Intelligent Li-ion Battery Management System

被引:0
|
作者
Zafar, Muhammad Sarib [1 ]
Nisar, Muhammad Abdullah [1 ]
Wahid, Abdullah [1 ]
Zaffar, Nauman Ahmad [1 ]
机构
[1] Lahore Univ Management Sci LUMS, Dept Elect Engn, Lahore, Pakistan
关键词
Battery Management System (BMS); State of Health (SoH); State of Charge (SoC); Cell Balancing; Protection; Isolated Converter; cell-to-pack;
D O I
10.1109/COMPEL57542.2024.10614048
中图分类号
TM [电工技术]; TN [电子技术、通信技术];
学科分类号
0808 ; 0809 ;
摘要
This paper explores a new topology for Power Electronics converters utilized in an Intelligent Lithium-Ion Battery Management System (BMS) with the possibility of minimizing most of the common challenges in current BMS topologies. The core functionality in a BMS includes balancing, protection and monitoring of cells to calculate battery performance parameters (such as SoH and SoC). Our topology, in addition, helps design scalable, modular pack structures which allow aggregation without the need of matched SoH of other modules. In addition, the flexibility of setting the interface characteristics of the pack through the BMS allows the same physical configurations to be used in the rendering of different terminal voltages. This is achieved by using a single parallel string of cells and using a high voltage conversion ratio topology for energy provisioning that has been tested for a terminal voltage range of 12V to 96V. To increase the capacity, multiple packs can be used in parallel simultaneously. Moreover, our proposed algorithm enables energy extraction from each pack that is proportional to the health of the pack. This overall arrangement not only protects each module from over discharge, overcharge, overcurrent, and short circuit but also makes the overall pack independent from the requirement of matching the modules that make up the battery packs. For proof of concept, detailed analysis, design, simulation and fabrication of the proposed architecture was done and the results were validated on Lithium Ion cells to create modules and the modules to create the pack.
引用
收藏
页数:7
相关论文
共 50 条
  • [31] State of charge estimation for Li-ion battery based intelligent algorithms
    Aicha Degla
    Madjid Chikh
    Mahdi Mzir
    Youcef Belabed
    Electrical Engineering, 2023, 105 : 1179 - 1197
  • [32] Testing System Design of Individual Li-ion battery
    Yuan Hui-Mei
    Tang Zi-Jian
    PROCEEDINGS OF THE 2015 10TH IEEE CONFERENCE ON INDUSTRIAL ELECTRONICS AND APPLICATIONS, 2015, : 1671 - 1674
  • [33] A perspective on the Li-ion battery
    John B. Goodenough
    Hongcai Gao
    Science China Chemistry, 2019, 62 : 1555 - 1556
  • [34] Li-ion battery electrolytes
    Xu, Kang
    NATURE ENERGY, 2021, 6 (07) : 763 - 763
  • [35] A perspective on the Li-ion battery
    John B.Goodenough
    Hongcai Gao
    Science China(Chemistry), 2019, 62 (12) : 1555 - 1556
  • [36] A perspective on the Li-ion battery
    John B.Goodenough
    Hongcai Gao
    Science China(Chemistry), 2019, (12) : 1555 - 1556
  • [37] A perspective on the Li-ion battery
    Goodenough, John B.
    Gao, Hongcai
    SCIENCE CHINA-CHEMISTRY, 2019, 62 (12) : 1555 - 1556
  • [38] Graphene/Li-ion battery
    Kheirabadi, Narjes
    Shafiekhani, Azizollah
    JOURNAL OF APPLIED PHYSICS, 2012, 112 (12)
  • [39] Li-ion battery electrolytes
    Kang Xu
    Nature Energy, 2021, 6 : 763 - 763
  • [40] Battery management system with active inrush current control for Li-ion battery in light electric vehicles
    Fuengwarodsakul, Nisai H.
    ELECTRICAL ENGINEERING, 2016, 98 (01) : 17 - 27