Please use this identifier to cite or link to this item: http://elar.urfu.ru/handle/10995/131282
Title: Energy Management and Control in Multiple Storage Energy Units (Battery–Supercapacitor) of Fuel Cell Electric Vehicles
Authors: Sayed, K.
Abdel-Khalek, S.
Zakaly, H. M. H.
Aref, M.
Issue Date: 2022
Publisher: MDPI
Citation: Sayed, K, Abdel-Khalek, S, Zakaly, HMH & Aref, M 2022, 'Energy Management and Control in Multiple Storage Energy Units (Battery–Supercapacitor) of Fuel Cell Electric Vehicles', Materials, Том. 15, № 24, 8932. https://doi.org/10.3390/ma15248932
Sayed, K., Abdel-Khalek, S., Zakaly, H. M. H., & Aref, M. (2022). Energy Management and Control in Multiple Storage Energy Units (Battery–Supercapacitor) of Fuel Cell Electric Vehicles. Materials, 15(24), [8932]. https://doi.org/10.3390/ma15248932
Abstract: This paper presents a new approach of energy management for a fuel cell electric vehicle traction system. This system includes a supercapacitor, a traction battery of valve-regulated sealed lead–acid type, a high-performance permanent magnet traction system, and a power electronics converter. Special attention was placed on the coordination for managing the flow of energy from several sources to treat the concerns of prolonged electric vehicle mileage and battery lifetime for drivetrains of electric vehicles. Connection to a supercapacitor in parallel with the electric vehicle’s battery affects electric vehicle battery lifetime and its range. The paper used a study case of an all-electric train, but the used methods can be applied on hybrid or electric train cases. Fuzzy logic control and proportional integral control methods were used to control the electric vehicle system. The results of these two control methods were examined and compared. The simulation results were compared between the proposed electric vehicle system and the traditional system to show the effectiveness of the proposed method. Comparison of waveforms was made with and without the supercapacitor. The proposed optimized energy management strategy could improve the overall performance of the hybrid system and reduce the power consumption. © 2022 by the authors.
Keywords: AUTOMOTIVE APPLICATIONS
DC POWER SUPPLY
EFFICIENCY
ELECTRIC VEHICLE
ENERGY MANAGEMENT SYSTEM
SUPERCAPACITOR
ELECTRIC MACHINE CONTROL
ELECTRIC POWER SYSTEM CONTROL
ENERGY MANAGEMENT
ENERGY MANAGEMENT SYSTEMS
FUEL CELLS
FUEL STORAGE
FUZZY LOGIC
HYBRID SYSTEMS
HYBRID VEHICLES
PERMANENT MAGNETS
SECONDARY BATTERIES
TRACTION CONTROL
TWO TERM CONTROL SYSTEMS
AUTOMOTIVE APPLICATIONS
BATTERY LIFETIME
CONTROL METHODS
DC POWER SUPPLY
ELECTRIC TRAINS
ENERGY UNITS
FUEL CELL ELECTRIC VEHICLE
MANAGEMENT AND CONTROLS
STORAGE ENERGY
VEHICLE SYSTEM
SUPERCAPACITOR
URI: http://elar.urfu.ru/handle/10995/131282
Access: info:eu-repo/semantics/openAccess
cc-by
License text: https://creativecommons.org/licenses/by/4.0/
SCOPUS ID: 85144612902
WOS ID: 000904111600001
PURE ID: 33224580
b410bd14-5aad-46a3-84e6-a30838b71ba6
ISSN: 1996-1944
DOI: 10.3390/ma15248932
metadata.dc.description.sponsorship: Taif University, TU
Taif University Researchers Supporting Project number (TURSP-2020/154), Taif University, Taif, Saudi Arabia.
Appears in Collections:Научные публикации ученых УрФУ, проиндексированные в SCOPUS и WoS CC

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