Automotive and Heavy-Duty Industries

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White Papers

Uncertainty Quantification and Analytics for the Automotive, Off-Road, and Heavy Equipment Vehicle Industries

The automotive industry is in a state of transition, and innovation must be done faster, with fewer resources, and with more certainty. Traditional methods of design, simulation and test, while well suited to optimizing and ensuring performance under specific conditions, are no longer sufficient. Now, maintaining a competitive edge requires meeting new challenges and solving difficult problems:

Red Sport Car
  • Develop and use simulation capabilities for more design processes or optimization and novel applications such as Uncertainty Quantification while balancing fidelity and speed.
  • Extract meaningful results from complex simulations and analysis with more degrees of freedom, variable dimensions, and heterogeneous data.
  • Create designs that handle variation in materials, manufacturing, and use from drawing board through production.
  • Combine design simulations, prototype tests, manufacturing records, and data from fielded units to derive more value from individual pieces and to create useful constructs such as authoritative truth sources for Digital Twin applications.

SmartUQ Solutions

A heavy-duty vehicle

SmartUQ is a state-of-the art analytics toolset capable of meeting the challenges of the automotive and heavy equipment vehicle industries. With SmartUQ, engineers can rapidly explore design spaces, build emulators (a.k.a., statistical prediction models) and analytics workflows for complex data sets, trace uncertainty through vehicle systems to get probabilistic performance estimates, and quickly and accurately calibrate models to test data:

  • SmartUQ uses cutting edge Design of Experiments (DOE), data sampling, and emulators to map the input-output relationships of the simulation data, significantly reducing the computational burden from computationally expensive simulations. This means faster results for long running simulations like in cylinder combustion CFD and the ability to get more value from existing simulations and data.
  • Using advanced statistics and machine learning techniques, SmartUQ can extract information from a wide variety of complex simulations and analysis. From building functional emulators to model engine transients to mixing continuous and categorical data from different engine or vehicle operating modes, SmartUQ has engineer ready tools.
  • With breakthrough tools for handling variability and uncertainty across vehicle design disciplines, SmartUQ dramatically reduces the effort required to account for the full range of variation in materials, manufacturing, and usage when designing new vehicles or seeking to understand existing systems.
  • Advanced emulation tools for handling multi-source or multi-fidelity data and statistical calibration tools for grounding simulations and models with test or field data allow SmartUQ to integrate information from across a product’s lifecycle. This is critical for tasks like engine model calibration and validation, component failure model update, and vehicle system digital twin construction.

Summary

SmartUQ has a complete suite of design of experiments, data sampling, emulation methods, and analytical tools to support the analytics needs of engineers in automotive and heavy equipment industries. To learn more about analytics for automotive, off-road, and heavy-duty vehicles industries, check out SmartUQ white papers and webinars