scholarly journals Collaborative Optimization Method of Power and Efficiency for LCC-S Wireless Power Transmission System

Electronics ◽  
2021 ◽  
Vol 10 (24) ◽  
pp. 3088
Author(s):  
Ming Xue ◽  
Qingxin Yang ◽  
Chunzhi Li ◽  
Pengcheng Zhang ◽  
Shuting Ma ◽  
...  

Dynamic wireless charging enables moving equipment such as electric vehicles, robots to be charged in motion, and thus is a research hotspot. The applications in practice, however, suffer from mutual inductance fluctuation due to unavoidable environmental disturbances. In addition, the load also changes during operation, which makes the problem more complicated. This paper analyzes the impacts of equivalent load and mutual inductances variation over the system by LCC-S topology modeling utilizing two-port theory. The optimal load expression is derived. Moreover, a double-sided control strategy enabling optimal efficiency and power adjustment is proposed. Voltage conducting angles on the inverter and rectifier are introduced. The simulation and experimental results verify the proposed method.

2021 ◽  
Vol 2021 (5) ◽  
pp. 21-26
Author(s):  
V.B. Pavlov ◽  
◽  
O.D. Podoltsev ◽  
V.E. Pavlenko ◽  
◽  
...  

A prototype of a wireless charger of inductive type with serial resonance in the circuits of the transmitting and receiving coils has been developed and manufactured, and experimental studies of the efficiency of power transmission from an external source to a storage battery have been carried out. It is shown that the efficiency of the created sample takes values in the range 39% - 78 % and depends on the operating frequency and the distance between the coils. It is also shown that when using coils with an outer diameter of 500 mm, the positioning of these coils in the process of charging the battery at a distance of up to 10 cm does not lead to a significant decrease in efficiency. The experimental values of the efficiency are compared with the calculated ones obtained on a simplified model that takes into account only resistive losses in the coils, and it is shown that the experimental values of the efficiency are 15-20 % less than the calculated ones. References. 8, figures. 5, table 1.


2014 ◽  
Vol 518 ◽  
pp. 324-328 ◽  
Author(s):  
Hong Liang Wang ◽  
Juan Liu ◽  
Min Cao ◽  
Xian Fu Chen ◽  
Da Da Wang ◽  
...  

Electric cars are emerged as the energy crisis and environmental problems have become more severe. Electric vehicles charging include contact and non-contact. The battery technology has not been solved absolutely for Contactless charging, in addition, charging pile construction will take up a lot of urban land, normal charge is slow, fast charge will have a huge impact to grid, the high cost of change the batteries, these drawbacks of electric vehicles has been hampered the large-scale development of EV. With the development and gradual improvement of wireless power transmission technology .wireless charging technology applied to electric vehicles has great prospects. In the wireless power charging process safe, reliable transmission is very important. In this paper, security and reliability problems have been discussed for the various aspects of wireless charging systems and combined analysis of the characteristics of Yunnan Power Grid for wireless charging systems of electric vehicles.


Author(s):  
K. Paramesh ◽  
R.P. Neriya ◽  
M.V. Kumar

Wireless power transmission (WPT) is popular and gaining technology finding its application in various fields. The power is transferred from a source to an electrical load without the need of interconnections. WPT is useful to power electrical devices where physical wiring is not possible or inconvenient. The technology uses the principle of mutual inductance. One of the future applications finds in automotive sector especially in Electric Vehicles. This paper deals with research and development of wireless charging systems for Electric vehicles using wireless transmission. The main goal is to transmit power using resonance coupling and to build the charging systems. The systems deal with an AC source, transmission coil, reception coil, converter and electric load which are battery.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-10
Author(s):  
Yong Wang ◽  
Hongguo Cai ◽  
Yinghua Liao ◽  
Jun Gao

Equipped with two power sources, the dual-driving powertrain system for pure electric vehicles has a driving mode different from traditional electric vehicles. Under the premise that the structural form of the transmission system remains unchanged, the following transmission schemes can be adopted for double drive electric vehicles according to the demand power: the main and auxiliary electric transmission scheme (two motors are driven separately with dual-motor coupling drive), the transmission scheme in which the two motors always maintain coupling drive, and the speed-regulating type electric transmission scheme (the main motor is always responsible for driving, and the auxiliary motor is responsible for speed regulation). Therefore, a significant difference exists in the design methods of the power transmission system of double drive electric vehicles and existing vehicles. As for such differences, this paper adopts intelligent algorithm to design the parameters of the transmission system and introduces the genetic algorithm into the optimization design of parameters to obtain the optimal vital parameters of the power transmission system based on computer simulation. The prototype car used in this paper is a self-owned brand car; MATLAB/Simulink platform is used to build the vehicle simulation model, which is used for the computer simulation analysis of the vehicle dynamic performance and economy. It can be seen from the analysis result that the system parameters obtained by using the global optimization method proposed in this study can improve the vehicle dynamic performance and economic performance to varying degrees, which proves the efficiency and feasibility of the optimization method.


