This page has only limited features, please log in for full access.
ALICIA TRIVIÑO-CABRERA was born in Málaga, Spain. She received her master’s degrees in telecommunication engineering and computer science engineering from the University of Málaga, Spain, in 2002 and 2008, respectively. Her thesis, which was defended in 2007, focused on wireless networks. She is currently working as an Associate Professor with the University of Málaga. In the area related to electric vehicles wireless chargers she has actively participated in the design and development of three prototypes, including features as bi-directionality and dynamic charge. Since 2011, her research interests have included wireless power transfer.
This research focuses on a photovoltaic system that powers an Electric Vehicle when moving in realistic scenarios with partial shading conditions. The main goal is to find an efficient control scheme to allow the solar generator producing the maximum amount of power achievable. The first contribution of this paper is the mathematical modelling of the photovoltaic system, its function and its features, considering the synthesis of the step-up converter and the maximum power point tracking analysis. This research looks at two intelligent control strategies to get the most power out, even with shading areas. Specifically, we show how to apply two evolutionary algorithms for this control. They are the “particle swarm optimization method” and the “grey wolf optimization method”. These algorithms were tested and evaluated when a battery storage system in an Electric Vehicle is fed through a photovoltaic system. The Simulink/Matlab tool is used to execute the simulation phases and to quantify the performances of each of these control systems. Based on our simulation tests, the best method is identified.
Habib Kraiem; Flah Aymen; Lobna Yahya; Alicia Triviño; Mosleh Alharthi; Sherif S. M. Ghoneim. A Comparison between Particle Swarm and Grey Wolf Optimization Algorithms for Improving the Battery Autonomy in a Photovoltaic System. Applied Sciences 2021, 11, 7732 .
AMA StyleHabib Kraiem, Flah Aymen, Lobna Yahya, Alicia Triviño, Mosleh Alharthi, Sherif S. M. Ghoneim. A Comparison between Particle Swarm and Grey Wolf Optimization Algorithms for Improving the Battery Autonomy in a Photovoltaic System. Applied Sciences. 2021; 11 (16):7732.
Chicago/Turabian StyleHabib Kraiem; Flah Aymen; Lobna Yahya; Alicia Triviño; Mosleh Alharthi; Sherif S. M. Ghoneim. 2021. "A Comparison between Particle Swarm and Grey Wolf Optimization Algorithms for Improving the Battery Autonomy in a Photovoltaic System." Applied Sciences 11, no. 16: 7732.
A communication network management system takes the measurements of its state variables at specific instants of time, considering them constant in the interval between two consecutive measurements. Nevertheless, this assumption is not true, since these variables evolve in real time. Therefore, uncertainty is inherent in the processing of the measurements during the intervals so that they cannot be efficiently managed using crisp variables. In this paper, we face this problem by modeling the communications network as a type-V fuzzy graph, where both the nodes and the links are described with precision, but the cost of each link is modeled as a triangular fuzzy number. Different fuzzy cost allocation functions and fuzzy optimization strategies are described and applied to the search for the shortest path between two nodes. An experimental study has been conducted using two representative networks: the backbone network of Nippon Telegraph and Telephone Corporation (NTT) and the National Science Foundation’s Network (NFSNET). In these networks, our fuzzy cost functions and strategies have been compared with the well-known crisp equivalents. The optimal search strategies are based on the proposed Fuzzy Dijkstra Algorithm (FDA), which is described deeply. The simulation results demonstrate that in all cases the fuzzy alternatives surpass or equal the crisp equivalents with statistically significant values. Specifically, the so-called Strategy 8 presents the best throughput, as it significantly exceeds the performance of all those evaluated, achieving a Global Mean Delivery Rate (GMDR) close to 1.
Lissette Valdés; Alfonso Ariza; Sira M. Allende; Alicia Triviño; Gonzalo Joya. Search of the Shortest Path in a Communication Network with Fuzzy Cost Functions. Symmetry 2021, 13, 1534 .
