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Adaptive On-line State-of-available-power Prediction of Lithium-ion Batteries
Fleischer, Christian,Waag, Wladislaw,Bai, Ziou,Sauer, Dirk Uwe The Korean Institute of Power Electronics 2013 JOURNAL OF POWER ELECTRONICS Vol.13 No.4
This paper presents a new overall system for state-of-available-power (SoAP) prediction for a lithium-ion battery pack. The essential part of this method is based on an adaptive network architecture which utilizes both fuzzy model (FIS) and artificial neural network (ANN) into the framework of adaptive neuro-fuzzy inference system (ANFIS). While battery aging proceeds, the system is capable of delivering accurate power prediction not only for room temperature, but also at lower temperatures at which power prediction is most challenging. Due to design property of ANN, the network parameters are adapted on-line to the current battery states (state-of-charge (SoC), state-of-health (SoH), temperature). SoC is required as an input parameter to SoAP module and high accuracy is crucial for a reliable on-line adaptation. Therefore, a reasonable way to determine the battery state variables is proposed applying a combination of several partly different algorithms. Among other SoC boundary estimation methods, robust extended Kalman filter (REKF) for recalibration of amp hour counters was implemented. ANFIS then achieves the SoAP estimation by means of time forward voltage prognosis (TFVP) before a power pulse occurs. The trade-off between computational cost of batch-learning and accuracy during on-line adaptation was optimized resulting in a real-time system with TFVP absolute error less than 1%. The verification was performed on a software-in-the-loop test bench setup using a 53 Ah lithium-ion cell.
Cardiotoxicity of Mitoxantrone Treatment in a German Cohort of 639 Multiple Sclerosis Patients
Vinzenz Fleischer,Anke Salmen,Susanne Kollar,Veronika Weyer,Volker Siffrin,Andrew Chan,Frauke Zipp,Felix Luessi 대한신경과학회 2014 Journal of Clinical Neurology Vol.10 No.4
Background and Purpose The aim of this study was to elucidate the role of therapy-relatedcardiotoxicity in multiple sclerosis (MS) patients treated with mitoxantrone and to identify potential predictors for individual risk assessment. Methods Within a multicenter retrospective cohort design, cardiac side effects attributed tomitoxantrone were analyzed in 639 MS patients at 2 MS centers in Germany. Demographic,disease, treatment, and follow-up data were collected from hospital records. Patients regularlyreceived cardiac monitoring during the treatment phase. Results None of the patients developed symptomatic congestive heart failure. However, thefrequency of patients experiencing cardiac dysfunction of milder forms after mitoxantronetherapy was 4.1% (26 patients) among all patients. Analyses of the risk for cardiotoxicity revealed that cumulative dose exposure was the only statistically relevant risk factor associatedwith cardiac dysfunction. Conclusions The number of patients developing subclinical cardiac dysfunction below themaximum recommended cumulative dose is higher than was initially assumed. Interestingly, asubgroup of patients was identified who experienced cardiac dysfunction shortly after initiationof mitoxantrone and who received a low cumulative dose. Therefore, each administration ofmitoxantrone should include monitoring of cardiac function to enhance the treatment safety forpatients and to allow for early detection of any side effects, especially in potential high-risksubgroups (as determined genetically).
Fractured Lives: Domestic Workers’ Mobility Challenges to Provide Care
Friederike Fleischer Academy of Mobility Humanities 2024 Mobility Humanities Vol.3 No.1
In countries of the Global South, large numbers of uneducated women work in the service sector. As nannies and domestic workers, they provide vital care to wealthier population groups. For lack of resources, the women live in peripheral communities and rely on public transportation to travel to work. Mobility infrastructure, however, is seldomly planned for the disadvantaged’s needs. Thus, service sector workers face daily logistical and time challenges that impede on their lives and wellbeing. Presenting ethnographic data from a 5-year research project on domestic workers’ daily commutes in Bogotá, Colombia, in this article I illustrate women’s mobility challenges. Public transportation is over-crowded and delayed; petty crime and sexual harassment are wide-spread; and fringe areas of the city remain underserved. Women’s experiences highlight how gender intersects with local labour regimes and infrastructure to “fracture” domestic workers’ lives; they are caught between time poverty, physical exhaustion, and multiple care demands. Urban stratification is importantly (re)produced in and through mobility. The article illuminates the spatial, social, and economic interconnection limiting women’s lives and possibilities. Spatial justice for impoverished and disadvantaged populations, I argue, must address gender, local labour regimes, transportation, and care infrastructures as inherently interdependent and unequal regimes of power.
Adaptive On-line State-of-available-power Prediction of Lithium-ion Batteries
Christian Fleischer,Wladislaw Waag,Ziou Bai,Dirk Uwe Sauer 전력전자학회 2013 JOURNAL OF POWER ELECTRONICS Vol.13 No.4
This paper presents a new overall system for state-of-available-power (SoAP) prediction for a lithium-ion battery pack. The essential part of this method is based on an adaptive network architecture which utilizes both fuzzy model (FIS) and artificial neural network (ANN) into the framework of adaptive neuro-fuzzy inference system (ANFIS). While battery aging proceeds, the system is capable of delivering accurate power prediction not only for room temperature, but also at lower temperatures at which power prediction is most challenging. Due to design property of ANN, the network parameters are adapted on-line to the current battery states (state-of-charge (SoC), state-of-health (SoH), temperature). SoC is required as an input parameter to SoAP module and high accuracy is crucial for a reliable on-line adaptation. Therefore, a reasonable way to determine the battery state variables is proposed applying a combination of several partly different algorithms. Among other SoC boundary estimation methods, robust extended Kalman filter (REKF) for recalibration of amp hour counters was implemented. ANFIS then achieves the SoAP estimation by means of time forward voltage prognosis (TFVP) before a power pulse occurs. The trade-off between computational cost of batch-learning and accuracy during on-line adaptation was optimized resulting in a real-time system with TFVP absolute error less than 1%. The verification was performed on a software-in-the-loop test bench setup using a 53 Ah lithium-ion cell.
