Energy Management Strategy Considering Fuel Economy and Life of Fuel Cell for Fuel Cell Electric Vehicles
Publication: Journal of Energy Engineering
Volume 149, Issue 1
Abstract
The optimization of energy management strategy (EMS) for fuel cell electric vehicles (FCEV) is mainly applied to reduce fuel consumption. However, serious power fluctuations affect the durability of the fuel cell, which is still a challenge for the FCEV. In order to optimize the fuel cell’s service life and economy, this paper proposes an EMS scheme based on fuzzy control. In the proposed EMS, the first layer uses the power following strategy to address the output power distribution issue between the battery and the fuel cell. In order to limit the rapid shift in fuel cell power, the second layer employs a fuzzy control method. Considering the variety of constraints, such as fuel cell power fluctuation and hydrogen consumption, the particle swarm optimization algorithm is used to optimize the membership function of the fuzzy controller. The performance and the operating characteristics of the fuel cells are then evaluated using a test bench. Afterward, the proposed EMS is verified by AMEsim joint simulation. The optimized strategy increased the driving range by 4.7% and 5.9% in world light vehicle test cycle (WLTC) and new European driving cycle (NEDC) conditions, respectively. It also reduces the fuel cell degradation by 21.4% and 19.8%.
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Data Availability Statement
Some or all data, models, or code generated or used during the study are available from the corresponding author by request (Figs. 2–16).
Acknowledgments
This research was supported by the Science and Technology Project of Jiangsu Province (Grant No. BE2019006-3), Jiangsu provincial colleges of Natural Science General Program (21KJB460028), Chinese Fund of Key Laboratory of Tractor Power System (SKT2021001), and the Senior Talent Fund through the Jiangsu University (20JDG069).
References
Ahmadi, S., S. M. T. Bathaee, and A. H. Hosseinpour. 2018. “Improving fuel economy and performance of a fuel-cell hybrid electric vehicle (fuel-cell, battery, and ultra-capacitor) using optimized energy management strategy.” Energy Convers. Manage. 160 (Mar): 74–84. https://doi.org/10.1016/j.enconman.2018.01.020.
Ahmed, S., and M. Krumpelt. 2001. “Hydrogen from hydrocarbon fuels for fuel cells.” Int. J. Hydrogen Energy 26 (4): 291–301. https://doi.org/10.1016/S0360-3199(00)00097-5.
Bang, J., H.-S. Kim, D.-H. Lee, and K. Min. 2008. “Study on operating characteristics of fuel cell powered electric vehicle with different air feeding systems.” J. Mech. Sci. Technol. 22 (8): 1602–1611. https://doi.org/10.1007/s12206-008-0417-6.
Chen, J., C. Xu, C. Wu, and W. Xu. 2018. “Adaptive fuzzy logic control of fuel-cell-battery hybrid systems for electric vehicles.” IEEE Trans. Ind. Inf. 14 (1): 292–300. https://doi.org/10.1109/TII.2016.2618886.
Das, H. S., C. W. Tan, and A. H. M. Yatim. 2017. “Fuel cell hybrid electric vehicles: A review on power conditioning units and topologies.” Renewable Sustainable Energy Rev. 76 (Sep): 268–291. https://doi.org/10.1016/j.rser.2017.03.056.
Falvo, M. C., R. Lamedica, R. Bartoni, and G. Maranzano. 2011. “Energy management in metro-transit systems: An innovative proposal toward an integrated and sustainable urban mobility system including plug-in electric vehicles.” Electr. Power Syst. Res. 81 (12): 2127–2138. https://doi.org/10.1016/j.epsr.2011.08.004.
Geng, C., X. Jin, and X. Zhang. 2019. “Simulation research on a novel control strategy for fuel cell extended-range vehicles.” Int. J. Hydrogen Energy 44 (1): 408–420. https://doi.org/10.1016/j.ijhydene.2018.04.038.
He, H., X. Wang, J. Chen, and Y.-X. Wang. 2020. “Regenerative fuel cell-battery-supercapacitor hybrid power system modeling and improved rule-based energy management for vehicle application.” Int. J. Hydrogen Energy 146 (6): 4020060. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000708.
