Detection of cell-stack inhomogeneities via mechanical SOC and SOH measurement

Ebert, Fabian; Sextl, Gerhard; Adermann, Jörn; Reiter, Christoph; Lienkamp, Markus

doi:10.1109/itec.2017.7993329

Cited by 3 publications

(2 citation statements)

References 12 publications

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“…In the process of new energy vehicle battery system pressure monitoring, the detection of battery expansion force is very important because the abnormal state of the battery often causes changes in the battery expansion force [1][2][3][4]. Battery expansion force monitoring is often carried out using elastomer pressure sensors [5]. However, force sensors using different substrates with different processes have different force measurement results.…”

Section: Introductionmentioning

confidence: 99%

Effect of Decompression Hole Structure Design on Stress Inhomogeneity of Stainless Steel Base Force Transducers

Gao

2024

J. Phys.: Conf. Ser.

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In order to reduce the stress inhomogeneity of the stainless steel base force transducer, the force transducer structure with decompression holes of different depths and different hole morphologies is designed in this paper and compared with the traditional force transducer structure without decompression hole design. According to the finite element analysis theory, the stress inhomogeneity level under different pressures and different structures is tested using a simulation platform. When a flat-bottomed hole is used and the depth of the decompression hole is 7 mm, the stress inhomogeneity of the inner ring of the force measurement structure is 32.77% of the original scheme, and the stress inhomogeneity of the outer ring is 90.12% of the original scheme. The simulation results show that the use of a suitable decompression hole structure can help to reduce the stress inhomogeneity of the force measurement structure. This work provides a new idea in the field of sensor optimization.

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Section: Introductionmentioning

confidence: 99%

Effect of Decompression Hole Structure Design on Stress Inhomogeneity of Stainless Steel Base Force Transducers

Gao

2024

J. Phys.: Conf. Ser.

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“…Ebert et al propose a direct measurement method utilizing a single pressure sensor to detect abnormal behavior in lithium-ion battery cells, such as capacity fade and mechanical failure. However, this method faces challenges in differentiating failure modes and requires detailed reference measurements, potentially limiting its practical use [8].…”

Section: Introductionmentioning

confidence: 99%

Neural Network Architecture for Determining the Aging of Stationary Storage Systems in Smart Grids

Rzepka,

Hematty,

Schmitz

et al. 2023

Energies

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The estimation of the State-of-Health (SOH) of energy storage systems is a key task to ensure their reliable operation and maintenance. This paper investigates a new SOH determination method for stationary storage in Microgrids. Aging tests are conducted on NMC cells, with test profiles corresponding to Microgrids’ conditions. The focus of this work is on optimizing the learning process and the application of a Multilayer Perceptron (MLP) model to address this issue. This study introduces a novel approach of considering lag sequences, or time series data, to expedite the learning procedure and enhance prediction accuracy. A key advancement in this research is the usage of shorter time intervals to calculate the SOH, which not only reduces the learning time but also decreases the application time. This approach led to an overall reduction in computational effort when estimating the SOH. Energy is introduced as a new input parameter, resulting in improved modeling and more accurate SOH estimations. Furthermore, the MLP model achieved a Mean Squared Error (MSE) of 2.95 and a Mean Absolute Error (MAE) of 1.10, which are indicative of its strong predictive accuracy. Emphasis was also placed on the careful tuning and optimization of the neural network’s hyperparameters. The goal was to design a computationally efficient network that still yields optimal results. The findings demonstrate the effectiveness and potential of the MLP model in SOH estimation, underscoring the importance of the methodical model design and hyperparameter optimization.

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Operando Stack Pressure Measurement of LFP/Graphite and LMFP/Graphite Cells to aid in State of Charge Prediction

Leslie,

Garayt,

Butler

et al. 2024

J. Electrochem. Soc.

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One of the biggest issues facing electric vehicles with LiFePO4 (LFP) batteries is state of charge management. Over much of the state of charge window, the voltage of both LFP and LiMnxFe1-xPO4 (LMFP) batteries does not vary. Therefore, state of charge management for LFP batteries relies on coulomb counting, which requires frequent charging to 100% to remain accurate. We propose to use the signal from pressure sensors placed between prismatic cells in battery modules to help determine the state of charge of LFP and LMFP batteries. Using LFP and LMFP pouch cells to demonstrate this principle, the pressure vs. time profiles of cells constrained in fixed volumes reveal distinct and repeatable profiles, which can be used to determine the state of charge in combination with voltage monitoring. Additionally, a simulated LFP battery pack was constructed and the pressure vs. time profile was monitored in the presence of compliant material under low initial force loadings to demonstrate how this could work in an EV battery.

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Detection of cell-stack inhomogeneities via mechanical SOC and SOH measurement

Cited by 3 publications

References 12 publications

Effect of Decompression Hole Structure Design on Stress Inhomogeneity of Stainless Steel Base Force Transducers

Effect of Decompression Hole Structure Design on Stress Inhomogeneity of Stainless Steel Base Force Transducers

Neural Network Architecture for Determining the Aging of Stationary Storage Systems in Smart Grids

Operando Stack Pressure Measurement of LFP/Graphite and LMFP/Graphite Cells to aid in State of Charge Prediction

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