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
  • [21] Battery Management Systems for Electric Vehicles using Lithium Ion Batteries
    Vaideeswaran, V.
    Bhuvanesh, S.
    Devasena, M.
    2019 INNOVATIONS IN POWER AND ADVANCED COMPUTING TECHNOLOGIES (I-PACT), 2019,
  • [22] Towards Safer and Smarter Design for Lithium-Ion-Battery-Powered Electric Vehicles: A Comprehensive Review on Control Strategy Architecture of Battery Management System
    Ashok, Bragadeshwaran
    Kannan, Chidambaram
    Mason, Byron
    Ashok, Sathiaseelan Denis
    Indragandhi, Vairavasundaram
    Patel, Darsh
    Wagh, Atharva Sanjay
    Jain, Arnav
    Kavitha, Chellapan
    ENERGIES, 2022, 15 (12)
  • [23] A comprehensive assessment of emerging trends in battery thermal management systems
    Bhosale, Arvind
    Deshmukh, Vaibhav
    Chaudhari, Mangesh
    JOURNAL OF THE BRAZILIAN SOCIETY OF MECHANICAL SCIENCES AND ENGINEERING, 2024, 46 (03)
  • [24] A Comprehensive Review on Electric Vehicle: Battery Management System, Charging Station, Traction Motors
    Thangavel, Saravanakumar
    Mohanraj, Deepak
    Girijaprasanna, T.
    Raju, Saravanakumar
    Dhanamjayulu, C.
    Muyeen, S. M.
    IEEE ACCESS, 2023, 11 : 20994 - 21019
  • [25] A Comprehensive Review of Available Battery Datasets, RUL Prediction Approaches, and Advanced Battery Management
    Hasib, Shahid A.
    Islam, S.
    Chakrabortty, Ripon K.
    Ryan, Michael J.
    Saha, D. K.
    Ahamed, Md H.
    Moyeen, S., I
    Das, Sajal K.
    Ali, Md F.
    Islam, Md R.
    Tasneem, Z.
    Badal, Faisal R.
    IEEE ACCESS, 2021, 9 : 86166 - 86193
  • [26] Powering the Future: A Comprehensive Review of Battery Energy Storage Systems
    Rey, Sergi Obrador
    Romero, Juan Alberto
    Romero, Lluis Trilla
    Martinez, Alber Filba
    Roger, Xavier Sanchez
    Qamar, Muhammad Attique
    Dominguez-Garcia, Jose Luis
    Gevorkov, Levon
    ENERGIES, 2023, 16 (17)
  • [27] A comprehensive review of battery thermal management systems for electric vehicles: Enhancing performance, sustainability, and future trends
    Togun, Hussein
    Basem, Ali
    Dhabab, Jameel M.
    Mohammed, Hayder I.
    Sadeq, Abdellatif M.
    Biswas, Nirmalendu
    Abdulrazzaq, Tuqa
    Hasan, Husam Abdulrasool
    Homod, Raad Z.
    Talebizadehsardari, Pouyan
    INTERNATIONAL JOURNAL OF HYDROGEN ENERGY, 2025, 97 : 1077 - 1107
  • [28] A Comprehensive Review of Battery-Integrated Energy Harvesting Systems
    Han, Dong-Yeob
    Song, Chi Keung
    Lee, Gayoung
    Song, Woo-Jin
    Park, Soojin
    ADVANCED MATERIALS TECHNOLOGIES, 2024, 9 (21)
  • [29] Charging facility planning and scheduling problems for battery electric bus systems: A comprehensive review
    Zhou, Yu
    Wang, Hua
    Wang, Yun
    Yu, Bin
    Tang, Tianpei
    TRANSPORTATION RESEARCH PART E-LOGISTICS AND TRANSPORTATION REVIEW, 2024, 183
  • [30] Design optimization methodologies applied to battery thermal management systems: A review
    Ebbs-Picken, Takiah
    Da Silva, Carlos M.
    Amon, Cristina H.
    JOURNAL OF ENERGY STORAGE, 2023, 67