Simulation and hardware implementation of novel controller in electric vehicle applications to improve system efficiency

• Autorzy: Begum Shaik Ruksana , Burthi Loveswara Rao , Depuru Shobha Rani

Identyfikatory

DOI

10.15199/48.2024.08.42

Warianty tytułu

PL

Symulacja i implementacja sprzętowa nowatorskiego sterownika w zastosowaniach pojazdów elektrycznych w celu poprawy wydajności systemu

• Języki publikacji: EN

Abstrakty

EN

Control techniques were essential to use converters to get the desired power and performance in electric vehicles' propulsion systems. To obtain a quicker transient response than that of other existing controllers, a novel controller DC-DC boost converter with Adaptive Neuro-Fuzzy rules that feds BLDCM (Brush Less Direct Current Motor) simulated and hardware designed to be robust and to have a steady-state response in electric propulsion of electric vehicles has been simulated and hardware implementation also done in this work. The MOSFET (Metal-Oxide-Semiconductor Fed-Effect Transistor) used in the proposed controller acts like a switch to determine operational mode. The proposed controllers’ performance analysis was carried out with that of output voltage, components and number of switches used, electromagnetic torque, reliability, and system cost. The converter output voltage is controlled by the proposed ANF-SM controller as per the required speed in EV. As per the results with simulation and hardware implementation waveform results, the results of simulation and hardware implementation inferred that the proposed controller functions well with input and under different loaded conditions when compared to other traditional controllers. In a comparative analysis, the proposed non-linear boost converter was better than that of other existing controllers. It can be concluded that non-linear control with DC-DC boost-converters fed with the BLDC motor was more suitable for electric propulsion of electric vehicles.

PL

Techniki sterowania były niezbędne do wykorzystania przetwornic w celu uzyskania pożądanej mocy i wydajności w układach napędowych pojazdów elektrycznych. Aby uzyskać szybszą reakcję na stany przejściowe niż w przypadku innych istniejących sterowników, zastosowano nowatorski konwerter podwyższający DC-DC sterownika z adaptacyjnymi regułami Neuro-Fuzzy który zasila symulację BLDCM (brush less direct current motor) oraz sprzęt zaprojektowany tak, aby był solidny i zapewniał stałą reakcję w napędzie elektrycznym pojazdów elektrycznych, a w ramach tej pracy przeprowadzono również implementację sprzętu. MOSFET (tranzystor z efektem metalowo-tlenkowo półprzewodnikowym) zastosowany w proponowanym sterowniku działa jak przełącznik określający tryb pracy. Analizę wydajności proponowanych sterowników przeprowadzono z uwzględnieniem napięcia wyjściowego, komponentów i liczby zastosowanych przełączników, momentu elektromagnetycznego, niezawodności i kosztu systemu. Napięcie wyjściowe przetwornicy jest kontrolowane przez proponowany sterownik ANF-SM w zależności od wymaganej prędkości w EV. Zgodnie z wynikami symulacji i wynikami przebiegów implementacji sprzętu, z wyników symulacji i implementacji sprzętu wynika, że proponowany sterownik działa dobrze z wejściem i przy różnych warunkach obciążenia w porównaniu z innymi tradycyjnymi sterownikami. W analizie porównawczej zaproponowany nieliniowy konwerter podwyższający okazał się lepszy od innych istniejących sterowników. Można stwierdzić, że w przypadku elektrycznego napędu pojazdów elektrycznych bardziej odpowiednie było sterowanie nieliniowe za pomocą przetwornic podwyższających napięcie DC-DC zasilanych silnikiem BLDC.

Słowa kluczowe

EN

full bridge DC-DC boost-converter; PMBLDCM motor; ANF-SMC controller; MOSFET switch; non-linear boost-converter

PL

pełnomostkowy konwerter podwyższający DC-DC; silnik PMBLDCM; kontroler ANF-SMC; przełącznik MOSFET

• Wydawca: Wydawnictwo SIGMA-NOT
• Czasopismo: Przegląd Elektrotechniczny
• Rocznik: 2024
• Tom: R. 100, nr 8
• Strony: 201--209
• Opis fizyczny: Bibliogr. 25 poz., rys., tab.

Twórcy

autor

Begum Shaik Ruksana

• Koneru Lakshmaiah Education Foundation
• Institute of Aeronautical Engineering

• https://orcid.org/0000-0001-5161-4086

autor

Burthi Loveswara Rao

• Koneru Lakshmaiah Education Foundation

• https://orcid.org/0000-0002-1094-2208

autor

Depuru Shobha Rani

• Institute of Aeronautical Engineering

• https://orcid.org/0000-0001-8235-9671

Bibliografia

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Uwagi

Opracowanie rekordu ze środków MNiSW, umowa nr POPUL/SP/0154/2024/02 w ramach programu "Społeczna odpowiedzialność nauki II" - moduł: Popularyzacja nauki i promocja sportu (2025).