Control Strategy for Two-Mode Hybrid Electric Vehicle by Using Fuzzy Controller

Hybrid electric vehicles can reduce pollution and
improve fuel economy. Power-split hybrid electric vehicles (HEVs)
provide two power paths between the internal combustion engine
(ICE) and energy storage system (ESS) through the gears of an
electrically variable transmission (EVT). EVT allows ICE to operate
independently from vehicle speed all the time. Therefore, the ICE can
operate in the efficient region of its characteristic brake specific fuel
consumption (BSFC) map. The two-mode powertrain can operate in
input-split or compound-split EVT modes and in four different fixed
gear configurations. Power-split architecture is advantageous because
it combines conventional series and parallel power paths. This
research focuses on input-split and compound-split modes in the
two-mode power-split powertrain. Fuzzy Logic Control (FLC) for an
internal combustion engine (ICE) and PI control for electric machines
(EMs) are derived for the urban driving cycle simulation. These
control algorithms reduce vehicle fuel consumption and improve ICE
efficiency while maintaining the state of charge (SOC) of the energy
storage system in an efficient range.





References:
[1] R.T. Doucette, M.D. McCulloch, “Modeling the prospects of plug-in
hybrid electric vehicles to reduce CO2 emissions,” Appl. Energy, 88,
2315-2323, 2011.
[2] K.T. Chau, Y.S. Wong, “Overview of power management in hybrid
electric vehicles,” Energy Convers. Manage 43, 1953–1968, 2002.
[3] B. Wu, C.C. Lin, Z. Filipi, H. Peng, “Assanis, D. Optimal power
management for a hydraulic hybrid delivery truck,” Veh. Syst. Dyn,
42(1), 23–40, 2004.
[4] L. Wang, E.G. Collins Jr., H. Li, “Optimal design and real-time control
for energy management in electric vehicles,” IEEE Trans. Veh. Technol,
60(4), 1419-1429, 2011.
[5] J. Hendrickson, A. Holmes, D. Freiman, “General Motors front wheel
drive two-mode hybrid transmission,” SAE paper 2009-01-0508, 2009.
[6] T.M. Grewe, B.M. Conlon, A.G. Holmes, “Defining the General Motors
2-mode hybrid transmission,” SAE paper 2007-01-0273, 2007.
[7] K. Ahn, S.W. Cha, “Developing mode shift strategies for a two-mode
hybrid powertrain with fixed gears,” SAE paper 2008-01-0307, 2008.
[8] G. Tamai, S. Reeves, T.H. Grewe, “Truck utility & functionality in the
GM 2-mode hybrid,” SAE paper 2010-01-0826, 2010.
[9] F.U. Syed, M.L. Kuang, J. Czubay, et al., “Derivation and experimental
validation of a power-split hybrid electric vehicle model,” IEEE Trans. on
Vehicular Technology, 55, 1731-1747, 2006.
[10] Y. Gao, M. Ehsani, “A torque and speed coupling hybrid drivetrain -
architecture, control, and simulation,” IEEE Trans. on Power Electronics,
21, 741-748, 2006.
[11] C. Lin, Z. Filipi, Y. Wang, L. Louca, H. Peng, D. Assanis, J. Stein,
“Integrated feed-forward hybrid electric vehicle simulation in
SIMULINK and its use for power management studies,” SAE Paper
2001-01-1334, 2001.
[12] C. Lin, H. Peng, J.W. Grizzle, J. Liu, M. Busdiecker, “Control system
development for an advanced-technology medium-duty hybrid electric
truck,” SAE Paper 2001-01-3369, 2001.
[13] C. Lin, “ Modeling and control strategy development for hybrid vehicles,”
Dissertation, P.H.D., University of Michigan, 2004.
[14] A. Piccolo, L. Ippolito, V. Galdi, A. Vaccaro, “Optimization of energy
flow management in hybrid electric vehicles via genetic algorithms,”
Proceedings of 2001 IEEE/ASME International Conference on Advanced
Intelligent Mechatronics, Como, Italy 2001.
[15] N. Schouten, M. Salman, N. Kheir, “Fuzzy logic control for parallel
hybrid vehicles,” IEEE Transactions on Control Systems Technology,
10(3), 460-468, 2002.
[16] F.R. Salmasi, “Control strategies for hybrid electric vehicles: evolution,
classification, comparison, and future trends,” IEEE Trans. on Vehicular
Technology, 2393-2404, 2007.