Title :
Optimal energy management in series hybrid electric vehicles
Author :
Brahma, A. ; Guezennec, Y. ; Rizzoni, G.
Author_Institution :
DOE-GATE Center on Hybrid Drivetrains & Control Syst., Ohio State Univ., Columbus, OH, USA
Abstract :
This paper deals with the optimization of the instantaneous electrical generation/electrical storage power split in series hybrid electric vehicles (SHEV). Optimal energy management is related to the optimization of the instantaneous generation/storage power split in SHEV. Previously, a power split type solution of the series hybrid energy management problem has been attempted using a rule-based approach. Our approach performs a dynamic programming solution of the problem of determining the optimal power split between both sources of energy, with realistic cost calculation for all considered power trajectories for the combined APU/generator, electric machines and battery efficiencies, and a penalty function formulation for the deviation of the ideal state-of-charge to be sustained over the length of time considered. The discrete state formulation of this dynamic programming approach makes the computation very efficient. Results are obtained for series hybrids for the FUDS drive cycle
Keywords :
automobiles; dynamic programming; electric vehicles; energy management systems; optimal control; FUDS drive cycle; battery; dynamic programming; electric machines; electrical storage power; energy management; optimization; power split; series hybrid electric vehicles; Batteries; Dynamic programming; Energy management; Hybrid electric vehicles; Hybrid power systems; Load flow; Mechanical power transmission; Optimal control; Power generation; Power system modeling;
Conference_Titel :
American Control Conference, 2000. Proceedings of the 2000
Conference_Location :
Chicago, IL
Print_ISBN :
0-7803-5519-9
DOI :
10.1109/ACC.2000.878772