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Highlight Talk on Battery Modeling: Trade-offs between Accuracy and Complexity

机译：有关电池建模的重点演讲：精度与复杂性之间的权衡

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摘要

We are addressing in this Highlight Talk the general problem of finding a model with the right level of complexity and accuracy for a given use case. Focusing on energy systems and more precisely on how such systems would benefit from energy storage, we discuss what makes a good battery model and propose a suite of battery models going from extremely simple to complex and compare their pros and cons on two use cases. An accurate battery model is critical for energy system analysis studies. However, developing such a model is challenging because electrochemical batteries exhibit complex behaviours, these include voltage hysteresis [14], memory effects [17], temperature dependencies [6], and state of health [2]. These behaviours are often non-linear and can only be described with non-polynomial equations. Instead, simpler models, which characterize only first-order battery characteristics such as energy efficiency and energy content limits, are often used, especially when the battery operation or design necessitates the resolution of an optimization problem. The most basic property of these simple models is that they are, what we call, tractable, i.e., they only comprise simple polynomial functions.
机译：我们将在“精彩演讲”中解决在给定用例下找到具有适当级别的复杂性和准确性的模型的一般问题。我们将重点放在能源系统上，更确切地讲，这些系统将如何从能量存储中受益，我们讨论了什么是好的电池模型，并提出了一套从极简单到复杂的电池模型，并比较了它们在两个用例中的优缺点。准确的电池模型对于能源系统分析研究至关重要。然而，由于电化学电池表现出复杂的行为，包括电压滞后[14]，记忆效应[17]，温度依赖性[6]和健康状态[2]，因此开发这种模型具有挑战性。这些行为通常是非线性的，只能用非多项式方程式描述。取而代之的是，通常使用更简单的模型，该模型仅表征一阶电池的特性，例如能效和能量含量限制，特别是当电池的运行或设计需要解决优化问题时。这些简单模型的最基本特性是，它们被称为易处理的，即它们仅包含简单的多项式函数。

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  • 来源
    《Performance evaluation review》 |2018年第3期|82-83|共2页
  • 作者

    Catherine Rosenberg;

  • 作者单位

    Department of Electrical and Computer Engineering University of Waterloo Waterloo, Canada;

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