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All Journal ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika INTEK: Jurnal Penelitian Budimas : Jurnal Pengabdian Masyarakat JAREE (Journal on Advanced Research in Electrical Engineering)
Yanaratri, Diah Septi
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Estimasi SOC Saat Discharging pada Baterai VRLA Berbasis Elman Backpropagation YANARATRI, DIAH SEPTI; SUTEDJO, SUTEDJO; FIRMANSYAH, ACHMAD DICKY; IRIANTO, IRIANTO; RAKHMAWATI, RENNY; ADILA, AHMAD FIRYAL
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 12, No 4: Published October 2024
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v12i4.862

Abstract

ABSTRAKPenurunan performa baterai terjadi akibat siklus pengisian dan pengosongan berulang yang melebihi batas, mempercepat degradasi. Penelitian ini bertujuan untuk meningkatkan akurasi estimasi State of Charge (SOC) baterai menggunakan Artificial Neural Network (ANN) dengan algoritma Elman Backpropagation. Metode digunakan karena menambahkan lapisan context neuron yang mampu menangkap pola dinamis pada data baterai. Pengujian dilakukan dengan membandingkan hasil estimasi SOC dari metode ini dengan metode Coulomb Counting. SOC baterai diestimasi dari 100% hingga 60%, dan hasil menunjukkan bahwa meskipun Coulomb Counting awalnya memberikan SOC lebih tinggi, estimasi dari kedua metode menjadi lebih mirip seiring waktu. Error estimasi berkisar antara 0,1% hingga 14,7%. Algoritma Elman Backpropagation terbukti mampu memberikan estimasi SOC yang lebih akurat, namun masih memerlukan kalibrasi lebih lanjut untuk meningkatkan presisi.Kata kunci: Artificial Neural Network, Baterai, Coulumb Counting, Elman Backpropagation, State of Charge. ABSTRACTThe decline in battery performance occurs due to repeated charge and discharge cycles that exceed limits, accelerating degradation. This study aimed to improve the accuracy of State of Charge (SOC) estimation using an Artificial Neural Network (ANN) with the Elman Backpropagation algorithm. The method used was unique in adding a context neuron layer capable of capturing dynamic patterns in battery data. Testing was conducted by comparing SOC estimates from this method with the Coulomb Counting method. The battery's SOC was estimated from 100% to 60%, and the results showed that although Coulomb Counting initially provided higher SOC estimates, the estimates from both methods became more similar over time. Estimation errors ranged from 0.1% to 14.7%. The Elman Backpropagation algorithm proved to provide more accurate SOC estimates, although further calibration is needed to improve precision.Keywords: Artificial Neural Network, Battery, Coulumb Counting, Elman Backpropagation, State of Charge.
Estimasi State of Charge pada Baterai Lead Acid menggunakan Elman Recurrent Neural Network RAKHMAWATI, RENNY; SUTEDJO, SUTEDJO; OKTAVIANI, FITROTIN NAFISA; IRIANTO, IRIANTO; YANARATRI, DIAH SEPTI; ADILA, AHMAD FIRYAL
ELKOMIKA: Jurnal Teknik Energi Elektrik, Teknik Telekomunikasi, & Teknik Elektronika Vol 11, No 4: Published October 2023
Publisher : Institut Teknologi Nasional, Bandung

