Modeling and Simulation of LiFePO4 Battery for Electric Vehicle

2013 ◽  
Vol 860-863 ◽  
pp. 1134-1141
Author(s):  
Chang Qing Du ◽  
Fan Li ◽  
Xian Jun Hou ◽  
Yi Fan Zhao
Keyword(s):  
Experimental Data ◽  
Data Analysis ◽  
Equivalent Circuit Model ◽  
Model Parameters ◽  
Traditional Model ◽  
Performance Tests ◽  
Discharge Performance ◽  
The Impact ◽  
Different Order ◽  
Charge Discharge

For accurately studying the performance of LiFePO4 battery group, this paper conducted CC and HPPC cycle charge/discharge performance tests of LiFePO4 battery, and designed an improved equivalent circuit model based on the data analysis. Compared to the traditional model, the model considered the impact of the hysteresis voltage, had more accurate corresponding relationship between SOC and balance voltage, obtained a more realistic overpotential property by contrasting different order models. Estimated model parameters, modeling in Matlab / Simulink environment and simulation in the UDDS condition, verified the accuracy and feasibility of the designed model by comparing with experimental data.

On the Research of Identification Methods for Supercapacitor Model Parameters

2015 ◽  
Vol 740 ◽  
pp. 499-502
Author(s):  
Qi Li ◽  
Wen Bin Zhang ◽  
Ping Li ◽  
Shi Su ◽  
Yu Ting Yan ◽  
...  
Keyword(s):  
Experimental Data ◽  
Parameter Estimation ◽  
Equivalent Circuit Model ◽  
Simulation System ◽  
New Method ◽  
Model Parameters ◽  
Identification Methods ◽  
Simulation Results ◽  
Charge Discharge ◽  
Constant Charge

The accuracy of model becomes increasingly demanding in the simulation system with the development of supercapacitor. The traditional methods of parameters identification in supercapacitor modeling are very complicated. This paper presents an easy and new method by the Simulink tool. The experimental data for the identification of the model parameters was obtained through the constant charge-discharge experiments. Then the variable capacitor of the supercapacitor equivalent circuit model was modeled in Simscape Language, so parameters directly got with Parameter estimation in Sumulink. Simulation results were presented and compared experimental data. And the result showed that the new method was not only speeded the identification of parameters, but also improved the modeling precision up to 98%.

Theoretical and experimental analysis for the impact response of glass fibre reinforced aluminium honeycomb sandwiches

2016 ◽  
Vol 20 (1) ◽  
pp. 42-69 ◽  
Author(s):  
Vincenzo Crupi ◽  
Emre Kara ◽  
Gabriella Epasto ◽  
Eugenio Guglielmino ◽  
Halil Aykul
Keyword(s):  
Experimental Data ◽  
Sandwich Structures ◽  
Low Velocity Impact ◽  
Balance Model ◽  
Model Parameters ◽  
Low Velocity ◽  
Internal Damage ◽  
Limit Loads ◽  
Load Carrying ◽  
The Impact

Honeycomb sandwich structures are increasingly used in the automotive, aerospace and shipbuilding industries where fuel savings, increase in load carrying capacity, vehicle safety and decrease in gas emissions are very important aspects. The aim of this study was to develop the theoretical methods, initially proposed by the authors and by other researchers for the prediction of low-velocity impact responses of sandwich structures. The developed methods were applied to sandwich structures with aluminium honeycomb cores and glass-epoxy facings for the assessment of impact parameters and for the prediction of limit loads. The values of model parameters were compared with data reported in literature and the predictions of the limit loads were validated by means of the experimental data. Good achievement was obtained between the results of the theoretical models and the experimental data. The failure mode and the internal damage of the sandwich panels have been investigated using 3D computed tomography, which allowed the evaluation of parameters of energy balance model, and infrared thermography, which allowed the detection of the temperature evolution of the specimens during the tests. The experimental and theoretical results demonstrated that the use of glass-epoxy reinforcement on aluminium honeycomb sandwiches enhances the energy absorption and load carrying capacities.

Numerical Investigation of Gravitational Compositional Grading in Hydrocarbon Reservoirs Using Centrifuge Data

2009 ◽  
Vol 12 (05) ◽  
pp. 793-802 ◽  
Author(s):  
P. David Ting ◽  
Birol Dindoruk ◽  
John Ratulowski
Keyword(s):  
Experimental Data ◽  
Phase Behavior ◽  
Rock Properties ◽  
Model Parameters ◽  
Fluid Composition ◽  
Bulk Fluid ◽  
Reservoir Fluid ◽  
Fluid Systems ◽  
Fluid Properties ◽  
The Impact

