Design and Simulation of Hybrid Electric Samand using Parallel Electric Assist Control Strategy

Publish Year: 1389
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:

ISME18_412

تاریخ نمایه سازی: 1 تیر 1389

Abstract:

In this paper we have studies the conversion of Samand to a parallel hybrid electric vehicle. In the first step conventional Samand vehicle using real data for vehicle parameters and power train components, have been simulated. Simulation results are validated using experimental results of fuel consumption for three urban, extra urban and combined driving cycles. Partnership for the next generation of vehicles (PNGV) constraints is considered as the minimum performance requirements for a passenger car. In the second step using parallel electric assist control strategy (PEACS) for the hybrid electric vehicle and considering performance requirements, the internal combustion engine is downsized and the electric machine and battery pack are selected and sized for a pretransmission parallel hybrid electric configuration. PEACS parameters are defined and studied for the performance and fuel economy modes. Induction motor and permanent magnet traction motors beside two types of battery pack including valve regulated lead acid (VRLA) and Nickel metal hydride (NiMH) batteries are studied as the candidate motor/battery combinations.Results show a reduction of 23% in fuel consumption (FC) for the hybrid vehicle in the fuel economy mode for the NEDC driving cycle with respect to the conventional version while satisfying minimum vehicle performance.

Keywords:

Parallel Hybrid Electric Vehicle , ParallelElectric Assist Control Strategy , Simulation , Driving Cycle

Authors

Seyed Yasha Parvini Oskoui

Master of Science Candidate, Sharif University Of Technology, Faculty of Science & Engineering

Gholamreza Vossoughi

Associate Professor, Sharif University Of Technology, Faculty of Science & Engineering

Seyed Mohammad Navid Khatami

Ph.D. Candidate, University of Central Florida, College of Engineering and Computer Science