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Military Hybrid Vehicle Optimization and Control.

机译:军用混合动力汽车优化与控制。

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Hybrid vehicles are increasingly common in the passenger car marketplace and in commercial applications such as delivery trucks and transit busses. These hybrids are justifiable due to their increased fuel efficiency and the associated cost benefit. It is remarkable, then, that there are no deployed military hybrid vehicles, when fuel costs as high as $100 per liter are common in the battlefield. An absence of military hybrid vehicles is not due to a lack of investment in research and development, but rather because applying hybrid vehicle architectures in a classical sense to a military application has challenges that make fielding such a vehicle prohibitive. These challenges include inconsistent duty cycles, unique vehicle requirements and the absence of holistic view of energy. The proposed research addresses these challenges while illuminating the comprehensive benefits of military hybrid vehicles with respect to operational energy, which includes propulsion power, electric power for government furnished equipment (GFE), silent watch capability, and vehicle-to-grid (V2G) mobile energy exchange and storage. By treating a military vehicle as a microgrid, a methodology for developing optimal battery state of charge (SOC) profiles for military duty cycles will be developed. A proof of concept will be presented along with the detailed steps necessary to extend this work into a military environment, including reduced order optimization and sensitivity analysis. Finally, the impact and timeline of this doctoral research project will be explained.

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