Results 141 to 150 of about 24,535,003 (193)

Current estimation using Thevenin battery model

Proceedings 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.
Oyas Wahyunggoro, Adha Cahyadi, Bobby Rian Dewangga   +2 more
exaly   +2 more sources

Calculating the Effective Capacitance for Interconnect Loads Based on Thevenin Model

2006 International Conference on Communications, Circuits and Systems, 2006
Interconnect wires give large influences on circuit delay in very deep submicron designs. Thevenin model and effective capacitance Ceff concept are usually used to calculate the delay of gate with interconnect loads. In the researches before, the condition that the charges transferred to Ceff and RC - ?are not equal was not considered.
Shuai Fang, Zhangcai Huang, Atsushi Kurokawa, Yasuaki Inoue   +3 more
openaire   +2 more sources

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

Proceedings 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.
B. Sheehan
openaire   +2 more sources

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

2018 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, Javier Urquizo, Pablo Jacome-Ruiz, Jaqueline Litardo, Pritpal Singh, Jinsong Wu, Guillermo Soriano   +6 more
openaire   +2 more sources

A source impedance compensated artificial voice for mask speech intelligibility testing: Thevenin model

The Journal of the Acoustical Society of America, 1996
This paper describes the development of a Thevenin model of the human voice for mask speech intelligibility testing. The following steps were used to develop the Thevenin model: (1) the long-term average speech spectrum of ten male speakers was measured; (2) the corresponding average vocal tract shape was estimated using linear prediction; (3) a ...
T A, Gerritsen, D O, Racansky, H, Kunov
openaire   +3 more sources

Comparison of Simple Battery Model and Thevenin Battery Model for SOC Estimation Based on OCV Method

2019 International Conference on Information and Communications Technology (ICOIACT), 2019
State of Charge (SOC) is a component of Battery Management System (BMS) which gives information on the remaining capacity of a battery. For monitoring purpose, SOC estimation is represented as ratio of the remaining capacity to the nominal capacity of a battery.
Susanna Susanna, Bobby Rian Dewangga, Oyas Wahyungoro, Adha Imam Cahyadi   +3 more
openaire   +2 more sources

An improved model based on artificial neural networks and Thevenin model for nickel metal hydride power battery

2010 International Conference on Optics, Photonics and Energy Engineering (OPEE), 2010
Based on artificial neural networks and Thenvenin model, this paper uses an improved model predicting state of charge. We combine artificial neural networks model with Thevenin model, and predict state of charge in real time at the same time. When the difference between the predictive value of artificial neural networks model and the predictive value ...
null Changhao Piao, null Xiaoyong Yang, null Cong Teng, null HuiQian Yang   +3 more
openaire   +2 more sources

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

2018 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, Zhengqiu Yang, Chen Liu 0011, Jiapeng Xiu, Zheng Zhang   +4 more
openaire   +2 more sources

State of Charge Estimation of Second Life Batteries Using First Order Thevenin Model

IEEE Conference on Energy Conversion, 2023
Second-life batteries (SLBs) are batteries that have reached the end of their useful life in one application but still have sufficient capacity to be used in another application.
Masoud A. Sahhouk, Aziz J.A, M. I. Ardani   +2 more
semanticscholar   +1 more source

An Improved Thevenin Model-based State-of-Charge Estimation of a Commercial Lithium-Ion Battery Using Kalman Filter

2023 IEEE Smart World Congress (SWC), 2023
Electric vehicles powered by Lithium-ion batteries are becoming increasingly popular due to global warming and fossil fuel depletion concerns. However, a major challenge lies in accurately estimating the state of charge (SoC) which affects the vehicle’s ...
Tarik Hawsawi, Muhammad Alolaiwy, Yamen Taleb, Abraham Mezaael, Mohamed Zohdy   +4 more
semanticscholar   +1 more source