AMA StyleLissette Valdés, Alfonso Ariza, Sira M. Allende, Alicia Triviño, Gonzalo Joya. Search of the Shortest Path in a Communication Network with Fuzzy Cost Functions. Symmetry. 2021; 13 (8):1534.
Chicago/Turabian StyleLissette Valdés; Alfonso Ariza; Sira M. Allende; Alicia Triviño; Gonzalo Joya. 2021. "Search of the Shortest Path in a Communication Network with Fuzzy Cost Functions." Symmetry 13, no. 8: 1534.
Due to their flexibility, Electric Vehicles (EVs) constitute an important asset for the integration of renewable energy sources in the Smart Grid. In particular, they should have a dual role: as a controllable load and as a mobile generator with a low inertia. To perform these tasks, chargers must provide the electronics with a power flow from the grid to the vehicle and vice versa. This bidirectionality can also be implemented in wireless chargers. The power converters, the compensation networks and the coil misalignment must be considered when designing the control of these systems. This paper presents a review about the proposed algorithms to control the active and the reactive power flow in a bidirectional wireless charger.
Alicia Triviño; Jose Gonzalez-Gonzalez; Miguel Castilla. Review on Control Techniques for EV Bidirectional Wireless Chargers. Electronics 2021, 10, 1905 .
AMA StyleAlicia Triviño, Jose Gonzalez-Gonzalez, Miguel Castilla. Review on Control Techniques for EV Bidirectional Wireless Chargers. Electronics. 2021; 10 (16):1905.
Chicago/Turabian StyleAlicia Triviño; Jose Gonzalez-Gonzalez; Miguel Castilla. 2021. "Review on Control Techniques for EV Bidirectional Wireless Chargers." Electronics 10, no. 16: 1905.
Wireless charging is a convenient method of charging Electric Vehicles (EVs). Its application has been widely studied for electric cars but so far there have been limited experiments for electric bicycles (e-bikes). This paper addresses the design process and implementation details related to a wireless charger for a specific e-bike. Some issues such as the position of the secondary coil or the control algorithm prove to be crucial to the performance of the wireless transfer. Concerning the placement of the secondary coil, the paper proposes and validates a theoretical model to quantify the effects of the surrounding interfering materials. A CC-CV (Constant Current - Constant Voltage) control algorithm has been implemented to validate the theoretical results in these two charging phases. The control, the coils and the compensation networks have been designed to be simple and robust. The theoretical model, the charger and its control have proven to be effective in a real 84-W e-bike.
Alicia Trivino-Cabrera; Jose M. Gonzalez-Gonzalez; Jose A. Aguado. Design and Implementation of a Cost-Effective Wireless Charger for an Electric Bicycle. IEEE Access 2021, 9, 85277 -85288.
AMA StyleAlicia Trivino-Cabrera, Jose M. Gonzalez-Gonzalez, Jose A. Aguado. Design and Implementation of a Cost-Effective Wireless Charger for an Electric Bicycle. IEEE Access. 2021; 9 (99):85277-85288.
Chicago/Turabian StyleAlicia Trivino-Cabrera; Jose M. Gonzalez-Gonzalez; Jose A. Aguado. 2021. "Design and Implementation of a Cost-Effective Wireless Charger for an Electric Bicycle." IEEE Access 9, no. 99: 85277-85288.
The expansion on the use of Electric Vehicles demands new mechanisms to ease the charging process, making it autonomous and with a reduced user intervention. This paper reviews the technologies applied to the wireless charge of Electric Vehicles. In particular, it focuses on the technologies based on the induction principle, the capacitive-based techniques, those that use radiofrequency waves and the laser powering. As described, the convenience of each technique depends on the requirements imposed on the wireless power transfer. Specifically, we can state that the power level, the distance between the power source and the electric vehicle or whether the transfer is executed with the vehicle on the move or not or the cost are critical parameters that need to be taken into account to decide which technology to use. In addition, each technique requires some complementary electronics. This paper reviews the main components that are incorporated into these systems and it provides a review of their most relevant configurations.
