Estimation of Transport and Kinetic Parameters of Vanadium Redox Batteries Using Static Cells and Electrochemical Models
Estimation of Transport and Kinetic Parameters of Vanadium Redox Batteries Using Static Cells and Electrochemical Models
复制标题
使用静态电池和电化学模型估计钒氧化还原电池的输运和动力学参数
DOI：
--
复制
发表时间：
2018
期刊：
影响因子：
--
通讯作者：
V. Subramanian
中科院分区：
文献类型：
--
作者：
V. Subramanian
氧化还原液流电池(RFB)的数学模型可以用来分析电池性能，优化电池运行，有效地控制储能系统。在许多其他模型中，基于物理的电化学模型能够预测电池的内部状态，如温度、充电状态和健康状态。在模型中，参数估计是利用实验数据对模型进行研究、分析和验证的重要步骤。一种常见的做法是通过进行实验或基于文献中提供的信息来确定这些参数。然而，通过这种方法研究模型的所有合适参数并不容易，有时还没有研究重要的信息，如离子的扩散系数和速率常数。此外，模拟充放电所需的参数并不总是可用的。本文将提出一种基于物理的氧化还原电池模型参数估计的有效方法。本文还证明了所提出的方法可以研究和分析RFB系统的容量损失/衰落、动力学和传输现象。
Mathematical models of Redox Flow Batteries (RFBs) can be used to analyze cell performance, optimize battery operation, and control the energy storage system efficiently. Among many other models, physics-based electrochemical models are capable of predicting internal states of the battery, such as temperature, state-of-charge, and state-of-health. In the models, estimating parameters is an important step that can study, analyze, and validate the models using experimental data. A common practice is to determine these parameters either through conducting experiments or based on the information available in the literature. However, it is not easy to investigate all proper parameters for the models through this way, and there are occasions when important information, such as diffusion coefficients and rate constants of ions, has not been studied. Also, the parameters needed for modeling charge-discharge are not always available. In this paper, an efficient way to estimate parameters of physics-based redox battery models will be proposed. This paper also demonstrates that the proposed approach can study and analyze aspects of capacity loss/fade, kinetics, and transport phenomena of the RFB system.