2006
DOI: 10.1109/tec.2006.874229
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Accurate electrical battery model capable of predicting runtime and I-V performance

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Cited by 1,939 publications
(1,131 citation statements)
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References 26 publications
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“…Some models are established based on the electrochemical features of the power battery [17,18]. However, these models can not express the high frequency characteristics, which are most important for interference analysis.…”
Section: Power Batterymentioning
confidence: 99%
“…Some models are established based on the electrochemical features of the power battery [17,18]. However, these models can not express the high frequency characteristics, which are most important for interference analysis.…”
Section: Power Batterymentioning
confidence: 99%
“…Also, as the main energy storage equipment in electric vehicles, its parameters change with the energy storage state, which can be expressed by state of charge (SOC) of the power battery. Based on the estimation of SOC, the equivalent model of the power battery can be established [13]. In this model, internal resistance and self-discharge effects are considered [14].…”
Section: Equivalent Modelmentioning
confidence: 99%
“…Nevertheless, it does not express the effects of the battery. Some models of the power battery are established based on the electrochemical features [13,14]. However, these models cannot express the high frequency characteristics, which are very important for interference analysis.…”
Section: Introductionmentioning
confidence: 99%
“…The most common are electrochemical models, mathematical models, and electrical models (Chen & Rincon-Mora, 2006). Depending on the purpose of the simulation, an adequate approach must be chosen.…”
Section: Batterymentioning
confidence: 99%
“…These electrical models are equivalent circuits, consisting of voltage sources, resistors, and capacitors. (Ceraolo, 2000;Barsali & Ceraolo, 2002;Chen & Rincon-Mora, 2006) present detailed information on electrical battery models. A possible way to derive the parameters of such models is the method of impedance spectroscopy (Mauracher & Karden, 1997).…”
Section: Batterymentioning
confidence: 99%