Purpose
This study aims to extend the driving range by on-board charging with use of photovoltaic (PV) source, avoiding the dependency on the grid supply and energy storage system in addition to that reduce the conversion complexity influenced on converter section of electric vehicle (EV) system.
Design/methodology/approach
This paper proposed a PV fed integrated converter topology called integrated single-input multi-output (I-SIMO) converter with enriched error tolerant fuzzy logic controller (EET-FLC) based control technique to regulate the speed of brushless direct current motor drive. I-SIMO converter provides both direct current (DC) and alternating current (AC) outputs from a single DC input source depending on the operation mode. It comprises two modes of operation, act as DC–DC converter in vehicle standby mode and DC–AC converter in vehicles driving mode.
Findings
The use of PV panels in the vehicle helps to reduce dependence of grid supply as well as vehicle’s batteries. The proposed topology has to remove the multiple power conversion stages in EV system, reduce components count and provide dual outputs for enhancement of performance of EV system.
Originality/value
The proposed topology leads to reduction of switching losses and stresses across the components of the converter and provides reduction in system complexity and overall expenditure. So, it enhances the converter reliability and also improves the efficiency. The converter provides ripple-free output voltage under dynamic load condition. The performance of EET-FLC is studied by taking various performance measures such as rise time, peak time, settling time and peak overshoot and compared with conventional control designs.
Variations in strength, geometric and deterioration characteristics of both materials and machine components are quite common in real-life mechanical systems due to manufacturing defects and measurement errors. Such inherent fluctuations which are unavoidable even with the best quality control measures, are essentially random in nature. Effects of these random fluctuations on the performance levels, dynamic response and service life of mechanical systems need to be evaluated based on a stochastic approach, in order to assist design and diagnostics of industrial machinery. Non self-adjoint eigenproblems that correspond to the dynamic response of complex mechanical systems such as high speed rotors, fluid-flowing pipes and actively controlled structures are considered in the present work. The coefficients of the matrices are stochastic processes and are resulting from uncertain parameters of the mechanical system being described by the eigenproblem. A perturbational solution is sought and obtained in a form that does not involve repeated solutions of a recursive set of equations. Sample functions are generated based on the perturbational expansion and response moments are obtained by treating uncertain fluctuations to be stochastic perturbations. Complete covariance structures of both eigenvalues and eigenvectors are obtained through computationally efficient expressions. Applications of the developed procedure for real-life mechanical systems, that have uncertain material properties, are demonstrated.
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