Lestari, Ayu Nur (2023) Sistem Diagnostik Vehicle Control Unit (VCU) Pada Bus Listrik E-inobus Berbasis Internet Of Things (IoT) Di PT. INKA Persero Madiun. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
Pada sistem plant menggunakan baterai jenis Li-Po 3300 MAh akan dilakukan pengukuran atau monitoring untuk diketahui State Of Charge (SOC) kapasitas baterai dalam bentuk persentase dari baterai berupa nilai (%) dari proses full charge hingga discharge pada saat baterai digunakan dan State Of Health (SOH) kesehatan baterai dari plant ini menggunakan metode voltage. Sensor yang terdapat dalam plant ini menggunakan sensor tegangan, sensor arus dan sensor temperatur. Sensor tegangan pada plant ini menggunakan sensor voltage DC dengan range pengukuran 0 – 25V. Kemudian sensor arus pada plant ini menggunakan sensor arus jenis acs712 AC/DC dengan range pengukuran 0 – 5A serta sensor temperatur DS18B20 dengan range pengukuran -55°C - +125°C. Kemudian dilakukan validasi pada setiap sensor yang digunakan. Pada validasi sensor tegangan menghasilkan nilai koreksi error sebesar 2,74% dan tingkat keakuratan dengan nilai 97,02%. Validasi sensor arus menghasilkan pengukuran nilai koreksi error sebesar 0,56% dan tingkat keakuratan sebesar 99,44%. Kemudian pada sensor temperatur ds18b20 menghasilkan nilai koreksi error sebesar 4,74% dan tingkat keakuratan 95,26% yang mendekati sama dengan sensor ini baik dan sesuai dengan datasheet. Hasil pengujian sistem selama 16 jam pada plant baterai ini menunjukkan bahwa (SOC) dapat berjalan dan berhasil melakukan monitoring dari kondisi baterai full charge 98% sampai dengan kondisi 20% alarm warning system berbunyi. State Of Health (SOH) dalam plant baterai ini juga dapat memonitoring baterai sampai dengan suhu atau temperatur turun secara optimal mengikuti kondisi baterai.
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In the plant system, a Li-Po 3300 mAh battery is used, and measurements or monitoring are conducted to determine the State of Charge (SOC) of the battery's capacity in percentage form, representing the value (%) of the process from full charge to discharge when the battery is in use. The State of Health (SOH) of this battery plant is determined using the voltage method. The sensors employed in this plant include a voltage sensor, a current sensor, and a temperature sensor. The voltage sensor in this plant utilizes a DC voltage sensor with a measurement range of 0-25V. The current sensor in this plant employs an ACS712 AC/DC current sensor with a measurement range of 0-5A, while the temperature sensor is a DS18B20 with a measurement range of -55°C to +125°C. Validation is conducted for each sensor used. The voltage sensor validation yields a correction error value of 2.74% and an accuracy level of 97.02%. The current sensor validation results in a correction error measurement of 0.56% and an accuracy level of 99.44%. Additionally, the DS18B20 temperature sensor validation generates a correction error value of 4.74% and an accuracy level of 95.26%, which is close to the specifications provided in the datasheet, indicating that this sensor performs well and aligns with expectations. The testing results of the system over a 16-hour period in this battery plant demonstrate that the SOC can function and successfully monitor the battery's condition, starting from a full charge of 98% until the alarm warning system is triggered at 20% capacity. The State of Health (SOH) monitoring in this battery plant also effectively tracks the battery's temperature drop in accordance with the battery's condition.
Item Type: | Thesis (Other) |
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Uncontrolled Keywords: | Monitoring System, Electric Vehicle, Battery, Sistem Monitoring, Kendaraan Listrik, Baterai. |
Subjects: | Q Science > QA Mathematics > QA76.625 Internet programming. T Technology > TD Environmental technology. Sanitary engineering > TD890 Global Environmental Monitoring System T Technology > TL Motor vehicles. Aeronautics. Astronautics > TL220 Electric vehicles and their batteries, etc. |
Divisions: | Faculty of Vocational > Instrumentation Engineering |
Depositing User: | Ayu Nur Lestari |
Date Deposited: | 02 Aug 2023 03:38 |
Last Modified: | 02 Aug 2023 03:38 |
URI: | http://repository.its.ac.id/id/eprint/100628 |
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