dc.contributor.advisor |
Vaughan, N. D. |
|
dc.contributor.author |
Cacciatori, E. |
|
dc.date.accessioned |
2016-11-23T12:34:56Z |
|
dc.date.available |
2016-11-23T12:34:56Z |
|
dc.date.issued |
2006 |
|
dc.identifier.uri |
http://dspace.lib.cranfield.ac.uk/handle/1826/11017 |
|
dc.description.abstract |
Poweitrain
systems of increasing complexity are being introduced by automotive
manufacturers in order to reduce carbon emissions into the
atmosphere: hybrid electric
vehicles and
continuously variable transmissions represent effective contributions to
achieve the emission reduction
target. The increased complexity calls for more
sophisticated control strategies to be developed; different energy management
approaches have been investigated in the past, in most cases without considering
driveability requirements. Those strategies relying on the knowledge of future driving
conditions cannot be
deployed in a real-time controller and are only used to investigate
patterns of optimal behaviour.
This Thesis
investigates two energy management strategies for an innovative
parallel hybrid powertrain concept with innately variable transmission. This was
developed as part of a government funded research project aiming at demonstrating the
potential fuel economy benefit of such driveline configuration. Both strategies have a
common architecture and
rely on a common scheme to control the transient vehicle
response; this was experimentally calibrated in order to provide improved driveability
levels with
respect to the conventional non hybrid powertrain deploying the same
transmission
concept. This control scheme and its calibration are maintained across the
two
energy management strategies so that consistent vehicle behaviour is achieved and
the cost of driveability in terms of energy usage is preserved.
The first
energy management strategy was heuristically formulated to maximise
operation of the single powertrain components in conditions of maximum efficiency.
Optimal design techniques were adopted for the calibration of the corresponding rule
set. The second
strategy formulation was based on the analysis of the simulation
results obtained from a
dynamic programming model; regression analysis techniques
were used to
provide the necessary knowledge base required for the control rules
formulation and calibration. ln both cases
engineering intuition is required for the
interpretation of the simulation results and for the individuation of patterns of
behaviour.
The
hybrid powertrain provides consistent fuel economy improvements with
respect to the equivalent non hybrid powertrain with innately variable transmission. A
driveability appraisal was conducted and the subjective ratings showed an improved
overall
driveability level of the hybrid powertrain. Despite producing different control
and state
trajectories, both strategies provide similar fuel economy figures across a set
of
legislative drive cycles thus demonstrating that both approaches effectively exploit
the hardware limits of the
powertrain plant. |
en_UK |
dc.language.iso |
en |
en_UK |
dc.publisher |
Cranfield University |
en_UK |
dc.rights |
© Cranfield University, 2006. All rights reserved. No part of this publication may be reproduced without the written permission of the copyright holder. |
en_UK |
dc.title |
Advanced control concepts for a parallel hybrid powertrain with infinitely variable transmission |
en_UK |
dc.type |
Thesis or dissertation |
en_UK |
dc.type.qualificationlevel |
Doctoral |
en_UK |
dc.type.qualificationname |
PhD |
en_UK |