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Paper ID:IJSREM66771

A Grid-Interactive Hybrid Fuel Cell and Battery Storage Power Management System Station for EV Charging

Stream/Area:

-

Subject:

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Paper ID:

IJSREM66771

Volume:

10 |

8 |

Aug 2026

Pages:

1-8

Publication Frequency:

Monthly (12 issues per year)

DOI
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Not assigned

License:International Journal of Scientific Research in Engineering and Management follows the Creative Commons Attribution 4.0 (CC BY 4.0) License, allowing free use and distribution with proper attribution.

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Authors

Gujjarlapudi Suhas

Gujjarlapudi Suhas

Elecrical and Electronics Engineering

KLR College Of Engineering and Technology

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MPK

Maisakshi Pavan Kumar

Elecrical and Electronics Engineering

KLR College Of Engineering and Technology

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AK

Arpula Krishnaiah

Elecrical and Electronics Engineering

KLR College Of Engineering and Technology

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Abstract

The rapid growth of electric vehicle (EV) adoption has increased the demand for reliable, efficient, and sustainable charging infrastructure. This study presents a decentralized energy management framework for a grid-interactive EV charging station integrating photovoltaic (PV) generation, battery energy storage (BES), and proton exchange membrane fuel cell (PEMFC) systems. A hybrid control methodology based on Line Resistance Correction Droop (LRCD) control is proposed to improve power-sharing accuracy, enhance battery life, and maintain stable operation under varying load and renewable generation conditions. The proposed architecture prioritizes renewable energy utilization while dynamically coordinating battery and fuel cell resources according to battery state-of-charge (SoC), grid availability, and charging demand. To extend battery lifespan, adaptive SoC regulation and depth-of-discharge control mechanisms are incorporated. Additionally, the fuel cell operates within its optimal efficiency region, minimizing degradation and improving overall system performance. The developed control framework supports both grid-connected and islanded operating modes, ensuring uninterrupted charging service during grid disturbances. Experimental and simulation analyses demonstrate improved DC bus voltage regulation, reduced current stress on storage components, and enhanced transient response during sudden load variations. Furthermore, the charging station maintains near-unity power factor operation and total harmonic distortion within acceptable standards during dynamic transitions. The findings indicate that integrating hybrid storage with decentralized control significantly enhances charging station reliability, reduces grid dependency, and provides a scalable solution for future renewable-powered EV infrastructure.

KEYWORDS

Decentralized energy management PV-BES system fuel cell EV charging station.

Cite This Article

Gujjarlapudi Suhas, Maisakshi Pavan Kumar, Arpula Krishnaiah, "A Grid-Interactive Hybrid Fuel Cell and Battery Storage Power Management System Station for EV Charging," International Journal of Scientific Research in Engineering and Management, vol. 10, no. 8, pp. 1-8, Aug 2026.

Full Article/Conclusion

The proposed hybrid fuel cell and battery storage power management system for grid-interactive electric vehicle charging stations provides an efficient and sustainable solution for addressing the increasing demand for reliable EV charging infrastructure. By integrating photovoltaic generation, Battery Energy Storage Systems (BESS), Proton Exchange Membrane Fuel Cells (PEMFC), and utility grid support within a unified framework, the system successfully overcomes challenges associated with renewable intermittency, storage limitations, and dynamic charging requirements. The decentralized energy management strategy enables intelligent coordination among multiple energy sources, ensuring optimal power sharing and uninterrupted charging operation under varying operating conditions. The implementation of adaptive control mechanisms and Line Resistance Corrected Droop Control significantly improved load distribution accuracy, DC bus voltage regulation, and overall system stability. Battery storage effectively handled transient load variations, while fuel cells provided long-duration energy support, thereby reducing storage stress and extending battery lifespan. Experimental and simulation analyses demonstrated stable operation during grid-connected and islanded modes, with improved renewable energy utilization and reduced dependency on conventional utility infrastructure.  Furthermore, the system maintained acceptable power quality performance with low harmonic distortion and near-unity power factor operation. Intelligent coordination between renewable generation and hybrid storage resources improved charging continuity during renewable fluctuations and grid disturbances. Overall, the proposed hybrid charging framework offers enhanced reliability, scalability, sustainability, and operational flexibility, making it a promising solution for future smart charging infrastructure and large-scale transportation electrification initiatives.

References

[1] J. Zhang, L. Che, and M. Shahidehpour, “Distributed training and distributed execution-based Stackelberg multi-agent reinforcement learning for EV charging scheduling,” IEEE Trans. Smart Grid, vol.  4, no. 6, pp. 4976–4979, Nov. 2023.   [2] M. Mao et al., “Multi-objective power management for EV fleet with MMC-based integration into smart grid,” IEEE Trans. Smart Grid, vol. 10, no. 2, pp. 1428–1439, Mar. 2019.   [3] B. Mohandes, M. Wahbah, M. S. E. Moursi, and T. H. M. El-Fouly, “Renewable energy management system: Optimum design and hourly dispatch,” IEEE Trans. Sustain. Energy, vol. 12, no. 3, pp. 1615–1628, Jul. 2021.   [4] P. Aaslid, M. Korpås, M. M. Belsnes, and O. B. Fosso, “Stochastic optimization of microgrid operation with renewable generation and energy storages,” IEEE Trans. Sustain. Energy, vol. 13, no. 3, pp. 1481–1491, Jul. 2022.   [5] G. Pan, W. Gu, Y. Lu, H. Qiu, S. Lu, and S. Yao, “Optimal planning for electricity-hydrogen integrated energy system considering power to hydrogen and heat and seasonal storage,” IEEE Trans. Sustain. Energy, vol. 11, no. 4, pp. 2662–2676, Oct. 2020.   [6] J. Bauman and M. Kazerani, “A comparative study of fuelcell– battery, fuel-cell–ultracapacitor, and fuel-cell–battery–ultracapacitor vehicles,” IEEE Trans. Veh. Technol., vol. 57, no. 2, pp. 760–769, Mar. 2008.   [7] C. Wang and M. H. Nehrir, “Load transient mitigation for stand-alone fuel cell power generation systems,” IEEE Trans. Energy Convers., vol. 22, no. 4, pp. 864–872, Dec. 2007.   [8] M. Patterson, N. F. Macia, and A. M. Kannan, “Hybrid microgrid model based on solar photovoltaic battery fuel cell system for intermittent load applications,” IEEE Trans. Energy Convers., vol. 30, no. 1, pp. 359–366, Mar. 2015.   [9] A. Emadi, K. Rajashekara, S. S. Williamson, and S. M. Lukic,“Topological overview of hybrid electric and fuel cell vehicular power system architectures and configurations,” IEEE Trans. Veh. Technol.,vol. 54, no. 3, pp. 763–770, May 2005.   [10] M. B. Abdelghany, M. F. Shehzad, V. Mariani, D. Liuzza, and L. Glielmo, “Two-stage model predictive control for a hydrogen-based storage system paired to a wind farm towards green hydrogen production for fuel cell electric vehicles„” Int. J. Hydrogen Energy, vol. 47, no. 75,  pp. 32202–32222, Sep. 2022.

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Publication Date

8/14/2026

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