ESTIMATION OF THE STATE OF CHARGE FOR LI-ION BATTERY DISCHARGE

碩士 === 大同大學 === 電機工程學系(所) === 102 === In today’s society, portable electric devices are more popular. So what kind of battery it used very important. Rechargeable Li-ion battery fit portable electric devices required. But the behavior of battery is difficult to predict. So battery management sys...

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Main Authors: Ting-Tsai Wu, 吳丁財
Other Authors: Chung-Chun Kung
Format: Others
Language:en_US
Published: 2014
Online Access:http://ndltd.ncl.edu.tw/handle/ns5sv7
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spelling ndltd-TW-102TTU054420302019-05-15T21:32:55Z http://ndltd.ncl.edu.tw/handle/ns5sv7 ESTIMATION OF THE STATE OF CHARGE FOR LI-ION BATTERY DISCHARGE 鋰電池於放電狀態下之殘電量估測 Ting-Tsai Wu 吳丁財 碩士 大同大學 電機工程學系(所) 102 In today’s society, portable electric devices are more popular. So what kind of battery it used very important. Rechargeable Li-ion battery fit portable electric devices required. But the behavior of battery is difficult to predict. So battery management system (BMS) became an important course. It provided for management, monitoring, and diagnosis optimum performance of a battery. And measurement of SOC is one basis function of the BMS, which indicates the remaining charge of the battery so that users can be reminded to charge the battery prior to its depletion. In this thesis, we want to estimate the SOC for Li-ion battery. Therefore the state of Li-ion battery represent by an equivalent circuit model (ECM). However, in order to obtain ECM parameters we designed some experiments. And the experimental data using a first order least square method to fit these and then to get the ECM parameters. Then, we substitute these ECM parameters into state-space equation to estimate the SOC. Finally we will compare with the SOC estimator for Li-ion battery by the fuzzy C-regression model to validate effectiveness of the proposed method. Chung-Chun Kung 龔宗鈞 2014 學位論文 ; thesis 62 en_US
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description 碩士 === 大同大學 === 電機工程學系(所) === 102 === In today’s society, portable electric devices are more popular. So what kind of battery it used very important. Rechargeable Li-ion battery fit portable electric devices required. But the behavior of battery is difficult to predict. So battery management system (BMS) became an important course. It provided for management, monitoring, and diagnosis optimum performance of a battery. And measurement of SOC is one basis function of the BMS, which indicates the remaining charge of the battery so that users can be reminded to charge the battery prior to its depletion. In this thesis, we want to estimate the SOC for Li-ion battery. Therefore the state of Li-ion battery represent by an equivalent circuit model (ECM). However, in order to obtain ECM parameters we designed some experiments. And the experimental data using a first order least square method to fit these and then to get the ECM parameters. Then, we substitute these ECM parameters into state-space equation to estimate the SOC. Finally we will compare with the SOC estimator for Li-ion battery by the fuzzy C-regression model to validate effectiveness of the proposed method.
author2 Chung-Chun Kung
author_facet Chung-Chun Kung
Ting-Tsai Wu
吳丁財
author Ting-Tsai Wu
吳丁財
spellingShingle Ting-Tsai Wu
吳丁財
ESTIMATION OF THE STATE OF CHARGE FOR LI-ION BATTERY DISCHARGE
author_sort Ting-Tsai Wu
title ESTIMATION OF THE STATE OF CHARGE FOR LI-ION BATTERY DISCHARGE
title_short ESTIMATION OF THE STATE OF CHARGE FOR LI-ION BATTERY DISCHARGE
title_full ESTIMATION OF THE STATE OF CHARGE FOR LI-ION BATTERY DISCHARGE
title_fullStr ESTIMATION OF THE STATE OF CHARGE FOR LI-ION BATTERY DISCHARGE
title_full_unstemmed ESTIMATION OF THE STATE OF CHARGE FOR LI-ION BATTERY DISCHARGE
title_sort estimation of the state of charge for li-ion battery discharge
publishDate 2014
url http://ndltd.ncl.edu.tw/handle/ns5sv7
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