TY - JOUR
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 - 2008/8
Y1 - 2008/8
N2 - A numerical modeling framework for planar solid-oxide fuel cell (PSOFC) based vehicular auxiliary power unit (APU) is developed. The power-conditioning system (PCS) model comprises the comprehensive transient models of PSOFC, balance-of-plant and power-electronics subsystems (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 studying fuel-cell durability. The PCS model has several key properties including: (i) it can 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 fast-simulation 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 employing the widely used ADVISOR. The computational overhead and accuracy of the fast-simulation and comprehensive models are compared. Significant savings in time compared to using the former were obtained, without compromising accuracy.
AB - A numerical modeling framework for planar solid-oxide fuel cell (PSOFC) based vehicular auxiliary power unit (APU) is developed. The power-conditioning system (PCS) model comprises the comprehensive transient models of PSOFC, balance-of-plant and power-electronics subsystems (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 studying fuel-cell durability. The PCS model has several key properties including: (i) it can 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 fast-simulation 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 employing the widely used ADVISOR. The computational overhead and accuracy of the fast-simulation and comprehensive models are compared. Significant savings in time compared to using the former were obtained, without compromising accuracy.
KW - Modeling
KW - auxiliary power unit (APU)
KW - balance of plant (BOP)
KW - planar solid-oxide fuel cell (SOFC)
KW - power conditioning
KW - power electronics
UR - http://www.scopus.com/inward/record.url?scp=56049091074&partnerID=8YFLogxK
U2 - 10.1177/0037549708097713
DO - 10.1177/0037549708097713
M3 - Article
AN - SCOPUS:56049091074
SN - 0037-5497
VL - 84
SP - 413
EP - 426
JO - SIMULATION
JF - SIMULATION
IS - 9
ER -