Alicia Triviño; José González-González; José Aguado. Wireless Power Transfer Technologies Applied to Electric Vehicles: A Review. Energies 2021, 14, 1547 .
AMA StyleAlicia Triviño, José González-González, José Aguado. Wireless Power Transfer Technologies Applied to Electric Vehicles: A Review. Energies. 2021; 14 (6):1547.
Chicago/Turabian StyleAlicia Triviño; José González-González; José Aguado. 2021. "Wireless Power Transfer Technologies Applied to Electric Vehicles: A Review." Energies 14, no. 6: 1547.
The automotive industry is undergoing a transition towards cleaner and more efficient technologies. Electric Vehicles (EVs) play a relevant role in this scenario. However, these vehicles continue to suffer from limitations in terms of autonomy and charging times, which can be alleviated with wireless charging technology. This technology facilitates the charging process but has a lower efficiency when compared with conductive chargers. This effect is particularly severe under misalignment conditions and with the usual variations of the battery's electrical features. In order to avoid this disadvantage, this paper presents a predictive control algorithm focused on maximizing the charging efficiency. As a novelty, the algorithm sets three configuration parameters in the power converters of the system. The main advantage lies in the fact that it does not need constant monitoring and offers very low response times. This control also improves compatibility with different automobile manufacturers, adding the capacity to work with receivers and batteries with diverse characteristics while complying with international standards. The validity of the proposal is verified by theoretical analysis, simulations and the experimental results of a 2-kW prototype. The results show the feasibility of the proposed control and the improvement in the efficiency of the system.
Jose Manuel Gonzalez-Gonzalez; Alicia Trivino; Jose A. Aguado. Model Predictive Control to Maximize the Efficiency in EV Wireless Chargers. IEEE Transactions on Industrial Electronics 2021, PP, 1 -1.
AMA StyleJose Manuel Gonzalez-Gonzalez, Alicia Trivino, Jose A. Aguado. Model Predictive Control to Maximize the Efficiency in EV Wireless Chargers. IEEE Transactions on Industrial Electronics. 2021; PP (99):1-1.
Chicago/Turabian StyleJose Manuel Gonzalez-Gonzalez; Alicia Trivino; Jose A. Aguado. 2021. "Model Predictive Control to Maximize the Efficiency in EV Wireless Chargers." IEEE Transactions on Industrial Electronics PP, no. 99: 1-1.
Electric Vehicles (EVs) are gaining more and more user acceptances due to their clean, efficient and environmentally friendly nature. Currently, most commercial EVs use conductive charging for their batteries. Inductive charging, which is an alternative charging technology, has recently received a great deal of attention because of its increased user convenience and safety. It is forecast that the two charging technologies will be implemented in future charging infrastructures globally. Consequently, future EVs need to be capable of dealing with both charging methods. So far, there has been only a very few charging topologies reported in the literature that describe both charging methods in the same vehicle. However, solutions that have been proposed do not show significant component reduction. This paper proposes a hybrid charger system where the high frequency transformer of an on-board DC-DC converter becomes the coupling point between conductive and inductive charging. Using this coupling point, the circuit utilizes the same components for conductive and for inductive charging. This results in the reduction of component count and therefore improved integration. The proposed system is verified by both simulation and experiment. For the experiment, a 3-kW prototype has been built and tested. A maximum efficiency of 97.4% and 93.6% was achieved in conductive and inductive mode, respectively.
Binh Vu; Jose M. Gonzalez-Gonzalez; Volker Pickert; Mohamed Dahidah; Alicia Trivino. A hybrid charger of conductive and inductive modes for Electric Vehicles. IEEE Transactions on Industrial Electronics 2020, PP, 1 -1.
AMA StyleBinh Vu, Jose M. Gonzalez-Gonzalez, Volker Pickert, Mohamed Dahidah, Alicia Trivino. A hybrid charger of conductive and inductive modes for Electric Vehicles. IEEE Transactions on Industrial Electronics. 2020; PP (99):1-1.
