Showing 3 results for Type of Study: Closed - 2023 Special Issue on Application of Electric Vehicles in Smart Energy Systems
Mostafa Jalalian-Ebrahimi, M. A. Shamsi-Nejad,
Volume 20, Issue 0 (12-2024)
Abstract
This paper proposes an inductive power transfer (IPT) system to maintain stable power transfer and improve efficiency for battery charging performance across a wide range of coupling coefficient variations. The proposed IPT system uses series-series (S-S) and series-inductor-capacitor-inductor (S-LCL) compensation. In both compensation configurations, the rectifier operates in half-bridge (HB) and full-bridge (FB) modes. By using the correct switching pattern between compensation networks and the rectifier, four transfer power-coupling coefficient (P-k) curves are created. A 400 W prototype simulated in MATLAB demonstrates that, with the proposed method, output power fluctuation is limited to only 3% for coupling coefficients varying from 0.1 to 0.4, with system efficiency ranging from 80% to 95.9%. Compared to other methods, the proposed structure provides stable power transfer over an ultra-wide coupling variation and does not require special coil design, clamp circuit design, or complex control.
Abolfazl Masnabadi, Mehdi Asadi,
Volume 20, Issue 1 (3-2024)
Abstract
This paper proposed a control system for the battery charger of a solar vehicle. The battery charger has two parts, boost converter and isolated DC/AC/DC converter. The boost converter is controlled by a proposed control system based on sliding mode. In this controller, the MPPT is implemented by an extreme point of the solar cell P-V curve. Also, the control system of the DC/AC/DC converter is based on sliding mode with consideration of uncertainties of the output filter. A fast charging algorithm based on variable frequencies was carried out by the presented control system and charging of a Lithium-ion battery was done during 20 min from SOC 20% to SOC 80%. The simulation results show control system effectiveness.
Shankarshan Prasad Tiwari,
Volume 20, Issue 1 (3-2024)
Abstract
In recent years, due to the widespread applications of DC power-based appliances, the researchers attention to the adoption of DC microgrids are continuously increasing. Nevertheless, protection of the DC microgrid is still a major challenge due to a number of protection issues, such as pole-to-ground and pole-to-pole faults, absence of a zero crossing signal, magnitude of the fault current during grid-connected and islanded mode, bidirectional behaviour of converters, and failure of the converters due to enormous electrical stress in the converter switches which are integrated in the microgrid. Failure of the converter switches can interrupt the charging of the electrical vehicles in the charging stations which can affect transportation facilities. In addition to the above mentioned issues protection of the DC microgrid is more challenging when fault parameters are varying due to dissimilar grounding conditions and varying operational dynamics of the renewable sources of energy. Motivated by the above challenges a support vector machine and ensemble of k-nearest neighbor based protection scheme has been proposed in this paper to accurately detect and classify faults under both of the modes of operation. Results in the section 5 indicate that performance of the protection scheme is greater as compared to other algorithms.
