Finding the ideal automotive battery concept A model-based approach on cell selection, modularization and thermal management
There are many degrees of freedom in the design of a battery concept for electric vehicles. A suitable lithium-ion battery (LIB) must be selected from different cell chemistries, types and sizes. During operation, the LIBs must always be kept in the optimum temperature range, thus a suitable battery...
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Published in | Forschung im Ingenieurwesen Vol. 83; no. 4; pp. 817 - 830 |
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Main Authors | , , , |
Format | Journal Article |
Language | English |
Published |
Berlin/Heidelberg
Springer Berlin Heidelberg
01.12.2019
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Subjects | |
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Abstract | There are many degrees of freedom in the design of a battery concept for electric vehicles. A suitable lithium-ion battery (LIB) must be selected from different cell chemistries, types and sizes. During operation, the LIBs must always be kept in the optimum temperature range, thus a suitable battery thermal management system (BTMS) architecture must be developed. All these decisions have a direct impact on the later characteristics of the battery system and are subject to complex interactions. Therefore, the question arises of an automated method that supports the user in finding the ideal overall battery concept for a given vehicle concept. This paper introduces and discusses such a process. After an analysis of all relevant electrical and thermal influences and previous work on this topic, an approach is derived that allows automatic cell selection, modularization and BTMS development considering all relevant influences up to the vehicle level. The approach considers the electrical and thermal behavior on both the cell and the system level. Furthermore, the BTMS is simulated using a novel approach allowing the configuration of air and liquid cooling with any desired configuration. The complete simulation framework is made available under an open-source license. |
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AbstractList | There are many degrees of freedom in the design of a battery concept for electric vehicles. A suitable lithium-ion battery (LIB) must be selected from different cell chemistries, types and sizes. During operation, the LIBs must always be kept in the optimum temperature range, thus a suitable battery thermal management system (BTMS) architecture must be developed. All these decisions have a direct impact on the later characteristics of the battery system and are subject to complex interactions. Therefore, the question arises of an automated method that supports the user in finding the ideal overall battery concept for a given vehicle concept. This paper introduces and discusses such a process. After an analysis of all relevant electrical and thermal influences and previous work on this topic, an approach is derived that allows automatic cell selection, modularization and BTMS development considering all relevant influences up to the vehicle level. The approach considers the electrical and thermal behavior on both the cell and the system level. Furthermore, the BTMS is simulated using a novel approach allowing the configuration of air and liquid cooling with any desired configuration. The complete simulation framework is made available under an open-source license. |
Author | Lin, Xue Reiter, Christoph Lienkamp, Markus Schlereth, Lars-Eric |
Author_xml | – sequence: 1 givenname: Christoph orcidid: 0000-0002-1917-345X surname: Reiter fullname: Reiter, Christoph email: reiter@ftm.mw.tum.de organization: Institute of Automotive Technology, Department of Mechanical Engineering, Technical University of Munich – sequence: 2 givenname: Xue surname: Lin fullname: Lin, Xue organization: Institute of Automotive Technology, Department of Mechanical Engineering, Technical University of Munich – sequence: 3 givenname: Lars-Eric surname: Schlereth fullname: Schlereth, Lars-Eric organization: Institute of Automotive Technology, Department of Mechanical Engineering, Technical University of Munich – sequence: 4 givenname: Markus surname: Lienkamp fullname: Lienkamp, Markus organization: Institute of Automotive Technology, Department of Mechanical Engineering, Technical University of Munich |
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CitedBy_id | crossref_primary_10_1016_j_egyr_2024_03_053 crossref_primary_10_1002_ente_202100874 crossref_primary_10_3390_batteries10070228 crossref_primary_10_1016_j_est_2022_104998 crossref_primary_10_1016_j_est_2022_104854 |
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Subtitle | A model-based approach on cell selection, modularization and thermal management |
Title | Finding the ideal automotive battery concept |
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