Chicago/Turabian StyleBinh Vu; Jose M. Gonzalez-Gonzalez; Volker Pickert; Mohamed Dahidah; Alicia Trivino. 2020. "A hybrid charger of conductive and inductive modes for Electric Vehicles." IEEE Transactions on Industrial Electronics PP, no. 99: 1-1.
Clustering algorithms are necessary in Wireless Sensor Networks to reduce the energy consumption of the overall nodes. The decision of which nodes are the cluster heads (CHs) greatly affects the network performance. The centralized clustering algorithms rely on a sink or Base Station (BS) to select the CHs. To do so, the BS requires extensive data from the nodes, which sometimes need complex hardware inside each node or a significant number of control messages. Alternatively, the nodes in distributed clustering algorithms decide about which the CHs are by exchanging information among themselves. Both centralized and distributed clustering algorithms usually alternate the nodes playing the role of the CHs to dynamically balance the energy consumption among all the nodes in the network. This paper presents a distributed approach to form the clusters dynamically, but it is occasionally supported by the Base Station. In particular, the Base Station sends three messages during the network lifetime to reconfigure the s k i p value of the network. The s k i p , which stands out as the number of rounds in which the same CHs are kept, is adapted to the network status in this way. At the beginning of each group of rounds, the nodes decide about their convenience to become a CH according to a fuzzy-logic system. As a novelty, the fuzzy controller is as a Tagaki–Sugeno–Kang model and not a Mandami-one as other previous proposals. The clustering algorithm has been tested in a wide set of scenarios, and it has been compared with other representative centralized and distributed fuzzy-logic based algorithms. The simulation results demonstrate that the proposed clustering method is able to extend the network operability.
Antonio-Jesus Yuste-Delgado; Juan-Carlos Cuevas-Martinez; Alicia Triviño-Cabrera. A Distributed Clustering Algorithm Guided by the Base Station to Extend the Lifetime of Wireless Sensor Networks. Sensors 2020, 20, 2312 .
AMA StyleAntonio-Jesus Yuste-Delgado, Juan-Carlos Cuevas-Martinez, Alicia Triviño-Cabrera. A Distributed Clustering Algorithm Guided by the Base Station to Extend the Lifetime of Wireless Sensor Networks. Sensors. 2020; 20 (8):2312.
Chicago/Turabian StyleAntonio-Jesus Yuste-Delgado; Juan-Carlos Cuevas-Martinez; Alicia Triviño-Cabrera. 2020. "A Distributed Clustering Algorithm Guided by the Base Station to Extend the Lifetime of Wireless Sensor Networks." Sensors 20, no. 8: 2312.
Wireless Power Transfer is an alternative technique for powering remote devices across small gaps where the use of cables is not suitable. Such technique requires inductive coupled coils in a tuned circuit in order to efficiently transfer power to a load. Thus, the power transferred to the load is very sensible to variations in the position between the transmitter and receiver coils as well as the variations in the load. This work presents a multi-variable dynamic method for tracking the maximum possible output power in a wireless power transfer system robust to misalignments and load variations. An electronic system, located in the transmitter, monitors the magnitude and phase of the input current of the inductive link while actuating in both the source frequency and a variable matching network executing the tracking algorithm. Experimental results showed that the power delivered to the load, controlled only by the transmitter, can be substantially increased in low values of magnetic coupling coefficient k. Also, the power the can be held approximately constant over a large range of magnetic coupling coefficients and load values. This are significant improvements on the results obtained by actuating only on the source frequency or only on the matching network.
Lucas Murliky; Rodrigo Wolff Porto; Valner João Brusamarello; Fernando Rangel de Sousa; Alicia Triviño-Cabrera. Active Tuning of Wireless Power Transfer System for compensating coil misalignment and variable load conditions. AEU - International Journal of Electronics and Communications 2020, 119, 153166 .
AMA StyleLucas Murliky, Rodrigo Wolff Porto, Valner João Brusamarello, Fernando Rangel de Sousa, Alicia Triviño-Cabrera. Active Tuning of Wireless Power Transfer System for compensating coil misalignment and variable load conditions. AEU - International Journal of Electronics and Communications. 2020; 119 ():153166.
