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Computational multiobjective topology optimization of silicon anode structures for lithium-ion batteries

Mitchell, Sarah L. and Ortiz, Michael (2016) Computational multiobjective topology optimization of silicon anode structures for lithium-ion batteries. Journal of Power Sources, 326 . pp. 242-251. ISSN 0378-7753. http://resolver.caltech.edu/CaltechAUTHORS:20160718-102711891

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Abstract

This study utilizes computational topology optimization methods for the systematic design of optimal multifunctional silicon anode structures for lithium-ion batteries. In order to develop next generation high performance lithium-ion batteries, key design challenges relating to the silicon anode structure must be addressed, namely the lithiation-induced mechanical degradation and the low intrinsic electrical conductivity of silicon. As such this work considers two design objectives, the first being minimum compliance under design dependent volume expansion, and the second maximum electrical conduction through the structure, both of which are subject to a constraint on material volume. Density-based topology optimization methods are employed in conjunction with regularization techniques, a continuation scheme, and mathematical programming methods. The objectives are first considered individually, during which the influence of the minimum structural feature size and prescribed volume fraction are investigated. The methodology is subsequently extended to a bi-objective formulation to simultaneously address both the structural and conduction design criteria. The weighted sum method is used to derive the Pareto fronts, which demonstrate a clear trade-off between the competing design objectives. A rigid frame structure was found to be an excellent compromise between the structural and conduction design criteria, providing both the required structural rigidity and direct conduction pathways. The developments and results presented in this work provide a foundation for the informed design and development of silicon anode structures for high performance lithium-ion batteries.


Item Type:Article
Related URLs:
URLURL TypeDescription
http://dx.doi.org/10.1016/j.jpowsour.2016.06.136DOIArticle
http://www.sciencedirect.com/science/article/pii/S0378775316308564PublisherArticle
Additional Information:© 2016 Elsevier B.V. Received 8 March 2016; Received in revised form 27 June 2016; Accepted 30 June 2016. This research was supported by the Caltech Innovation Initiative (CI2), by Robert Bosch GmbH through the Bosch Energy Research Network (BERN) Project No.: 07-15-CS13 and by the U.S. National Science Foundation through the Partnership for International Research and Education (PIRE) on Science at the Triple Point Between Mathematics, Mechanics and Materials Science, Award Number 0967140. We gratefully acknowledge Professor K. Svanberg for providing the GCMMA optimization subroutine.
Group:GALCIT
Funders:
Funding AgencyGrant Number
Caltech Innovation Initiative (CI2)UNSPECIFIED
Bosch Energy Research Network (BERN)07-15-CS13
NSFOISE-0967140
Subject Keywords:Topology optimization; Multiobjective; Conduction; Compliance; Design dependent loads
Record Number:CaltechAUTHORS:20160718-102711891
Persistent URL:http://resolver.caltech.edu/CaltechAUTHORS:20160718-102711891
Official Citation:Sarah L. Mitchell, Michael Ortiz, Computational multiobjective topology optimization of silicon anode structures for lithium-ion batteries, Journal of Power Sources, Volume 326, 15 September 2016, Pages 242-251, ISSN 0378-7753, http://dx.doi.org/10.1016/j.jpowsour.2016.06.136. (http://www.sciencedirect.com/science/article/pii/S0378775316308564)
Usage Policy:No commercial reproduction, distribution, display or performance rights in this work are provided.
ID Code:69091
Collection:CaltechAUTHORS
Deposited By: Tony Diaz
Deposited On:27 Jul 2016 16:28
Last Modified:10 Jul 2017 22:54

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