Abstract Lithium-ion cells testing under different state of charge ranges, C-rates and cycling temperature have different degrees of lithium inventory loss, impedance growth and active mass loss. Here, a large matrix of polycrystalline NMC622/natural graphite Li-ion pouch cells were tested with seven different state of charge ranges (0-25, 0-50, 0-75, 0-100, 75-100, 50-100 and 25-100%), three different C-rates and at two temperatures. First, capacity fade was compared to a model developed by Deshpande and Bernardi. Second, after 2.5 years of cycling, detailed analysis by dV/dQ analysis, lithium-ion differential thermal analysis, volume expansion by Archimedes’ principle, electrode stack growth, ultrasonic transmissivity and x-ray computed tomography were undertaken. These measurements enabled us to develop a complete picture of cell aging for these cells. This then led to an empirical predictive model for cell capacity loss versus SOC range and calendar age. Although these particular cells exhibited substantial positive electrode active mass loss, this did not play a role in capacity retention because the cells were anode limited during full discharge under all the tests carried out here. However, the positive electrode mass loss was strongly coupled to positive electrode swelling and electrolyte “unwetting” that would eventually cause dramatic failure.
The technique of time-resolved pump–probe x-ray photoelectron spectroscopy using the free-electron laser in Hamburg (FLASH) is described in detail. Particular foci lie on the macrobunch resolving detection scheme, the role of vacuum space-charge effects and the synchronization of pump and probe lasers. In an exemplary case study, the complete Ta 4f core-level dynamics in the layered charge-density-wave (CDW) compound 1T-TaS2 in response to impulsive optical excitation is measured on the sub-picosecond to nanosecond timescale. The observed multi-component dynamics is related to the intrinsic melting and reformation of the CDW as well as to extrinsic pump-laser-induced vacuum space-charge effects.
This paper presents a method to improve the process of gas turbine diagnosis in case of a single fault event by calculating both deviations of performance parameters from their nominal values and fault probabilities. The approach is based on a thermodynamic model of the monitored gas turbine that is used to generate an Influence-Coefficient-Matrix (ICM) describing the gas turbine’s behaviour at the desired operating point in a linearised form. The ICM is used to calculate deviations of performance parameters by least squares estimation. As it is not known a priori how many components are affected by a fault, the ICM is evaluated with respect to all possible fault numbers and combinations leading to sets of analyses. The nature of least squares estimation method limits the number of detectable faults (and thus the number of analyses sets) to the number of available measurements. In a second step a fuzzy logic system is applied to calculate the probability of each performance parameter to be actually affected by the fault. This is done by applying fuzzy logic rules taking into account the frequency and the mean deviation of every performance parameter within every set of analyses. The third and last step is to sum the probabilities over all sets in order to obtain a global probability for every performance parameter. The proposed technique has been applied to several simulated test cases with encouraging results. The main benefit of the technique is that the diagnostic result contains both magnitude and probability of the deviations of performance parameters. Furthermore, robustness in terms of measurement noise is achieved by using a statistical evaluation method.
During turbofan development programs the evaluation of steady-state and transient engine performance is usually achieved by applying full thermodynamic engine models at least in the operating range between idle and maximum power conditions, but more recently also in the sub-idle operating range, e.g. for steady-state windmilling behavior and for starting, relight and shut down scenarios. The paper describes the setup, and in more detail the validation, of a full thermodynamic engine model for a two-spool mixed flow afterburner turbofan which is capable to run from maximum power down to zero speed and zero flow conditions in steady-state and transient mode. The validation is performed by using the model-based performance analysis procedure called ANSYN even in windmilling operation. Once the steady-state sub-idle model is validated the extension to transient sub-idle capability is achieved by simply adding the effects of rotor moment of inertia of the spools, while heat soakage effects are rather negligible without heat release in the burner. Especially lighting conditions in the burner are produced by such a validated sub-idle model inherently due to reliable data calculated at the burner entry station. The variety of applications of a validated full thermodynamic engine model is large. The performance data delivered is highly reliable and very consistent because the full operating range of the engine is covered with one model, and by appropriate means of speeding up the calculation even real-time capability may be achieved. In the paper synthesized data for an engine dry crank is compared to real engine test data as one typical application.
Understanding the impact of lateral mode confinement in plasmonic waveguides is of fundamental interest regarding potential applications in plasmonic devices. The knowledge of the frequency-wave vector dispersion relation provides the full information on electromagnetic field propagation in a waveguide. This Letter reports on the measurement of the real part of the surface plasmon polariton dispersion relation in the near infrared spectral regime for individual nanoscale plasmonic waveguides, which were formed by deposition of para-hexaphenylene (p-6P) based nanofibers on top of a gold film. A detailed structural characterization of the nanofibers provides accurate information on the dimensions of the investigated waveguides and enables us to quantify the effect of mode confinement by comparison with experimental results from continuous p-6P films and calculations based on the effective index method.
We use ultrafast extreme-ultraviolet photoelectron spectroscopy to directly monitor the electron dynamics and the characteristic valence-band photoelectron spectra associated with a hot-electron mediated surface chemical reaction. By adsorbing molecular oxygen onto a Pt(111) surface and exciting it with an ultrafast laser pulse, charge transfer induced changes in the platinum-oxygen bond were observed on femtosecond time scales. By simultaneously monitoring both the hot-electron distribution at the Fermi edge and the valence-band photoemission spectra, it was determined that the thermalization of the hot-electron gas precedes significant changes in the ${\mathrm{O}}_{2}/\mathrm{P}\mathrm{t}$ bond.
We observe new intermediate and inverted charge density wave states in 1 T -TaSe2 using time- and angle-resolved photoemission spectroscopy. The results provide unique opportunities to understand and control the microscopic interactions and material properties.
Symmetry breaking and the emergence of order is one of the most fascinating phenomena in condensed matter physics. It leads to a plethora of intriguing ground states found in antiferromagnets, Mott insulators, superconductors, and density-wave systems. Exploiting states of matter far from equilibrium can provide even more striking routes to symmetry-lowered, ordered states. Here, we demonstrate for the case of elemental chromium that moderate ultrafast photoexcitation can transiently enhance the charge-density-wave (CDW) amplitude by up to 30% above its equilibrium value, while strong excitations lead to an oscillating, large-amplitude CDW state that persists above the equilibrium transition temperature. Both effects result from dynamic electron-phonon interactions, providing an efficient mechanism to selectively transform a broad excitation of the electronic order into a well-defined, long-lived coherent lattice vibration. This mechanism may be exploited to transiently enhance order parameters in other systems with coupled degrees of freedom.