Energy Storage Science and Technology ›› 2022, Vol. 11 ›› Issue (8): 2442-2451.doi: 10.19799/j.cnki.2095-4239.2022.0282

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Intrinsic safety mechanism and case analysis of energy storage systems based on dynamically reconfigurable battery network

Congjia ZHANG1(), Minda SHI2, Chen XU3, Zhenyu HUANG2, Song CI1()   

  1. 1.Department of Electrical Engineering, Tsinghua University, Beijing 100084, China
    2.State Grid Jiaxing Electric Power Supply Company
    3.Jiaxing Hengchuang Power Group Co. , Ltd. , Jiaxing 314000, Zhejiang, China
  • Received:2022-05-24 Revised:2022-06-15 Online:2022-08-05 Published:2022-08-03
  • Contact: Song CI E-mail:cjz@hust.edu.cn;sci@tsinghua.edu.cn

Abstract:

With the rapid advancement of electrochemical energy storage technology, intrinsic safety concerns about energy storage systems have emerged. Nonetheless, the "short board effect" of the battery system caused by the mismatch of inherent differences in battery cells and the traditional fixed series parallel grouping method is the primary reason for the current electrochemical energy storage system's safety and economic problems. Recently, digital energy storage systems based on dynamically reconfigurable battery network (DRBN) have received extensive attention. By deeply coupling low-power semiconductor devices to the batteries, DRBN transforms the battery from an electrochemical reaction device to a new type of digital device and eliminates the thermal accumulation and thermal runaway problems caused by overcharge and overdischarge in principle by reconfiguring the topology of the physical connection of the battery in milliseconds, achieving intrinsic safety at the battery system level. Furthermore, DRBN can quickly diagnose and remove faulty batteries and keep the electrochemical energy storage system running, which greatly improves the availability and reliability of the system. This paper explains the intrinsic safety mechanism of digital energy storage systems in the online diagnosis of sudden faults and rapid automatic isolation of suspected faults using an actual engineering case study, paving a new path for the safety and economy of electrochemical energy storage systems.

Key words: dynamically reconfigurable battery network, digital energy storage system, intrinsically safe, online fault detection, automatic fault isolation

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