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The use of soft computing as support for business decision-making
Pekárek, Jan ; Jašek, Roman (referee) ; Lenort, Radim (referee) ; Zinecker, Marek (referee) ; Dostál, Petr (advisor)
The presented dissertation deals with the problem of deploying the charging infrastructure for electric vehicles in the Czech Republic. The core of the thesis is a mathematical optimization model, which is implemented in the language of MATLAB computing software. The model consists of several sub-units representing separate models of studied sub-problems. The individual chapters of the work describe successively these sub models. The sub models are: demand model of the charging service, model of charging supply, charging simulator model, optimization model and its resolving optimization method. The optimization model is accelerated by parallelization on the graphics card. The optimization method is designed as a case-specific implementation of genetic algorithms on a population of tree-structured individuals. The final chapter deals with an economic aspect of the problem under consideration, the implications of the findings and the role that the optimization model plays in the context under consideration. The main benefit of the work lies in the formulation of the problem as a mathematical model, the accompanying analyses and the provided justifications. Any user with updated data can then use this work along with the attached scripts to find answers to questions about the relationship between electromobility and the charging infrastructure.
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Electric vehicle charging solutions in apartment complexes
Machajdík, Marek ; Poulíček, Matěj (referee) ; Štětina, Josef (advisor)
In the work, public charging stations are classified, their description is given, and is added information about the compatibility of charging stations with current electric cars. Information of individual electric car charging using wallboxes is summarized and their characteristic features and power limits are listed. Considerable attention is paid to V2B technology and the possibilities of charging electric cars in multi-unit apartment buildings with their own parking space. The work will also include a file used to calculate a suitable solution for charging electric cars in an apartment building. The final part of the work is devoted to the solution of charging electric cars for a specific apartment building using the created calculation file.
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The electromobile charging standards overview
Novák, Michal ; Toman, Marek (referee) ; Červinka, Dalibor (advisor)
In this bachelor´s thesis is performed literary research on the topic of charging standards in the area of electric vehicle charging. The work presents the historical standards appearing at the beginning of the development of electric vehicles and their subsequent development. The main part of bachelor´s thesis is the division of charging standards into categories according to the IEC 62196 standard, the division according to the method of charging and the specialized standardized connectors and sockets used. The principle of communication and required hardware during AC charging and DC charging is also described.
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The use of soft computing as support for business decision-making
Pekárek, Jan ; Jašek, Roman (referee) ; Lenort, Radim (referee) ; Zinecker, Marek (referee) ; Dostál, Petr (advisor)
The presented dissertation deals with the problem of deploying the charging infrastructure for electric vehicles in the Czech Republic. The core of the thesis is a mathematical optimization model, which is implemented in the language of MATLAB computing software. The model consists of several sub-units representing separate models of studied sub-problems. The individual chapters of the work describe successively these sub models. The sub models are: demand model of the charging service, model of charging supply, charging simulator model, optimization model and its resolving optimization method. The optimization model is accelerated by parallelization on the graphics card. The optimization method is designed as a case-specific implementation of genetic algorithms on a population of tree-structured individuals. The final chapter deals with an economic aspect of the problem under consideration, the implications of the findings and the role that the optimization model plays in the context under consideration. The main benefit of the work lies in the formulation of the problem as a mathematical model, the accompanying analyses and the provided justifications. Any user with updated data can then use this work along with the attached scripts to find answers to questions about the relationship between electromobility and the charging infrastructure.
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