Model-based fast charging of lithium-ion batteries: Impact of thermal gradients on the degradation of battery systems with cells connected in parallel and series

Fast-charging times of less than 15 min are a key enabler for the widespread adoption of battery electric vehicles. Various fast-charging strategies have been developed in recent years to ensure low charging times without shortening the battery lifetime. While these strategies were primarily investigated at the cell level, transferring them to the system level is challenging. This study investigated the aging behavior of a battery module with four cells connected in parallel and four strands connected in series (4s4p topology) using passive cell balancing. To achieve charging times of approximately 15 min while mitigating lithium plating, anode-potential control was employed as a charging strategy. Aging experiments revealed that thermal gradients between the serially connected strands led to diverging degradation. The strand with the highest temperature exhibited increased capacity loss and resistance growth. As a self-reinforcing effect, this strand was exposed to the highest depth of discharge due to its reduced capacity, which exacerbated the degradation. Differential voltage analyses revealed loss of lithium inventory as the dominant aging mode, presumably caused by solid electrolyte interface growth. The presented approach reveals the underlying self-reinforcing degradation loop mechanisms in module-level fast charging, which demonstrates that a holistic view of the thermal management with cells connected in parallel and series is crucial to maximize battery lifetime. • Model-based fast charging profile on system level. • Experimental aging of a battery system until a state of health of 70%. • Investigation of the thermal gradients and cell balancing within the module. • Degradation analysis using differential voltage analysis (DVA) and ECM fitting.

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Publication Details

Journal
eTransportation
Published
2026-02-03
DOI
https://doi.org/10.1016/j.etran.2026.100563
Primary Topic
Advanced Battery Technologies Research
Type
article
Field-Weighted Citation Impact
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article

Model-based fast charging of lithium-ion batteries: Impact of thermal gradients on the degradation of battery systems with cells connected in parallel and series

Michael K. Kick, Christian Allgäuer, Raphael D. Urban, Kareem Abo Gamra et al.
eTransportation
Advanced Battery Technologies Research
article

Model-based fast charging of lithium-ion batteries: Impact of thermal gradients on the degradation of battery systems with cells connected in parallel and series

Michael K. Kick, Christian Allgäuer, Raphael D. Urban, Kareem Abo Gamra, Tobias Brehler, Claudius Diez, Cristina Grosu, Markus Lienkamp, Yijun Liu
article en

Abstract

Fast-charging times of less than 15 min are a key enabler for the widespread adoption of battery electric vehicles. Various fast-charging strategies have been developed in recent years to ensure low charging times without shortening the battery lifetime. While these strategies were primarily investigated at the cell level, transferring them to the system level is challenging. This study investigated the aging behavior of a battery module with four cells connected in parallel and four strands connected in series (4s4p topology) using passive cell balancing. To achieve charging times of approximately 15 min while mitigating lithium plating, anode-potential control was employed as a charging strategy. Aging experiments revealed that thermal gradients between the serially connected strands led to diverging degradation. The strand with the highest temperature exhibited increased capacity loss and resistance growth. As a self-reinforcing effect, this strand was exposed to the highest depth of discharge due to its reduced capacity, which exacerbated the degradation. Differential voltage analyses revealed loss of lithium inventory as the dominant aging mode, presumably caused by solid electrolyte interface growth. The presented approach reveals the underlying self-reinforcing degradation loop mechanisms in module-level fast charging, which demonstrates that a holistic view of the thermal management with cells connected in parallel and series is crucial to maximize battery lifetime. • Model-based fast charging profile on system level. • Experimental aging of a battery system until a state of health of 70%. • Investigation of the thermal gradients and cell balancing within the module. • Degradation analysis using differential voltage analysis (DVA) and ECM fitting.

eTransportationVol. 28
Technical University of Munich (DE)
Openalex Percentile: Top 68%
Advanced Battery Technologies Research
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