TY - GEN
T1 - SDP-based extremum seeking energy management strategy for a power-split hybrid electric vehicle
AU - Wang, Yu
AU - Sun, Zongxuan
PY - 2012
Y1 - 2012
N2 - The pursuit of high fuel efficiency and low emissions has inspired a lot of research efforts on automotive powertrain hybridization. Targeted at developing a real-time hybrid energy management strategy, a stochastic dynamic programming extremum seeking (SDP-ES) optimization algorithm with both the system states and output feedback is investigated in this paper. This SDP-ES algorithm utilizes a state-feedback control, which is offline generated by the stochastic dynamic programming (SDP), as a reference term to ensure the approximate global energy optimality and battery state-of-charge (SOC) sustainability. And in real-time, this algorithm injects a local feedback term via extremum seeking (ES), which is a non-model-based nonlinear optimization method, to compensate the control commands from the SDP and generate more fuel-efficient operation points along the specific SOC sustaining line, by leveraging the real-time measurement of system outputs (fuel consumption and emissions). The simulation results show the SDP-ES algorithm can provide desirable improvement of fuel economy based on the original SDP.
AB - The pursuit of high fuel efficiency and low emissions has inspired a lot of research efforts on automotive powertrain hybridization. Targeted at developing a real-time hybrid energy management strategy, a stochastic dynamic programming extremum seeking (SDP-ES) optimization algorithm with both the system states and output feedback is investigated in this paper. This SDP-ES algorithm utilizes a state-feedback control, which is offline generated by the stochastic dynamic programming (SDP), as a reference term to ensure the approximate global energy optimality and battery state-of-charge (SOC) sustainability. And in real-time, this algorithm injects a local feedback term via extremum seeking (ES), which is a non-model-based nonlinear optimization method, to compensate the control commands from the SDP and generate more fuel-efficient operation points along the specific SOC sustaining line, by leveraging the real-time measurement of system outputs (fuel consumption and emissions). The simulation results show the SDP-ES algorithm can provide desirable improvement of fuel economy based on the original SDP.
UR - http://www.scopus.com/inward/record.url?scp=84869396156&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84869396156&partnerID=8YFLogxK
M3 - Conference contribution
AN - SCOPUS:84869396156
SN - 9781457710957
T3 - Proceedings of the American Control Conference
SP - 553
EP - 558
BT - 2012 American Control Conference, ACC 2012
T2 - 2012 American Control Conference, ACC 2012
Y2 - 27 June 2012 through 29 June 2012
ER -