Surrogate Model Assisted Design of Silicon Anode Considering Lithiation Induced Stresses

Zhuoyuan Zheng, Bo Chen, Yashraj Gurumukhi, John Cook, Mehmet N. Ates, Nenad Miljkovic, Paul V Braun, Pingfeng Wang

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Abstract

Silicon-based lithium ion battery anodes are attracting considerable attention due to their high theoretical capacity. However, the significant volume change of silicon during lithiation/de-lithiation cycles restricts its application. A novel bi-continuous Si anode, designed to mitigate the effect of cycling-induced volume changes, is investigated in this study. The effects of the design parameters and the operating conditions of the anode are explored via multi-physics simulation model. It is found that, with the novel anode structure, battery charging C rate has little impact on the mechanical properties. However, the anode structural design parameters would largely influence the stress distribution on the anode. Thus, a Gaussian Processes (GP) based surrogate model is developed to assist the design optimization of the Si anode, while using the simulated results from a multiphysics simulation model as training data. An optimized Si anode design can then be extracted efficiently based upon the developed surrogate model.

Original languageEnglish (US)
Title of host publication2019 IEEE International Reliability Physics Symposium, IRPS 2019
PublisherInstitute of Electrical and Electronics Engineers Inc.
ISBN (Electronic)9781538695043
DOIs
StatePublished - May 22 2019
Event2019 IEEE International Reliability Physics Symposium, IRPS 2019 - Monterey, United States
Duration: Mar 31 2019Apr 4 2019

Publication series

NameIEEE International Reliability Physics Symposium Proceedings
Volume2019-March
ISSN (Print)1541-7026

Conference

Conference2019 IEEE International Reliability Physics Symposium, IRPS 2019
CountryUnited States
CityMonterey
Period3/31/194/4/19

Fingerprint

Anodes
Silicon
Charging (batteries)
Structural design
Stress concentration
Physics
Mechanical properties

Keywords

  • GP based surrogate model
  • Lithiation induced stress
  • Multiphysics modeling
  • Silicon anode

ASJC Scopus subject areas

  • Engineering(all)

Cite this

Zheng, Z., Chen, B., Gurumukhi, Y., Cook, J., Ates, M. N., Miljkovic, N., ... Wang, P. (2019). Surrogate Model Assisted Design of Silicon Anode Considering Lithiation Induced Stresses. In 2019 IEEE International Reliability Physics Symposium, IRPS 2019 [8720601] (IEEE International Reliability Physics Symposium Proceedings; Vol. 2019-March). Institute of Electrical and Electronics Engineers Inc.. https://doi.org/10.1109/IRPS.2019.8720601

Surrogate Model Assisted Design of Silicon Anode Considering Lithiation Induced Stresses. / Zheng, Zhuoyuan; Chen, Bo; Gurumukhi, Yashraj; Cook, John; Ates, Mehmet N.; Miljkovic, Nenad; Braun, Paul V; Wang, Pingfeng.

2019 IEEE International Reliability Physics Symposium, IRPS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. 8720601 (IEEE International Reliability Physics Symposium Proceedings; Vol. 2019-March).

Research output: Chapter in Book/Report/Conference proceedingConference contribution

Zheng, Z, Chen, B, Gurumukhi, Y, Cook, J, Ates, MN, Miljkovic, N, Braun, PV & Wang, P 2019, Surrogate Model Assisted Design of Silicon Anode Considering Lithiation Induced Stresses. in 2019 IEEE International Reliability Physics Symposium, IRPS 2019., 8720601, IEEE International Reliability Physics Symposium Proceedings, vol. 2019-March, Institute of Electrical and Electronics Engineers Inc., 2019 IEEE International Reliability Physics Symposium, IRPS 2019, Monterey, United States, 3/31/19. https://doi.org/10.1109/IRPS.2019.8720601
Zheng Z, Chen B, Gurumukhi Y, Cook J, Ates MN, Miljkovic N et al. Surrogate Model Assisted Design of Silicon Anode Considering Lithiation Induced Stresses. In 2019 IEEE International Reliability Physics Symposium, IRPS 2019. Institute of Electrical and Electronics Engineers Inc. 2019. 8720601. (IEEE International Reliability Physics Symposium Proceedings). https://doi.org/10.1109/IRPS.2019.8720601
Zheng, Zhuoyuan ; Chen, Bo ; Gurumukhi, Yashraj ; Cook, John ; Ates, Mehmet N. ; Miljkovic, Nenad ; Braun, Paul V ; Wang, Pingfeng. / Surrogate Model Assisted Design of Silicon Anode Considering Lithiation Induced Stresses. 2019 IEEE International Reliability Physics Symposium, IRPS 2019. Institute of Electrical and Electronics Engineers Inc., 2019. (IEEE International Reliability Physics Symposium Proceedings).
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abstract = "Silicon-based lithium ion battery anodes are attracting considerable attention due to their high theoretical capacity. However, the significant volume change of silicon during lithiation/de-lithiation cycles restricts its application. A novel bi-continuous Si anode, designed to mitigate the effect of cycling-induced volume changes, is investigated in this study. The effects of the design parameters and the operating conditions of the anode are explored via multi-physics simulation model. It is found that, with the novel anode structure, battery charging C rate has little impact on the mechanical properties. However, the anode structural design parameters would largely influence the stress distribution on the anode. Thus, a Gaussian Processes (GP) based surrogate model is developed to assist the design optimization of the Si anode, while using the simulated results from a multiphysics simulation model as training data. An optimized Si anode design can then be extracted efficiently based upon the developed surrogate model.",
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