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.26760/elkomika.v11i4.864

Abstract

ABSTRAKPenggunaan panel surya sebagai sumber energi terbarukan membutuhkan baterai sebagai tempat penyimpanan energi. Penggunaan baterai secara terus menerus, dapat menyebabkan pengurangan kapasitas dan penurunan performa. Untuk mengatasi permasalahan tersebut, diperlukan sistem estimasi nilai State of Charge (SOC) pada baterai yang berfungsi untuk mengontrol kondisi charge, agar performa baterai tetap optimal. Pada penelitian dikembangan suatu sistem estimasi SOC pada baterai jenis lead acid, dengan metode algoritma Elman Recurrent Neural Network (ERNN). Keunggulan yang terkait dengan metode ERNN meliputi proses iterasi menjadi lebih cepat, peningkatan kecepatan pembaruan parameter, dan pencapaian konvergensi yang lebih cepat. Hasil dari penelitian estimasi SOC pada baterai lead acid 12V, 12Ah dengan menggunakan algoritma ERNN sebesar 0.101% sedangkan dengan algoritma Feedforward Backpropagation sebesar 0.767%. Sehingga dapat disimpulkan bahwa algoritma ERNN lebih efisien dalam mengestimasi nilai SOC pada baterai lead acid.Kata kunci: Baterai, Elman Recurrent Neural Network, Panel Surya, State of Charge; Lead Acid ABSTRACTUsing solar panels as a renewable energy source requires batteries as energy storage. Continuous use of batteries can result in reduced capacity and performance degradation. Based on these problems, a State of Charge (SOC) estimation system is needed for the battery to control charge conditions so that battery performance remains optimal. In this research, a SOC estimation system was developed for lead acid battery using the Elman Recurrent Neural Network (ERNN) algorithm. The advantage of the ERNN method is that the iteration process is faster, the parameter update speed is increased, and convergence is faster. The results of the SOC estimation for a 12V, 12Ah lead acid battery using the ERNN algorithm were 0.101%, while the Feedforward Backpropagation algorithm resulted in 0.767%. The ERNN algorithm is more efficient in estimating the SOC value of a lead acid battery.Keywords: Battery, Elman Recurrent Neural Network, Solar Panel, State of Charge, Lead Acid
Pembinaan Manajerial Pengeluaran dan Pemasukan Pengurus BUMDes, Kelompok Tani dan Ibu-ibu PKK Desa Carangwulung Sudiharto, Indhana; Yanaratri, Diah Septi; Raharja, Lucky Pradigta Setiya; Eviningsih, Rachma Prilian; Rakhmawati, Renny; Adila, Ahmad Firyal; Mahendra, Luki Septya; Nugroho, Mochammad Ari Bagus; Habibi, Muhammad Nizar; Rusli, Muhammad Rizani; Hartono, Helleina Rejeki Putri
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol 6, No 3 (2024): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v6i3.15370

Abstract

Kemampuan pengelolaan atau manajerial pemasukan dan pengeluaran sangatlah penting. Khususnya pengelolaan dalam suatu desa untuk keberlangsungan desa tersebut agar tidak tertinggal oleh daerah perkotaan. Khususnya Desa Carangwulung, Kecamatan Wonosalam, Kabupaten Jombang yang menjadi salah satu tempat pengembangan kawasan agropolitan di provinsi Jawa Timur. Sehingga dalam rangka mendorong dan mengoptimalkan potensi ekonomi Desa Carangwulung, pengabdian ini melakukan aktivitas pembinaan manajerial pengeluaran dan pemasukan untuk pengurus Badan Usaha Milik Desa (BUMDes), Kelompok Tani serta Ibu-ibu Pemberdayaan dan Kesejahteraan Keluarga (PKK). Rangkaian kegiatan ini bertujuan untuk memberikan pemahaman, keterampilan, serta motivasi dalam mengelola bisnis mereka dengan efektif dan mengoptimalkan potensi ekonomi desa melalui pemateri dari ahli dalam bidang tersebut. Sehingga peserta dapat menggunakan pengetahuan dan pengalaman yang diperoleh untuk meningkatkan kinerja bisnis, serta memperluas jaringan kontak mereka dengan para ahli.
Design Battery Charger With CC-CV Method for Series Connected Lithium-Ion Batteries Using Fuzzy Logic Controller Sutedjo, Sutedjo; Rakhmawati, Renny; Putih, Bening Putri Permata; Adila, Ahmad Firyal; Irianto, Irianto; Yanaratri, Diah Septi
JAREE (Journal on Advanced Research in Electrical Engineering) Vol 9, No 1 (2025): January
Publisher : Department of Electrical Engineering ITS and FORTEI

