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459 466 16 4 ; SWORD Dizqah,A.M.,Busawon,K.,Fritzson,P.,2012.ACAUSALMODELINGAND SIMULATION OF THE STANDALONE SOLAR POWER SYSTEMS AS HYBRID DAEs. In: 53rd Int. Conf. Scand. Simul. Soc. pp. 1-7. ; [EN] In this paper a dynamic model of a battery that lets simulate different types of batteries in light electric urban vehicles applications is proposed. The model is directly parameterizable from discharging experimental curves in test facilities. It properly fits to the particular behaviour observed in the charging/discharging curves in LiFePo 4 batteries. For the calibration of the proposed model experimental data from an experimental facility have been used and validation results are presented. The model is implemented in the object oriented modelling language Modelica reusing classes from the Modelica Standard Library. The calibration and the calibration has been performed with Dymola modelling tool. A123 Systems, 2012. Nanophosphate High Power Lithium Ion Cell ANR26650M1-B. Ahmed, M., 2016. Modeling Lithium-ion Battery Chargers in PLECS R . Tech.rep. Ansean, D., Gonzalez, M., Viera, J. C., Alvarez, J. C., Blanco, C., García, V. M., 2013. Evaluation of LiFePO4batteries for Electric Vehicle applications. In: 2013 Int. Conf. New Concepts Smart Cities Foster. Public Priv. Alliances. IEEE, Gijon, Spain, p. 8. URL: https://ieeexplore.ieee.org/document/6708211 http://doi.org/10.1109/SmartMILE.2013.6708211 Berecibar, M., Garmendia, M., Gandiaga, I., Crego, J., Villarreal, I., 2016. State of health estimation algorithm of LiFePO4battery packs based on differential voltage curves for battery management system application. Energy 103, 784-796. https://doi.org/10.1016/j.energy.2016.02.163 Brondani, M. D. F., Sausen, A. T. Z. R., Sausen, P. S., Binelo, M. O., 2017. Battery Model Parameters Estimation Using Simulated Annealing. TEMA(Sao Carlos) 18 (1), 127. URL: https://tema.sbmac.org.br/tema/article/view/1003 https://doi.org/10.5540/tema.2017.018.01.0127 Dempsey, M., Gäfvert, M., Harman, P., Kral, C., Otter, M., Treffinger, ...

Aims: The aim of this systematic review and meta-analysis is to synthesize the available evidence in scientific papers of smokefree legislation effects on respiratory diseases and sensory and respiratory symptoms (cough, phlegm, red eyes, runny nose) among all populations. Materials and methods: Systematic review and meta-analysis were carried out. A search between January 1995 and February 2015 was performed in PubMed, EMBASE, Cochrane Library, Scopus, Web of Science, and Google Scholar databases. Inclusion criteria were: 1) original scientific studies about smokefree legislation, 2) Data before and after legislation were collected, and 3) Impact on respiratory and sensory outcomes were assessed. Paired reviewers independently carried out the screening of titles and abstracts, data extraction from full-text articles, and methodological quality assessment. Results: A total number of 1606 papers were identified. 50 papers were selected, 26 were related to symptoms (23 concerned workers). Most outcomes presented significant decreases in the percentage of people suffering from them, especially in locations with comprehensive measures and during the immediate post-ban period (within the first six months). Four (50%) of the papers concerning pulmonary function reported some significant improvement in expiratory parameters. Significant decreases were described in 13 of the 17 papers evaluating asthma hospital admissions, and there were fewer significant reductions in chronic obstructive pulmonary disease admissions (range 1–36%) than for asthma (5–31%). Six studies regarding different respiratory diseases showed discrepant results, and four papers about mortality reported significant declines in subgroups. Low bias risk was present in 23 (46%) of the studies. Conclusions: Smokefree legislation appears to improve respiratory and sensory symptoms at short term in workers (the overall effect being greater in comprehensive smokefree legislation in sensory symptoms) and, to a lesser degree, rates of hospitalization for asthma.