EPE Association: EPE 2025 - LS5b: Battery Aging, Reliability, and Safety

EPE 2025 - LS5b: Battery Aging, Reliability, and Safety
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2025 - Conference > EPE 2025 - Topic 03: Energy Storage Systems > EPE 2025 - LS5b: Battery Aging, Reliability, and Safety

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   Accelerated SOH Balancing in Lithium-ion Battery Packs Using Finite Set MPC
By Arman OSHNOEI, Hoda SOROURI, Ashkan SAFARI, Pooya DAVARI, Martin ZACHO, Anders DAHL JOHNSEN, Remus TEODORESCU [View]
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Abstract: State of Health (SOH) balancing is crucial for extending lithium-ion battery life. This paper introduces a Finite Control Set Model Predictive Control (FCS-MPC) method for an 8-cell pack, achieving faster SOH uniformity than traditional methods by dynamically adjusting control actions and optimizing cell usage to reduce degradation.

   Battery Efficiency and Aging Measurements for Multilevel Battery Energy Storage Systems - DC vs. 100Hz
By Paul ASPALTER, Markus FRANTA, Markus VOGELSBERGER, Hans ERTL [View]
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Abstract: Batteries in single phase DC/AC converters can be subject to second harmonic currents. This work examines the difference in battery round trip efficiency due to these currents, by calculation, simulation and physical measurements with batteries. Furthermore, batteries have been aged 1000 cycles of DC and DC+AC current to show no significant difference in aging.

   Second life Li-ion batteries: Influence of aging on the techno-economic analysis of a microgrid
By Lucas ALBUQUERQUE, Corentin BOENNEC, Fabien LACRESSONNIERE, Xavier ROBOAM, Nicolas DAMAY, Christophe FORGEZ [View]
[Download]

Abstract: In the context of second life lithium-ion batteries, understanding the aging process is crucial for accurately sizing a microgrid that employs Energy Storage Systems. This article introduces a novel aging model that captures the aging knee point of lithium-ion batteries and integrates it in a microgrid simulation. The goal is to understand how key aging parameters influence battery performance within the microgrid. The study analyzes the impact of the aging knee, initial State of Health and retail price.

EPE 2025 - LS5b: Battery Aging, Reliability, and Safety
You are here: EPE Documents > 01 - EPE & EPE ECCE Conference Proceedings > EPE 2025 - Conference > EPE 2025 - Topic 03: Energy Storage Systems > EPE 2025 - LS5b: Battery Aging, Reliability, and Safety
	[return to parent folder]

	Accelerated SOH Balancing in Lithium-ion Battery Packs Using Finite Set MPC By Arman OSHNOEI, Hoda SOROURI, Ashkan SAFARI, Pooya DAVARI, Martin ZACHO, Anders DAHL JOHNSEN, Remus TEODORESCU	[View] [Download]
Abstract: State of Health (SOH) balancing is crucial for extending lithium-ion battery life. This paper introduces a Finite Control Set Model Predictive Control (FCS-MPC) method for an 8-cell pack, achieving faster SOH uniformity than traditional methods by dynamically adjusting control actions and optimizing cell usage to reduce degradation.

	Battery Efficiency and Aging Measurements for Multilevel Battery Energy Storage Systems - DC vs. 100Hz By Paul ASPALTER, Markus FRANTA, Markus VOGELSBERGER, Hans ERTL	[View] [Download]
Abstract: Batteries in single phase DC/AC converters can be subject to second harmonic currents. This work examines the difference in battery round trip efficiency due to these currents, by calculation, simulation and physical measurements with batteries. Furthermore, batteries have been aged 1000 cycles of DC and DC+AC current to show no significant difference in aging.

	Second life Li-ion batteries: Influence of aging on the techno-economic analysis of a microgrid By Lucas ALBUQUERQUE, Corentin BOENNEC, Fabien LACRESSONNIERE, Xavier ROBOAM, Nicolas DAMAY, Christophe FORGEZ	[View] [Download]
Abstract: In the context of second life lithium-ion batteries, understanding the aging process is crucial for accurately sizing a microgrid that employs Energy Storage Systems. This article introduces a novel aging model that captures the aging knee point of lithium-ion batteries and integrates it in a microgrid simulation. The goal is to understand how key aging parameters influence battery performance within the microgrid. The study analyzes the impact of the aging knee, initial State of Health and retail price.