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Modeling, Simulation and Performance Comparison of Conventional Vehicle Against Three Configurations of Hybrid Vehicles

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In the last two decades, an extensive research work has been conducted in the automotive industry to develop and improve vehicles’ performance. Different vehicular powertrain configurations such as electric vehicles, hybrid ICE/battery vehicles, and recently hybrid FC/battery vehicles have been investigated to find more efficient alternatives for conventional combustion engines vehicles. Because of the many hybrid and electrical vehicle configurations and powertrain technologies, modeling and simulation of such vehicles are very important tools for final design development.  Simulation saves time and cost in predicting performance, selecting powertrain components, and tuning control systems. In this paper, three hybrid vehicle models are developed and tested based on forward looking modeling technique and utilizing the Powertrain System Analysis Toolkit (PSAT) software package. Unlike most of the literature, this paper shows more details about sizing of the major components of the proposed powertrains. The main hybrid powertrain components were sized such that acceptable drivability, performance, and fuel economy are achieved. The performance of developed vehicle models is compared with an internal combustion engine (ICE) Nissan Sunny vehicle model using a non-standard driving cycle that was developed to reflect a local driving pattern. The hybrid models under investigation are hybrid fuel cell/battery vehicle, and two hybrid ICE/battery vehicles; one with series configuration, and the other with parallel configuration.  The performance of the models is investigated in terms of fuel economy, drivability, emissions, and efficiency. The introduced simulation results demonstrate that the hybrid FC/battery configuration performs the best and is consequently recommended as the powertrain of choice for future vehicles.
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Hybrid Vehicle; Modeling and Simulation; Powertrain Sizing; Performance Comparison

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