Thesis - Analysis of predictive fast charging algorithms to improve battery lifetime (m/w/d)

We offer the following reserach topic:

Thesis - Analysis of predictive fast charging algorithms to improve battery lifetime

Your Responsibilities

* Literature review of ageing models and predictive fast charging algorithms
* Algorithm development of lifetime prediction/ageing model of a battery pack
* Development of strategy to optimize the fast charging current based on actual battery pack SOH
* Validation of the model based on real test data

Your Profile

* Ongoing bachelor studies in the fields of Electrical engineering / electronics, Automotive engineering, Automation technology, Telematics, Innovation management or similar
* Good knowledge in the field of control engineering
* First experiences in the application of Matlab/Simulink/Targetlink
* Good knowledge of English
* For this analysis your presence at our headquarter in Graz is necessary!

We offer

* You can write your thesis independently and receive professional guidance and support from our experienced employees.
* You will have the opportunity to exchange ideas with experts in the company and benefit from their expertise.
* Take the opportunity to immerse yourself in the world of AVL and embed your theoretical knowledge in a practical environment.

The successful completion of the thesis is remunerated with a one-time fee of 1.700,00 EUR before tax.

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About AVL

AVL is one of the world's leading mobility technology companies for development, simulation and testing in the automotive industry, and beyond. The company provides concepts, solutions and methodologies in fields like vehicle development and integration, e-mobility, automated and connected mobility (ADAS/AD), and software for a greener, safer, better world of mobility.

Find out more: www.avl.com

AVL is not just about cars. It's about changing the future. Together.
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