Comprehensive Model for Real Battery Simulation Responsive to Variable Load
Gustavo Piske Fenner,
Leonardo Weber Stringini,
Camilo Alberto Sepulveda Rangel and
Luciane Neves Canha
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Gustavo Piske Fenner: Electromechanical and Power Systems Department, Federal University of Santa Maria–UFSM, Santa Maria 97105-900, Brazil
Leonardo Weber Stringini: Electromechanical and Power Systems Department, Federal University of Santa Maria–UFSM, Santa Maria 97105-900, Brazil
Camilo Alberto Sepulveda Rangel: Electromechanical and Power Systems Department, Federal University of Santa Maria–UFSM, Santa Maria 97105-900, Brazil
Luciane Neves Canha: Electromechanical and Power Systems Department, Federal University of Santa Maria–UFSM, Santa Maria 97105-900, Brazil
Energies, 2021, vol. 14, issue 11, 1-18
Abstract:
This paper proposes a battery voltage model that is suitable for variable operation. The model combines the features of the Kinetic Battery Model (KiBaM) and voltage model (VM), and it improves the accuracy and quality of the solution, addressing four characteristics of operation: charging, discharging, rest after charge, and rest after discharge. This model will be known as 4-KiVM and shows low impact on computational burden. The proposed model can keep track of the voltage even when the load is inverted or turned off. To calibrate and validate the model, a NASA-provided dataset was used composed of a battery with variable charges and discharges, simulating real applications. A metaheuristic method based on tabu search is used to extract constants from this dataset and validate this hybrid model. In addition, a comparison of performance of the 4-KiVM against KiBaM, VM, and the electric circuit model (ECM) was made, showing its advantages. The results of the simulations showed a good prediction of the battery voltage response and SOC prediction in random (variable) use.
Keywords: battery model; battery voltage model; KiBaM model; SOC prediction; variable load response; electric circuit model (ECM) (search for similar items in EconPapers)
JEL-codes: Q Q0 Q4 Q40 Q41 Q42 Q43 Q47 Q48 Q49 (search for similar items in EconPapers)
Date: 2021
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Citations: View citations in EconPapers (1)
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Persistent link: https://EconPapers.repec.org/RePEc:gam:jeners:v:14:y:2021:i:11:p:3209-:d:565895
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