Extended Kalman Filter-Based State of Charge and State of Power Estimation Algorithm for Unmanned Aerial Vehicle Li-Po Battery Packs-Reference-Cited by-同舟云学术

Extended Kalman Filter-Based State of Charge and State of Power Estimation Algorithm for Unmanned Aerial Vehicle Li-Po Battery Packs

Published:2017-08-21 Issue:8 Volume:10 Page:1237
ISSN:1996-1073
Container-title:Energies
language:en
Short-container-title:Energies

Author:

Jung Sunghun^ORCID,Jeong Heon

Funder

National Research Foundation of Korea (NRF)

Publisher

MDPI AG

Subject

Energy (miscellaneous),Energy Engineering and Power Technology,Renewable Energy, Sustainability and the Environment,Electrical and Electronic Engineering,Control and Optimization,Engineering (miscellaneous)

Link

http://www.mdpi.com/1996-1073/10/8/1237/pdf

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2. Mobile 3D mapping for surveying earthwork projects using an Unmanned Aerial Vehicle (UAV) system

3. Eyes of the Army—U.S. Army Roadmap for Unmanned Aircraft Systems Roadmap 2010–2035;Dempsey,2010

4. Battery management systems;Plett,2014

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