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Improving Battery Design with Electro-Thermal Modeling

机译:通过电热建模改善电池设计

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摘要

Temperature greatly affects the performance and life of batteries in electric and hybrid vehicles under realrndriving conditions, so increased attention is being paid to battery thermal management. Sophisticatedrnelectrochemical models and finite element analysis tools are available for predicting the thermalrnperformance of batteries, but each has limitations. In this study we describe an electro-thermal finiternelement approach that predicts the thermal performance of a cell or module with realistic geometry,rnmaterial properties, loads, and boundary conditions. To show the process, we simulated the thermalrnperformance of two generations of Panasonic prismatic nickel-metal-hydride modules used in the ToyotarnPrius. The model showed why the new generation of Panasonic modules had better thermal performance.rnThermal images from two battery modules under constant current discharge indicated that the modelrnpredicts the experimental trend reasonably well. These tools will greatly enhance the opportunity forrnlithium and other advanced batteries to perform better and become cost-effective alternatives in thernfuture. The model has been used to improve the thermal performance of cylindrical lithium-ion batteries.
机译:在行驶条件下,温度极大地影响了电动和混合动力汽车中电池的性能和寿命,因此人们越来越重视电池的热管理。复杂的电化学模型和有限元分析工具可用于预测电池的热性能,但是每个都有局限性。在这项研究中,我们描述了一种电热有限元方法,该方法利用实际的几何形状,材料特性,载荷和边界条件来预测电池或模块的热性能。为了显示该过程,我们模拟了ToyotarnPrius中使用的两代Panasonic棱柱形镍氢金属模块的热性能。该模型说明了为什么新一代Panasonic模块具有更好的热性能。在恒定电流放电下,两个电池模块的热图像表明该模型可以很好地预测实验趋势。这些工具将极大地提高锂和其他高级电池的性能,并成为成本效益更高的替代产品的机会。该模型已用于改善圆柱形锂离子电池的热性能。

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