Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/163168
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dc.contributor.authorLi, Haochengen_US
dc.date.accessioned2022-11-29T00:24:59Z-
dc.date.available2022-11-29T00:24:59Z-
dc.date.issued2022-
dc.identifier.citationLi, H. (2022). An AI based Li-ion fast battery charger. Final Year Project (FYP), Nanyang Technological University, Singapore. https://hdl.handle.net/10356/163168en_US
dc.identifier.urihttps://hdl.handle.net/10356/163168-
dc.description.abstractAs 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.en_US
dc.language.isoenen_US
dc.publisherNanyang Technological Universityen_US
dc.relationSCSE21-0739en_US
dc.subjectEngineering::Computer science and engineeringen_US
dc.titleAn AI based Li-ion fast battery chargeren_US
dc.typeFinal Year Project (FYP)en_US
dc.contributor.supervisorDouglas Maskellen_US
dc.contributor.schoolSchool of Computer Science and Engineeringen_US
dc.description.degreeBachelor of Science in Data Science and Artificial Intelligenceen_US
dc.contributor.supervisoremailASDouglas@ntu.edu.sgen_US
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Appears in Collections:SCSE Student Reports (FYP/IA/PA/PI)
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