Data processing techniques for ion and electron-energy distribution functions

Caldarelli, Antonella; Filleul, Félicien; Boswell, Rod; Charles, Christine; Rattenbury, N. J.; Cater, John

doi:10.1063/5.0133840

Cited by 12 publications

(5 citation statements)

References 63 publications

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“…The GF method effectively eliminates random noise and fluctuations in the data through weighted averaging, making the IC curve smoother and providing a reliable basis for subsequent feature extraction. 33 The VW+GF methods cleverly balance the accuracy of data processing and the operability of practical applications, effectively remove noise, simplify the processing flow, and provide a practical and efficient solution for feature extraction of IC curves. The comparison of IC curves under different processing methods is shown in Fig.…”

Section: Extraction and Correlation Analysis Of Health Factorsmentioning

confidence: 99%

State of Health Estimation of Lithium-Ion Battery for Electric Vehicle Based on VMD-DBO-SVR Model

Tong,

Gong,

Chen

et al. 2024

J. Electrochem. Soc.

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State-of-health (SOH) of lithium-ion batteries is an important indicator for measuring performance and remaining life. We propose an innovative prediction model that integrates variational mode decomposition (VMD), Dung Beetle optimizer (DBO), and support vector regression (SVR) algorithms. We extracted relevant features from the discharge characteristic curve and incremental capacity curve. We used Pearson and Spearman correlation coefficient methods for correlation analysis on the extracted health factors (HFs), selecting those that significantly impact SOH as input features. A DBO-SVR model was constructed to establish a nonlinear correlation between HFs and SOH, and the DBO algorithm was used to globally search and optimize the hyperparameters of the SVR model to improve its prediction accuracy. To reduce the impact of noise in battery signals on model performance, VMD technology was introduced to decompose battery signals into multiple intrinsic mode components, to extract useful features and remove noise to further improve prediction accuracy. The proposed method was validated using the NASA battery dataset and compared with other algorithm models. Results showed that the prediction model was significantly better than other models, with a maximum RMSE value of 0.84%, a maximum MAE value of 0.71%, and a stable prediction error value within 1%.

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Section: Extraction and Correlation Analysis Of Health Factorsmentioning

confidence: 99%

State of Health Estimation of Lithium-Ion Battery for Electric Vehicle Based on VMD-DBO-SVR Model

Tong,

Gong,

Chen

et al. 2024

J. Electrochem. Soc.

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“…A planar Langmuir probe (LP) and an rf compensated cylindrical LP have been used to estimate the ion density from the ion saturation method and the electron temperature from the Druyvesteyn method, as previously described in detail [28,34]. The effective electron temperatures T e on-axis had only been measured at a few axial loci for the B 0 = 300 G and B 0 = 600 G cases as well as under the solenoids for other values of B 0 .…”

Section: Plasma Diagnosticsmentioning

confidence: 99%

Helicon waves in a converging-diverging magnetoplasma

Filleul,

Caldarelli,

Takahashi

et al. 2023

Plasma Sources Sci. Technol.

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Waves propagating along a converging-diverging rf magnetoplasma having the characteristics of a bounded m = 0 helicon mode are reported and characterised. The discharge features a 30 cm separation between the region of radiofrequency energy deposition by a single loop antenna and the region of maximum magnetic ﬁeld applied by a pair of coils. With 200 W of rf input power, up to a ﬁve-fold increase in axial plasma density between the antenna and the magnetic mirror throat is observed together with an Ar II blue-mode. Two dimensional B-dot probe measurements show that the rf magnetic ﬁelds are closely guided by the converging-diverging geometry. The wave is characterised as a m = 0 mode satisfying the helicon dispersion relation on-axis with radial boundary conditions approximately matching the radii of the plasma column. Analysis of the wave phase velocity and wave axial damping failed to identify collisionless or collisional wave-plasma coupling mechanisms. Instead, the wave axial amplitude variations can be explained by local wave resonances and possible reﬂections from localised rapid changes of the refractive index. A Venturi-like effect owing to the funnel-shaped magnetoplasma and conservation of the wave energy may also explain some level of amplitude variations.

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“…Each measured current is the average of 200V D sweeps. The collected current is fed into an analog differentiator to obtain the IEDF from the first derivative of the I-V characteristics [41]. The local plasma potential V p and the ion beam potential V B are then defined as the location of the first and second peaks in the IEDF [6,10,40,42].…”

Section: Plasma Diagnosticsmentioning

confidence: 99%

Effects of magnetic nozzle strength and orientation on radio-frequency plasma expansion

Caldarelli

Filleul

Charles

et al. 2023

Plasma Sources Sci. Technol.

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To improve the efficiency of radio-frequency magnetic nozzle plasma thrusters, it is important to better understand the coupling between plasma expansion and a convergent-divergent magnetic field. This study explores the effects of magnetic field strength and orientation on plasma expansion in a magnetic nozzle.Two-dimensional measurements of the plasma characteristics obtained both in the source and in the expansion region are presented to investigate the influence of magnetic field strength on the formation of high-density conics in a symmetric magnetic nozzle. The measurements are repeated in a deflected magnetic nozzle using a novel magnetic steering system. Measurements of the ion saturation current and floating potential profiles are used respectively to qualitatively assess the plasma density distribution and the presence of high-energy electrons for the magnetic field configurations analysed. In the symmetric magnetic nozzle configuration, it is observed that the ion saturation current peaks on axis in the plasma source, but downstream of the nozzle throat, a double-peaked hollow profile is observed for all cases studied. The location of the high-density conics structure matches the most radial field lines that intersect the antenna and can freely expand downstream outside the source. Negative values of the floating potential are measured in the same peripheral regions, which could be a sign of the presence of high-energy electrons. When the magnetic field is deflected, the ion saturation current profile shows only a single peak centred around the bent field line that reconnects to the antenna. Again, a region of negative floating potential is measured at the location of the maximum ion current. Thus, it is shown how, independent of magnetic field strength and orientation, the magnetic field lines interacting with the antenna dictate the local plasma profiles downstream from the magnetic nozzle.

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Data processing techniques for ion and electron-energy distribution functions

Cited by 12 publications

References 63 publications

State of Health Estimation of Lithium-Ion Battery for Electric Vehicle Based on VMD-DBO-SVR Model

State of Health Estimation of Lithium-Ion Battery for Electric Vehicle Based on VMD-DBO-SVR Model

Helicon waves in a converging-diverging magnetoplasma

Effects of magnetic nozzle strength and orientation on radio-frequency plasma expansion

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