Abstract
Plug-in hybrid electric vehicles (PHEVs) were introduced in response to rising environmental challenges facing the automotive sector. Of the three primary PHEV architectures, power-split architectures tend to provide greater efficiencies than the other ones; however, they also demonstrate more complicated dynamics. In this study, the problem of optimising the component sizes of a power-split PHEV was addressed in an effort to exploit the flexibility of this powertrain system and further improve the vehicle's fuel economy, using a Toyota plug-in Prius as the baseline vehicle. Autonomie software was used to develop the vehicle model. The engine's maximum power and the electric motor's maximum power were considered as the design variables. The genetic algorithm approach was employed to solve the optimisation problem. Comparing to the baseline vehicle, a significant reduction in fuel consumption was achieved thorough the sizing process for various drive cycles of FTP, HWFET and EPA. The model was validated against a MapleSim multi-domain model.
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