2022
DOI: 10.1002/er.7848
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Modular energy management system with Jaya algorithm for hybrid energy storage in electric vehicles

Abstract: Summary Increasing the energy efficiency in hybrid energy storage‐based electric vehicles is among the important research areas. Energy sharing in such vehicles is possible with an efficient and optimum energy management system. In this study, a Jaya‐based modular energy management system is proposed to optimize power sharing between battery and ultracapacitor for an electric vehicle. In this system, battery is connected to DC bus directly, and ultracapacitor is connected via a bidirectional DC‐DC converter. T… Show more

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Cited by 5 publications
(2 citation statements)
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“…30 Rule-based and fuzzy-based EMS is employed in the majority of the EV works with hybrid energy sources. 31 A frequency-based power allocation strategy is widely accepted in hybrid source EMS due to its reliability in implementation and real-time operation and lower computational cost. 32 Power allocation among the sources is carried out using a low pass or high pass filter (high frequency for SC and low frequency for battery).…”
Section: Introductionmentioning
confidence: 99%
“…30 Rule-based and fuzzy-based EMS is employed in the majority of the EV works with hybrid energy sources. 31 A frequency-based power allocation strategy is widely accepted in hybrid source EMS due to its reliability in implementation and real-time operation and lower computational cost. 32 Power allocation among the sources is carried out using a low pass or high pass filter (high frequency for SC and low frequency for battery).…”
Section: Introductionmentioning
confidence: 99%
“…Furthermore, the proposed EMS design in the study titled "Modular Energy Management System with Jaya Algorithm for Hybrid Energy Storage in Electric vehicles" (Demircali, Akif, 2022) [43] aims to enhance the performance of a hybrid energy storage system (HESS)-powered electric vehicle. When comparing the Jaya-based EMS to the rulebased SMS, significant improvements become evident.…”
mentioning
confidence: 99%