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Author:

Wang Xiaofei (Wang Xiaofei.) | Sun Quan (Sun Quan.) | Kou Xiao (Kou Xiao.) | Ma Wentao (Ma Wentao.) | Zhang Hong (Zhang Hong.) | Liu Rui (Liu Rui.)

Abstract:

The state of charge (SOC) plays a crucial role in battery management system, which directly reflects the usage of the battery. Recently the extreme learning machine (ELM) model as a data-driven method has been utilized to estimate SOC due to its simple single hidden layer structure and fast learning...

Keyword:

Extreme learning machine Mixture generalized maximum correntropy criterion Non-Gaussian noise State of charge estimation

Author Community:

  • [ 1 ] School of Micoelectronics, Xi'an Jiaotong University, Xi'an, 710049, China
  • [ 2 ] School of Electrical and Engineering, Xi'an University of Technology, Xi'an, 710048, China
  • [ 3 ] Beijing Smart-Chip Microelectronics Technology Company, Ltd., Beijing, 100192, China

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Source :

Energy

Year: 2022

Issue: PD

Volume: 239

7 . 1 4 7

JCR@2020

ESI Discipline: ENGINEERING;

ESI HC Threshold:7

Cited Count:

WoS CC Cited Count:

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 2

Affiliated Colleges:

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