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We offer the following reserach topic:
Thesis - General comparison of ML methods for Li-Ion battery voltage prediction
Your Responsibilities
In the automotive industry, SOC (State of Charge) and SOH (State of Health) estimates play an essential role for electric 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 and sustainable 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 Engineering
for system identification to predict the output voltage of a Li-Ion battery
the ML algorithms are to be trained and validated on a synthetic data set generated by an ECC
Comparison of at least two different ML algorithms (NN mandatory) to
R & C parameter estimation
Time variant model parameters (R & C) (optional)
How can prior physical knowledge be used to improve the prediction (opt.)
Your Profile
Ongoing studies in the fields of Electrical Engineering, Computer Science/Data Science or Digital Engineering
Good knowledge of English
Programming skills in Python
Knowledge of optimization methods and machine learning
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.
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.
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!
