Highlights Power-split HEV model combined with optimal energy management strategy is developed. Multi input FLC is proposed to enhancement fuel efficiency and emission. The effects of initial SOC and road grade are investigated on HEV performance. Proposed controller represents adaptive performance over driving cycles.
Abstract Reduction of greenhouse gas emission and fuel consumption as one of the main goals of automotive industry leading to the development hybrid vehicles. The objective of this paper is to investigate the energy management system and control strategies effect on fuel consumption, air pollution and performance of hybrid vehicles in various driving cycles. In order to simulate the hybrid vehicle, the combined feedback–feedforward architecture of the power-split hybrid electric vehicle based on Toyota Prius configuration is modeled, together with necessary dynamic features of subsystem or components in ADVISOR. Multi input fuzzy logic controller developed for energy management controller to improve the fuel economy of a power-split hybrid electric vehicle with contrast to conventional Toyota Prius Hybrid rule-based controller. Then, effects of battery’s initial state of charge, driving cycles and road grade investigated on hybrid vehicle performance to evaluate fuel consumption and pollution emissions. The simulation results represent the effectiveness and applicability of the proposed control strategy. Also, results indicate that proposed controller is reduced fuel consumption in real and modal driving cycles about 21% and 6% respectively.
Development a new power management strategy for power split hybrid electric vehicles
2015-01-01
18 pages
Article (Journal)
Electronic Resource
English
HEV , hybrid electric vehicle , USDE , U.S. Department of Energy , ICE , internal combustion engine , EM , electric motor , FLC , Fuzzy Logic Controller , FCHV , fuel cell hybrid vehicle , SOC , state of charge , MPC , Model Predictive Control , PHEV , plug-in hybrid electric vehicle , NEDC , New European Driving Cycle , GHG , Green House Gas , THS , Toyota Hybrid System , EVT , electronically variable transmission , DP , dynamic programming , EMS , energy management strategy , QP , quadratic programming , MG , motor/generator , UDDS , Urban Dynamometer Driving Schedule , FTP-75 , Federal Test Procedure , Teh-car , Tehran Car , Power-split hybrid vehicle , Energy management , Fuzzy logic controller , State of charge , Pollution emissions and fuel consumption
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