The DOI matches its Crossref record; 18 of the 18 references it cites were found in a registry or an index.
A Comparative Study of Energy Management Schemes for a Fuel-Cell Hybrid Emergency Power System of More-Electric Aircraft
Abstract
This paper presents a comparative analysis of different energy management schemes for a fuel-cell-based emergency power system of a more-electric aircraft. The fuel-cell hybrid system considered in this paper consists of fuel cells, lithium-ion batteries, and supercapacitors, along with associated dc/dc and dc/ac converters. The energy management schemes addressed are state of the art and are most commonly used energy management techniques in fuel-cell vehicle applications, and they include the following: the state machine control strategy, the rule-based fuzzy logic strategy, the classical proportional–integral control strategy, the frequency decoupling/fuzzy logic control strategy, and the equivalent consumption minimization strategy. The main criteria for performance comparison are the hydrogen consumption, the state of charges of the batteries/supercapacitors, and the overall system efficiency. Moreover, the stresses on each energy source, which impact their life cycle, are measured using a new approach based on the wavelet transform of their instantaneous power. A simulation model and an experimental test bench are developed to validate all analysis and performances.
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Cites
A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles
Tremblay, O., Dessaint, L.-A., & Dekkiche, A.-I. (2007) · 2007 IEEE Vehicle Power and Propulsion Conference · doi:10.1109/vppc.2007.4544139 · Cited by 1,244
Self-citationEnergy-management system for a hybrid electric vehicle, using ultracapacitors and neural networks
Moreno, J., Ortuzar, M. E., & Dixon, J. W. (2006) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2006.870880 · Cited by 748
A Gouy–Chapman–Stern model of the double layer at a (metal)/(ionic liquid) interface
Oldham, K. B. (2008) · Journal of Electroanalytical Chemistry · doi:10.1016/j.jelechem.2007.10.017 · Cited by 613
A Comparative Study Of Supervisory Control Strategies for Hybrid Electric Vehicles
Pisu, P., & Rizzoni, G. (2007) · IEEE Transactions on Control Systems Technology · doi:10.1109/tcst.2007.894649 · Cited by 574
Optimal power management of an experimental fuel cell/supercapacitor-powered hybrid vehicle
Rodatz, P., Paganelli, G., Sciarretta, A., & Guzzella, L. (2005) · Control Engineering Practice · doi:10.1016/j.conengprac.2003.12.016 · Cited by 414
Amjadi, Z., & Williamson, S. S. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2009.2032195 · Cited by 366
Control Strategy of Fuel Cell and Supercapacitors Association for a Distributed Generation System
Thounthong, P., Rael, S., & Davat, B. (2007) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2007.896477 · Cited by 355
Power management and design optimization of fuel cell/battery hybrid vehicles
Kim, M.-J., & Peng, H. (2007) · Journal of Power Sources · doi:10.1016/j.jpowsour.2006.12.038 · Cited by 351
A Hybrid Fuel Cell Power System
Jin, K., Ruan, X., Yang, M., & Xu, M. (2009) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2008.2008336 · Cited by 331
Energy Management System of Fuel-Cell-Battery Hybrid Tramway
Garcia, P., Fernandez, L. M., Garcia, C. A., & Jurado, F. (2010) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2009.2034173 · Cited by 296
Cited by
Review on Control of DC Microgrids
Meng, L., Shafiee, Q., Ferrari Trecate, G., Karimi, H., Fulwani, D., Lu, X., & Guerrero, J. M. (2017) · IEEE Journal of Emerging and Selected Topics in Power Electronics · doi:10.1109/jestpe.2017.2690219 · Cited by 513
Developments of electric cars and fuel cell hydrogen electric cars
Wilberforce, T., El-Hassan, Z., Khatib, F. N., Al Makky, A., Baroutaji, A., Carton, J. G., & Olabi, A. G. (2017) · International Journal of Hydrogen Energy · doi:10.1016/j.ijhydene.2017.07.054 · Cited by 478
Supercapacitors: Electrical Characteristics, Modeling, Applications, and Future Trends
Berrueta, A., Ursua, A., Martin, I. S., Eftekhari, A., & Sanchis, P. (2019) · IEEE Access · doi:10.1109/access.2019.2908558 · Cited by 298
Liu, T., Zou, Y., Liu, D., & Sun, F. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2015.2475419 · Cited by 278
On-Board Microgrids for the More Electric Aircraft—Technology Review
Buticchi, G., Bozhko, S., Liserre, M., Wheeler, P., & Al-Haddad, K. (2019) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2018.2881951 · Cited by 270
Self-citation
Metadata
- Authors
- Njoya Motapon, S., Dessaint, L.-A., & Al-Haddad, K.
- Venue
- IEEE Transactions on Industrial Electronics
- Published
- 2014-03
- Volume
- 61
- Issue
- 3
- Pages
- 1320-1334
- ISSN
- 0278-0046 (ISSN-L)
- 1557-9948
- OpenAlex
- W2062445356
- Cited by
- 548
- References
- 18
- FWCI
- 42.00
- Type
- journal article
- Language
- en
- Open access
- closed
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- Njoya Motapon, S., Dessaint, L.-A., & 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. https://doi.org/10.1109/tie.2013.2257152
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Bibliographic data: Semantic Scholar, OpenAlex, Crossref.
Contains information from the Semantic Scholar Academic Graph Datasets, made available under the ODC Attribution License (ODC-BY 1.0).
Semantic Scholar’s data is described in: Kinney, R., et al. (2023). The Semantic Scholar Open Data Platform. arXiv:2301.10140.