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• W3047712133 abstract "Future automated vehicles such as robotaxis will have higher requirements on fail-operational system behavior because of the missing driver responsible for the safety of the vehicle and passengers. This leads to additional constraints on reliability and availability for the design of an electrical powertrain. On the other hand, new degrees of freedom for their operation arise at the component and system level due to redundancy used in fail-operational architectures. It is thus important to quantitatively evaluate the reliability of powertrain configurations in early design phases, and to assess their relation to equipment cost.This paper investigates requirements and challenges in designing and modeling fail-operational powertrain topologies. It presents a model-based approach to evaluate system reliability and availability of different electric drivetrains with respect to degradation of propulsion. For this, stochastic Petri nets are used as they offer considerable advantages in modeling complex dynamic discrete event systems compared to classic models such as fault trees or Markov chains. Various configurations as well as the respective system behavior can be modeled and evaluated in one generic net. The results show the influence of configuration parameters on reliability measures, which can be used in optimization of the overall design." @default.
• W3047712133 created "2020-08-13" @default.
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• W3047712133 date "2020-07-01" @default.
• W3047712133 modified "2023-10-04" @default.
• W3047712133 title "Model-Based Dependability Analysis of Fail-Operational Electric Drivetrains" @default.
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• W3047712133 doi "https://doi.org/10.1109/aim43001.2020.9158882" @default.
• W3047712133 hasPublicationYear "2020" @default.
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