Obtaining a Model for the Voltage and Temperature of the US18650VTC6 Series Lithium-ion Battery in Constant Current Discharge Mode from the Analysis of Physical and Chemical Processes in the Accumulator

Starostin, I. E.; Khalyutin, Sergey P.; Davidov, Albert O.; Punt, Elena A.; Pavlova, Viktoriya I.

doi:10.1109/tsczh53346.2021.9628257

Cited by 2 publications

(4 citation statements)

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“…The correctness of the models obtained by the proposed method of mathe prototyping for specific instances of objects allows using this approach for: A mathematical model for the voltage and temperature of lithium-ion batteries of the US18650VTC6 series was obtained in [61,62] from test results similar to a nickel-cadmium battery. The largest relative error of this model did not exceed 12% [62]. Analytical expressions ( 25) and ( 26) in [62] were given by further modification of the Balter-Vollmer model [22,63].…”

Section: Discussionmentioning

confidence: 99%

“…The largest relative error of this model did not exceed 12% [62]. Analytical expressions ( 25) and ( 26) in [62] were given by further modification of the Balter-Vollmer model [22,63].…”

Section: Discussionmentioning

confidence: 99%

“…Based on this, in [61], a mathematical model for the voltage of a lithium-ion battery of the QL079KM series was obtained from the discharge voltage curves. A mathematical model for the voltage and temperature of lithium-ion batterie US18650VTC6 series was obtained in [61,62] from test results similar to a nickel-cad battery. The largest relative error of this model did not exceed 12% [62].…”

Section: Lithium-ion Accumulator Simulationmentioning

confidence: 99%

“…A mathematical model for the voltage and temperature of lithium-ion batterie US18650VTC6 series was obtained in [61,62] from test results similar to a nickel-cad battery. The largest relative error of this model did not exceed 12% [62]. Analytical sions ( 25) and ( 26) in [62] were given by further modification of the Balter-Vollmer [22,63].…”

Section: Lithium-ion Accumulator Simulationmentioning

confidence: 99%

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Generalized Method of Mathematical Prototyping of Energy Processes for Digital Twins Development

2023

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The use of digital twins in smart power systems at the stages of the life cycle is promising. The dynamics of such systems (smart energy renewable sources, smart energy hydrogen systems, etc.), are determined mainly by the physical and chemical processes occurring inside the systems. The basis for developing digital twins is reliable mathematical models of the systems. In the present paper, the authors present a method of energy processes mathematical prototyping—an overall approach to modeling processes of various physical and chemical natures based on modern non-equilibrium thermodynamics, mechanics, and electrodynamics. Controlled parameters are connected with measured ones by developing a theoretically correct system of process dynamics equations with accuracy up to the experimentally studied properties of substances and processes. Subsequent transformation into particular mathematical models of a specific class of systems makes this approach widely applicable. The properties of substances and processes are given in the form of functional dependencies on the state of the system up to experimentally determined constant coefficients. The authors consider algorithms for identifying the constant coefficients of the functions of substances and processes properties, which complement the proposed unified approach of designing models of various physical and chemical nature systems.

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Section: Discussionmentioning

confidence: 99%

“…The largest relative error of this model did not exceed 12% [62]. Analytical expressions ( 25) and ( 26) in [62] were given by further modification of the Balter-Vollmer model [22,63].…”

Section: Discussionmentioning

confidence: 99%