He Jinlong, Zhang Lin, Liu Ling
Department of Mechanical and Aerospace Engineering, Utah State University, Logan, Utah 84322, USA.
Department of Mechanical Engineering and Materials Science, University of Pittsburgh, Pittsburgh, PA 15261, USA.
Phys Chem Chem Phys. 2019 Jun 21;21(23):12192-12200. doi: 10.1039/c9cp01585j. Epub 2019 May 31.
Efficient heat dissipation in batteries is important for thermal management against thermal runaway and chemical instability at elevated temperatures. Nevertheless, thermal transport processes in battery materials have not been well understood especially considering their complicated microstructures. In this study, lattice thermal transport in lithium cobalt oxide (LiCoO), a popular cathode material for lithium ion batteries, is investigated via molecular dynamics-based approaches and thermal resistance models. A LiCoO single-crystal is shown to have thermal conductivities in the order of 100 W m K with strong anisotropy, temperature dependence, and size effects. By comparison, polycrystalline LiCoO is more isotropic with much lower thermal conductivities. This difference is caused by random grain orientations, the thermal resistance of grain boundaries, and size-dependent intra-grain thermal conductivities that are unique to polycrystals. The grain boundary thermal conductance is calculated to be in the range of 7.16-25.21 GW m K. The size effects of the intra-grain thermal conductivities are described by two empirical equations. Considering all of these effects, two thermal resistance models are developed to predict the thermal conductivity of polycrystalline LiCoO. The two models predict a consistent thermal conductivity-grain size relationship that agrees well with molecular dynamics simulation results. The insights revealed by this study may facilitate future efforts on battery materials design for improved thermal management.
电池中的高效散热对于热管理以防止热失控和高温下的化学不稳定性至关重要。然而,电池材料中的热传输过程尚未得到很好的理解,尤其是考虑到它们复杂的微观结构。在本研究中,通过基于分子动力学的方法和热阻模型研究了锂离子电池常用正极材料钴酸锂(LiCoO₂)中的晶格热传输。结果表明,LiCoO₂单晶具有约100 W m⁻¹ K⁻¹量级的热导率,具有很强的各向异性、温度依赖性和尺寸效应。相比之下,多晶LiCoO₂更具各向同性,热导率要低得多。这种差异是由随机的晶粒取向、晶界的热阻以及多晶特有的与尺寸相关的晶粒内热导率引起的。计算得出晶界热导率在7.16 - 25.21 GW m⁻² K⁻¹范围内。晶粒内热导率的尺寸效应由两个经验方程描述。考虑到所有这些效应,开发了两个热阻模型来预测多晶LiCoO₂的热导率。这两个模型预测的热导率 - 晶粒尺寸关系一致,与分子动力学模拟结果吻合良好。本研究揭示的见解可能有助于未来在电池材料设计方面为改进热管理所做的努力。