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Research in reversible computing has gained importance because of its potential use in low-power design, and also quantum computing. Several works on reversible circuit testing have also been reported. Many fault models have been proposed, some of which have been borrowed from traditional logic. In this paper, we consider the problem of reversible circuit testing, specifically targeting test generation...
Maximum power point tracking (MPPT) is required to extract the maximum available power in PV systems. Wide variety of methods exist in literature, with range of complexity and effectiveness. The features of these diverse methods are usually evaluated at specific environmental conditions for a tiny period, and then the evaluations are generalized for PV systems working under long-term environmental...
Most existing concepts for hardware implementation of reversible computing invoke an adiabatic computing paradigm, in which individual degrees of freedom (e.g., node voltages) are synchronously transformed under the influence of externally- supplied driving signals. But distributing these "power/clock" signals to all gates within a design while efficiently recovering their energy is difficult...
In beyond silicon research, Quantum-dot Cellular Automata (QCA) emerged as a candidate for replacing the traditional CMOS logic circuits. QCA is a paradigm based on the exchange of information between cells that takes advantage of Coulomb's law. In this work, we managed to extract dependence relations through a circuit designed on QCA Designer simulator. We built small models representing fragments...
Power battery is the heart of electric vehicles, and the accurate state of charge (SOC) estimation is crucial for the management of the power battery. This paper proposes an adaptive strong tracking unscented Kalman filter (ASTUKF) algorithm to estimate the SOC of lithium-ion battery. This method doesn't need to compute the Jacobian matrix compared with the traditional strong tracking filter. This...
The prevalence of bridging defects makes bridging fault models important to consider during fault simulation and test generation. The large number of bridging faults that can be defined for a circuit led to the development of procedures for selecting subsets of bridging faults that are likely to occur based on the circuit layout, and hard-to-detect bridging faults whose coverage provides a more effective...
A modeling method for RF power transistor fingers and large discrete die is presented in order to evaluate, visualize, and optimize various performance parameters at the device finger level. The model is constructed using a combination of TCAD based active die model and passive interconnect models based on Wheeler's transmission line formulation. Active die model of a fraction of the total periphery...
This paper presents a full-order equivalent circuit model of Dual Active Bridge (DAB) converter. The proposed equivalent circuit facilitates the in-depth knowledge on the physical insight of DAB converter and can precisely retain both the steady state and dynamic behavior of the original system. This equivalent circuit can be divided into two parts: ac branch and dc branch. Both ac branch and dc branch...
Multi-rate (MR) simulation is necessary for a system which contains both large and small time constraints. In the traditional MR real-time simulation of MMC, only the MMC valves are implemented on FPGA with a small time-step, while the rest parts are implemented on central processing units (CPU) with a large time-step. This paper presents a fully FPGA based MR real-time simulation of two MMC terminals...
In this paper a control algorithm is developed for a small photovoltaic panel in order to maximize its generated power. The objective is to develop a numerically simple to implement method to control a buck dc-dc converter. The basic idea behind this research is to create an optimization block to determine the maximum power point according to the current radiation and temperature and to use its output...
This paper presents a design methodology with uncertainty quantification to estimate the required margin for two main design variables in a modular multilevel converter (MMC). In this methodology, the minimum required design margins are calculated by quantifying all sources of uncertainty in the modeling and simulation of MMCs. To this end, an enhanced modeling framework is presented to take into...
Model-based condition monitoring for lithium-ion (Li-ion) batteries involves estimating physical model parameters and operational states such state of charge (SOC) and state of health (SOH), and is crucial for building high-performance and safety-critical battery systems. This paper proposes a real-time model-based condition monitoring algorithm based on a second-order RC electrical circuit battery...
In this paper, a novel modeling method of battery pack for an optimal design and effective managements of battery is suggested. The proposed modeling method using single cell information makes an optimal design of battery pack possible by expecting the characteristics of the battery pack before the battery pack is manufactured. Also, the proposed battery pack model can be highly utilized in the battery...
The present paper considers a problem of assessment of cybersecurity architecture of modern digital control system using a formal hierarchical model of the cybersecurity policy. As a basis for formal security model the extended discretionary take-grant security model is presented. The formal technique used to provoke thoughts about the way how the rights and information may be passed along the systems...
Ramsey theory assures us that in any graph there is a clique or independent set of a certain size, roughly logarithmic in the graph size. But how difficult is it to find the clique or independent set? If the graph is given explicitly, then it is possible to do so while examining a linear number of edges. If the graph is given by a black-box, where to figure out whether a certain edge exists the box...
Recently, the self-blast principle of extinguishing the arc by the blast pressure which is generated by the arc itself has been widely applied to the high voltage circuit breaker. In the self-blast principle, the pressure relief valve fitted on the piston is opened to release excessive pressure in the compression volume during high current interruption. The design of the pressure relief valve operation...
Interruption of short circuit currents in high voltage circuit breakers requires high SF6 gas pressure, which can be generated by compression of SF6 gas and/or energy transfer from the arc. The pressure difference between circuit breaker chambers causes SF6 gas flow. The rise of pressure in the chambers is highly dependent on the design of the circuit breaker. This paper presents a universal approach...
Superior characteristics of SF6 gas have enabled its successful use as the interruption media in high voltage circuit breakers. Unique combination of physical properties considers high dielectric strength, high thermal interruption capability and high heat transfer performance. However, having in mind its high global warming potential (GWP), long term use of SF6 gas in the future should be called...
Lithium Iron Phosphate (LiFePO4) batteries have obtained extensive interests for the high energy density, little contamination, and ready availability. To enhance the compatibility of the batteries in electrical systems, the accurate estimation of the state of charge (SOC) is remarkably significant. Conventionally, Kalman filter algorithm and its derivations can be utilized for SOC estimation. To...
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