Wojciech Skarka

Application of MOKA methodology in generative model creation using CATIA

The paper presents the method of generative model creation in CATIA system. The method covers not only the very process of model creation in CATIA system but also the whole complexity of the process, beginning with knowledge identification and acquisition and finally with explanation system creation that facilitates and justifies the usage of generative model itself. The method, in one of its parts, uses MOKA methodology and in particular its informal knowledge model and knowledge representation for generative model, which is special for CATIA.

Electric Vehicle for the Students’ Shell Eco-Marathon Competition. Design of the Car and Telemetry System

This paper describes the design of a prototype racing car designed for racing Shell Eco-marathon. In particular, the assumptions have been made to the vehicle simulation model used to predict the race strategy. These assumptions are the basis for an integrated methodology for designing racing cars, which provide a three-year development plan of the vehicle. Additionally, there are modular telemetry system, and computer applications for data visualization in the race.

Velocity Planning of an Electric Vehicle Using an Evolutionary Algorithm

This paper presents an approach to planning the driving velocity of an electric vehicle. As an object of study a prototype vehicle Mushellka has been chosen. It was built to take part in the Shell Eco-marathon competition. The competition took place in May 2012 and 2013. The paper presents the results of the determined optimum velocity for the street circuit in Rotterdam. Optimizations were performed using evolutionary algorithms. The objective function was to minimize the energy consumption. The calculations were performed in Matlab Simulink. The paper describes the mathematical modelling of the vehicle, the idea and the method of route planning, as well as the use of a prototype telematic system.

Innovative Control System for High Efficiency Electric Urban Vehicle

Designers faces many problems while designing and constructing prototype of special purpose car and this is what happens in case of high-efficient electric city car named Bytel, which was especially built for Shell eco-marathon competition. Bytel takes part in Urban Electric category and its drive consists of two brushless DC motor (BLDC) mounted directly in wheels. Smart Power team which carries the task comes from the Silesian University of Technology in Gliwice. One of the assignments which required individual approach was the innovative control system of the car and it is the main topic of this article. The core task of the control system is receiving steering signals from the driver, signal processing and sending them to drivers. It is equipped with many additional functions like e.g. visualization, measurement and storage system as well as safety systems. All of these facilities serve the purpose of improving driver’s safety and enable delivery of a lot of data to analyze which has a huge influence on power consumption. The paper shows the whole process of forming the systems from design assumptions, construction to tests in labs.

Model-Based Optimization of Velocity Strategy for Lightweight Electric Racing Cars

The article presents a method for optimizing driving strategies aimed at minimizing energy consumption while driving. The method was developed for the needs of an electric powered racing vehicle built for the purposes of the Shell Eco-marathon (SEM), the most famous and largest race of energy efficient vehicles. Model-based optimization was used to determine the driving strategy. The numerical model was elaborated in Simulink environment, which includes both the electric vehicle model and the environment, i.e., the race track as well as the vehicle environment and the atmospheric conditions. The vehicle model itself includes vehicle dynamic model, numerical model describing issues concerning resistance of rolling tire, resistance of the propulsion system, aerodynamic phenomena, model of the electric motor, and control system. For the purpose of identifying design and functional features of individual subassemblies and components, numerical and stand tests were carried out. The model itself was tested on the research tracks to tune the model and determine the calculation parameters. The evolutionary algorithms, which are available in the MATLAB Global Optimization Toolbox, were used for optimization. In the race conditions, the model was verified during SEM races in Rotterdam where the race vehicle scored the result consistent with the results of simulation calculations. In the following years, the experience gathered by the team gave us the vice Championship in the SEM 2016 in London.

Design Method of ADAS for Urban Electric Vehicle Based on Virtual Prototyping

Since 2012, the Smart Power Team has been actively participating in the Shell Eco-marathon, which is a worldwide competition. From the very beginning, the team has been working to increase driver’s safety on the road by developing Advanced Driver Assistance Systems. This paper presents unique method for designing ADAS systems in order to minimize the costs of the design phase and system implementation and, at the same time, to maximize the positive effect the system has on driver and vehicle safety. The described method is based on using virtual prototyping tool to simulate the system performance in real-life situations. This approach enabled an iterative design process, which resulted in reduction of errors with almost no prototyping and testing costs.

Designing Safety Systems for an Electric Racing Car

An electric vehicle MuSHELLka developed for the 2013 Shell Eco-marathon, has been equipped with active safety systems. Blind Spot Information System, Adaptive Cruise Control and Automatic Crash System. All those systems will ensure more safety to the driver and his competitors. Designs of submitted systems are based on real solutions,used nowadays in cars. Those systems adaptation to our vehicle and race needs was complicated. With the aid of special software PreScan from TASS, which is a computer simulator for advanced driver assistance systems, there were possibilities to design and test safety systems in the specified environment. It is an urban racetrack in Rotterdam, Holland. Also there were capabilities to specify sensors and their properties. The entirety of them together with Matlab/Simulink software have given anopportunity to build and verify selected safety systems.

Multiagent System for Aiding Designing Process

The paper presents knowledge-based engineering system which is based on multiagent system. Apart from this system, a complete process of knowledge processing has been presented—from the identification and knowledge acquisition and its usage in multiagent system, up to application of the results of multiagent system operation directly in CAD systems. The offered concept of knowledge processing comprises computer aiding tools, ontology, record formats and knowledge processing at particular stages.

Problems with designing of unfolding surfaces in the context of generative modelling

This paper is an attempt to deal with problems related to designing of unfolded surfaces in CAx systems. In the paper main problems during a modelling process of such type objects are described. Additionally, some way of how to deal with this task are shown. Authors’ main focus is on using the generative modelling techniques in order to automate the designing process of the unfolded surfaces.

Teleoperated multi-robot group for technical inspections

In this paper, the authors discuss results of the research concerning a group of multitasking mobile robots that use advanced technologies. The main goal of the paper is to illustrate functionality of the robot group, wireless communication and control system based on Wi-Fi standard as well as architectures of the selected subsystems. The developed robots allow aiding humans in accomplishing tasks in an environment that may be dangerous. The group consists of teleoperated robots: a transporting robot, an exploring robot, and small monitoring robots. Teleoperated robots can be used most often as moving sensor devices. The group of robots is capable of monitoring and carrying out measurements of selected physical quantities, which can occur within the territory of any object, and then transmitting the data to the user. Additionally, elaborated exploring robot can survey an area of terrain with visual inspection and take samples of soil.