Mostrar el registro sencillo del ítem
dc.contributor.author | Rubio, Francisco | es_ES |
dc.contributor.author | Llopis-Albert, Carlos | es_ES |
dc.date.accessioned | 2019-05-20T10:34:26Z | |
dc.date.available | 2019-05-20T10:34:26Z | |
dc.date.issued | 2019-05-20 | |
dc.identifier.uri | http://hdl.handle.net/10251/120732 | |
dc.description.abstract | [EN] This paper presents a feasibility study of applying a fluid energy recovery system by means of wind turbines for charging batteries of electric vehicles. This is because the main disadvantage of electric vehicles with regard to conventional fuel automobiles is the scarce capacity of storing sufficient energy to run long distances. This can be carried out by recovering a percentage of the energy used to overcome the aerodynamic drag of the vehicle. This work analysis different case studies, with different driving modes, to quantify the theoretical energy recovered from the vehicle aerodynamics. Results have shown the theoretical possibility to implement this technology in actual electric vehicles. | es_ES |
dc.language | Inglés | es_ES |
dc.publisher | Universitat Politècnica de València | |
dc.relation.ispartof | Multidisciplinary Journal for Education, Social and Technological Sciences | |
dc.rights | Reconocimiento - No comercial - Sin obra derivada (by-nc-nd) | es_ES |
dc.subject | Electric vehicles | es_ES |
dc.subject | Wind turbines | es_ES |
dc.subject | Energy recovery | es_ES |
dc.subject | Aerodynamics | es_ES |
dc.subject | Battery charging | es_ES |
dc.title | Viability of using wind turbines for electricity generation in electric vehicles | es_ES |
dc.type | Artículo | es_ES |
dc.date.updated | 2019-05-20T09:57:05Z | |
dc.identifier.doi | 10.4995/muse.2019.11743 | |
dc.rights.accessRights | Abierto | es_ES |
dc.description.bibliographicCitation | Rubio, F.; Llopis-Albert, C. (2019). Viability of using wind turbines for electricity generation in electric vehicles. Multidisciplinary Journal for Education, Social and Technological Sciences. 6(1):115-126. https://doi.org/10.4995/muse.2019.11743 | es_ES |
dc.description.accrualMethod | SWORD | es_ES |
dc.relation.publisherversion | https://doi.org/10.4995/muse.2019.11743 | es_ES |
dc.description.upvformatpinicio | 115 | es_ES |
dc.description.upvformatpfin | 126 | es_ES |
dc.type.version | info:eu-repo/semantics/publishedVersion | es_ES |
dc.description.volume | 6 | |
dc.description.issue | 1 | |
dc.identifier.eissn | 2341-2593 | |
dc.description.references | Bangi, V.K.T., Chaudhary, Y.; Guduru, R.K.; Aung, K.T., Reddy, G.N. (2017). Preliminary investigation on generation of electricity using micro wind turbines placed on a car. International Journal of Renewable Energy Development, 6(1), pp. 75-81. https://doi.org/10.14710/ijred.6.1.75-81 | es_ES |
dc.description.references | Ferdous, S.M, Salehin, S, Bin Khaled, W. (2011). Electric Vehicle with Charging Facility in Motion using Wind Energy. World Renewable Energy Congress 2011 - Sweden Sustainable Transport (ST), 8-11 May 2011, Linköping, Sweden. https://doi.org/10.3384/ecp110573629 | es_ES |
dc.description.references | Llopis-Albert, C., Rubio, F., Valero, F., (2019). Fuzzy-set qualitative comparative analysis applied to the design of a network flow of automated guided vehicles for improving business productivity. Journal of Business Research, https://doi.org/10.1016/j.jbusres.2018.12.076 | es_ES |
dc.description.references | Llopis-Albert, C. Rubio, F., Valero, F. (2018). Designing Efficient Material Handling Systems Via Automated Guided Vehicles (AGVs). Multidisciplinary Journal for Education, Social and Technological Sciences, 5(2), 97-105. https://doi.org/10.4995/muse.2018.10722 | es_ES |