Summary Fluid properties descriptions are required for the design and implementation of petroleum production processes. Increasing numbers of deep water and subsea production systems and high-temperature/high-pressure (HTHP) reservoir fluids have elevated the importance of fluid properties in which well-count and initial rate estimates are quite crucial for development decisions. Similar to rock properties, fluid properties can vary significantly both aerially and vertically even within well-connected reservoirs. In this paper, we have studied the effects of gravitational fluid segregation using experimental data available for five live-oil and condensate systems (at pressures between 6,000 and 9,000 psi and temperatures from 68 to 200°F) considering the impact of fluid composition and phase behavior. Under isothermal conditions and in the absence of recharge, gravitational segregation will dominate. However, gravitational effects are not always significant for practical purposes. Since the predictive modeling of gravitational grading is sensitive to characterization methodology (i.e., how component properties are assigned and adjusted to match the available data and component grouping) for some reservoir-fluid systems, experimental data from a specially designed centrifuge system and analysis of such data are essential for calibration and quantification of these forces. Generally, we expect a higher degree of gravitational grading for volatile and/or near-saturated reservoir-fluid systems. Numerical studies were performed using a calibrated equation-of-state (EOS) description on the basis of fluid samples taken at selected points from each reservoir. Comparisons of measured data and calibrated model show that the EOS model qualitatively and, in many cases, quantitatively described the observed equilibrium fluid grading behavior of the fluids tested. First, equipment was calibrated using synthetic fluid systems as shown in Ratulowski et al. (2003). Then real reservoir fluids were used ranging from black oils to condensates [properties ranging from 27°API and 1,000 scf/stb gas/oil ratio (GOR) to 57°API and 27,000 scf/stb GOR]. Diagnostic plots on the basis of bulk fluid properties for reservoir fluid equilibrium grading tendencies have been constructed on the basis of interpreted results, and sensitivities to model parameters estimated. The use of centrifuge data was investigated as an additional fluid characterization tool (in addition to composition and bulk phase behavior properties) to construct more realistic reservoir fluid models for graded reservoirs (or reservoirs with high grading potential) have also been investigated.

scholarly journals Parametric Identification of the Models with Specified Quality Characteristics

2019 ◽  
Vol 29 (4) ◽  
pp. 480-495
Author(s):  
Olga G. Kantor ◽  
Semen I. Spivak ◽  
Nikolay D. Morozkin
Keyword(s):  
Experimental Data ◽  
Factor Model ◽  
Parametric Identification ◽  
Reaction Rate Constant ◽  
Quality Characteristics ◽  
Data Uncertainty ◽  
Parameter Estimates ◽  
Model Parameters ◽  
Chemical Reaction Rate Constant ◽  
The Impact

Introduction. The model of a given structure should be identified based on the results of solving the problem of parametric identification. This model should provide the best possible the database development reproduction of the experimental data. The concept of “best” is not strictly structured. Therefore, the procedure for identifying such a model is subject to natural logic and includes the stages of data a determination of a set of acceptable models and subsequent selection of the best of them. If the set of acceptable models is large, the procedure for determining the best one can be time-consuming. In this regard, the development of methods for parametric identification, which at the stage of creating a set of acceptable models allows taking into account the qualitative aspects of the identified dependence, which are of interest to the researcher, is of particular importance. Materials and Methods. The set of acceptable methods in the problems of parametric identification largely depends on the type of the experimental data. Uncertainty for example, probabilistic and statistical methods are useful if the observed factors are random and subject to any law of probability distribution. If the conditions for the use of such methods are not met, it may be useful to present an approach based on identifying the boundaries of location of the model parameters that ensure the achievement of specified levels of quality characteristics. Results. The procedure of parametric identification of models is formalized. It is based on the use of maximum permissible parameter estimates and allows one to determining the set of parameter values that guarantee the achievement of the required qualitative level of experimental data description, including from the standpoint of analyzing the impact of changes in accord with requirements to the accuracy of their reproduction. The approbation of the developed method on the example of the construction of a one-factor model of chemical kinetics is presented. Discussion and Conclusion. It is shown that the obtained value of the chemical reaction rate constant, in accordance with the introduced criteria, provides acceptable accuracy, adequacy, and stability of the identified kinetic model. At the same time, the results of calculations revealed the information that can form the basis for planning experiments carried out in order to improve the accuracy of the experimental data.

scholarly journals Electric Stimulation of Charge-Discharge Processes of Electrochemical Capacitors

2015 ◽  
Vol 16 (3) ◽  
pp. 565-568
Author(s):  
I.M. Budzulyak ◽  
B.I. Rachiy ◽  
V.M. Vashchynsky ◽  
N.Ya. Ivanichok ◽  
А.V. Lutsas ◽  
...  
Keyword(s):  
Experimental Data ◽  
Plant Material ◽  
Electric Stimulation ◽  
Electrochemical Capacitors ◽  
Main Mode ◽  
Nanoporous Carbon Material ◽  
The Impact ◽  
Charge Discharge ◽  
Stimulation Of

