Document Type : Original Article

Authors

1 Bioenvironmental Engineering Research Centre (BERC), Department of Chemical Engineering and Sustainability, Faculty of Engineering, International Islamic University Malaysia, 50728 Kuala Lumpur, Malaysia

2 Department of Electrical and Electronic Engineering, Faculty of Engineering, International University of Business, Agriculture and Technology, Uttara, Dhaka 1230, Bangladesh

Abstract

The world's most economically developed countries are facing an energy crisis caused by geopolitical instability, rising energy costs, global stock disruptions, and a shift towards low-carbon energy sources that has yet to be fully realized. Electrification of the transportation industry offers the advantages of increased energy efficiency and reduced local pollutants. Electric Vehicles (EVs) are environmentally friendly because they reduce fossil fuels usage even zero consumption, need fewer maintenance requirements, and lower operating costs than the vehicles powered by gasoline or diesel. However, this study focuses on comparing various energy management strategies (EMS) for a backup energy supply system for EVs. The hybrid power system (HPS) considered in this study includes DC-DC and DC-AC synchronous converters, as well as supercapacitors, batteries, and fuel cells. The EMS analyzed includes state machine control, classical proportional-integral control, equivalent consumption minimization, frequency decoupling, rule-based fuzzy logic, and fuzzy logic control. The HPS's efficiency, hydrogen fuel, supercapacitor or battery state of charge levels, and overall performance are evaluated as primary efficiency criteria. Additionally, the HPS not only increases system energy but also reduces the number of pack batteries required. This study designs and constructs the combined power systems to enhance EV power schemes with rechargeable battery power supplies. The results show that a 6-kW fuel cell hybrid increases the power system capacity to 408 kWh. Moreover, a novel method based on wavelet transforms of the instantaneous power of each energy source is used to quantify the stressors on each energy source that impact its life cycle. To validate all analyses and performance, a simulation model and an experimental test bench are created. Finally, simulation results demonstrate a synchronous converter with a 6-kW output power and 96% efficiency, validating the optimization results.

