| Makale Türü | Özgün Makale (SSCI, AHCI, SCI, SCI-Exp dergilerinde yayınlanan tam makale) | ||
| Dergi Adı | INTERNET OF THINGS (Q1) | ||
| Dergi ISSN | 2543-1536 Wos Dergi Scopus Dergi | ||
| Dergi Tarandığı Indeksler | SCI-Expanded | ||
| Makale Dili | İngilizce | Basım Tarihi | 01-2025 |
| Kabul Tarihi | 12-04-2026 | Yayınlanma Tarihi | – |
| Cilt / Sayı / Sayfa | 30 / 1 / 29–0 | DOI | 10.1016/j.iot.2025.101509 |
| Makale Linki | https://www.sciencedirect.com/science/article/abs/pii/S2542660525000228?via%3Dihub | ||
| Özet |
| Electronic dummy loads (EDLs) are essential for characterizing the discharge behavior of batteries and power supplies. Accurate battery performance monitoring is critical for applications ranging from renewable energy storage to electric vehicles. This study presents the design and implementation of an advanced, low-cost EDL integrated with Internet of Things (IoT) capabilities using Espressif Systems Platform (ESP) -based microcontrollers, specifically the NodeMCU or ESP32. The primary objective is to monitor lithium-ion battery packages' state of charge (SoC) and state of health (SoH). The designed system maintains a constant current during discharge, ensuring precise capacity measurement despite the decreasing voltage levels of batteries. This feature is essential for accurately determining the battery's capacity and health status. The integration with IoT networks significantly enhances the functionality of … |
| Anahtar Kelimeler |
| Batteries | Electronic dummy load | ESP-01 | ESP32 | Linear/ohmic mode | Lithium-ion | Lithium-polymer | Low-cost equipment | MOSFET | NodeMCU | Power supply test | SoH | state of charge | STM32 microcontroller | STM32F103C8T6 | Wi-Fi |
| Atıf Sayıları | |
| Google Scholar | 17 |
| Web of Science | 5 |
| Dergi Adı | Internet of Things |
| Yayıncı | Elsevier B.V. |
| Açık Erişim | Hayır |
| ISSN | 2543-1536 |
| E-ISSN | 2542-6605 |
| CiteScore | 12,1 |
| SJR | 1,642 |
| SNIP | 2,131 |