Please use this identifier to cite or link to this item: https://hdl.handle.net/20.500.13091/1207
Title: Optimal Control Strategy to Maximize the Performance of Hybrid Energy Storage System for Electric Vehicle Considering Topography Information
Authors: Sadeq, Taha
Wai, Chew Kuew
Morris, Ezra
Tarboosh, Qazwan A.
Aydoğdu, Ömer
Keywords: Batteries
Supercapacitors
Roads
Energy Storage
Dc-Dc Power Converters
Topology
Energy Management
Electric Vehicles
Energy Storage
Energy Management
Navigation
Model-Predictive Control
Multiobjective Optimization
Management-System
Simulation
Capacitors
Powertrain
Time
Issue Date: 2020
Publisher: IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
Abstract: This research designed an energy management system involving a battery-supercapacitor Hybrid Energy Storage System (HESS) for electric vehicles (EV). The objective is to improve the performance of the HESS by combining battery and supercapacitor features, accounting for topographical information to guarantee continuous hybridization during the drive cycle. Contour Positioning System (CPS) was used to determine the slope of the rode travelled by the vehicle. Two adaptive algorithms were designed for a rule-based controller to control the energy shared between the battery and the supercapacitor; an optimal adaptive controller and fuzzy adaptive controller. The HESS model, electric vehicle and controllers were tested using MATLAB/Simulink with three real drive cycles, namely, uphill, downhill and city tour, in three different speeds 50Km/h, 60Km/h and 70 Km/h. The results proved the controllers managed to extend battery life-cycle by reducing the stress on the battery for the drive cycles. The results were compared in terms of energy consumption for the optimal adaptive rule-based controller and fuzzy adaptive rule-based controller. The optimal adaptive rule-based controller guaranteed the HESS was able to operate continuously and extend the number of drive cycles in a wide range of speeds and road slopes.
URI: https://doi.org/10.1109/ACCESS.2020.3040869
https://hdl.handle.net/20.500.13091/1207
ISSN: 2169-3536
Appears in Collections:Mühendislik ve Doğa Bilimleri Fakültesi Koleksiyonu
Scopus İndeksli Yayınlar Koleksiyonu / Scopus Indexed Publications Collections
WoS İndeksli Yayınlar Koleksiyonu / WoS Indexed Publications Collections

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