Li-ion battery aging tests and data analytics
This project focuses on predicting the discharge capacity of lithium-ion batteries using data-driven models, with specific attention to two health indicators: Time Interval of Equal Discharge Voltage Difference (TIEDVD) and Incremental Capacity Peak (ICpeak). The study investigates the efficacy of t...
Main Author: | Tan, Zheng Nan |
---|---|
Other Authors: | Xu Yan |
Format: | Final Year Project (FYP) |
Language: | English |
Published: |
Nanyang Technological University
2024
|
Subjects: | |
Online Access: | https://hdl.handle.net/10356/181653 |
Similar Items
-
Progress and status of hydrometallurgical and direct recycling of Li-ion batteries and beyond
by: Larouche, François, et al.
Published: (2020) -
Model-based and data-driven state of charge estimation of Li-ion battery
by: Chen, Andi
Published: (2024) -
Porous Al/Al2O3 two-phase nanonetwork to improve electrochemical properties of porous C/SiO2 as anode for Li-ion batteries
by: Cui, Jinlong, et al.
Published: (2021) -
Recent advances in Zn-ion batteries
by: Song, Ming, et al.
Published: (2019) -
A cathode for Li-ion batteries made of vanadium oxide on vertically aligned carbon nanotube arrays/graphene foam
by: Jiang, Haifeng, et al.
Published: (2021)