Keywords

Main Subjects

  1. Sin, Y.T., and Najmi W.M, W.A., 2013. Industrial and Academic Collaboration Strategies on Hydrogen Fuel Cell Technology Development in Malaysia. Procedia - Social and Behavioral Sciences, 90, pp.879–888. Doi: 10.1016/j.sbspro.2013.07.164
  2. Rahman, T., Alam, M.Z., Deb, N., and Kamal, R., 2022. Mathematical modeling of an oscillation criteria based on second order linear difference equations using fuel cell system for electric vehicle. Journal of Interdisciplinary Mathematics, 25(7), pp.2039–2051. Doi: 10.1080/09720502.2022.2133231
  3. Cai, Q., Browning, D.J., Brett, D.J., and Brandon, N.P., 2007. Hybrid fuel cell/battery power systems for underwater vehicles. In: Proceedings 3rd SEADS STC Technical Conference, Edinburgh. Citeseer
  4. Ma, Z., Witteman, L., Wrubel, J.A., and Bender, G., 2021. A comprehensive modeling method for proton exchange membrane electrolyzer development. International Journal of Hydrogen Energy, 46(34), pp.17627–17643. Doi: 10.1016/j.ijhydene.2021.02.170
  5. Rahman, T., Motakabber, S.M.A., and Ibrahimy, M.I., 2016. Low Noise Inverter for Poly Phase Microgrid System. In: 2016 International Conference on Computer and Communication Engineering (ICCCE). IEEE, pp 172–176.
  6. Yang, Q., Yu, L., Zhao, X., Wang, Y., Zhu, H., and Zhang, Y., 2022. Highly stable γ-NiOOH/ZnCdS photocatalyst for efficient hydrogen evolution. International Journal of Hydrogen Energy, 47(64), pp.27516–27526. Doi: 10.1016/j.ijhydene.2022.06.093
  7. Nesaraj, A.S., 2010. Recent developments in solid oxide fuel cell technology–a review. Journal of Scientific and Industrial Research (JSIR), 69, pp.169–176.
  8. Rahman, T., Motakabber, S.M.A., and Ibrahimy, M.I., 2017. A zero crossing PWM controller of a full bridge single phase synchronous inverter for microgrid systems. International Journal of Engineering and Information Systems (IJEAIS), 1(6), pp.202–211.
  9. Rajan, P., and Jeevananthan, S., 2022. Towards Energy Sustainability -Domestic Power Station, Tariff Acquiescent EMS and Procedure to Rejuvenate Petrol Scooter into Electric Scooter for Accelerated Participation of Rural Consumers in Energy Demand Management. IEEE Journal of Emerging and Selected Topics in Power Electronics. Doi: 10.1109/JESTPE.2022.3182574
  10. Yuan, B., Zhang, B., Yuan, X., Wang, J., Chen, L., Bai, L., and Luo, S., 2022. Study on the Relationship Between Open-Circuit Voltage, Time Constant And Polarization Resistance of Lithium-Ion Batteries. Journal of The Electrochemical Society, 169(6), pp.060513. Doi: 10.1149/1945-7111/ac7359
  11. Albarghot, M.M., Iqbal, M.T., Pope, K., and Rolland, L., 2019. Sizing and Dynamic Modeling of a Power System for the MUN Explorer Autonomous Underwater Vehicle Using a Fuel Cell and Batteries. Journal of Energy, 2019, pp.1–17. Doi: 10.1155/2019/4531497
  12. Njoya Motapon, S., Dessaint, L.-A., and Al-Haddad, K., 2014. A Comparative Study of Energy Management Schemes for a Fuel-Cell Hybrid Emergency Power System of More-Electric Aircraft. IEEE Transactions on Industrial Electronics, 61(3), pp.1320–1334. Doi: 10.1109/TIE.2013.2257152
  13. Li, A.G., Wang, W., West, A.C., and Preindl, M., 2022. Health and performance diagnostics in Li-ion batteries with pulse-injection-aided machine learning. Applied Energy, 315, pp.119005. Doi: 10.1016/j.apenergy.2022.119005
  14. Fallah Ghavidel, H., and Mousavi-G, S.M., 2022. Modeling analysis, control, and type-2 fuzzy energy management strategy of hybrid fuel cell-battery-supercapacitor systems. Journal of Energy Storage, 51, pp.104456. Doi: 10.1016/j.est.2022.104456
  15. Wei Jiang, and Fahimi, B., 2010. Active Current Sharing and Source Management in Fuel Cell–Battery Hybrid Power System. IEEE Transactions on Industrial Electronics, 57(2), pp.752–761. Doi: 10.1109/TIE.2009.2027249
  16. Ma, S., Qin, J., Xiu, X., and Wang, S., 2022. RETRACTED: Design and performance evaluation of an underwater hybrid system of fuel cell and battery. Energy Conversion and Management, 262, pp.115672. Doi: 10.1016/j.enconman.2022.115672
  17. Kerviel, A., Pesyridis, A., Mohammed, A., and Chalet, D., 2018. An Evaluation of Turbocharging and Supercharging Options for High-Efficiency Fuel Cell Electric Vehicles. Applied Sciences, 8(12), pp.2474. Doi: 10.3390/app8122474
  18. Gao, Q., Lei, T., Deng, F., Min, Z., Yao, W., and Zhang, X., 2022. A Deep Reinforcement Learning Based Energy Management Strategy for Fuel-Cell Electric UAV. In: 2022 International Conference on Power Energy Systems and Applications (ICoPESA). IEEE, pp 524–530.
  19. Uzunoglu, M., Onar, O.C., and Alam, M.S., 2009. Modeling, control and simulation of a PV/FC/UC based hybrid power generation system for stand-alone applications. Renewable Energy, 34(3), pp.509–520. Doi: 10.1016/j.renene.2008.06.009
  20. Rahman T. (2019). Design and development of a phase synchronous inverter for microgrid system based on electrostatic generator (Doctoral dissertation, International Islamic University Malaysia).
  21. Njoya, S.M., Tremblay, O., and Dessaint, L.-A., 2009. A generic fuel cell model for the simulation of fuel cell vehicles. In: 2009 IEEE Vehicle Power and Propulsion Conference. IEEE, pp 1722–1729.
  22. Zhao, H., and Burke, A.F., 2009. Optimization of fuel cell system operating conditions for fuel cell vehicles. Journal of Power Sources, 186(2), pp.408–416. Doi: 10.1016/j.jpowsour.2008.10.032
  23. Rigatos, G., Siano, P., Wira, P., and Loia, V., 2016. A PEM Fuel Cells Control Approach Based on Differential Flatness Theory. Intelligent Industrial Systems, 2(2), pp.107–117. Doi: 10.1007/s40903-016-0044-y
  24. Motapon, S.N., Tremblay, O., and Dessaint, L.A., 2012. Development of a generic fuel cell model: application to a fuel cell vehicle simulation. International Journal of Power Electronics, 4(6), pp.505–522. Doi: 10.1504/IJPELEC.2012.052427
  25. Xu, J., Zhang, C., Wan, Z., Chen, X., Chan, S.H., and Tu, Z., 2022. Progress and perspectives of integrated thermal management systems in PEM fuel cell vehicles: A review. Renewable and Sustainable Energy Reviews, 155, pp.111908. Doi: 10.1016/j.rser.2021.111908
  26. Hai, T., Zhou, J., and Khaki, M., 2023. Optimal planning and design of integrated energy systems in a microgrid incorporating electric vehicles and fuel cell system. Journal of Power Sources, 561, pp.232694. Doi: 10.1016/j.jpowsour.2023.232694