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首页> 外文期刊>Energy Conversion & Management >Developing heat source term including heat generation at rest condition for Lithium-ion battery pack by up scaling information from cell scale
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Developing heat source term including heat generation at rest condition for Lithium-ion battery pack by up scaling information from cell scale

机译：通过扩大电池规模的信息来开发热源项，包括锂离子电池组在静止状态下的发热

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摘要

Heat generation during cycling of Lithium-ion batteries may have negative effects on the efficiency, safety, performance and lifetime of battery cell due to overheating. Therefore, temperature distribution should be controlled by the battery thermal management techniques. To improve accuracy of temperature control methods, the value of heat generation should precisely be calculated. However, detail modeling of phenomena, inside all cells of a battery pack, is a time consuming process, impracticable for control purposes. The prime objective of this paper is to propose a developed analysis viewpoint of heat generation phenomenon at pack scale by presenting a relation derived from the cell scale analysis without missing the accuracy along with vanishing computational cost. In order to increase the accuracy, firstly, the thermal modeling part at cell scale is improved to consider the heat of mixing and enthalpy heating terms as significant heat sources continue to be generated after cutoff current. Then, based on output data of the corrected code, a relation for heat generation source term is estimated by neural network method. Finally, this relation is used as a source term in pack scale equations. The results demonstrated the importance of considering heat of mixing and enthalpy heating in the pack scale modeling in a wide range of cooling air flow rates. This method is generic and vanishes the computational cost of transferring information from cell scale to the pack one. (C) 2017 Elsevier Ltd.
机译：锂离子电池循环期间产生的热量可能因过热而对电池单元的效率，安全性，性能和寿命产生负面影响。因此，温度分布应通过电池热管理技术来控制。为了提高温度控制方法的准确性，应精确计算热量的产生值。但是，对电池组所有电池内部的现象进行详细建模是一个耗时的过程，对于控制目的而言是不可行的。本文的主要目的是通过提出一种从单元规模分析中得出的关系而不会丢失准确性以及计算成本消失的观点，提出一种在电池组规模上产生热现象的分析观点。为了提高精度，首先，改进了单元规模的热建模部分，以考虑混合热和焓热项，因为在切断电流后继续继续产生大量的热源。然后，基于校正后的代码的输出数据，通过神经网络方法估计发热源项的关系。最后，该关系在包装比例方程中用作源项。结果表明，在大范围的冷却空气流量中，在包装规模模型中考虑混合热和焓热的重要性。这种方法是通用的，并且消除了将信息从像元规模转移到第一个包装的计算成本。 （C）2017爱思唯尔有限公司

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