Research Projects

Main Objective

The project aims to improve the operational safety of industrial systems and optimize energy quality through the integration of the Internet of Things (IoT). It combines real-time monitoring, automated diagnostics, and the development of fault-tolerant solutions to enhance the reliability and efficiency of industrial systems.

Approach and Methodology

• Monitoring and Data Collection:
  • Use of IoT for data acquisition and sharing via shared databases.
  • Automation of collection, processing, and diagnostics in various sectors (industry, energy, electric traction, etc.).
• Fault-Tolerant Solutions:
  • Design of fault-tolerant power converters for various applications (solar, wind, hydraulic, electrical grid, etc.).
  • Reduction of dependence on imports through local development of these technologies.
• Real-Time Energy Audit:
  • Data analysis to evaluate energy quality (harmonics, reactive power, ohmic losses).
  • Optimization of energy consumption and extension of equipment lifespan.

Expected Impacts and Results

• Reliability Improvement: Proactive monitoring and fault-tolerant solutions to reduce downtime and maintenance costs.
• Energy Optimization: Reduction of energy bills and improvement of energy quality in industrial networks.
• Technological Innovation: Development of power converter prototypes and IoT systems adapted to local needs.
• Collaboration and Sharing: Pooling of data and solutions among Algerian researchers to accelerate innovation.

Key Project Stages

• Integration of IoT for recording and diagnostics in an industrial environment.
• Data sharing via dedicated platforms to promote collaboration between researchers.
• Development of fault-tolerant solutions, particularly for power converters.
• Optimization of energy quality in industrial networks.

Application Sectors

• Renewable Energies: Solar, wind, hydraulic.
• Industry: Electric traction, energy management, electromagnetic compatibility.
• Electrical Networks: Energy quality, harmonics management, loss reduction.

Main Objective

The project aims to design, optimize, and build a magnetic separator capable of purifying iron ores containing non-magnetic elements. This separator will selectively extract iron particles of micrometric granulometry and different magnetic properties, using a magnetic field generated by a drum with a special configuration.

Context and Problem

Iron ores often contain non-magnetic impurities (such as zinc) that reduce their quality and market value. The efficient separation of ferromagnetic particles (𝜇r >>) from paramagnetic particles (𝜇r >>) requires an adapted magnetic field and an optimized separator configuration. This project aims to address this challenge by taking into account technical, economic, and operational constraints.

Approach and Methodology

• Simulation of the Separation Problem:
  • Adaptation of existing models to simulate magnetic separation in the specific context of the ore to be processed.
  • Introduction of new operating conditions (granulometry, magnetic properties, concentration, etc.).
• Separator Optimization:
  • Global optimization of the separator taking into account several parameters:
  • Granulometry and magnetic nature of particles: Size and magnetic properties of particles to be separated.
  • Magnetic field configuration: Intensity, gradient, and distribution of the magnetic field.
  • Mechanical aspects: Drum rotation speed, feed rate, etc.
• Prototype Development:
  • Design and construction of a prototype based on optimization results.
  • Testing and validation under real conditions with different types of ores.

Expected Impacts and Results

• Economic Impact: Valorization of local iron ores by improving their purity and thus their market value.
• Technological Innovation: Development of a magnetic separator adapted to the specific characteristics of Algerian ores.
• Industrial Application: Transfer of technology to the mining industry for large-scale implementation.
• Scientific Contribution: Advancement of knowledge in the field of magnetic separation and optimization of related processes.

Key Project Stages

• Characterization of ores and definition of separation objectives.
• Modeling and simulation of the magnetic separation process.
• Optimization of separator parameters.
• Design and construction of the prototype.
• Testing and validation under real conditions.
• Analysis of results and potential for industrial scale-up.

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Main Objective

The project aims to design and develop a high-performance main inverter for electric vehicle traction systems. This inverter will convert DC power from batteries into AC power to drive the electric motor, with a focus on efficiency, reliability, and integration with renewable energy sources.

Context and Problem

Electric mobility is a key component of the energy transition. The main inverter is a critical element in electric vehicles, directly affecting their performance, range, and reliability. This project addresses the need for locally developed inverters adapted to specific conditions and integrated with renewable energy charging systems.

Approach and Methodology

• Design and Simulation:
  • Advanced modeling of power electronics components and control systems.
  • Simulation of various operating conditions and optimization of performance parameters.
• Prototype Development:
  • Implementation of optimized designs using state-of-the-art components.
  • Integration of advanced cooling systems and protection mechanisms.
• Testing and Validation:
  • Comprehensive testing under various load conditions and environmental factors.
  • Performance evaluation in terms of efficiency, thermal management, and reliability.

Expected Impacts and Results

• Technological Innovation: Development of high-performance inverters adapted to local needs and conditions.
• Energy Efficiency: Optimization of energy conversion to maximize vehicle range and performance.
• Integration with Renewable Energy: Design compatibility with solar and other renewable energy charging systems.
• Economic Impact: Reduction of dependence on imported components and development of local expertise.

