Lead–Acid Battery SOC Prediction Using Improved AdaBoost Algorithm

Lead–Acid Battery SOC Prediction Using Improved AdaBoost Algorithm

Research on the state of charge (SOC) prediction of lead–acid batteries is of great importance to the use and management of batteries. Due to this reason, this paper proposes a method for predicting the SOC of lead–acid batteries based on the improved AdaBoost model. By using the online sequence ext...

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Bibliographic Details
Main Authors: Shuo Sun, Qianli Zhang, Junzhong Sun, Wei Cai, Zhiyong Zhou, Zhanlu Yang, Zongliang Wang
Format: Article
Language:English
Published: MDPI AG 2022-08-01
Series:Energies
Subjects:
lead–acid battery
state of charge (SOC)
AdaBoost algorithm
online sequence extreme learning machine (OSELM)
incremental learning
Online Access:https://www.mdpi.com/1996-1073/15/16/5842

Internet

https://www.mdpi.com/1996-1073/15/16/5842

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