Szerző szerinti böngészés "Babangida, Aminu"
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Tétel Szabadon hozzáférhető Bond Graph Modeling, Simulation, and Control of Permanent Magnet Linear Synchronous Motor(2022-12-31) Babangida, Aminu; Husi, Géza; Szemes, PéterThe high-performance feature of the Permanent Magnet Linear Synchronous Motor (PMLSM) makes it a reliable and valuable motor for use in the automotive industry, especially for electric vehicle (EVs) applications. This research proposes a bond graph approach in modeling the PMLSM as a multi-domain dynamical system. However, A time-based simulation was performed using 20-sim software to simulate the dynamical behavior of the motor. An equivalent model of the motor was first obtained and then modeled and simulated using 20-sim software. The model of the PMLSM drive system was modeled separately and incorporated with PMLSM Motor equivalent model to form a global model. Moreover, the motor drive system response was studied based on the sensor resolutions and the inverter switching frequency. The block diagram and the transfer function methods validated the bond graph model obtained. Two classical PIs such as continuous and discrete were implemented on the motor response to control the velocity of the motor.Tétel Szabadon hozzáférhető Bond Graph Modeling, Simulation, and Control of Permanent Magnet Linear Synchronous Motor: PMLSM Motor Based EVs Applications(2022) Babangida, Aminu; Husi, Géza; Szemes, Péter TamásTétel Korlátozottan hozzáférhető COMPARISON OF SIMPLIFIED AND COMPLEX MODELS OF A THREE-PHASE PERMANENT MAGNET BRUSHLESS DIRECT CURRENT MOTOR IN ELECTRIC VEHICLESGhareeb, Abdullah Waheeb Jaffer Omer; Babangida, Aminu; DE--Műszaki KarOne of the most viable options presented for eliminating environmental concerns while keeping energy efficiency in the field of mobility and transportation, is electrical vehicles (EV). The overall performance of the electrical vehicles can be determined by their electric motors. The utilization of the permanent magnet brushless direct current (PMBLDC) motors as an applicable selection for the electrification of the vehicles. In this research, a deep examination and performance evaluation of the use of PMBLDC motors in electric vehicles, in precise a comparison of a simplified and complex models of a three-phase, 4-pole Y-connected PMBLDC motor was performed. Performance evaluation and enhancement and assessment of behavior under ambient temperatures and various controlling algorithms, was done by creating the models using MATLAB/Simulink environment. The research resulted in optimizing the overall performance of the motor as well as the full electric powertrain.Tétel Embargó alatt Design of a smart predictive maintenance system for automotive components using MATLABMuhammad, Abubakar Dalhatu; Babangida, Aminu; DE--Műszaki KarThe design of a longitudinal smart predictive maintenance system for automotive components using MATLAB is presented. Advantages of predictive maintenance are emphasized, while Remaining Useful Life (RUL) estimation, Prognostics and Health Management (PHM), and Digital Twins are considered as key concepts. Methods are sought to integrate Machine Learning (ML) algorithms into forecasting, a methodology developed for predictive maintenance model development of a quarter car suspension using simulated fault data, and of an automotive engine using public datasets. The paper presents and discusses results, and later concludes with the areas of the benefits of the method in terms of predicting and improving the target performance of the models.Tétel Szabadon hozzáférhető Development and Fuel Economy Optimization of Series-Paral- 2 lel Hybrid Powertrain for Van Style VW Crafter Vehicle(2025) Abdelbaky, Ahmed Nabil Farouk; Babangida, Aminu; Kunya, Abdullahi B.; Szemes, Péter TamásTétel Szabadon hozzáférhető Development of a Volkswagen Jetta MK5 Hybrid Vehicle for Optimized System Efficiency Based on a Genetic Algorithm(2024) Neamah, Husam A.; Dulaimi, Mohammed; Silavinia, Alaa; Babangida, Aminu; Szemes, Péter TamásTétel Szabadon hozzáférhető Development of Hybrid Electric Powertrain of Redesigned Volkswagen Crafter with Online Data Acquisition System(2025) Babangida, Aminu; Tamás Szemes, Péter; Babangida, Aminu; Informatikai tudományok doktori iskola; Informatikai KarThe function of an energy management strategy (EMS) in electric vehicles (EVs) is to ensure optimal performance conditions for the vehicles in terms of fuel economy and reduced toxic gas emissions. In the Volkswagen (VW) of the Department of Vehicles Engineering hybrid powertrain, a 2.0 turbocharged direct injection common rail (TDI CR) diesel engine is integrated with a permanent magnet synchronous electrical machine (PMSM) to minimize the vehicle consumption and gas emissions. This dissertation presents the development of a hybrid VW Crafter, implemented