Bittner, Peter

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

Computer system (100), computer-implemented method and computer program product are provided for indirect measurement of battery degradation of a particular electric vehicle (221). Parameter sets (200p) associated with completed charging runs (200) comprise: a charging level (220b-*), a vehicle range (220r-*), and a corresponding odometer reading (220o-*) or time point (220t-*). The vehicle range values (220r-*) are grouped by corresponding charging levels (220b-*) belonging to corresponding grouping intervals, such as predefined odometer reading intervals or time intervals in which the respective charging runs occurred. A maximum value (220mr-*) of the vehicle range related parameter obtained. For each charging level, a first mean/median (200rct-*) of the associated vehicle range is computed in each grouping interval. For each associated charging level (220b-*) in each grouping interval (GI*), the ratio of the first mean/median to the respective maximum value of vehicle range is computed, and an intermediate battery degradation value is determined by grouping interval for each charging level based on said ratios. For each grouping interval, a second mean/median of all intermediate battery degradation values across all charging levels is computed in the respective grouping interval (GI*) resulting in the battery degradation values (BDV*) for each grouping interval.

Zusammenfassung wird geladen …

A system, method and computer program product are disclosed for fast quantitative NMR data acquisition for a plurality of NMR scans performed on a sample. The method performs a plurality of scan batches (B1 to B3) on the sample. Each batch comprises a long delay scan (LDS) performed after a long delay interval ensuring near-full relaxation of said nuclei, followed by a set of short delay scans (SDS*), each short delay scan performed after a short delay interval smaller than the long delay interval. Each scan is associated with a corresponding scan time point (t1 to t6) in relation to the long delay scan time point of the respective scan batch. For each corresponding scan time point, aggregated NMR spectrum portions (Saa to Saf) are determined showing a decay over time. The decay is fitted with an exponential decay function (610). An averaged integral loss is computed for each scan time point. For each NMR spectrum of the scan batches, an integral associated with a respective region of interest is multiplied with a corresponding correction factor. The integrals associated with the corrected NMR spectra in all batches (B1 to B3) are summed up to obtain a representation of the NMR signal intensity in the region of interest for said sample.

Zusammenfassung wird geladen …

Zusammenfassung wird geladen …

System (100), method and computer program product for approximating one or more X-ray intensities for a sample (202) measured by an X-ray detection system (200-1) with at least one collimator (205, 206) having a given angular range, a monochromator (203) and an X-ray detector (204). Measured intensities (212) are received from the detection system (200-1) at respective one or more diffraction angles (θ). A sample simulation module (130) computes simulated sample intensities (112) from an X-ray fluorescence sample model (130M) with initial sample model parameters (130P) indicating the sample composition and/or layer thickness of one or more sample layers. A correction module (120) applies a triangular collimator correction (121) to the simulated sample intensities (112) and determines a mathematical distance between the corrected simulated sample intensities and corresponding measured intensities. The sample model parameters (130P) are adjusted and the correction steps are repeated until the distance change falls below a minimal distance change. Finally, the sample model parameters (130P) regarding sample composition and/or the layer thickness associated with the corrected simulated intensities (112-c) are provided as approximated concentration values of respective components contained in the measured sample (202) and/or the layer thickness of the measured sample.

Zusammenfassung wird geladen …