Electro-thermal modeling of high-performance lithium-ion energy storage systems including reversible entropy heat

Stefan Skoog
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引用次数: 12

Abstract

Two of the major heat sources in a high-performance automotive lithium-ion battery cell are parameterized in this study: Joule heat and entropy heat. Established electrochemical models are investigated and experiments are designed to acquire the relevant parameters such as open circuit voltage, entropy coefficient and internal impedance from ohmic losses and mass transport. It is shown that the irreversible joule heat and the reversible entropy heat has a similar magnitude at many operating points for the device tested. The strong influence of irreversible entropy heat has the potential to absorb all the joule heat in currents up to 135 A (C-rate of 13.5) charging and 66 A (6.6 C) discharge in a power optimized automotive lithiumion cell. It is also shown that, by including the entropy heat in a simple thermal model, the temperature error can be reduced down to 28 % and 44 % for under charging and discharging with high currents, respectively.
包括可逆熵热在内的高性能锂离子储能系统的电热建模
本研究对高性能汽车锂离子电池的两个主要热源进行了参数化:焦耳热和熵热。对已建立的电化学模型进行了研究,并设计了实验,从欧姆损失和质量输运中获得了开路电压、熵系数和内阻抗等相关参数。结果表明,在被测器件的许多工作点上,不可逆焦耳热和可逆熵热具有相似的量级。在功率优化的汽车锂电池中,不可逆熵热的强大影响有可能吸收135 A (C-倍率13.5)充电电流和66 A (6.6 C)放电电流下的所有焦耳热量。结果表明,在简单的热模型中加入熵热,可以将低充放电和大电流放电的温度误差分别降低到28%和44%。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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