Case Study
Tuesday, March 25
10:00 AM - 10:30 AM
Live in Berlin
Less Details
For various holistic powertrain optimisation approaches, simultaneous component sizing is still a challenging task as electric machine optimisation typically reduces transmission to only a few parameters and vice versa. By doing so, manual evaluation on the system level is still required before the next optimisation loop. Therefore, a holistic concept design method, developed at ika, aims to reduce the necessity of human input and verification by increasing the degree of automation in powertrain development. However, the complexity of the optimisation problem increases even further when considering multi-motor concepts and incorporating different modularity approaches. As a countermeasure to avoidable iterations in the design process, several ideas on how to accelerate powertrain development while still achieving the desired trade-off between the degree of modularity and vehicle performance will be discussed. After demonstrating the potential of selected optimisation techniques (regarding computing time, accuracy, and the targeted powertrain characteristics), a prototypic e-axle which was conceptualized using the ika method will be presented as well. Using the measurement data, a demonstration of machine learning-based calibration with a focus on transmission losses (for more precise prediction of energy demand and overheating prevention) will round up the presentation.
Learn more about:
During her major in Automotive Engineering and Transport at RWTH Aachen University, Anna discovered her interest in electrification of the commercial vehicle sector and then acquired her first experience in the field during her master's thesis on measurement-based validation of an e-axle and by doing a mechanical design for a fuel cell truck as a student assistant.
After her graduation in mechanical engineering, she joined the Institute for Automotive Engineering (ika) at RWTH Aachen University in the Energy Management & Drivetrains department to start her PhD in 2022. Her current research focuses on different aspects of powertrain development as part of multiple research projects and ranges from increasing the degree of automation in powertrain sizing to conceptual design of e-axles for some specific heavy-duty applications, to developing a prototype together with the team in the eTestHiL project. Besides her interest in improving the efficiency and sustainability of electric vehicles, her other interests include software development and optimisation algorithms since those are essential for the design and implementation of novel development methods.
The Pop in Your Job:
From my perspective, working in research is perfect for those who like to learn from challenges (both technical and those beneficial to personal development) and through meeting and exchanging ideas with experts. It is also a great possibility to experience the complete development process from an idea and first concept to a prototype in a relatively short amount of time. So in my opinion, it’s great for those like me willing to turn a hobby into a career since a PhD is a personal project that requires commitment, passion, curiosity, and willingness to constantly learn, try new things out, and think of ways something hasn‘t been done before.