1,721,512 research outputs found

    Observability analysis of a Li-ion cell equivalent circuit model based on interval arithmetic

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    States observability is a crucial aspect in the system control and optimization. In the battery modelling context, the equivalent circuit model (ECM) observability is often taken for granted without addressing the impact of input, uncertain parameters, and the choice of the open circuit potential (OCP) fitting function. In this work, a non-linear interval-based approach is adopted to obtain guaranteed observability conditions for the ECM. The analysis shows that different OCP functions, with comparable fit, lead to different result in terms of model observability and there exist state-input combinations potentially non-observable, when the input time derivative and uncertain parameters are considered

    Going Beyond Counting First Authors in Author Co-citation Analysis

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    The present study examines one of the fundamental aspects of author co-citation analysis (ACA) - the way co-citation counts are defined. Co-citation counting provides the data on which all subsequent statistical analyses and mappings are based, and we compare ACA results based on two different types of co-citation counting - the traditional type that only counts the first one among a cited work's authors on the one hand and a non-traditional type that takes into account the first 5 authors of a cited work on the other hand. Results indicate that the picture produced through this non-traditional author co-citation counting contains more coherent author groups and is therefore considerably clearer. However, this picture represents fewer specialties in the research field being studied than that produced through the traditional first-author co-citation counting when the same number of top-ranked authors is selected and analyzed. Reasons for these effects are discussed

    A computationally efficient implementation of a battery pack electrochemical model using waveform relaxation

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    Electrochemical models (EMs) can be used to accurately describe the phenomena occurring inside the cells composing a battery pack. However, the computational cost required for their numerical simulation grows exponentially with system size. The aim of this work is to propose a method based on the waveform relaxation framework able to provide a significant speed up in the simulation of large battery packs. The iterative approach we propose is based on the decomposition of the model in smaller submodels that are solved in parallel. The methodology is general and can be used in principle with any EM. A battery pack composed of parallel connected cells, modeled with a Single Particle Model with Electrolyte, Thermal and aging dynamics (SPMeT with aging), is used in this work as a proof of concept. Results show that using appropriate conditions, it is possible to obtain a significantly faster convergence than centralized methods to the solution of the original problem for realistic battery packs (e.g. Tesla Model S battery level — 74 cells in parallel) with a high level of precision

    Editorial: The Role of the Muscle Secretome in Health and Disease

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    myokines, exercise, muscle-derived secreted factors, circulating miRNA, extracellular vesicle
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