Mit Daten- und Testmanagement zu Effizienz im HiL-Testprozess

Geburzi, Anne; Stavesand, Jann-Eve

doi:10.1007/s35148-016-0133-y

Cited by 1 publication

(1 citation statement)

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“…The future research focus for validation must consider not only the specimen characteristic (real or virtual) but also the testing equipment like test beds or driving simulators as proper development tools in a consistent toolchain for agile vehicle development. A Product-Lifecycle-Management system (PLM) must utilise knowledge about the HIL system, all models and measurement results [64,146]. Automated failure detection of outlying measurement data assists the validation task as well [138].…”

Section: Opportunities and Threats For Virtual Validation Of Drivabilitymentioning

confidence: 99%

Methods for Virtual Validation of Automotive Powertrain Systems in Terms of Vehicle Drivability—A Systematic Literature Review

2023

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For the last two decades, an extensive transition in automotive X-in-the-loop activities from isolated electronic control units to real-time related, geographically distributed validation tasks has occurred. Benefits are strengthening frontloading, enabling concurrent engineering and reducing prototypes and testing efforts. As a downside, comprehensive system understanding and adequate simulation models must be provided. New technological trends like software-over-the-air-updates denote a continuous validation process even after the start of production. The present review focuses on the virtual validation of vehicle longitudinal dynamics. This exemplary field of application receives more and more attention as electrification of the vehicle powertrain accelerates, and this property directly influences the vehicle DNA. A systematic review process based on the PRISMA workflow has been conducted, focusing on drivabilityrelated powertrain applications. The investigation reveals the following trends: First, increasing complexity of virtualisation methods and models for validation activities influenced by vehicle-to-everything and geographically distributed development. Second, missing standards for virtual validation and proof of representativeness for combined real-virtual testing. In addition, many studies only contemplate the advantages of hardware-in-the-loop-driven development, disregarding crucial limitations and risks for such approaches. In conclusion, there is no longer the question of whether to validate virtually but how to comprehensible realise virtual validation.

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Section: Opportunities and Threats For Virtual Validation Of Drivabilitymentioning

confidence: 99%