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Thermal analysis of a 6s4p Lithium-ion battery pack cooled by cold plates based on a multi-domain modeling framework

机译:基于多域建模框架的冷板冷却6S4P锂离子电池组的热分析

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Lithium-ion (Li-ion) batteries are the most promising power source for pure electric vehicles (EVs) and hybrid electric vehicles (HEVs) due to the batteries' high specific energy, low self-discharge rate, low weight, long lifecycle, and no memory effect. The enormous heat generation, however, limits the performance and even causes safety problems. Thermal control of the battery cells remains a challenging issue although much research has been conducted on this topic. In this study, a three-dimensional analysis of Li-ion battery cells and a 6s4p (6 serial and 4 parallel batteries in a stage) battery pack consisting of 24 prismatic batteries was performed using a multi-domain modeling framework. The well-known Newman, Tiedemann, Gu, and Kim (NTGK) model was used for subscale electrochemical modeling and the problem of heat generation due to electrical resistance, electrochemical reactions, and temperature was solved in the cell domain. The temperature evolutions at a high discharge rate and during external shorting were obtained. Strategies for modifying the cooling water states or designing cold plates with special channels to release the generated heat were proposed. It was found that although the temperature of the running battery increased quickly to 80 degrees C, which could trigger a thermal runaway, the cell temperature and temperature gradients were maintained at a tolerable level at a suitable coolant inlet velocity and temperature, even at a 5C discharge rate and under external shorting conditions. For a large-scale battery pack, the heat generated by the Li-ion cells accumulates inside the module, which poses a high risk of thermal runaway. The cold water flowed into the center of the battery pack through channels and the predicted maximum cell temperature and maximum temperature difference in the pack were maintained below 40 degrees C and 5 degrees C respectively at a 5C discharge rate.
机译:锂离子(锂离子)电池是纯电动车辆(EVS)和混合动力电动汽车(HEV)的最有前途的电源,因为电池的高功率低,自放电率低,重量低,寿命长,没有记忆效果。然而,巨大的发热限制了性能甚至导致安全问题。虽然在本主题进行了许多研究,但电池单元的热控制仍然是一个具有挑战性的问题。在该研究中,使用多域建模框架进行由24棱镜电池组成的锂离子电池单元的三维分析和由24个棱柱电池组成的电池组组成的电池组。众所周知的纽曼,Tiedemann,GU和Kim(NTGK)模型用于次级电化学建模和由于电阻,电化学反应和温度引起的热产生问题在细胞域中得到了解决。获得高放电速率和外部短路期间的温度演进。提出了改变冷却水状态或设计具有特殊通道的冷板来释放产生的热的策略。结果发现,尽管运行电池的温度快速增加到80℃,但是可以在适当的冷却剂入口速度和温度下触发热失控,电池温度和温度梯度在适当的冷却剂入口速度和温度下保持在可容许的水平。放电率和在外部短路条件下。对于大型电池组,由锂离子电池产生的热量积聚在模块内部,这呈现出高耐热失控的风险。流入电池组中心的冷水通过通道和预测的最大电池温度和包装中的最高温度差异以5C放电速率分别在40摄氏度和5℃下保持。

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