elib
DLR-Header
DLR-Logo -> http://www.dlr.de
DLR Portal Home | Imprint | Privacy Policy | Contact | Deutsch
Fontsize: [-] Text [+]

Operational Optimization of the Lithium-ion Batteries of TerraSAR-X/TanDEM-X

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.

[img] PDF - Published version
2MB

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/
Document Type:Article
Title:Operational Optimization of the Lithium-ion Batteries of TerraSAR-X/TanDEM-X
Authors:
AuthorsInstitution or Email of AuthorsAuthor's ORCID iD
Stathopoulos, FotiosFotios.Stathopoulos (at) dlr.deUNSPECIFIED
Müller, KayKay.Mueller (at) dlr.deUNSPECIFIED
Fragoso Garrido de Matos Lino, Miguelmiguel.lino (at) dlr.deUNSPECIFIED
Kraus, ThomasT.Kraus (at) dlr.dehttps://orcid.org/0000-0002-9486-7371
Klenk, PatrickPatrick.Klenk (at) dlr.deUNSPECIFIED
Steinbrecher, UlrichUlrich.Steinbrecher (at) dlr.dehttps://orcid.org/0000-0002-3704-3886
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:07 Apr 2021 11:42

Repository Staff Only: item control page

Browse
Search
Help & Contact
Information
electronic library is running on EPrints 3.3.12
Copyright © 2008-2017 German Aerospace Center (DLR). All rights reserved.