Fuzzy-logic-based torque control strategy for parallel-type hybridelectric vehicle
Hyeoun-Dong Lee
Seung-Ki Sul
Sch. of Electr. Eng., Seoul Nat. Univ.;
This paper appears in: Industrial Electronics, IEEE Transactions on
Publication Date: Aug 1998
Volume: 45,
Issue: 4
On page(s): 625-632
ISSN: 0278-0046
References Cited: 7
CODEN: ITIED6
INSPEC Accession Number: 6000790
Digital Object Identifier: 10.1109/41.704891
Current Version Published: 2002-08-06
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
(NOx) 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 NOx emission and better charge balance without
an extra battery charger over the conventional deterministic-table-based
strategy
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