Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction

Lithium-ion battery state-of-charge estimation based on a dual extended Kalman filter and BPNN correction

It is challenging for a battery management system to estimate the State-Of-Charge (SOC) of batteries. A novel model-based method, using a Dual Extended Kalman Filtering algorithm (DEKF) and Back Propagation Neural Network (BPNN), is proposed to estimate and correct lithium-ion batteries. The results...

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Bibliographic Details
Main Authors: Likun Xing, Liuyi Ling, Xianyuan Wu
Format: Article
Language:English
Published: Taylor & Francis Group 2022-12-01
Series:Connection Science
Subjects:
state-of-charge
lithium-ion battery
neural network
state-of-charge correction
dual extended kalman filter
Online Access:http://dx.doi.org/10.1080/09540091.2022.2118675
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http://dx.doi.org/10.1080/09540091.2022.2118675

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