TyreOpt - Fuel consumption reduction by tyre drag optimization

The main goal of this project is to reduce the fuel consumption of heavy trucks by optimizing the tyre drag, which can be represented by a complex function of which only limited knowledge exists. In the project, the influence of different factors influencing the tyre drag, such as, e.g., rolling resistance, will be characterized and the corresponding function will be mathematically modelled. This function will then be optimized using mathematical optimization methods, while simultaneously balancing other tyre-dependent criteria such as handling properties, traction, tyre wear, and ride comfort. The optimization model possesses a simulation-based objective function and categorical variables representing the tyres. Hence, the development of a tractable optimization algorithm is challenging.

Participants

Ann-Brith Strömberg (contact)

Biträdande professor vid Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Bengt J H Jacobson

Professor vid Chalmers, Mechanics and Maritime Sciences, Vehicle Engineering and Autonomous Systems

Zuzana Nedelkova

Doktorand vid Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Michael Patriksson

Professor vid Chalmers, Mathematical Sciences, Applied Mathematics and Statistics

Collaborations

Volvo Technology

Gothenburg, Sweden

Funding

Swedish Energy Agency

Funding years 2012–2015

Related Areas of Advance and Infrastructure

Sustainable development

Driving Forces

Transport

Areas of Advance

Energy

Areas of Advance

Basic sciences

Roots

More information

Project Web Page at Chalmers

http://www.chalmers.se/en/projects/Pages/T...

Latest update

2015-11-12