MyJournals Home  

RSS FeedsEnergies, Vol. 15, Pages 5842: Lead–Acid Battery SOC Prediction Using Improved AdaBoost Algorithm (Energies)


11 august 2022 15:26:36

Energies, Vol. 15, Pages 5842: Lead–Acid Battery SOC Prediction Using Improved AdaBoost Algorithm (Energies)

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 extreme learning machine (OSELM) as its weak learning machine, this model can achieve incremental learning of the model, which has a high computational efficiency, and does not require repeated training of old samples. Through improvement of the AdaBoost algorithm, the local prediction accuracy of the algorithm for the sample is enhanced, the scores of the proposed model in the maximum absolute error (AEmax) and maximum absolute percent error (APEmax) indicators are 6.8% and 8.8% lower, and the accuracy of the model is further improved. According to the verification with experimental data, when there are a large number of prediction samples, the improved AdaBoost model can reduce the prediction accuracy indicators of mean absolute percent error (MAPE), mean absolute error (MAE), and mean square error (MSE) to 75.4%, 58.3, and 84.2%, respectively. Compared with various other prediction methods in the prediction accuracy of battery SOC, the prediction accuracy indicators MAE, MSE, MAPE, AEmax, and APEmax of the model proposed in this paper are all optimal, which proves the validity and adaptive ability of the model.

61 viewsCategory: Biophysics, Biotechnology, Physics
Energies, Vol. 15, Pages 5843: Running Dynamics of Rail Vehicles (Energies)
Energies, Vol. 15, Pages 5841: An Accurate Power Flow Method for Microgrids with Conventional Droop Control (Energies)
blog comments powered by Disqus
The latest issues of all your favorite science journals on one page


Register | Retrieve



Copyright © 2008 - 2022 Indigonet Services B.V.. Contact: Tim Hulsen. Read here our privacy notice.
Other websites of Indigonet Services B.V.: Nieuws Vacatures News Tweets Nachrichten