Browsing by Author "Valera, J. J."
Now showing 1 - 5 of 5
Results Per Page
Sort Options
Item CITYELEC: A global solution approach for the electrification of urban mobility in Spain(2011) Iglesias, I.; Valera, J. J.; INNOV_AIR_MOBILUrban mobility electrification is a high complex optimization problem, which needs to be approached from an integrated point of view in terms of electric infrastructure and electric vehicle fleet connection. In a first stage is necessary to define the high level specifications, and the optimal size for both infrastructure and electric vehicle fleet, according to the sustainable mobility expected targets of the city analyzed, e.g. mobility covered/filled areas, emission reduction, consumption reduction, cost reduction, energy & mobility efficiencies. In order to obtain the optimum integrated solution, a global approach of the problem is essential, moving from the high level definition of electric vehicle fleet and infrastructure, to the more detailed definition of systems and subsystems derived. CITYELEC is a strategy R&D Spanish project, analyzing, covering and solving the particular urban mobility electrification problem in some cities of Spain, starting from the high level definition of the urban mobility issues, and concluding in the detailed definition of the vehicle and infrastructure specifications. In CITYELEC project, special methodologies, global modelling and simulation tools, and advanced systems and subsystems are being under research and development, aiming for the optimum electro mobility integrated solution, including the infrastructure and the electric vehicle fleet.Item Development and validation of dynacar RT software, a new integrated solution for design of electric and hybrid vehicles(2012) Pena, A.; Iglesias, I.; Valera, J. J.; Martin, A.; Tecnalia Research & Innovation; INNOV_AIR_MOBILVehicle modelling and simulation is becoming a key competence for the development of the electrified vehicle systems, from preliminary designs to implementation and validation phases. Usually different vehicle models are used in design phases, leading to lack of traceability and robustness in the design process. An integrated approach is presented in order to allow automotive engineers to use a single vehicle model from the very beginning of the design to the most severe hardware in the loop and powertrain in the loop requirements. The new modelling concept presented has been validated with a 100kW electric race car in a test track. Validation results compared to simulation predictions are presented in the paper.Item Development and validation of Dynacar RT software, a new integrated solution for design of electric and hybrid vehicles(2012) Pena, A.; Iglesias, I.; Valera, J. J.; Martin, A.; Tecnalia Research & Innovation; INNOV_AIR_MOBILVehicle modelling and simulation is becoming a key competence for the development of the electrified vehicle systems, from preliminary designs to implementation and validation phases. Usually different vehicle models are used in design phases, leading to lack of traceability and robustness in the design process. An integrated approach is presented in order to allow automotive engineers to use a single vehicle model from the very beginning of the design to the most severe hardware in the loop and powertrain in the loop requirements. The new modelling concept presented has been validated with a 100kW electric race car in a test track. Validation results compared to simulation predictions are presented in the paper.Item Driving cycle and road grade on-board predictions for the optimal energy management in EV-PHEVs(Institute of Electrical and Electronics Engineers Inc., 2014-10-01) Valera, J. J.; Heriz, B.; Lux, G.; Caus, J.; Bader, B.; Tecnalia Research & InnovationThe prediction of the driving cycle (vehicle speed profile versus time) and the road grade cycle (road grade profile versus time) can improve a variety of vehicle functions, especially the energy management of HEVs and PHEVs. The variability of the driving conditions (environment) together with the nonlinear and variable driver behaviour (driving style) makes the driving cycle 'on-board & real-time' prediction a highly complex task. This paper proposes an intelligent technique for the real time prediction of the vehicle speed and road grade profiles for the (selected) time horizon whilst the vehicle is in route. The proposed method uses an Artificial Neural Network which processes both the vehicle speed measurement (current and previous data samples) and some information related to the driving conditions present in the route, which could be obtained in advance from the new generation of vehicle navigation systems. The driving cycle and road grade on-board predictions allow the energy management system of HEV/PHEVs to achieve further reductions of fuel consumptions.Item NCV2015: A networked range extended electric vehicle for clean and efficient mobility(2012) Valera, J. J.; Heriz, B.; Arejita, B.; Isasi, L.; Tecnalia Research & Innovation; CCAMA Networked Range Extended Electric Vehicle (NCV2015) has been developed as a mobile platform for researching in technologies, powertrain system components and control algorithms for the future generation of low environmental impact electrified vehicles. An overview of the NCV2015 vehicle, including its control & I2V (Infrastructure to Vehicle) communication systems are presented in this paper. Thanks to the Information & Communication Technologies (ICTs) and the Intelligent Transport Systems (ITSs), the intelligent and optimized energy management strategies (i-EMSs) can be designed and tested thus improving the vehicle performance in terms of range, fuel consumption, and emissions. The i-EMS installed on the NCV2015, including its benefits and future improvements, is finally presented and discussed in this paper.