综合混合动力发动机循环设计与动力管理优化

Raj Ghelani, I. Roumeliotis, C. Saias, C. Mourouzidis, V. Pachidis, Justin Norman, Marko Bacic
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摘要

本文介绍了并联混合动力架构的集成燃气轮机循环设计和动力管理优化方法。燃气涡轮循环设计方法扩展到涡轮螺旋桨和涡轮风扇架构,最初在循环层面进行贸易研究。结果表明,电气化程度受到涡扇配置的助推器浪涌余量水平的限制。然后,使用综合方法对 A320 Neo 型飞机进行了飞行任务级评估。结果表明,最佳循环重新设计的混合电力推进系统(HEPS)有利于起飞和爬升功率的吸收,而最佳改造的混合电力推进系统有利于巡航功率的吸收。结果表明,就目前的电池能量密度(250 Wh/Kg)而言,没有燃料消耗方面的优势。此外,即使是乐观值(750 Wh/kg),重新设计的 HEPS 和改造后的 HEPS 在 500 nm 飞行任务中的最大燃料燃烧效益也分别为 5.5% 和 4%。HEPS 配置的电源管理策略也因燃气轮机技术而异,燃气轮机技术的改进为电气化提供了更大的空间。然后将该方法扩展到 ATR 72 型飞机的案例中,结果表明在整个飞行任务包络线内,燃料消耗效益更大。动力管理策略也会根据目标函数的不同而改变,并报告了直接运营成本或燃料消耗的最佳策略。最后,展示了一种新颖的多任务方法,以突出整个任务集群的总体燃油消耗和直接运营成本效益。
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Integrated Hybrid Engine Cycle Design and Power Management Optimization
An integrated gas turbine cycle design and power management optimization methodology for parallel hybrid electric architectures is shown in this article. The gas turbine cycle design method is extended to both turboprop and turbofan architectures with trade studies performed initially at cycle level. It is shown that the degree of electrification is limited by the surge margin levels of booster for turbofan configuration. An aircraft mission level assessment is then performed using the integrated method initially for an A320 Neo style aircraft case. The results indicate that optimal cycle redesigned hybrid electric propulsion system (HEPS) favor take-off and climb power on-takes while optimal retrofit HEPS favor cruise power on-takes. It is shown that for current battery energy density (250 Wh/Kg), there is no fuel burn benefit. Furthermore, even for optimistic values (750 Wh/kg), the maximum fuel burn benefit for 500 nm mission is 5.5% and 4% for redesigned and retrofit HEPS, respectively. The power management strategies for HEPS configurations also differ based on gas turbine technology with improvement in gas turbine technology showing greater scope for electrification. The method is then extended to ATR 72 style aircraft case, showing greater fuel burn benefits across the flight mission envelope. The power management strategies also change depending on the objective function, and optimum strategies are reported for direct operating cost or fuel burn. Finally, a novel multi-mission approach is shown to highlight the overall fuel burn and direct operating cost benefit across the mission cluster.
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