2018 ◽  
Vol 2018 ◽  
pp. 1-9 ◽  
Author(s):  
Haiming Fu ◽  
Yinghua Han ◽  
Jinkuan Wang ◽  
Qiang Zhao

In most countries, the problems of energy and environment are becoming worse. To deal with the environmental impacts and the dependence on fossil energy, many solutions were proposed. Plug-in electric vehicles (PEVs) is one of the best technique among these solutions. However, the large number of PEVs connected to the power grid simultaneously might increase power fluctuation or even cause the electricity shortage and thus affecting the typical use of the basic load. To cope with this issue and inspire PEV users coordinating with scheduling results, an algorithm was proposed to ensure the power transmission safety of branches and maximize the economic benefits. Considering the cost of both PEV owners and the power grid, a two-phase model of optimizing PEVs charging and discharging behaviors was built. According to the traveling purpose of PEV owners and the current electricity price, in the first phase, a novel model which defines each PEV’s charging or discharging status was established. The number of PEVs’ charging and discharging in each charging station can be obtained. Considering the constraints on the power transportation of branch, in the second phase, we built a mathematical model to maximize the benefit of both power grid and PEV owners. The genetic algorithm was used to optimize the charging and discharging power of PEVs. Simulation results show that the optimization method proposed in this paper has a better performance on the daily power curve compared with the uncoordinated PEVs charging.


Energies ◽  
2021 ◽  
Vol 14 (6) ◽  
pp. 1614
Author(s):  
Qiushi Zhang ◽  
Jian Zhao ◽  
Xiaoyu Wang ◽  
Li Tong ◽  
Hang Jiang ◽  
...  

The access of large-scale electric vehicles (EVs) will increase the network loss of medium voltage distribution network, which can be alleviated by adjusting the network structure and orderly charging for EVs. However, it is difficult to accurately evaluate the charging efficiency in the orderly charging of electric vehicle (EV), which will cause the scheduling model to be insufficiently accurate. Therefore, this paper proposes an EV double-layer scheduling model based on the isolated bidirectional DC–DC (IBDC) converter optimal efficiency model, and establishes the hierarchical and partitioned optimization model with feeder–branch–load layer. Firstly, based on the actual topology of medium voltage distribution network, a dynamic reconfiguration model between switching stations is established with the goal of load balancing. Secondly, with the goal of minimizing the branch layer network loss, a dynamic reconstruction model under the switch station is established, and the chaotic niche particle swarm optimization is proposed to improve the global search capability and iteration speed. Finally, the power transmission loss model of IBDC converter is established, and the optimal phase shift parameter is determined to formulate the double-layer collaborative optimization operation strategy of electric vehicles. The example verifies that the above model can improve the system load balancing degree and reduce the operation loss of medium voltage distribution network.


2021 ◽  
Vol 11 (9) ◽  
pp. 3826
Author(s):  
Gunzung Kim ◽  
Imran Ashraf ◽  
Jeongsook Eom ◽  
Yongwan Park

Wireless power transmission (WPT) for wireless charging has been gaining wide attention as a promising approach to miniaturizing the battery size and increasing the maximal total range of an electric vehicle (EV). With an appropriate charging infrastructure, WPT holds great potential to accelerate the acceptance of EVs through users’ higher satisfaction, reducing EV cost, and increasing the driving range and capability. A WPT system based on high-intensity laser power beaming (HILPB) provides an optimal solution for wirelessly charging electric vehicles from a distance of several meters. Despite a large number of WPT approaches, the problem of optimal path configuration for charging EV remains an unexplored area. This paper proposes a method to determine the optimal power transmission path in environments where multiple power transmitters (PTXs) and power receivers (PRXs) are operated simultaneously. To this end, we modeled the HILPB power that reaches a PRX equipped with a photovoltaic (PV) array and validated the model by simulating the WPT process in an environment with multiple PTXs and PRXs using a direct-sequence optical code division multiple access (DS-OCDMA) system. In the simulation environment, upon receiving a request from a PRX, a PTX sent its power channel information through optically encoded laser pulses using each available wireless power channel (WPC). The PRX calculated the maximum deliverable power of a PTX and WPC based on the received channel power indicator of the incident laser beam. Based on the calculation results, it selected the optimal PTX and WPC for its maximum power requirement (MPQ). The MPQ of each PRX was satisfied by applying the algorithm for selecting the PTX according to the alignment and characteristics of the PTXs and PRXs. We modeled a power reception model of the PRX based on a PV array using coded laser pilots and validated it through experimentation. We discussed some algorithms that select the most suitable PTX among several PTXs for which several EVs receive the power it needs.


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