AI supported road vehicle suspension design
| Reference number | |
| Coordinator | Volvo Personvagnar AB - 93833 Suspension Architecture |
| Funding from Vinnova | SEK 6 785 424 |
| Project duration | December 2020 - September 2025 |
| Status | Completed |
| Venture | Electronics, software and communication - FFI |
| Call | Electronics, Software and Communication - FFI - June 2020 |
Important results from the project
Yes, and better results than expected. All goals were met and in terms of requirement breakdown of Full Vehicle Requirements, expectations were exceeded. The use of AI was adjusted during the course of the project, and thus contributed to exceeded results. We have also built up contacts and cooperation with academia in Germany.
Expected long term effects
Faster product development and better competitiveness, both in terms of performance and cost, and improved opportunities to attract competent personnel.
Approach and implementation
* Good plan in application, right activities, and more content achieved within time * Original plan for AI was replaced well with conventional algorithms * So AI was successfully tested for complex full vehicle requirements cascading * Good collaboration with Chalmers, FKFS Stuttgart, VCC Vehicle Dynamics and RISE (although new AI track ended up outside RISE´s area and initiated publications were not finished) * We missed Volvo Group, but future course content at Chalmers should be able to help