Thesis work:30hp - Combustion Modelling and Optimization of an Argon Hydrogen HPDI Engine

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Background
The inescapable shift towards sustainable energy solutions demands the optimization of innovative power generation technologies. The transition toward zero-emission propulsion technologies has renewed interest in hydrogen-fueled internal combustion engines (H₂-ICEs). These engines offer a viable pathway to decarbonization while leveraging existing engine infrastructure. The integration of the Argon Power Cycle, which leverages argon’s noble properties to improve thermal efficiency, further amplifies the environmental benefits.

Goal
The goal of this thesis is to develop a validated and predictive combustion model in GT-Suite for an Argon–Hydrogen High-Pressure Direct Injection (HPDI) engine, integrating both experimental test data and simulation-based analyses. The work aims to deepen the understanding of Argon–Hydrogen combustion characteristics and to identify optimal operating strategies that enhance engine efficiency. By combining measured in-cylinder pressure data and performance parameters with calibrated GT-Suite simulations, the project seeks to create a reliable virtual platform for evaluating injection strategies, thermodynamic effects, and combustion stability. Ultimately, the goal is to support the development of next-generation hydrogen-fueled engines through data-driven modeling and optimization.

Work Description
The main body of work could be divided in this manner:

• Performing a comprehensive literature study on H₂ HPDI, Argon Power Cycle and Hydrogen combustion

• To analyze experimental and simulated data from Hydrogen combustion

• To calibrate and validate the combustion model using measured cylinder pressure traces

• To implement the calibrated combustion model in existing gas exchange models and evaluate the outcome

• To conduct sensitivity and parametric studies on injection timing, pressure, and lambda, etc.

Your Profile
You are a master’s program student within Mechanical Engineering, Automotive Engineering or similar fields with an interest in internal combustion engines and experience in simulations. Knowledge of internal combustion engines and previous experience with GT-Suite software are advantageous.

Number of students: 1

Start date: January 2026

Project duration: 20 weeks

Contact Person
Amirali Kerachian, Development Engineer and Thesis Supervisor, amirali.kerachian@scania.com

Björn Lindgren, Unit Manager, bjorn.lindgren@scania.com

Application
Your application should include CV, cover letter and academic transcripts.

A background check might be conducted for this position. We are conducting interviews continuously and may close the recruitment earlier than the date specified.