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    Wyświetlanie 1-3 z 3
    Tytuł:
    Comprehensive forecast of electromobility mid-term development in Poland and its impacts on power system demand
    Autorzy:
    Piotrowski, P.
    Baczyński, D.
    Robak, S.
    Kopyt, M.
    Piekarz, M.
    Polewaczyk, M.
    Powiązania:
    https://bibliotekanauki.pl/articles/200741.pdf
    Data publikacji:
    2020
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    mid-term forecast
    electromobility
    electric vehicle (EV)
    power system demand
    load profile
    Opis:
    This paper discusses three variants of how e-mobility development will affect the Polish Power System. Multivariate forecasts of annual new registrations of electric vehicles for up to seven years are developed. The forecasts use the direct trend trend extrapolation methods,methods based on the deterministic chaos theory, multiple regression models, and the Grey model. The number of electric vehicles in use was determined for 2019‒2025 based on the forecast new registrations. The forecasts were conducted in three variants for the annual electric energy demand in 2019‒2025, using the forecast number of electric vehicles and the forecast annual demand for electric energy excluding e-mobility. Forecasts were conducted in three variants for the daily load profile of power system for winter and summer seasons in the Polish Power system in 2019–2025 based on three variants of the forecast number of electric vehicles and forecast relative daily load profiles.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2020, 68, 4; 697-709
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Study on Effectiveness of Using Column-Oriented Databases in the Processing of Measurement Characteristics of an Electric Vehicle
    Autorzy:
    Czerepicki, Andrzej
    Powiązania:
    https://bibliotekanauki.pl/articles/223980.pdf
    Data publikacji:
    2019
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    electric vehicle
    measurement characteristics
    IT transport systems
    NoSQL database
    pojazd elektryczny
    charakterystyki pomiarowe
    system transportu IT
    baza danych NoSQL
    Opis:
    Electric vehicles are increasingly popular means of transport. One of the most important problems of their operation is to optimize the use of a battery pack. It requires to analyze the operational characteristics of a vehicle in motion, which are stored in a database. If the measurement data are collected from many vehicles, the efficiency of their analysis is important. The objective of this article is to study the possibilities of using modern column-oriented databases in order to increase the efficiency of the analysis of selected operational characteristics of an electric vehicle. The research problem is a comparative analysis of the processing efficiency of selected measurement characteristics of an electric vehicle in relational and column-oriented data structures. Important analytical functions were formulated and recorded in the form of database queries. An experiment consisting in multiple execution of functions packages on various database structures, including a column-oriented one, was carried out. The execution time of packages and the IT system load were collected and analyzed. The analysis of the experiment results allows to conclude that the use of the column-oriented data structures made it possible to shorten the time of executing the functions analyzing the energy consumption by the electric vehicle’s drive system. Depending on the type of the analyzed characteristics of the vehicle and its method of representation in the database, a significant reduction of the analysis time compared to the relational structure was obtained. Also, a decrease in the load on the computer system during data processing on the column-oriented structures was noted. The use of the column-oriented databases in the processing and analysis of measurement operational characteristics of electric vehicles is justified and it can bring measurable effects. It should be considered that the effectiveness of solving depends on the number of the analyzed characteristics and the format of their representation in the computer.
    Źródło:
    Archives of Transport; 2019, 51, 3; 77-84
    0866-9546
    2300-8830
    Pojawia się w:
    Archives of Transport
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
    Tytuł:
    Decoupling control for permanent magnet in-wheel motor using internal model control based on back-propagation neural network inverse system
    Autorzy:
    Li, Y.
    Zhang, B.
    Xu, X.
    Powiązania:
    https://bibliotekanauki.pl/articles/200933.pdf
    Data publikacji:
    2018
    Wydawca:
    Polska Akademia Nauk. Czytelnia Czasopism PAN
    Tematy:
    electric vehicle
    permanent magnet in-wheel motor
    back-propagation neural network
    inverse system
    internal model control
    pojazd elektryczny
    silnik z napędem na magnesy stałe
    inwersja systemu
    propagacja wsteczna
    model odwrotny
    system odwrotny
    Opis:
    The permanent magnet in-wheel motor (PMIWM) is a nonlinear, multivariable, strongly coupled and highly complex system. The key to the development and application of the PMIWM consists in the improvement of its control accuracy and dynamic performance. In order to effectively decouple the PMIWM, this paper presents a novel internal model control (IMC) approach based on the back-propagation neural network inverse (BPNNI) control method. First, theoretical analysis is conducted to show the existence of the PMIWM inverse system, to be modeled mathematically. The inverse system approximated and identified by the back-propagation neural network (BPNN) constitutes the back-propagation neural network inverse (BPNNI) system. Then, by cascading the BPNNI system on the left side of the original PMIWM system, a new decoupling, pseudo-linear system is established. Moreover, the 2-DOF internal model control (IMC) method is employed to design the extra closed-loop controller that further improves disturbance rejection and robustness of the whole system. Consequently, the proposed decoupling control approach incorporates the advantages of both the BPNNI and the IMC. Effectiveness of thus proposed control approach is verified by means of simulation and real-time hardware-in-the-loop (HIL) experiments.
    Źródło:
    Bulletin of the Polish Academy of Sciences. Technical Sciences; 2018, 66, 6; 961-972
    0239-7528
    Pojawia się w:
    Bulletin of the Polish Academy of Sciences. Technical Sciences
    Dostawca treści:
    Biblioteka Nauki
    Artykuł
      Wyświetlanie 1-3 z 3

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