论文标题
与单个粒子模型的耦合温度分布
Coupling Temperature Distribution with the Single Particle Model
论文作者
论文摘要
DFN（Doyle-Fuller-Newman）模型的准确性和计算昂贵而众所周知。在温度梯度很重要的情况下（例如，快速充电），希望将电池内的温度动力学融入DFN模型中。这导致了更大的计算复杂性。受到Marquis等[1]的工作的启发，我们介绍了基于DFN模型的降低阶模型的推导，该模型的温度在宏观中。还原阶模型的复杂性的特征是局部温度加上一个内部电化学尺寸，电解质动力学由简单的校正项解释。
The DFN (Doyle-Fuller-Newman) model is well know for being accurate and computationally expensive. In situations where temperature gradients are important (eg fast charging) it is desirable to couple the temperature dynamics within a battery into the DFN model. This leads to even greater computational complexity. Inspired by the work of Marquis et al [1] we present the derivation of a reduced-order model based on the DFN model with temperature in the macroscale. The complexity of the reduced-order model is characterised by the local temperature plus one internal electro-chemical dimension and the electrolyte dynamics is accounted for by a simple correction term.
