Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems

Personal battery-powered devices like mobile phones, smart watches and smart glasses have become part of necessity in our daily life. Apart from sophisticated features, the battery lifetime or standby time is also one of the attractiveness of the devices. Most of these mobile or wearable devices us...

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Main Author: Wong , Teck Sing
Format: Thesis
Language:English
Published: 2016
Subjects:
Online Access:http://eprints.usm.my/41326/1/WONG_TECK_SING_24_Pages.pdf
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author Wong , Teck Sing
author_facet Wong , Teck Sing
author_sort Wong , Teck Sing
collection USM
description Personal battery-powered devices like mobile phones, smart watches and smart glasses have become part of necessity in our daily life. Apart from sophisticated features, the battery lifetime or standby time is also one of the attractiveness of the devices. Most of these mobile or wearable devices use Lithium-Ion(Li-Ion)-type batteries as they offer a variety of advantages such as the capability of holding the charge longer, the ability to be recharged numerous times, and most importantly, being lightweight. Many people tend to purchase those with longer battery standby time so that they do not have to recharge the devices very often or carry a backup power supply when they are on a travel. However, in many cases, the battery indicators of the devices do not exactly represent the remaining charge of the battery. This does not only lead to inaccurate description of the devices, but also leaves negative impressions to the users or buyers, which consequently affects the sales of the products. Hence a solution to accurately estimate available battery charge for remaining activities and optimization of battery usage based on device activities is important to give users a high quality user experience. In this thesis, a fuel gauge algorithm design is proposed to increase estimation accuracy of the state of charge (SOC) of the Li-ion battery. The design is based on the integration of coulomb counting and open-circuit-voltage methods. It is shown in this work that this technique is able to reduce the error to ±3%, which is a standard industry specification requirement.
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spelling usm.eprints-413262018-08-14T08:33:18Z http://eprints.usm.my/41326/ Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems Wong , Teck Sing TK7800-8360 Electronics Personal battery-powered devices like mobile phones, smart watches and smart glasses have become part of necessity in our daily life. Apart from sophisticated features, the battery lifetime or standby time is also one of the attractiveness of the devices. Most of these mobile or wearable devices use Lithium-Ion(Li-Ion)-type batteries as they offer a variety of advantages such as the capability of holding the charge longer, the ability to be recharged numerous times, and most importantly, being lightweight. Many people tend to purchase those with longer battery standby time so that they do not have to recharge the devices very often or carry a backup power supply when they are on a travel. However, in many cases, the battery indicators of the devices do not exactly represent the remaining charge of the battery. This does not only lead to inaccurate description of the devices, but also leaves negative impressions to the users or buyers, which consequently affects the sales of the products. Hence a solution to accurately estimate available battery charge for remaining activities and optimization of battery usage based on device activities is important to give users a high quality user experience. In this thesis, a fuel gauge algorithm design is proposed to increase estimation accuracy of the state of charge (SOC) of the Li-ion battery. The design is based on the integration of coulomb counting and open-circuit-voltage methods. It is shown in this work that this technique is able to reduce the error to ±3%, which is a standard industry specification requirement. 2016 Thesis NonPeerReviewed application/pdf en http://eprints.usm.my/41326/1/WONG_TECK_SING_24_Pages.pdf Wong , Teck Sing (2016) Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems. Masters thesis, Universiti Sains Malaysia.
spellingShingle TK7800-8360 Electronics
Wong , Teck Sing
Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems
title Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems
title_full Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems
title_fullStr Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems
title_full_unstemmed Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems
title_short Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems
title_sort design and analysis of li ion battery fuel gauge algorithm for mobile systems
topic TK7800-8360 Electronics
url http://eprints.usm.my/41326/1/WONG_TECK_SING_24_Pages.pdf
work_keys_str_mv AT wongtecksing designandanalysisofliionbatteryfuelgaugealgorithmformobilesystems