Deep Transfer Ensemble Learning-Based Diagnostic of Lithium-Ion Battery

Dongxu Ji; Zhongbao Wei; Chenyang Tian; Haoran Cai; Junhua Zhao

doi:10.1109/JAS.2022.106001

Deep Transfer Ensemble Learning-Based Diagnostic of Lithium-Ion Battery

Dongxu Ji, Zhongbao Wei^*, Chenyang Tian, Haoran Cai, Junhua Zhao

^*Corresponding author for this work

School of Mechanical Engineering

The Chinese University of Hong Kong, Shenzhen

Research output: Contribution to journal › Letter › peer-review

4 Citations (Scopus)

Original language	English
Pages (from-to)	1899-1901
Number of pages	3
Journal	IEEE/CAA Journal of Automatica Sinica
Volume	10
Issue number	9
DOIs	https://doi.org/10.1109/JAS.2022.106001
Publication status	Published - 1 Sept 2023

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

Access to Document

10.1109/JAS.2022.106001

Cite this

@article{d7e89db0e9ad4cb0befa323e4f33bd7e,

title = "Deep Transfer Ensemble Learning-Based Diagnostic of Lithium-Ion Battery",

author = "Dongxu Ji and Zhongbao Wei and Chenyang Tian and Haoran Cai and Junhua Zhao",

year = "2023",

month = sep,

day = "1",

doi = "10.1109/JAS.2022.106001",

language = "English",

volume = "10",

pages = "1899--1901",

journal = "IEEE/CAA Journal of Automatica Sinica",

issn = "2329-9266",

publisher = "IEEE Advancing Technology for Humanity",

number = "9",

}

TY - JOUR

T1 - Deep Transfer Ensemble Learning-Based Diagnostic of Lithium-Ion Battery

AU - Ji, Dongxu

AU - Wei, Zhongbao

AU - Tian, Chenyang

AU - Cai, Haoran

AU - Zhao, Junhua

PY - 2023/9/1

Y1 - 2023/9/1

UR - http://www.scopus.com/inward/record.url?scp=85168786006&partnerID=8YFLogxK

U2 - 10.1109/JAS.2022.106001

DO - 10.1109/JAS.2022.106001

M3 - Letter

AN - SCOPUS:85168786006

SN - 2329-9266

VL - 10

SP - 1899

EP - 1901

JO - IEEE/CAA Journal of Automatica Sinica

JF - IEEE/CAA Journal of Automatica Sinica

IS - 9

ER -

Deep Transfer Ensemble Learning-Based Diagnostic of Lithium-Ion Battery

UN SDGs

Access to Document

Other files and links

Cite this