Reliability-Based Robust Design Optimization of Lithium-Ion Battery Cells for Maximizing the Energy Density by Increasing Reliability and Robustness

Jinhwan Park, Donghyeon Yoo, Jaemin Moon, Janghyeok Yoon, Jungtae Park, Seungae Lee, Doohee Lee and Changwan Kim
Additional contact information
Jinhwan Park: Graduate School of Mechanical Design & Production Engineering, Konkuk University, 120, Neung dong-ro, Gwangjin-gu, Seoul 05029, Korea
Donghyeon Yoo: Graduate School of Mechanical Design & Production Engineering, Konkuk University, 120, Neung dong-ro, Gwangjin-gu, Seoul 05029, Korea
Jaemin Moon: Graduate School of Mechanical Design & Production Engineering, Konkuk University, 120, Neung dong-ro, Gwangjin-gu, Seoul 05029, Korea
Janghyeok Yoon: Department of Industrial Engineering, Konkuk University, 120, Neung dong-ro, Gwangjin-gu, Seoul 05029, Korea
Jungtae Park: Department of Chemical Engineering, Konkuk University, 120, Neung dong-ro, Gwangjin-gu, Seoul 05029, Korea
Seungae Lee: Department of Chemical Engineering, Konkuk University, 120, Neung dong-ro, Gwangjin-gu, Seoul 05029, Korea
Doohee Lee: Department of Electrical and Electronics Engineering, Konkuk University, 120, Neung dong-ro, Gwangjin-gu, Seoul 05029, Korea
Changwan Kim: School of Mechanical Engineering, Konkuk University, 120, Neung dong-ro, Gwangjin-gu, Seoul 05029, Korea

Energies, 2021, vol. 14, issue 19, 1-13

Abstract: Lithium-ion batteries (LIBs) are increasingly employed in electric vehicles (EVs) owing to their advantages, such as low weight, and high energy and power densities. However, the uncertainty encountered in the manufacturing of LIB cells increases the failure rate and causes cell-to-cell variations, thereby degrading the battery capacity and lifetime. In this study, the reliability and robustness of LIB cells were improved using the design of experiments (DOE), and the reliability-based robust design optimization (RBRDO) approaches. First, design factors sensitive to the energy density and power density were selected as design variables through sensitivity analysis using the DOE. RBRDO was performed to maximize the energy density while reducing the failure rate and cell-to-cell variations. To verify the superiority of the reliability and robustness offered by RBRDO, the obtained results were compared with those from conventional deterministic design optimization (DDO), and reliability-based design optimization (RBDO). RBRDO increased the mean of the energy density by 33.5% compared to the initial value and reduced the failure rate by 98.9%, due to improved reliability, compared to DDO. Moreover, RBRDO reduced the standard deviation in the energy density (i.e., cell-to-cell variations) by 30.0% due to the improved robustness compared to RBDO.

Keywords: lithium-ion battery (LIB) cells; reliability-based robust design optimization (RBRDO); energy density; manufacturing uncertainty; failure rate; cell-to-cell variation (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
References: View references in EconPapers View complete reference list from CitEc
Citations: View citations in EconPapers (3)

Downloads: (external link)
https://www.mdpi.com/1996-1073/14/19/6236/pdf (application/pdf)
https://www.mdpi.com/1996-1073/14/19/6236/ (text/html)

Related works:
This item may be available elsewhere in EconPapers: Search for items with the same title.

Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text

Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:19:p:6236-:d:647503

Access Statistics for this article

Energies is currently edited by Ms. Agatha Cao

More articles in Energies from MDPI
Bibliographic data for series maintained by MDPI Indexing Manager ().