This study focuses on the optimal sizing and energy management strategy of HESS, which are critical for enhancing the performance and viability of these systems in EVs.
Abstract alternative but face a crucial challenge in their battery-based Energy Storage System (ESS). The solution to the battery issues is comb ning it with other ESS with high power density called a
This study introduces an innovative power-split approach for hybrid energy storage systems (HESS) and diesel generators, utilizing frequency decoupling and a combination of classical
In this article, a control strategy based on the combination of Q‐learning and fuzzy logic control approaches is presented for tuning the parameters of a utilized two‐stage variable time
This article focuses on the pivotal role of Low Pass Filters (LPFs) within HESS for EVs, facilitating seamless power flow. The novelty lies in the comprehensive review of LPFs in this context, shedding
Article on Self-learning low-pass filter for energy management of hybrid energy storage electric vehicles, published in Energy Storage and Saving on 2026-01-01 by Hari Maghfiroh+2. Read
To address these issues, hybrid energy storage systems (HESSs) that combine batteries with supercapacitors have been introduced. This study proposes a self-learning low-pass filter (SL
This study offers valuable insights for improving energy management in electric vehicles and underscores the potential of the RPFT method in extending battery lifespan and enhancing the
This study aims to develop a novel hybrid energy storage system (HESS) with an adaptive digital filter-based energy management strategy (ADFBEMS) for electric vehicles (EVs).
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