with a novel methodology based on an online data acquisition (DAQ) approach for analyzing the vehicle controller area network (CAN) bus in electrical drives. To facilitate the feasibility of transforming an internal combustion engine (ICE) powered vehicle into a hybrid, the vehicle CAN bus data is collected using LabVIEW software, which is based on the hardware-in-the-loop (HIL) method, decoded with the help of a database (DBC) file and analyzed by redesigning the Crafter based on the data measurements conducted and complemented by the model-in-the-loop (MIL) method on the basis of the physical background plant descriptions of the vehicle components with a computer-aided simulation (CAS) in MATLAB/Simulink/Simcape environment. This work analyses the vehicle’s traction using mathematical descriptions of the vehicle to validate its exact power source, considering trade-offs between vehicle size, battery size, engine type, vehicle mass, driving range, and fuel consumption, as well as battery capacity fade over time and its life cycles. Moreover, EMS using a proportional integral derivative-based genetic algorithm (GA-PID), proposing an integral time absolute error (ITAE) as a fitness function, is developed to allocate load demand to the power source, reducing fuel consumption and carbon dioxide (CO_2) emissions. Therefore, the vehicle's pure, conventional, and hybrid versions are developed and compared. The effectiveness of the proposed EMS is verified by the proportional integral-based particle swarm optimization (PSO-PI) and fractional order proportional integral derivative (FOPID) strategies for the hybrid powertrain. This research reduces fuel consumption, CO_2 emissions, and energy consumption by 68.620%, 70.840%, and 25.080%, respectively.Tétel Embargó alatt Development of Series Parallel Hybrid Vehicle for a 2022 Van type Volkswagen Crafter for an Optimized System EfficiencyAbdelbaky, Ahmed Nabil Farouk; Babangida, Aminu; DE--Műszaki KarThis study describes the conversion of a 2022 Volkswagen Crafter (VW) 35 TDI340 delivery van from a conventional diesel powertrain into a series–parallel hybrid electric vehicle (HEV). A downsized 1.5 L diesel engine and an electric motor-generator unit are integrated via a planetary power-split device, supported by a high-voltage lithium-ion battery. A MATLAB/Simulink model of the hybrid system is developed, and its speed-tracking PID controller is optimized using genetic algorithms and particle-swarm methods. Simulation results show significant efficiency gains: for example, average fuel consumption falls from 9.952 to 6.913 L/100 km (a 30.5% saving) and CO₂ emissions drop from 260.8 to 181.0 g/km (79.8 g reduction), while vehicle range on a 75 L tank grows by ~43.3% (from 785.7 to 1126.0 km). The optimized series–parallel design greatly improves urban driving economy and reduces emissions without sacrificing performance.Tétel Szabadon hozzáférhető Dynamic Modeling and Control Strategy Optimization of a Volkswagen Crafter Hybrid Electrified Powertrain(2024) Babangida, Aminu; Szemes, Péter TamásTétel Szabadon hozzáférhető Electric Vehicle Modeling and Simulation of Volkswagen Crafter with 2.0 TDI CR Diesel Engine(2021-12-30) Babangida, Aminu; Szemes, Péter TamásThe Internal Combustion Engine (ICE) used by conventional vehicles is one of the major causes of environmental global warming and air pollutions. However, the emission of toxic gases is harmful to the living. Electric propulsion has been developed in modern electric vehicles to replace the ICE. The research is aimed at using both Simulink and SIMSCAPE toolboxes in a MATLAB to model the vehicle. This research proposes a Volkswagen (VW) crafter with a 2.0 diesel TDI CR engine, manufactured in 2020. An electric power train, a rear-wheel driven, based on Permanent Magnet Synchronous Motor (PMSM) was designed to replace the front-wheel driven, diesel engine of the VW conventional vehicle. In this research, a Nissan leaf battery of a nominal voltage of 360 V, 24 kWh capacity was modeled to serve as the energy source of the overall system. A New European Drive Cycle (NEDC) was used in this research. Another test input such as a ramp was also used to test the vehicle under different road conditions. However, a Proportional Integral (PI) controller was developed to control both the speed of the vehicle and that of the synchronous motor. Different drive cycles were used to test the vehicle. The vehicle demonstrated good tracking capability with each type of test. In addition, this research found out that there is approximately about 19% more benefit in terms of fuel economy of electric vehicles than the conventional vehicles.Tétel Szabadon hozzáférhető Electric Vehicle Modeling and Simulation of Volkswagen Crafter with 2.0 TDI CR Diesel Engine: VW Vehicle 2020 Based PMSM Propulsion(Debreceni Egyetem) Babangida, Aminu; Szemes, Péter