Design of a 5.4 kJ/s three-phase resonant converter based on a lithium polymer battery

Cho, Chan-Gi; Jia, Ziyi; Ahn, Jae-Beom; Ryoo, Hong-Je

doi:10.1109/tdei.2018.007724

Cited by 2 publications

(2 citation statements)

References 15 publications

Supporting

Mentioning

Contrasting

Order By: Relevance

“…This capability allows the battery to be fully charged. The CC-CV process starts from the condition that the battery runs out or has been used [43]. The battery will be charged in CC mode with a constant current until the battery voltage reaches the maximum limit and in this study is 4.2 Volts.…”

Section: B Lipo Balance Charger Imax B6mentioning

confidence: 99%

Direct Comparison using Coulomb Counting and Open Circuit Voltage Method for the State of Health Li-Po Battery

Amifia¹

2022

Journal of Robotics and Control

View full text Add to dashboard Cite

Electric cars have undergone many developments in the current digital era. This is to avoid the use of increasingly scarce fuel. Recent studies on electric cars show that battery estimation is an interesting topic to be implemented directly. The battery estimation strategy is carried out by the Battery Management System (BMS). BMS is an indispensable part of electric vehicles or hybrid vehicles to ensure optimal and reliable operation of regulating, monitoring, and protecting batteries. A reliable BMS can extend battery life by setting voltage, temperature, and charging and discharging current limits. The main estimation strategy used by BMS is battery fault, SOH, and battery life. Battery State of Health (SOH) is part of the information provided by the BMS to avoid battery damage and failure. SOC is the proportion of battery capacity SOH is a measure of battery health. This study aims to develop a method for estimating SOH simultaneously using Coulomb Counting and Open Circuit Voltage (OCV) algorithms. The battery is modeled to obtain battery parameters and components of internal resistance, capacitance polarization and OCV voltage source. Several tests were implemented in this research by applying the constant current (CC)-charge CC-discharge test. The state-space system is then formed to apply the Coulomb Counting and OCV algorithms so that SOH can be estimated simultaneously. The OCV-SOC function is obtained in the form of a tenth order polynomial and the battery model parameters say that these parameters change with the health of the battery. The results of the model validation are able to accurately model the battery with an average relative error of 0.027%. Coulomb Counting resulted in an accurate SOH estimation with an error of 3.4%.

show abstract

Section: B Lipo Balance Charger Imax B6mentioning

confidence: 99%

Direct Comparison using Coulomb Counting and Open Circuit Voltage Method for the State of Health Li-Po Battery

Amifia¹

2022

Journal of Robotics and Control

View full text Add to dashboard Cite

show abstract

“…Chemical energy resources have also been used in the form of pulsed power [9]. Converters have also been fed by battery‐driven energy resources [10]. Modelling of nanoparticles has been introduced that have been found suitable for simulation and study of their different properties [11].…”

Section: Introductionmentioning

confidence: 99%

Switching transient‐based state of Ampere‐hour prediction of lithium‐ion, nickel‐cadmium, nickel‐metal‐hydride and lead acid batteries used in vehicles

Ray

Roy

Chattopadhyay³

2021

IET Nanodielectrics

View full text Add to dashboard Cite

The state of the ampere-hour capacity of the battery depends on the condition of materials used in it. Large reduction of capacity ends with maintenance or replacement of the battery. Modern battery materials include application of nanomaterials and nanotechnology in various stages of production. This article attempts to monitor the capacity of battery used for vehicles which are made of different types of materials using switching transients. The analytical part was done using wavelet-based decompositions. Data sets of large number of coefficients have been developed for learning. Their statistical behaviour has been studied, and monitoring was initially carried out by some selective parameters. Then the artificial neural network-based algorithm was developed which includes all features of statistical variation for better monitoring. Case studies have been carried out followed by comparison. The study ends with a satisfactory monitoring.This is an open access article under the terms of the Creative Commons Attribution-NonCommercial-NoDerivs License, which permits use and distribution in any medium, provided the original work is properly cited, the use is non-commercial and no modifications or adaptations are made.

show abstract

Design of a 5.4 kJ/s three-phase resonant converter based on a lithium polymer battery

Cited by 2 publications

References 15 publications

Direct Comparison using Coulomb Counting and Open Circuit Voltage Method for the State of Health Li-Po Battery

Direct Comparison using Coulomb Counting and Open Circuit Voltage Method for the State of Health Li-Po Battery

Switching transient‐based state of Ampere‐hour prediction of lithium‐ion, nickel‐cadmium, nickel‐metal‐hydride and lead acid batteries used in vehicles

Contact Info

Product

Resources

About