The research is devoted to study the impact of charge-discharge processes in electrochemical capacitors. Nanoporous carbon material was used like electrode material , which was gotten through carbonization of raw plant material. The supercapacitor model and main mode parameters of operation were chosen for this experiment. Experimental data were gotten, where we make the conclusion, that the long-term processing of electric stimulation enhances capacity properties of  electrochemical capacitors.

scholarly journals Urban green areas and real estate prices in Curitiba, Brazil

2020 ◽  
Vol 11 (6) ◽  
pp. 86-102
Author(s):  
Alessandro Panasolo ◽  
Franklin Galvão ◽  
Hermes Yukio Higachi ◽  
Edilson Batista de Oliveira ◽  
Fernando Campos de Oliveira ◽  
...  
Keyword(s):  
Data Analysis ◽  
Real Estate ◽  
Spatial Data Analysis ◽  
Model Parameters ◽  
Urban Green ◽  
Property Prices ◽  
Urban Green Areas ◽  
Green Areas ◽  
Real Estate Prices ◽  
The Impact

We attempted to identify to which extent the implicit ecosystem service values of urban green areas impact real estate values in the city of Curitiba, Brazil. The study is based on spatial econometrics techniques and hedonic price theory applied to 43 urban green areas, highlighting three units: the Airumã Private Natural Heritage Reserve, the Teresa Urban Ecological Station, and the President Getulio Vargas Refinery. Information was obtained on the structural characteristics of more than 5,300 apartments and houses. The results of exploratory spatial data analysis (ESDA) and estimates from hedonic regression model parameters show that the presence of urban green areas contribute to the final property prices. The effects of proximity to urban green areas on the price of urban residential property are not homogeneous and stationary throughout urban spaces and can generate distinct spatial clusters of real estate prices: high-high and low-low. The used methodology proved to be efficient to assess the value of urban green areas with regard to the use of information, processing, data analysis, and results generated. Furthermore, it measured the impact of these areas on property prices and provided easily interpretable data that can be relevant for payments for ecosystem services policies at the local level.

INDONESIA LANGUAGE INTERFERENCE FORM IN BASIC PPL LEARNING THAILAND UNHASY COLLEGE SYUDENTS

2020 ◽  
Vol 8 (2) ◽  
pp. 38
Author(s):  
Siti Mariana Ulfa
Keyword(s):  
Qualitative Research ◽  
Data Analysis ◽  
Data Collection ◽  
Teaching Practice ◽  
Data Presentation ◽  
Analysis Techniques ◽  
Thai Students ◽  
The Impact ◽  
Collection Methods ◽  
Recording Techniques

AbstractHumans on earth need social interaction with others. Humans can use more than one language in communication. Thus, the impact that arises when the use of one or more languages is the contact between languages. One obvious form of contact between languages is interference. Interference can occur at all levels of life. As in this study, namely Indonesian Language Interference in Learning PPL Basic Thailand Unhasy Students. This study contains the form of interference that occurs in Thai students who are conducting teaching practices in the classroom. This type of research is descriptive qualitative research that seeks to describe any interference that occurs in the speech of Thai students when teaching practice. Data collection methods in this study are (1) observation techniques, (2) audio-visual recording techniques using CCTV and (3) recording techniques, by recording all data that has been obtained. Whereas the data wetness uses, (1) data triangulation, (2) improvement in perseverance and (3) peer review through discussion. Data analysis techniques in this study are (1) data collection, (2) data reduction, (3) data presentation and (4) conclusions. It can be seen that the interference that occurs includes (1) interference in phonological systems, (2) interference in morphological systems and (3) interference in syntactic systems. 

Estimating OLED Display Device Lifetime from pixel and screen brightness and its application

2019 ◽  
Vol 2019 (1) ◽  
pp. 331-338 ◽  
Author(s):  
Jérémie Gerhardt ◽  
Michael E. Miller ◽  
Hyunjin Yoo ◽  
Tara Akhavan
Keyword(s):  
Image Processing ◽  
Power Consumption ◽  
Model Parameters ◽  
Display Device ◽  
Image Processing Algorithm ◽  
Pixel Value ◽  
Device Lifetime ◽  
The Impact ◽  
Oled Display

In this paper we discuss a model to estimate the power consumption and lifetime (LT) of an OLED display based on its pixel value and the brightness setting of the screen (scbr). This model is used to illustrate the effect of OLED aging on display color characteristics. Model parameters are based on power consumption measurement of a given display for a number of pixel and scbr combinations. OLED LT is often given for the most stressful display operating situation, i.e. white image at maximum scbr, but having the ability to predict the LT for other configurations can be meaningful to estimate the impact and quality of new image processing algorithms. After explaining our model we present a use case to illustrate how we use it to evaluate the impact of an image processing algorithm for brightness adaptation.

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