EPE Association: EPE 2023 - DS1k: Energy Storage Systems for Renewable Energy

EPE 2023 - DS1k: Energy Storage Systems for Renewable Energy
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2023 ECCE Europe - Conference > EPE 2023 - Topic 06: Grids, Smart Grids, AC & DC > EPE 2023 - DS1k: Energy Storage Systems for Renewable Energy

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   A Charging Current Ripple Suppression Strategy for Three-phase Power Conversion System Based on DC-side Harmonic Current Compensation
By Yiran CHEN, Min CHEN, Haoqing CAI, Changsheng HU [View]
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Abstract: In order to reduce the charging current ripple caused by distorted grid voltages, this paper proposes a charging current ripple suppression strategy for three-phase Power Conversion System (PCS) based on DC-side harmonic current compensation. The theoretical analysis and mathematical derivation of charging current ripple are presented. Based on the analysis, the range of passive components of the auxiliary branch is calculated. The auxiliary branch adopts three-loops control, including capacitor voltage controller, inductor current controller and 6th and 12th harmonic current suppression modules. The feasibility of the proposed strategy is verified by PLECS simulation.

   A Study of incremental capacity analysis discrete wavelet transform-based feature extraction with stochastic analysis
By Jaeyeong KIM, Salah Eddine EZAHEDI, Jonghoon KIM [View]
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Abstract: The remaining-useful-life (RUL) prediction of lithium-ion batteries (LIBs) is crucial challenge for electric vehicles (EVs) and energy storage systems (ESSs). The health indicator (HI)-based RUL prediction have been investigated with experimental, model-based, and data-driven method. Most of the research have been focused on only one domain such as time or frequency domain. However, LIBs are complex system that operates in time (current and voltage) and frequency (electrochemical process; charge transfer, diffusion) domain. In this paper, incremental capacity analysis (ICA), which can analyze electrochemical properties, was performed to improve the interpretation of the constant current charging voltage curve in the time domain. In addition, discrete wavelet transform (DWT) with 7 mother wavelet functions were performed to extract features for the failure prevision.

EPE 2023 - DS1k: Energy Storage Systems for Renewable Energy
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2023 ECCE Europe - Conference > EPE 2023 - Topic 06: Grids, Smart Grids, AC & DC > EPE 2023 - DS1k: Energy Storage Systems for Renewable Energy
	[return to parent folder]

	A Charging Current Ripple Suppression Strategy for Three-phase Power Conversion System Based on DC-side Harmonic Current Compensation By Yiran CHEN, Min CHEN, Haoqing CAI, Changsheng HU	[View] [Download]
Abstract: In order to reduce the charging current ripple caused by distorted grid voltages, this paper proposes a charging current ripple suppression strategy for three-phase Power Conversion System (PCS) based on DC-side harmonic current compensation. The theoretical analysis and mathematical derivation of charging current ripple are presented. Based on the analysis, the range of passive components of the auxiliary branch is calculated. The auxiliary branch adopts three-loops control, including capacitor voltage controller, inductor current controller and 6th and 12th harmonic current suppression modules. The feasibility of the proposed strategy is verified by PLECS simulation.

	A Study of incremental capacity analysis discrete wavelet transform-based feature extraction with stochastic analysis By Jaeyeong KIM, Salah Eddine EZAHEDI, Jonghoon KIM	[View] [Download]
Abstract: The remaining-useful-life (RUL) prediction of lithium-ion batteries (LIBs) is crucial challenge for electric vehicles (EVs) and energy storage systems (ESSs). The health indicator (HI)-based RUL prediction have been investigated with experimental, model-based, and data-driven method. Most of the research have been focused on only one domain such as time or frequency domain. However, LIBs are complex system that operates in time (current and voltage) and frequency (electrochemical process; charge transfer, diffusion) domain. In this paper, incremental capacity analysis (ICA), which can analyze electrochemical properties, was performed to improve the interpretation of the constant current charging voltage curve in the time domain. In addition, discrete wavelet transform (DWT) with 7 mother wavelet functions were performed to extract features for the failure prevision.