article · Journal of Energy Storage

State of health estimation of lithium-ion battery using dual adaptive unscented Kalman filter and Coulomb counting approach

H.M.A. Fahmy
Hany M. Hasanien
Haoran Ji
Ibrahim Alsaleh
Abdullah Alassaf

202449 citationsAin Shams University

In plain language

No abstract is available for this record, so no summary has been generated.

Research topics

Advanced Battery Technologies Research
Fault Detection and Control Systems
Industrial Automation and Control Systems

Sustainable Development Goals

Affordable and Clean Energy

Read the original research

This page summarises published work. The authoritative version sits with the publisher.

View on publisher site Record on OpenAlex

DOI: 10.1016/j.est.2024.111557

Is something wrong with this record? Report it or request removal.

Discussion

Discuss this research

Have you built on this work, tried to replicate it, or seen it applied in practice? Share what you know. Verified researchers and MARATTO™ domain experts can open a discussion, and any member can reply. Contributions are reviewed before they appear.

No discussion yet. Open the first thread.

New to MARATTO™? Create a free account.