An Intelligent BMS for Drone-Based Inspection of Offshore Wind Turbines-Reference-Cited by-同舟云学术

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An Intelligent BMS for Drone-Based Inspection of Offshore Wind Turbines

Published:2022-06-21 Issue: Volume: Page:
ISSN:
Container-title:2022 International Conference on Unmanned Aircraft Systems (ICUAS)
language:
Short-container-title:

Author:

Huang Denggao¹,Becerra Victor¹,Ma Hongjie¹,Simandjuntak Sarinova²,Fraess-Ehrfeld Alexander³

Affiliation:

1. University of Portsmouth,School of Energy and Electronic Engineering,Portsmouth,UK

2. University of Portsmouth,School of Mechanical and Design Engineering,Portsmouth,UK

3. AIRBORNE ROBOTICS Limited,London,UK

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/9836022/9835714/09836095.pdf?arnumber=9836095

Reference23 articles.

1. Battery health and performance monitoring system: a closer look at state of health (SoH) assessment methods of a Lead-Acid battery

2. A review on state of health estimations and remaining useful life prognostics of lithium-ion batteries

3. Intelligent algorithms and control strategies for battery management system in electric vehicles: Progress, challenges and future outlook

4. Review of Battery Management Systems (BMS) Development and Industrial Standards

5. Battery Management System Architectures for Unmanned Air Vehicles: A Strategic Issue;yildiz;Anadolu Strateji Dergisi,2021

Cited by 1 articles. 订阅此论文施引文献订阅此论文施引文献，注册后可以免费订阅5篇论文的施引文献，订阅后可以查看论文全部施引文献

1. A Comprehensive Review of Research Hotspots on Battery Management Systems for UAVs;IEEE Access;2023

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