Interactive learning on predicting battery degradation through Python software

Interactive learning on predicting battery degradation through Python software

The premise of interactive learning is to create engaging and effective learning experiences for participants through active participation. This report documents the approach of creating an interactive platform for students to study about battery degradation using both hardware & software. The i...

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Main Author: Wong, Johnathan Jia Zhen
Other Authors: Boon Chirn Chye
Format: Final Year Project
Language:English
Published: Nanyang Technological University 2024
Subjects:
Engineering
Online Access:https://hdl.handle.net/10356/176855
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Institution: Nanyang Technological University
Language: English
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spelling sg-ntu-dr.10356-1768552024-05-24T15:45:15Z Interactive learning on predicting battery degradation through Python software Wong, Johnathan Jia Zhen Boon Chirn Chye School of Electrical and Electronic Engineering ECCBoon@ntu.edu.sg Engineering The premise of interactive learning is to create engaging and effective learning experiences for participants through active participation. This report documents the approach of creating an interactive platform for students to study about battery degradation using both hardware & software. The intended learning outcomes of the designed learning platform aims to teach users about lithium-ion batteries, circuit theory and digital circuits and machine learning techniques to develop a suitable model which can predict the battery’s state of health. Bachelor's degree 2024-05-21T07:52:22Z 2024-05-21T07:52:22Z 2024 Final Year Project (FYP) Wong, J. J. Z. (2024). Interactive learning on predicting battery degradation through Python software. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/176855 https://hdl.handle.net/10356/176855 en 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
spellingShingle Engineering
Wong, Johnathan Jia Zhen
Interactive learning on predicting battery degradation through Python software
description The premise of interactive learning is to create engaging and effective learning experiences for participants through active participation. This report documents the approach of creating an interactive platform for students to study about battery degradation using both hardware & software. The intended learning outcomes of the designed learning platform aims to teach users about lithium-ion batteries, circuit theory and digital circuits and machine learning techniques to develop a suitable model which can predict the battery’s state of health.
author2 Boon Chirn Chye
author_facet Boon Chirn Chye
Wong, Johnathan Jia Zhen
format Final Year Project
author Wong, Johnathan Jia Zhen
author_sort Wong, Johnathan Jia Zhen
title Interactive learning on predicting battery degradation through Python software
title_short Interactive learning on predicting battery degradation through Python software
title_full Interactive learning on predicting battery degradation through Python software
title_fullStr Interactive learning on predicting battery degradation through Python software
title_full_unstemmed Interactive learning on predicting battery degradation through Python software
title_sort interactive learning on predicting battery degradation through python software
publisher Nanyang Technological University
publishDate 2024
url https://hdl.handle.net/10356/176855
_version_ 1814047064051417088

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