DSpace at UMBB
The institutional repository of the University M'Hamed Bougara Of Boumerdes is a digital archive that contains the scientific output of the University. Dspace manages, preserves and provides access to the academic works of UMBB.
Communities in DSpace
Select a community to browse its collections.
Recent Submissions
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.
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.
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
دراسة وقياس أثر سعر الصرف على أداء سوق الأوراق المالية التونسية خلال الفترة (1999-2022) باستخدام نموذج Ardl
(المركز الجامعي إليزي, 2025) بلفاطمي, رمزي; علواش, وردة
هدفت هذه الدراسة إلى قياس أثر سعر الصرف على أداء سوق الأوراق المالية التونسية خلال الفترة (1999-2022)، وذلك بالاعتماد على نموذج (ARDL) من خلال اختبار التكامل المشترك. بعد القيام بعملية التقدير والتقييم تم التوصل إلى نتيجة تؤكد وجود تكامل مشترك بين المؤشر الخاص بسعر الصرف (الرقم القياسي لسعر الصرف الفعلي الحقيقي (2010=100)) ومؤشر أداء سوق الأوراق المالية (المؤشر العام لأسعار الأسهم (توناندكس))، بالإضافة إلى التأكد من وجود الأثر العكسي المعنوي بينهما في الأجل الطويل.
دراسة كمية تحليلية للعلاقة بين أداء سوق الأوراق المالية والنمو الاقتصادي في قطر خلال الفترة (2000-2020)
(جامعة تيسمسيلت, 2024) بلفاطمي, رمزي; علواش, وردة
هدفت هذه الدراسة إلى قياس وتحليل العلاقة بين أداء سوق الأوراق المالية والنمو الاقتصادي في قطر خلال الفترة (2000-2020)، وذلك بالاعتماد على نموذج (ARDL) من خلال اختبار التكامل المشترك. توصلنا بعد التقدير والتقييم إلى نتيجة مفادها وجود تكامل مشترك بين إجمالي الناتج المحلي والمؤشر العام لأسعار الأسهم في بورصة قطر مع التأكيد على التأثير الإيجابي والمعنوي بينهما في المدى الطويل والقصير