Estimasi State Of Charge Secara Realtime Pada Baterai Lithium-Ion Menggunakan Long Short-Term Memory Berbasis Arduino Uno

Sandika, Vanny Ezha'an Nur (2023) Estimasi State Of Charge Secara Realtime Pada Baterai Lithium-Ion Menggunakan Long Short-Term Memory Berbasis Arduino Uno. Other thesis, Institut Teknologi Sepuluh Nopember.

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Abstract

Battery management system (BMS) memegang peranan penting pada electric vehicle (EV). State of Charge (SOC) merupakan salah satu parameter vital BMS yang menandakan jumlah muatan yang tersisa di dalam baterai. Estimasi SOC yang akurat mengantarkan pada umur baterai yang lama dan mencegah malapetaka yang disebabkan oleh baterai. Namun estimasi SOC merupakan proses yang kompleks karena bergantung pada bermacam macam faktor seperti umur baterai, suhu lingkungan dan banyak faktor lain. Dalam tugas akhir ini, pendekatan black-box model dipilih untuk mengestimasi SOC dengan informasi baterai yang terbatas tentang karakteristik internal dan reaksi kimia baterai. LSTM diajukan untuk menyelesaikan permasalahan ini.
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Battery management system (BMS) plays an important role in electric vehicles (EV). State of Charge (SOC) is one of the BMS vital parameters indicating the amount of charge remaining in the battery. Accurate SOC estimation leads to long battery life and prevents battery-caused havoc. However SOC estimation is a complex process as it depends on various factors such as battery age, ambient temperature and many other factors. In this final project, a black-box model approach is chosen to estimate SOC with limited battery information about the internal characteristics and chemical reactions of the battery. LSTM was proposed to solve this problem.

Item Type:	Thesis (Other)
Uncontrolled Keywords:	BMS, Electric Vehicle, LSTM, Lithium-Ion Battery, State of Charge, BMS, Electric Vehicle, LSTM, Lithium-Ion Battery, State of Charge.
Subjects:	T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2941 Storage batteries
Divisions:	Faculty of Intelligent Electrical and Informatics Technology (ELECTICS) > Electrical Engineering > 20201-(S1) Undergraduate Thesis
Depositing User:	Vanny Ezha'an Nur Sandika
Date Deposited:	21 Jul 2023 03:34
Last Modified:	21 Jul 2023 03:34
URI:	http://repository.its.ac.id/id/eprint/98785

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