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author:

Wang, Ya-Xiong (Wang, Ya-Xiong.) [1] (Scholars:王亚雄) | Zhong, Hao (Zhong, Hao.) [2] | He, Hongwen (He, Hongwen.) [3]

Indexed by:

CPCI-S

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 %.

Keyword:

adaptive backstepping sliding-mode control balancing selection strategy Battery bidirectional boost converter state-of-charge (SOC) equalization

Community:

  • [ 1 ] [Wang, Ya-Xiong]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou, Peoples R China
  • [ 2 ] [Zhong, Hao]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou, Peoples R China
  • [ 3 ] [Wang, Ya-Xiong]Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing, Peoples R China
  • [ 4 ] [He, Hongwen]Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing, Peoples R China

Reprint 's Address:

  • 王亚雄

    [Wang, Ya-Xiong]Fuzhou Univ, Sch Mech Engn & Automat, Fuzhou, Peoples R China;;[Wang, Ya-Xiong]Beijing Inst Technol, Natl Engn Lab Elect Vehicles, Beijing, Peoples R China

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Source :

2019 IEEE VEHICLE POWER AND PROPULSION CONFERENCE (VPPC)

ISSN: 1938-8756

Year: 2019

Language: English

Cited Count:

WoS CC Cited Count: 2

SCOPUS Cited Count:

ESI Highly Cited Papers on the List: 0 Unfold All

WanFang Cited Count:

Chinese Cited Count:

30 Days PV: 3

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