Battery Lifetime Prediction Engineer
Vor 5 Tagen
Job Opportunity:
We are seeking a highly motivated and skilled engineer to work on a thesis project focused on predictive fast charging algorithms to improve battery lifetime.
Your Responsibilities:
- Conduct a literature review of ageing models and predictive fast charging algorithms.
- Develop an algorithm for lifetime prediction/ageing model of a battery pack.
- Design a strategy to optimize the fast charging current based on actual battery pack SOH.
- Validate the model using real test data.
Your Profile:
- Ongoing bachelor studies in Electrical engineering, Automotive engineering, Automation technology, Telematics, or Innovation management.
- Good knowledge of control engineering.
- Experience with Matlab/Simulink/Targetlink.
- Excellent English language skills.
- Availability to work at our headquarters in Graz.
What We Offer:
- Independent thesis work with professional guidance and support.
- Opportunity to exchange ideas with experts and benefit from their expertise.
- Chance to apply theoretical knowledge in a practical environment.
The successful completion of the thesis is remunerated with a one-time fee. If you are interested in exploring the mobility of the future and contributing to the development of innovative solutions, we encourage you to apply.
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