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Digital
Library of the European Council for Modelling and Simulation |
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Title: |
Retrofit Optimization Of
Battery Air Cooling By CFD And Machine Learning |
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Authors: |
Eero Immonen,
Janne Sovela, Samuli Ranta, Kirill Murashko, Paula Immonen |
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Published in:
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2020). ECMS 2020 Proceedings
Edited by: Mike Steglich, Christian Muller, Gaby
Neumann, Mathias Walther, European Council for Modeling and Simulation. DOI: http://doi.org/10.7148/2020 ISSN:
2522-2422 (ONLINE) ISSN:
2522-2414 (PRINT) ISSN:
2522-2430 (CD-ROM) ISBN: 978-3-937436-68-5 Communications of the ECMS , Volume 34, Issue 1, June 2020, United Kingdom |
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Citation
format: |
Eero Immonen, Janne
Sovela, Samuli Ranta, Kirill Murashko, Paula Immonen (2020).
Retrofit Optimization Of Battery Air Cooling By CFD And Machine Learning, ECMS 2020 Proceedings Edited By: Mike Steglich, Christian Mueller, Gaby Neumann, Mathias
Walther European Council for Modeling and Simulation. doi: 10.7148/2020-0139 |
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DOI: |
https://doi.org/10.7148/2020-0139 |
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Abstract: |
We investigate
a simulation methodology for sys-tematically
optimizing air cooling in an existing battery system
by placement of passive components. The goal in such retrofit optimization is
to achive design improvement by making as few and
cheap changes in the original sys-tem as possible. Our methodology utilizes
CFD for fluid flow and heat transfer modeling and machine learning for
cause-effect assessment across binary design variables, such as wall
placement for passive flow control. As an application, we consider
computational optimization of air cooling in a
scaled-down electric bus charging station battery system. |
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