Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery Model

A second-order discrete-time sliding mode observer (DSMO)-based method is proposed to estimate the state of charge (SOC) of a Li-ion battery. Unlike the first-order sliding mode approach, the proposed method eliminates the chattering phenomenon in SOC estimation. Further, a battery model with a dyna...

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Main Authors: Sang Woo Kim, Jae Jin Jeong, Taedong Goh, Daehyun Kim, Keunhwi Koo
Format: Article
Language:English
Published: MDPI AG 2013-10-01
Series:Energies
Subjects:
Online Access:http://www.mdpi.com/1996-1073/6/10/5538
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spelling doaj-5f20af84828d41bbaa6b66d0330a124a2020-11-24T23:48:31ZengMDPI AGEnergies1996-10732013-10-016105538555110.3390/en6105538Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery ModelSang Woo KimJae Jin JeongTaedong GohDaehyun KimKeunhwi KooA second-order discrete-time sliding mode observer (DSMO)-based method is proposed to estimate the state of charge (SOC) of a Li-ion battery. Unlike the first-order sliding mode approach, the proposed method eliminates the chattering phenomenon in SOC estimation. Further, a battery model with a dynamic resistance is also proposed to improve the accuracy of the battery model. Similar to actual battery behavior, the resistance parameters in this model are changed by both the magnitude of the discharge current and the SOC level. Validation of the dynamic resistance model is performed through pulse current discharge tests at two different SOC levels. Our experimental results show that the proposed estimation method not only enhances the estimation accuracy but also eliminates the chattering phenomenon. The SOC estimation performance of the second-order DSMO is compared with that of the first-order DSMO.http://www.mdpi.com/1996-1073/6/10/5538Li-ion batterysecond-order discrete sliding mode observerdynamic resistancestate of charge
collection DOAJ
language English
format Article
sources DOAJ
author Sang Woo Kim
Jae Jin Jeong
Taedong Goh
Daehyun Kim
Keunhwi Koo
spellingShingle Sang Woo Kim
Jae Jin Jeong
Taedong Goh
Daehyun Kim
Keunhwi Koo
Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery Model
Energies
Li-ion battery
second-order discrete sliding mode observer
dynamic resistance
state of charge
author_facet Sang Woo Kim
Jae Jin Jeong
Taedong Goh
Daehyun Kim
Keunhwi Koo
author_sort Sang Woo Kim
title Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery Model
title_short Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery Model
title_full Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery Model
title_fullStr Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery Model
title_full_unstemmed Second-Order Discrete-Time Sliding Mode Observer for State of Charge Determination Based on a Dynamic Resistance Li-Ion Battery Model
title_sort second-order discrete-time sliding mode observer for state of charge determination based on a dynamic resistance li-ion battery model
publisher MDPI AG
series Energies
issn 1996-1073
publishDate 2013-10-01
description A second-order discrete-time sliding mode observer (DSMO)-based method is proposed to estimate the state of charge (SOC) of a Li-ion battery. Unlike the first-order sliding mode approach, the proposed method eliminates the chattering phenomenon in SOC estimation. Further, a battery model with a dynamic resistance is also proposed to improve the accuracy of the battery model. Similar to actual battery behavior, the resistance parameters in this model are changed by both the magnitude of the discharge current and the SOC level. Validation of the dynamic resistance model is performed through pulse current discharge tests at two different SOC levels. Our experimental results show that the proposed estimation method not only enhances the estimation accuracy but also eliminates the chattering phenomenon. The SOC estimation performance of the second-order DSMO is compared with that of the first-order DSMO.
topic Li-ion battery
second-order discrete sliding mode observer
dynamic resistance
state of charge
url http://www.mdpi.com/1996-1073/6/10/5538
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