Chicago/Turabian StyleLucas Murliky; Rodrigo Wolff Porto; Valner João Brusamarello; Fernando Rangel de Sousa; Alicia Triviño-Cabrera. 2020. "Active Tuning of Wireless Power Transfer System for compensating coil misalignment and variable load conditions." AEU - International Journal of Electronics and Communications 119, no. : 153166.
Clustering is presently one of the main routing techniques employed in randomly deployed wireless sensor networks. This paper describes a novel centralized unequal clustering method for wireless sensor networks. The goals of the algorithm are to prolong the network lifetime and increase the reliability of the network while not compromising the data transmission. In the proposed method, the Base Station decides on the cluster heads according to the best scores obtained from a Type-2 Fuzzy system. The input parameters of the fuzzy system are estimated by the base station or gathered from the network with a careful design that reduces the control message exchange. The whole network is controlled by the base station in a rounds-based schedule that alternates rounds when the base station elects cluster heads, with other rounds in which the cluster heads previously elected, gather data from their contributing nodes and forward them to the base station. The setting of the number of rounds in which the Base Station keeps the same set of cluster heads is another contribution of the present paper. The results show significant improvements achieved by the proposal when compared to other current clustering methods.
Juan-Carlos Cuevas-Martinez; Antonio-Jesus Yuste-Delgado; Antonio-Jose Leon-Sanchez; Antonio-Jose Saez-Castillo; Alicia Triviño-Cabrera. A New Centralized Clustering Algorithm for Wireless Sensor Networks. Sensors 2019, 19, 4391 .
AMA StyleJuan-Carlos Cuevas-Martinez, Antonio-Jesus Yuste-Delgado, Antonio-Jose Leon-Sanchez, Antonio-Jose Saez-Castillo, Alicia Triviño-Cabrera. A New Centralized Clustering Algorithm for Wireless Sensor Networks. Sensors. 2019; 19 (20):4391.
Chicago/Turabian StyleJuan-Carlos Cuevas-Martinez; Antonio-Jesus Yuste-Delgado; Antonio-Jose Leon-Sanchez; Antonio-Jose Saez-Castillo; Alicia Triviño-Cabrera. 2019. "A New Centralized Clustering Algorithm for Wireless Sensor Networks." Sensors 19, no. 20: 4391.
Modern distribution systems with high penetration of Electric Vehicles (EVs) are the focus of increasing attention. EVs charging strategies impact on power networks operation and they can even affect driving patterns when considering Vehicle-to-Grid (V2G) market-driven scenarios. This paper proposes a joint EV routing and charging/discharging scheduling strategy to operate an EV fleet. Particularly, we propose a mathematical framework based on a mixed-integer linear programming problem with the goal of maximizing the revenue of EV users. This approach is illustrated and tested using the IEEE 37-node test feeder. The results show that slight changes in driving patterns can provide benefits to EV users and improve the network operation. The correct design of the price dynamics is concluded to be key for promoting V2G participation.
Alicia Triviño-Cabrera; José A. Aguado; Sebastián de la Torre. Joint routing and scheduling for electric vehicles in smart grids with V2G. Energy 2019, 175, 113 -122.
AMA StyleAlicia Triviño-Cabrera, José A. Aguado, Sebastián de la Torre. Joint routing and scheduling for electric vehicles in smart grids with V2G. Energy. 2019; 175 ():113-122.
Chicago/Turabian StyleAlicia Triviño-Cabrera; José A. Aguado; Sebastián de la Torre. 2019. "Joint routing and scheduling for electric vehicles in smart grids with V2G." Energy 175, no. : 113-122.
Antonio Jesus Yuste-Delgado; Juan Carlos Cuevas-Martinez; Alicia Trivino-Cabrera. EUDFC - Enhanced Unequal Distributed Type-2 Fuzzy Clustering Algorithm. IEEE Sensors Journal 2019, 19, 4705 -4716.
