Influence of Switching on the Aging of High Power Lithium-Ion Cells

Ngaleu, Guy Williams; Theiler, Michael; Straßer, Xenia; Hanzl, Christian; Komsiyska, Lidiya; Endisch, Christian; Lewerenz, Meinert

doi:10.3390/batteries8040033

Cited by 4 publications

(2 citation statements)

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“…No increased aging was observed here, but the pulsed charging might have a positive effect on the resistance of the solid-electrolyte interphase. In summary, the authors of [27] concluded that the aging of high-power cells is not significantly affected by switching operations.…”

Section: Resultsmentioning

confidence: 97%

“…To reduce the current RMS, switching strategies can be applied to limit switching to periods with low currents or low excitation in a frequency domain, e.g., using the Goertzel algorithm [13,25]. Furthermore, in the work of Ngaleu et al [27], the influence of switching at 50 Hz and 10 kHz on aging was investigated using the same cell type as in this paper. No increased aging was observed here, but the pulsed charging might have a positive effect on the resistance of the solid-electrolyte interphase.…”

Section: Resultsmentioning

confidence: 99%

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Experimental Investigation of State and Parameter Estimation within Reconfigurable Battery Systems

2023

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The battery system is one of the most-important, but also -critical components in the electric power-train. The battery’s system states and parameters are commonly tracked by the battery monitoring system. However, in reality, the accuracy of the state and parameter estimation may suffer from insufficient excitation of the system. Since the current states and parameters serve as the basis for many battery management system functions, this might lead to incorrect operation and severe damage. Reconfigurable battery systems allow enhancing the system’s excitation by applying a switching operation. In this contribution, the state and parameter estimation of a reconfigurable battery module were simulated and tested experimentally. Thereby, a low-exciting and a high-exciting drive cycle were compared. Furthermore, the switching patterns were applied to enhance the excitation and, hence, improve the estimation of an extended Kalman filter. The cells were switched via a pulse-width modulation signal, and the influence of frequency and duty cycle variation on the estimation accuracy were investigated. Compared to the low-excitation input, a significant improvement in the estimation of up to 46% for the state of charge and 78% for the internal resistance were achieved. Hereby, low frequencies and duty cycles proved to be particularly advantageous. Switching, however, has only a limited influence on an already highly excited system and may lead to additional aging due to higher heat generation.

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Section: Resultsmentioning

confidence: 97%

Section: Resultsmentioning

confidence: 99%

Experimental Investigation of State and Parameter Estimation within Reconfigurable Battery Systems

2023

Self Cite

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Short‐Term Tests, Long‐Term Predictions – Accelerating Ageing Characterisation of Lithium‐Ion Batteries

Paarmann,

Schreiber,

Chahbaz

et al. 2024

Batteries & Supercaps

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For the battery industry, quick determination of the ageing behaviour of lithium‐ion batteries is important both for the evaluation of existing designs as well as for R&D on future technologies. However, the target battery lifetime is 8–10 years, which implies low ageing rates that lead to an unacceptably long ageing test duration under real operation conditions. Therefore, ageing characterisation tests need to be accelerated to obtain ageing patterns in a period ranging from a few weeks to a few months. Known strategies, such as increasing the severity of stress factors, for example, temperature, current, and taking measurements with particularly high precision, need care in application to achieve meaningful results. We observe that this challenge does not receive enough attention in typical ageing studies. Therefore, this review introduces the definition and challenge of accelerated ageing along existing methods to accelerate the characterisation of battery ageing and lifetime modelling. We systematically discuss approaches along the existing literature. In this context, several test conditions and feasible acceleration strategies are highlighted, and the underlying modelling and statistical perspective is provided. This makes the review valuable for all who set up ageing tests, interpret ageing data, or rely on ageing data to predict battery lifetime.

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