Master's Thesis: Range Estimation for EV Drivelines

Volvo Penta AB; Göteborgs kommun; On-site; SEK 190,000 - 234,000; Full time

Job summary

Volvo Penta in Göteborg (Gothenburg) invites a Master’s thesis student to explore how application-specific operating patterns can improve range estimation for battery electric drivelines and lay the foundation for a future digital twin framework.

You will define use cases, analyze vehicle data, benchmark methods, and collaborate with the Industrial EMOB Controls team to translate insights into concepts and recommendations.

Qualifications

• Currently pursuing a Master's degree in Electrical Engineering or related field.
• Strong analytical and problem-solving skills.
• Interest in electrification and battery systems.
• Experience with data analysis and modeling tools such as Python or MATLAB.
• Ability to work independently while collaborating with stakeholders.
• Strong communication skills in English.

Responsibilities

• Define representative use cases and duty cycles for electric applications.
• Review and benchmark state-of-the-art methods for range and remaining-time estimation.
• Analyze operational and vehicle data to evaluate prediction accuracy.
• Investigate how factors such as load profile and operating environment impact range estimation.
• Develop and assess concepts for application-aware range prediction.
• Explore how improved estimation supports a digital twin framework for electric powertrains.
• Present recommendations for future implementation and development.

Skills

Data analysis

Python

MATLAB

Independent work

English communication

Education

Master's degree in Electrical Engineering

Mechatronics

Tools

Python

MATLAB

Job description

Volvo Penta in Göteborg (Gothenburg) invites a Master’s thesis student to explore how application-specific operating patterns can improve range estimation for battery electric drivelines and lay the foundation for a future digital twin framework.

You will define use cases, analyze vehicle data, benchmark methods, and collaborate with the Industrial EMOB Controls team to translate insights into concepts and recommendations.