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• W2079754385 abstract "This paper presents the modeling and estimation of state of charge (SoC) for Li-ion batteries using ANFIS architecture. The system consists of two phases of operation. The phase 1 is the SoC modeling process. The phase 2 is the real-time estimation process. Firstly, on the phase-1 operation, a brand-new Li-ion battery is used for a completely discharge cycle which consists of 355 cycles of discharge/charge command profile to collect the data of extracted charge, internal resistance, and no-load voltage for training the ANFIS. On the phase-2 operation, the trained parameters of the system are then used to construct the estimator by using MATLAB/SIMULINK. The estimator is then used for the estimation the SoC of a Li-ion battery under test by getting the data using only one cycle of the command profile. Finally, four Li-ion batteries are tested and the result shows the brand-new batteries have higher SoC value than the used batteries." @default.
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• W2079754385 date "2012-05-01" @default.
• W2079754385 modified "2023-09-27" @default.
• W2079754385 title "Modeling and estimation of state of charge for Lithium-Ion batteries using ANFIS architecture" @default.
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• W2079754385 doi "https://doi.org/10.1109/isie.2012.6237202" @default.
• W2079754385 hasPublicationYear "2012" @default.
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