Hu, X., S. Liu, K. Song, Y. Gao, and T. Zhang. 2021. “Novel fuzzy control energy management strategy for fuel cell hybrid electric vehicles considering state of health.” Energies 14 (20): 6481. https://doi.org/10.3390/en14206481.
Huang, Y., H. Wang, A. Khajepour, B. Li, J. Ji, K. Zhao, and C. Hu. 2018. “A review of power management strategies and component sizing methods for hybrid vehicles.” Renewable Sustainable Energy Rev. 96 (Nov): 132–144. https://doi.org/10.1016/j.rser.2018.07.020.
Jia, H., J. Tang, Y. Yu, Y. Sun, B. Yin, and C. Zhang. 2021. “Energy management strategy of fuel cell/battery hybrid vehicle based on series fuzzy control.” Int. J. Automot. Technol. 22 (6): 1545–1556. https://doi.org/10.1007/s12239-021-0133-0.
Jia, J., Y. Wang, Q. Li, Y. T. Cham, and M. Han. 2009. “Modeling and dynamic characteristic simulation of a proton exchange membrane fuel cell.” IEEE Trans. Energy Convers. 24 (1): 283–291. https://doi.org/10.1109/TEC.2008.2011837.
Kang, J. N., Y. M. Wei, L. C. Liu, and J. W. Wang. 2021. “Observing technology reserves of carbon capture and storage via patent data: Paving the way for carbon neutral.” Technol. Forecasting Social Change 171 (Oct): 120933. https://doi.org/10.1016/j.techfore.2021.120933.
Kasimalla, V. K., and V. Velisala. 2018. “A review on energy allocation of fuel cell/battery/ultracapacitor for hybrid electric vehicles.” Int. J. Energy Res. 42 (14): 4263–4283. https://doi.org/10.1002/er.4166.
Li, X., Y. Wang, D. Yang, and Z. Chen. 2019. “Adaptive energy management strategy for fuel cell/battery hybrid vehicles using Pontryagin’s minimal principle.” J. Power Sources 440 (Nov): 227105. https://doi.org/10.1016/j.jpowsour.2019.227105.
Liu, L., and Q. Sun. 2019. “Empirical research on ecological efficiency of coal resource–dependent cities in China.” J. Environ. Eng. 145 (9): 4019047. https://doi.org/10.1061/(ASCE)EE.1943-7870.0001564.
Martel, F., S. Kelouwani, Y. Dube, and K. Agbossou. 2015. “Optimal economy-based battery degradation management dynamics for fuel-cell plug-in hybrid electric vehicles.” J. Power Sources 274 (Jan): 367–381. https://doi.org/10.1016/j.jpowsour.2014.10.011.
Miao, L., Y. Zhang, C. Tong, Q. Guo, J. Zhang, and T. Yildirim. 2020. “Optimized energy-storage method based on deep-learning adaptive-dynamic programming.” J. Energy Eng. 146 (3): 4020011. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000657.
Nico, A. I., R. M. Jiménez-Díaz, and P. Castillo. 2004. “Control of root-knot nematodes by composted agro-industrial wastes in potting mixtures.” Crop Prot. 23 (7): 581–587. https://doi.org/10.1016/j.cropro.2003.11.005.
Peng, J., R. Wang, H. Liao, Y. Zhou, H. Li, Y. Wu, and Z. Huang. 2019. “A real-time layer-adaptive wavelet transform energy distribution strategy in a hybrid energy storage system of EVs.” Energies 12 (3): 440. https://doi.org/10.3390/en12030440.
Prema, V., M. S. Bhaskar, D. Almakhles, N. Gowtham, and K. U. Rao. 2022. “Critical review of data, models and performance metrics for wind and solar power forecast.” IEEE Access 10 (Dec): 667–688. https://doi.org/10.1109/ACCESS.2021.3137419.
Shen, D., C.-C. Lim, and P. Shi. 2020. “Fuzzy model based control for energy management and optimization in fuel cell vehicles.” IEEE Trans. Veh. Technol. 69 (12): 14674–14688. https://doi.org/10.1109/TVT.2020.3034454.
Song, K., H. Chen, P. Wen, T. Zhang, B. Zhang, and T. Zhang. 2018. “A comprehensive evaluation framework to evaluate energy management strategies of fuel cell electric vehicles.” Electrochim. Acta 292 (Dec): 960–973. https://doi.org/10.1016/j.electacta.2018.09.166.
