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Robust state-of-charge estimation of ultracapacitors for electric vehicles

2015 IEEE 13th International Conference on Industrial Informatics (INDIN), 2015
Ultracapacitors (UCs) are an important energy storage technology in automotive and grid applications. They have several advantages, including high power density and extraordinarily long lifespan. Accurate State-of-Charge (SOC) tracking of UCs is critical for the reliability, resilience, and safety in system operation. This paper presents a novel robust
Lei Zhang 0053   +3 more
openaire   +1 more source

Online Estimation of the State of Charge of a Lithium Ion Cell

ECS Meeting Abstracts, 2006
Abstract not Available.
Santhanagopalan, Shriram   +1 more
openaire   +1 more source

A Robust Algorithm for State-of-Charge Estimation With Gain Optimization

IEEE Transactions on Industrial Informatics, 2017
The charging and discharging procedure of a battery is a typical electrochemical process, which can be modeled as a dynamic system. State of charge (SoC) is a commonly used measure to quantify the charge stored in the battery in relation to its full capacity. Recent efforts of optimizing battery performance require more accurate SoC information.
Shaheer Muhammad   +5 more
openaire   +1 more source

State-of-charge estimation for supercapacitors: A Kalman filtering formulation

2014 IEEE International Conference on Acoustics, Speech and Signal Processing (ICASSP), 2014
Supercapacitors are an attractive option for energy buffering because of their high efficiency, durability, and low environmental impact. For energy-aware applications, it is desirable to accurately estimate the buffered energy. Under conditions of varying energy supply and demand, estimation of buffered energy by using only the supercapacitor terminal
Andrew Nadeau   +2 more
openaire   +1 more source

On-line battery state-of-charge estimation based on an integrated estimator

Applied Energy, 2017
Energy crises and environmental issues have promoted research into development of various types of electric vehicles (EVs). Since the control strategy of EVs is essentially dependent on the state-of-charge (SoC) estimation of the batteries, one of the most critical issues of battery management system (BMS) is to accurately estimate the SOC in real-time.
Yujie Wang, Chenbin Zhang, Zonghai Chen
openaire   +1 more source

Quantum neural network for State of Charge estimation

2014 6th International Conference on Information Technology and Electrical Engineering (ICITEE), 2014
State of Charge (SoC) estimation is one of the most important parts of Battery Management System (BMS). Inaccurate estimation of SoC may cause overcharge or overdischarge which could lead permanent damage to battery cells. Neural Network (NN) models can yield quite accurate SoC estimation. However, the computation effort is also quite huge and it takes
Kevin Gausultan Hadith Mangunkusumo   +5 more
openaire   +1 more source

Li-Ion state of charge estimation methods

2014 22nd Telecommunications Forum Telfor (TELFOR), 2014
The goal of this paper is to describe the key methods for state of charge estimation. The presented techniques are current counting method, open circuit voltage and battery internal resistance method. This paper describes these methods and compares their accuracy.
Petr Kribsky   +3 more
openaire   +1 more source

Review of Battery State-of-Charge Estimation Algorithms

2021
State of charge (SOC) is an important parameter used by a battery management system (BMS). Accurate and robust algorithms ensure the safe and reliable functioning of cells or batteries. Thus far, the algorithms developed depend mainly on the current and voltage data received from individual cells or the entire battery.
Kaustubh Kaushik   +2 more
openaire   +1 more source

State of Charge Estimation for Lithium Batteries in EV

Advanced Materials Research, 2012
The accurate estimate to remaining power of the lithium battery has a very important significance to continued operation of the electric vehicle. Based on the electrochemical mechanism of lithium batteries during charge and discharge, by using the genetic algorithms to determine the weights of the SVM network, a combination algorithm is applied to ...
Yang Yu, Wen Dong, Ze Long, Min Hong
openaire   +1 more source

State of Charge Estimation on Constrained Embedded Devices

2022 XXVIII International Conference on Information, Communication and Automation Technologies (ICAT), 2022
Edin Omerovic   +2 more
openaire   +1 more source

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