EPE Association: EPE 2022 - LS7e: E-Mobility: Charging Systems and Battery Issues

EPE 2022 - LS7e: E-Mobility: Charging Systems and Battery Issues
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2022 ECCE Europe - Conference > EPE 2022 - Topic 08: Electric Vehicle Propulsion Systems and their Energy Storage > EPE 2022 - LS7e: E-Mobility: Charging Systems and Battery Issues

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   A 30 kW Dynamic Wireless Inductive Charging System for EVs
By Zariff MEIRA GOMES [View]
[Download]

Abstract: This paper presents a solution for real-time charging of electric vehicles along the road while moving. This is called the Dynamic Wireless Inductive Charging System (DWICS) and can mitigate the cost of the charging infrastructure, the size/weight/cost of batteries, and hence improve the cost and range of electric vehicles. This solution has the advantage of creating a common road infrastructure shared by cars, buses and trucks and presenting a high energy efficiency. In this work, a 30kW DWICS for electric vehicles is presented with an efficiency up to 90\%. It is developed the overall scheme, its mathematical model, control scheme, simulations, and experiments, showing this solution is viable for future electric roads.

   Autonomous Characterization of Lithium-Ion Battery Model Parameters utilizing a Mathematical Optimization Methodology
By Galo Daniel ASTUDILLO HERAS [View]
[Download]

Abstract: Kalman filtering is commonly used for state-of-charge (SOC) estimation for lithium-ion (Li-ion)batteries owing to its simplicity, computational efficiency, and relatively precise results. However,kalman filters depend on the Li-ion battery model. Several laboratory tests such as incremental cur-rent and dynamic stress tests are required to determine battery model parameters in model-based SOCestimation. These tests such as incremental current test and dynamic stress test are time-consumingand can take multiple days. A mathematical optimization along with a battery test method, whichdoes not need rest time for battery, are adopted to reduce the battery parameter identification time,drastically. A mathematical optimization stage is embedded prior to Kalman Filter based SOC esti-mation computing the battery open circuit voltage (OCV) and as well as an initial guess of the RCparameters of the battery equivalent circuit. Therefore, it reduces the required number of tests toone. Extensive numerical studies on a 2 Ah Lithium-ion cell verify the effectiveness of the proposedmethod by achieving a RMS error less than one percent.

   Comparative Study of Single-phase and Three-phase DAB for EV Charging Application
By Nicola BLASUTTIGH [View]
[Download]

Abstract: Bidirectional converters enable vehicle-to-grid (V2G) operations in electric vehicle (EV) charging stations. In this context, dual-active bridge (DAB) DC-DC converter is a preferable solution due to galvanic isolation and reduced volumes compared to other systems. Single-phase DAB (1ph-DAB) andthree-phase DAB (3ph-DAB) topologies are usually compared in terms of efficiency and performanceswith the same rated power. Conversely, this paper focus on a comparison concerning device losses and stresses, medium-frequency transformer (MFT) design and capacitor filter sizing for the same power per switch, considering DABs and batteries coupled in a V2G application. Thereby, the impact of the battery state-of-charge (SoC) variation relative to the grid-side DC voltage is studied. Theoretical analysis and simulations results reveal that, in some respects, 1ph-DAB performance is superior to that of the 3ph-DAB with the proposed comparison approach. While, the main advantage of 3ph-DAB over 1ph-DAB is the reduced size of filter capacitors.

EPE 2022 - LS7e: E-Mobility: Charging Systems and Battery Issues
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2022 ECCE Europe - Conference > EPE 2022 - Topic 08: Electric Vehicle Propulsion Systems and their Energy Storage > EPE 2022 - LS7e: E-Mobility: Charging Systems and Battery Issues
	[return to parent folder]

	A 30 kW Dynamic Wireless Inductive Charging System for EVs By Zariff MEIRA GOMES	[View] [Download]
Abstract: This paper presents a solution for real-time charging of electric vehicles along the road while moving. This is called the Dynamic Wireless Inductive Charging System (DWICS) and can mitigate the cost of the charging infrastructure, the size/weight/cost of batteries, and hence improve the cost and range of electric vehicles. This solution has the advantage of creating a common road infrastructure shared by cars, buses and trucks and presenting a high energy efficiency. In this work, a 30kW DWICS for electric vehicles is presented with an efficiency up to 90\%. It is developed the overall scheme, its mathematical model, control scheme, simulations, and experiments, showing this solution is viable for future electric roads.

	Autonomous Characterization of Lithium-Ion Battery Model Parameters utilizing a Mathematical Optimization Methodology By Galo Daniel ASTUDILLO HERAS	[View] [Download]
Abstract: Kalman filtering is commonly used for state-of-charge (SOC) estimation for lithium-ion (Li-ion)batteries owing to its simplicity, computational efficiency, and relatively precise results. However,kalman filters depend on the Li-ion battery model. Several laboratory tests such as incremental cur-rent and dynamic stress tests are required to determine battery model parameters in model-based SOCestimation. These tests such as incremental current test and dynamic stress test are time-consumingand can take multiple days. A mathematical optimization along with a battery test method, whichdoes not need rest time for battery, are adopted to reduce the battery parameter identification time,drastically. A mathematical optimization stage is embedded prior to Kalman Filter based SOC esti-mation computing the battery open circuit voltage (OCV) and as well as an initial guess of the RCparameters of the battery equivalent circuit. Therefore, it reduces the required number of tests toone. Extensive numerical studies on a 2 Ah Lithium-ion cell verify the effectiveness of the proposedmethod by achieving a RMS error less than one percent.

	Comparative Study of Single-phase and Three-phase DAB for EV Charging Application By Nicola BLASUTTIGH	[View] [Download]
Abstract: Bidirectional converters enable vehicle-to-grid (V2G) operations in electric vehicle (EV) charging stations. In this context, dual-active bridge (DAB) DC-DC converter is a preferable solution due to galvanic isolation and reduced volumes compared to other systems. Single-phase DAB (1ph-DAB) andthree-phase DAB (3ph-DAB) topologies are usually compared in terms of efficiency and performanceswith the same rated power. Conversely, this paper focus on a comparison concerning device losses and stresses, medium-frequency transformer (MFT) design and capacitor filter sizing for the same power per switch, considering DABs and batteries coupled in a V2G application. Thereby, the impact of the battery state-of-charge (SoC) variation relative to the grid-side DC voltage is studied. Theoretical analysis and simulations results reveal that, in some respects, 1ph-DAB performance is superior to that of the 3ph-DAB with the proposed comparison approach. While, the main advantage of 3ph-DAB over 1ph-DAB is the reduced size of filter capacitors.