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Energy Management Fuzzy Logic Supervisory for Electric Vehicle Power Supplies System
Abstract
This paper introduces an energy management strategy based on fuzzy logic supervisory for road electric vehicle, combining a fuel cell power source and two energy storage devices, i.e., batteries and ultracapacitors. The control strategy is designed to achieve the high-efficiency operation region of the individual power source and to regulate current and voltage at peak and average power demand, without compromising the performance and efficiency of the overall system. A multiple-input power electronic converter makes the interface among generator, energy storage devices, and the voltage dc-link bus. Classical regulators implement the control loops of each input of the converter. The supervisory system coordinates the power flows among the power sources and the load. The paper is mainly focused on the fuzzy logic supervisory for energy management of a specific power electronic converter control algorithm. Nevertheless, the proposed system can be easily adapted to other converters arrangements or to distributed generation applications. Simulation and experimental results on a 3-kW prototype prove that the fuzzy logic is a suitable energy management control strategy.
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Cited by
Electric, Hybrid, and Fuel-Cell Vehicles: Architectures and Modeling
Chan, C. C., Bouscayrol, A., & Chen, K. (2010) · IEEE Transactions on Vehicular Technology · doi:10.1109/tvt.2009.2033605 · Cited by 792
Comparative analysis of bidirectional three-level DC–DC converter for automotive applications
Dusmez, S., Hasanzadeh, A., & Khaligh, A. (2015) · IEEE Transactions on Industrial Electronics · doi:10.1109/tie.2014.2336605 · Cited by 204
MMC-Based SRM Drives With Decentralized Battery Energy Storage System for Hybrid Electric Vehicles
Gan, C., Sun, Q., Wu, J., Kong, W., Shi, C., & Hu, Y. (2019) · IEEE Transactions on Power Electronics · doi:10.1109/tpel.2018.2846622 · Cited by 147
Metadata
- Authors
- Ferreira, A. A., Pomilio, J. A., Spiazzi, G., & de Araujo Silva, L.
- Venue
- IEEE Transactions on Power Electronics
- Published
- 2008-01
- Volume
- 23
- Issue
- 1
- Pages
- 107-115
- ISSN
- 0885-8993 (ISSN-L)
- OpenAlex
- W2103856062
- Cited by
- 327
- References
- 0
- FWCI
- 50.92
- Type
- journal article
- Language
- en
- Open access
- closed
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- CoChat. (2026). Citation check: Energy Management Fuzzy Logic Supervisory for Electric Vehicle Power Supplies System. https://app.cochat.ai/papers/10.1109/tpel.2007.911799
- The paper
- Ferreira, A. A., Pomilio, J. A., Spiazzi, G., & de Araujo Silva, L. (2008). Energy Management Fuzzy Logic Supervisory for Electric Vehicle Power Supplies System. IEEE Transactions on Power Electronics. https://doi.org/10.1109/tpel.2007.911799
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