Master's Thesis - Data mining of power consumption from 24V Power supply on vehicle

Introduction and Background A thesis project at TRATON provides an excellent opportunity to gain practical experience, expand your professional network, and contribute to the development of future transportation solutions. Many of our current employees started their careers by completing their degree projects within the organization. TRATON Group includes leading commercial vehicle brands such as Scania, MAN, Volkswagen Truck & Bus, and International. Together, we are driving the transformation towards sustainable transportation. As a thesis student, you will collaborate with experienced engineers and specialists, contribute to ongoing product development, and gain valuable insight into one of the world's leading commercial vehicle manufacturers. For more information, visit www.traton.com. Thesis Objective The objective of this thesis is to analyze operational vehicle data and derive valuable insights into how the 24V battery system is used in commercial vehicles. The study will focus on understanding energy consumption and power demand patterns in real-world vehicle operation. The findings will help establish a baseline for future product development and improve our understanding of battery usage, energy management, and potential misuse scenarios. The generated insights will also support the development of data-driven strategies and predictive maintenance models for the vehicle electrical system. Job Description The thesis will combine theoretical analysis with practical data processing and visualization. Your work will include:

• Collecting and analyzing data from vehicles equipped with battery monitoring systems.
• Classifying vehicles based on operating conditions and usage patterns.
• Investigating driving profiles and related data concerning vehicle startability, operation, idling, and hoteling functions.
• Developing MATLAB scripts for data processing and analysis.
• Filtering and extracting relevant information from large datasets.
• Creating visualizations and performing statistical analyses of the collected data.
• Establishing a structured dataset that is easy to interpret and use for future studies.

Expected Deliverables

• MATLAB scripts for data processing and analysis.
• Visual representations of battery usage, energy consumption, and power demand.
• Statistical analysis of collected vehicle data.
• Recommendations and conclusions based on the findings.

Education / Program / Qualifications We are looking for a curious, motivated, and analytical student with a strong interest in data analysis, electrical systems, and sustainable technologies. You enjoy solving complex problems, working with large datasets, and transforming data into valuable insights. You should be able to work independently while also communicating effectively with stakeholders and supervisors throughout the project. Preferred Qualifications

• Basic understanding of 24V vehicle electrical and battery systems.
• Familiarity with data analysis and modeling tools such as MATLAB.
• Experience with MATLAB scripting.
• Basic understanding of CANalyzer and CAN-based vehicle data.
• Interest in data analytics, statistics, and visualization.
• Fluency in English, both written and spoken.

Students from various engineering disciplines and educational backgrounds are encouraged to apply. Thesis Start Date January/February 2027 The exact start date and project timeline will be agreed upon between TRATON, the selected candidate, and the academic institution. Contact Information For questions regarding the thesis project, please contact:

• Agnaldo Carvalho Barberino Junior, Manager, TGREEVS Agnaldo.Junior@scania.com
• Prasanth Balasubramanian, Design Engineer, TGREEVS prasanth.balasubramanian@scania.com
• Per Nordvall, Design Engineer, TGREEVS per.nordvall@scania.com

Application Your application must include:

• CV
• Personal letter
• Transcript of grades

We welcome applicants from all backgrounds and believe that diverse perspectives contribute to better solutions and stronger teams. Please note that a background check may be conducted for this position. Interviews will be held continuously, and the recruitment process may be closed before the stated application deadline. We look forward to receiving your application and exploring the future of sustainable transportation together. Publication date from - to 2026-10-19–2026-11-15