Toggle Main Menu Toggle Search

Open Access padlockePrints

The Newcastle University research output collection, currently available on ePrints, will shortly be moving to a new open repository platform, Figshare. To prepare for the data migration we have paused adding new content to ePrints, and will resume once the new repository is launched. During this time you will continue to have access to ePrints (but no new content will appear). We will share updates here when available.

Review of Various Machine Learning Approaches for Predicting Parameters of Lithium-Ion Batteries in Electric Vehicles

Lookup NU author(s): Professor Cheng ChinORCiD

Downloads


Licence

This work is licensed under a Creative Commons Attribution 4.0 International License (CC BY 4.0).


Publication metadata

Author(s): Shan C, Chin CS, Mohan V, Zhang C

Publication type: Article

Publication status: Published

Journal: Batteries

Year: 2024

Volume: 10

Issue: 6

Pages:

Print publication date: 24/05/2024

Online publication date: 24/05/2024

Acceptance date: 22/05/2024

Date deposited: 12/06/2024

ISSN (print): 0141-9889

ISSN (electronic): 1467-9566

Publisher: MDPI

URL: https://doi.org/10.3390/batteries10060181

DOI: 10.3390/batteries10060181

Data Access Statement: No new data were created from this work.


Altmetrics

Altmetrics provided by Altmetric


Funding

Funder referenceFunder name
the China Scholarship Council [202105290005]

Share