A microcrack propagation-based life prediction model for lithium-ion batteries with Ni-rich cathode materials

Sun Ho Park, Hyobin Lee, Joonam Park, Youngjoon Roh, Seoungwoo Byun, Jaejin Lim, Seungwon Jung, Nayeon Kim, Kang Taek Lee, Yong Min Lee

Research output: Contribution to journalArticlepeer-review

9 Scopus citations

Abstract

The formation and growth of solid electrolyte interphase (SEI) on the anode are key parameters governing battery life prediction models of lithium-ion batteries (LiBs). However, as conventional battery life prediction models do not reflect other degradation parameters such as crack formation and propagation in Ni-rich cathode materials, their accuracy is greatly reduced as the nickel content increases in layered oxide cathode materials. Herein, we propose an advanced prediction model that includes both crack propagation and SEI growth. The reliability of this microcrack propagation-based life prediction model is verified using experimental data of over 50 commercial 18650 LiB cells, which are tested under depths of discharge and current rates, from 500 to 5000 cycles. The proposed model predicts capacity retention values with less than 5 % error, even in practical operations of energy storage systems and electric vehicles, providing a standard solution for predicting the cycle life of LiBs with Ni-rich cathode materials.

Original languageEnglish
Article number106420
JournalJournal of Energy Storage
Volume58
DOIs
StatePublished - Feb 2023
Externally publishedYes

Funding

This research was supported by the Basic Research Laboratory ( NRF-2020R1A4A4079810 ) and the Future Materials Discovery Program ( NRF-2020M3D1A1110527 ) through National Research Foundation of Korea (NRF) grant funded by Ministry of Science and ICT. We are also very grateful for the support from the DGIST Supercomputing and Bigdata Center.

Keywords

  • Life prediction model
  • Lithium-ion battery
  • Microcrack propagation
  • Ni-rich cathode material
  • Normalized perimeter change

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