EPE Association: EPE 2016 - LS1b: Power Systems for Electric Vehicles

EPE 2016 - LS1b: Power Systems for Electric Vehicles
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2016 ECCE Europe - Conference > EPE 2016 - Topic 08: e-Mobility > EPE 2016 - LS1b: Power Systems for Electric Vehicles

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   Bidirectional Dual Active Bridge Converter using a Tap Changer for Extended Voltage Ranges
By Silvano TARABORRELLI [View]
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Abstract: A bidirectional DC-DC Converter with high voltage gain and wide input and output voltage range is presented. The input voltage range is VBat = 30 V to 60 V and the output voltage range is VDC-link = 100 V to 400 V. The nominal power is PN = 10 kW.

   Loss analysis of Z-source Inverter Using SiC-MOSFET from the Perspective of Current Path in the Short-through Mode
By Ryuji IIJIMA [View]
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Abstract: This paper discusses suitable short-through mode for a Z-source inverter using SiC-MOSFET to achieve high switching frequency operation. The Z-source inverter has short-through mode for boost operation and several control techniques about short-through mode have been discussed from points of device stress and boost ratio; however, loss analysis from perspective of short-through mode implementation has not been studied well, especially in the case of using SiC-MOSFET. Losses with two types of short-through mode and three switching frequencies are investigated experimentally. As a result, it was confirmed that the conduction loss and switching loss of the Z-source inverter can be reduce by employing a 3-leg short through mode.

   Loss Balancing of Three-Level Inverters in Electric Vehicles for Low Speed Operation
By Stephan BRUESKE [View]
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Abstract: The most stressful operation point for the inverter of an electric vehicle drive is at low speed. In thisoperation point, one power semiconductor is mainly stressed because of a high loss concentration. Thepossibilities of distributing the losses among the power semiconductors through a new modulation isstudied for the three-level NPC and the T-Type inverter. The effect of the proposed modulation on thesizing of the power semiconductors is shown by application of the power semiconductor rating. For bothinverter topologies, the presented modulation strategy is veri_ed experimentally.

   Particle swarm optimization of the fuzzy logic controller for a hybrid energy storage system in an electric car
By Marek MICHALCZUK [View]
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Abstract: This paper describes the particle swarm optimization of the fuzzy logic controller for a hybrid energy storage system in an electric vehicle. The Sugeno-type fuzzy inference system has been applied to divide power between the battery and ultracapacitor energy storage systems, as well as to manage the amount of energy stored in ultracapacitors. The two output signals of the described fuzzy logic controller represent power for each energy storage system, and are the weighted sums of all inference rule outputs. The particle swarm optimization has been proposed to determine the weights of rules. A simulation and experimental validation of the power management algorithm is also introduced in this paper.

EPE 2016 - LS1b: Power Systems for Electric Vehicles
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2016 ECCE Europe - Conference > EPE 2016 - Topic 08: e-Mobility > EPE 2016 - LS1b: Power Systems for Electric Vehicles
	[return to parent folder]

	Bidirectional Dual Active Bridge Converter using a Tap Changer for Extended Voltage Ranges By Silvano TARABORRELLI	[View] [Download]
Abstract: A bidirectional DC-DC Converter with high voltage gain and wide input and output voltage range is presented. The input voltage range is VBat = 30 V to 60 V and the output voltage range is VDC-link = 100 V to 400 V. The nominal power is PN = 10 kW.

	Loss analysis of Z-source Inverter Using SiC-MOSFET from the Perspective of Current Path in the Short-through Mode By Ryuji IIJIMA	[View] [Download]
Abstract: This paper discusses suitable short-through mode for a Z-source inverter using SiC-MOSFET to achieve high switching frequency operation. The Z-source inverter has short-through mode for boost operation and several control techniques about short-through mode have been discussed from points of device stress and boost ratio; however, loss analysis from perspective of short-through mode implementation has not been studied well, especially in the case of using SiC-MOSFET. Losses with two types of short-through mode and three switching frequencies are investigated experimentally. As a result, it was confirmed that the conduction loss and switching loss of the Z-source inverter can be reduce by employing a 3-leg short through mode.

	Loss Balancing of Three-Level Inverters in Electric Vehicles for Low Speed Operation By Stephan BRUESKE	[View] [Download]
Abstract: The most stressful operation point for the inverter of an electric vehicle drive is at low speed. In thisoperation point, one power semiconductor is mainly stressed because of a high loss concentration. Thepossibilities of distributing the losses among the power semiconductors through a new modulation isstudied for the three-level NPC and the T-Type inverter. The effect of the proposed modulation on thesizing of the power semiconductors is shown by application of the power semiconductor rating. For bothinverter topologies, the presented modulation strategy is veri_ed experimentally.

	Particle swarm optimization of the fuzzy logic controller for a hybrid energy storage system in an electric car By Marek MICHALCZUK	[View] [Download]
Abstract: This paper describes the particle swarm optimization of the fuzzy logic controller for a hybrid energy storage system in an electric vehicle. The Sugeno-type fuzzy inference system has been applied to divide power between the battery and ultracapacitor energy storage systems, as well as to manage the amount of energy stored in ultracapacitors. The two output signals of the described fuzzy logic controller represent power for each energy storage system, and are the weighted sums of all inference rule outputs. The particle swarm optimization has been proposed to determine the weights of rules. A simulation and experimental validation of the power management algorithm is also introduced in this paper.