scholarly journals High Efficiency and Power Tracking Method for Wireless Charging System Based on Phase-Shift Control

Energies ◽  
2018 ◽  
Vol 11 (8) ◽  
pp. 2065 ◽  
Author(s):  
Vladimir Kindl ◽  
Martin Zavrel ◽  
Pavel Drabek ◽  
Tomas Kavalir

The paper presents optimal operating point tracking algorithm for wireless charging system using identical coupling coils providing us to meet simultaneously high efficiency and high transmitted power under varied load and detuning conditions. The proposed method is suitable either for purely resistive load or battery load and it is based on phase-shift control between the primary and the secondary voltage. The paper also gives an intuitive mathematical description of the key control idea and demonstrates its operational abilities. The proposed algorithm is finally implemented into digital signal processor (DSP) and tested on 4 kW laboratory prototype of shielded wireless power transfer system.

2020 ◽  
Vol 46 (0) ◽  
pp. 59-67
Author(s):  
Junnosuke Nohara ◽  
Hideki Omori ◽  
Masahito Tsuno ◽  
Toshimitsu Morizane ◽  
Hidehito Matayoshi

Author(s):  
Chengbin Ma ◽  
Minfan Fu ◽  
Xinen Zhu

In this paper, the technologies for electric vehicle wireless charging are reviewed including the inductive coupling, magnetic resonance coupling and microwave. Among them, the magnetic resonance coupling is promising for vehicle charging mainly due to its high efficiency and relatively long transfer range. The design and configuration of the magnetic resonance coupling based wireless charging system are introduced. A basic experimental setup and a prototype electric vehicle wireless charging system are developed for experimental and research purposes. Especially the prototype system well demonstrates the idea of fast and frequent wireless charging of supercapacitor electric vehicles using magnetic resonance coupling. Though the idea of wireless energy transfer looks sophisticated, it is proved to be a handy technology from the work described in the paper. However, both component and system-level optimization are still very challenging. Intensive investigations and research are expected in this aspect.


Energies ◽  
2021 ◽  
Vol 14 (20) ◽  
pp. 6444
Author(s):  
Jinhui Zeng ◽  
Yao Rao ◽  
Zheng Lan ◽  
Dong He ◽  
Fan Xiao ◽  
...  

To solve the problems of large current stress, difficult soft-switching of all switches, and slow dynamic response of dual active bridge converters, a multi-objective unified optimal control strategy based on triple-phase-shift control was proposed. The forward power flow global modes of triple-phase-shift control were analyzed, and three high-efficiency modes were selected to establish the analytical models of current stress and soft-switching. Combined with these models, the optimal solutions in different modes were derived by using the cost function-optimization equation to overcome the limitation of the Lagrange multiplier method, such that the DAB converter achieved the minimum current stress, and all switches operated in the soft-switching state over the entire power range. At the same time, the virtual power component was introduced in the phase-shift ratio combination, which improved the dynamic response of output voltage under the input voltage or load steps changed by power control. The theoretical analysis and experimental results show that the proposed control strategy can optimize the performance of the DAB converter from three aspects, such as current stress, soft-switching, and dynamic response, which achieves multi-objective optimization of the steady-state and dynamic performance of DAB converters.


2021 ◽  
Vol 13 (1) ◽  
pp. 6
Author(s):  
Yiming Zhang ◽  
Zhiwei Shen ◽  
Yuanchao Wu ◽  
Hui Wang ◽  
Wenbin Pan

Wireless power transfer (WPT) for electric vehicles is an emerging technology and a future trend. To increase power density, the coupling coefficient of coils can be designed to be large, forming a strongly coupled WPT system, different from the conventional loosely coupled WPT system. In this way, the power density and efficiency of the WPT system can be improved. This paper investigates the dual-side phase-shift control of the strongly coupled series–series compensated WPT systems. The mathematical models based on the conventional first harmonic approximation and differential equations for the dual-side phase-shift control are built and compared. The dual-side phase-shift angle and its impact on the power transfer direction and soft switching are investigated. It is found that synchronous rectification at strong couplings can lead to hard switching because the dual-side phase shift in this case is over 90°. In comparison, a relatively high efficiency and soft switching can be realized when the dual-side phase shift is below 90°. The experimental results have validated the analysis.


Author(s):  
Abdellah Narjiss ◽  
Daniel Depernet ◽  
Frédéric Gustin ◽  
Daniel Hissel ◽  
Alain Berthon

This work consists in a theoretical and practical study of a dc/dc converter designed to be coupled to a fuel cell stack in transport applications. It also proposes analysis and control of the whole system using digital signal processor (DSP) controller. The research is focused on the integration of a polymer electrolyte fuel cell (PEFC) stack in an embedded system. The fuel cell is characterized by a low-voltage high-current electrical power deliverty. Therefore, it is obvious that a dedicated power interface is necessary to adapt and fix voltage and current levels accordingly to the application requirements. In our case, the power conversion will be done by a high-frequency-transformer-based DC/DC converter. The use of a high frequency transformer allows obtaining significant output voltage ratio (approximately 12 in our case), high efficiency, reduce compactness of used elements and limited semi-conductors losses.


Electronics ◽  
2020 ◽  
Vol 9 (1) ◽  
pp. 83
Author(s):  
Giuseppe La Tona ◽  
Massimiliano Luna ◽  
Maria Carmela Di Piazza ◽  
Marcello Pucci ◽  
Angelo Accetta

Model-based maximum power point tracking (MPPT) of wind generators (WGs) eliminates dead times and increases energy yield with respect to iterative MPPT techniques. However, it requires the measurement of wind speed. Under this premise, this paper describes the implementation of a high-performance virtual anemometer on a field programmable gate array (FPGA) platform. Said anemometer is based on a growing neural gas artificial neural network that learns and inverts the mechanical characteristics of the wind turbine, estimating wind speed. The use of this device in place of a conventional anemometer to perform model-based MPPT of WGs leads to higher reliability, reduced volume/weight, and lower cost. The device was conceived as a coprocessor with a slave serial peripheral interface (SPI) to communicate with the main microprocessor/digital signal processor (DSP), on which the control system of the WG was implemented. The best compromise between resource occupation and speed was achieved through suitable hardware optimizations. The resulting design is able to exchange data up to a 100 kHz rate; thus, it is suitable for high-performance control of WGs. The device was implemented on a low-cost FPGA, and its validation was performed using input profiles that were experimentally acquired during the operation of two different WGs.


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