AMA StyleAntonio Jesus Yuste-Delgado, Juan Carlos Cuevas-Martinez, Alicia Trivino-Cabrera. EUDFC - Enhanced Unequal Distributed Type-2 Fuzzy Clustering Algorithm. IEEE Sensors Journal. 2019; 19 (12):4705-4716.
Chicago/Turabian StyleAntonio Jesus Yuste-Delgado; Juan Carlos Cuevas-Martinez; Alicia Trivino-Cabrera. 2019. "EUDFC - Enhanced Unequal Distributed Type-2 Fuzzy Clustering Algorithm." IEEE Sensors Journal 19, no. 12: 4705-4716.
Wireless power transfer (WPT) systems are involved in multiple and heterogeneous applications. This diversity is reflected in several factors such as the amount of power that is transferred or the distance separating the energy source and the receiver. In the current research work, the authors find several groups of technologies that try to adapt the process to the particularities of the application. In this way, wireless power transfer can be achieved with an inductive technology, with a resonant-inductive approach, or with a strongly coupled magnetic resonant configuration. This chapter focuses on strongly coupled magnetic resonant technology, which is appropriate for home applications.
Alicia Triviño-Cabrera; José A. Aguado. Analysis of the Strongly Coupled Magnetic Resonant Technology for Wireless Power Transfer. Design Methodologies and Tools for 5G Network Development and Application 2019, 1 -22.
AMA StyleAlicia Triviño-Cabrera, José A. Aguado. Analysis of the Strongly Coupled Magnetic Resonant Technology for Wireless Power Transfer. Design Methodologies and Tools for 5G Network Development and Application. 2019; ():1-22.
Chicago/Turabian StyleAlicia Triviño-Cabrera; José A. Aguado. 2019. "Analysis of the Strongly Coupled Magnetic Resonant Technology for Wireless Power Transfer." Design Methodologies and Tools for 5G Network Development and Application , no. : 1-22.
Due to the limitations of batteries, the proliferation of the Electric Vehicle (EV) strongly depends on the charging technology offered to the users. By now, the most popular approach to charge/discharge a vehicle relies on the physical connection between the charger and the EV. As an alternative, wireless chargers are gaining more attention as they reduce the user's intervention during the charge process and they also allow to recharge the vehicle even when it is moving. This chapter focuses on the technology of wireless chargers for EV and their effects on the grid. When considering the effects on the grid, it must be considered the particularities of the wireless technology and how/when the vehicles are charged and discharged. This latter issue is especially relevant for wireless charge, which permits car to be recharged even when they are moving (dynamic charge). In particular, two effects are considered in this chapter. The first one deals with the electrical features of the charger, that is, how harmonics and the power factor are controlled and how bidirectionality is implemented. In addition, the second aspect covered in the chapter reviews the different methods by which the scheduling of electric vehicles should be adapted to the particularities of the wireless charging technology.
Alicia Triviño-Cabrera; José A. Aguado. Wireless Charging for Electric Vehicles in the Smart Cities: Technology Review and Impact. Transportation and Power Grid in Smart Cities 2018, 411 -426.
AMA StyleAlicia Triviño-Cabrera, José A. Aguado. Wireless Charging for Electric Vehicles in the Smart Cities: Technology Review and Impact. Transportation and Power Grid in Smart Cities. 2018; ():411-426.
Chicago/Turabian StyleAlicia Triviño-Cabrera; José A. Aguado. 2018. "Wireless Charging for Electric Vehicles in the Smart Cities: Technology Review and Impact." Transportation and Power Grid in Smart Cities , no. : 411-426.
Users are increasing their demands on the home appliances they utilize by requiring them to be powered anywhere and anytime. In order to satisfy this need, wireless power transfer helps transfer energy between objects without conductors. For domestic scenarios, strongly magnetic resonant technology offers a method to enable wireless power transfer, even when there exist intermediate non-metallic objects between the wireless power source and the load. This paper reviews this technology with a comprehensive explanation about its fundamentals and physical principles. Some practical issues are also analyzed in this work. Particularly, how the control can be designed and how the coils are built. Finally, this paper also addresses the study about the features of other technologies to power home appliances without conductors. They can be foreseen as the technological competitors of strongly coupled magnetic resonant systems.
