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Reliability Analysis of Wireless Power Transfer for Electric Vehicle Charging based on Continuous Markov Process

Milad Behnamfar, Md Abu Taher, Alexis Polowsky, Sukanta Roy, Mohd Tariq, Arif I. Sarwat

202318 citationsDOI

Abstract

In this paper, the reliability analysis of wireless power transfer system for charging electric vehicles using Markov process is presented. Since wireless chargers of electric vehicles are supposed to be exposed to various weather conditions that affect the performance and aging of the system; therefore, reliability analysis of this type of system is required. The reliability analysis of wireless power transfer systems for charging electric vehicles is missing in the literature. Every wireless charger for electric vehicles is composed of five different sub-systems, including a full bridge single-phase inverter, a compensation network in both input and output sides, an inductive coil, and a rectifier. The five sub-systems are analyzed on individual reliability separately, to determine the overall system reliability. The result found have identified the system as highly reliable over twenty years of lifetime with having 66.31% percent availability.

Topics & Concepts

Reliability (semiconductor)Wireless power transferMaximum power transfer theoremWirelessElectric vehicleComputer scienceElectromagnetic coilRectifier (neural networks)Electric power systemInductive chargingMarkov processAutomotive engineeringEngineeringElectrical engineeringPower (physics)TelecommunicationsMachine learningArtificial neural networkStochastic neural networkPhysicsStatisticsQuantum mechanicsRecurrent neural networkMathematicsWireless Power Transfer SystemsEnergy Harvesting in Wireless NetworksAdvanced Battery Technologies Research
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