Since a few years, the electrification of the automotive powertrain has led to major technical challenges. Among them, the proof of reliability for an e-Drive system is a key requirement addressed by VALEO through a dedicated methodology. The most important criteria for the design of a complete e-Drive system is a sufficient strength of all components, but not oversized neither! The limiting stress is determined based on a failure probability of the material strength value determined during the measurement of the Wohler curve. In reducer, example gear strength expressed in safety factors for bending, contact etc., and bearing strength are expressed in lifetime. In such situations, how to identify the e-Drive system is safe, also the inherent failure of probability of the methods for different components varies. This paper presents a method to transfer the safety factor of each component into a failure probability based on a Weibull distribution, considering material properties. After this step, it is easy to obtain a probability function for the failure of the full system over lifetime.
Abstract
Since a few years, the electrification of the automotive powertrain has led to major technical challenges. Among them the proof of reliability for an eDrive system is a key requirement addressed by Valeo through a dedicated methodology. The most important criteria for the design of a complete eDrive system is a sufficient strength of all components. The permissible stress is determined based on a failure probability of the material strength value determined during the measurement of the S-N curve. In drivetrain, example gear strength is expressed in safety factors for bending, contact etc, and bearing strength are expressed in life time. In such situations, how to identify the eDrive system is safe, also the inherent failure of probability of the methods for different components varies. This paper presents a method to transfer the safety factor of each component into a failure probability based on a Weibull distribution, taking material properties into account. After this step it is easy to obtain a probability function for the failure of the full system over lifetime.
Session
Room | Date | Hour | Subject |
---|---|---|---|
Poster Session | 00:00-00:00 | Karthik Krishnasamy 25 - System Reliability - eDrive |