This paper presents methods of controlling a hybrid energy storage system (HESS) operating in a microgrid with renewable energy sources and uncontrollable loads.
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This research underscores the potential of intelligent control strategies in advancing the efficiency, flexibility, and reliability of modern hybrid energy management systems.
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This study presents a hybrid energy storage system (HESS) and energy management strategy (EMS) based on the designed state-space fuzzy control (SSFC) technique that uses a
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To overcome this, we propose a novel fuzzy control-based strategy for hybrid energy storage systems (HESS) that combines flywheel and lithium battery technologies to assist in
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In the recent era, hybrid electric vehicle (HEV) is becoming popular due to their attractive features of energy saving and less air pollution. This paper aimed at designing a hybrid electric
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To improve the energy control effect of electric vehicles, this paper investigates the energy management strategy (EMS) of the hybrid energy storage system (HESS) composed of lithium batteries and
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Abstract: To improve the performance of the energy storage system of electric vehicles, a complete ensemble empirical mode decomposition-fuzzy logic control energy management strategy is
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An Integrated Energy Management System (EMS) was proposed employing fuzzy logic as a solution to manage the energy needs of loads in this work.
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To address this issue, this paper proposes a coordinated control strategy based on neuro-fuzzy networks, applied to a hybrid energy storage system (HESS) composed of batteries and
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The paper presents an Adaptive Neuro-Fuzzy Inference System (ANFIS) - smart energy management scheme for a grid-connected hybrid power conversion system integrating photovoltaic
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