New Dynamic Battery Model for Hybrid Vehicles and Dynamic Model Analysis Using Simulink

Wijewardana, S.

doi:10.4038/engineer.v47i4.6883

Cited by 4 publications

(7 citation statements)

References 11 publications

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“…Mathematical modeling and dynamic simulation of battery storage systems can be challenging due to their nonlinear nature. The published literature has presented several thermal models of lithium-ion battery packs [9,10].…”

Section: Battery Modelmentioning

confidence: 99%

Modeling and Control of a Microgrid Connected to the INTEC University Campus

et al. 2021

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A smart microgrid is a bidirectional electricity generation system—a type of system that is becoming more prevalent in energy production at the distribution level. Usually, these systems have intermittent renewable energy sources, e.g., solar and wind energy. These low voltage networks contribute to decongestion through the efficient use of resources within the microgrid. In this investigation, an energy management strategy and a control scheme for DG units are proposed for DC/AC microgrids. The objective is to implement these strategies in an experimental microgrid that will be developed on the INTEC university campus. After presenting the microgrid topology, the modeling and control of each subsystem and their respective converters are described. All possible operation scenarios, such as islanded or interconnected microgrids, different generation-load possibilities, and state-of-charge conditions of the battery, are verified, and a seamless transition between different operation modes is ensured. The simulation results in Matlab Simulink show how the proposed control system allows transitions between the different scenarios without severe transients in the power transfer between the microgrid and the low voltage network elements.

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Section: Battery Modelmentioning

confidence: 99%

Modeling and Control of a Microgrid Connected to the INTEC University Campus

et al. 2021

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“…The effect of the temperature on the behavior of battery was modeled by an adaptation made by Wijewardana [125]. The mentioned author stated that the temperature influenced four parameters of This model accurately represents the dynamic phenomenon of the voltage when the current varies, and the open circuit voltage is considered as a function of the state of charge of the battery [122,123].…”

Section: Battery Bankmentioning

confidence: 99%

“…The effect of the temperature on the behavior of battery was modeled by an adaptation made by Wijewardana [125]. The mentioned author stated that the temperature influenced four parameters of the battery, which were the polarization constant (K), the battery voltage constant (E 0 ), the exponential zone amplitude (A), and the exponential zone time constant inverse (B).…”

Section: Battery Bankmentioning

confidence: 99%

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Performance Analysis of a Stirling Engine Hybrid Power System

et al. 2020

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The Bolivian government’s concerns that are related to reducing the consumption of diesel fuel, which is imported, subsidized, and provided to isolated electric plants in rural communities, have led to the implementation of hybrid power systems. Therefore, this article presents the performance analysis in terms of energy efficiency, economic feasibility, and environmental sustainability of a photovoltaic (PV)/Stirling battery system. The analysis includes the dynamic start-up and cooling phases of the system, and then compares its performance with a hybrid photovoltaic (PV)/diesel/battery system, whose configuration is usually more common. Both systems were initially optimized in size using the well-known energy optimization software tool, HOMER. An estimated demand for a hypothetical case study of electrification for a rural village of 102 households, called “Tacuaral de Mattos”, was also considered. However, since the characteristics of the proposed systems required a detailed analysis of its dynamics, a dynamic model that complemented the HOMER analysis was developed using MATLAB Simulink TM 8.9. The results showed that the PV/Stirling battery system represented a higher performance option to implement in the electrification project, due to its good environmental sustainability (69% savings in CO2 emissions), economic criterion (11% savings in annualized total cost), and energy efficiency (5% savings in fuel energy conversion).

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“…The newly released MATLAB software version R2017b [11] [12] includes a generic lithium-ion battery model that incor-porates the temperature and aging functions and these effects on battery performance can be evaluated individually. This generic MATLAB battery model has been modified by many researchers to include some missing features, such as the self-discharge and internal resistance variation [13], nonlinear temperature dependence [14], and is commonly applied to the dynamic analysis for electric vehicles [12] [15]. The most advantageous feature of the generic MATLAB battery model is that the model parameters are estimated from a manufacturer's datasheet and only three points on one discharge curve are needed, namely the initial fully charged point (100% state of charge), the point at the end of exponential zone and the point at the end of nominal zone [7].…”

Section: Introductionmentioning

confidence: 99%

A Generic Battery Model and Its Parameter Identification

Song¹,

Sun²,

Wang³

et al. 2018

EPE

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A new dynamic model is developed in this paper based on the generic MATLAB battery model. The battery capacity is expressed as a function of the self-discharge rate, the discharge current, the cycling life and the temperature of the battery. The dependence of the model parameters on cycle life and temperature are estimated from the first order approximation. The detailed procedures and formula to extract the model parameters are presented and the extraction relies only on the discharge curves at two different discharge currents, at two different life cycles, and at two different temperatures. These discharge curves are typically provided in the battery manufacturer's datasheet. The proposed model is verified for both nickel-metal hydride and lithium-ion batteries by comparing the calculated discharge curves with the results from the generic MATLAB model. The model is further validated for the Sinopoly lithium-ion battery (SP-LFP1000AHA) by comparing the model results with the discharge curves from the manufacturer's datasheet at different discharge currents, different cycling numbers, and different temperatures. Simulation results show that the new model can correctly predict voltage separation beyond the nominal zone while maintaining the same level of accuracy as the generic MATLAB model in the exponential and nominal zones.

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New Dynamic Battery Model for Hybrid Vehicles and Dynamic Model Analysis Using Simulink

Cited by 4 publications

References 11 publications

Modeling and Control of a Microgrid Connected to the INTEC University Campus

Modeling and Control of a Microgrid Connected to the INTEC University Campus

Performance Analysis of a Stirling Engine Hybrid Power System

A Generic Battery Model and Its Parameter Identification

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