Modeling and Simulation for Capacity Fade Prediction of Lithium-Ion Battery

B. Bairwa, Santoshkumar Hampannavar, Kaushik S Vishal, K. Bhargavi
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引用次数: 11

Abstract

This work shows the modeling and simulation-based health analysis for the lithium-ion battery. In the lithiumion batteries health is the burning issue. In this work health is predicted for the lithium-ion single cell. The lithium-ion generic model is trained by the various number of charging and discharging cycles 100 cycle to 1000 cycles for the analysis. Lithium-ion battery voltage is predicted with aging at constant discharging rate 1C. The capacity of the battery compared with the SoC of the with time and voltage. Nominal 3.8 volt and 2Ah rated Lithium Ion NMC cell have been investigated for this work .This study exhibits the lithium ion battery health condition with higher use of the battery in the everyday day life. The simulation results show the overall capacity fading behaviour in the proposed work.
锂离子电池容量衰减预测的建模与仿真
这项工作展示了基于建模和仿真的锂离子电池健康分析。在锂离子电池中,健康是最紧迫的问题。在这项工作中,对锂离子单体电池的健康状况进行了预测。锂离子通用模型通过不同的充放电循环次数进行训练,从100次循环到1000次循环进行分析。在恒放电倍率1C下,对锂离子电池电压进行了老化预测。电池容量与SoC的比较随时间和电压的变化而变化。本研究以标称3.8伏、额定2Ah的锂离子NMC电池为研究对象,展示了锂离子电池在日常生活中使用频率较高时的健康状况。仿真结果显示了所提算法的总体容量衰落行为。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
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