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صفحه اصلی
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The 5th International Conference on Electrical Machines and Drives
An Integrated Design and Simulation Framework for Hybrid Electric Vehicle: A Case Study on the Logan Vehicle Platform
نویسندگان :
AmirHossein Azad
1
David Flynn
2
1- Arak University of Technology
2- University of Glasgow
کلمات کلیدی :
Hybrid Electric Vehicle،Powertrain،Batteries،Electrical Drives،Neural Networks،Driving Cycle
چکیده :
This paper presents a comprehensive design and simulation framework for a parallel hybrid electric vehicle (HEV) based on the Logan vehicle platform. The process involves addressing various challenges, including selecting the optimal configuration, modeling each element, choosing the best approach from multiple angles, and applying an effective control strategy for managing the energy system. A parallel hybrid configuration was chosen for this study. Subsequently, the electric drivetrain, which includes the internal combustion engine, electric motor, control strategy, and lithium-polymer battery pack with a five-stage constant-current charging method, was modeled and simulated using ADVISOR and MATLAB/Simulink. A modified competitive neural network-based control method was used to manage the electric motor, enabling effective drive control. This, combined with an optimized rule-based energy management system, ensured improved system performance. High-fidelity models and real-world data were used throughout to ensure the accuracy of the results. The integrated system was evaluated using the CYC_UDDS urban driving cycle. Simulation results confirmed the system's performance and accuracy under realistic driving conditions.
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