Optimal BP neural network algorithm for state of charge estimation of lithium-ion battery using PSO with Levy flight

Author:

Mao Xinjian,Song Shaojing,Ding Feng

Publisher

Elsevier BV

Subject

Electrical and Electronic Engineering,Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment

Reference20 articles.

1. Nonlinear observers for predicting state-of-charge and state-of-health of lead-acid batteries for hybrid-electric vehicles;Bhangu;IEEE Trans. Veh. Technol.,2005

2. Review of research on thermal runaway and safety management of lithium-ion power battery;Zhu;Chin. J. Mech. Eng.,2020

3. Revised ampere-hour integral real-time estimation method for SoC inflection point of lithium battery;Liu;Energy Storage Sci. Technol.,2019

4. Research on lithium battery SoC estimation based on improved Kalman filter;Pan;Comput. Simul.,2014

5. Open-circuit voltage-based state of charge estimation of lithium-ion battery using dual neural network fusion battery model;Dang;Electrochim. Acta,2015

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