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Title: An AI based Li-ion fast battery charger
Authors: Li, Haocheng
Keywords: Engineering::Computer science and engineering
Issue Date: 2022
Publisher: Nanyang Technological University
Source: Li, H. (2022). An AI based Li-ion fast battery charger. Final Year Project (FYP), Nanyang Technological University, Singapore.
Project: SCSE21-0739
Abstract: As the society progress, batteries have become increasingly important in our daily lives. Not only that batteries are being used in varieties of areas, the increasing demand for large sized batteries also raise increasing demand for faster charging methods. This report will introduce traditional charging methods, Non‐Linear Voltammetry (NLV) charging method as well as the proposed Constant-Current Linear-Voltage (CC-LV) charging method as an improvement and simplification to NLV. This project focuses on improving the CC-LV test application as well as realization of the CC-LV algorithm in code.
Schools: School of Computer Science and Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)

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