TY - GEN
T1 - Simulation Analysis of PI and Fuzzy Controller for Dynamic Wireless Charging of Electric Vehicle
AU - Smagulova, Altynay
AU - Lu, Maxim
AU - Darabi, Ahmad
AU - Bagheri, Mehdi
N1 - Funding Information:
The work was supported in part by the Program-Targeted Funding of the Ministry of Education and Science of the Republic of Kazakhstan through the Innovative Materials and Systems for Energy Conversion and Storage for 2018–2020 under Grant BR05236524.
PY - 2020/6
Y1 - 2020/6
N2 - Power pulsations are one of the factors that impede the adoption of electric vehicles (EVs) equipped with dynamic wireless power transfer (WPT) systems. The unstable output voltage, current and power parameters, which are common for such systems, can be mitigated by incorporating a DC-DC converter and a controller into the system. The given manuscript analyzes the performance of the Proportional-Integral (PI) feedback controller and a Fuzzy controller, which are utilized to manage the output of the Buck-Boost converter of the wireless charging systems for EVs. The dynamic WPT system under consideration is simulated using a graphical programming environment. It was revealed that both controllers significantly reduce the power pulsation. However, PI controller reduces the power pulsation ratio from 40% to almost 0% after 0.45 s, whereas Fuzzy controller decreases the power pulsation ratio from 40% to nearly 5% after 0.09 s.
AB - Power pulsations are one of the factors that impede the adoption of electric vehicles (EVs) equipped with dynamic wireless power transfer (WPT) systems. The unstable output voltage, current and power parameters, which are common for such systems, can be mitigated by incorporating a DC-DC converter and a controller into the system. The given manuscript analyzes the performance of the Proportional-Integral (PI) feedback controller and a Fuzzy controller, which are utilized to manage the output of the Buck-Boost converter of the wireless charging systems for EVs. The dynamic WPT system under consideration is simulated using a graphical programming environment. It was revealed that both controllers significantly reduce the power pulsation. However, PI controller reduces the power pulsation ratio from 40% to almost 0% after 0.45 s, whereas Fuzzy controller decreases the power pulsation ratio from 40% to nearly 5% after 0.09 s.
KW - dynamic wireless charging (DWC)
KW - electric vehicle (EV)
KW - pulsation
KW - Wireless power transfer (WPT)
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U2 - 10.1109/EEEIC/ICPSEurope49358.2020.9160851
DO - 10.1109/EEEIC/ICPSEurope49358.2020.9160851
M3 - Conference contribution
AN - SCOPUS:85090414789
T3 - Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
BT - Proceedings - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
A2 - Leonowicz, Zhigniew
PB - Institute of Electrical and Electronics Engineers Inc.
T2 - 2020 IEEE International Conference on Environment and Electrical Engineering and 2020 IEEE Industrial and Commercial Power Systems Europe, EEEIC / I and CPS Europe 2020
Y2 - 9 June 2020 through 12 June 2020
ER -