Sensor Cleaning Virtual tool for cleaning performance to maintain availability of AD sensor system

Important results from the project

The aim of the project was to develop a CAE model to predict the cleaning performance of the windscreen wipers, and to develop a mathematical model of the artificial dirt used to evaluate the cleaning systems. The CFD model includes, the complete car with wiper system, wind speed, wiper movement and fluid injection. The method makes it possible to predict the wiper quality, optimize the aerodynamics of the wipers, optimize liquid consumption and optimize liquid distribution on the windscreen.

Expected long term effects

During the development of the CAE model, our knowledge enhance in the technology and method that did not exist or was not mature enough to develop our CAE model. During the project, these methods and technology have been developed and today the technology and the method have been advanced and can be found in the commercial software used during the project. Gained knowledge about dry and wet dust particles, its properties and characteristic impact on glass and vehicle surface. This means that today we have a CAE method that can optimize cleaning performance in vehicles.

Approach and implementation

The project was divided into 7 work packages with clear goals and measurable deliveries. Volvo Cars led the project, and had communication with the partners involved. Chalmers University of Technology focused on literature studies and research on dry and wet dust particles, while FS Dynamics and Volvo Cars worked on developing of the CAE method. With continuous communication and meetings we were able to solve the issues that arose during the project implementation. By having master thesis and scientific publications, the project was able to share the knowledge that was developed.