Sabeur Jemmali

Ecole Nationale d'Ingénieurs de Souss | Eniso · Department of Electronics

State of Charge (SoC) of Lithium-ion battery is a key parameter in battery management systems for electric vehicles. This paper uses the fundamental theory of the smooth variable structure filter (SVSF) and proposes a SoC estimation algorithm for a Manganese Cobalt (NMC) cell with a nominal capacity of 20 Ah. Several tests are conducted considering...

The precision of equivalent circuit model (ECM)-based state of charge (SoC) estimation methods is vulnerable to the variation of the battery parameters, due to several internal and external factors. In this regard, this study proposes a fuzzy logic method for the approximate estimation of the ECM parameters at different temperatures and SoC levels....

The precision of equivalent circuit model (ECM)-based state of charge (SoC) estimation methods is vulnerable to the variation of the battery parameters, due to several internal and external factors. In this regard, this study proposes a fuzzy logic method for the approximate estimation of the ECM parameters at different temperatures and SoC levels....

The computational efficiency is a challenging task in the real‐time implementation of battery State of Charge (SoC) estimation algorithms in Electric Vehicle (EV) application. This study proposes for the first time a pure hardware architecture of a Smooth Variable Structure Filter (SVSF) to estimate the SoC of a lithium‐ion battery in an EV. The pr...

The State of Charge monitoring is a key operation for the safety and reliability of electric vehicles. The Extended Kalman Filter (EKF) is a powerful algorithm that enables an accurate estimation of the SoC under noisy measurement conditions. However, its real‐time implementation needs a higher computation burden and lots of resources. To achieve a...

The market of Lithium‐ion batteries has been growing strongly around the world for several years, especially the Nickel Manganese Cobalt Oxide (NMC) battery type which supplies almost all electric vehicles. This popularity requires optimal energy management and this needs precise modeling of the behavior of batteries for vehicular use. In this arti...

In our day the use of Lithium ion battery has considerably increased, especially to feed light electrical vehicle (LEV) application. These types of batteries need careful attention to avoid deep discharge and overcharge. Therefore, a battery management system is mandatory for the real-time monitoring of their main parameters i.e state of charge (So...

Considering the expanding use of embedded devices equipped with rechargeable batteries, especially Li-ion batteries that have higher power and energy density, the battery management system is becoming increasingly important. In fact, the estimation accuracy of the amount of the remaining charges is critical as it affects the device operational auto...

Accurate modeling of the nonlinear relationship between the open circuit voltage (OCV) and the state of charge (SOC) is required for adaptive SOC estimation during the lithium-ion (Li-ion) battery operation. Online SOC estimation should meet several constraints, such as the computational cost, the number of parameters, as well as the accuracy of th...

In this paper, we introduce an algorithm based on an adaptive Kalman filter algorithm for estimating the state of charge of low capacity Li-ion batteries. Using the first order model with a static characterization, good results have been reached and the algorithm converges even with random initial SoC values and has represented no cumulative error...

Lithium-Ion based batteries are quite popular thanks to their good electrical characteristics but they risk to be damaged when they are overcharged or deeply discharged. In order to avoid these problems, Lithium-Ion batteries require an accurate state of charge determination to extend their lifetime and hence protect the equipment they supply. In t...

Ce papier présente, en première temps, des équations de type SPICE élaborées pour le développement d'un modèle du transistor d 'état d'une cellule de type EEPROM. La seconde partie est consacrée pour l'implantation du modèle en VHDL-AMS en statique, en opération effacement, et d'écriture.

This paper presents an application concerning the SDRAM memory using Vamspicedesigner 1. Vamspicedesigner, is a tool created by the ET ENST Paris for aiding the design of multi-technological systems. For that, it uses free tools a schematic Electric^TM, a compiler VHDL-AMS SPICE named Vamspice and SPICE OPUS as a simulator. A block box an...

Cette thèse a pour thème la contribution à lélaboration de méthodologies et doutils daide à la conception de systèmes multi-technologiques. Ces travaux de recherche et de développement s'inscrivent dans le cadre dun projet européen portant sur la simulation basée sur les spécifications et les indicateurs de performance au regard des effets thermiqu...

During the past years, a lot of works have been done about behavioral models and simulation tools. But a need of modeling strategy still remains. We present a possible strategy of modeling multitechnological (electric and nonelectric) systems by using VamSpiceDesigner, created by GET/ENST, containing free tools as a hierarchical schematics, a VHDL-...