Abstract
This article presents a unique configuration for the future development of the all-wheel drive (AWD) plug-in hybrid electric vehicle (PHEV), which has a mechanical connection to both the front and rear axles. The control methodology is designed for renewable energy sources to help reduce greenhouse gas emissions from the car tailpipe exhaust and to contribute to the preservation of the environment and thus reduce the severity of global warming. This AWD-PHEV configuration offers optimum vehicle performance in three different driving modes (EV, Series, and Parallel). The article covers the development of the complete model for implementation of the AWD-PHEV including all powertrains components/controllers, accessories, cooling systems, and hybrid control strategy designed inside supervisor hybrid controller unit (HCU). The simulation results were obtained during the US06 driving cycle to illustrate the vehicle’s performance, energy consumption, efficiencies, and the performances of the powertrain components.
This work was done while the author was at IAV Automotive Engineering Inc., 15,620 Technology Drive, Northville, MI 48168, USA.
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Al-Assadi, S. (2023). Simulation Optimum Performance All-Wheels Plug-In Hybrid Electric Vehicle. In: Manshahia, M.S., Kharchenko, V., Weber, GW., Vasant, P. (eds) Advances in Artificial Intelligence for Renewable Energy Systems and Energy Autonomy. EAI/Springer Innovations in Communication and Computing. Springer, Cham. https://doi.org/10.1007/978-3-031-26496-2_3
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DOI: https://doi.org/10.1007/978-3-031-26496-2_3
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