Cited By
View all- Krug SHutschenreuther TToepfer HO’Nils M(2024)Impact of Real-World Energy Consumption Variance on Internet of Things Node Lifetime PredictionsElectronics10.3390/electronics1323457813:23(4578)Online publication date: 21-Nov-2024
Towards Energy Consumption Prediction with Safety Margins for Multicopter Systems
Pages 227 - 228
Abstract
Multicopters are robotic systems with a remarkable degree of freedom and applicability. A significant limitation of all mobile robotic vehicles is the restricted on-board energy storage capacity and consequential limited operation time. Uninterrupted mission execution of multicopter swarms thus requires to predict energy depletion and plan maintenance and replacement processes accordingly. This paper presents and discusses challenges of a realistic prediction model for battery energy consumption. To cope with the inherent uncertainty we are interested not only in the expected values, but also safety margins. The paper discusses common expectations first and presents a solution idea for the underlying key issue.
References
[1]
T. Dietrich, S. Krug, and A. Zimmermann. 2017. An Empirical Study on Generic Multicopter Energy Consumption Profiles. In IEEE Int. Systems Conference (SysCon 2017). Montreal, Canada, 1--6.
[2]
R. Lyman Ott and Michael Longnecker. 2010. An Introduction to Statistical Methods and Data Analysis (6 ed.). Cengage Learning Inc.
Index Terms
- Towards Energy Consumption Prediction with Safety Margins for Multicopter Systems
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Published In
December 2017
268 pages
ISBN:9781450363464
DOI:10.1145/3150928
Copyright © 2017 Owner/Author.
Permission to make digital or hard copies of part or all of this work for personal or classroom use is granted without fee provided that copies are not made or distributed for profit or commercial advantage and that copies bear this notice and the full citation on the first page. Copyrights for third-party components of this work must be honored. For all other uses, contact the Owner/Author.
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- EAI: The European Alliance for Innovation
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Association for Computing Machinery
New York, NY, United States
Publication History
Published: 05 December 2017
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- Refereed limited
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VALUETOOLS 2017
VALUETOOLS 2017: 11th EAI International Conference on Performance Evaluation Methodologies and Tools
December 5 - 7, 2017
Venice, Italy
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Overall Acceptance Rate 90 of 196 submissions, 46%
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Cited By
View all- Krug SHutschenreuther TToepfer HO’Nils M(2024)Impact of Real-World Energy Consumption Variance on Internet of Things Node Lifetime PredictionsElectronics10.3390/electronics1323457813:23(4578)Online publication date: 21-Nov-2024
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