Results 181 to 190 of about 9,627 (228)

Current estimation using Thevenin battery model

open access: closedProceedings of the Joint International Conference on Electric Vehicular Technology and Industrial, Mechanical, Electrical and Chemical Engineering (ICEVT & IMECE), 2015
Current sensor is an important part of Battery Management System (BMS). Current information of a battery is very important to estimate the value of State of Charge (SOC) as a component of fault detection. Fault detection is very important to implement in BMS because of its function to protect battery from damage caused by over discharge and overcharge.
Wahyu Sukestyastama Putra   +3 more
exaly   +4 more sources

SOC Estimation of Lithium-Ion Battery Packs Based on Thevenin Model

open access: closedApplied Mechanics and Materials, 2013
Due to the immeasurability of SOC in battery and inevitability of error in current collection, SOC estimation of Lithium-ion battery has become a focus of EV research. With Thevenin equivalent circuit model, this paper employs EKF algorithm to estimate SOC, which takes into consideration both precision requirement of the estimation and amount of ...
Yuan Qi Fang, Xi Ming Cheng, Yi Lin Yin
exaly   +4 more sources

Thevenin-based Battery Model with Ageing Effects in Modelica

open access: closed2022 IEEE 21st Mediterranean Electrotechnical Conference (MELECON), 2022
Roman Milishchuk, Tetiana Bogodorova
exaly   +4 more sources

Accurate Method for Calculating the Effective Capacitance with RC Loads Based on the Thevenin Model

IEICE Transactions on Fundamentals of Electronics, Communications and Computer Sciences, 2009
In deep submicron designs, predicting gate delays with interconnect load is a noteworthy work for Static Timing Analysis (STA). The effective capacitance Ceff concept and the Thevenin model that replaces the gate with a linear resistor and a voltage source are usually used to calculate the delay of gate with interconnect load.
Minglu Jiang   +4 more
openaire   +3 more sources

Osculating Thevenin model for predicting delay and slew of capacitively characterized cells

open access: closedProceedings 2002 Design Automation Conference (IEEE Cat. No.02CH37324), 2002
To extrapolate from one point to another using a line, one had better get the slope right. In this paper we apply a similar concept to the important problem in Static Timing Analysis (STA) of predicting cell timing for RC loads using capacitive characterization data.
Bernard N. Sheehan
openaire   +2 more sources

Modeling Battery under Discharge Using Improved Thevenin-Shepherd Electrical Battery Model

open access: closed2018 IEEE Vehicle Power and Propulsion Conference (VPPC), 2018
This paper performs the modeling of a Lithium-ion (Li-ion) commercial battery. The battery model and the method of obtaining its parameters come from the available literature. The improved Thevenin- Shepherd electrical battery model is used with a second-order resistor-capacitor (RC) network. The Time-domain Parameter Extraction Method(TPEM) is used to
Ruben Hidalgo-Leon   +6 more
openaire   +2 more sources

Modeling of voltage source converters in microgrids using equivalent thevenin circuit

open access: closed2018 9th Annual Power Electronics, Drives Systems and Technologies Conference (PEDSTC), 2018
In this paper, a new modelling approach based on the equivalent Thevenin circuit is proposed for voltage source converters in islanded microgrids. The proposed method approximate the entire network connected to the voltage source converter with an equivalent Thevenin circuit. The equivalent circuit is first considered with a non-dynamic impedance. This
Mobin Naderi   +3 more
openaire   +2 more sources

Detailed Modelling Procedure for Lithium-ion Battery Using Thevenin Equivalent

open access: closed2019 IEEE International Conference on Electrical, Computer and Communication Technologies (ICECCT), 2019
This paper presents a comprehensive procedure for modelling of Lithium-ion batteries. The proposed modelling procedure adopts Thevenin equivalent circuit of both first and second orders in order to incorporate the dynamic characteristics of Li-ion batteries.
Lokesh Gurjer   +2 more
openaire   +2 more sources

An Improved PSO Algorithm for Battery Parameters Identification Optimization Based on Thevenin Battery Model

open access: closed2018 5th IEEE International Conference on Cloud Computing and Intelligence Systems (CCIS), 2018
Battery parameters identification is crucial for accurate prediction of battery life in electric vehicles. In order to optimize battery parameter identification, an improved PSO (particle swarm optimization) algorithm was proposed based on the use of Thevenin battery model to abstract the problem into an optimization problem.
Wei Peng   +4 more
openaire   +2 more sources

A Thevenin Model for Internal Electromagnetic Transient Characteristics Study of the MMCs

2023 IEEE/IAS Industrial and Commercial Power System Asia (I&CPS Asia), 2023
Ruting Tang   +3 more
openaire   +3 more sources

Home - About - Disclaimer - Privacy