Stathopoulos, Fotios and Müller, Kay and Fragoso Garrido de Matos Lino, Miguel and Kraus, Thomas and Klenk, Patrick and Steinbrecher, Ulrich (2021) Operational Optimization of the Lithium-ion Batteries of TerraSAR-X/TanDEM-X. IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing, 14, pp. 3243-3250. IEEE - Institute of Electrical and Electronics Engineers. doi: 10.1109/JSTARS.2021.3056174. ISSN 1939-1404.
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Official URL: https://ieeexplore.ieee.org/abstract/document/9353049
Abstract
After a decade of the TanDEM-X mission operations, the degradation of the battery capacity due to ageing defined a new challenge that needed to be addressed by the mission operations team. A novel machine-learning strategy has been gradually deployed in the Mission Planning System in order to optimize the battery utilization. The objective is twofold: a) to protect the operational state of the battery, while b) maximizing the executed SAR acquisitions under the new planning restrictions. The resulting optimal battery utilization thresholds have been communicated to the customers in a user-friendly way in order to assist their future planning, minimizing the ratio of not-executed requests due to the new energy and power constraints in the joint TerraSAR-X/TanDEM-X Mission Planning System. In this paper, we describe step by step the quantitative approach to model the satellites’ batteries in comparison to the previously used physical models; we outline the process of the new machine learning model in the Mission Planning System; we present the operational results of the model in comparison to the telemetry and we discuss the evolution of the machine learning model towards higher accuracy telemetry estimations.
Item URL in elib: | https://elib.dlr.de/139195/ | ||||||||||||||||||||||||||||
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Document Type: | Article | ||||||||||||||||||||||||||||
Title: | Operational Optimization of the Lithium-ion Batteries of TerraSAR-X/TanDEM-X | ||||||||||||||||||||||||||||
Authors: |
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Date: | February 2021 | ||||||||||||||||||||||||||||
Journal or Publication Title: | IEEE Journal of Selected Topics in Applied Earth Observations and Remote Sensing | ||||||||||||||||||||||||||||
Refereed publication: | Yes | ||||||||||||||||||||||||||||
Open Access: | Yes | ||||||||||||||||||||||||||||
Gold Open Access: | Yes | ||||||||||||||||||||||||||||
In SCOPUS: | Yes | ||||||||||||||||||||||||||||
In ISI Web of Science: | Yes | ||||||||||||||||||||||||||||
Volume: | 14 | ||||||||||||||||||||||||||||
DOI: | 10.1109/JSTARS.2021.3056174 | ||||||||||||||||||||||||||||
Page Range: | pp. 3243-3250 | ||||||||||||||||||||||||||||
Publisher: | IEEE - Institute of Electrical and Electronics Engineers | ||||||||||||||||||||||||||||
Series Name: | Special Issue on “TanDEM-X: Mission and Science Achievements after 10 Years of Operations” | ||||||||||||||||||||||||||||
ISSN: | 1939-1404 | ||||||||||||||||||||||||||||
Status: | Published | ||||||||||||||||||||||||||||
Keywords: | TerraSAR-X, TanDEM-X, lithium-ion battery, machine learning, mission operations, mission planning, SAR, Synthetic Aperture Radar, satellite missions, instrument operations, energy consumption, battery model | ||||||||||||||||||||||||||||
HGF - Research field: | Aeronautics, Space and Transport | ||||||||||||||||||||||||||||
HGF - Program: | Space | ||||||||||||||||||||||||||||
HGF - Program Themes: | Earth Observation | ||||||||||||||||||||||||||||
DLR - Research area: | Raumfahrt | ||||||||||||||||||||||||||||
DLR - Program: | R EO - Earth Observation | ||||||||||||||||||||||||||||
DLR - Research theme (Project): | R - SAR missions | ||||||||||||||||||||||||||||
Location: | Oberpfaffenhofen | ||||||||||||||||||||||||||||
Institutes and Institutions: | Space Operations and Astronaut Training > Mission Operations Microwaves and Radar Institute > Spaceborne SAR Systems | ||||||||||||||||||||||||||||
Deposited By: | Klenk, Dr. Patrick | ||||||||||||||||||||||||||||
Deposited On: | 04 Dec 2020 16:42 | ||||||||||||||||||||||||||||
Last Modified: | 24 May 2022 23:46 |
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