736 research outputs found

    Insights into the role of silicon and graphite in the electrochemical performance of silicon/graphite blended electrodes with a multi-material porous electrode model

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    Silicon/graphite blended electrodes are promising candidates to replace graphite in lithium ion batteries, benefiting from the high capacity of silicon and the good structural stability of carbon. Models have proven essential to understand and optimise batteries with new materials. However, most previous models treat silicon/graphite blends as a single ā€œlumpedā€ material, offering limited understanding of the behaviors of the individual materials and thus limited design capability. Here, we present a multi-material model for silicon/graphite electrodes with detailed descriptions of the contributions of the individual active materials. The model shows that silicon introduces voltage hysteresis to silicon/graphite electrodes and consequently a ā€œplateau shiftā€ during delithiation of the electrodes. There will also be competition between the silicon and graphite lithiation reactions depending on silicon/graphite ratio. A dimensionless competing factor is derived to quantify the competition between the two active materials. This is demonstrated to be a useful indicator for active operating regions for each material and we demonstrate how it can be used to design cycling protocols for mitigating electrode degradation. The multi-material electrode model can be readily implemented into full-cell models and coupled with other physics to guide further development of lithium ion batteries with silicon-based electrodes

    Regularized MPC for power management of hybrid energy storage systems with applications in electric vehicles

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    This paper examines the application of Regularized Model Predictive Control (RMPC) for Power Management (PM) of Hybrid Energy Storage Systems (HESSs). To illustrate, we apply the idea to the PM problem of a battery-supercapacitors (SCs) powertrain to reduce battery degradation in Electric Vehicles (EVs). While the application of Quadratic MPC (QMPC) in PM of HESS is not new, the idea to examine RMPC here is motivated by its capabilities to prioritize actuator actions and efficiently allocate control effort, as advocated by recent works in the control and MPC literature. Thorough simulations have been run over standard urban test drive cycles. It is found out that QMPC and RMPC, compared to rule-based PM strategies, could reduce the battery degradation over 70%. It is also shown that RMPC can slightly outperform QMPC in reducing battery degradation. Moreover, RMPC, compared to QMPC, could potentially extend the range of that SCs can be used, thus exploiting the degree of freedom of the powertrain to a larger extent. We also make some discussions on the feasibility issues and tuning challenges that RMPC faces, among others

    Force generation examined by laser temperature-jumps in shortening and lengthening mammalian (rabbit psoas) muscle fibres

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    We examined the tension change induced by a rapid temperature jump (T-jump) in shortening and lengthening active muscle fibres. Experiments were done on segments of permeabilized single fibres (length (L0) āˆ¼2 mm, sarcomere length 2.5 Ī¼m) from rabbit psoas muscle; [MgATP] was 4.6 mm, pH 7.1, ionic strength 200 mm and temperature āˆ¼9Ā°C. A fibre was maximally Ca2+-activated in the isometric state and a āˆ¼3Ā°C, rapid (< 0.2 ms), laser T-jump applied when the tension was approximately steady in the isometric state, or during ramp shortening or ramp lengthening at a limited range of velocities (0ā€“0.2 L0 sāˆ’1). The tension increased to 2- to 3 Ɨ P0 (isometric force) during ramp lengthening at velocities > 0.05 L0 sāˆ’1, whereas the tension decreased to about < 0.5 Ɨ P0 during shortening at 0.1ā€“0.2 L0 sāˆ’1; the unloaded shortening velocity was āˆ¼1 L0 sāˆ’1 and the curvature of the forceā€“shortening velocity relation was high (a/P0 ratio from Hill's equation of āˆ¼0.05). In isometric state, a T-jump induced a tension rise of 15ā€“20% to a new steady state; by curve fitting, the tension rise could be resolved into a fast (phase 2b, 40ā€“50 sāˆ’1) and a slow (phase 3, 5ā€“10 sāˆ’1) exponential component (as previously reported). During steady lengthening, a T-jump induced a small instantaneous drop in tension, followed by recovery, so that the final tension recorded with and without a T-jump was not significantly different; thus, a T-jump did not lead to a net increase of tension. During steady shortening, the T-jump induced a pronounced tension rise and both its amplitude and the rate (from a single exponential fit) increased with shortening velocity; at 0.1ā€“0.2 L0 sāˆ’1, the extent of fibre shortening during the T-jump tension rise was estimated to be āˆ¼1.2% L0 and it was shorter at lower velocities. At a given shortening velocity and over the temperature range of 8ā€“30Ā°C, the rate of T-jump tension rise increased with warming (Q10 ā‰ˆ 2.7), similar to phase 2b (endothermic force generation) in isometric muscle. Results are discussed in relation to the previous findings in isometric muscle fibres which showed that a T-jump promotes an early step in the crossbridgeā€“ATPase cycle that generates force. In general, the finding that the T-jump effect on active muscle tension is pronounced during shortening, but is depressed/inhibited during lengthening, is consistent with the expectations from the Fenn effect that energy liberation (and acto-myosin ATPase rate) in muscle are increased during shortening and depressed/inhibited during lengthening

    Safe and sustainable lithium-ion batteries

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    The transition to clean energy and electric mobility is driving unprecedented demand for lithium-ion batteries (LIBs). This paper investigates the safety and sustainability of LIBs, exploring ways of reducing their impact on the environment and ensuring they do not pose a danger to health of workers or users

    On the high-density expansion for Euclidean Random Matrices

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    Diagrammatic techniques to compute perturbatively the spectral properties of Euclidean Random Matrices in the high-density regime are introduced and discussed in detail. Such techniques are developed in two alternative and very different formulations of the mathematical problem and are shown to give identical results up to second order in the perturbative expansion. One method, based on writing the so-called resolvent function as a Taylor series, allows to group the diagrams in a small number of topological classes, providing a simple way to determine the infrared (small momenta) behavior of the theory up to third order, which is of interest for the comparison with experiments. The other method, which reformulates the problem as a field theory, can instead be used to study the infrared behaviour at any perturbative order.Comment: 29 page

    Responsibility for HIV Prevention: Patterns of Attribution Among HIV-seropositive Gay and Bisexual Men

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    The article presents research based on narratives by gay and bisexual men recently infected with HIV. Researchers looked at the men\u27s attributions of responsibility for infection, comparing recollections of feelings before becoming infected with views expressed after seroconversion. The research responds to a call to better understand risk behavior among HIV-positive persons, in an effort to craft effective prevention interventions. In both before-and after-HIV infection views, survey participants expressed a sense of personal responsibility. Researchers report also nuances of views about shared responsibility

    In-operando high-speed tomography of lithium-ion batteries during thermal runaway

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    Prevention and mitigation of thermal runaway presents one of the greatest challenges for the safe operation of lithium-ion batteries. Here, we demonstrate for the first time the application of high-speed synchrotron X-ray computed tomography and radiography, in conjunction with thermal imaging, to track the evolution of internal structural damage and thermal behaviour during initiation and propagation of thermal runaway in lithium-ion batteries. This diagnostic approach is applied to commercial lithium-ion batteries (LG 18650 NMC cells), yielding insights into key degradation modes including gas-induced delamination, electrode layer collapse and propagation of structural degradation. It is envisaged that the use of these techniques will lead to major improvements in the design of Li-ion batteries and their safety features
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