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INOVASI SIMULATOR DAN ALAT UJI PERFORMA HYBRID STORAGE SYSTEM BATERAI DAN SUPERKAPASITOR Afrianda, Teguh; Diantoro, Markus; Harly, Muchammad; Nasikhudin, Nasikhudin; Mubarak, Bagja Rahmat; Aturroifah, Nuviya Illa Muthi
Transmisi: Jurnal Ilmiah Teknik Elektro Vol 27, No 2 April (2025): TRANSMISI: Jurnal Ilmiah Teknik Elektro
Publisher : Departemen Teknik Elektro, Universitas Diponegoro

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.14710/transmisi.27.2.77-82

Abstract

Penyimpanan energi merupakan komponen terpenting dalam sistem penggerak kendaraan listrik atau electric vehicles (EV). Hybrid storage system yang menggunakan baterai dan superkapasitor banyak digunakan karena dapat menghasilkan sistem penyimpanan energi listrik yang baik dengan kapasitas penyimpanan besar, kepadatan daya dan kepadatan energi tinggi, siklus charge-discharge cepat, dan cycle life panjang. Namun, pengaplikasian hybrid storage system pada kendaraan listrik memerlukan banyak komponen pendukung dan parameter kompleks yang digunakan untuk menciptakan sistem penyimpanan energi pada kendaraan listrik yang efektif. Sistem simulator diperlukan untuk memudahkan analisis dan investigasi kinerja perangkat penyimpanan energi pada teknologi kendaraan listrik. Pada penelitian ini, dilakukan inovasi pembuatan simulator dan alat uji coba performa gabungan baterai LiFePO4 dan superkapasitor berbasis kontroler dan motor BLDC, dengan memperhatikan pengaruh gaya gesek dan laju kecepatan yang menyerupai kondisi sebenarnya. Hasil uji coba menunjukkan bahwa motor BLDC bekerja lebih efisien pada revolutions per minute (rpm) tinggi, dimana daya yang dibutuhkan tidak lagi meningkat secara signifikan meskipun rpm bertambah. Penelitian diharapkan memberikan kontribusi terhadap pengembangan infrastruktur pendidikan dan penelitian di bidang kendaraan listrik di Indonesia.
Sistem Manajemen Energi Hibrida pada Sumber Energi Baterai-Superkapasitor Berbasis Automatic Switching Mubarak, Bagja Rahmat; Prihtiadi, Hafizh; Diantoro, Markus; Harly, Muchammad; Afrianda, Teguh
IJEIS (Indonesian Journal of Electronics and Instrumentation Systems) Vol 15, No 1 (2025): April
Publisher : IndoCEISS in colaboration with Universitas Gadjah Mada, Indonesia.

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.22146/ijeis.104195

Abstract

This research develops an automatic switching-based hybrid energy management system that integrates batteries and supercapacitors to improve power distribution efficiency in electric vehicles. The system is controlled by a microcontroller that monitors the current in real-time and activates the supercapacitor line when the current exceeds 10 A. The switching circuit uses IR2110 and IRFP4568 MOSFETs. Tests were conducted in three scenarios: battery only, hybrid without load, and hybrid with load. In the no-load condition, the supercapacitor produced a peak current of 18.23 A and an average of 5.73 A, while the battery recorded an average current of 8.52 A. In the loaded condition, the supercapacitor peak current reached 20.87 A, with an average of 10.82 A, while the battery was 11.95 A. The total energy increased from 55022.25 J (battery only) to 92000.76 J (no-load) and 147019.09 J (with load). The efficiency also increased from 1.0% to 2.4% in the hybrid configuration. The system showed a stable energy conversion efficiency of 95% under both hybrid conditions. These results prove that automatic integration of supercapacitors can improve system efficiency and performance without the complexity of control algorithms.
Design and Implementation of an IoT-Based Intravenous Infusion Monitoring System Using Wireless Sensor Network Afrianda, Teguh; Yulkifli, Yulkifli; Yohandri, Yohandri; Asman, Aulia
Applied Engineering, Innovation, and Technology Vol. 1 No. 2 (2024)
Publisher : MSD Institute

Show Abstract | Download Original | Original Source | Check in Google Scholar | DOI: 10.62777/aeit.v1i2.25

Abstract

This research presents a Wireless Sensor Network (WSN) based infusion monitoring system that utilizes Internet of Things (IoT) technology to enhance infusion management in healthcare. Manual supervision often lacks the necessary accuracy and control, making automated solutions crucial. Our system employs optocoupler and load cell sensors to calculate the infusion drop rate per minute and assess the remaining fluid percentage. Tests conducted demonstrated that optocoupler sensors effectively measured the drop rate, while load cell sensors accurately determined fluid levels. Measurement results are easily monitored via smartphone, granting healthcare professionals rapid access to vital data. A key innovation of this system is its ability to enable remote monitoring through WSN, allowing a single nurse to oversee multiple infusions with just one smartphone. The test results indicate impressive accuracy, achieving an average precision rate of 97% for drop rate measurements and 93% for remaining fluid percentage measurements. Overall, this system offers an efficient and controlled approach to infusion fluid management, ensuring optimal care for patients. By integrating IoT and WSN technologies, this research lays the groundwork for developing more advanced and interconnected infusion monitoring systems, ultimately enhancing patient care in today's globalized healthcare environment.