Akademik Veri Yönetim Sistemi
Tezin Türü: Yüksek Lisans
Tezin Yürütüldüğü Kurum: Orta Doğu Teknik Üniversitesi, Mühendislik Fakültesi, Elektrik ve Elektronik Mühendisliği Bölümü, Türkiye
Tezin Onay Tarihi: 2019
Öğrenci: Fuat Remzican Arıkan
Danışman: HULUSİ BÜLENT ERTAN
Özet:The main aim of this work is to investigate whether a cost competitive hybrid electric vehicle can be designed and under what conditions this can be achieved. For this purpose, first a light commercial vehicle is considered. Its model is developed in ADVISOR environment in Matlab and verified by comparing with the official tests of the vehicle, acceleration and NEDC fuel consumption, namely. Following that, electrical components are searched for rating, dimension, weight and cost through the literature and market in order to model the hybrid vehicle. A sizing approach which makes use of the energy and power requirements at the wheel of the conventional vehicle on NEDC cycle is proposed. Using the electrical component models, verified conventional vehicle model and the new sizing approach, a hybrid vehicle is modeled. Hybrid vehicle is found to consume 55% less than the conventional vehicle on NEDC cycle and it accelerates from 0 to 100 kph 36% slower than the conventional vehicle. Hybrid vehicle is heavier than conventional vehicle around 20% and its initial cost is 1.65 times the conventional vehicle. However, with 200 km per day usage, hybrid vehicle is found to overtake conventional vehicle in 2.8 years in terms of total vehicle costs. Running and initial costs of the vehicle are calculated depending on the component ratings to develop a mathematical model for optimization. After executing parameter sensitivity analysis for different cases, Genetic Algorithm optimization process has taken place using the hybrid vehicle model and the cost calculations, to achieve the purpose of developing a cost competitive hybrid electric vehicle from various aspects. Optimization results are found out to be 0.1% close to proposed sizing method results whereas conventional sizing method is 5% close. Proposed method resulted in lower initial cost and 10 years term running costs than the conventional sizing method.