AUTHOR=Mounica V. , Obulesu Y. P. 

TITLE=An energy management scheme for improving the fuel economy of a fuel cell/battery/supercapacitor-based hybrid electric vehicle using the coyote optimization algorithm (COA)

JOURNAL=Frontiers in Energy Research

VOLUME=Volume 11 - 2023

YEAR=2023

URL=https://www.frontiersin.org/journals/energy-research/articles/10.3389/fenrg.2023.1180531

DOI=10.3389/fenrg.2023.1180531

ISSN=2296-598X

ABSTRACT=This study describes a multi-input power system that is suited for fueling electric automobiles, InterCitys, in addition airplanes, particularly in situations with significant fluctuating load demand. The dual framework utilizes fuel cells (FC), batteries, and ultracapacitors (SCs). Energy management approach (EMS) remains a critical aspect of lowering overall hydrogen consumption and minimizing the degradation of FC functionality. A novel EMS is suggested that is focused on a novel optimization method known as the Coyote optimization algorithm (COA) and considers that the total load is adequately supplied within the limitations of each power source. The suggested strategy's major goal is to reduce the system's total hydrogen consumption. By maximizing the power generated by the energy storage devices, the energy acquired from the FC is reduced. In comparison to other optimization methods, the COA would be a practical, effective, and relatively straightforward optimizer that only involves a limited number of controlling factors to be set. The framework application MATLAB/Simulink was used to create the proposed method. In order to show the effectiveness of the proposed methodology, a study with several different conventional techniques is performed, which would include the classic proportional-integral control mechanism, the frequency decoupling with state machine (FDSM) controlling technique, the equivalent consumption minimization scheme (ECMS), and the external energy minimization scheme (EEMS). The efficacy of the algorithm and also the FC's aggregate H2 usage serve as the comparison's focal points in this work. The outcomes demonstrated that the recommended COA strategy is superior and more effective than the alternative approaches.