Fuzzy Logic Controller for an EV’s Dual-Source Hybridization

Fuzzy Logic Controller for an EV’s Dual-Source Hybridization

This paper presents an energy management system (EMS) based on fuzzy logic control (FLC) strategy combined with power filtering. This strategy is developed for an Electric Vehicle (EV) hybrid energy storage systems (HESS). The proposed control and energy management strategy (EMS) aims to ensure an e...

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Main Authors: Jbari Hatim, Haidoury Mohamed, Askour Rachid, Bououlid Idrissi Badr
Format: Article
Language:English
Published: EDP Sciences 2021-01-01
Series:E3S Web of Conferences
Online Access:https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/73/e3sconf_iccsre21_01039.pdf
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spelling doaj-2b6cfa23ef864b4a945ec0aad7832a3e2021-09-23T11:41:28ZengEDP SciencesE3S Web of Conferences2267-12422021-01-012970103910.1051/e3sconf/202129701039e3sconf_iccsre21_01039Fuzzy Logic Controller for an EV’s Dual-Source HybridizationJbari HatimHaidoury MohamedAskour RachidBououlid Idrissi BadrThis paper presents an energy management system (EMS) based on fuzzy logic control (FLC) strategy combined with power filtering. This strategy is developed for an Electric Vehicle (EV) hybrid energy storage systems (HESS). The proposed control and energy management strategy (EMS) aims to ensure an efficient power split guaranteeing that battery and supercapacitors (SC) provide the continuous and transient-power, respectively, adopting a pure electric vehicle fully-active parallel topology. In order to develop the studied system model, the Energetic Macroscopic Representation (EMR) approach is adopted. Considering SC’s control criterion, and battery root mean square RMS current reducing, an evaluation of the proposed EMS and developed model was conducted using MATLAB/SIMULINK simulation under New European Driving Cycle (NEDC) and compared to the classical only battery storage configuration.https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/73/e3sconf_iccsre21_01039.pdf
collection DOAJ
language English
format Article
sources DOAJ
author Jbari Hatim
Haidoury Mohamed
Askour Rachid
Bououlid Idrissi Badr
spellingShingle Jbari Hatim
Haidoury Mohamed
Askour Rachid
Bououlid Idrissi Badr
Fuzzy Logic Controller for an EV’s Dual-Source Hybridization
E3S Web of Conferences
author_facet Jbari Hatim
Haidoury Mohamed
Askour Rachid
Bououlid Idrissi Badr
author_sort Jbari Hatim
title Fuzzy Logic Controller for an EV’s Dual-Source Hybridization
title_short Fuzzy Logic Controller for an EV’s Dual-Source Hybridization
title_full Fuzzy Logic Controller for an EV’s Dual-Source Hybridization
title_fullStr Fuzzy Logic Controller for an EV’s Dual-Source Hybridization
title_full_unstemmed Fuzzy Logic Controller for an EV’s Dual-Source Hybridization
title_sort fuzzy logic controller for an ev’s dual-source hybridization
publisher EDP Sciences
series E3S Web of Conferences
issn 2267-1242
publishDate 2021-01-01
description This paper presents an energy management system (EMS) based on fuzzy logic control (FLC) strategy combined with power filtering. This strategy is developed for an Electric Vehicle (EV) hybrid energy storage systems (HESS). The proposed control and energy management strategy (EMS) aims to ensure an efficient power split guaranteeing that battery and supercapacitors (SC) provide the continuous and transient-power, respectively, adopting a pure electric vehicle fully-active parallel topology. In order to develop the studied system model, the Energetic Macroscopic Representation (EMR) approach is adopted. Considering SC’s control criterion, and battery root mean square RMS current reducing, an evaluation of the proposed EMS and developed model was conducted using MATLAB/SIMULINK simulation under New European Driving Cycle (NEDC) and compared to the classical only battery storage configuration.
url https://www.e3s-conferences.org/articles/e3sconf/pdf/2021/73/e3sconf_iccsre21_01039.pdf
work_keys_str_mv AT jbarihatim fuzzylogiccontrollerforanevsdualsourcehybridization
AT haidourymohamed fuzzylogiccontrollerforanevsdualsourcehybridization
AT askourrachid fuzzylogiccontrollerforanevsdualsourcehybridization
AT bououlididrissibadr fuzzylogiccontrollerforanevsdualsourcehybridization
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