Work

Probabilistic State of Health and Remaining Useful Life Prediction for Li-Ion Batteries

Year: 2022

Type: article

Source: IEEE Transactions on Industry Applications

DOI: 10.1109/tia.2022.3210081

Authors: Antonio Bracale, Pasquale De Falco, Luigi Pio Di Noia, Renato Rizzo

Institutions: Parthenope University of Naples, University of Naples Federico II

Language: English

Topic: Advanced Battery Technologies Research

Subfield: Automotive Engineering

Field: Engineering

Domain: Physical Sciences

SDG: Industry, innovation and infrastructure

Open Access status: closed

OpenAlex ID: W4312909203

FWCI: 2.358

Cites: 35

Cited by: 50

Related to: 10