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Title: | Reliability Analysis of Different Cell Configurations of Lithium ion battery Pack |
Authors: | Ivan, Md. Nahian Al Subri Sujit, Devnath Faiz, Rethwan Ahmed, Kazi Firoz |
Keywords: | Weibull distribution, Exponential distribution, Maximum likelihood estimation, Shape parameter, Scale parameter, Rate parameter |
Issue Date: | 31-Aug-2019 |
Publisher: | The AIUB Journal of Science and Engineering (AJSE) |
Series/Report no.: | 18;2 |
Abstract: | To infer and predict the reliability of the remaining useful life of a lithium-ion (Li-ion) battery is very significant in the sectors associated with power source proficiency. As an energy source of electric vehicles (EV), Li-ion battery is getting attention due to its lighter weight and capability of storing higher energy. Problems with the reliability arises while li-ion batteries of higher voltages are required. As in this case several li-ion cells are connected in series and failure of one cell may cause the failure of the whole battery pack. In this paper, Firstly, the capacity degradation of li-ion cells after each cycle is observed and secondly with the help of MATLAB 2016 a mathematical model is developed using Weibull Probability Distribution and Exponential Distribution to find the reliability of different types of cell configurations of a non-redundant li-ion battery pack. The mathematical model shows that the parallel-series configuration of cells is more reliable than the series configuration of cells. The mathematical model also shows that if the discharge rate (C-rate) remains constant; there could be an optimum number for increasing the cells in the parallel module of a parallel-series onfiguration of cells of a non-redundant li-ion battery pack; after which only increasing the number of cells in parallel module doesn’t increase the reliability of the whole battery pack significantly. |
URI: | http://dspace.aiub.edu:8080/jspui/handle/123456789/1107 |
ISSN: | 1608-3679 |
Appears in Collections: | Publications From Faculty of Engineering |
Files in This Item:
File | Description | Size | Format | |
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Draft_DSpace_Publication_Info_Upload_FE_Rethwan Faiz- 6.docx | 2.93 MB | Microsoft Word XML | View/Open |
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