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

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 str...

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Published inJournal of power sources Vol. 326; pp. 242 - 251
Main Authors Mitchell, Sarah L., Ortiz, Michael
Format Journal Article
LanguageEnglish
Published Elsevier B.V 15.09.2016
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Online AccessGet full text
ISSN0378-7753
1873-2755
1873-2755
DOI10.1016/j.jpowsour.2016.06.136

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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. •Optimal silicon anode structures are designed using topology optimization methods.•A multiobjective formulation considers compliance and electric conduction criteria.•The trade-off between design objectives is explored using Pareto optimality.
AbstractList 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. •Optimal silicon anode structures are designed using topology optimization methods.•A multiobjective formulation considers compliance and electric conduction criteria.•The trade-off between design objectives is explored using Pareto optimality.
Author Mitchell, Sarah L.
Ortiz, Michael
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Keywords Multiobjective
Topology optimization
Conduction
Compliance
Design dependent loads
Language English
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Snippet This study utilizes computational topology optimization methods for the systematic design of optimal multifunctional silicon anode structures for lithium-ion...
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SubjectTerms Compliance
Conduction
Design dependent loads
Multiobjective
Topology optimization
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Title Computational multiobjective topology optimization of silicon anode structures for lithium-ion batteries
URI https://dx.doi.org/10.1016/j.jpowsour.2016.06.136
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