Estimation of Battery State-of-Charge using Feedforward Neural Networks

Omer Ali

doi:10.1109/ecti-con54298.2022.9795401

Estimation of Battery State-of-Charge using Feedforward Neural Networks

Research output: Chapter in Book/Report/Conference proceeding › Conference contribution › peer-review

5 Citations (Scopus)

Original language	English
Title of host publication	2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)
DOIs	https://doi.org/10.1109/ecti-con54298.2022.9795401
Publication status	Published - 24 May 2022

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10.1109/ecti-con54298.2022.9795401

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@inproceedings{5fbe2ca440f64021b06626d35a1202ac,

title = "Estimation of Battery State-of-Charge using Feedforward Neural Networks",

author = "Omer Ali",

year = "2022",

month = may,

day = "24",

doi = "10.1109/ecti-con54298.2022.9795401",

language = "English",

booktitle = "2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)",

}

TY - GEN

T1 - Estimation of Battery State-of-Charge using Feedforward Neural Networks

AU - Ali, Omer

PY - 2022/5/24

Y1 - 2022/5/24

UR - http://dx.doi.org/10.1109/ecti-con54298.2022.9795401

U2 - 10.1109/ecti-con54298.2022.9795401

DO - 10.1109/ecti-con54298.2022.9795401

M3 - Conference contribution

BT - 2022 19th International Conference on Electrical Engineering/Electronics, Computer, Telecommunications and Information Technology (ECTI-CON)

ER -

Estimation of Battery State-of-Charge using Feedforward Neural Networks

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