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We offer the following research topic Thesis - Development of Electro-Chemical-Mechanical Battery Models Master Thesis The automotive industry's role in curbing carbon emissions ... performance and reliability. Electro-chemical-mechanical models help capture the intricate dynamics of battery performance, aging, and mechanical impacts. This master's thesis opportunity ...
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We offer the following research topic Thesis - Implementation and validation of physics based cell models Bachelor Thesis YOUR RESPONSIBILITIES: Literature review of possible ... physics-based cell models Algorithm development and implementation of physics-based model Concept development of a data generation model to obtain data which can be to calibrate an ...
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We offer the following reserach topic: Thesis - Advanced Battery State Estimation Algorithms models using smart sensors Your Responsibilities Literature review of possible smart ... model based on real test data Your Profile Ongoing bachelor studies in the fields of Electrical engineering / electronics, Automotive engineering, Automation technology, Telematics ...
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We offer the following research topic Thesis - Advanced Battery State Estimation Algorithms models using smart sensors Bachelor Thesis YOUR RESPONSIBILITIES: Literature review of ... 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 ...
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We offer the following reserach topic: Thesis - Machine learning based testing of battery and fuel cells Your Responsibilities Fitting Physical Models to the test measurements of ... the Batteries or Fuel Cells are a powerful tool in capturing their inner characteristics. However, the fidelity of the physical model is highly dependent on the set of physical ...
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... 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 ... 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 ...
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... regarding energy consumption, accuracy and robustness. State of the art analysis of approaches to perform ML on DVS streams Select a model, then fine-tune it if required for a typical ... automotive scenario alternatively: build a simple own model by applying multi-stage learning using an existing perception system as feature extractor Port model to run on neuromorphic ...
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We offer the following research topic Thesis - Machine learning based testing of battery and fuel cells Master Thesis Fitting Physical Models to the test measurements of the ... Batteries or Fuel Cells are a powerful tool in capturing their inner characteristics. However, the fidelity of the physical model is highly dependent on the set of physical phenomena coved ...
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... 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 ...
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... 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 ... 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 ...
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Mit dem Klick auf “Job-E-Mail bestellen” stimmst du unseren AGBs, unseren Datenschutzbestimmungen und der Nutzung von Cookies zu. Du kannst dich jederzeit von unseren E-Mails & Services abmelden.