Work

Prediction of SOH Lithium-ion Battery using BILSTM-Positional Encoding Attention

Year: 2024

Type: conference-paper

Source: International Seminar on Research of Information Technology and Intelligent Systems (ISRITI)

DOI: 10.1109/isriti64779.2024.10963517

Authors: I Bagus Ngurah Alit Putra Wiryawan, Djati Handoko, Dian Premana, Nurlayla Amanah

Institution: University of Indonesia

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Affordable and clean energy

Open Access status: closed

Funders: Ministry of Finance, Lembaga Pengelola Dana Pendidikan

OpenAlex ID: W4409494764

FWCI:

Cites: 22

Cited by:

Related to: 10