Development of controller based on lungs performance optimization algorithm for hybrid energy storage systems of electric vehicles

Aydın Boyar; Yasin Kabalcı; Ersan Kabalcı

Makale detayları

Development of controller based on lungs performance optimization algorithm for hybrid energy storage systems of electric vehicles

Yazarlar:

Aydın Boyar | Yasin Kabalcı | Ersan Kabalcı

Yayıncı:

Nigde Omer Halisdemir University

Ana Başlıklar:

Elektrik Makineleri ve Sürücüler

Dergi:

Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi Vol.13 Issue 3, pp.948-955

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001322973

pISSN:

2564-6605

Anahtar kelimeler:

Özet:

 Electric vehicles EVs have the potential to replace fossil fuel vehicles with advantages such as energy-saving capabilities and lack of exhaust pollution. However, pure electric vehicles still face limitations such as poor energy consumption, long charging times, and short battery range. Therefore, the use of hybrid energy storage systems HESS in EVs is becoming widespread. In this study, a new controller design was realized using the lungs performance-based optimization LPO algorithm and the energy consumption demands of EV HESS were optimized thanks to the designed system. The performance results of the proposed system were compared with other EV HESS management systems in the literature, and it was concluded in this study that the proposed LPO-based system is much superior to previous methods, typically reducing energy consumption by 21.86.

 Electric vehicles EVs have the potential to replace fossil fuel vehicles with advantages such as energy-saving capabilities and lack of exhaust pollution. However, pure electric vehicles still face limitations such as poor energy consumption, long charging times, and short battery range. Therefore, the use of hybrid energy storage systems HESS in EVs is becoming widespread. In this study, a new controller design was realized using the lungs performance-based optimization LPO algorithm and the energy consumption demands of EV HESS were optimized thanks to the designed system. The performance results of the proposed system were compared with other EV HESS management systems in the literature, and it was concluded in this study that the proposed LPO-based system is much superior to previous methods, typically reducing energy consumption by 21.86.

 Electric vehicles EVs have the potential to replace fossil fuel vehicles with advantages such as energy-saving capabilities and lack of exhaust pollution. However, pure electric vehicles still face limitations such as poor energy consumption, long charging times, and short battery range. Therefore, the use of hybrid energy storage systems HESS in EVs is becoming widespread. In this study, a new controller design was realized using the lungs performance-based optimization LPO algorithm and the energy consumption demands of EV HESS were optimized thanks to the designed system. The performance results of the proposed system were compared with other EV HESS management systems in the literature, and it was concluded in this study that the proposed LPO-based system is much superior to previous methods, typically reducing energy consumption by 21.86.

 Elektrikli araçlar, enerji tasarrufu yetenekleri ve egzoz kirliliğinin olmaması gibi avantajlarla fosil yakıtlı araçların yerini alma potansiyeline sahiptir. Ancak, saf elektrikli araçlar hâlâ kötü enerji tüketimi, uzun şarj süreleri ve kısa batarya menzili gibi kısıtlamalarla karşı karşıyadır. Bu nedenle elektrikli araçlarda hibrit enerji depolama sistemlerinin kullanılması yaygınlaşmaktadır. Bu çalışmada, akciğer performansına dayalı optimizasyon algoritması kullanılarak yeni bir kontrolör tasarımı gerçekleştirilmiş ve elektrikli araçların hibrit enerji depolama sistemlerinin enerji tüketim talepleri tasarlanan sistem ile optimize edilmiştir. Önerilen sistemin performans sonuçları literatürdeki diğer enerji yönetim sistemleri ile karşılaştırılmış ve bu çalışma ile önerilen sistemin önceki yöntemlerden çok daha üstün olduğu, tipik olarak ise enerji tüketimini 21.86 oranında düşürdüğü sonucuna ulaşılmıştır.

Makale detayları

Development of controller based on lungs performance optimization algorithm for hybrid energy storage systems of electric vehicles

Yazarlar:

Aydın Boyar | Yasin Kabalcı | Ersan Kabalcı

Yayıncı:

Nigde Omer Halisdemir University

Ana Başlıklar:

Elektrik Makineleri ve Sürücüler

Dergi:

Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi Vol.13 Issue 3, pp.948-955

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001322973

pISSN:

2564-6605

Electric vehicle

Hybrid energy storage systems

Metaheuristic algorithm

OptimizationElektrikli araç

Hibrit enerji depolama sistemi

Meta sezgisel algoritma

Optimizasyon

Sayı

Makale detayları

Yazarlar: Aydın Boyar | Yasin Kabalcı | Ersan Kabalcı

Yayıncı: Nigde Omer Halisdemir University

Ana Başlıklar: Elektrik Makineleri ve Sürücüler

Dergi: Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi Vol.13 Issue 3, pp.948-955

Belge Tipi: Makale

Yayın Tarihi: 7/2024

Belge Dili: Türkçe

Document ID (Org No.): 2001322973

pISSN: 2564-6605

Sayı

Yazarlar:

Aydın Boyar | Yasin Kabalcı | Ersan Kabalcı

Yayıncı:

Nigde Omer Halisdemir University

Ana Başlıklar:

Elektrik Makineleri ve Sürücüler

Dergi:

Niğde Ömer Halisdemir Üniversitesi Mühendislik Bilimleri Dergisi Vol.13 Issue 3, pp.948-955

Belge Tipi:

Makale

Yayın Tarihi:

7/2024

Belge Dili:

Türkçe

Document ID (Org No.):

2001322973

pISSN:

2564-6605