Title :
Torque control strategy for a parallel-hybrid vehicle using fuzzy logic
Author :
Hyeoun-Dong Lee ; Seung-Ki Sul ; Kamiya, Masashi ; Ikeda, Hinata ; Shinohara, Shoko ; Yoshida, Hiroyuki
Author_Institution :
Hyundai Motor Co., Kyunggi, South Korea
Abstract :
In this article, we introduce a fuzzy logic controller to the driving strategy of a hybrid electric vehicle (HEV). The decision making of this fuzzy logic controller is useful to nonlinear and uncertain systems such as electric vehicle applications, and the fuzzy logic controller is immune to various vehicle load and road conditions. To construct the proper rule base of the fuzzy logic controller, the torque-producing, pollutant-emission, and fuel-consumption characteristics of the diesel engine and the hybrid system are clarified through dynamo testing. Then, the driving patterns of the driver and vehicle load on the service course are investigated. These results are also reflected in constructing the rule bases of the proposed fuzzy logic controller. To prove the usefulness of the proposed fuzzy logic controller, actual road tests of the parallel HEV are carried out. Note that the battery maintains its nominal voltage through 20 days of running without extra charging process.
Keywords :
air pollution control; asynchronous machines; electric vehicles; fuzzy control; machine control; torque control; automatic environmental tests; bidirectional test data transmission; binary status data-collection subsystem; contact-type analog-data-collection subsystem; control PC; control lines; control subsystem; data analysis subsystem; data transmission system; data-analysis subsystem; data-collection; decision making; diesel engine; driving patterns; dynamo testing; environmental test system; fuel-consumption; fuzzy logic controller; hybrid system; image data-collection subsystem; integrated data-collection/transmission system; load conditions; metal wires; noncontact-type analog-data-collection subsystem; nonlinear systems; optical links; parallel HEV; parallel-hybrid vehicle; pollutant-emission; remote PC; road conditions; road tests; rule bases; sensors scanning; sensors selection; temperture tests; test data transmission subsystem; test room; test setup; test setup controller; torque control strategy; torque-production; uncertain systems; vibration tests; Control systems; Decision making; Fuzzy logic; Hybrid electric vehicles; Logic testing; Nonlinear control systems; Pollution; Road vehicles; Torque control; Uncertain systems;
Journal_Title :
Industry Applications Magazine, IEEE
DOI :
10.1109/2943.877838