Dewi, Erika Ayu Nur Kumala (2023) Perancangan Sistem Estimasi State of Charge (SOC) untuk Memprediksi Periode Docking Baterai Lithium pada Kursi Roda Elektrik. Other thesis, Institut Teknologi Sepuluh Nopember.
![[thumbnail of 07311940000025-Undergraduate_Thesis.pdf]](http://repository.its.ac.id/style/images/fileicons/text.png) |
Text
07311940000025-Undergraduate_Thesis.pdf - Accepted Version Restricted to Repository staff only until 1 September 2025. Download (3MB) | Request a copy |
Abstract
Kursi roda elektrik menggunakan sumber energi utama baterai lithium ion. Energi yang terpakai pada setiap penggunaan kursi roda dapat berbeda tergantung lamanya penggunaan, berat badan pengguna, dan kondisi lintasan yang dilewati. Banyaknya variabel yang mempengaruhi kapasitas baterai menyebabkan pengguna kesulitan memprediksi periode docking baterai. Oleh karena itu penelitian ini bertujuan untuk merancang sistem estimasi State of Charge (SoC) guna memprediksi remaining time dan remaining distance baterai kursi roda. Secara keseluruhan, sistem ini terdiri dari sistem estimasi state of charge, sistem prediksi jarak dan kecepatan, serta sistem prediksi kemiringan lintasan. Estimasi State of Charge (SoC) baterai kursi roda elektrik dirancang menggunakan metode Coulomb Counting. Nilai SOC dinyatakan dalam rentang 0-100% dan ditampilkan secara realtime pada LCD. Sistem prediksi jarak dan kecepatan diperoleh dari nilai latitude-longitude yang diterima oleh GPS SIM808. Sistem prediksi sudut menggunakan MPU6050 untuk mengidentifikasi kemiringan lintasan yang dilewati kursi roda. Hasil penelitian menunjukkan bahwa kursi roda dapat beroperasi dengan baik pada SOC 100-25%. Total waktu sebelum baterai kursi roda memerlukan charging untuk penggunaan secara terus menerus adalah sekitar 170 menit atau 2,88 jam. Jarak total yang dapat ditempuh kursi roda dari kondisi baterai penuh sampai habis adalah sekitar 10071,22 m atau sekitar 10 km. Estimasi ini diberlakukan untuk penggunaan di lintasan datar dengan berat badan pengguna 50 kg. Pemakaian kursi roda secara terus menerus oleh pengguna dengan berat badan 85 kg hanya dapat menempuh waktu 110 menit atau sekitar 1,8 jam. Pemakaian kursi roda di lintasan naik-turun menyebabkan SOC mengalami penurunan lebih cepat dibandingkan dengan pemakaian di lintasan datar.
=================================================================================================================================
Electric wheelchairs use lithium-ion batteries as their main source of energy. The energy consumed during each wheelchair use can vary depending on the duration of use, the user's weight, and the conditions of the terrain. The numerous variables affecting battery capacity make it difficult for users to predict the battery docking period. Therefore, this study aims to design a State of Charge (SoC) estimation system to predict the remaining time and distance of the wheelchair battery. The overall system consists of the State of Charge estimation system, distance and speed prediction system, and path inclination prediction system. The estimation of the State of Charge (SoC) for the electric wheelchair battery is designed using the Coulomb Counting method. The SoC value is expressed in the range of 0-100% and displayed in real-time on an LCD. The distance and speed prediction system is obtained from the latitude-longitude values received by the GPS SIM808. The path inclination prediction system used MPU6050 to identify the inclination of the wheelchair's path. The research results show that the wheelchair is operated well at SOC levels from 100% to 25%. The total time before the wheelchair battery requires continuous charging is approximately 170 minutes or 2.88 hours. The total distance the wheelchair can travel from a full battery condition until it runs out is approximately 10071.22 meters or about 10 kilometers. These estimations are based on flat terrain use with a user weight of 50 kg. Continuous wheelchair usage by a user weighing 85 kg can only last for about 110 minutes or approximately 1.8 hours. Wheelchair usage on uphill and downhill terrain causes the SoC to decrease more rapidly compared to usage on flat terrain.
| Item Type: | Thesis (Other) |
|---|---|
| Uncontrolled Keywords: | Baterai, Coulomb Counting, Global Positioning System, Kursi Roda Elektrik, State of Charge, Battery, Coulomb Counting, Global Positioning System, Electrical Wheelchair |
| Subjects: | T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK1007 Electric power systems control T Technology > TK Electrical engineering. Electronics Nuclear engineering > TK2921 Lithium cells. T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL220 Electric vehicles and their batteries, etc. T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL798.N3 Global Positioning System. |
| Divisions: | Faculty of Electrical Technology > Biomedical Engineering > 11410-(S1) Undergraduate Thesis |
| Depositing User: | Erika Ayu Nur Kumala Dewi |
| Date Deposited: | 11 Sep 2023 01:26 |
| Last Modified: | 11 Sep 2023 01:26 |
| URI: | http://repository.its.ac.id/id/eprint/104276 |
Actions (login required)
 |
View Item |