Browsing by Author "Zermout, Abdelaziz"

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Battery's Data Transmission Protocol
(Algerian journal of signals and system, 2025) Zermout, Abdelaziz; Saidi, Yasmine; Kaddour, Djillali; Belaid, Hadjira; Adaika ,Omnia; Bahoussi, Nedjwa
This paper examines developing and implementing a robust communication protocol designed for real-time monitoring and control of battery systems. The implemented system gathers critical data from the battery, including voltage, current, and State of Charge (SoC). This data is transmitted to a Raspberry Pi microcontroller at five-second intervals. The Raspberry Pi serves as an intermediary, forwarding the data to a dedicated webpage for visualization and analysis. Furthermore, the data is stored in an InfluxDB database, facilitating long-term storage and utilization. This database supports the generation of graphical representations, thereby enhancing the interpretation of battery performance trends and enabling informed decision-making regarding battery management strategies. The comprehensive nature of this system provides real-time insights into battery health and performance, ensuring effective monitoring and control across various applications.
Design and implementation of web-based management system. Case of the "IGEE" registrar's office.
(2021) Meslem, Toufik Abdelrezak; Zermout, Abdelaziz; Namane, Rachid (Supervisor)
This project proposes a technical solution to automate the management of the registrar’s office “service de scolarité” of our institute. The objective of this project is, therefore, to build a web based application for the automation of the registrar’s office work mainly the final deliberation. The application should facilitate the work of both the office stuff and the faculty members. Faculty members “Teachers” submit their grades of their concerned students for every course assigned to them through the web application. Thereafter, the application calculates students’ averages, and generates the final deliberation transcripts for all promotions.
Implementation of Battery Characterization System
(MDPI, 2023) Zermout, Abdelaziz; Belaidi, Hadjira; Maache, Ahmed
The successful transfer toward green renewable energy depends heavily on good, reliable Energy Storage Systems (ESS). Lithium-ion batteries are the preferred choice for many applications; however, they need careful management, especially an accurate State-Of-Charge (SOC) estimation. Hence, in this paper an overview of some SOC estimation methods is briefly described; then, an automated battery cell test system prototype that will enable further improvement is designed and implemented. Some tests are conducted on an aged lithium-ion cell and the obtained results are satisfactory and accurate with an error of around 0.5 × 10−3 (V or A), thus validating the proposed prototype.
Online estimation of state-of-charge using auxiliary load
(Erol Kurt, 2024) Zermout, Abdelaziz; Belaidi, Hadjira; Maache, Ahmed
Numerous approaches and methodologies have been established for online (while the load is supplied) estimation of the State-of-Charge of Lithium-ion cells and batteries. However, as battery load consumption fluctuates in real time because of delivered device operations, obtaining a precise online state of charge estimation remains a challenging task. This work proposes a new technique for online open circuit voltage measurement to estimate state of charge of batteries. This novel technique proposes the addition of an auxiliary regulated load that may be utilized to temporarily force specifically defined forms of the battery's current curve under particular conditions, which results in improving and simplifying online open circuit voltage computations. The effectiveness of the proposed technique was successfully validated through several experimental tests. The acquired findings demonstrated its efficiency with an acceptable online state of charge estimation accuracy. Typically, an estimation error of less than 2% was recorded in most tests, while the error was less than 1% when the battery's state of charge was high.
SoC estimation for optimal ESS’ energy management
(Université M'Hamed Bougara Boumerdès : Faculté de Technologie, 2025) Zermout, Abdelaziz; Belaidi, Hadjira(Directeur de thèse)
Battery energy storage systems have become indispensable to modern civilization, enabling the functionality of numerous advanced technologies, including high-performance smartphones, long-range electric vehicles, and various portable electronic, tools, and backup systems. The continuous advancement of battery technology is a key driver for future innovations. A crucial component of battery systems is the Battery Management System (BMS), which monitors and optimizes various operational parameters, including the State of Charge (SoC). SoC represents the remaining useful battery capacity relative to its total capacity, however it cannot be directly measured and must be estimated through computational techniques instead. While existing estimation methods have significantly improved in terms of accuracy and reliability, they remain challenged by complexity, sensitivity to operating conditions, and dependence on dynamic load behavior. Overcoming these challenges is essential for enhancing the performance and longevity of battery systems in next-generation applications. Our contribution is a novel estimation technique that periodically stimulates the battery with a predefined current profile during charging or discharging to determine its State of Charge (SoC). Since this method is not continuous, it is combined with Coulomb counting for calibration. The results demonstrated the method's efficiency and reliability, effectively overcoming dependency on environmental conditions and dynamic load behavior. Its key advantages include independence from operating conditions and dynamic load behavior, as well as, minimal computational complexity without sacrificing accuracy achieving an error of less than 1%. This ensures high reliability and efficiency with reduced complexity