Comparison of main control strategies for DC/DC stage of bidirectional vehicle charger

Fatyga, Karol; Zieliński, Dariusz

doi:10.1109/isem.2017.7993585

Cited by 7 publications

(11 citation statements)

References 10 publications

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“…Additionally, the values of phase currents of the BLDC motor were measured during the tests. interference, and forces the constructors of the controller to use in it transistors with a higher rated current, so that they do not suffer thermal and dynamic damage during long-term operation [17].…”

Section: Laboratory Measurements Taken On Real Motorsmentioning

confidence: 99%

“…Errors δ ms and δ mr result in switching the keys of the motor stator winding controller in a suboptimal position of the rotor, which in turn leads to the electromagnetic torque pulsation of the motor, increases the amplitude of its current ( Figure 4) and the noise level of the motor operation. Boosting the amplitude of the current results in an increase in electrical losses and electromagnetic interference, and forces the constructors of the controller to use in it transistors with a higher rated current, so that they do not suffer thermal and dynamic damage during long-term operation [17]. interference, and forces the constructors of the controller to use in it transistors with a higher rated 94 current, so that they do not suffer thermal and dynamic damage during long-term operation [17].…”

mentioning

confidence: 99%

“…Boosting the amplitude of the current results in an increase in electrical losses and electromagnetic interference, and forces the constructors of the controller to use in it transistors with a higher rated current, so that they do not suffer thermal and dynamic damage during long-term operation [17]. interference, and forces the constructors of the controller to use in it transistors with a higher rated 94 current, so that they do not suffer thermal and dynamic damage during long-term operation [17].…”

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confidence: 99%

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Determining the Position of the Brushless DC Motor Rotor

Kolano

2020

Energies

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In brushless direct current (or BLDC) motors with more than one pole pair, the status of standard shaft position sensors assumes the same distribution several times for its full mechanical rotation. As a result, a simple analysis of the signals reflecting their state does not allow any determination of the mechanical position of the shaft of such a machine. This paper presents a new method for determining the mechanical position of a BLDC motor rotor with a number of pole pairs greater than one. In contrast to the methods used so far, it allows us to determine the mechanical position using only the standard position sensors in which most BLDC motors are equipped. The paper describes a method of determining the mechanical position of the rotor by analyzing the distribution of errors resulting from the accuracy proposed by the BLDC motor’s Hall sensor system. Imprecise indications of the rotor position, resulting from the limited accuracy of the production process, offer a possibility of an indirect determination of the rotor’s angular position of such a machine.

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Section: Laboratory Measurements Taken On Real Motorsmentioning

confidence: 99%

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confidence: 99%

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confidence: 99%

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Determining the Position of the Brushless DC Motor Rotor

Kolano

2020

Energies

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“…They are used, among others, in small converters found in mobile phone chargers, through computer power supplies, photovoltaic installations, electric vehicles (EV), EV chargers and large energy storage. At present, micro-photovoltaic installations [17,23], energy storage [27] and electric vehicle chargers [14] process the largest amounts of energy while remaining applications with the most variable load levels [12]. Such characteristics of the converters work require from engineers designing converters to take an un-conventional approach to the subject and to constantly search for the most effective solutions to minimize the burden on the energy system and thus reduce greenhouse gas emissions [29].…”

Section: Introductionmentioning

confidence: 99%

Przegląd Obecnie Wykorzystywanych Izolowanych Przetwornic Prądu Stałego

Dobrzański

2021

IAPGOS

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W artykule przedstawiono przegląd najpopularniejszych topologii izolowanych przetwornic prądu stałego. Zaprezentowane rozwiązaniapodzielone zostały na dwie główne grupy. Pierwsza- jednokierunkowe izolowane przetwornice prądu stałego pozwalające na osiągnięcie miękkiejkomutacji, druga- dwukierunkowe izolowane przetwornice prądu stałego osiągające posiadające możliwość pracy w trybie miękkiego przełączania.Zebrane wyniki badań, symulacji oraz testów poszczególnych rozwiązań przeprowadzanych przy odmiennych założeniach pozwoliły na opracowaniepodsumowania. Sformułowane wnioski mogą definiować kierunek rozwoju przetwornic rezonansowych oraz swoisty punkt wyjścia do dalszych badań nadalgorytmami sterowania jak i poprawą efektywności przetwornic prądu stałego.

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“…Vehicle-to-Grid (V2G) is a technology that enables the mobile supply of electricity at electric car charging points, primarily in the low voltage power networks [4]. It is implemented through a bidirectional energy transfer using an isolated AC/DC converter and a buck-boost DC/DC converter [5].…”

Section: Introductionmentioning

confidence: 99%

The V2G Process With the Predictive Model

Mroczek

Kolodynska

2020

IEEE Access

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The paper proposes using a predictive model to optimize the use of electricity in the V2G (vehicle to grid) service. The novelty of the mechanism as a kind of model predictive control (MPC) is that it seeks an effective way of managing electric energy in an Electric Vehicle (EV). Additionally, it proposes a new method of predicting the electricity consumption which allows the battery of an electric vehicle to reconcile two sides: both the system's and the user's demand will be met at the same time. The model allows for very precise determination of the vehicle's demand for the energy related to the progressive movement, taking into account the parameters characteristic of a given vehicle model, its suspension structure and aerodynamics. In addition, the machine learning algorithm was proposed for the prediction model as a hybrid (offline and online) of supervised learning. As the first part of the research, by using Matlab/Simulink/dSpace software, a prediction of EV energy consumption was created on a selected route at different times of the day (offline data matrix). At the same time, the simulated route was travelled by a BMW i3 EV (online data matrix). Based on the developed machine learning algorithm the results of the electric energy consumption were compared. The research confirms that if the correct mechanism for prediction of energy consumption by the EV is used, it is possible to define the amount of energy needed for a V2G service. The measurement error was obtained at 0.5%. The added value is setting up the EV energy security of customers after the V2G service and a correct WIN-WIN relation between the Low Voltage grid and EV customers' needs.

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Comparison of main control strategies for DC/DC stage of bidirectional vehicle charger

Cited by 7 publications

References 10 publications

Determining the Position of the Brushless DC Motor Rotor

Determining the Position of the Brushless DC Motor Rotor

Przegląd Obecnie Wykorzystywanych Izolowanych Przetwornic Prądu Stałego

The V2G Process With the Predictive Model

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