An electric circuit model for a lithium-ion battery cell based on automotive drive cycles measurements

Khalfi, Jaouad; Boumaaz, Najib; Soulmani, Abdallah; Laadissi, El Mehdi

doi:10.11591/ijece.v11i4.pp2798-2810

Cited by 11 publications

(8 citation statements)

References 28 publications

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“…As mentioned before, the interest is focused in the wind-PV hybrid system and more precisely, the one with battery storage [8], [9] and with a connection to the public distribution networks. All its elements will be dissected later.…”

Section: Modeling Of the Hybrid System Under Studymentioning

confidence: 99%

Ecological impact due to the implementation of a modeled and optimized hybrid system

Echarradi

Benlafkih

Hadjoudja

et al. 2023

IJECE

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<span lang="EN-US">This paper presents a very alarming forecasts about our future and particularly for a medium and long-term future. That is to say, several actions are being carried out by different civil and state parties to deal with these very concrete threats. And it is within this framework that this paper fits, and its objective is to highlight the hybrid systems and more precisely the photovoltaic-wind hybrid systems coupled with storage batteries, as an efficient alternative to the classical means of electricity production. This work will adopt a method of obtaining results called performance evaluation, so this manuscript will present firstly the mathematical model of this hybrid system to best conceive what it is about, then as second part will determine the exact figures of the largest amount of carbon dioxide (CO<sub>2</sub>) that can be avoided using this technology and following a precise methodology, this can be applied to our situation, i.e., a simple house or to any other type of installation.</span>

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Section: Modeling Of the Hybrid System Under Studymentioning

confidence: 99%

Ecological impact due to the implementation of a modeled and optimized hybrid system

Echarradi

Benlafkih

Hadjoudja

et al. 2023

IJECE

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“…Archimedes optimization algorithm (AOA) [24] This manuscript covered the modeling aspects of the Li-ion battery and its parameter estimation. Trust Region-Reflective and Levenberg-Marquardt algorithms are tested.…”

Section: Npc Modulation Approachmentioning

confidence: 99%

Neural network based novel controller for hybrid energy storage system for electric vehicles

Sharma

Boora²

2023

IJEECS

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This manuscript deals with the various control strategies of storage system for an electrical vehicle. High demands in the electrical systems in the field of transportations leads to various challenges and more precise control and regulations techniques. Apart from the conventional grid system now a days the integration of renewable energy systems like solar, wind and fuel cell system leads to more complex system but these system shares the load from conventional generating system. This paper deals with the study and control aspects of the electrical vehicles associated with hybrid energy storage (HES) systems. In general, when systems are integrated with the main grid there are more distortions and ripples in the system. To reduce these distortions various control techniques are used. This paper proposes a neural network-based PI (NNPI) controller for HES system for electric vehicles for better distortion less outputs.

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“…It is necessary to establish a model of the vehicle's mechanical and electrical components, because the implementation of the EMS depends on the mass, acceleration and speed of the studied EV. Thus, the different mechanical and electrical component models have been collected and organized by subsystems in Figure 2, referring to the modeling approaches described in the literature [10], [18]- [22]. This approach enables to establish a functional description of a multiphysics energy system and ensure the design of the control layer [23], [24].…”

Section: Ev System Modelingmentioning

confidence: 99%

Fuzzy logic-based energy management strategy on dual-source hybridization for a pure electric vehicle

Jbari

Askour²,

Idrissi³

2022

IJECE

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This paper presents a fuzzy logic controller (FLC) based energy management strategy (EMS), combined with power filtering for a pure electric vehicle. The electrical power supply is provided by a hybrid energy storage system (HESS), including Li-Ion battery and supercapacitors (SCs), adopting a fully active parallel topology. The vehicle model was organized and constructed using the energetic macroscopic representation (EMR). The main objective of this work is to ensure an efficient power distribution in the proposed dual source, in order to reduce the battery degradation. To evaluate the impact of the developed design and the efficiency of the developed EMS, the proposed FLC strategy is compared to a classical EMS using SCs-filtering strategy and architecture based on battery storage model. To validate the proposed topology, simulation results are provided for the new European driving cycle (NEDC) using MATLAB/Simulink environment.

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An electric circuit model for a lithium-ion battery cell based on automotive drive cycles measurements

Cited by 11 publications

References 28 publications

Ecological impact due to the implementation of a modeled and optimized hybrid system

Ecological impact due to the implementation of a modeled and optimized hybrid system

Neural network based novel controller for hybrid energy storage system for electric vehicles

Fuzzy logic-based energy management strategy on dual-source hybridization for a pure electric vehicle

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