A Fuzzy – Genetic Algorithm Approach for Finding a New HEV Control Strategy Idea
Publish Year: 1388
نوع سند: مقاله کنفرانسی
زبان: English
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شناسه ملی سند علمی:
PEDSTC01_041
تاریخ نمایه سازی: 21 تیر 1391
Abstract:
In this paper, a novel control strategy for hybrid electric vehicles (HEVs) is presented. The proposed method is based on global optimization for energy management system of a conventional parallel HEV. A rule based fuzzy control strategy is considered for optimization of the system. The fuzzy membership function boundaries are kept constant and the fuzzy rule table is optimized by using genetic algorithm for different types of cycles. The results of the proposed optimization method suggest that fixing the internal combustion engine (ICE) torque constant is prior to keeping the state of charge (SOC) of the batteries constant. It confirms that the electric machine should provide dynamic power of the load and static power should be supplied by the ICE.
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Authors
arash Zargham nejhad
Department of Electrical and Computer Engineering, University of Tehran
behzad Asaei
Department of Electrical and Computer Engineering, University of Tehran