Remaining Service Life Prediction of Lithium-Ion Batteries Based on Randomly Perturbed Traceless Particle Filtering

Remaining Service Life Prediction of Lithium-Ion Batteries Based on Randomly Perturbed Traceless Particle Filtering

To address the limitations in the prediction accuracy of the remaining useful life (RUL) of lithium-ion batteries, stemming from model accuracy, particle degradation, and insufficient diversity in the particle filter (PF) algorithm, this paper proposes a battery RUL prediction method utilizing a ran...

Full description

Bibliographic Details
Main Authors: Yan Liu, Jun Chen, Jun Yong, Cheng Yang, Liqin Yan, Yanping Zheng
Format: Article
Language:English
Published: MDPI AG 2024-11-01
Series:Energies
Subjects:
lithium-ion batteries
RUL
capacity degradation model
RVM
RP-UPF
Online Access:https://www.mdpi.com/1996-1073/17/21/5482

Internet

https://www.mdpi.com/1996-1073/17/21/5482

Similar Items