Project Director
Ebiefung, Aniekan
Department Examiner
Gunasekera, Summith; Weerasena, Lakmali
Publisher
University of Tennessee at Chattanooga
Place of Publication
Chattanooga (Tenn.)
Abstract
In a time where individuals depend on their cell phones, the need for a long lasting and quick charging battery life is imperative. As information regarding how long a battery can remained charged is highly advertised, there is no information regarding how long it would take for a dead phone battery to completely charge. This study determined the amount of time it will take an iPhone 7 to charge from 0% to 100% using the standard charging cable under four different charging conditions. The charge percentage was recorded every two minutes until it was fully charged with this process being repeated ten times for each of the four charging circumstances. The average of each two-minute interval was calculated and used as the representative set of data for that charging circumstance. The collected data was analyzed in Excel and MATLAB using least squares curve fitting and used to construct a mathematical function that represents the charge rate. The information revealed that choosing one charging method did not result in a drastically different ending charge time from charging the same phone in another way. Mathematically, the data revealed that there were differing lines of best fit depending on the charging circumstance.
Degree
B. S.; An honors thesis submitted to the faculty of the University of Tennessee at Chattanooga in partial fulfillment of the requirements of the degree of Bachelor of Science.
Date
5-2020
Subject
Curve fitting; iPhone (Smartphone); Least squares
Discipline
Hardware Systems | Mathematics
Document Type
Theses
Extent
39 leaves
DCMI Type
Text
Language
English
Rights
http://rightsstatements.org/vocab/InC/1.0/
License
http://creativecommons.org/licenses/by-nc-nd/3.0/
Recommended Citation
Cahill, Grace, "Predictive modeling of iPhone 7 charge rates using least squares curve fitting" (2020). Honors Theses.
https://scholar.utc.edu/honors-theses/254
Department
Dept. of Mathematics