Here, a hybrid vehicle structure comprising fuel cell/battery and a PMDC electrical machine has been proposed, in which an intelligent controller is to perform power management and regenerative braking tasks. Instead of a gasoline engine, an electric machine fulfills the power demand from the vehicle during driving and braking modes. In addition, regenerative braking is possible in the proposed structure. The fuel cell is connected to a battery (DC bus) via a DC/DC converter which can control the fuel cell power/current with a switching strategy. A Nero–Fuzzy controller has been devised in order for taking the power demand as one of its controlling signals and making decision with respect to the power management issue. Duty cycle of the DC/DC converter is computed by the driving controller and applied with a certain switching frequency. Along with the power demand, braking pedal displacement, and the battery state of charge act as controlling signals, which allow the power management controller to perform pertinent analysis for power sharing decision between both the power sources. A threshold zone has been considered for braking pedal, according to which a regenerative torque is produced by the electrical machine. Finally, the simulation results have been considered from different point of views and evaluated, which shows a tenable achievement. Particularly, a series of driving maneuvers were applied to the vehicle, and the results show that the proposed structure has a promising performance as a civic automobile with zero emissions.

References

1.
Guezennec
,
Y.
,
Choi
,
T.-Y.
,
Paganelli
,
G.
, and
Rizzoni
,
G.
,
2003
, “
Supervisory Control of Fuel Cell Vehicles and Its Link to Overall System Efficiency and Low-Level Control Requirements
,”
Proceedings of the American Control Conference
,
Denver, CO
, June 4–6, pp.
2055
2061
.10.1109/ACC.2003.1243377
2.
Rodatz
,
P.
,
Paganelli
,
G.
,
Sciarretta
,
A.
, and
Guzzella
,
L.
,
2005
, “
Optimal Power Management of an Experimental Fuel Cell/Supercapacitor-Powered Hybrid Vehicle
,”
Control Eng. Pract.
,
13
(
1
), pp.
41
53
.10.1016/j.conengprac.2003.12.016
3.
Sciarretta
,
A.
,
Guzzella
,
L.
, and
Onder
,
C. H.
,
2003
, “
On the Power Split Control of Parallel Hybrid Vehicles: From Global Optimization Towards Real-Time Control
,”
Automatisierungstechnik
,
51
(
5
), pp.
195
205
.10.1524/auto.51.5.195.19568
4.
Fathy
,
H.
,
Reyer
,
J.
,
Papalambros
,
P.
, and
Ulsoy
,
A.
,
2001
, “
On the Coupling Between the Plant and Controller Optimization Problems
,”
Proceedings of the American Control Conference
,
Arlington, VA
, June 25–27, pp.
1864
1869
.10.1109/ACC.2001.946008
5.
Assanis
,
D.
,
Delagrammatikas
,
G.
,
Fellini
,
R.
,
Filipi
,
Z.
,
Liedtke
,
J.
,
Michelena
,
N.
,
Papalambros
,
P.
,
Reyes
,
D.
,
Rosenbaum
,
D.
,
Sales
,
A.
, and
Sasena
,
M.
,
1999
, “
An Optimization Approach to Hybrid Electric Propulsion System Design
,”
Mech. Struct. Mach.
,
27
(
4
), pp.
393
421
.10.1080/08905459908915705
6.
Fellini
,
R.
,
Michelena
,
N.
,
Papalambros
,
P.
, and
Sasena
,
M.
,
1999
, “
Optimal Design of Automotive Hybrid Powertrain Systems
,”
Proceedings of the First International Symposium on Environmentally Conscious Design and Inverse Manufacturing
,
Tokyo
,
Feb. 1–3
,
IEEE
Computer Society, Los Alamitos, CA, pp.
400
405
.10.1109/ECODIM.1999.747645
7.
Ishikawa
,
T.
,
Hamaguchi
,
S.
,
Shimizu
,
T.