Alicia Triviño-Cabrera; José A. Aguado Sánchez. A Review on the Fundamentals and Practical Implementation Details of Strongly Coupled Magnetic Resonant Technology for Wireless Power Transfer. Energies 2018, 11, 2844 .
AMA StyleAlicia Triviño-Cabrera, José A. Aguado Sánchez. A Review on the Fundamentals and Practical Implementation Details of Strongly Coupled Magnetic Resonant Technology for Wireless Power Transfer. Energies. 2018; 11 (10):2844.
Chicago/Turabian StyleAlicia Triviño-Cabrera; José A. Aguado Sánchez. 2018. "A Review on the Fundamentals and Practical Implementation Details of Strongly Coupled Magnetic Resonant Technology for Wireless Power Transfer." Energies 11, no. 10: 2844.
Wireless power transfer is foreseen as a suitable technology to provide charge without cables to electric vehicles. This technology is mainly supported by two coupled coils, whose mutual inductance is sensitive to their relative positions. Variations on this coefficient greatly impact the electrical magnitudes of the wireless charger. The aim of this paper is the design and validation of a control algorithm for an Society of Automotive Engineers (SAE) J2954-compliant wireless charger to guarantee some operational and electrical constraints. These constraints are designed to prevent some components from being damaged by excessive voltage or current. This paper also presents the details for the design and implementation of the bidirectional charger topology in which the proposed controller is incorporated. The controller is installed on the primary and on the secondary side, given that wireless communication is necessary with the other side. The input data of the controller helps it decide about the phase shift required to apply in the DC/AC converter. The experimental results demonstrate how the system regulates the output voltage of the DC/AC converter so that some electrical magnitudes do not exceed predefined thresholds. The regulation, which has been tested when coil misalignments occur, is proven to be effective.
José Manuel González-González; Alicia Triviño-Cabrera; José Antonio Aguado. Design and Validation of a Control Algorithm for a SAE J2954-Compliant Wireless Charger to Guarantee the Operational Electrical Constraints. Energies 2018, 11, 604 .
AMA StyleJosé Manuel González-González, Alicia Triviño-Cabrera, José Antonio Aguado. Design and Validation of a Control Algorithm for a SAE J2954-Compliant Wireless Charger to Guarantee the Operational Electrical Constraints. Energies. 2018; 11 (3):604.
Chicago/Turabian StyleJosé Manuel González-González; Alicia Triviño-Cabrera; José Antonio Aguado. 2018. "Design and Validation of a Control Algorithm for a SAE J2954-Compliant Wireless Charger to Guarantee the Operational Electrical Constraints." Energies 11, no. 3: 604.
The penetration rate of electric vehicles (EVs) will experience a relative increment in the future, so easy to use ways to recharge will be demanded. In this sense, wireless charging represents a safe charging method that minimises user intervention. In a similar way to conductive charge, wireless charging requires some information exchange between the charger primary side and secondary side (battery) for safety and operational reasons. Thus, wireless chargers depend on a communication system for their controlled and correct operation. This paper analysed the communication performance of a wireless EV charger in which the communiction device is part of the wireless power transfer system. Particularly, this work studies how the communication system reacts to power coil displacements, which commonly occur in their conventional performance. The results show that the compensation topology selected to ensure the resonant operation clearly impacts on the communication performance. In particular, the theoretical model and the simulation results demonstrate that the asymmetrical compensation topologies are more stable in terms of the wireless communication channel capacity.
Alicia Triviño-Cabrera; Zhengyu Lin; José A. Aguado. Impact of Coil Misalignment in Data Transmission over the Inductive Link of an EV Wireless Charger. Energies 2018, 11, 538 .
AMA StyleAlicia Triviño-Cabrera, Zhengyu Lin, José A. Aguado. Impact of Coil Misalignment in Data Transmission over the Inductive Link of an EV Wireless Charger. Energies. 2018; 11 (3):538.
