Modeling of Performance of a Standard Vehicle Air Conditioning System Re-Designed for Heating Vehicle Seats via Fuzzy Logic
Yazarlar (4)
Prof. Dr. Ali ATEŞ Selçuk Üniversitesi, Türkiye
Kevser Dincer
Selçuk Üniversitesi, Türkiye
Selçuk Üniversitesi, Türkiye
Dr. Öğr. Üyesi Eyüb Canlı Selçuk Üniversitesi, Türkiye
Doç. Dr. Sadık Ata Kto Karatay Üniversitesi, Türkiye
| Makale Türü |
Özgün Makale
(Diğer hakemli uluslarası dergilerde yayınlanan tam makale)
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| Dergi Adı | Academic Platform-Journal of Engineering and Science | ||
| Dergi ISSN | 2822-2385 | ||
| Dergi Tarandığı Indeksler | TR DİZİN | ||
| Makale Dili | İngilizce | Basım Tarihi | 10-2017 |
| Cilt / Sayı / Sayfa | 5 / 3 / 82–94 | DOI | 10.21541/apjes.335093 |
| Makale Linki | https://doi.org/10.21541/apjes.335093 | ||
| UAK Araştırma Alanları |
Isı Transferi
Termodinamik
Enerji
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| Özet |
| Fuzzy Logic model of a vehicle seat heatingsystem was constituted by using data obtained from a previous experimental workof ours. A standard vehicle air conditioning system was modified in order topump heat to the surfaces of a vehicle seat. Collected data were used toconstitute the fuzzy logic model and test it. In the Fuzzy Logic method, inputparameters were selected as compressor speed (rpm) and time (s) while outputparameters were back and seating surface temperatures (oC) of thevehicle seat. Back and seating temperatures were recorded for 15 minutes forcompressor speeds ranging from 500 rpm to 1600 rpm with 100 rpm intervals. Twelvelevels of revolution and ten levels of time were selected and determined forthe fuzzyfication process. As output fuzzy levels seven back temperature levelsand eleven seat temperature levels were determined. Totally 120 supervisionrules that define relation between system input and output and detect behaviorsof fuzzy logic supervision were determined. Data that were measured at every 5seconds for 12 different rotation speed speeds which yield totally 4320 pointsfor back and seating surfaces were also found by Fuzzy Logic. Determinationcoefficient was used for the comparison of experimental and fuzzy logic results.Additionally surface temperatures were estimated with fuzzy logic forintermediate values of the experimental study. As a conclusion, fuzzy logic isfound a proper tool for rapid decision making in vehicle thermal comfort systems. |
| Anahtar Kelimeler |
BM Sürdürülebilir Kalkınma Amaçları
| Atıf Sayıları | |
| Google Scholar | 5 |