TY - GEN
T1 - Underhood Spatial Packing and Routing of an Automotive Fuel Cell System (AFCS) Using 2D Geometric Projection
AU - Bello, Waheed B.
AU - Peddada, Satya R.T.
AU - Bhattacharyya, Anurag
AU - Jennings, Mark
AU - Katragadda, Sunil
AU - James, Kai
AU - Allison, James T.
N1 - Funding Information:
This work was supported by the National Science Foundation Engineering Research Center for Power Optimization of Electro-Thermal Systems (POETS) with cooperative agreement EEC-1449548. The authors also sincerely thank Ford Motor Company for collaborating on this work and providing the relevant automotive application data for performing the design optimization studies.
Publisher Copyright:
© 2022, American Institute of Aeronautics and Astronautics Inc.. All rights reserved.
PY - 2022
Y1 - 2022
N2 - Fuel Cell Electric Vehicles (FCEVs) are emerging as capable mobile transportation systems for various heavy duty and high-energy applications such as cars and trucks. FCEVs are needed in the future to slow down climate change and reduce the demand for fossil fuel reserves. Significant adoption of this alternative technology requires denser spatial packaging and efficient thermal management of fuel cells within the automotive system. This paper presents an implementation of a novel 2D physics-based optimal packing and routing (PR) method applied to an industry-relevant application: underhood spatial packaging of an automotive fuel cell system (AFCS) for efficient thermal management. The fuel cell system and related thermal management components present a complex challenge for minimizing package volume while delivering the required vehicle capability and performance. Of particular interest in this work is optimal packing and routing (PR) for thermal management with the goals of minimizing the interconnect hose lengths, the underhood bounding box area, and the number of connections. Several case studies have been demonstrated to minimize the vehicle underhood area occupied by the fuel cell system subject to geometric (component orientation) and physics-based constraints (device temperature, hydraulic pressure loss, etc.). The results show significant improvement in spatial packaging density of the 2D AFCS. Improvements in AFCS spatial packaging density will enable faster and greater adoption of this technology into mobile transportation systems.
AB - Fuel Cell Electric Vehicles (FCEVs) are emerging as capable mobile transportation systems for various heavy duty and high-energy applications such as cars and trucks. FCEVs are needed in the future to slow down climate change and reduce the demand for fossil fuel reserves. Significant adoption of this alternative technology requires denser spatial packaging and efficient thermal management of fuel cells within the automotive system. This paper presents an implementation of a novel 2D physics-based optimal packing and routing (PR) method applied to an industry-relevant application: underhood spatial packaging of an automotive fuel cell system (AFCS) for efficient thermal management. The fuel cell system and related thermal management components present a complex challenge for minimizing package volume while delivering the required vehicle capability and performance. Of particular interest in this work is optimal packing and routing (PR) for thermal management with the goals of minimizing the interconnect hose lengths, the underhood bounding box area, and the number of connections. Several case studies have been demonstrated to minimize the vehicle underhood area occupied by the fuel cell system subject to geometric (component orientation) and physics-based constraints (device temperature, hydraulic pressure loss, etc.). The results show significant improvement in spatial packaging density of the 2D AFCS. Improvements in AFCS spatial packaging density will enable faster and greater adoption of this technology into mobile transportation systems.
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U2 - 10.2514/6.2022-0804
DO - 10.2514/6.2022-0804
M3 - Conference contribution
AN - SCOPUS:85123362525
SN - 9781624106316
T3 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
BT - AIAA SciTech Forum 2022
PB - American Institute of Aeronautics and Astronautics Inc, AIAA
T2 - AIAA Science and Technology Forum and Exposition, AIAA SciTech Forum 2022
Y2 - 3 January 2022 through 7 January 2022
ER -