Song, K., X. Wang, F. Li, M. Sorrentino, and B. Zheng. 2020. “Pontryagin’s minimum principle-based real-time energy management strategy for fuel cell hybrid electric vehicle considering both fuel economy and power source durability.” Energy 205 (Aug): 118064. https://doi.org/10.1016/j.energy.2020.118064.
Tao, F., L. Zhu, Z. Fu, P. Si, and L. Sun. 2020. “Frequency decoupling-based energy management strategy for fuel cell/battery/ultracapacitor hybrid vehicle using fuzzy control method.” IEEE Access 8 (Sep): 166491–166502. https://doi.org/10.1109/ACCESS.2020.3023470.
Udara Willhelm Abeydeera, L. H., J. Wadu Mesthrige, and T. I. Samarasinghalage. 2019. “Global research on carbon emissions: A scientometric review.” Sustainability 11 (14): 3972. https://doi.org/10.3390/su11143972.
Verhelst, S. 2014. “Recent progress in the use of hydrogen as a fuel for internal combustion engines.” Int. J. Hydrogen Energy 39 (2): 1071–1085. https://doi.org/10.1016/j.ijhydene.2013.10.102.
Wang, Y., X. Li, L. Wang, and Z. Sun. 2019a. “Multiple-grained velocity prediction and energy management strategy for hybrid propulsion systems.” J. Storage Mater. 26 (Dec): 100950. https://doi.org/10.1016/j.est.2019.100950.
Wang, Y., Z. Sun, and Z. Chen. 2019b. “Development of energy management system based on a rule-based power distribution strategy for hybrid power sources.” Energy 175 (May): 1055–1066. https://doi.org/10.1016/j.energy.2019.03.155.
Wang, Y., Z. Sun, and Z. Chen. 2019c. “Energy management strategy for battery/supercapacitor/fuel cell hybrid source vehicles based on finite state machine.” Appl. Energy 254 (Nov): 113707. https://doi.org/10.1016/j.apenergy.2019.113707.
Wang, Y., Z. Sun, X. Li, X. Yang, and Z. Chen. 2019d. “A comparative study of power allocation strategies used in fuel cell and ultracapacitor hybrid systems.” Energy 189 (Dec): 116142. https://doi.org/10.1016/j.energy.2019.116142.
Wang, Z., J. Mao, Z. He, and F. Liang. 2020. “Fuzzy control based on IQPSO in proton-exchange membrane fuel-cell temperature system.” J. Energy Eng. 146 (5): 4020044. https://doi.org/10.1061/(ASCE)EY.1943-7897.0000691.
Yue, M., S. Jemei, R. Gouriveau, and N. Zerhouni. 2019. “Review on health-conscious energy management strategies for fuel cell hybrid electric vehicles: Degradation models and strategies.” Int. J. Hydrogen Energy 44 (13): 6844–6861. https://doi.org/10.1016/j.ijhydene.2019.01.190.
Zhao, Z., T. Wang, M. Li, H. Wang, and Y. Wang. 2021. “Optimization of fuzzy control energy management strategy for fuel cell vehicle power system using a multi-island genetic algorithm.” Energy Sci. Eng. 9 (4): 548–564. https://doi.org/10.1002/ese3.835.
Zhou, W., L. Yang, Y. Cai, and T. Ying. 2018. “Dynamic programming for new energy vehicles based on their work modes part ii: Fuel cell electric vehicles.” J. Power Sources 407 (Dec): 92–104. https://doi.org/10.1016/j.jpowsour.2018.10.048.
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© 2022 American Society of Civil Engineers.
History
Received: Mar 8, 2022
Accepted: Aug 10, 2022
Published online: Nov 22, 2022
Published in print: Feb 1, 2023
Discussion open until: Apr 22, 2023
ASCE Technical Topics:
- Algorithms
- Artificial intelligence and machine learning
- Computer programming
- Computing in civil engineering
- Electric power
- Energy consumption
- Energy engineering
- Energy sources (by type)
- Engineering fundamentals
- Engineering materials (by type)
- Fuzzy logic
- Highway transportation
- Infrastructure
- Materials engineering
- Mathematics
- Particles
- Power transmission
- Renewable energy
- Transportation engineering
- Vehicles
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