SISTEM MONITORING KONDISI SEHAT (STATE OF HEALTH) BATERAI LiFePO₄ BERBASIS WEB DENGAN INTEGRASI DATA SUHU, ARUS, DAN TEGANGAN

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Abstract

The use of Lithium Iron Phosphate (LiFePO4) batteries demands accurate State of Health (SoH) monitoring to prevent premature degradation. Real-time monitoring of critical parameters is essential as a proactive effort in enhancing safety and optimizing lifespan. Therefore, this research aims to develop an integrated web-based monitoring system to facilitate comprehensive data supervision access for users. The method implements an ESP32 microcontroller as a data processor from a 0–25V voltage sensor, an ACS758 current sensor, and an MAX6675 temperature sensor. SoH estimation is calculated using the coulomb counting method through current integration over time to measure actual battery capacity. Test results indicate the web dashboard successfully displays interactive operational data with highly stable wireless transmission. The voltage sensor precisely records cycle variations, the ACS758 sensor excellently detects dynamic current flows, and the MAX6675 consistently detects cell temperature fluctuations. The coulomb counting algorithm smoothly records electrical charge accumulation, yielding SoH estimates that accurately represent the battery's physical condition. Overall, the hardware and software integration operates harmoniously as a highly effective battery performance maintenance solution.

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How to Cite

[1]
“SISTEM MONITORING KONDISI SEHAT (STATE OF HEALTH) BATERAI LiFePO₄ BERBASIS WEB DENGAN INTEGRASI DATA SUHU, ARUS, DAN TEGANGAN”, JTERA, vol. 11, no. 1, pp. 131–138, Jun. 2026, doi: 10.31544/jtera.v11.i1.2026.131-138.