Improved Coulumb Counting method for state of charge estimation of Lithium-ion battery with temperature consideration

In recent decades, Lithium-ion (Li-ion) battery has been dominating the battery technology in wide range of electronics application. A good utilization of battery technology comes with a proper management of its State of Charge (SOC) and state of health. Having a proper management and estimation of...

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Main Author:	Yusob, Siti Nur Murni
Format:	Thesis
Language:	English
Published:	2022
Subjects:	TK Electrical engineering Electronics Nuclear engineering
Online Access:	http://eprints.utm.my/id/eprint/99571/1/SitiNurMurniMSKE2022.pdf
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id	my-utm-ep.99571
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spelling	my-utm-ep.995712023-03-05T06:54:51Z Improved Coulumb Counting method for state of charge estimation of Lithium-ion battery with temperature consideration 2022 Yusob, Siti Nur Murni TK Electrical engineering. Electronics Nuclear engineering In recent decades, Lithium-ion (Li-ion) battery has been dominating the battery technology in wide range of electronics application. A good utilization of battery technology comes with a proper management of its State of Charge (SOC) and state of health. Having a proper management and estimation of SOC will ensure that the life span of battery can be prolong, as well as provide the safety to the users. Therefore, it is very crucial to have an efficient and accurate SOC estimation method. This project proposes an improved Coulumb Counting (CC) method for the SOC estimation of Lithium-ion battery. The conventional CC method suffers from few drawbacks in which it strongly depends on the precision of current sensors, initial value of SOC and the nominal capacity of the battery. A lot of research has been conducted to explore the possibility of improving the CC method. Most of the methods have combined CC method with different techniques of model-based method to overcome the aforementioned drawbacks. However, the research that has been performed only cover one or two limitations at a time. Therefore, this research is conducted to study an improved CC method with the focus on diminishing these three main drawbacks of CC method. The determination of initial SOC and calibration of nominal capacity has been performed by using SOC-OCV data curve which was obtained using the discharge pulse experiment of actual 18650 Li-ion battery. Meanwhile, a temperature compensation circuit is introduced to eliminate the temperature drift of current sensor. This project simulates the effectiveness of this improved CC method using MATLAB Simulink software under wide range operating temperature. An equivalent circuit model of 18650 Li-ion battery cell is used in the simulation to study the effectiveness of proposed method. The simulation result of this improved CC method shows a slight improvement in reducing the accuracy error after implementing each of the method proposed to reduce the drawbacks of CC method. The comparison of the results between conventional CC method and improved CC method implies that the improved CC method able to reduce the disadvantageous of conventional CC method. This method is envisioned to be useful for the future engineer and designer who would like to estimate the SOC of battery using an improved CC method with a higher accuracy requirement. 2022 Thesis http://eprints.utm.my/id/eprint/99571/ http://eprints.utm.my/id/eprint/99571/1/SitiNurMurniMSKE2022.pdf application/pdf en public http://dms.library.utm.my:8080/vital/access/manager/Repository/vital:149760 masters Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering Faculty of Engineering - School of Electrical Engineering
institution	Universiti Teknologi Malaysia
collection	UTM Institutional Repository
language	English
topic	TK Electrical engineering Electronics Nuclear engineering
spellingShingle	TK Electrical engineering Electronics Nuclear engineering Yusob, Siti Nur Murni Improved Coulumb Counting method for state of charge estimation of Lithium-ion battery with temperature consideration
description	In recent decades, Lithium-ion (Li-ion) battery has been dominating the battery technology in wide range of electronics application. A good utilization of battery technology comes with a proper management of its State of Charge (SOC) and state of health. Having a proper management and estimation of SOC will ensure that the life span of battery can be prolong, as well as provide the safety to the users. Therefore, it is very crucial to have an efficient and accurate SOC estimation method. This project proposes an improved Coulumb Counting (CC) method for the SOC estimation of Lithium-ion battery. The conventional CC method suffers from few drawbacks in which it strongly depends on the precision of current sensors, initial value of SOC and the nominal capacity of the battery. A lot of research has been conducted to explore the possibility of improving the CC method. Most of the methods have combined CC method with different techniques of model-based method to overcome the aforementioned drawbacks. However, the research that has been performed only cover one or two limitations at a time. Therefore, this research is conducted to study an improved CC method with the focus on diminishing these three main drawbacks of CC method. The determination of initial SOC and calibration of nominal capacity has been performed by using SOC-OCV data curve which was obtained using the discharge pulse experiment of actual 18650 Li-ion battery. Meanwhile, a temperature compensation circuit is introduced to eliminate the temperature drift of current sensor. This project simulates the effectiveness of this improved CC method using MATLAB Simulink software under wide range operating temperature. An equivalent circuit model of 18650 Li-ion battery cell is used in the simulation to study the effectiveness of proposed method. The simulation result of this improved CC method shows a slight improvement in reducing the accuracy error after implementing each of the method proposed to reduce the drawbacks of CC method. The comparison of the results between conventional CC method and improved CC method implies that the improved CC method able to reduce the disadvantageous of conventional CC method. This method is envisioned to be useful for the future engineer and designer who would like to estimate the SOC of battery using an improved CC method with a higher accuracy requirement.
format	Thesis
qualification_level	Master's degree
author	Yusob, Siti Nur Murni
author_facet	Yusob, Siti Nur Murni
author_sort	Yusob, Siti Nur Murni
title	Improved Coulumb Counting method for state of charge estimation of Lithium-ion battery with temperature consideration
title_short	Improved Coulumb Counting method for state of charge estimation of Lithium-ion battery with temperature consideration
title_full	Improved Coulumb Counting method for state of charge estimation of Lithium-ion battery with temperature consideration
title_fullStr	Improved Coulumb Counting method for state of charge estimation of Lithium-ion battery with temperature consideration
title_full_unstemmed	Improved Coulumb Counting method for state of charge estimation of Lithium-ion battery with temperature consideration
title_sort	improved coulumb counting method for state of charge estimation of lithium-ion battery with temperature consideration
granting_institution	Universiti Teknologi Malaysia, Faculty of Engineering - School of Electrical Engineering
granting_department	Faculty of Engineering - School of Electrical Engineering
publishDate	2022
url	http://eprints.utm.my/id/eprint/99571/1/SitiNurMurniMSKE2022.pdf
_version_	1776100619863457792

Improved Coulumb Counting method for state of charge estimation of Lithium-ion battery with temperature consideration

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