2024
DOI: 10.1002/est2.658
|View full text |Cite
|
Sign up to set email alerts
|

A study of different machine learning algorithms for state of charge estimation in lithium‐ion battery pack

Mangesh Maurya,
Shashank Gawade,
Neha Zope

Abstract: Forecasting the state of charge (SOC) using battery control systems is laborious because of their longevity and reliability. Since battery degradation is typically nonlinear, predicting SOC estimation with significantly less degradation is laborious. So, the estimation of SOC is an increasingly major problem in ensuring the effectiveness and safety of the battery. To overcome these issues in SOC estimation, we found many methods in the scientific literature, with differing degrees of precision and intricacy. T… Show more

Help me understand this report

Search citation statements

Order By: Relevance

Paper Sections

Select...

Citation Types

0
0
0

Publication Types

Select...

Relationship

0
0

Authors

Journals

citations
Cited by 0 publications
references
References 57 publications
0
0
0
Order By: Relevance

No citations

Set email alert for when this publication receives citations?