Prediction of Battery Lifetime using Hybrid Solar Power System

Authors

  • Norsuzila Ya’acob, Abang Syahizam Gobil Abang Apandi, Azita Laily Yuso, Murizah Kassim, Nani Fadzlina Naim

DOI:

https://doi.org/10.17762/msea.v71i2.80

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.

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Published

2022-04-07

How to Cite

Azita Laily Yuso, Murizah Kassim, Nani Fadzlina Naim, N. Y. A. S. G. A. A. (2022). Prediction of Battery Lifetime using Hybrid Solar Power System. Mathematical Statistician and Engineering Applications, 71(2), 208 –. https://doi.org/10.17762/msea.v71i2.80

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Section

Articles