Dual NURBS Path Smoothing for 5-Axis Linear Path of Flank Milling
Dongdong Li,Weimin Zhang,Wei Zhou,Tengfei Shang,Jürgen Fleischer 한국정밀공학회 2018 International Journal of Precision Engineering and Vol.19 No.12
Linear path is still widely used to describe the five-axis machining trajectory. Five-axis tool path consists of two parts, one trajectory describes the tool tip position, and the other one represents the second point on tool axis to define the tool orientation. The natural disadvantages of G01 path are tangential and curvature discontinuities at freeform surface, which will lead to feedrate fluctuation and accuracy decrease due to the drive constraints of machine tool. In this study, a path smoothing method is proposed to smooth and optimize the linear path by using dual NURBS curves. Firstly, according to the accuracy requirements, the tool tip spline can be fitted. Secondly, the tool orientation spline can also be obtained by a coordinate system mapping method. Then, the synchronization equation of the two spline parameters is established to achieve interpolation synchronization of cutter location points. Finally, the smoothing dual NURBS tool path can be obtained with continuous curvature to improve the surface quality, motion stability and machining efficiency. Simulations and experiments validate its practicability and reliability. This method is no need to upgrade the CAM, and also could be integrated into CAM system to perform the 5-axis path smoothing.
Integral Neutronics Experiment with a Mock-up of the European HCLL-TBM for ITER
A. Klix,U. Fischer,D. Lebrun-Grandie,P. Batistoni,S. Villari,R. Bottger,K. Fleischer,J. Henniger,D. Gehre,M. Sommer 한국물리학회 2011 THE JOURNAL OF THE KOREAN PHYSICAL SOCIETY Vol.59 No.23
An ITER TBM mock-up made of lithium-lead and sheets of EUROFER was irradiated with short pulses of DT neutrons from the neutron generator at TU Dresden, and time-of-arrival spectra of the slow neutron flux were measured by means of a ^3He counter in two regions inside the mock-up. Fast neutron spectra were obtained by continuous irradiation of the mock-up with DT neutrons and application of a NE-213 spectrometer. The same mock-up was also irradiated at the Frascati Neutron Generator and tritium production rates were measured by means of Li_2CO_3 pellet detectors and LiF thermoluminescense detectors (TLD) inserted into the mock-up. In case of the first type of detectors, the accumulated tritium activity was measured while with the LiF TLD the tritium production rate was obtained from the dose deposited in the detector by the tritium-producing reactions. The Calculation/Experiment ratio for the TPR measurement was nearly 1.0 with an uncertainty of approximately 7.4%. Preliminary results from calculations with FENDL-2.1 and JEFF-3.1.1 suggest a good agreement between experiment and calculation.
( Mette W Klinge ),( Nanna Sutter ),( Esben B Mark ),( Anne-mette Haase ),( Per Borghammer ),( Vincent Schlageter ),( Sten Lund ),( Jesper Fleischer ),( Karoline Knudsen ),( Asbjørn M Drewes ),( Klaus 대한소화기기능성질환·운동학회(구 대한소화관운동학회) 2021 Journal of Neurogastroenterology and Motility (JNM Vol.27 No.3
Background/Aims Patients with diabetes mellitus (DM) often suffer from gastrointestinal (GI) symptoms, but these correlate poorly to established objective GI motility measures. Our aim is to perform a detailed evaluation of potential measures of gastric and small intestinal motility in patients with DM type 1 and severe GI symptoms. Methods Twenty patients with DM and 20 healthy controls (HCs) were included. GI motility was examined with a 3-dimensional-Transit capsule, while organ volumes were determined by CT scans. Results Patients with DM and HCs did not differ with regard to median gastric contraction frequency (DM: 3.0 contractions/minute [interquartile range {IQR}, 2.9-3.0]; HCs: 2.9 [IQR, 2.8-3.1]; P = 0.725), amplitude of gastric contractions (DM: 9 mm [IQR, 8-11]; HCs: 11 mm (IQR, 9-12); P = 0.151) or fasting volume of the stomach wall (DM: 149 ㎤ [IQR, 112-187]; HCs: 132 ㎤ [IQR, 107-154]; P = 0.121). Median gastric emptying time was prolonged in patients (DM: 3.3 hours [IQR, 2.6-4.6]; HCs: 2.4 hours [IQR, 1.8-2.7]; P = 0.002). No difference was found in small intestinal transit time (DM: 5 hours [IQR, 3.7-5.6]; HCs: 4.8 hours [IQR, 3.9-6.0]; P = 0.883). However, patients with DM had significantly larger volume of the small intestinal wall (DM: 623 ㎤ [IQR, 487-766]; HCs: 478 ㎤ [IQR, 393-589]; P = 0.003). Among patients, 13 (68%) had small intestinal wall volume and 9 (50%) had gastric emptying time above the upper 95% percentile of HCs. Conclusion In our study, gastric emptying time and volume of the small intestinal wall appeared to be the best objective measures in patients with DM type 1 and symptoms and gastroenteropathy. (J Neurogastroenterol Motil 2021;27:390-399)