基于遗传模拟退火算法的无线电能传输系统
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南京师范大学

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TN98

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Wireless power transfer system based on genetic simulation annealing algorithm
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    摘要:

    针对磁耦合谐振式无线电能传输系统的各项参数变化对传输效率的影响及传输效率不高的问题。以提高系统的传输效率为目标,通过Matlab仿真软件对频率、电阻、线圈互感等参数对传输效率的影响进行了分析,引入遗传模拟退火算法对系统工作频率、线圈匝数、线圈半径、线圈间距离以及负载阻值进行参数优化。最后在Python软件中对遗传模拟退火算法进行了仿真,得到了系统参数对应的一组最优解使得系统的最高传输效率可达94.27%。仿真结果表明该优化算法的可行性和有效性,能够有效地优化系统参数从而提高无线电能传输系统的传输效率,具有一定的实际应用价值。

    Abstract:

    Aiming at the influence of various parameter changes on the transmission efficiency of the magnetic coupling resonant wireless power transmission system and the problem of low transmission efficiency. With the goal of improving the transmission efficiency of the system, the influence of frequency, resistance, coil mutual inductance and other parameters on the transmission efficiency was analyzed through Matlab simulation software, and the genetic simulated annealing algorithm was introduced to optimize the system operating frequency, coil turns, coil radius, coil distance and load resistance. Finally, the genetic simulated annealing algorithm was simulated in Python software, and a set of optimal solutions corresponding to the system parameters were obtained, so that the maximum transmission efficiency of the system can reach 94.27%. The simulation results show the feasibility and effectiveness of the optimization algorithm, which can effectively optimize the system parameters and thus improve the transmission efficiency of the wireless power transmission system, and has certain practical application value.

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历史
  • 收稿日期:2024-09-15
  • 最后修改日期:2024-11-07
  • 录用日期:2024-11-11
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