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首页> 外文期刊>Electric Power Components and Systems >High Fidelity Equivalent Circuit Model Parameter Extraction for Characterization and Simulation of Li-Ion Cells in Battery Electric Vehicles
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High Fidelity Equivalent Circuit Model Parameter Extraction for Characterization and Simulation of Li-Ion Cells in Battery Electric Vehicles

机译：用于电池电动汽车中锂离子电池表征和仿真的高保真等效电路模型参数提取

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摘要

The battery management system (BMS) of battery electric vehicles (BEVs) requires highly fidelity equivalent circuit model of battery to replicate its behavior in real-time applications. The estimation of parameters of battery model is a nonlinear, high-dimensional, and complex problem. In this paper, the determination of battery parameters is expressed as an optimization problem with an objective function defined as minimization of the Manhattan distance between catalog voltage and estimated voltage curve. The dependency of model parameters on C-rate and State of Charge (SOC) has also been accounted. Six different heuristic optimization approaches are implemented for minimizing the objective function, and their performances have been compared statistically using parametric and nonparametric tests and based on their convergence characteristics. The proposed method is tested on Energy Innovation Group (EIG) battery with nominal voltage 2.5 V and capacity 8 Ah. The battery parameters are also obtained using the pulse current charge-discharge test and used as a benchmark to compare the results of the proposed method.
机译：电池电动汽车（BEV）的电池管理系统（BMS）需要电池的高保真等效电路模型，以在实时应用中复制其行为。电池模型参数的估计是一个非线性，高维，复杂的问题。在本文中，电池参数的确定表示为一个优化问题，其目标函数定义为最小化目录电压与估计电压曲线之间的曼哈顿距离。还考虑了模型参数对C速率和充电状态（SOC）的依赖性。实施了六种不同的启发式优化方法以最小化目标函数，并已使用参数测试和非参数测试并基于它们的收敛特性对它们的性能进行了统计比较。该方法在标称电压为2.5 V，容量为8 Ah的能源创新集团（EIG）电池上进行了测试。还可以使用脉冲电流充放电测试获得电池参数，并将其用作比较该方法结果的基准。

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