Browsing by Keyword "Electric Vehicle"
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Item Cooperative Simulation Tool with the Energy Management System for the Storage of Electricity Surplus through Hydrogen(2015) Díaz de Arcaya, A.; González-González, A.; Alzola, J.A.; Sánchez, V.The INGRID project aims at demonstrating the effective usage of safe, high-density, solid-state hydrogen storage systems for power supply and demand balancing within active power distribution grids with high penetration of intermittent Distributed Generation (Renewable Energy Sources in particular.) The INGRID simulator is divided in two main blocks: the first one represents the Energy Management System, the second one includes the Green Energy Storage System (water electrolyzer, hydrogen solid-storage systems and fuel cell) created to simulate the plant. This paper describes the modules of INGRID simulator and the transient responses of the system for an energy management system virtual according to the power prediction of renewable energy sources, hydrogen demand and the power demand of electric vehiclesItem An Integrated Approach for Dynamic Charging of Electric Vehicles by Wireless Power Transfer - Lessons Learned from Real-Life Implementation(2017) Karakitsios, Ioannis; Karfopoulos, Evangelos; Madjarov, Nikolay; Bustillo, Aitor; Ponsar, Marc; Del Pozo, Dionisio; Marengo, Luca; SGThe aim of this paper is to introduce a complete fast dynamic inductive charging infrastructure from the back-office system (EV management system) up to the Electric Vehicle (EV) (inductive power transfer module, positioning mechanism, electric vehicle modifications) and the EV user (User interface). Moreover, in order to assess the impact of the additional demand of inductive charging on the grid operation, an estimation of the 24-hour power profile of dynamic inductive charging is presented considering, apart from the road traffic, the probability of the need for fast charging, as well as the specifications of the proposed solution. In addition, an energy management system is presented enabling the management of the operation of the inductive charging infrastructure, the interaction with the EV users and the provision of demand response services to different stakeholders. The proposed dynamic inductive charging approach has been demonstrated within a real urban environment in order to provide useful insights regarding the experience gained from a real-field trial. The relevant practical conclusions are also discussed in this paper. Finally, a cost/benefit analysis, according to the Discounted Cash Flow (DCF) principles, is performed in order to assess the economic viability of the proposed solution.Item Intelligent Torque Vectoring Approach for Electric Vehicles with Per-Wheel Motors(2018) Parra, Alberto; Zubizarreta, Asier; Pérez, Joshué; Dendaluce, Martín; Tecnalia Research & Innovation; CCAMTransport electrification is currently a priority for authorities, manufacturers, and research centers around the world. The development of electric vehicles and the improvement of their functionalities are key elements in this strategy. As a result, there is a need for further research in emission reduction, efficiency improvement, or dynamic handling approaches. In order to achieve these objectives, the development of suitable Advanced Driver-Assistance Systems (ADAS) is required. Although traditional control techniques have been widely used for ADAS implementation, the complexity of electric multimotor powertrains makes intelligent control approaches appropriate for these cases. In this work, a novel intelligent Torque Vectoring (TV) system, composed of a neuro-fuzzy vertical tire forces estimator and a fuzzy yaw moment controller, is proposed, which allows enhancing the dynamic behaviour of electric multimotor vehicles. The proposed approach is compared with traditional strategies using the high fidelity vehicle dynamics simulator Dynacar. Results show that the proposed intelligent Torque Vectoring system is able to increase the efficiency of the vehicle by 10%, thanks to the optimal torque distribution and the use of a neuro-fuzzy vertical tire forces estimator which provides 3 times more accurate estimations than analytical approaches.Item Simulation Platform for Coordinated Charging of Electric Vehicles(2015) Díaz de Arcaya, A.; Lázaro, G.; González-González, A.; Sánchez, V.EMERALD is a project funded by the European Commission under the FP7 program focusing on energy use optimization on the integration of the FEVs into the transport and energy infrastructure. Between the objectives of EMERALD, enhanced power demand prediction and power flow support management system uses the power flow demand simulation platform considered in this paper. The power flow demand simulation platform is a software tool that defines the estimation of FEVs power demand according to different conditions as, arrival and departure curves, the estimation of power production based on renewable energy sources and the electricity cost. The tool coordinates scheduling for charging of FEVs in order to minimize the recharging cost, considering the energy balance between the generation and demand power