ICAPMA 2019 Conference

Analysis of Battery Voltage and Stability Using Gaussian Probability Distribution Theory
Haris Rosdianto (a*), Susan Junaidi (a), Nalti Kurniati (a), Andry Novyanti (a)

a) Department of Physics Education, STKIP Singkawang
Jl. STKIP, Kelurahan Naram, Kecamatan Singkawang Tengah, Kota Singkawang, Kalimantan Barat, Indonesia
*harisrodianto[at]yahoo.com


Abstract

To evaluate the potential of various types of batteries, the study focused on the differences of voltage and stability between two types of batteries, namely dry cell and alkaline batteries. The data needed in this study was the output voltage of each battery obtained using the Zelscope application. The output voltage data was then processed using Gaussian Probability Distribution Theory. From the results of data processing, the average output voltage value and the standard deviation of each type of battery were obtained. The voltage difference between the two types of batteries is seen from the average output voltage value. The difference in stability between two batteries is seen from the standard deviation value, the smaller the standard deviation means the output voltage variation was more homogen which means the battery was more stable. From each type of battery, a graph was made based on the Gaussian probability distribution theory to compare the steepness of each graph. Overall, it can be concluded that alkaline batteries are relatively more potential compared to dry cell batteries.

Keywords: Gaussian Probability Distribution Theory; Voltage; Stability; Battery; Dry Cell; Alkaline

Topic: Physics related sciences

Link: https://ifory.id/abstract-plain/t2JBhWrpE7j4

Web Format | Corresponding Author (Haris Rosdianto)