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author:

Wang, Y.-X. (Wang, Y.-X..) [1] | Zhong, H. (Zhong, H..) [2] | He, H. (He, H..) [3]

Indexed by:

Scopus

Abstract:

In this study, a new bidirectional boost converter- based battery state-of-charge (SOC) active equalization system via an adaptive backstepping sliding-mode control-based balancing strategy is proposed. The system configuration and modeling are developed by analyzing the equivalent circuits of the battery and bidirectional boost converter. An adaptive backstepping sliding-mode control with the balancing selection strategy is subsequently applied to implement the regulated charging and discharging of battery cells, which possesses the capability in addition to against the external disturbance as well as parameters variation. Finally, a comparative simulation for battery cells' equalization according to the same balancing strategy between the proposed bidirectional boost converter-based system and the typical top-down equalization scheme is carried out, and the results indicate that the proposed system can shorten the equalization time about 9.8 %. © 2019 IEEE.

Keyword:

Adaptive backstepping slidingmode control; Balancing selection strategy; Battery; Bidirectional boost converter; State-of-charge (SOC) equalization

Community:

  • [ 1 ] [Wang, Y.-X.]School of Mechnical Engineering and, Automation, Fuzhou University, Fuzhou, China
  • [ 2 ] [Wang, Y.-X.]National Engineering Laboratory for, Electric Vehicles, Beijing Institute of Technology, Beijing, China
  • [ 3 ] [Zhong, H.]School of Mechnical Engineering and, Automation, Fuzhou University, Fuzhou, China
  • [ 4 ] [He, H.]National Engineering Laboratory for, Electric Vehicles, Beijing Institute of Technology, Beijing, China

Reprint 's Address:

  • [He, H.]National Engineering Laboratory for, Electric Vehicles, Beijing Institute of TechnologyChina

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Source :

2019 IEEE Vehicle Power and Propulsion Conference, VPPC 2019 - Proceedings

Year: 2019

Language: English

Cited Count:

WoS CC Cited Count: 0

SCOPUS Cited Count: 4

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 4

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