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Recursive Estimation-Based Maximum Power Extraction Technique for a Fuel Cell Power Source Used in Vehicular Applications

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Title Recursive Estimation-Based Maximum Power Extraction Technique for a Fuel Cell Power Source Used in Vehicular Applications
 
Creator SOMAIAH, B
AGARWAL, V
 
Subject Compact PCI (cPCI)
cuk converter
fuel cell (FC)
maximum power point (MPP)
recursive least squares estimation (RLSE)
vehicular drive cycle
LEAST-SQUARES
CONVERTER
TRACKING
SYSTEMS
EFFICIENT
 
Description Extraction of maximum power from a fuel cell (FC) power source (PS) is essential for its optimum and economical utilization. However, the maximum extractable power from an FCPS varies dynamically during the fuel cell operation for varying load current requirements as the system parameters are also changing. One such example is the use of an FCPS in vehicular applications, where the power requirement varies dynamically during the drive cycle. This makes maximum power extraction a challenging task. As the load varies, the equivalent resistance (R-EFC) appearing across the FC varies too. The maximum power point (MPP) appears prominently on the power versus R-EFC curve. This paper presents a novel MPP tracking (MPPT) scheme using nonlinear curve fitting and recursive least-squares estimation (RLSE). A current controlled Cuk converter is used due to its low ripple feature. RLSE determines the MPP online, which is used as a reference for the control of the Cuk converter. The performance of this MPPT scheme for a typical vehicular drive cycle is compared with the popular "Perturb and Observe" and Incremental conductance methods. All the analytical and simulation results are included. Experimental results are also presented to validate the proposed scheme for the drive cycle load profile.
 
Publisher IEEE-INST ELECTRICAL ELECTRONICS ENGINEERS INC
 
Date 2014-10-14T17:42:08Z
2014-10-14T17:42:08Z
2013
 
Type Article
 
Identifier IEEE TRANSACTIONS ON POWER ELECTRONICS, 28(10)4636-4643
http://dx.doi.org/10.1109/TPEL.2012.2236688
http://dspace.library.iitb.ac.in/jspui/handle/100/14595
 
Language en