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Thermal performance analysis and multi-objective optimization of lithium-ion batteries with biomimetic turtle shell liquid cooling plates: a numerical investigation

  • Yiyao Chu
  • , Shian Li*
  • , Martin Andersson
  • , Qiuwan Shen*
  • *Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

Abstract

In this study, transient numerical simulations are carried out to evaluate and compare the thermal management performance between the biomimetic turtle shell and conventional parallel-channel liquid cooling plates. Surrogate models are constructed using response surface methodology (RSM) and then the non-dominated sorting genetic algorithm II (NSGA-II) is adopted to perform multi-objective optimization of the biomimetic turtle shell liquid cooling plate. Compared with the conventional parallel-channel structure, the biomimetic turtle shell design reduces battery maximum temperature by 0.94 K, temperature difference by 0.76 K, and pressure drop by 67.66 Pa. Meanwhile, the optimal structural parameters are also determined. The proposed design offers a feasible solution for high-performance liquid cooling plates, improving thermal safety and stability of lithium-ion battery systems.

Original languageEnglish
Article number180394
JournalThermochimica Acta
Volume762
DOIs
StatePublished - Aug 2026
Externally publishedYes

Bibliographical note

Publisher Copyright:
© 2026 Elsevier B.V. All rights are reserved, including those for text and data mining, AI training, and similar technologies.

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 7 - Affordable and Clean Energy
    SDG 7 Affordable and Clean Energy

Keywords

  • Battery thermal management
  • Biomimetic turtle shell structure
  • Liquid cooling
  • Multi-objective optimization

ASJC Scopus subject areas

  • Instrumentation
  • Condensed Matter Physics
  • Physical and Theoretical Chemistry

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