EPE Association: EPE 2023 - DS2j: Electric Drive Trains for Aerospace Applications (Aircrafts, Drones)

EPE 2023 - DS2j: Electric Drive Trains for Aerospace Applications (Aircrafts, Drones)
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2023 ECCE Europe - Conference > EPE 2023 - Topic 08: Electric Vehicle Propulsion Systems and their Energy Storage > EPE 2023 - DS2j: Electric Drive Trains for Aerospace Applications (Aircrafts, Drones)

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   Experimental Verification of Short-Circuit Detection and Thyristor-Based Circuit Shut-Off in Permanent Magnet Synchronous Generators
By Tomoki ASAI, Yukio KANEDA, Yuki SHIMIZU, Takumi SODA, Takuya UCHIKAWA, Hiroki SUGAWARA, Toshikazu KOBAYASHI, Yoshitaka KAWABATA [View]
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Abstract: High-output permanent magnet-type synchronous generators are used in aircraft electrification. However, these generators are at risk of overcurrents leading to dielectric breakdown, short circuits, and ignition. This paper proposes a short-circuit detection method and reports its usefulness in 20-kW system experiments.

   Impedance Modelling and Simulation of Variable Frequency AC Three-Stage Generator for More-Electric Aircraft
By Zixiao XU, Hongwei ZHAO, Yang QI, Juan C. VASQUEZ, Josep M. GUERRERO, Weilin LI [View]
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Abstract: In this paper, an accurate small-signal impedance model of variable frequency AC three-stage generator (VFAC-TSG) is established, and the terminal characteristic of VFAC-TSG under closed-loop modes is deduced in detail. Some simulations are performed to verify the theoretical correctness. This work is a foundation for future research on VFAC-TSG stability.

   Inverter design for future electrified aircraft propulsion systems under consideration of wear-out failure and random failure
By Yongtao CAO, Leon FAUTH, Ralf Johannes KEUTER, Ariya SANGWONGWANICH, Mateja NOVAK, Frede BLAABJERG, Bernd PONICK, Axel MERTENS [View]
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Abstract: To reduce the wear-out effect and minimize the Single Event Burnout effect of the power semiconductor, several hardware design rules for inverters in electric aircraft propulsion systems are posed and implemented in this work. These strategies include scalable chip area and derated DC-link voltage. It is observed in a short-range reference aircraft case study that these rules could result in a conflict of objectives: reducing the risk of wear-out failure while simultaneously minimizing the risk of random failure. Therefore, it is recommended to consider random failures, wear-out failures, and their mutual impacts in a comprehensive analysis of system reliability. A reliability-oriented design rule is proposed in this work.

   Operation Management of More-Electric Aircraft Using Two-stage Stochastic Model Predictive Control
By Xin WANG, Najmeh BAZMOHAMMADI, JASON ATKIN, Serhiy BOZHKO, Juan C. VASQUEZ, Josep M. GUERRERO [View]
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Abstract: This paper proposes a two-stage stochastic model predictive control (SMPC) for the operation management of more electric aircraft (MEA). The goal is to minimize load shedding and switching activities in the system, considering the uncertainty of load profile, while optimally charging/discharging the battery-based energy storage system (BESS). In addition, several performance evaluation criteria are introduced to evaluate the effectiveness of the proposed approach. According to the results obtained in 50 random scenarios, SMPC leads to less loadshedding time, higher stored energy levels, and lower uncertainty compensation costs compared to its deterministic counterpart.

EPE 2023 - DS2j: Electric Drive Trains for Aerospace Applications (Aircrafts, Drones)
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2023 ECCE Europe - Conference > EPE 2023 - Topic 08: Electric Vehicle Propulsion Systems and their Energy Storage > EPE 2023 - DS2j: Electric Drive Trains for Aerospace Applications (Aircrafts, Drones)
	[return to parent folder]

	Experimental Verification of Short-Circuit Detection and Thyristor-Based Circuit Shut-Off in Permanent Magnet Synchronous Generators By Tomoki ASAI, Yukio KANEDA, Yuki SHIMIZU, Takumi SODA, Takuya UCHIKAWA, Hiroki SUGAWARA, Toshikazu KOBAYASHI, Yoshitaka KAWABATA	[View] [Download]
Abstract: High-output permanent magnet-type synchronous generators are used in aircraft electrification. However, these generators are at risk of overcurrents leading to dielectric breakdown, short circuits, and ignition. This paper proposes a short-circuit detection method and reports its usefulness in 20-kW system experiments.

	Impedance Modelling and Simulation of Variable Frequency AC Three-Stage Generator for More-Electric Aircraft By Zixiao XU, Hongwei ZHAO, Yang QI, Juan C. VASQUEZ, Josep M. GUERRERO, Weilin LI	[View] [Download]
Abstract: In this paper, an accurate small-signal impedance model of variable frequency AC three-stage generator (VFAC-TSG) is established, and the terminal characteristic of VFAC-TSG under closed-loop modes is deduced in detail. Some simulations are performed to verify the theoretical correctness. This work is a foundation for future research on VFAC-TSG stability.

	Inverter design for future electrified aircraft propulsion systems under consideration of wear-out failure and random failure By Yongtao CAO, Leon FAUTH, Ralf Johannes KEUTER, Ariya SANGWONGWANICH, Mateja NOVAK, Frede BLAABJERG, Bernd PONICK, Axel MERTENS	[View] [Download]
Abstract: To reduce the wear-out effect and minimize the Single Event Burnout effect of the power semiconductor, several hardware design rules for inverters in electric aircraft propulsion systems are posed and implemented in this work. These strategies include scalable chip area and derated DC-link voltage. It is observed in a short-range reference aircraft case study that these rules could result in a conflict of objectives: reducing the risk of wear-out failure while simultaneously minimizing the risk of random failure. Therefore, it is recommended to consider random failures, wear-out failures, and their mutual impacts in a comprehensive analysis of system reliability. A reliability-oriented design rule is proposed in this work.

	Operation Management of More-Electric Aircraft Using Two-stage Stochastic Model Predictive Control By Xin WANG, Najmeh BAZMOHAMMADI, JASON ATKIN, Serhiy BOZHKO, Juan C. VASQUEZ, Josep M. GUERRERO	[View] [Download]
Abstract: This paper proposes a two-stage stochastic model predictive control (SMPC) for the operation management of more electric aircraft (MEA). The goal is to minimize load shedding and switching activities in the system, considering the uncertainty of load profile, while optimally charging/discharging the battery-based energy storage system (BESS). In addition, several performance evaluation criteria are introduced to evaluate the effectiveness of the proposed approach. According to the results obtained in 50 random scenarios, SMPC leads to less loadshedding time, higher stored energy levels, and lower uncertainty compensation costs compared to its deterministic counterpart.