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SETSCI - Volume 5(2) (2022)
ISAS-WINTER-2022 - 6th International Symposium on Innovative Approaches in Smart Technologies, Online, Turkey, Dec 08, 2022

Elektrikli Araçlarda Elektriksel Frenlemenin Bulanık Mantık Tabanlı Karar Destek Sistemleri ile Tasarlanması
Mehmet Şen1, Muciz Özcan2*
1Necmettin Erbakan Üniversitesi, Konya, Türkiye
2Necmettin Erbakan Üniversitesi, Konya, Türkiye
* Corresponding author: mehmet.sen@asbu.edu.tr
Published Date: 2022-12-22   |   Page (s): 12-15   |    141     10
https://doi.org/10.36287/setsci.5.2.003
ABSTRACT Elektrikli araçlarda elektrik, mekanik ve kimyasal bileşenler kullanılmaktadır. Bu bileşenler çevre koşullarından ve aracın kullanıldığı yol durumundan dolayı farklı dinamiklere sahip olabilir. Bu nedenle aracın ortam durumuna göre dinamiklerinin ayarlanması bulanık mantık sistemi ile gerçekleştirilebilir. Bu çalışma elektrikli araçlarda, elektriksel frenlenmenin geliştirilmesi için bulanık mantık tabanlı bir uygulama önermektedir. MATLAB/Simulink ile geçekleştirilen uygulamada 3 farklı elektriksel frenleme çıktısı vardır.  Frenleme tipinin seçiminde; batarya doluluk oranı (SOC), araç hızı, frenleme oranı ve batarya sıcaklığı değişken olarak belirlenmiştir. Bu çalışmada elektrikli araçlarda en uygun frenlemenin seçimi için 81 farklı kural belirlenmiştir. Belirlenen kontrol sisteminde araç kullanımı boyunca güvenlik ön planda olmak üzere, araçtan en yüksek seviyede geri kazanım elde edilmesi sağlanmıştır. Geliştirilen kontrol sistemi modelinde en yüksek seviyeden geri kazanım elde edilirken, batarya yaşlanması dikkate alınmıştır. Bulanık mantık çıktısı incelendiğinde yüksek akım ve düşük akım gibi anormal durumlarda bataryaya enerji akışı gerçekleşmemektedir. Bu sayede elektrikli araçlarda batarya bozulmasını en aza indirmek için temel stratejiler sunulmuştur.
KEYWORDS batarya sıcaklığı, bulanık mantık, dinamik frenleme, elektrikli araç, faydalı frenleme
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