scholarly journals Unified Power Converter Based on a Dual-Stator Permanent Magnet Synchronous Machine for Motor Drive and Battery Charging of Electric Vehicles

Energies ◽  
2021 ◽  
Vol 14 (11) ◽  
pp. 3344
Author(s):  
Delfim Pedrosa ◽  
Vitor Monteiro ◽  
Tiago J. C. Sousa ◽  
Luis Machado ◽  
Joao L. Afonso
Keyword(s):  
Power Flow ◽  
Mechanical Load ◽  
Electrical Power ◽  
Power Converter ◽  
Motor Drive ◽  
Battery Charging ◽  
Charging System ◽  
Charging Mode ◽  
Traction System ◽  
Bidirectional Power Flow

An electric vehicle (EV) usually has two main power converters, namely one for the motor drive system and another for the battery-charging system. Considering the similarities between both converters, a new unified power converter for motor drive and battery charging of EVs is propounded in this paper. By using a single unified power converter, the cost, volume, and weight of the power electronics are reduced, thus also making possible a reduction in the final price of the EV. Moreover, the proposed unified power converter has the capability of bidirectional power flow. During operation in traction mode, the unified power converter controls motor driving and regenerative braking. Additionally, during operation in battery-charging mode, with the EV plugged into the electrical power grid, the unified power converter controls the power flow for slow or fast battery charging (grid-to-vehicle (G2V) mode), or for discharging of the batteries (vehicle-to-grid (V2G) mode). Specifically, this paper presents computer simulations and experimental validations for operation in both motor-driving and slow battery-charging mode (in G2V and V2G modes). It is demonstrated that the field-oriented control used in the traction system presents good performance for different values of mechanical load and that the battery-charging system operates with high levels of power quality, both in G2V and in V2G mode.

scholarly journals A Bidirectional Double Uneven Power Converter Based DC–DC Converter for Solid-State Transformers

Electronics ◽  
2018 ◽  
Vol 7 (11) ◽  
pp. 334 ◽  
Author(s):  
Kiwoo Park ◽  
Kyo-Beum Lee
Keyword(s):  
Solid State ◽  
Distribution System ◽  
Power Flow ◽  
Power Converter ◽  
Small Scale ◽  
Power Semiconductor ◽  
Switching Losses ◽  
Zero Current Switching ◽  
Zero Current ◽  
Bidirectional Power Flow

This paper presents a novel bidirectional double uneven power (BiDUP) based dc-dc converter and its design and control methods. The proposed converter utilizes two dual active bridge (DAB) converters with different power ratings in a special way to realize zero current switching (ZCS), where both turn-on and turn-off switchings occur under the zero-current condition. A design example of the proposed BiDUP converter is presented for medium voltage (MV) and high-power solid-state transformer (SST) systems where both voltage transformation and bidirectional power flow are required. The main features of the proposed converter are to reduce both the switching losses in power semiconductor devices and the filter inductance requirement simultaneously. To verify the feasibility of the proposed converter, a simulation study on the BiDUP converter based SST in a distribution system is presented. Furthermore, to validate the operational principle of the proposed converter, an experimental study using a small-scale prototype is also presented.

scholarly journals Coupling property analysis of the on-board battery-charging system based on DSEM in the charging mode

2020 ◽  
Vol 14 (12) ◽  
pp. 2312-2321
Author(s):  
Jiadan Wei ◽  
Jinchun Chen ◽  
Yiwei Wang ◽  
Peng Liu ◽  
Bo Zhou
Keyword(s):  
Battery Charging ◽  
Charging System ◽  
Property Analysis ◽  
Coupling Property ◽  
Charging Mode

scholarly journals Hybrid Energy Scheduling in a Renewable Micro Grid

2019 ◽  
Vol 8 (4S2) ◽  
pp. 375-380
Keyword(s):  
Renewable Energy ◽  
Power Flow ◽  
Fossil Fuels ◽  
Renewable Energy Sources ◽  
Electrical Power ◽  
Power Network ◽  
Hybrid Energy ◽  
Energy Scenario ◽  
Bidirectional Power Flow ◽  
Operation Cost

In the present days, the society has been facing a lot of challenges in the energy scenario, as their dependency increases in that crisis that is to be given greater concern. As fossil fuels are turned out to be too expensive or it may be phased out, in spite of large investments, researchers suggest the renewable energy sources as a supplement for this issue. A microgrid which connects the generation units with the electrical power network and also the utility area results in the efficient utilization. The efficiency and flexibility of the power system can be optimized by installing microgrid. It combines the sources of heat and power (CHP) with renewable energy which includes wind and photovoltaic power that implies a reliable and controllable power supply. As power storage equipment’s and electric vehicles (EV) enhances the bidirectional power flow, the optimization of scheduling is needed for the EV and demand side management (DSM).In this work, with the CHP microgrid, an optimal scheduling model of the network is proposed with EV and DSM.The minimum operation cost is considered as an objective function and the optimization variable is the output of each source. A simulation study which improves the capability global search using hybrid Artificial Immune algorithm is put forward for higher feasibility.

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