Please use this identifier to cite or link to this item: https://hdl.handle.net/10356/166245
Title: Battery state-of-charge estimation based on open-circuit voltage measurement
Authors: Li, Yixuan
Keywords: Engineering::Electrical and electronic engineering
Issue Date: 2023
Publisher: Nanyang Technological University
Source: Li, Y. (2023). Battery state-of-charge estimation based on open-circuit voltage measurement. Master's thesis, Nanyang Technological University, Singapore. https://hdl.handle.net/10356/166245
Abstract: The ever-increasing number of fossil fuel powered vehicles has led to the production of large amount of carbon dioxide, which results in environmental issues like global warming. The automotive industry is one of the primary contributors to the carbon footprint caused by automobile exhaust, which contains up to 100 different compounds. To combat these issues, electric vehicles (EVs) have been emerged as a solution due to their low pollution, energy-saving, and reduced exhaust emissions. The battery is the most crucial component of EVs, and the positive electrode material, which accounts for the highest proportion of the battery's cost, has become a focus in reducing battery cost. Among all the materials, the LiFePO4 battery (LFP) has been found to be the most suitable material because of its low cost, as well as large capacitance, long life-cycle, high-temperature stability, and high discharge capacity. The accurate estimation of the battery's state of charge (SOC) is essential for maintaining safe operation of the battery and maximizing its efficiency. However, the battery's nonlinear behavior during operation makes determining its SOC challenging. In this dissertation, the open-circuit voltage (OCV) of the battery will be explored as a parameter to estimate the SOC accurately with the objective to examine the suitability of OCV for the estimation of the SOC of the LFP battery.
URI: https://hdl.handle.net/10356/166245
Schools: School of Electrical and Electronic Engineering 
Fulltext Permission: restricted
Fulltext Availability: With Fulltext
Appears in Collections:EEE Theses

Files in This Item:
File Description SizeFormat 
LI YIXUAN.pdf
  Restricted Access
1.52 MBAdobe PDFView/Open

Page view(s)

222
Updated on May 7, 2025

Download(s) 50

23
Updated on May 7, 2025

Google ScholarTM

Check

Items in DR-NTU are protected by copyright, with all rights reserved, unless otherwise indicated.