THESIS WORKER - OPTIMIZATION OF BEV THERMAL MANAGEMENT SYSTEMS USING MODELICA AND MACHINE LEARNING

Thesis Worker at Volvo Cars Welcome to explore the world of Volvo Cars by writing your thesis with us! As a thesis worker in our organization you are supported by a supervisor who follows you during your project.
All thesis projects are arranged in business critical areas and therefore you will be able to contribute to our company purpose – providing freedom to move in a safe, sustainable and personal way – from day one! Background As Battery Electric Vehicles (BEVs) continue to rise in importance within the automotive industry, efficient thermal management systems are critical for ensuring the performance and lifespan of high-voltage (HV) components, particularly batteries.
Proper cooling systems are essential for managing thermal loads during vehicle operation, thereby optimising energy use and extending battery life.
However, simulating these systems over large datasets, such as thousands of drive cycles, presents challenges in terms of cost, speed, and accuracy.
The significant computational and resource expenses required to handle such data volumes demand optimisation.
Modelica, a flexible open-source modeling language, is well suited to implement a framework for solving these types of problems.
In combination with Machine Learning techniques, efficiency of the simulations can be significantly improved.
Objective and Scope The primary objectives of this thesis are to.
1.
Develop BEV thermal system models (such as coolant systems) using Modelica.
2.
Optimise the cost, speed, and accuracy of running these simulations, especially when scaled to handle thousands of drive cycles.
3.
Leverage machine learning techniques to enhance simulation performance by analysing data from suppliers and improving decision-making.
Detailed Scope.
•    Literature Study and review •    Modelling BEV Thermal Systems (plant and controller) using Modelica •    Optimisation of Cost, Speed, and Accuracy of simulations •    Incorporation of Machine Learning algorithms to enhance the efficiency of the simulation framework •    Comparison with Existing Systems and Validation •    Master Thesis report Do you fit the profile We are looking for 2 students that are highly motivated and have genuine interest in cars, physical modelling and systems engineering.
You are likely a student in M.
c.
Mobility/Automotive Engineering, Controls Engineering, Mechanical/Electrical engineering, Engineering Physics or similar disciplines.
We see that you have great analytical and communication skills.
Experience with Modelica for system modelling and familiarity with fluid dynamics, thermodynamics, and simulation techniques is highly desirable.
You are fluent in English, written and spoken.
Duration •    The work will start in January   •    The duration for this thesis work is 20 weeks.
•    30 ECTS (academic credits) if in agreement with your Thesis Advisor in University •    This thesis is to be conducted by (preferably) 2 students and you are expected to be working on-site.
How to learn more and apply Selection will be ongoing during the application period, so do not hesitate to send in your application.
Attach your CV and personal letter stating your interests within the given area and your thoughts and credentials.
Apply as soon as possible but no later than Please note that applications via email will not be accepted.
If you have any additional questions regarding the thesis work, you are welcome to contact.
Manager, Jonas Nilton at   Who are we? Everything we do starts with people.
Our purpose is to provide freedom to move, in a personal, sustainable and safe way.
We are committed to simplifying our customers’ lives by offering better technology solutions that improve their impact on the world and bringing the most advanced mobility innovations to protect them, their loved ones and the people around them.
Volvo Cars’ continued success is the result of a collaborative, diverse, and inclusive working environment.
The people of Volvo Cars are committed to making a difference in our world.
Today, we are one of the most well-known and respected car brands, with over employees across the globe.
We believe in bringing out the best in each other and harnessing the true power of people.
At Volvo Cars your career is designed around your talents and aspirations so you can reach your full potential.
Join us on a journey of a lifetime as we create safety, autonomous driving and electrification technologies of tomorrow