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Generalized Characterization Methodology for Performance Modelling of Lithium-Ion Batteries

机译:锂离子电池性能建模的广义表征方法

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摘要

Lithium-ion (Li-ion) batteries are complex energy storage devices with their performance behavior highly dependent on the operating conditions (i.e., temperature, load current, and state-of-charge (SOC)). Thus, in order to evaluate their techno-economic viability for a certain application, detailed information about Li-ion battery performance behavior becomes necessary.This paper proposes a comprehensive seven-step methodology for laboratory characterization of Li-ion batteries, in which the battery’s performance parameters (i.e., capacity, open-circuit voltage (OCV), and impedance) are determined and their dependence on the operating conditions are obtained. Furthermore, this paper proposes a novel hybrid procedure for parameterizing the batteries’ equivalent electrical circuit (EEC), which is used to emulate the batteries’ dynamic behavior. Based on this novel parameterization procedure, the performance model of the studied Li-ion battery is developed and its accuracy is successfully verified (maximum error lower than 5% and a mean error below 8.5 mV) for various load profiles (including a real application profile), thus validating the proposed seven-step characterization methodology.
机译:锂离子(Li-ion)电池是复杂的储能设备,其性能行为高度依赖于工作条件(即温度,负载电流和充电状态(SOC))。因此,为了评估其在特定应用中的技术经济可行性,有必要提供有关锂离子电池性能行为的详细信息。本文提出了一种用于锂离子电池实验室表征的全面七步方法,其中确定性能参数(即容量,开路电压(OCV)和阻抗),并获得它们对工作条件的依赖性。此外,本文提出了一种新颖的混合程序,用于对电池的等效电路(EEC)进行参数化,以模拟电池的动态行为。基于这种新颖的参数化程序,开发了所研究的锂离子电池的性能模型,并成功验证了其在各种负载曲线(包括实际应用曲线)下的准确性(最大误差低于5%,平均误差低于8.5 mV)。 ),从而验证了建议的七步表征方法。

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