A new generation of algorithms for modern powertrain control
| Reference number | |
| Coordinator | Volvo Personvagnar AB |
| Funding from Vinnova | SEK 4 209 250 |
| Project duration | September 2018 - November 2023 |
| Status | Completed |
| Venture | Electronics, software and communication - FFI |
| Call | 2016-05460-en |
| End-of-project report | 2017-05506engelska.pdf (pdf, 198 kB) |
Important results from the project
The project aimed to develop and implement advanced model-based optimal control strategies suitable for production vehicle electronics hardware. The strategic goals were to increase energy efficiency, reduce control design and calibration costs, and utilize cloud connectivity. Due to changes in Volvo´s product plan, no real implementations were made, but the focus changed to implementing the developed algorithms in high-fidelity simulation environments.
Expected long term effects
The project has achieved the majority of the goals, and outcomes are: - The development and implementation of a supervisory control structure, explicitly including predictive capabilities of the on-board sensors. - Development of algorithms tailored to the requirements of production type ECUs. - Creation of know-how within industry and academia on which optimal-control problems can be solved in vehicles. - Implementation and demonstration of the resulting controller in high-fidelity vehicle control simulation environment. - Doctoral theses at Chalmers planned during 2024.
Approach and implementation
Project has been conducted as an industrial doctoral project and carried out in collaboration between Volvo Car Corporation (VCC) and Chalmers technical university college. VCC has contributed project management, engineering time and expertise in software design for real-time implementation. Chalmers has contributed with academic supervision of the doctoral student, extensive expertise in rule theory and rule design, as well as algorithm development for real-time implementation.