimization with fuzzy neural network,” Energy, vol. 223, p. 120 071, 2021.
-
[14] R. S. Sankarkumar and R. Natarajan, “Energy management techniques and topologies suitable for hybrid energy storage system powered electric vehicles: An overview,” International Transactions on Electrical Energy Systems, vol. 31, no. 4, e12819, 2021.
-
[15] A. K. Podder, O. Chakraborty, S. Islam, N. M. Kumar, and H. H. Alhelou, “Control strategies of different hybrid energy storage systems for electric vehicles applications,” IEEE Access, vol. 9, pp. 51 865–51 895, 2021.
-
[16] N. Yang, L. Han, C. Xiang, H. Liu, and X. Li, “An indirect reinforcement learning based real-time energy management strategy via high-order markov chain model for a hybrid electric vehicle,” Energy, vol. 236, p. 121 337, 2021.
-
[17] P. Szcze´sniak, I. Grobelna, M. Novak, and U. Nyman, “Overview of control algorithm verification methods in power electronics systems,” Energies, vol. 14, no. 14, p. 4360, 2021.