Genetic Algorithm Enhanced Resonant Converter Design for Battery Charging Applications in Electric Vehicles

Öz

This paper presents a comprehensive study on the optimization of LLC resonant converters using genetic algorithm. Precise adjustment of Lr, Lm, and Cr resonant parameters is crucial for achieving high power conversion efficiency, while the effectiveness of LLC resonant converters is greatly dependent on this process. Due to the complex and nonlinear operation of the converter, traditional design techniques often fail to optimize these parameters. To overcome this challenge, an optimization strategy based on genetic algorithms, which intelligently explores the parameter space in search of ideal solutions maximizing the converter's efficiency, has been applied. The process involves formulating the optimization problem, implementing the genetic algorithm, and examining the simulation results. Overall, these steps demonstrate that optimized designs outperform traditional options. According to the simulation results, the system efficiency was achieved as 96.8%. The results indicate that genetic algorithms can significantly enhance the performance of LLC resonant converters and provide powerful tools for power electronics designers. The implications of this research extend to the creation of more durable and efficient power systems that can find applications in various industries requiring reliable and effective power conversion.

Anahtar Kelimeler

• Battery chargers
• LLC resonance converters
• Optimization
• High efficiency
• Genetic algorithm

Elektrikli Araçlarda Kullanılan Batarya Şarj Uygulamaları için Genetik Algoritma ile Geliştirilmiş Bir Rezonans Dönüştürücü Tasarımı

Öz

Bu makale, genetik algoritma kullanarak LLC rezonans dönüştürücülerin optimizasyonu üzerine kapsamlı bir çalışmayı sunmaktadır. Lr, Lm ve Cr rezonans parametrelerinin hassas bir şekilde ayarlanması yüksek güç dönüşüm verimliliği elde etmek için hayati önem taşırken, LLC rezonans dönüştürücülerin etkinliği de büyük ölçüde bu sürece bağlıdır. Dönüştürücünün karmaşık ve doğrusal olmayan işleyişi nedeniyle, geleneksel tasarım teknikleri bu parametreleri optimize etmekte sıklıkla başarısız olur. Bu çalışmada bu zorluğun üstesinden gelmek için, dönüştürücünün etkinliğini en üst düzeye çıkaran ideal çözümlerin arayışında parametre uzayını akıllıca araştıran genetik algoritmalar temelli bir optimizasyon stratejisi uygulanmıştır. Süreç, optimizasyon sorununun formülasyonunu, genetik algoritmanın uygulanmasını ve benzetim sonuçlarının incelenmesini içermektedir. Benzetim sonuçları göstermiştir ki toplamda bu adımlar, optimize edilmiş tasarımların geleneksel seçeneklerden daha üstün olduğunu göstermektedir. Benzetim sonuçlarına göre, sistem verimliliği %96,8 olarak elde edilmiştir. Sonuçlar, genetik algoritmaların LLC rezonans dönüştürücü performansını büyük ölçüde iyileştirebileceğini ve güç elektroniği tasarımcıları için güçlü araçlar sağladığını göstermektedir. Bu araştırmanın, güvenilir ve etkili güç dönüşümü gerektiren çeşitli endüstri uygulamalarında kullanım bulabilecek daha dayanıklı ve verimli güç sistemlerinin oluşturulması için etkileri vardır.

Anahtar Kelimeler

• Batarya şarj cihazları
• LLC rezonans dönüştürücüler
• Optimizasyon
• Yüksek verimlilik
• Genetik algoritma

Kaynakça

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