Paper Info
Title
Fuzzy-logic-based torque control strategy for parallel-type hybrid electric vehicle
Abstract
In a parallel-type hybrid electric vehicle (HEV), torque assisting and battery recharging control using the electric machine is the key point for efficient driving. In this paper, by adopting the decision-making property of fuzzy logic, the driving map for an HEV is made according to driving conditions. In this fuzzy logic controller, the induction machine torque command is generated from the acceleration pedal stroke and its rotational speed. To construct a proper rule base of fuzzy logic, the dynamo test and road tests for a hybrid powertrain are carried out, where the torque and the nitrogen oxides (NO/sub x/) emission characteristic of the diesel engine and the driver's driving patterns are acquired, respectively. An HEV, a city bus for shuttle service, with the proposed fuzzy-logic-based driving strategy was built and tested at a real service route. It reveals that the improved NO/sub x/ emission and better charge balance without an extra battery charger over the conventional deterministic-table-based strategy.
Year
DOI
Venue
1998
10.1109/41.704891
IEEE Trans. Industrial Electronics
Keywords
Field
DocType
Torque control,Hybrid electric vehicles,Fuzzy logic,Batteries,Logic testing,Electric machines,Decision making,Induction machines,Induction generators,Acceleration
Powertrain,Automotive engineering,Hybrid vehicle,Torque,Electric vehicle,Control theory,Electric machine,Fuzzy logic,Control engineering,Fuzzy control system,Engineering,Machine control
Journal
Volume
Issue
ISSN
45
4
0278-0046
Citations 
PageRank 
References 
25
3.78
1
Authors
2
Name
Order
Citations
PageRank
Hyeoun-Dong Lee1336.00
Seung-Ki Sul211024.96