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

Wong , Teck Sing (2016) Design And Analysis Of Li-Ion Battery Fuel Gauge Algorithm For Mobile Systems. Masters thesis, Universiti Sains Malaysia.

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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.

Item Type: Thesis (Masters)
Additional Information: Accession No: 875005979
Subjects: T Technology > TK Electrical Engineering. Electronics. Nuclear Engineering > TK7800-8360 Electronics
Divisions: Kampus Kejuruteraan (Engineering Campus) > Pusat Pengajian Kejuruteraaan Elektrik & Elektronik (School of Electrical & Electronic Engineering) > Thesis
Depositing User: Mr Mohd Fadli Abd Rahman
Date Deposited: 14 Aug 2018 08:33
Last Modified: 14 Aug 2018 08:33

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