The Control Strategy for Integrated Motor-drive and Battery-charging System Based on the Split-field-winding Doubly Salient Electromagnetic Machine in Charging Mode

2019 ◽  
Author(s):  
Peng Liu ◽  
Jiadan Wei ◽  
Ming Li ◽  
Taojing Zhang
Keyword(s):  
Control Strategy ◽  
Motor Drive ◽  
Battery Charging ◽  
Charging System ◽  
Doubly Salient ◽  
Charging Mode ◽  
Split Field

An Integrated Motor-Drive and Battery-Charging System Based on Split-Field-Winding Doubly Salient Electromagnetic Machine

2018 ◽  
Vol 54 (11) ◽  
pp. 1-6 ◽  
Author(s):  
Taojing Zhang ◽  
Jiadan Wei ◽  
Peng Liu ◽  
Wenjie Tao ◽  
Bo Zhou
Keyword(s):  
Motor Drive ◽  
Battery Charging ◽  
Charging System ◽  
Doubly Salient ◽  
Split Field

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 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

Maximum Power Control of Thermoacoustic Linear Generator in Discontinuous Conduction Charging Mode

2014 ◽  
Vol 519-520 ◽  
pp. 1114-1117
Author(s):  
Xin He ◽  
Jia Kuan Xia ◽  
Xing Chen Wang
Keyword(s):  
Control Strategy ◽  
Waste Heat ◽  
Generator System ◽  
Battery System ◽  
Battery Charging ◽  
Power Harvesting ◽  
Computer Aided Analysis ◽  
Power Maximization ◽  
Charging Mode ◽  
And Control

The thermoacoustic electricity generator system can convert heat from the low quality heat source such as automobile exhaustsolar energyindustrial waste heat etc into electricity. But battery Harvests a little charging power from the system due to the soft load characteristic, which restricts the application of the thermoacoustic electricity technology. In order to improve the Harvesting ability of battery charging power , a mathematical model of the thermoacoustic electricity generator battery system are established and a charging power harvesting control strategy is put forward in this paper. The modelingsimulation and control of charging power maximization harvesting are systematically investigated by computer-aided analysis in Matlab.

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