State of health monitoring of Li-ion batteries

Li-Ion batteries are one of the most popular power sources in many engineering filed. Therefore, it is very important to achieve an accurate online estimation of the state of the health (SOH) of the Li-Ion batteries. The project develops a data-driven approach using novel health indicator (HI) for o...

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Main Author: Ma, Nantao
Other Authors: Xu Yan
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2021
Subjects:
Online Access:https://hdl.handle.net/10356/149676
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1496762023-07-07T17:28:35Z State of health monitoring of Li-ion batteries Ma, Nantao Xu Yan School of Electrical and Electronic Engineering xuyan@ntu.edu.sg Engineering::Electrical and electronic engineering Li-Ion batteries are one of the most popular power sources in many engineering filed. Therefore, it is very important to achieve an accurate online estimation of the state of the health (SOH) of the Li-Ion batteries. The project develops a data-driven approach using novel health indicator (HI) for online battery SOH estimation. The HI is extracted from the constant current charge process offline data. Bachelor of Engineering (Electrical and Electronic Engineering) 2021-06-07T05:14:44Z 2021-06-07T05:14:44Z 2021 Final Year Project (FYP) Ma, N. (2021). State of health monitoring of Li-ion batteries. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/149676 https://hdl.handle.net/10356/149676 en P1030-192 application/pdf Nanyang Technological University
institution Nanyang Technological University
building NTU Library
continent Asia
country Singapore
Singapore
content_provider NTU Library
collection DR-NTU
language English
topic Engineering::Electrical and electronic engineering
spellingShingle Engineering::Electrical and electronic engineering
Ma, Nantao
State of health monitoring of Li-ion batteries
description Li-Ion batteries are one of the most popular power sources in many engineering filed. Therefore, it is very important to achieve an accurate online estimation of the state of the health (SOH) of the Li-Ion batteries. The project develops a data-driven approach using novel health indicator (HI) for online battery SOH estimation. The HI is extracted from the constant current charge process offline data.
author2 Xu Yan
author_facet Xu Yan
Ma, Nantao
format Final Year Project
author Ma, Nantao
author_sort Ma, Nantao
title State of health monitoring of Li-ion batteries
title_short State of health monitoring of Li-ion batteries
title_full State of health monitoring of Li-ion batteries
title_fullStr State of health monitoring of Li-ion batteries
title_full_unstemmed State of health monitoring of Li-ion batteries
title_sort state of health monitoring of li-ion batteries
publisher Nanyang Technological University
publishDate 2021
url https://hdl.handle.net/10356/149676
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