State of charge estimation for lithium‐ion battery pack based on real vehicle data and optimized backpropagation method by adaptive cross mutation sparrow search algorithm

State of charge estimation for lithium‐ion battery pack based on real vehicle data and optimized backpropagation method by adaptive cross mutation sparrow search algorithm

Abstract In response to the issues of traditional backpropagation (BP) neural networks in state of charge (SOC) estimation, including easy convergence to local optima, slow convergence speed, and low accuracy, this paper proposes a novel adaptive crossover mutation strategy and dynamic sparrow searc...

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Bibliographic Details
Main Authors: Juqiang Feng, Feng Cai, Long Wu, Xing Zhang, Kaifeng Huang
Format: Article
Language:English
Published: Wiley 2024-03-01
Series:Energy Science & Engineering
Subjects:
backpropagation neural network
cross‐mutation strategy
mining lithium‐ion batteries
sparrow search algorithm
state of charge
Online Access:https://doi.org/10.1002/ese3.1656

Internet

https://doi.org/10.1002/ese3.1656

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