Pardede, Jeremy Ronaldo (2026) Perancangan dan Implementasi BMS Modular Berbasis BMIC Nuvoton Untuk Battery Pack Kendaraan Listrik Riset STP Otomotif ITS. Other thesis, Institut Teknologi Sepuluh Nopember.
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Abstract
BMS komersial yang beredar saat ini umumnya bersifat black-box, membatasi akses data mentah dan menghambat pengembangan fitur diagnostik lanjutan pada baterai Lithium Iron Phosphate (LiFePO4) kendaraan listrik yang memiliki karakteristik kurva tegangan datar. Penelitian ini bertujuan merancang dan mengimplementasikan Battery Management System (BMS) modular berbasis Battery Monitoring IC (BMIC) Nuvoton KA49522A sebagai alternatif white-box dengan fungsionalitas setara BMS komersial. BMIC Nuvoton KA49522A diintegrasikan dengan mikrokontroler STM32F072RBT6 melalui antarmuka SPI untuk memantau 15 sel LiFePO4 secara seri. Estimasi State of Charge (SOC) menggunakan algoritma hibrida Coulomb Counting dengan kalibrasi Open Circuit Voltage (OCV) adaptif, dilengkapi mekanisme passive cell balancing berbasis resistor bleeding eksternal. Validasi dilakukan secara komparatif terhadap BMS komersial Daly Smart R24TM1A dan Jikong JK-BD6A24S10P, serta diuji langsung pada Simulator Motor Listrik EV 2.0 STP Otomotif ITS dengan pack20S6P LiFePO4 64 V 21,6 Ah. Hasil pengujian menunjukkan akurasi voltage sensing BMS Nuvoton menghasilkan RMSE 8,96 mV (Daly: 0,86 mV; Jikong: 1,63 mV), yang disebabkan oleh ketiadaan kalibrasi per-kanal ADC. Proteksi overvoltage dan undervoltage terverifikasi dengan overshoot mendekati nol. Siklus pengosongan 2 A menghasilkan kapasitas terkirim 13,18 Ah dalam 403 menit (SOC 100%→12%), mengkonfirmasi estimasi SOC dan proteksi UVP berfungsi benar. Pada implementasi simulator, BMS beroperasi stabil tanpa fault pada tiga profil beban dinamis (1 A, 1,5 A, 2,5 A). BMS berbasis Nuvoton KA49522A berhasil divalidasi sebagai alternatif mandiri berTKDN tinggi yang setara BMS komersial dalam aspek proteksi dan manajemen energi, dengan prioritas pengembangan lanjutan pada penyempurnaan desain PCB, peningkatan ke active balancing, dan pengembangan antarmuka pengguna.
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Commercial Battery Management Systems (BMS) are typically closed-source, restricting raw data access and hindering the development of advanced diagnostic features for Lithium Iron Phosphate (LiFePO4) batteries, which exhibit a characteristically flat discharge voltage curve. This study aims to design and implement a modular BMS based on the Nuvoton KA49522A Battery Monitoring IC (BMIC) as a white-box alternative with functionality equivalent to commercial BMS products. The Nuvoton KA49522A BMIC was integrated with an STM32F072RBT6 microcontroller via SPI to monitor 15 series-connected LiFePO4 cells. State of Charge (SOC) estimation employs a hybrid Coulomb Counting algorithm with adaptive Open Circuit Voltage (OCV) calibration, complemented by a passive cell balancing mechanism using external bleeding resistors. Performance was benchmarked against the Daly Smart R24TM1A and Jikong JK-BD6A24S10P commercial BMS units, and further validated through direct implementation on the EV 2.0 Electric Motor Simulator at STP Automotive ITS using a 20S6P LiFePO4 pack (64 V, 21.6 Ah). The Nuvoton BMS achieved a voltage sensing RMSE of 8.96 mV (Daly: 0.86 mV; Jikong: 1.63 mV), attributable to the absence of per-channel ADC calibration. Overvoltage and undervoltage protection functions were verified with near-zero overshoot. The 2 A discharge cycle delivered 13.18 Ah over 403 minutes from 100% to 12% SOC, confirming correct SOC estimation and UVP functionality. Simulator validation demonstrated stable BMS operation across three dynamic load profiles (1 A, 1.5 A, 2.5 A) with no fault events. The Nuvoton KA49522A-based BMS was validated as a functionally equivalent, high local-content (TKDN) alternative to commercial BMS products in both protection and energy management, with future development priorities identified in PCB design refinement, upgrade to active balancing, and user interface development.
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