Battery-health-aware UAV mission planning using a cognitive battery management system-Reference-Cited by-同舟云学术

Battery-health-aware UAV mission planning using a cognitive battery management system

Published:2023-06-06 Issue: Volume: Page:
ISSN:
Container-title:2023 International Conference on Unmanned Aircraft Systems (ICUAS)
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Author:

An Di¹,Krzysiak Rafal²,Hollenbeck Derek²,Chen YangQuan¹

Affiliation:

1. University of California,Electrical Engineering & Computer Science,Merced

2. University of California,Department of Mechanical Engineering,Merced

Publisher

IEEE

Link

http://xplorestaging.ieee.org/ielx7/10155645/10155789/10156138.pdf?arnumber=10156138

Reference21 articles.

1. A miniature millimeter-wave radar based con-tactless lithium polymer battery capacity sensing with edge artificial intelligence;an;Proceedings of 2022 18th IEEE/ASME International Conference on Mechatronic and Embedded Systems and Applications (MESA),2022

2. Contactless Li-Ion Battery Voltage Detection by Using Walabot and Machine Learning

3. Online available capacity prediction and state of charge estimation based on advanced data-driven algorithms for lithium iron phosphate battery

4. State-of-charge estimation for battery management system using optimized support vector machine for regression

5. Characterization of gel polymer electrolyte for suppressing deterioration of cathode electrodes of Li ion batteries on high-rate cycling at elevated temperature

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