Optimization of Li-ion modelling for automotive application: comparison of optimization methods performances

A. Meddour, N. Rizoug, A. Babin, Laid Degaa
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引用次数: 2

Abstract

The embedded storage system is the principal part in the electric vehicle. The vehicle's autonomy and price influence depend on the chosen source technology. For that, we must optimize the sizing and the ageing of the storage system using heavy-duty models. These last ones must take into account the battery behavior and the system cost. The development of an accurate multi-physical lithium battery model can be an extremely time-consuming process because of the complexity of the battery electrochemical phenomena that could occur during an automotive application. In this paper, we will start by introducing the proposed dynamic battery model, and submit the possibility of building an accurate dynamic design while highlighting the key objective of our study, which is the optimization algorithms performances comparison in terms of precision and computing time.
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汽车应用锂离子建模优化:优化方法性能比较
嵌入式存储系统是电动汽车的主体部分。车辆的自主性和价格影响取决于所选择的源技术。为此,我们必须使用重型模型来优化存储系统的大小和老化。最后这些必须考虑到电池的性能和系统成本。由于在汽车应用过程中可能发生的电池电化学现象的复杂性,开发精确的多物理锂电池模型可能是一个非常耗时的过程。在本文中,我们将首先介绍所提出的动态电池模型,并提出建立准确动态设计的可能性,同时突出我们研究的关键目标,即优化算法在精度和计算时间方面的性能比较。
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