A novel State of Charge and State of Health estimation technique for Lithium-ion cells using machine learning based Pseudo-Random Binary Sequence method

Muhammad Afnan Aziz Khan, Hassan Abdullah Khalid, Ramesh Balan, Bertan Bakkaloglu

Research output: Contribution to journal › Article › peer-review

2 Scopus citations

Fingerprint

Dive into the research topics of 'A novel State of Charge and State of Health estimation technique for Lithium-ion cells using machine learning based Pseudo-Random Binary Sequence method'. Together they form a unique fingerprint.

Material Science

Chemical Engineering

Keyphrases

Engineering