CONCEPTUAL DESIGN AND OPTIMAL POWER CONTROL STRATEGY FOR AN ECO-FRIENDLY HYBRID VEHICLE

2011 ◽  
Author(s):  
N. Mir Nasiri ◽  
Frederick T. A. Chieng ◽  
Nader Barsoum ◽  
Jeffrey Frank Webb ◽  
Pandian Vasant
Keyword(s):  
Power Control ◽  
Conceptual Design ◽  
Control Strategy ◽  
Hybrid Vehicle ◽  
Optimal Power ◽  
Optimal Power Control

scholarly journals A Novel Optimal Power Control for a City Transit Hybrid Bus Equipped with a Partitioned Hydrogen Fuel Cell Stack

Energies ◽  
2020 ◽  
Vol 13 (11) ◽  
pp. 2682
Author(s):  
Gino D’Ovidio ◽  
Antonio Ometto ◽  
Carlo Villante
Keyword(s):  
Energy Storage ◽  
Fuel Cell ◽  
Power Control ◽  
Control Strategy ◽  
Hydrogen Fuel Cell ◽  
Transient Operation ◽  
Hydrogen Fuel ◽  
Optimal Power ◽  
Li Ion ◽  
Optimal Power Control

The development of more sustainable and zero-emissions collective transport solutions could play a very important measure in the near future within smart city policies. This paper tries to give a contribution to this aim, proposing a novel approach to fuel cell vehicle design and operation. Traditional difficulties experienced in fuel cell transient operation are, in fact, normally solved in conventional vehicle prototypes, through the hybridization of the propulsion system and with the complete fulfillment of transients in road energy demand through a high-capacity onboard energy storage device. This makes it normally necessary to use Li-ion battery solutions, accepting their restrictions in terms of weight, costs, energy losses, limited lifetime, and environmental constraints. The proposed solution, instead, introduces a partitioning of the hydrogen fuel cell (FC) and novel optimal power control strategy, with the aim of limiting the capacity of the energy storage, still avoiding FC transient operation. The limited capacity of the resulting energy storage systems which, instead, has to answer higher power requests, makes it possible to consider the utilization of a high-speed flywheel energy storage system (FESS) in place of high energy density Li-ion batteries. The proposed control strategy was validated by vehicle simulations based on a modular and parametric model; input data were acquired experimentally on an operating electric bus in real traffic conditions over an urban bus line. Simulation results highlight that the proposed control strategy makes it possible to obtain an overall power output for the FC stacks which better follows road power demands, and a relevant downsizing of the FESS device.

Application of Fuzzy Logic Power Control for Cognitive Radio Networks

2012 ◽  
pp. 102-114
Author(s):  
Abbas Mohammed ◽  
Elisabeth Rakus-Andersson ◽  
Wlodek Kulesza
Keyword(s):  
Fuzzy Logic ◽  
Cognitive Radio ◽  
Power Control ◽  
Control Strategy ◽  
Spectrum Sharing ◽  
Channel Gain ◽  
Primary Users ◽  
Optimal Power ◽  
Optimal Power Control ◽  
Input Variables

In this chapter, the authors present the application of fuzzy logic for power control in spectrum sharing cognitive radio network. The investigated network consists of a pair of primary users (PUs) and a pair of cognitive radio users (CRs). In order to compute an optimal power scale for the CR link, a fuzzy-based optimal power control strategy is investigated based on the Mamdani fuzzy control model using two input variables: the PU’s signal-to-noise ratio (SNR) and PU’s interference channel gain (channel gain from the cognitive radio users to primary users). Applying the fuzzy-based optimal power control strategy, the desired quality of service (QoS) is assured on the PU link, and the efficiency of spectrum usage is also maximized on the CR link in the spectrum sharing network. In addition, the bit error rate (BER) is also improved as compared with the spectrum sharing network without power control.

A optimal power control strategy based on network wisdom in wireless networks

2012 ◽  
Vol 40 (6) ◽  
pp. 475-477 ◽  
Author(s):  
Xian-wei Zhou ◽  
Zhi-mi Cheng ◽  
Yan Ding ◽  
Fu-hong Lin
Keyword(s):  
Wireless Networks ◽  
Power Control ◽  
Control Strategy ◽  
Optimal Power ◽  
Optimal Power Control
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