HIGHLIGHTS
- who: Lithium-Ion Batteries et al. from the Department of Unmanned Vehicle Engineering, Sejong University, Seoul, Republic of Korea have published the research: A Hybrid Data-Driven Approach for Multistep Ahead Prediction of State of Health and Remaining Useful Life of Lithium-Ion Batteries, in the Journal: Computational Intelligence and Neuroscience 1-step ahead prediction of 13/06/2022
- what: In this paper a novel multistep ahead predictor based upon a fusion of kernel recursive least square (KRLS) and Gaussian process regression (GPR) is proposed for the accurate prediction of the state of health (SoH . . .
If you want to have access to all the content you need to log in!
Thanks :)
If you don't have an account, you can create one here.