Master Thesis: Refinement and Validation of the InnoSat State of Charge Estimator
4 days ago
OHB Sweden is a leading provider of space systems, developing, building, testing, and operating satellites and in-orbit propulsion systems for missions in communication, Earth observation, and space research. Serving both institutional and commercial customers across Europe and beyond, OHB Sweden offers an exciting workplace where you can contribute to shaping the future of space technology.
We are now looking for a motivated Master student to carry out their Master thesis with us
Background and purpose of the master's thesis:
The reliable operation of a satellite depends critically on its power system — and at the heart of that system are its batteries. OHB Sweden's InnoSat platform uses lithium-ion battery technology to supply power to all spacecraft subsystems during mission phases in which the solar array is not illuminated. Accurately estimating the State of Charge (SoC) of these batteries is essential for mission safety, performance optimization, and lifetime management.
The purpose of this thesis is to revisit, refine, and modernize the InnoSat SoC estimation system, ensuring it is robust, maintainable, and adaptable to new lithium-ion battery technologies with minimal testing and characterization requirements.
Thesis overview:
The goal of this master's thesis is to analyze, improve, and validate the State of Charge estimator for the InnoSat satellite platform. The work includes understanding the existing algorithm, implementing improved estimation methods, and verifying their performance through simulation and, if applicable, hardware-in-the-loop testing.
The tasks of the master's thesis topic are as follows:
- Analyze the existing SoC estimation algorithm.
- Review battery characterization methods and identify approaches to minimize testing while maintaining accurate SoC estimation.
- Explore and implement improved SoC estimation techniques, possibly including adaptive filters or alternative modeling approaches.
- Validate the estimator performance through simulation and comparison with test data from existing or new battery types.
- Deliver recommendations for a clear, maintainable, and mission-adaptable SoC estimation framework for future InnoSat missions.
The required candidate's skills are:
- A background in Electrical Engineering, Space Engineering, Control Systems, or a related field.
- Strong knowledge of system modeling, estimation theory, and numerical methods.
- Experience with MATLAB/Simulink, Python, or similar simulation environments.
- Familiarity with battery modeling and filtering techniques is highly advantageous.
- Good understanding of embedded systems and space hardware is a plus.
- Excellent analytical, problem-solving, and communication skills.
What can we offer the students to help them to succeed in their master's thesis:
This master's thesis offers an opportunity to contribute directly to build a robust and predictable power system for OHB Sweden's satellite missions. You will gain hands-on experience with real satellite battery data, advanced estimation algorithms, and space-grade embedded systems.
You will work closely with experienced engineers at OHB Sweden, receiving guidance and technical mentorship throughout the project.
Successful completion of the thesis may open opportunities for future employment as a Systems or Power Engineer within OHB Sweden.
We're looking forward to hearing from you
-
Master Thesis
1 week ago
Stockholm, Stockholm, Sweden Atlas Copco Full time 450,000 - 675,000 per yearLevel of thesis project:Master thesisEducation requirement:Mechatronics, Mechanical or Electrical EngineeringFunctional area:Atlas Copco Industrial Technique AB and Tightening technique and lab developmentNumber of students for this project:1Start:Flexible, early 2026 preferredYour roleTargetThe goal of this master thesis is to develop and validate advanced...
-
Stockholm, Stockholm, Sweden RISE Research Institutes of Sweden AB Full time 40,000 - 60,000 per yearMaster's thesis; Machine learning (ML) models that can estimate the percentage of each fibre type contribution in a paper boardBackground The thesis forms part of the VINNOVA financed project "AI-Tomo: Accelerated materials characterisation by AI and X-ray tomography" ). The goal of AI-TOMO is to develop AI algorithms for fast, effective segmentation and...
-
Stockholm, Stockholm, Sweden RISE Research Institutes of Sweden AB Full timeAt TechMark Arena 2026 – a master thesis school at RISE. About Digital Cellulose CenterDigital Cellulose Center (DCC) is a VINNOVA competence center with the vision of establishing an internationally competitive research environment, being coordinated by RISE. The environment provides expertise and infrastructure for industry-driven, excellent R&D in the...
-
Stockholm, Stockholm, Sweden RISE Research Institutes of Sweden AB Full time 270,000 - 420,000 per yearThesis subject/assignmentThe goal of this project is to develop a compression dynamics model for corrugates boards in flexo post-printing processes, based on commercial FEM platforms. This work will combine FEM modelling with experimental measurements. Purpose of the projectCorrugated board is a commonly used packaging material for transport goods and...
-
Stockholm, Stockholm, Sweden Sandvik Full time 60,000 - 120,000 per yearAre you passionate about engineering, AI, and digital innovation? Join Sandvik Coromant and help revolutionize how machining times are calculated – a key factor in efficient manufacturing. This is your chance to work with cutting-edge technologies and contribute to real-world industrial solutionsSandvik Coromant is a global leader in tools and solutions...
-
Stockholm, Stockholm, Sweden OHB Sweden Full time 40,000 - 80,000 per yearAbout OHB SwedenOHB Sweden is a leading provider of space systems, developing, building, testing, and operating satellites and in-orbit propulsion systems for missions in communication, Earth observation, and space research. Serving both institutional and commercial customers across Europe and beyond, OHB Sweden offers an exciting workplace where you can...
-
Master Thesis
2 days ago
Stockholm, Stockholm, Sweden Atlas Copco Full timeFunctional area:Machine LearningEducation requirement:Computer Science, Mechatronics, Electrical engineering (or similar engineering disciplines)Level of thesis project:Master thesisYour roleThe goal of the project is to design and evaluate Machine Learning models for specific sensor data processing in a pulsating tool for a specific function in an efficient...
-
Stockholm, Stockholm, Sweden RISE Research Institutes of Sweden AB Full time 36,000 - 64,000 per yearIn the Internet of Things (IoT), a large number of connectable devices will be connected to the Internet, with many of them being heterogeneous or resource-constrained in terms of processing power, memory, accessibility, and energy budget. For these reasons, it is important that IoT networks can rely on efficient communication models together with strong...
-
Master Thesis
1 week ago
Stockholm, Stockholm, Sweden Atlas Copco Full time 40,000 - 60,000 per yearLevel of thesis project:Master thesisEducation requirement:Mechatronics or Electrical EngineeringFunctional area:Atlas Copco Industrial Technique AB and Tightening technique and lab developmentNumber of students for this project:1Start:Flexible, early 2026 preferredYour roleTargetTo build a dynamic calibration test rig for calibrating an Inline Rotary Torque...
-
Master Thesis
1 week ago
Stockholm, Stockholm, Sweden DEMA Full time 450,000 - 675,000 per yearDema helps leading brands make smarter marketing investment decisions through advanced analytics and modern Marketing Mix Modeling (MMM). Our platform combines statistical rigor with usability, enabling marketing teams to understand what truly drives performance and growth.We are now looking for a curious and motivatedMaster's studenteager to explore...