TamásTétel Szabadon hozzáférhető Electric Vehicle Modeling and Simulation of Volkswagen Crafter with 2.0 TDI CR Diesel Engine: VW Vehicle 2020 Based PMSM Propulsion(2021) Babangida, Aminu; Szemes, Péter TamásTétel Embargó alatt Hybrid renewable energy system for a residential loadOgunmoyela, Ayooluwa; Babangida, Aminu; Adebiyi, Seyi; DE--Műszaki KarThis paper discusses the effective use of hybrid renewable energy sources such as wind and solar energy in a MATLAB Simulink environment. The application of these hybrid systems is useful for the analysis and simulation of real-time renewable hybrid power systems. The project model is built with multiple electrical blocks for simple simulation analysis. Component blocks like the Solar photovoltaic (PV) model, wind turbine model, battery model, energy conversion, and load were used in the modeling and simulation of this project. The comparison of different sources was also carried out to show the need for hybridization to improve efficiency and reliability. Implementing this model showed how hybrid renewable energy systems can be employed as a better and continuous energy supply.Tétel Korlátozottan hozzáférhető Modeling and Simulation of Hybrid Model of Volkswagen Golf 4 VehicleHussaini, Aliyu Aliyu; Babangida, Aminu; DE--Műszaki KarThe thesis explores the transformation of the Volkswagen Golf 4 into a hybrid electric vehicle through comprehensive modelling and simulation using MATLAB/Simulink. It reviews existing hybrid vehicle technologies and energy management strategies, identifying key areas like energy recuperation, control dynamics, and thermal management. Three configurations are modelled—conventional internal combustion engine (ICE), electric vehicle (EV), and hybrid vehicle—to analyse dynamic performance under various driving conditions. The hybrid model combines an ICE with an electric motor, employing regenerative braking to enhance energy efficiency and reduce emissions. Simulations using standard driving cycles demonstrate the hybrid system's advantages, such as improved fuel economy and environmental impact. The study provides practical insights into retrofitting conventional vehicles for sustainable mobility, addressing challenges in energy management and system integration. It aims to bridge the gap between traditional and electric vehicle technologies, contributing to advancements in green automotive solutions.Tétel Korlátozottan hozzáférhető MPC based Frequency Control of an Autonomous Microgrid Integrated with Electric Vehicles(2025) Kunya, Abdullahi B.; Mundu, Muhamad M.; Babangida, Aminu; Szemes, Péter TamásPublikáció Szabadon hozzáférhető Neural Network-based Finite-time Control of Nonlinear Systems with Unknown Dead-zones: Application to Quadrotors(2022) Muhammad, Maaruf; Babangida, Aminu; Neamah, Husam A.; Szemes, Péter TamásTétel Korlátozottan hozzáférhető Nonlinear Automotive Vehicle Suspension System Integrated With Enhanced PID ControllerGubio, Sherif; Babangida, Aminu; DE--Műszaki KarThis work presents a comprehensive study on a Nonlinear Quarterly Car Passive Suspension System (PSS), designed to address the dynamic challenges encountered in modern vehicles. This novel method combines sophisticated control algorithms with nonlinear elements to enhance the performance of the vehicle. The flexibility of the system to adjust to changing driving preferences and road circumstances is highlighted while delving into the design's essential elements. In order to monitor and alter suspension characteristics in real-time and provide the best ride comfort and vehicle stability.Tétel Szabadon hozzáférhető Optimal Control Design and Online Controller-Area-Network Bus Data Analysis for a Light Commercial Hybrid Electric Vehicle(2023) Babangida, Aminu; Odazie, Chiedozie Maduakolam Light; Szemes, Péter TamásTétel Embargó alatt Optimal Control Design for Mechatronics Vehicle Suspension SystemSoliman, Mina; Babangida, Aminu; DE--Műszaki KarThis thesis focuses on optimizing vehicle suspension systems by comparing Passive, Traditional PID, Fuzzy-PID, and PSO-PID controllers. The study evaluates key metrics such as Tire Deflection, Body Displacement, Body Acceleration, Suspension Travel, and Actuator Force under various road disturbances. Simulation results show that Fuzzy-PID and PSO-PID significantly outperform Passive and Traditional PID controllers by reducing oscillations, stabilizing faster, and enhancing ride comfort. The analysis emphasizes the trade-offs between system performance and energy efficiency. These findings demonstrate the potential for advanced controllers to improve modern vehicle dynamics, ensuring both safety and passenger comfort.Tétel Szabadon hozzáférhető Optimal Design of Linear Quadratic Regulator for Vehicle Suspension System Based on Bacterial Memetic Algorithm(2025) Magaji, Bala Abdullahi; Babangida, Aminu; Kunya, Abdullahi B.; Szemes, Péter Tamás