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An improved lithium-ion battery model with temperature prediction considering entropy

机译:考虑熵的温度预测的改进锂离子电池模型

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This paper presents a system-level simulation model of a commercially available lithium-ion battery considering temperature prediction. For the 18650 battery modeling, four equations are derived based on a typical battery equivalent circuit to characterize the discharge behaviors. Current- and temperature- dependencies, as well as the internal resistance variations are taken into account to improve the model accuracy. In our extensive simulations, the calculated battery terminal voltage as a function of the state of discharge matches well with the manufacturer's data for the 18650 battery. The original model for 18650 is properly modified to characterize the Ultralife UBBL 10 battery package assembled by cylindrical 18650 batteries. The model uses a simplified equivalent circuit and modified correction factors to improve the precision. Compared with our measurement data on UBBL 10, the simulated results using our proposed model shows small deviations in both charging and discharging characteristics. Moreover, due to the considerations of the internal resistance changes and entropic heat in the thermal dynamic description, the model is able to predict the battery temperature to circumvent the safety concerns on undesirable temperature rise.
机译:本文介绍了考虑温度预测的商用锂离子电池的系统级仿真模型。对于18650电池建模,基于典型的电池等效电路导出了四个方程式,以表征放电行为。考虑电流和温度相关性以及内部电阻变化,以提高模型精度。在我们广泛的仿真中,根据放电状态计算得出的电池端子电压与18650电池的制造商数据非常匹配。 18650的原始型号经过适当修改,以表征由圆柱形18650电池组装的Ultralife UBBL 10电池组件。该模型使用简化的等效电路和修改的校正因子来提高精度。与我们在UBBL 10上的测量数据相比,使用我们提出的模型进行的仿真结果显示,充电和放电特性均存在较小的偏差。此外,由于在热动力学描述中考虑了内部电阻变化和熵热,因此该模型能够预测电池温度,从而避免因不希望的温度升高而引起的安全隐患。

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