A thermal design and experimental investigation for the fast charging process of a lithium-ion battery module with liquid cooling

Siqi Chen, Nengsheng Bao, Xiongbin Peng*, Akhil Garg, Zhanglin Chen

*Corresponding author for this work

Research output: Contribution to journalArticlepeer-review

22 Citations (Scopus)

Abstract

The appropriate temperature distribution is indispensable to lithium-ion battery module, especially during the fast charging of the sudden braking process. Thermal properties of each battery cell are obtained from numerical heat generation model and experimental data, and the deviation of thermophysical performance is analyzed by K-means clustering and hierarchical clustering to select battery cells with similar performance. Thermal performance of lithium-ion cells under different charging rates is investigated in experiments and the effects of different mini-channel designs discussed using numerical simulation, maximum temperature, maximum pressure, and temperature standard deviation are compared by both numerical calculation and experimental validation. Two kinds of cooling plates are selected, considering the uniformity of temperature distribution and energy consumption, respectively. All of these cooling plate designs have the ability to constrain the maximum temperature and temperature standard deviation within 306 K and 1.2 K, respectively. Additionally, this thermal management system does not need too much energy consumption. In experimental validation, deviation of maximum temperature is measured to be within 2.2 K and difference of temperature standard deviation is also within tolerance.

Original languageEnglish
Article number021109
JournalNutrition Today
Volume17
Issue number2
DOIs
Publication statusPublished - May 2020
Externally publishedYes

Keywords

  • Battery thermal management
  • Heat dissipation
  • Hierarchical clustering
  • K-means clustering
  • Lithium-ion battery

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