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Distributed hybrid and electric propulsion systems are one of the most promising technologies to reduce aircraft emissions, resulting in research efforts to investigate new architectures and the design of optimal energy management strategies. This work defines the optimal requirements in terms of battery pack sizing and cell technology for a hybrid-electric regional wing-mounted distributed propulsion aircraft through the application of a design space exploration method. The propulsion system considered in this study is a series-parallel hybrid turboelectric power train with distributed electric fans. A set of six lithium-ion battery cell technologies was identified and experimentally characterized, including both commercially available and prototype cells at different combinations of specific energy and power. A model of the aircraft was developed and used to define the optimal energy management strategy for the hybrid turboelectric propulsion system, which was solved using dynamic programming. The design space exploration was conducted by varying the cell technology and battery storage system size; and the effects on fuel consumption, energy management strategy, and thermal management were compared.
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Cross Layer Design for the Predictive Assessment of Technology-Enabled Architectures
There is great interest in “end-to-end” analysis that captures how innovation at the materials, device, and/or archi-tectural levels will impact figures of merit at the application-level. However, there are numerous combinations of devices and architectures to study, and we must establish systematic ways to accurately explore and cull a vast design space. We aim to capture how innovations at the materials/device-level may ultimately impact figures of merit associated with both existing and emerging technologies that may be employed for either logic and/or memory. We will highlight how collaborations with researchers at these levels of the design hierarchy - as well as efforts to help construct well-calibrated device models - can in-turn support architectural design space explorations that will help to identify the most promising ways to use new technologies to support application-level workloads of interest. For given compute workloads, we can then quantitatively assess the potential benefits of technology-driven architectures to identify the most promising paths forward. Because of the large number of potentially interesting device-architecture combinations, it is of the utmost importance to develop well-calibrated analytical modeling tools to more rapidly assess the potential value of a given (likely heterogeneous) solution. We highlight recent efforts and needs in this space.
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- Award ID(s):
- 2212239
- PAR ID:
- 10448638
- Date Published:
- Journal Name:
- Design Automation and Test in Europe
- Page Range / eLocation ID:
- 1 to 10
- Format(s):
- Medium: X
- Sponsoring Org:
- National Science Foundation
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- Free Publicly Accessible Full Text
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Accepted Manuscript1.0
- Conference Paper:
- https://doi.org/10.23919/DATE56975.2023.10136923
