Results 1 to 10 of about 2,651 (265)
Evaluation of electric vehicle performance using driving cycle clustering based on motor-inverter losses and efficiency [PDF]
Scientific ReportsThis paper introduces the methodology for evaluating electric vehicle (EV) performance by integrating motor and inverter efficiency analysis with total losses assessment across representative driving cycle simulations. The proposed methodology integrates
Khalil Abdelali +4 more
doaj +2 more sources
Energies, 2021 A modeling of a turbo air compressor system (TACS), with a multi-level inverter for driving variable speed, combining an electrical model of an electric motor drive system (EMDS) and a mechanical model of a turbo air compressor, is essential to ...
Sung-An Kim
doaj +3 more sources
Effects of parasitic capacitance on switching transients and thermal performance in a single-phase SiC power MOSFET inverter [PDF]
Scientific ReportsThis study aims to investigate the influence of parasitic capacitances within half-bridge SiC power metal oxide semiconductor field effect transistor (MOSFET) modules, including input capacitance (Ciss), output capacitance (Coss), and reverse transfer ...
Hsien-Chie Cheng +5 more
doaj +2 more sources
Energies, 2020 In this paper, the modeling methodology of the AC drive system with a Parallel Quasi-Resonant DC Link Inverter (PQRDCLI) is described. A presented modeling approach is an attractive tool used for the effective evaluation of a common-mode (CM) voltage and
Marek Turzyński, Michal Frivaldsky
doaj +3 more sources
Parameter Estimation of a Grid-Tied Inverter Using In Situ Pseudo-Random Perturbation Sources
Energies, 2023 Inverters are playing an increasingly important role in the electrical utility grid due to the proliferation of renewable energy sources. Obtaining inverter models with accurate parameters is, therefore, essential for grid studies and design.
Ian Paul Gerber +2 more
doaj +1 more source
Continual learning with invertible generative models
Neural Networks, 2023 Catastrophic forgetting (CF) happens whenever a neural network overwrites past knowledge while being trained on new tasks. Common techniques to handle CF include regularization of the weights (using, e.g., their importance on past tasks), and rehearsal strategies, where the network is constantly re-trained on past data. Generative models have also been
Jary Pomponi +2 more
openaire +3 more sources
Andalas Journal of Electrical and Electronic Engineering Technology, 2023 The need for electrical energy in the public building sector is quite dominant, reaching 33-40% of the total energy consumption of all sectors. To control electrical energy in buildings effectively, an Energy Management System (EMS) is needed.
Refki Budiman, Refdinal Nazir
doaj +1 more source
Modeling of the Resonant Inverter for Wireless Power Transfer Systems Using the Novel MVLT Method
Vehicles, 2022 Wireless power transfer (WPT) is a power transfer technique widely used in many industrial applications, medical applications, and electric vehicles (EVs).
Rupesh Kumar Jha +7 more
doaj +1 more source
Energy Reports, 2023 In recent years, the accelerated penetration of renewable energy hinders the flexible adjustment of power systems. Customer directrix load (CDL)-based demand response (DR) unlocks the potential flexibilities of inverter air conditioning in industrial or ...
Lingling Zhu +6 more
doaj +1 more source
Analysis and Small Signal Modeling of Five-Level Series Resonant Inverter
IEEE Access, 2021 This paper explains the implementation of a small-signal model for a new five-level series resonant inverter structure. The proposed circuit combines the advantages of multilevel inverters and the characteristics of the physical phenomena, resonance. The
Alla Eddine Toubal Maamar +6 more
doaj +1 more source