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 journalArticlepeer-review

1 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.

Engineering & Materials Science