A new generation of algorithms for modern powertrain control

Purpose and goal

The control systems in future vehicles need to be able to adapt its behaviour dynamically depending on driving situation, to ensure minimal energy consumption and to meet the expectations of the users. To reach these targets, the control strategies need to proactively act on predictions of the driving mission, requiring efficient control methods utilizing this information. This project will develop new concepts for powertrain control, based on model-based optimal control algorithms tailored for deployment on the limited computer architectures available in the vehicle industry

Expected results and effects

Development and implementation of a model-based supervisory control structure, explicitly including predictive capabilities of both the on-board sensors and cloud. Development of tailored algorithms to the requirements of production type ECUs. Creation of know-how which problems can be solved in vehicles. Implementation and demonstration of resulting controller in vehicle and/or HIL tests. Licentiate and doctoral theses at Chalmers as well as scientific publications in journals as well as conferences.

Planned approach and implementation

This is a joint project between Volvo Car Corporation (VCC) and Chalmers University of Technology. The project will be performed as an industrial PhD project, with a PhD student employed by VCC. In the project Volvo Cars will also provide project management, test facilities and equipment as well as engineer time and expertise in software creation for real-time implementation and testing. Chalmers will provide academic supervision of the PhD student and extensive experience in control theory and controller design, as well as algorithmic development for real-time implementation.