,
Yano
,
T.
,
Sasaki
,
S.
,
Kato
,
K.
,
Ando
,
M.
, and
Yoshida
,
H.
,
2004
, “
Development of Next Generation Fuel-Cell Hybrid System—Consideration of High Voltage System
,”
SAE
Paper No. 2004-01-1304.10.4271/2004-01-1304
8.
Atwood
,
P.
,
Gurski
,
S.
,
Nelson
,
D.
,
Wipke
,
K.
, and
Markel
,
T.
,
2002
, “
Degree of Hybridization Modeling of a Hydrogen Fuel Cell PNGV-Class Vehicle
,”
SAE
Paper No. 2002-01-1945.10.4271/2002-01-1945
9.
Wipke
,
K.
,
Markel
,
T.
, and
Nelson
,
D.
,
2003
, “
Optimizing Energy Management Strategy and Degree of Hybridization for a Hydrogen Fuel Cell SUV
,”
Proceedings of the 18th Electric Vehicle Symposium
,
Berlin
, October 20–24.
10.
Rousseau
,
A.
,
Sharer
,
P.
, and
Ahluwalia
,
R.
,
2004
, “
Energy Storage Requirements for Fuel Cell Vehicle
,”
SAE
Paper No. 2004-01-1302.10.4271/2004-01-1302
11.
Markel
,
T.
,
Zolot
,
M.
,
Wipke
,
K. B.
, and
Pesaran
,
A. A.
,
2003
, “
Energy Storage System Requirements for Hybrid Fuel Cell Vehicles
,”
Proceeding of Advanced Automotive Battery Conference
,
Nice, France
, June 10–13.
12.
Kim
,
M.-J.
, and
Peng
,
H.
,
2007
, “
Power Management and Design Optimization of Fuel Cell/Battery Hybrid Vehicles
,”
J. Power Sources
,
165
(
2
), pp.
819
832
.10.1016/j.jpowsour.2006.12.038
13.
Agnimotors
,
2009
, “
Manufacturers of High Efficiency DC Machines
,” www.agnimotors.com
14.
Centa
,
G.
,
1997
,
Motor Vehicle Dynamics: Modeling and Simulation
,
World Scientific
,
Singapore
.
15.
Pacejka
,
H. B.
,
2002
,
Tire and Vehicle Dynamics
,
Society of Automotive Engineers and Butterworth-Heinemann, Oxford
,
Oxford, UK
.
16.
Naderi
,
P.
,
Naderipour
,
A. R.
,
Mirsalim
,
M.
, and
Fard
,
M. A.
,
2010
, “
Intelligent Braking System Using Fuzzy Logic and Sliding Mode Controller
,”
Control Intell. Syst.
,
38
(
4
), pp.
236
244
.10.2316/Journal.201.2010.4.201-2225
17.
Naderi
,
P.
, and
Farhadi
,
A.
,
2012
, “
Nondriven Wheels Application for Intelligent Multiobjective Control of Hybrid Vehicles
,”
Int. J. Rob. Automat.
,
27
(
2
), pp.
185
197
.10.2316/Journal.206.2012.2.206-3477
18.
Tremblay
,
O.
,
Dessaint
,
L.-A.
, and
Dekkiche
,
A.-I.
,
2007
, “
A Generic Battery Model for the Dynamic Simulation of Hybrid Electric Vehicles
,”
Proceedings of the Vehicle Power and Propulsion Conference, 2007
,
VPPC 2007
,
Arlington, TX
, September 9–12, pp.
284
289
.10.1109/VPPC.2007.4544139
19.
Mathworks, Inc.
,
2010
,
Matlab Software Guide, Version 2010, Power System Toolbox, Electrical Sources, Mathworks, Inc., Natick, MA
.
20.
Big Ladder Software LLC
,
2012
, Advisor Software Vehicle Simulator, Big Ladder Software, Denver, CO.
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