dc.description.references | Llopis-Albert, C., Merigó, J.M., Xu, Y.J. (2016). A coupled stochastic inverse/sharp interface seawater intrusion approach for coastal aquifers under groundwater parameter uncertainty. Journal of Hydrology 540, 774-783. https://doi.org/10.1016/j.jhydrol.2016.06.065 | es_ES |
dc.description.references | Llopis-Albert, C. Rubio, F., Valero, F. (2018a). Optimization approaches for robot trajectory planning. Multidisciplinary Journal for Education 5(1), 1-16. https://doi.org/10.4995/muse.2018.9867 | es_ES |
dc.description.references | Llopis-Albert, C., Rubio, F., Valero, F. (2015). Improving productivity using a multi-objective optimization of robotic trajectory planning. Journal of Business Research 68, 1429-1431. https://doi.org/10.1016/j.jbusres.2015.01.027 | es_ES |
dc.description.references | Llopis-Albert, C., Pulido-Velazquez, D. (2015). Using MODFLOW code to approach transient hydraulic head with a sharp-interface solution. Hydrological processes 29(8), 2052-2064. https://doi.org/10.1002/hyp.10354 | es_ES |
dc.description.references | Llopis-Albert, C., Capilla, J.E. (2010). Stochastic Simulation of Non-Gaussian 3D Conductivity Fields in a Fractured Medium with Multiple Statistical Populations: Case Study. Journal of Hydrologic Engineering 15(7), 554-566. https://doi.org/10.1061/(ASCE)HE.1943-5584.0000214 | es_ES |
dc.description.references | Rubio, F., Llopis-Albert, C., Valero, F., Besa, A.J. (2019). A new approach to the kinematic modeling of a three-dimensional car-like robot with differential drive using computational mechanics. Advances in Mechanical Engineering, https://doi.org/10.1177/1687814019825907 | es_ES |
dc.description.references | Rubio, F., Valero, F., Llopis-Albert, C. (2019a). A review of mobile robots: Concepts, methods, theoretical framework, and applications. International Journal of Advanced Robotic Systems, 16(2). | es_ES |
dc.description.references | https://doi.org/10.1177/1729881419839596 | es_ES |
dc.description.references | Rubio, F., Llopis-Albert, C., Valero, F., Suñer, J.L. (2016). Industrial robot efficient trajectory generation without collision through the evolution of the optimal trajectory. Robotics and Autonomous Systems 86, 106-112. https://doi.org/10.1016/j.robot.2016.09.008 | es_ES |
dc.description.references | Rubio, F., Llopis-Albert, C., Valero, F., Suñer, J.L. (2015). Assembly line productivity assessment by comparing optimization-simulation algorithms of trajectory planning for industrial robots. Mathematical Problems in Engineering, vol. 2015, Article ID 931048, 10 pages, 2015. https://doi.org/10.1155/2015/931048 | es_ES |
dc.description.references | Valero, F., Rubio, F., Llopis-Albert, C. (2019). Assessment of the Effect of Energy Consumption on Trajectory Improvement for a Car-like Robot. Robotica, 1-12. https://doi.org/10.1017/S0263574719000407 | es_ES |
dc.description.references | Valero, F., Rubio, F., Llopis-Albert, C., Cuadrado, J.I. (2017). Influence of the Friction Coefficient on the Trajectory Performance for a Car-Like Robot. Mathematical Problems in Engineering, vol. 2017, Article ID 4562647, 9 pages. https://doi.org/10.1155/2017/4562647 | es_ES |
dc.description.references | Wen-Long Yao, A. and Chiu, C.-H (2015). Development of a Wind Power System on Trucks. Universal Journal of Mechanical Engineering, 3(5), pp. 151-163. https://doi.org/10.13189/ujme.2015.030501 | es_ES |
dc.description.references | Zheng, X., Lin, H., Liu, Z., Li, D., Llopis-Albert, C., Zeng, S (2018). Manufacturing Decisions and Government Subsidies for Electric Vehicles in China: A Maximal Social Welfare Perspective. Sustainability, 10(3), 672. https://doi.org/10.3390/su10030672 | es_ES |