Chicago/Turabian StyleAlicia Triviño-Cabrera; Zhengyu Lin; José A. Aguado. 2018. "Impact of Coil Misalignment in Data Transmission over the Inductive Link of an EV Wireless Charger." Energies 11, no. 3: 538.
The analytical characterisation of the magnetic field generated by a wireless charger based on the inductively coupled power transfer technique is presented. With this tool, the magnetic field could be computed in any spatial position and no dipolar approximation is necessary to be taken. The model is contrasted with measurements performed in a 3.7 kW prototype for electric vehicle. The comparison shows that there is a good agreement between the measurements and the model.
A. Triviño‐Cabrera; J. Aguado; J.M. González. Analytical characterisation of magnetic field generated by ICPT wireless charger. Electronics Letters 2017, 53, 871 -873.
AMA StyleA. Triviño‐Cabrera, J. Aguado, J.M. González. Analytical characterisation of magnetic field generated by ICPT wireless charger. Electronics Letters. 2017; 53 (13):871-873.
Chicago/Turabian StyleA. Triviño‐Cabrera; J. Aguado; J.M. González. 2017. "Analytical characterisation of magnetic field generated by ICPT wireless charger." Electronics Letters 53, no. 13: 871-873.
This approach presents a fully distributed clustering solution for wireless sensor networks. It relies on the results of an interval type-2 fuzzy logic system that gives each node the chance to be a cluster head. Taking into account the limited computational resources of the sensors, this inference system has been carefully adapted to be run in each node through a sampling process of the entire solution space of the fuzzy system. The input variables of the system are obtained from the information that each node derives from its performance metrics and those related to its neighbors. The acquisition of these last data does not incur in any additional control packets. The results obtained show a significant improvement in the network lifetime when compared with other recent approaches. This improvement takes place even when contrasting with centralized methods.
J. C. Cuevas-Martinez; A. J. Yuste-Delgado; A. Trivino-Cabrera. Cluster Head Enhanced Election Type-2 Fuzzy Algorithm for Wireless Sensor Networks. IEEE Communications Letters 2017, 21, 2069 -2072.
AMA StyleJ. C. Cuevas-Martinez, A. J. Yuste-Delgado, A. Trivino-Cabrera. Cluster Head Enhanced Election Type-2 Fuzzy Algorithm for Wireless Sensor Networks. IEEE Communications Letters. 2017; 21 (9):2069-2072.
Chicago/Turabian StyleJ. C. Cuevas-Martinez; A. J. Yuste-Delgado; A. Trivino-Cabrera. 2017. "Cluster Head Enhanced Election Type-2 Fuzzy Algorithm for Wireless Sensor Networks." IEEE Communications Letters 21, no. 9: 2069-2072.
Bidirectional chargers are required to fully integrate Electric Vehicle (EV) into the smart grids. Additionally, wireless chargers ease the charge/discharge process of the EV batteries so that they are becoming more popular to fulfill a V2G scenario. When considering the load of wireless chargers, it is a requirement to know the real output power that these systems offer. The designed output power may differ from the real one as components suffer from tolerance. This paper defines six sensitivity factors to model the severity of the effects of tolerance into the output power. To do so, an electric circuit analysis is used and a mathematical formulation is derived. The six sensitivity factors are computed for a laboratory prototype.
Alicia Trivino Cabrera; Jose A. Aguado Sanchez; Miehela Longo; Federica Foiadelli. Sensitivity analysis of a bidirectional wireless charger for EV. 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) 2016, 1113 -1116.
AMA StyleAlicia Trivino Cabrera, Jose A. Aguado Sanchez, Miehela Longo, Federica Foiadelli. Sensitivity analysis of a bidirectional wireless charger for EV. 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA). 2016; ():1113-1116.
Chicago/Turabian StyleAlicia Trivino Cabrera; Jose A. Aguado Sanchez; Miehela Longo; Federica Foiadelli. 2016. "Sensitivity analysis of a bidirectional wireless charger for EV." 2016 IEEE International Conference on Renewable Energy Research and Applications (ICRERA) , no. : 1113-1116.