Lidé na fakultě
Ing. Dmitrij Rožděstvenský, Ph.D.

2018

In the scope of the Motostudent competition there was created complex project of the whole motorcycle in the category of Electro bikes. Report contains conceptual design, detailed design, prototyping, economical assessemen, industrialproduction plan and technological innovation.

Oponovaná technická zpráva cizojazyčně

2018

In the scope of the Motostudent competition there was created complex project of the whole motorcycle in the category of Petrol bikes. Report contains conceptual design, detailed design, prototyping, economical assessemen, industrialproduction plan and technological innovation.

Oponovaná technická zpráva cizojazyčně

2018, 2018 Smart City Symposium Prague, New York, IEEE Press), ISBN 978-1-5386-5017-2

The aim of this work is to present Real-Time Driver Advisory System (RTDAS) for improving energy economy of Electric Vehicles (EV) and Hybrid Electric Vehicles (HEV). System relies on a road map data provided in accordance with the second version of Advance Driver Assistant Systems Interface Specification (ADASIS v2) Protocol. Road map data is then transformed into Electronic Horizon (EH). The Electronic Horizon provides a preview of the road characteristics ahead of the vehicle, which is used for development of a predictive energy economy algorithms. The system is focused on static characteristics of the road ahead such as road slope, curvature, superelevation, speed limits and the traffic signs. Based on this data and vehicle parameters, the system is using algorithms to define if and when to send a message to the driver to release the gas pedal and to achieve higher energy economy, comfort and safety of driving. The releasing of gas pedal triggers an algorithm to adjust the speed using controlled regenerative braking without using mechanical brakes that leads to optimization of vehicle kinetic energy recuperation.

Stať ve sborníku z prestižní konf.

2017, 2017 Smart Cities Symposium Prague (SCSP) - IEEE PROCEEDINGS, New York, IEEE Press), ISBN 978-1-5386-3825-5

This article states a set of problems associated with Human Machine Interface of future vehicles based on the technological and social trends of modern society. Smart Cities, Connected Cars, and new propulsion systems bring a new set of questions and problems for the HMI studies. This article tries to state these questions based on the history of the development and analysis of the modern in vehicle HMI from three layer Driver Vehicle interaction model. Additionally, future trends and technologies are considered and described.

Stať ve sborníku z prestižní konf.

2017, DRIVE-CAR INTERACTION & SAFETY CONFERENCE, Praha, České vysoké učení technické v Praze), p. 94-98), ISBN 978-80-01-06336-1, ISSN 2336-5382

In this article, we propose a software solution to study HMI of electric and hybrid electric vehicles in vehicle simulators. We will start from the description of a development process of a physical model for HEV simulation in IGNITE software and equation based language Modelica. A short introduction to the language, its possibilities, and explanation, why it is more suitable for the development of such models (vehicle powertrain), are presented in the first part of the article. A fusion mechanism of physical engine with the model by means of FMU (Functional Mock-up Interface) [3] is also described in this part The second part is dedicated to the description of the model constructed in third party software IGNITE. This model has a detailed calculation of energy consumption and energy flow based on the selected control strategy. The last part of the article describes a possible experiment methodology.

Stať ve sborníku z prestižní konf.

2017

This document describes the evaluation of the platform for studying problems associated with HMI for vehicles with alternative propulsion developed as a part of the grand Advanced assisting systems and their UI for future EV and HEV. This evaluation is based on design and analysis of two experiments on interactive vehicle simulator. First experiment deals with the evaluation of user acceptance of the HMI for EV based on the VW eGolf concept, including regenerative braking and second experiment evaluates user acceptance and practical benefit of the Driver Advisory System which aim is to increase EV range by advising driver when to release an acceleration pedal to reduce the speed before next limitation, with heavy usage of regenerative braking. Both subjective and objective data were used to evaluate not only particular experiments but also the platform as a whole.

Výroční zpráva cizojazyčně