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Numerical simulation of porous networks in relation to battery electrodes and separators

机译:与电池电极和隔板有关的多孔网络的数值模拟

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Numerical simulation is used to explore the influence of particle shape and overall porosity on the liquid phase conductivity, σ_(eff), inside porous networks, such as electrodes or separators used for lithium-ion batteries. Such battery components are often modelled by a power law, σ_(eff) = ε~α σ_0, which relates electrolyte bulk conductivity σ_0 and void volume fraction ε via a Bruggeman exponent α. Frequently, a value of 1.5 is assumed for α. In this work, theoretical and experimental evidence is presented to show that a Bruggeman exponent of 1.5 is often not valid for real electrodes or separator materials. It is found that only idealized morphologies, based on spherical or slightly prolate (i.e. rod-type) ellipsoids, are expected to give rise to a Bruggeman law with an exponent of about 1.3. Porous networks based on other particle morphologies such as oblate (i.e. disk-type) ellipsoids or lamellar or flaky materials increase the tortuous path for ionic conductivity and result either in a significant increase of the exponent α, or in a complete deviation from the power law. These models imply that spherical or slightly prolate ellipsoidal particles should be preferred for batteries where high-rate performance is required and that future separators could be designed with higher ionic conductivity.
机译:数值模拟用于探索颗粒形状和整体孔隙率对多孔网络(例如用于锂离子电池的电极或隔板)内部液相电导率σ_(eff)的影响。此类电池组件通常通过幂定律σ_(eff)=ε〜ασ_0建模,该幂定律通过Bruggeman指数α将电解质的体积电导率σ_0和空隙体积分数ε相关联。通常,假定α值为1.5。在这项工作中,提供了理论和实验证据,表明1.5的Bruggeman指数通常不适用于真实的电极或隔板材料。已经发现,只有基于球形或略长的椭圆形(即杆状)椭球的理想形态才能产生指数约为1.3的布鲁格曼定律。基于其他粒子形态的多孔网络,例如扁圆(即盘形)椭球体或层状或片状材料,会增加离子电导率的曲折路径,并导致指数α显着增加或完全偏离幂律。这些模型暗示对于需要高倍率性能的电池,应优先选用球形或略呈长圆形的椭圆形颗粒,并且未来的隔板可以设计成具有更高的离子电导率。

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