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Summary & Details

Automotive Engineering-Centric Agentic AI Workflow Framework

Delivery: Available on this site

Format: PDF

Price: Non-members (tax incl.)：￥1,100 Members (tax incl.)：￥880

Publication code: 20265085

Paper/Info type: Proceedings (Spring)

No.19-26

Pages: 1-8(Total 8 p)

Date of publication: May 2026

Publisher: JSAE

Language: English

Event: 2026 JSAE Annual Congress (Spring)

Detailed Information

Author(J)	1) Tong Duy Son, 2) Zhihao Liu, 3) Piero Brigida, 4) Yerlan Akhmetov, 5) Gurudevan Devarajan, 6) Kai Liu, 7) Ajinkya Bhave
Author(E)	1) Tong Duy Son, 2) Zhihao Liu, 3) Piero Brigida, 4) Yerlan Akhmetov, 5) Gurudevan Devarajan, 6) Kai Liu, 7) Ajinkya Bhave
Affiliation(J)	1) Siemens Digital Industries Software, 2) Siemens Digital Industries Software, 3) Siemens Digital Industries Software, 4) Siemens Digital Industries Software, 5) Siemens Digital Industries Software, 6) Siemens Digital Industries Software, 7) Siemens Digital Industries Software
Affiliation(E)	1) Siemens Digital Industries Software, 2) Siemens Digital Industries Software, 3) Siemens Digital Industries Software, 4) Siemens Digital Industries Software, 5) Siemens Digital Industries Software, 6) Siemens Digital Industries Software, 7) Siemens Digital Industries Software
Abstract(E)	AI Agents based on foundation models have potential to support automotive engineers in model-based design development. We present an industrial Copilot ecosystem with orchestrator and specialized agents managing complex automotive tasks. Engineers specify design requirements; agents coordinate 1D-3D simulations, CFD, ROM AI models, and design exploration tools. Moreover, AI agents could leverage historical data, requirements, codes, simulation configurations and test data analysis scripts. Our technologies enhance trustworthiness through engineer-centric design with feedback loops. Results demonstrate faster workflows, seamless integration across CAD-CFD tools, optimization, and human-AI collaboration for automotive applications.

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