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

vor 2 Wochen


Graz, Steiermark, Österreich AVL List GmbH Vollzeit

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 tax.

You don't want to write your final thesis just for the books, then explore the mobility of the future together with us Maybe you will be a part of it soon



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