Prediction of Battery Lifetime using Hybrid Solar Power System

Q4 Mathematics
Norsuzila Ya’acob, Abang Syahizam Gobil Abang Apandi, Azita Laily Yuso, Murizah Kassim, Nani Fadzlina Na
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引用次数: 0

Abstract

In recent years there has been a great concern to implement more renewable energy sources to supply energy around the world. Solar energy seems to be a good choice since it is accessible and does not cause pollution. The main problem with the solar system is that energy production only takes place when the sun is shining. Large storage systems need to be developed to provide a constant and reliable source of electricity when the sun is not shining at night or when a cloud goes overhead. The main objective of this study is to predict the lifetime of the battery in the solar hybrid system. This will involve investigating the stress factor that contributes to the battery. From the simulation done in Matlab Simulink, a graph of state of charge (SOC) versus time is gathered with the help of the Rainflow algorithm extracted from the fatigue cycle of the battery. Once the fatigue cycle is determined, the ageing rate will be calculated. The outcome of this study is battery lifetime can be predicted and the proper battery can be used to reduce for maintenance purposes.
利用混合太阳能发电系统预测电池寿命
近年来,在世界范围内实施更多的可再生能源供应受到了极大的关注。太阳能似乎是一个很好的选择,因为它容易获得,而且不会造成污染。太阳系的主要问题是,只有在阳光明媚的时候,能量才会产生。需要开发大型存储系统,以便在夜间没有太阳照射或头顶有云时提供稳定可靠的电力来源。本研究的主要目的是预测太阳能混合动力系统中电池的寿命。这将包括调查影响电池性能的压力因素。通过Matlab Simulink仿真,利用从电池疲劳周期中提取的Rainflow算法,得到了电池荷电状态(SOC)随时间的变化曲线。一旦确定了疲劳周期,就可以计算出老化速率。本研究的结果是可以预测电池寿命,并且可以使用合适的电池来减少维护目的。
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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来源期刊
Philippine Statistician
Philippine Statistician Mathematics-Statistics and Probability
CiteScore
0.50
自引率
0.00%
发文量
92
期刊介绍: The Journal aims to provide a media for the dissemination of research by statisticians and researchers using statistical method in resolving their research problems. While a broad spectrum of topics will be entertained, those with original contribution to the statistical science or those that illustrates novel applications of statistics in solving real-life problems will be prioritized. The scope includes, but is not limited to the following topics:  Official Statistics  Computational Statistics  Simulation Studies  Mathematical Statistics  Survey Sampling  Statistics Education  Time Series Analysis  Biostatistics  Nonparametric Methods  Experimental Designs and Analysis  Econometric Theory and Applications  Other Applications
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