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.12962/jaree.v9i1.389

Abstract

Considering the many human needs, the existence of solar energy is considered very appropriate to help meet the energy needs consumed by humans. All the energy produced by solar panels can be stored using batteries which can then be converted into electrical energy. The battery will work when the energy stored in the battery is fulfilled, but if the use of the battery is carried out continuously it causes the energy in the battery to run out, so that the battery energy must be recharged immediately so that it can still be used again. charging which is used to recharge battery energy at this time unfortunately it still takes quite a long time to be recharged. Through the description of the problem, so that in study this is a tool fast charging use buck converter by using the method (Constant Current) CC-CV (Constant Voltage) on a Lithium-Ion battery. Buck converter This is necessary because the source used in this study is a solar panel which produces a very high voltage, so the voltage needs to be lowered by using buck converter. Using a 11.1V / 2.2 Ah LithiumIon battery. To keep the current and voltage constant, the charging process is carried out charging this current and voltage the output will be stabilized by Fuzzy Logic Controller (FLC). From the simulation results that have been carried out, it appears that the FLC has been able to stabilize the charging current of 2.2Ah and 11.1V.
Pembinaan Manajerial Pengeluaran dan Pemasukan Pengurus BUMDes, Kelompok Tani dan Ibu-ibu PKK Desa Carangwulung Sudiharto, Indhana; Yanaratri, Diah Septi; Raharja, Lucky Pradigta Setiya; Eviningsih, Rachma Prilian; Rakhmawati, Renny; Adila, Ahmad Firyal; Mahendra, Luki Septya; Nugroho, Mochammad Ari Bagus; Habibi, Muhammad Nizar; Rusli, Muhammad Rizani; Hartono, Helleina Rejeki Putri
BUDIMAS : JURNAL PENGABDIAN MASYARAKAT Vol. 6 No. 3 (2024): BUDIMAS : Jurnal Pengabdian Masyarakat
Publisher : LPPM ITB AAS Indonesia Surakarta

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.29040/budimas.v6i3.15370

Abstract

Kemampuan pengelolaan atau manajerial pemasukan dan pengeluaran sangatlah penting. Khususnya pengelolaan dalam suatu desa untuk keberlangsungan desa tersebut agar tidak tertinggal oleh daerah perkotaan. Khususnya Desa Carangwulung, Kecamatan Wonosalam, Kabupaten Jombang yang menjadi salah satu tempat pengembangan kawasan agropolitan di provinsi Jawa Timur. Sehingga dalam rangka mendorong dan mengoptimalkan potensi ekonomi Desa Carangwulung, pengabdian ini melakukan aktivitas pembinaan manajerial pengeluaran dan pemasukan untuk pengurus Badan Usaha Milik Desa (BUMDes), Kelompok Tani serta Ibu-ibu Pemberdayaan dan Kesejahteraan Keluarga (PKK). Rangkaian kegiatan ini bertujuan untuk memberikan pemahaman, keterampilan, serta motivasi dalam mengelola bisnis mereka dengan efektif dan mengoptimalkan potensi ekonomi desa melalui pemateri dari ahli dalam bidang tersebut. Sehingga peserta dapat menggunakan pengetahuan dan pengalaman yang diperoleh untuk meningkatkan kinerja bisnis, serta memperluas jaringan kontak mereka dengan para ahli.
Comparison Of FLC And ANFIS Method To Keep Constant Voltage Based On Flyback Converter Nismayanti, Nila Nanda; Sudiharto, Indhana; Yanaratri, Diah Septi
INTEK: Jurnal Penelitian Vol 9 No 1 (2022): April 2022
Publisher : Politeknik Negeri Ujung Pandang

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.31963/intek.v9i1.3340

Abstract

The development of tecnology suggest humans to always create certain types of renewable inovation, which are usefull for public facilities. Especially in information technology we always need to do the things like work, school and etc using gadget. To reduce various kind of problems on battery health, needs an inovation about charger station in public places. This charger station has a single input single output system so that using just 1 battery source can be used for charging. To realize this charging system, a flyback converter that is capable of working with single input single output is used, which is of course controlled by the Adaptive Neuro Fuzzy Inference System (Anfis) so that the resulting output voltage remains constant, which is 19 V
Co-Authors Ahmad Firyal Adila FIRMANSYAH, ACHMAD DICKY Habibi, Muhammad Nizar Hartono, Helleina Rejeki Putri Indhana Sudiharto Irianto Irianto Lucky Pradigta Setiya Raharja Luki Septya Mahendra Nismayanti, Nila Nanda Nugroho, Mochammad Ari Bagus Oktaviani, Fitrotin Nafisa Putih, Bening Putri Permata Rachma Prilian Eviningsih, Rachma Prilian Rakhmawati, Renny Rusli, Muhammad Rizani Sutedjo Sutedjo