Commande et gestion de l’énergie d’un véhicule électrique

نظرا إلى التهديدات التي يواجهها العالم بسبب ظاهرة الاحتباس الحراري في الغلاف الجوي صار البحث عن بديل للسيارات ذات محرك الاحتراق الداخلي هدف من أهداف البحث العلمي الصناعي و الأكاديمي أيضا, كون هذه الأخيرة تعتبر من أخطر مصادر الغاز السام. لذا صارت السيارات الكهربائية الحل الأنسب لدرجة تلقيبها بصديقة البيئة، وكمشروع في مختبر LMSE بهدف المساهمة في تطوير تقنيات التحكم و تسيير طاقة السيارة الكهربائية، قدمنا في هذه الأطروحة دراسة و عرض مفصل لتقنيات تصميم سيارة كهربائية انطلاقا من القوى الفيزيائية المعرضة لها و الخصائص الديناميكية المرغوب فيها. كما تم تسهيل نمذجة النظام الكهروميكانيكي لهذا النوع من السيارات من خلال تبني تقنية حديثة تسمى العرض الطاقوي المبين. و بما يخص تقنيات التحكم، قمنا بتصميم نظام تحكم ذاتي يعتمد على المنطق الغامض و البنية العالية للتحكم بخصائص ديناميكية ذاتية التغير وفقا لنسبة الطاقة المتبقية في البطارية. وفي ما يخص تسيير الطاقة قمنا بنمذجة مولد هجين مكون من خلايا الوقود و بطاريات ذات قدرة عالية، كما تم تطوير نظام تسيير و تحكم توزيع طاقة هذا المولد هجين إعتمادا على تقنية في وضع الانزلاق و التحكم المسطح. كما نجد في هذه الأطروحة دراسة بالمحاكاة لإثبات نجاح و صلابة الأنظمة المقترحة للتحكم و تسيير طاقة السيارة الكهربائي

Interference Management Based on Meta-Heuristic Algorithms in 5G Device-to-Device Communications

Device-to-Device (D2D) communication is an emerging technology that is vital for the future of cellular networks, including 5G and beyond. Its potential lies in enhancing system throughput, offloading the network core, and improving spectral efficiency. Therefore, optimizing resource and power allocation to reduce co-channel interference is crucial for harnessing these benefits. In this paper, we conduct a comparative study of meta-heuristic algorithms, employing Genetic Algorithms (GAs), Particle Swarm Optimization (PSO), Bee Life Algorithm (BLA), and a novel combination of matching techniques with BLA for joint channel and power allocation optimization. The simulation results highlight the effectiveness of bio-inspired algorithms in addressing these challenges. Moreover, the proposed amalgamation of the matching algorithm with BLA outperforms other meta-heuristic algorithms, namely, PSO, BLA, and GA, in terms of throughput, convergence speed, and achieving practical solutions

A Comprehensive Review of Recent Research Trends on Unmanned Aerial Vehicles (UAVs)

The growing interest in unmanned aerial vehicles (UAVs) from both the scientific and industrial sectors has attracted a wave of new researchers and substantial investments in this expansive field. However, due to the wide range of topics and subdomains within UAV research, newcomers may find themselves overwhelmed by the numerous options available. It is therefore crucial for those involved in UAV research to recognize its interdisciplinary nature and its connections with other disciplines. This paper presents a comprehensive overview of the UAV field, highlighting recent trends and advancements. Drawing on recent literature reviews and surveys, the review begins by classifying UAVs based on their flight characteristics. It then provides an overview of current research trends in UAVs, utilizing data from the Scopus database to quantify the number of scientific documents associated with each research direction and their interconnections. This paper also explores potential areas for further development in UAVs, including communication, artificial intelligence, remote sensing, miniaturization, swarming and cooperative control, and transformability. Additionally, it discusses the development of aircraft control, commonly used control techniques, and appropriate control algorithms in UAV research. Furthermore, this paper addresses the general hardware and software architecture of UAVs, their applications, and the key issues associated with them. It also provides an overview of current open source software and hardware projects in the UAV field. By presenting a comprehensive view of the UAV field, this paper aims to enhance our understanding of this rapidly evolving and highly interdisciplinary area of research

Abstracts of the First International Conference on Advances in Electrical and Computer Engineering 2023

This book presents extended abstracts of the selected contributions to the First International Conference on Advances in Electrical and Computer Engineering (ICAECE'2023), held on 15-16 May 2023 by the Faculty of Science and Technology, Department of Electrical Engineering, University of Echahid Cheikh Larbi Tebessi, Tebessa-Algeria. ICAECE'2023 was delivered in-person and virtually and was open for researchers, engineers, academics, and industrial professionals from around the world interested in new trends and advances in current topics of Electrical and Computer Engineering. Conference Title: First International Conference on Advances in Electrical and Computer Engineering 2023Conference Acronym: ICAECE'2023Conference Date: 15-16 May 2023Conference Venue: University of Echahid Cheikh Larbi Tebessi, Tebessa-AlgeriaConference Organizer: Faculty of Science and Technology, Department of Electrical Engineering, University of Echahid Cheikh Larbi Tebessi, Tebessa-Algeri