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

fYear

2009

fDate

7-10 Sept. 2009

Firstpage

335

Lastpage

339

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;

fLanguage

English

Publisher

ieee

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

Type

conf

DOI

10.1109/VPPC.2009.5289831

Filename

5289831