Title :
An adaptive online energy management controller for power-split HEV based on Dynamic Programming and fuzzy logic
Author :
Chen, Zheng ; Mi, Chris Chunting
Author_Institution :
Dept. of Electr. & Comput. Eng., Univ. of Michigan-Dearborn, Dearborn, MI, USA
Abstract :
Power split hybrid electric vehicles (HEVs) offer high fuel efficiency. The complex powertrain structure brings difficulties as well as opportunities for energy management. In this paper, energy management strategies for the torque distribution are established and implemented. First, the optimal results are obtained based on the dynamic programming (DP) method, then through analyzing the result of DP, the fuzzy membership function and rules are established according to the ratio of engine power to system power, vehicle speed, acceleration and battery SOC. An online fuzzy energy management controller is imbedded into the vehicle controller. Finally simulation results verify the effectiveness of controller.
Keywords :
adaptive control; dynamic programming; energy management systems; fuzzy logic; hybrid electric vehicles; adaptive online energy management controller; dynamic programming; fuzzy logic; fuzzy membership function; power split hybrid electric vehicles; powertrain structure; torque distribution; vehicle controller; Adaptive control; Dynamic programming; Energy management; Fuels; Fuzzy logic; Fuzzy systems; Hybrid electric vehicles; Mechanical power transmission; Programmable control; Torque; dynamic programming; energy management; fuzzy logic; power ratio;
Conference_Titel :
Vehicle Power and Propulsion Conference, 2009. VPPC '09. IEEE
Conference_Location :
Dearborn, MI
Print_ISBN :
978-1-4244-2600-3
Electronic_ISBN :
978-1-4244-2601-0
DOI :
10.1109/VPPC.2009.5289831
