A Comprehensive Review of Research Hotspots on Battery Management Systems for UAVs

被引:9
|
作者
Jiao, Shiqin [1 ]
Zhang, Guiyang [1 ]
Zhou, Mei [2 ]
Li, Guoqi [1 ]
机构
[1] Beihang Univ, Sch Reliabil & Syst Engn, Sci & Technol Reliabil & Environm Engn Lab, Beijing 100191, Peoples R China
[2] China Agr Univ, Dept Appl Phys, Beijing 100083, Peoples R China
关键词
Battery management systems; UAVs; charging and discharging control; battery state estimation; fault diagnosis; battery safety; LITHIUM-ION BATTERY; UNMANNED AERIAL VEHICLES; ENERGY MANAGEMENT; HEALTH MANAGEMENT; ELECTRIC VEHICLES; CHARGE ESTIMATION; KALMAN FILTER; STATE; OPTIMIZATION; CONTROLLER;
D O I
10.1109/ACCESS.2023.3301989
中图分类号
TP [自动化技术、计算机技术];
学科分类号
0812 ;
摘要
Battery-powered unmanned aerial vehicles (UAVs), also known as drones, have emerged as the primary choice in the UAV market. The UAV Battery Management System (BMS) performs critical functions such as charging and discharging control, state detection, fault diagnosis and warning, data recording and analysis, etc., making it an essential component of UAVs. However, with the rapid advancements in battery-related materials and electrochemistry, new types of batteries are constantly emerging. Furthermore, the rise of big data has expanded the possibilities for information processing. This necessitates the development of BMS to keep pace with ongoing research efforts, adjusting and enhancing the design, analysis, and calculation methods of existing systems to meet the increasingly diverse requirements for UAV power battery performance. Despite the growing importance of BMS, research in this area has primarily focused on electric vehicles, leaving UAVs relatively understudied. To address this research gap, this paper offers a comprehensive background overview and investigates recent hotspots in the field of UAV BMS. A total of nine research hotspots have been identified and classified into three main categories. The first category focuses on battery charging and discharging, involving studies on charging control strategies, battery equalization strategies, and hybrid battery energy management strategies. The second category revolves around battery state estimation, with a primary emphasis on estimating crucial parameters such as State of Charge (SOC), State of Health (SOH), Remaining Useful Life (RUL), and other state parameters. The third category addresses system components and safety-related issues, including research on data storage and transmission within the BMS, data security considerations, fault diagnosis techniques, and other safety topics. Furthermore, the paper proposes potential future trends and areas for further research exploration.
引用
收藏
页码:84636 / 84650
页数:15
相关论文
共 50 条
  • [31] Developments in battery thermal management systems for electric vehicles: A technical review
    Tete, Pranjali R.
    Gupta, Mahendra M.
    Joshi, Sandeep S.
    JOURNAL OF ENERGY STORAGE, 2021, 35
  • [32] Battery Management System Algorithm for Energy Storage Systems Considering Battery Efficiency
    Lee, Jeong
    Kim, Jun-Mo
    Yi, Junsin
    Won, Chung-Yuen
    ELECTRONICS, 2021, 10 (15)
  • [33] A Review of Modeling, Management, and Applications of Grid-Connected Li-Ion Battery Storage Systems
    Rouholamini, Mahdi
    Wang, Caisheng
    Nehrir, Hashem
    Hu, Xiaosong
    Hu, Zechun
    Aki, Hirohisa
    Zhao, Bo
    Miao, Zhixin
    Strunz, Kai
    IEEE TRANSACTIONS ON SMART GRID, 2022, 13 (06) : 4505 - 4524
  • [34] Advances, perspectives and challenges in phase change material based battery thermal management: A comprehensive review
    Faseena, A. M. Fathimathul
    Sreekumar, A.
    JOURNAL OF ENERGY STORAGE, 2025, 113
  • [35] Energy Sources and Battery Thermal Energy Management Technologies for Electrical Vehicles: A Technical Comprehensive Review
    El Afia, Sara
    Cano, Antonio
    Arevalo, Paul
    Jurado, Francisco
    ENERGIES, 2024, 17 (22)
  • [36] A comprehensive review on battery thermal management system for better guidance and operation
    Altuntop, Enis Selcuk
    Erdemir, Dogan
    Kaplan, Yuksel
    Ozceyhan, Veysel
    ENERGY STORAGE, 2023, 5 (08)
  • [37] Research progress in fault detection of battery systems: A review
    Shang, Yuzhao
    Wang, Shanshuai
    Tang, Nianhang
    Fu, Yaping
    Wang, Kai
    JOURNAL OF ENERGY STORAGE, 2024, 98
  • [38] Recent Advancements in Battery Thermal Management Systems for Enhanced Performance of Li-Ion Batteries: A Comprehensive Review
    Rahmani, Amin
    Dibaj, Mahdieh
    Akrami, Mohammad
    BATTERIES-BASEL, 2024, 10 (08):
  • [39] Battery and energy management system for vanadium redox flow battery: A critical review and recommendations
    Wang, Hao
    Pourmousavi, S. Ali
    Soong, Wen L.
    Zhang, Xinan
    Ertugrul, Nesimi
    JOURNAL OF ENERGY STORAGE, 2023, 58
  • [40] Advancements in intelligent cloud computing for power optimization and battery management in hybrid renewable energy systems: A comprehensive review
    AL-Jumaili, Ahmed Hadi Ali
    Muniyandi, Ravie Chandren
    Hasan, Mohammad Kamrul
    Singh, Mandeep Jit
    Paw, Johnny Koh Siaw
    Amir, Mohammad
    ENERGY REPORTS, 2023, 10 : 2206 - 2227