Empowering Fuel Cell Electric Vehicles Towards Sustainable Transportation: An Analytical Assessment, Emerging Energy Management, Key Issues, and Future Research Opportunities

被引:5
作者
Rahman, Tuhibur [1 ]
Miah, Md. Sazal [2 ]
Karim, Tahia F. [3 ]
Lipu, Molla Shahadat Hossain [1 ]
Fuad, Abu M. [4 ]
Islam, Zia Ul [1 ]
Ali, M. M. Naushad [1 ]
Shakib, Mohammed Nazmus [1 ]
Sahrani, Shafrida [5 ]
Sarker, Mahidur R. [5 ,6 ]
机构
[1] Green Univ Bangladesh, Dept Elect & Elect Engn, Narayanganj 1461, Bangladesh
[2] Federat Univ Australia, Ctr New Energy Transit Res, Mt Helen, Vic 3353, Australia
[3] Univ Asia Pacific, Dept Elect & Elect Engn, Dhaka 1205, Bangladesh
[4] Univ Scholar, Dept Elect & Elect Engn, Dhaka 1212, Bangladesh
[5] Univ Kebangsaan Malaysia, Inst Visual Informat, Bangi 43600, Selangor, Malaysia
[6] Nebrija Univ, Ind Engn & Automot, Campus Dehesa Villa,Calle Pirineos,55, Madrid 28040, Spain
关键词
fuel cell electric vehicle; energy management; controller; optimization; artificial intelligence; FAULT-TOLERANT CONTROL; HYBRID POWER-SYSTEM; DC-DC CONVERTER; PREDICTIVE CONTROL; CONTROL STRATEGY; STORAGE SYSTEM; NATURAL-GAS; HYDROGEN; OPTIMIZATION; BATTERY;
D O I
10.3390/wevj15110484
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
Fuel cell electric vehicles (FCEVs) have received significant attention in recent times due to various advantageous features, such as high energy efficiency, zero emissions, and extended driving range. However, FCEVs have some drawbacks, including high production costs; limited hydrogen refueling infrastructure; and the complexity of converters, controllers, and method execution. To address these challenges, smart energy management involving appropriate converters, controllers, intelligent algorithms, and optimizations is essential for enhancing the effectiveness of FCEVs towards sustainable transportation. Therefore, this paper presents emerging energy management strategies for FCEVs to improve energy efficiency, system reliability, and overall performance. In this context, a comprehensive analytical assessment is conducted to examine several factors, including research trends, types of publications, citation analysis, keyword occurrences, collaborations, influential authors, and the countries conducting research in this area. Moreover, emerging energy management schemes are investigated, with a focus on intelligent algorithms, optimization techniques, and control strategies, highlighting contributions, key findings, issues, and research gaps. Furthermore, the state-of-the-art research domains of FCEVs are thoroughly discussed in order to explore various research domains, relevant outcomes, and existing challenges. Additionally, this paper addresses open issues and challenges and offers valuable future research opportunities for advancing FCEVs, emphasizing the importance of suitable algorithms, controllers, and optimization techniques to enhance their performance. The outcomes and key findings of this review will be helpful for researchers and automotive engineers in developing advanced methods, control schemes, and optimization strategies for FCEVs towards greener transportation.
引用
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页数:53
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共 184 条
[41]   Fuel cell hybrid electric vehicle (FCHEV): Novel fuel cell/SC hybrid power generation system [J].
Fathabadi, Hassan .
ENERGY CONVERSION AND MANAGEMENT, 2018, 156 :192-201
[42]   Novel fuel cell/battery/supercapacitor hybrid power source for fuel cell hybrid electric vehicles [J].
Fathabadi, Hassan .
ENERGY, 2018, 143 :467-477
[43]   Artificial Intelligence/Machine Learning in Energy Management Systems, Control, and Optimization of Hydrogen Fuel Cell Vehicles [J].
Fayyazi, Mojgan ;
Sardar, Paramjotsingh ;
Thomas, Sumit Infent ;
Daghigh, Roonak ;
Jamali, Ali ;
Esch, Thomas ;
Kemper, Hans ;
Langari, Reza ;
Khayyam, Hamid .
SUSTAINABILITY, 2023, 15 (06)
[44]   Real-time self-adaptive Q-learning controller for energy management of conventional autonomous vehicles [J].
Fayyazi, Mojgan ;
Abdoos, Monireh ;
Phan, Duong ;
Golafrouz, Mohsen ;
Jalili, Mahdi ;
Jazar, Reza N. ;
Langari, Reza ;
Khayyam, Hamid .
EXPERT SYSTEMS WITH APPLICATIONS, 2023, 222
[45]   Fuel cell electric vehicle as a power plant and SOFC as a natural gas reformer: An exergy analysis of different system designs [J].
Fernandes, A. ;
Woudstra, T. ;
van Wijk, A. ;
Verhoef, L. ;
Aravind, P. V. .
APPLIED ENERGY, 2016, 173 :13-28
[46]   An Energy Management Strategy to concurrently optimise fuel consumption & PEM fuel cell lifetime in a hybrid vehicle [J].
Fletcher, Toni ;
Thring, Rob ;
Watkinson, Martin .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2016, 41 (46) :21503-21515
[47]   Estimating the technical feasibility of fuel cell and battery electric vehicles for the medium and heavy duty sectors in California [J].
Forrest, Kate ;
Mac Kinnon, Michael ;
Tarroja, Brian ;
Samuelsen, Scott .
APPLIED ENERGY, 2020, 276
[48]   A hierarchical energy management strategy for fuel cell/battery/supercapacitor hybrid electric vehicles [J].
Fu, Zhumu ;
Li, Zhenhui ;
Si, Pengju ;
Tao, Fazhan .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2019, 44 (39) :22146-22159
[49]   Simulation research on a novel control strategy for fuel cell extended-range vehicles [J].
Geng, Cong ;
Jin, Xiaofei ;
Zhang, Xin .
INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2019, 44 (01) :408-420
[50]   Comparative Life-Cycle-Assessment analysis of three major water electrolysis technologies while applying various energy scenarios for a greener hydrogen production [J].
Gerloff, Niklas .
JOURNAL OF ENERGY STORAGE, 2021, 43