Cílem práce byl návrh a implementace řídicích algoritmů pro optimalizaci spotřeby energie elektrického vozidla. Hlavním úkolem byla optimalizace rozložení energie mezi hlavním zdrojem energie (bateriemi) a super-kapacitory v průběhu jízdního cyklu. Jízdní výkonový profil je odhadován a předpovězen na základě 3D geografických souřadnic a matematického modelu vozidla. V první části jsou uvedeny komponenty vozidla a jejich modely. Poté jsou představeny algoritmy na základě klouzavého průměru a dynamického programování. Byly provedeny simulace a analýzy pro demostraci přínosů algoritmů. V poslední části je popsána Java implementace algoritmů a také aplikace pro operační systém Android.

This master’s thesis is about optimal route planning for electric vehicles. The first, theoretical part of this work introduces the issue and describes several heuristic methods that have been used to address optimization tasks. A practical part of the thesis is based around software implementation of the methods described earlier. Finally, several experiments and comparisons of obtained results are carried out.

The topic of this diploma thesis is a traction drive of electrocar with fuel cell. The drive is supplied with hydrogen fuel cell with power of 2 kW. The traction drive consists of the three-phase DC/AC converter and the asynchronous machine. The main part of this work is a creation of the mathematical model of the traction drive in program Matlab–Simulink.

The topic of this diploma thesis is mathematical model of electric vehicle. The traction drive consists of Li-Ion battery, free-phase DC/AC converter and permanent magnet synchronous machine. The main goal of the thesis is development of function model and making simulations in SIMULINK/SIMSCAPE program. Work is divided into three main parts. The first part is dedicated to the theoretical description of the main drive components. The second part describes partial subsystems of the model. In the last part is build a complete model of electric vehicle and simulated different driving mode.

Cílem práce byl návrh a implementace řídicích algoritmů pro optimalizaci spotřeby energie elektrického vozidla. Hlavním úkolem byla optimalizace rozložení energie mezi hlavním zdrojem energie (bateriemi) a super-kapacitory v průběhu jízdního cyklu. Jízdní výkonový profil je odhadován a předpovězen na základě 3D geografických souřadnic a matematického modelu vozidla. V první části jsou uvedeny komponenty vozidla a jejich modely. Poté jsou představeny algoritmy na základě klouzavého průměru a dynamického programování. Byly provedeny simulace a analýzy pro demostraci přínosů algoritmů. V poslední části je popsána Java implementace algoritmů a také aplikace pro operační systém Android.

This master thesis summarizes history of electric vehicles from its inception to present. Vehicles are divided into three groups according to the type of drive, special attention is paid to electric vehicles. Furthermore, typical ways of electric energy storage are presented, especially in the form of electrochemical cells, which are used in electric vehicles. The thesis also describes the situation of electromobility in the Czech Republic, namely government support, distribution companies tariffs, charging infrastructure and available electric vehicles. Finally, the concept of connecting electric vehicles to renewable energy source is described, with financial calculations for three profiled drivers.

In this work is processed a survey of perspective alternative drives in motor vehicles. There are main characteristic for each mentioned drive, their advantages and disadvantages and problems associated with their use in vehicles. The work is aimed at gas engines, electro mobiles, hybrid drives and hydrogen, therefore the most likely drives the future.

Design, electric vehicle, city mobility, batteries, electricity

This master thesis deals with use grid-off photovoltaic system for recharging electric vehicle. First is explained the principle of converting solar energy into electric energy and theoretically describes the components of the system. Furthermore, is presented a real application of the photovoltaic power plants in the world for recharging electric vehicles but also for other uses. The next section theoretically describes the grid-off system how it shout look like in real and there are presented the possibilities of choice of components. The main part is the actual construction of the grid-off system for recharging electric vehicle and measurement. The conclusion of this thesis is made up for the expected economic recovery of the entire system.

The thesis is focused on consumer behavior in relation to electric vehicles. In the beginning, the issue of alternatively fuelled vehicle is briefly introduced, including the explanation how this product is supported by the European Union. The next part is devoted to the theoretical background applied in the work. After the theoretical part, there is the literature review followed by both, the qualitative and the quantitative investigation. The results obtained were compared with the results stemming from international research projects. In accordance with the Theory of Diffusion of Innovations, the participants of qualitative survey were labelled as innovators or early adopters, for whom technical knowledge is more important. But on the other hand, for later adopters, the interpersonal relationship is more important, as they can compensate the lack of technical knowledge this way. As follows from the results of qualitative survey, decision-making connected with the acquisition of electric vehicles is influenced by the overall awareness (or knowledge, experience), then by technical characteristics of the purchase together with economic factors and by the perceived expectations of other people. Most of participants have some knowledge about electric vehicles. They often mention barriers preventing...