Maria Teresa Outeiro

Bio: Maria Teresa Outeiro is an academic researcher from Polytechnic Institute of Coimbra. The author has contributed to research in topics: Proton exchange membrane fuel cell & Converters. The author has an hindex of 8, co-authored 25 publications receiving 269 citations. Previous affiliations of Maria Teresa Outeiro include University of Coimbra & University of Porto.

Resonant Power Converters: An Overview with Multiple Elements in the Resonant Tank Network

Abstract: Finite commutation times are associated with the concurrent occurrence of both voltageacross and current-through semiconductor switches, leading to switching power losses. To alleviate them, soft-switching techniques have been developed. Soft-switching converters can be classified into quasi-resonant and multiresonant, resonant-transition, and resonant power converters (RPCs). This article focuses on RPCs, due to their high power density and efficiency. Specifically, RPC topologies with multiple elements are described, and their input-output relationships and efficiency are illustrated. The merits and limitations of RPCs are discussed and compared. An RPC intended to charge the battery of an electric vehicle (EV) is presented, and experimental results are discussed.

A new parameter extraction method for accurate modeling of PEM fuel cells

Abstract: SUMMARY In this paper, a new parameter extraction method for accurate modeling of proton exchange membrane (PEM) fuel cell systems is presented. The main difficulty in obtaining an accurate PEM fuel cell dynamical model is the lack of manufacturer information about the exact values of the parameters needed for the model. In order to obtain a realistic dynamic model of the PEM system, the electrochemical considerations of the system are incorporated into the model. Although many models have been reported in the literature, the parameter extraction issue has been neglected. However, model parameters must be precisely identified in order to obtain accurate simulation results. The main contribution of the present work is the application of the simulated annealing (SA) optimization algorithm as a method for identification of PEM fuel cell model parameter identification. The major advantage of SA is its ability to avoid becoming trapped in local minimum, as well as its flexibility and robustness. The parameter extraction and performance validation are carried out by comparing experimental and simulated results. The good agreement observed confirms the usefulness of the proposed extraction approach together with adopted PEM fuel cell model as an efficient tool to help design of power fuel cell power systems. Copyright r 2009 John Wiley & Sons, Ltd.

Soft-switching capabilities of SAB vs. DAB converters

Abstract: The paper is concerned with the soft-switching capabilities of the Single Active Bridge (SAB) converter. At first, soft-switching of the double active bridge converter is reviewed. Then, operation of the SAB converter is investigated with the end of assessing its soft-switching capabilities in both the discontinuous and continuous conduction mode. It is found that the SAB converter experiences either full or incomplete soft-switching depending on the working conditions. Afterwards, the procedure to size the capacitors for implementing soft-switching is illustrated. At last, an under-development power supply equipment exploiting the theoretical findings of the paper is presented together with a preliminary design of its components.

Comparison of resonant power converters with two, three, and four energy storage elements

Abstract: In general, analysis of Resonant Power Converters (RPCs) is more complex than conventional converters. Consequently, it is common to adopt methods that facilitate the analysis. One of them is the First Harmonic Approximation (FHA). It assumes that only the fundamental harmonic of the current/voltage quantities affects the RPC operation, thanks to the filtering action of the resonant tank network (RTN) embedded in RPCs. The RPC stages can then be represented by simple equivalent circuits with sinusoidal solicitations and the operation can be studied by the standard linear ac analysis. In this paper the characteristics of RPCs with RTN made of two, three, and four elements are investigated using the FHA method. Input impedance, voltage gain and efficiency are derived and discussed for the various topologies. Merits and limitations of the topologies are also addressed.

Wireless Power Transfer for Vehicular Applications: Overview and Challenges

Abstract: More than a century-old gasoline internal combustion engine is a major contributor to greenhouse gases. Electric vehicles (EVs) have the potential to achieve eco-friendly transportation. However, the major limitation in achieving this vision is the battery technology. It suffers from drawbacks such as high cost, rare material, low energy density, and large weight. The problems related to battery technology can be addressed by dynamically charging the EV while on the move. In-motion charging can reduce the battery storage requirement, which could significantly extend the driving range of an EV. This paper reviews recent advances in stationary and dynamic wireless charging of EVs. A comprehensive review of charging pad, power electronics configurations, compensation networks, controls, and standards is presented.

A comprehensive review on parameter estimation techniques for Proton Exchange Membrane fuel cell modelling

Abstract: The widespread use of Proton Exchange Membrane fuel cell for its unique advantages compelled researchers for precise modelling of its characteristics. Since, modelling becomes extremely important for better understanding, simulation, design, analysis and development of high efficiency fuel cell system. However, due to its non-linearity, multivariate and strongly coupled characteristics; mathematical modelling based on empirical equations was widely adopted. But, the shortage of data, complexity in modelling, and number of unknown parameters favored the use of optimization methods. Many optimization methods have been endeavored to model Proton Exchange Membrane fuel cell characteristics. However, no prior attempt has been made to consolidate the contributions. Hence, this paper comprehensively describes and discusses the various Artificial Intelligence/bio inspired methods applied for fuel cell parameter estimation problem. The methods background theory and its application to the problem is elaborated. It is envisioned that, this review will be a one stop solution to the researchers and engineers working in the area of fuel cell systems.