Refine
Year of publication
Document Type
- Doctoral Thesis (48)
- Master's Thesis (17)
- Article (12)
- Working Paper (12)
- Conference Proceeding (6)
- Bachelor Thesis (5)
- Report (5)
- Diploma Thesis (2)
- Habilitation (2)
- Book (1)
Language
- German (95)
- English (15)
- Multiple languages (1)
Keywords
- Evaluation (3)
- Lernen (3)
- Motivation (3)
- PHP (3)
- Unternehmensethik (3)
- Artificial Intelligence in Education (2)
- Berufsethik (2)
- Bioethik (2)
- Chemieunterricht (2)
- Datenbankentwurf (2)
Battery electric vehicle (BEV) adoption and complex powertrains
pose new challenges to automotive industries, requiring
comprehensive testing and validation strategies for reliability and
safety. Hardware-in-the-loop (HIL) based real-time simulation is
important, with cooperative simulation (co-simulation) being an
effective way to verify system functionality across domains. Fault
injection testing (FIT) is crucial for standards like ISO 26262.
This study proposes a HIL-based real-time co-simulation
environment that enables fault injection tests in BEVs to allow
evaluation of their effects on the safety of the vehicle. A Typhoon
HIL system is used in combination with the IPG CarMaker
environment. A four-wheel drive BEV model is built, considering
high-fidelity electrical models of the powertrain components
(inverter, electric machine, traction battery) and the battery
management system (BMS). Additionally, it enables validation of
driving dynamics, routes and environmental influences and provides
a precise analysis of the effect of powertrain system faults on driving
behavior. A possible case for a fault injection is to introduce a shootthrough fault in the inverter. Through the co-simulation, it is possible
to analyze the effects on the powertrain and the vehicle dynamics in
different driving situations (e.g. snow). This work demonstrates that
co-simulation is a valuable tool for the development and validation of
BEVs, and presents specific fault cases introduced into the
powertrain and the resulting effects tested under different driving
conditions. In addition, the study discusses the system's limitations
and future possibilities such as controller hardware integration
(Controller-HIL) and autonomous driving system validation.