EPE Association: EPE 2023 - LS3a: Focus Topic 3

EPE 2023 - LS3a: Focus Topic 3 - Energy Storage Technologies
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2023 ECCE Europe - Conference > EPE 2023 - Topic 11: Focus Topics > EPE 2023 - LS3a: Focus Topic 3 - Energy Storage Technologies

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   A Model Predictive Control Approach for Lithium-ion Capacitor Optimal Charging
By Pankaj SAHA, Mahdi SOLTANI, Stig MUNK-NIELSEN, Daniel-Ioan STROE [View]
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Abstract: Lithium-ion capacitors (LiCs) benefit from high power and energy density. They outperform Li-ion batteries in fast charging. The charging protocol is vital for LiCs, affecting the cell's efficiency, safety, and lifetime. In this paper, an optimal charging scheme for LiCs has been developed. The charging current trajectory is obtained using model predictive control (MPC)-based optimization that minimizes the charging time, satisfying the cell's operating conditions. An equivalent electro-thermal model of LiC has been considered in designing the charging scheme. The model parameters are experimentally identified considering the commercially available 2100F Musashi LiC cells. The performance of the proposed charging scheme has been evaluated via simulation studies. The results show that the MPC scheme charges LiC up to the desired SOC level in a CC-CV protocol, respecting the provided boundary conditions. For different initial SOC levels, power acceptance variation has been examined between CC and CV charging phases. Finally, the proposed scheme has been evaluated for different C-rates.

   Modelling of Large Volume Expansion of Silicon Batteries using an Optimum Incremental Potential Theorem
By Hamzeh BEIRANVAND, Jan DITTMANN, Jan-Ole STERN, Sandra HANSEN, Rainer ADELUNG, Stephan WULFINGHOFF [View]
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Abstract: This paper presents an optimum potential theorem to model the large volume expansion and deformation of Silicon-Mircrowire (Si-MW) anode. Among different silicon anodes, Si-MW is a promising replacement for graphite in lithium-ion batteries (LIBs) leading to high energy density required for electric vehicles (EVs). Nonetheless, charging and discharging of Si-MW result in severe volume expansion and deformation which eventually leads to battery accelerated degradation and capacity fade. A theory is developed to model the phenomenon considering the total free energy and dissipative components. The conservation laws and constitutive relations for Si-MW are connected to the free energy by defining suitable functions. The model equations are discretized and solved using finite-element method (FEM) employing FEAP solver engine. Qualitative sensitivity analysis is conducted on model parameters. The optimum range for the model parameters are extracted which comply with chemomechanical phenomenon in Si-MW.

   Open Circuit Voltage Characterization of Microporous Silicon Anodes for Lithium Ion Batteries
By Hamzeh BEIRANVAND, Sahil SHINGOTE, Ashwin SHEJWALKAR, Jan-Ole STERN, Monja GRONENBERG, Rainer ADELUNG, Stephan WULFINGHOFF [View]
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Abstract: Silicon-based Lithium-ion batteries are emerging in industry. Their high energy density promises an optimum solution for e-mobility applications. This paper investigates open-circuit voltage (OCV) characterization methods for microporous silicon (MP-Si) anodes. Two MP-Si samples of the capacity of 2.5 mAh are built in the laboratory. Pulse tests are applied to the two different samples. The OCV of MP-Si measured during charging and discharging are different leading to a hysteresis behavior. MP-Si OCV is approximated by different functions for charging and discharging. Considering the RMS error, polynomial approximation is the best option. A fictitious equilibrium potential is derived based on the difference in energy losses during the charging and discharging and characterized for MP-Si based on the experimental results.

EPE 2023 - LS3a: Focus Topic 3 - Energy Storage Technologies
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2023 ECCE Europe - Conference > EPE 2023 - Topic 11: Focus Topics > EPE 2023 - LS3a: Focus Topic 3 - Energy Storage Technologies
	[return to parent folder]

	A Model Predictive Control Approach for Lithium-ion Capacitor Optimal Charging By Pankaj SAHA, Mahdi SOLTANI, Stig MUNK-NIELSEN, Daniel-Ioan STROE	[View] [Download]
Abstract: Lithium-ion capacitors (LiCs) benefit from high power and energy density. They outperform Li-ion batteries in fast charging. The charging protocol is vital for LiCs, affecting the cell's efficiency, safety, and lifetime. In this paper, an optimal charging scheme for LiCs has been developed. The charging current trajectory is obtained using model predictive control (MPC)-based optimization that minimizes the charging time, satisfying the cell's operating conditions. An equivalent electro-thermal model of LiC has been considered in designing the charging scheme. The model parameters are experimentally identified considering the commercially available 2100F Musashi LiC cells. The performance of the proposed charging scheme has been evaluated via simulation studies. The results show that the MPC scheme charges LiC up to the desired SOC level in a CC-CV protocol, respecting the provided boundary conditions. For different initial SOC levels, power acceptance variation has been examined between CC and CV charging phases. Finally, the proposed scheme has been evaluated for different C-rates.

	Modelling of Large Volume Expansion of Silicon Batteries using an Optimum Incremental Potential Theorem By Hamzeh BEIRANVAND, Jan DITTMANN, Jan-Ole STERN, Sandra HANSEN, Rainer ADELUNG, Stephan WULFINGHOFF	[View] [Download]
Abstract: This paper presents an optimum potential theorem to model the large volume expansion and deformation of Silicon-Mircrowire (Si-MW) anode. Among different silicon anodes, Si-MW is a promising replacement for graphite in lithium-ion batteries (LIBs) leading to high energy density required for electric vehicles (EVs). Nonetheless, charging and discharging of Si-MW result in severe volume expansion and deformation which eventually leads to battery accelerated degradation and capacity fade. A theory is developed to model the phenomenon considering the total free energy and dissipative components. The conservation laws and constitutive relations for Si-MW are connected to the free energy by defining suitable functions. The model equations are discretized and solved using finite-element method (FEM) employing FEAP solver engine. Qualitative sensitivity analysis is conducted on model parameters. The optimum range for the model parameters are extracted which comply with chemomechanical phenomenon in Si-MW.

	Open Circuit Voltage Characterization of Microporous Silicon Anodes for Lithium Ion Batteries By Hamzeh BEIRANVAND, Sahil SHINGOTE, Ashwin SHEJWALKAR, Jan-Ole STERN, Monja GRONENBERG, Rainer ADELUNG, Stephan WULFINGHOFF	[View] [Download]
Abstract: Silicon-based Lithium-ion batteries are emerging in industry. Their high energy density promises an optimum solution for e-mobility applications. This paper investigates open-circuit voltage (OCV) characterization methods for microporous silicon (MP-Si) anodes. Two MP-Si samples of the capacity of 2.5 mAh are built in the laboratory. Pulse tests are applied to the two different samples. The OCV of MP-Si measured during charging and discharging are different leading to a hysteresis behavior. MP-Si OCV is approximated by different functions for charging and discharging. Considering the RMS error, polynomial approximation is the best option. A fictitious equilibrium potential is derived based on the difference in energy losses during the charging and discharging and characterized for MP-Si based on the experimental results.