Alex
Lamprecht

International PhD Program in collaboration with Technical University of Munich (TUM). Working on distributed Smart Battery Management Systems and active balancing algorithms for application in future public transport solutions. Developing decentralized algorithms to optimally use given hardware resources employing methods such as Machine Learning and Multi Objective Optimization with special focus on data analysis and cyber security

• Lead-acid battery testing and data processing
• Tests on commercial Li-Ion battery modules
• designing a CAN/RS45 communication interface and data logger software to transfer BMS data from battery modules to a PC
• building a standalone data logger to record BMS measurements
• Construction and multi-domain validation (electrical, magnetical, thermal) of various high-frequency transformer prototypes

Designing, calculating and measuring electrical machines for different projects using both computer based multi-objective optimization techniques and traditional measuring methods on physical existing prototypes. Gaining a broad insight into developing electrical machines. Using CAD tools like ANSYS as well as finite element method based solvers for differential electrical problems. Widening my skills in post-processing and evaluating the acquired data using Matlab and Python.

Conducting research on embedded battery management systems, decentralized control algorithms and IoT devices.

Thesis topic: Modeling and Analysis of a 3-Level NPC Inverter for Electric Vehicles. The thesis was done in cooperation with the Robert Bosch GmbH at the Robert-Bosch-Campus in Renningen

Thesis topic: Development of a Resource Eficient Multi-Phase PMSM for Electric Vehicle Applications