Optimized Vehicles Based on Customers Usage
Purpose and goal
The overall aim of the project is to develop design criteria optimized on customer segments that can be used in the Volvo product development activities for reduced fuel consumption and environmental impact. For Chalmers, the project means that the expertise built up over many years in applied mathematical statistics are used as support for industry-related development. Additionally developed further terms and consolidates its position in the absolute forefront internationally. The goal of this project is satisfied.
Results and expected effects
The scientific results of the project are reported in Roza Magshood his Lic thesis ´A statistical approach for detecting driving events and evaluating their fatigue damage´. In her thesis she presents a statistical method with ´Hidden Markow Matrix´ to describe curves and maneuvers based on the logged data. Two different methods have been considered to estimate the model parameters. Damage Calculations can be used in design to reduce fuel consumption and environmental impact.
Approach and implementation
Volvo´s role has been to give the project an industrial application. In addition, Volvo has contributed with data collection and knowledge of the parameters that have been relevant to study. Chalmers´ role was to be responsible for implementation of the project and its scientific level. Chalmers along with SP has assisted with skills in mathematical modeling that takes into account the uncertainties and statistical design of experiments as well as supervision of doctoral student. Volvo, Sp and Chalmers has a long tradition of this approach and it has worked very well in this project