Key Project Stages

• Requirements analysis and specification definition.
• Design and simulation of inverter topologies.
• Prototype development and initial testing.
• Integration with electric motor and control systems.
• Performance optimization and validation.
• Documentation and preparation for potential industrialization.

Main Objective

The project aims to address challenges related to electric vehicle (EV) battery charging and onboard energy storage management while minimizing charging time through the optimization of switching converters and battery characteristics. Additionally, it proposes a sustainable solution to anticipate the growing demand for electricity driven by the widespread adoption of EVs by integrating smart grids powered by renewable energy sources (solar or wind).

Context and Challenges

With the proliferation of electric vehicles, two major challenges emerge:

• Battery Charging: Reducing charging time while optimizing onboard energy storage efficiency.
• Impact on the Power Grid: A fleet of 5 million electric vehicles could require up to 5 GW of additional power, leading to demand peaks that are difficult to manage, especially during peak hours (8 AM, 12 PM, 6 PM). These peaks could strain the power grid, requiring massive investments to prevent instability and blackouts.

Approach and Methodology

• Battery Charging Optimization:
  • Switching Converters: Optimizing converters to reduce charging time while maximizing energy efficiency.
  • Battery Characteristics: Adjusting battery specifications to improve storage capacity and lifespan.
• Onboard Energy Storage Management:
  • Development of energy management systems (BMS - Battery Management System) to optimize the use of stored energy in vehicles.
• Integration of Smart Grids Powered by Renewables:
  • Energy Storage Points: Deployment of smart grids powered by renewable sources (solar or wind) to meet demand peaks and stabilize the power grid.
  • Applications:
  • Rest Areas: Installation of solar charging stations along highways, particularly on trans-Saharan routes.
  • Remote Areas: Deployment of modular solutions for regions far from the main power grid.
• Modular Design of Solar Charging Systems:
  • 15 kW Prototype: Designed with a centralized "string" modular architecture, composed of 5 kW sub-units.
  • Scalability: Ability to duplicate sub-units to achieve higher power levels (e.g., 45 kW with 9 sub-units of 5 kW each).
  • Advantages:
  • Flexibility and adaptability to growing needs.
  • Cost reduction through sub-unit standardization.

Innovations and Proposed Solutions

• Renewable Smart Grids: Integration of renewable energy sources to stabilize the power grid and meet demand peaks.
• Modular Architecture: Scalable and flexible design to adapt to future needs.
• Converter Optimization: Reduced charging time and improved energy efficiency.
• Smart Energy Management: Use of energy management systems (BMS) to optimize onboard energy storage and usage.

Expected Outcomes

• An optimized EV charging system that reduces charging time and improves energy efficiency.
• Renewable-powered smart grids capable of meeting demand peaks and stabilizing the power grid.
• A scalable modular architecture, enabling easy adaptation to growing energy demands.

Applications and Impacts

• Electric Vehicles: Improved battery range and efficiency.
• Power Grid: Reduced demand peaks and grid stabilization through renewable smart grids.
• Environment: Contribution to the energy transition by integrating renewable sources.
• Economy: Lower infrastructure costs thanks to modular and scalable architecture.

Main Objective

This project aims to design and develop educational lab equipment for practical coursework (TP) in foundational and specialized electrical engineering subjects. These standardized, durable models will incorporate pedagogical features such as real-time data access and visualization to enhance learning and teaching.

Context and Challenges

Hands-on training is essential in electrical engineering, but existing lab equipment is often expensive, inflexible, or outdated. This project proposes an open-source solution to create modular, cost-effective, and pedagogically optimized models while integrating modern technologies like 3D printing and PCB engraving.

Approach and Methodology

• Equipment Design:
  • Modules covered: Power electronics, electrical machines, electromagnetism.
  • Safety compliance: Meets international standards for safe and sustainable use.
• Prototyping and Manufacturing:
  • Technologies used: 3D printing, CNC engraving.
  • File sharing: Open-source platforms like GitHub.
• Pedagogical Integration:
  • Data visualization: Access to key metrics (voltage, current, power).
  • Video tutorials: Guides for designing and using the equipment.
  • Workshops: Training for instructors and students.

Innovations and Proposed Solutions

• Open-source approach for easy and cost-effective replication.
• Modular design adaptable to different educational levels.
• Digital integration: 3D printing and CNC engraving to reduce costs.
• Active learning: Student involvement in design processes.

Expected Outcomes

• An open-source library of educational lab equipment.
• Standard-compliant models.
• A sharing platform (GitHub) with files, tutorials, and guides.
• A user community contributing to continuous improvement.

Applications and Impacts

• Enhanced teaching and learning conditions.
• Development of practical skills and student creativity.
• Cost reduction for academic institutions.
• Contribution to pedagogical innovation and knowledge sharing.