Fault identification-based state of charge estimation in lithium ion batteries using Phi-hy-ResNet and SR-KF-ArRsi-ANN

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

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Publication Details

Journal
International Journal of Power Electronics
Published
2026-06-09
DOI
https://doi.org/10.1504/ijpelec.2027.10079065
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
0.00
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article

Fault identification-based state of charge estimation in lithium ion batteries using Phi-hy-ResNet and SR-KF-ArRsi-ANN

Neeta Doshi, Puja Suresh Deokate
International Journal of Power Electronics
Advanced Battery Technologies Research
article

Fault identification-based state of charge estimation in lithium ion batteries using Phi-hy-ResNet and SR-KF-ArRsi-ANN

Neeta Doshi, Puja Suresh Deokate
article en

Abstract

Inderscience is a global company, a dynamic leading independent journal publisher disseminates the latest research across the broad fields of science, engineering and technology; management, public and business administration; environment, ecological economics and sustainable development; computing, ICT and internet/web services, and related areas.

International Journal of Power ElectronicsVol. 1(1)
Openalex Percentile: Top 10%
Advanced Battery Technologies Research
DOISourceOpenAlex
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Fault identification-based state of charge estimation in lithium ion batteries using Phi-hy-ResNet and SR-KF-ArRsi-ANN — Neeta Doshi, Puja Suresh Deokate · International Journal of Power Electronics (2026) | TGRS Research Map | TGRS