scholarly journals A multi-objective optimization algorithm based on self-organizing maps applied to wireless power transfer systems

Author(s):  
Sami Barmada ◽  
Marco Raugi ◽  
Mauro Tucci
2019 ◽  
Vol 83 ◽  
pp. 25-42 ◽  
Author(s):  
Johan Winges ◽  
Thomas Rylander ◽  
Carl Petersson ◽  
Christian Ekman ◽  
Lars-Ake Johansson ◽  
...  

Energies ◽  
2020 ◽  
Vol 13 (9) ◽  
pp. 2209 ◽  
Author(s):  
Jie Wu ◽  
Lizhong Bie ◽  
Nan Jin ◽  
Leilei Guo ◽  
Jitao Zhang ◽  
...  

In wireless charging devices, a transmitter that applies a single inverter to output dual-frequency can effectively solve the charging incompatibility problem caused by different wireless charging standards and reduce the equipment volume. However, it is very difficult to solve the switching angle of the modulated dual-frequency waveform, which involves non-linear high-dimensional multi-objective optimization with multiple constraints. In this paper, an improved differential evolution (DE) algorithm is proposed to solve the transcendental equations of switching angle trains of dual-frequency programmed harmonic modulation (PHM) waveform. The proposed algorithm maintains diversity while preserving the elites and improves the convergence speed of the solution. The advantage of the proposed algorithm was verified by comparing with non-dominated sorting genetic algorithm II (NSGA II) and multi-objective particle swarm optimization (MOPSO). The simulation and experimental results validate that the proposed method can output dual-frequency with a single inverter for wireless power transfer (WPT).


Author(s):  
Manuele Bertoluzzo ◽  
Elisabetta Sieni

Purpose This paper aims to present an approach to the design of the compensation networks (CNs) based on a genetic optimization algorithm. The algorithm is applied to CNs with T-topology and considers the effects of the parasitic series resistances of their inductive components. The effectiveness of the algorithm is verified using Bode diagrams and simulation results. Design/methodology/approach The paper at first describes the problem and the approach followed to reach a set of optimal solutions, then explains the optimization algorithm, reports the obtained solutions and selects the optimal CNs. Finally, the actual performance of the wireless power transfer system (WPTS) when the selected CNs are used are checked. Findings This approach gave interesting results and made available a number of different sizing solutions of complex networks in a very short time. Most of the obtained solutions outperform the widely used series-series compensation. An accurate post processing of the obtained result is mandatory to discriminate the solutions that could be implemented from those that in a real system would originate uncontrolled high frequency current oscillation. Originality/value This paper offers a rather new approach to solve the problem of sizing the CNs of a dynamic WPTS. This approach makes available a large number of optimal solutions to the problem in a short time, without solving complex system of equations.


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