Studies on analysis methods of energy transmission efficiency of the fuze inductive setting

Author(s):  
Chang Yue ◽  
Lijie ◽  
Hu Junming ◽  
Zhang Feng
2012 ◽  
Vol 195-196 ◽  
pp. 1169-1174
Author(s):  
Liang Yu Bai ◽  
Yu Zheng ◽  
Hou Jun Tang

Transcutaneous energy transmission (TET) systems are designed to deliver power from an in vitro primary power source to in vivo implantable secondary over relatively large air gaps via magnetic coupling. This paper proposes an optimization method with given output power to meet different practical application. The transmission efficiency is the objective function; primary and secondary coils are design variables; constraints are based on bifurcation phenomenon and components peak over-voltage and peak withstand current. We have used MATLAB/ SIMULINK to verify the analytical results.


2012 ◽  
Vol 60 (1) ◽  
pp. 119-124 ◽  
Author(s):  
M. Siwczyński ◽  
M. Jaraczewski

Reactive compensator synthesis in time-domain The source reactive-current compensation is crucial in the energy transmission efficiency. The compensator design in a frequency-domain has already been widely discussed and examined. This paper presents results of a study on how to design reactive compensators in a time-domain. It is the first time the reactive compensator has been designed in a time domain. The example of a compensator is presented.


Complexity ◽  
2020 ◽  
Vol 2020 ◽  
pp. 1-8
Author(s):  
Yuanming Song ◽  
Yajie Liu ◽  
Wanli Xu ◽  
Xu Yang ◽  
Rui Wang

With the wide application of various wireless energy transmission technologies and unmanned aerial vehicle clusters in both production and life, the use of microwave wireless energy transmission to provide a real-time energy supply for an unmanned aerial vehicle network in flight has become an effective way to extend its working time. This paper focuses on the optimization of the energy transmission efficiency and cost in the microwave wireless power receiving process of an unmanned aerial vehicle network. Considering the overall energy transmission efficiency from the power supply terminal to the power receiving network and the cost of the wireless power transmission equipment of the network, we have established a multiobjective wireless power receiving optimization model including a microwave energy emission source and an unmanned aerial vehicle network that receives energy. The model is optimized to select the best wireless power access point and the number of wireless power receiving modules in a network node. In the case study, the optimization model is solved using an evolutionary algorithm, and the solution results verify the effectiveness and correctness of the model.


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