Sistem Estimasi State of Charge Baterai Lithium-Ion Menggunakan Metode Unscented Kalman Filter Berbasis Raspberry Pi = Lithium-Ion Battery State of Charge Estimation System using Unscented Kalman Filter Based on Raspberry Pi

Estimasi SoC (State of Charge) baterai lithium Ion menggunakan extended kalman filter = Estimation of SoC (State of Charge) lithium ion batteries using extended kalman filter

Studi State of Charge pada Baterai Lithium-Ion dan Lithium-Polymer Menggunakan Metode Support Vector Machine dengan Particle Swarm Optimization = Study of State of Charge on Lithium-Ion and Lithium-Polymer Batteries Using Support Vector Machine Method with Particle Swarm Optimization

Perolehan kembali logam Li dari limbah baterai Li-ion dengan teknologi membran cair emulsi menggunakan cyanex 921 sebagai ekstraktan = Acquisition of Li metal from spent Li-ion battery with emulsion liquid membrane technology using cyanex 921 as extractant

Pengaruh kadar Sn pada sintesis Li4Ti5O12/Sn-Grafit menggunakan metode solid state untuk bahan anoda baterai ion litium = The effect of Sn content on the synthesis of Li4Ti5O12/Sn-graphite via solid state method for lithium ion battery anode material