TY - GEN
T1 - Fuel consumption optimization for a power-split HEV via gain-scheduled model predictive control
AU - Iyama, Hitoshi
AU - Namerikawa, Toru
N1 - Publisher Copyright:
© 2014 SICE.
PY - 2014/10/23
Y1 - 2014/10/23
N2 - In this paper, we propose a fuel consumption optimization technique for a power-split hybrid electric vehicle (HEV) via gain-scheduled model predictive control. The control algorithms for the hybrid powertrain choose the power split between the internal combustion engine and electric motor of the HEV in order to minimize the fuel consumption. The operating conditions of the HEV change during driving in real time by road conditions and driver demand. Therefore, it is necessary to have optimal control in real time and to consider the time-varying motor condition. We model an HEV and propose a gain-scheduled model predictive control for a power-split HEV. Using the proposed technique, the optimal fuel consumption for a power-split HEV is achieved. Finally, the proposed approach is validated by numerical simulations.
AB - In this paper, we propose a fuel consumption optimization technique for a power-split hybrid electric vehicle (HEV) via gain-scheduled model predictive control. The control algorithms for the hybrid powertrain choose the power split between the internal combustion engine and electric motor of the HEV in order to minimize the fuel consumption. The operating conditions of the HEV change during driving in real time by road conditions and driver demand. Therefore, it is necessary to have optimal control in real time and to consider the time-varying motor condition. We model an HEV and propose a gain-scheduled model predictive control for a power-split HEV. Using the proposed technique, the optimal fuel consumption for a power-split HEV is achieved. Finally, the proposed approach is validated by numerical simulations.
KW - Gain-Scheduled Model Predictive Control
KW - Hybrid Electric Vehicle
KW - Optimal Control
UR - http://www.scopus.com/inward/record.url?scp=84911867094&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84911867094&partnerID=8YFLogxK
U2 - 10.1109/SICE.2014.6935205
DO - 10.1109/SICE.2014.6935205
M3 - Conference contribution
AN - SCOPUS:84911867094
T3 - Proceedings of the SICE Annual Conference
SP - 468
EP - 473
BT - Proceedings of the SICE Annual Conference
PB - Society of Instrument and Control Engineers (SICE)
T2 - 2014 53rd Annual Conference of the Society of Instrument and Control Engineers of Japan, SICE 2014
Y2 - 9 September 2014 through 12 September 2014
ER -