Log in to save to my catalogue

Evaluation of battery modules state for electric vehicle using artificial neural network and experim...

Evaluation of battery modules state for electric vehicle using artificial neural network and experim...

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2122249955

Evaluation of battery modules state for electric vehicle using artificial neural network and experimental validation

About this item

Full title

Evaluation of battery modules state for electric vehicle using artificial neural network and experimental validation

Publisher

London: John Wiley & Sons, Inc

Journal title

Energy science & engineering, 2018-10, Vol.6 (5), p.397-407

Language

English

Formats

Publication information

Publisher

London: John Wiley & Sons, Inc

More information

Scope and Contents

Contents

This work undertakes research problem on prediction of state of battery modules used in electric vehicle. Past studies focussed extensively on the estimation of state of charge and state of health of a single cell/battery. However, the focus on the estimation of state of entire battery module is hardly studied. During the actual operation of electr...

Alternative Titles

Full title

Evaluation of battery modules state for electric vehicle using artificial neural network and experimental validation

Authors, Artists and Contributors

Identifiers

Primary Identifiers

Record Identifier

TN_cdi_proquest_journals_2122249955

Permalink

https://devfeature-collection.sl.nsw.gov.au/record/TN_cdi_proquest_journals_2122249955

Other Identifiers

ISSN

2050-0505

E-ISSN

2050-0505

DOI

10.1002/ese3.214

How to access this item