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Energy Management and Control of Electrical Drives in Hybrid Electrical Vehicles

Ottosson, Jonas LU (2007)
Abstract
Hybrid vehicles have attracted tremendous attention during the last years.

Increasing environmental concern and a steady increase in fuel prices are key

factors for the growing interest. Hybrid vehicles, which benefits from having

at least two different energy converters and two different energy storage

systems, have proven to have significant potential to improve fuel economy

without reducing the performance of the vehicle. However, the extra degree

of freedom inherited by the use of two energy sources on-board the vehicle,

gives rise to a more complicated energy management control.

The first part of the thesis treats the subject of energy management in... (More)
Hybrid vehicles have attracted tremendous attention during the last years.

Increasing environmental concern and a steady increase in fuel prices are key

factors for the growing interest. Hybrid vehicles, which benefits from having

at least two different energy converters and two different energy storage

systems, have proven to have significant potential to improve fuel economy

without reducing the performance of the vehicle. However, the extra degree

of freedom inherited by the use of two energy sources on-board the vehicle,

gives rise to a more complicated energy management control.

The first part of the thesis treats the subject of energy management in hybrid

electrical vehicles. The gain in fuel consumption and the minimization of

emissions are highly dependent on the performance of the control strategy. A

rather simple heuristic control strategy presented in the literature is

optimized. Heuristic control strategies are often referred to as hard to tune,

and none optimal. However, the result presented in the thesis shows that the

strategy is easily tuned, robust and has no significant cycle-beating trait.

Dynamic programming is used to obtain a global optimal solution to the

control problem. The result of this global optimization is then used as a basis

for evaluating the real-time heuristic control strategy and serves as a lower

bound for the fuel consumption for a given cycle. A comparison of fuel

consumption for the two control strategies shows that, though being quite

simple, the heuristic control strategy gives a relatively near-optimal result.

The second part of the thesis is devoted to the development of an electrically

driven rear axle for a HEV in collaboration with SAAB Automobile. A rear

drive unit, consisting of an electrical machine, planetary gear and a

differential, was provided by SAAB. Focus is on control and thermal

modeling of the electrical machine. A simple and effective field weakening

controller, giving fast field weakening performance is proposed. The fast field

weakening performance is important in a HEV since the battery voltage

undergoes rapid variations, during accelerations. In addition to this, the FWC

minimizes the torque-per-current ratio by, for a given torque, using the

current combination yielding the minimal stator current. In addition to this,

a thermal model based on several thermal measurements is proposed and

validated against data. The thermal model forms the basis for the derivation

of an over temperature controller, preventing the machine from over heating. (Less)
Please use this url to cite or link to this publication:
author
supervisor
organization
publishing date
type
Thesis
publication status
published
subject
pages
133 pages
publisher
Department of Industrial Electrical Engineering and Automation, Lund Institute of Technology
ISBN
978-91-88934-46-8
language
English
LU publication?
yes
id
4d419c87-127b-4213-8b0b-8b0d17c56a08 (old id 587946)
alternative location
http://www.iea.lth.se/publications/Theses/LTH-IEA-1054.pdf
date added to LUP
2007-10-30 09:31:38
date last changed
2016-09-19 08:45:14
@misc{4d419c87-127b-4213-8b0b-8b0d17c56a08,
  abstract     = {Hybrid vehicles have attracted tremendous attention during the last years.<br/><br>
Increasing environmental concern and a steady increase in fuel prices are key<br/><br>
factors for the growing interest. Hybrid vehicles, which benefits from having<br/><br>
at least two different energy converters and two different energy storage<br/><br>
systems, have proven to have significant potential to improve fuel economy<br/><br>
without reducing the performance of the vehicle. However, the extra degree<br/><br>
of freedom inherited by the use of two energy sources on-board the vehicle,<br/><br>
gives rise to a more complicated energy management control.<br/><br>
The first part of the thesis treats the subject of energy management in hybrid<br/><br>
electrical vehicles. The gain in fuel consumption and the minimization of<br/><br>
emissions are highly dependent on the performance of the control strategy. A<br/><br>
rather simple heuristic control strategy presented in the literature is<br/><br>
optimized. Heuristic control strategies are often referred to as hard to tune,<br/><br>
and none optimal. However, the result presented in the thesis shows that the<br/><br>
strategy is easily tuned, robust and has no significant cycle-beating trait.<br/><br>
Dynamic programming is used to obtain a global optimal solution to the<br/><br>
control problem. The result of this global optimization is then used as a basis<br/><br>
for evaluating the real-time heuristic control strategy and serves as a lower<br/><br>
bound for the fuel consumption for a given cycle. A comparison of fuel<br/><br>
consumption for the two control strategies shows that, though being quite<br/><br>
simple, the heuristic control strategy gives a relatively near-optimal result.<br/><br>
The second part of the thesis is devoted to the development of an electrically<br/><br>
driven rear axle for a HEV in collaboration with SAAB Automobile. A rear<br/><br>
drive unit, consisting of an electrical machine, planetary gear and a<br/><br>
differential, was provided by SAAB. Focus is on control and thermal<br/><br>
modeling of the electrical machine. A simple and effective field weakening<br/><br>
controller, giving fast field weakening performance is proposed. The fast field<br/><br>
weakening performance is important in a HEV since the battery voltage<br/><br>
undergoes rapid variations, during accelerations. In addition to this, the FWC<br/><br>
minimizes the torque-per-current ratio by, for a given torque, using the<br/><br>
current combination yielding the minimal stator current. In addition to this,<br/><br>
a thermal model based on several thermal measurements is proposed and<br/><br>
validated against data. The thermal model forms the basis for the derivation<br/><br>
of an over temperature controller, preventing the machine from over heating.},
  author       = {Ottosson, Jonas},
  isbn         = {978-91-88934-46-8},
  language     = {eng},
  pages        = {133},
  publisher    = {ARRAY(0x91794c0)},
  title        = {Energy Management and Control of Electrical Drives in Hybrid Electrical Vehicles},
  year         = {2007},
}