TY - JOUR
T1 - On the design of robust energy management strategies for FCHEV
AU - Morales-Morales, Josefa
AU - Cervantes, Ilse
AU - Cano-Castillo, Ulises
N1 - Publisher Copyright:
© 2015 IEEE.
PY - 2015/5/1
Y1 - 2015/5/1
N2 - In this paper, we analyze the limitations that impose the presence of uncertainty in the design of optimal energy management strategies (EMSs) for fuel cell (FC) hybrid electric vehicles. Using an electric powertrain constituted by a hydrogen FC and a battery bank, the fuel consumption minimization problem is analyzed in the presence of parametric uncertainty. The conditions that ensure that the nominal optimization problem matches the solution of the real (unknown) optimization problem are clearly stated. By observing that the uncertainty will limit the feasible solutions of the minimization consumption problem, supervisory control constituted by heuristic rules is proposed to face such limitations, resulting in a mixed optimal-heuristic EMS. The effect of the powertrain design, driving cycle, and initial conditions in the proposed strategy is discussed. Numerical simulations provide evidence of the advantages and features of the supervisory control strategy.
AB - In this paper, we analyze the limitations that impose the presence of uncertainty in the design of optimal energy management strategies (EMSs) for fuel cell (FC) hybrid electric vehicles. Using an electric powertrain constituted by a hydrogen FC and a battery bank, the fuel consumption minimization problem is analyzed in the presence of parametric uncertainty. The conditions that ensure that the nominal optimization problem matches the solution of the real (unknown) optimization problem are clearly stated. By observing that the uncertainty will limit the feasible solutions of the minimization consumption problem, supervisory control constituted by heuristic rules is proposed to face such limitations, resulting in a mixed optimal-heuristic EMS. The effect of the powertrain design, driving cycle, and initial conditions in the proposed strategy is discussed. Numerical simulations provide evidence of the advantages and features of the supervisory control strategy.
KW - Energy management
KW - fuel economy (FE)
KW - optimal control
UR - http://www.scopus.com/inward/record.url?scp=84929346680&partnerID=8YFLogxK
U2 - 10.1109/TVT.2014.2336214
DO - 10.1109/TVT.2014.2336214
M3 - Artículo
SN - 0018-9545
VL - 64
SP - 1716
EP - 1728
JO - IEEE Transactions on Vehicular Technology
JF - IEEE Transactions on Vehicular Technology
IS - 5
M1 - 6849491
ER -