Prototype Implementation of Advanced Electric Vehicles Drivetrain System: Verification and Validation

Faculty Engineering Year: 2020
Type of Publication: ZU Hosted Pages: 114807-114832
Authors:
Journal: Applied Energy ELSEVIER Volume:
Keywords : Prototype Implementation , Advanced Electric Vehicles Drivetrain    
Abstract:
The design of high-efficient green means of transportation has become a real worldwide challenge, particularly to cope with the due sustainable development commitments. Accordingly, the realization and the development of a full electric drive system, as a drivetrain, for Electric Vehicles (EVs) has become necessary while considering the proper power and control circuits. Enhancing the efficiency of the energy conversion in EV’s powertrain can be conveniently performed through the proposed advanced control technique. This paper presents the prototype design and modelling of an all-in-one EV for industrial, educational and research activities. The proposed electric drivetrain, with its inherent flexibility advantage, enables verifying hardware and software solutions. The EV prototype consists of a 1.1 kW induction AC drive. The advanced electric drive system (EDS) is implemented as a novel part of the EV. This original EDS consists of power switches IGBT modules, advanced gate drivers, position and phase current sensors, and interface circuits. This EDS is governed by a non-commercial digital control tool TMS320F28335 DSP programmed by C++ in code composer studio (CCS). The advanced gate drivers are used for isolating and amplifying the control signals to the power switches. The advanced indirect field-oriented control (FOC) technique is used for torque and speed control of the AC drive. For adjusting the level of the rotor flux at random load variation circumstances, two control modes are adopted: flux-increased control (FIC) and flux-limited control (FLC). The design of the full EV prototype together with the integrated electric vehicle drivetrain (EVD) are presented. Consequently, experiments and simulations are performed to validate the significance of using such proposed two-mode controller. Through simulation analysis, the new EVD used for the EV set-up is verified. The simulation results demonstrate lower drawn supply currents with the proposed control technique. Thus, the energy conversion process becomes more efficient due to the increased power transmitted from the battery to wheels. The experimental setup for the novel EVD is integrated. The proposed two-mode control technique is experimentally verified considering random accelerator pedal as a reference torque input. The results illustrate the significant performance of using the proposed cascaded FIC and FLC techniques in EVs owing to the smooth and efficient transition between the modes. The different tests and measurements illustrate the usability of the proposed EVD as an ideal alternative to the commercial AC drives in favor of its developmental flexibility, commercialization-independency, and affordability.
   
     
 
       

Author Related Publications

  • Hytham Saad Mohamed Ramadan, "Efficient and Sustainable Reconfiguration of Distribution Networks via Metaheuristic Optimization", IEEE, 2022 More
  • Hytham Saad Mohamed Ramadan, "Efficient experimental energy management operating for FC/battery/SC vehicles via hybrid Artificial Neural Networks-Passivity Based Control", ELSEVIER, 2021 More
  • Hytham Saad Mohamed Ramadan, "Hydrogen storage technologies for stationary and mobile applications: Review, analysis and perspectives", ELSEVIER, 2021 More
  • Hytham Saad Mohamed Ramadan, "Efficient metaheuristic utopia-based multi-objective solutions of optimal battery-mix storage for microgrids", ELSEVIER, 2021 More
  • Hytham Saad Mohamed Ramadan, "Optimal reconfiguration for vulnerable radial smart grids under uncertain operating conditions", ELSEVIER, 2021 More

Department Related Publications

  • Amal Farouk Abdelgawad Badaawi, "Experimental Estimation of the Fault Location for the Transmission Line from One End", PSP 2006, Bled, Slovenia, 2006 More
  • Amal Farouk Abdelgawad Badaawi, "Short-Term Load Forecasting Investigation in Egyptian Electrical Network Using ANNs", UPEC2007, University of Brighton, UK, 2007 More
  • Attia Abdelaziz Hussien Ali, "Optimal dynamic operation and modeling of parallel connected multi-stacks fuel cells with improved slime mould algorithm", Elsevier, 2021 More
  • Ahmed Mohamed Othman Abdelmaksoud, "Optimal dynamic operation and modeling of parallel connected multi-stacks fuel cells with improved slime mould algorithm", Elsevier, 2021 More
  • Ahmed Fathy Mohamed Ali Ali, "Estimating the optimal parameters of solid oxide fuel cell-based circuit using parasitism-predation algorithm", Wiley, 2021 More
Tweet