TY - GEN
T1 - A multidiscipline and multi-rate modeling framework for planar solid-oxide fuel cell based power-conditioning system for vehicular APU
AU - Mazumder, Sudip K.
AU - Pradhan, Sanjaya
AU - Hartvigsen, Joseph
AU - Rancruel, Diego
AU - Von Spakovsky, Michael R.
AU - Khaleel, Moe
PY - 2007
Y1 - 2007
N2 - We develop a numerical modeling framework for planar solid-oxide fuel cell (PSOFC) based vehicular auxiliary power unit (APU). The power-conditioning system (PCS) model comprises the comprehensive transient models of PSOFC, balance-of-plant and power-electronics subsystems (i.e., BOPS and PES, respectively), and application load (AL). It can be used for resolving the interactions among PSOFC, BOPS, PES, and AL, control design and system optimization, and fuel-cell durability studies. The PCS model has several key properties including the following: i) it can predict simultaneously predict spatial as well as temporal dynamics; ii) it has two levels of abstraction: comprehensive (for detailed dynamics) and reduced-order (for fast simulation); and iii) the fastsimulation model can be implemented completely in Simulink/Matlab environment, thereby significantly reducing the cost as well as time and provides the avenue for real-time simulation and integration with vehicular power-train models using the widely used ADVISOR. We compared the computational overhead and accuracy of the fast-simulation and comprehensive models and the show significant savings in time obtained using the former without compromising accuracy.
AB - We develop a numerical modeling framework for planar solid-oxide fuel cell (PSOFC) based vehicular auxiliary power unit (APU). The power-conditioning system (PCS) model comprises the comprehensive transient models of PSOFC, balance-of-plant and power-electronics subsystems (i.e., BOPS and PES, respectively), and application load (AL). It can be used for resolving the interactions among PSOFC, BOPS, PES, and AL, control design and system optimization, and fuel-cell durability studies. The PCS model has several key properties including the following: i) it can predict simultaneously predict spatial as well as temporal dynamics; ii) it has two levels of abstraction: comprehensive (for detailed dynamics) and reduced-order (for fast simulation); and iii) the fastsimulation model can be implemented completely in Simulink/Matlab environment, thereby significantly reducing the cost as well as time and provides the avenue for real-time simulation and integration with vehicular power-train models using the widely used ADVISOR. We compared the computational overhead and accuracy of the fast-simulation and comprehensive models and the show significant savings in time obtained using the former without compromising accuracy.
UR - http://www.scopus.com/inward/record.url?scp=84870202210&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84870202210
SN - 9781622763580
T3 - Summer Computer Simulation Conference 2007, SCSC'07, Part of the 2007 Summer Simulation Multiconference, SummerSim'07
SP - 209
EP - 218
BT - Summer Computer Simulation Conference 2007, SCSC'07, Part of the 2007 Summer Simulation Multiconference, SummerSim'07
T2 - Summer Computer Simulation Conference 2007, SCSC 2007, Part of the 2007 Summer Simulation Multiconference, SummerSim 2007
Y2 - 15 July 2007 through 18 July 2007
ER -