We offer the following reserach topic:Thesis General comparison of ML methods for Li Ion battery voltage predictionYour ResponsibilitiesIn the automotive industry, SOC (State of Charge) and SOH (State of Health) estimates play an essential role forelectric vehicles. These estimates increase safety and improve charging efficiency. We use machine learning algorithms to improve these estimations and thus promote progress in battery technology for a more efficient andsustainable automotive future.Modeling of an electrical equivalent circuit of a battery (ECC) State Space Model (SS Model) on time invariant model parameters (R & C constant)Implementation and comparison of different ML algorithms like NN, LSTM, Decision Trees, Gaussian Processes, Feature Engineeringfor system identification to predict the output voltage of a Li Ion batterythe ML algorithms are to be trained and validated on a synthetic data set generated by an ECCComparison of at least two different ML algorithms (NN mandatory) to R & C parameter estimationTime variant model parameters (R & C) (optional)How can prior physical knowledge be used to improve the prediction (opt.)Your ProfileOngoing studies in the fields ofElectrical Engineering, Computer Science/Data Science or Digital EngineeringGood knowledge of EnglishProgramming skills in PythonKnowledge of optimization methods and machine learningWe offerYou 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.About AVLAVL is one of the worlds 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. The successful completion of the thesis is remunerated with a one time fee of EUR 1.700, before 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! Apply now AVL is not just about cars. It''s about changing the future. Together.www.avl.com/career