Thesis - Advanced Battery State Estimation Algorithms models using smart sensors (m/w/d)

We offer the following reserach topic:

Thesis - Advanced Battery State Estimation Algorithms models using smart sensors

Your Responsibilities

* Literature review of possible smart sensors and its effect/impact on BCF
* Definition of BCF architecture for Smart-sensor based BMS.
* Algorithm development of Battery Core Function based on smart sensors
* 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

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