Work

Advanced Remaining Useful Life of Lithium-Ion Batteries Prediction with Positive and Negative Perceptron and Convolution Neural Network

Year: 2024

Type: conference-paper

Source: International Conference on System Reliability and Safety (ICSRS)

DOI: 10.1109/icsrs63046.2024.10927454

Authors: Gwiman Bak, Eunseo Lee, Eunseong Lee, Yonghyeon Kim, Sang-Yong Rhee, Youngchul Bae

Institutions: Chonnam National University, Kyungnam University

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDGs: Affordable and clean energy, Industry, innovation and infrastructure

Open Access status: closed

Funder: National Research Foundation of Korea

OpenAlex ID: W4409013550

FWCI: 0.56

Cites: 22

Cited by: 1

Related to: 10