Modelling lithium ion battery remaining capacity

Normally, Batteries have their own useful cycle and useful life before going to the limit of their End-Of-Life(EOL). If we want to maximize the battery’s lifespan, we must go through a sequence of charging and discharging cycle. So we can avoid overcharge or overdischage. A very important pareameter...

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Main Author: Peng, Li
Other Authors: Su Haibin
Format: Final Year Project
Language:English
Published: 2016
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Online Access:http://hdl.handle.net/10356/66993
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-669932023-03-04T15:41:05Z Modelling lithium ion battery remaining capacity Peng, Li Su Haibin School of Materials Science and Engineering DRNTU::Engineering Normally, Batteries have their own useful cycle and useful life before going to the limit of their End-Of-Life(EOL). If we want to maximize the battery’s lifespan, we must go through a sequence of charging and discharging cycle. So we can avoid overcharge or overdischage. A very important pareameter we need to estimate is state of charge(SOC), because there is no direct measurement on it. The result of estimated SOC is the key to calculate battery remaining life or total lifespan. Failure of SOC estimation will lead to bad performance of battery and thus, shorten the lifetime of the battery. This report have some discussions on different techniques to estimate the SOC of battery(open-circuit voltage method, coulomb counting method and extended Kalman filter algorithm). Then a battery remaining life prediction model can be used to estimate remaining capacity of battery after using for a period of time. Lastly, the total battery lifetime or remaining life can be calculated. Bachelor of Engineering (Materials Engineering) 2016-05-10T01:31:06Z 2016-05-10T01:31:06Z 2016 Final Year Project (FYP) http://hdl.handle.net/10356/66993 en Nanyang Technological University application/pdf
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic DRNTU::Engineering
spellingShingle DRNTU::Engineering
Peng, Li
Modelling lithium ion battery remaining capacity
description Normally, Batteries have their own useful cycle and useful life before going to the limit of their End-Of-Life(EOL). If we want to maximize the battery’s lifespan, we must go through a sequence of charging and discharging cycle. So we can avoid overcharge or overdischage. A very important pareameter we need to estimate is state of charge(SOC), because there is no direct measurement on it. The result of estimated SOC is the key to calculate battery remaining life or total lifespan. Failure of SOC estimation will lead to bad performance of battery and thus, shorten the lifetime of the battery. This report have some discussions on different techniques to estimate the SOC of battery(open-circuit voltage method, coulomb counting method and extended Kalman filter algorithm). Then a battery remaining life prediction model can be used to estimate remaining capacity of battery after using for a period of time. Lastly, the total battery lifetime or remaining life can be calculated.
author2 Su Haibin
author_facet Su Haibin
Peng, Li
format Final Year Project
author Peng, Li
author_sort Peng, Li
title Modelling lithium ion battery remaining capacity
title_short Modelling lithium ion battery remaining capacity
title_full Modelling lithium ion battery remaining capacity
title_fullStr Modelling lithium ion battery remaining capacity
title_full_unstemmed Modelling lithium ion battery remaining capacity
title_sort modelling lithium ion battery remaining capacity
publishDate 2016
url http://hdl.handle.net/10356/66993
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