Master Thesis: Data-Driven Optimization of Predictive Engine Stop/Start
Bygg, teknik och hantverk · Bygg- och industriteknik · Maskinteknik
I korthet
Master's students in Automotive Engineering, Mechanical Engineering, Mechatronics, Control Engineering, Applied Physics, or Data Science are sought for a temporary thesis project in Gothenburg, Sweden. The project focuses on data-driven optimization of the Predictive Engine Stop/Start (PESS) system for heavy-duty vehicles, using real-world data to improve fuel efficiency and expand utilization. Responsibilities include data analysis, KPI development, and identifying improvement opportunities.
Ansvarsområden
- Analyze customer vehicle data and PESS performance.
- Develop relevant KPIs and visualizations using tools such as Python, MATLAB and/or Power BI.
- Analyze factors affecting PESS utilization, such as vehicle load (GCW), ambient temperature, driving conditions, drive modes and system inhibitions.
- Identify customer applications and operating conditions with high PESS potential but low actual utilization.
- Quantify lost PESS opportunities and their potential impact on fuel savings.
- Identify and evaluate technical concepts that could extend PESS operation.
- Use customer data to discover and prioritize additional improvement opportunities.
Krav
- Master's students within Automotive Engineering, Mechanical Engineering, Mechatronics, Control Engineering, Applied Physics, Data Science or a related field.
- Strong analytical and problem-solving skills.
- Experience with data analysis using Python, MATLAB or similar tools.
- Interest in vehicle systems, energy efficiency and data-driven engineering.
- Basic knowledge of statistics and data visualization.
- Ability to connect data findings with physical and engineering phenomena.
Önskade kvalifikationer
- Experience with powertrain systems, energy management, control systems, modelling/simulation, thermal management, MATLAB/Simulink or Power BI is considered an advantage.
- Enjoys using data to visualize system performance, understand why the system behaves as it does, identify improvement opportunities and quantify their potential.
Förmåner
- Opportunity to shape sustainable transport and infrastructure solutions.
- Work with next-gen technologies and collaborative teams.
- Gain experience in data analysis, PESS optimization, and vehicle systems.
Färdigheter
PythonMATLABPower BIData AnalysisStatisticsData VisualizationPowertrain SystemsEnergy ManagementControl SystemsModeling/SimulationThermal ManagementMATLAB/Simulink
#Automotive Engineering#Data Science#Mechanical Engineering#Mechatronics#Control Engineering#Applied Physics#Vehicle Systems#Energy Efficiency#Data-Driven Engineering#Statistics#Data Visualization#Powertrain Systems#Energy Management#Control Systems#Modeling/Simulation#Thermal Management#MATLAB/Simulink#Power BI#Predictive Engine Stop/Start
Om Volvo Group
The Volvo Group is one of the world’s leading manufacturers of trucks, buses, construction equipment and marine and industrial engines. The Group also provides complete solutions for financing and service. The Volvo Group, with its headquarters in Gothenburg, employs about 100,000 people, has production facilities in 18 countries and sells its products in more than 190 markets.\n\n
Företag
Volvo GroupPublicerade jobb
för 4 dagar sedan
Upphör
om 1 vecka
Anställningstyp
Tillfällig
Arbetsform
På plats
Erfarenhetsnivå
Student
Platser
Göteborg, Sweden
Kvalifikation
Masterexamen
Sökande
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