Please use this identifier to cite or link to this item: http://dspace.aiub.edu:8080/jspui/handle/123456789/1107
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

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