2442 IEEE TRANSACTIONS ON VEHICULAR TECHNOLOGY, VOL. 61, NO. 6, JULY 2012
Topology Optimization for Hybrid Electric
Vehicles With Automated Transmissions
Theo Hofman, Søren Ebbesen, and Lino Guzzella, Senior Member, IEEE
Abstract—Currently, many different topologies are designed
with different transmission technologies such as automated man-
ual transmission (AMT) and continuously variable transmission
(CVT). The choice of topology determines the energy-flow effi-
ciency between the hybrid system, the engine, and the vehicle
wheels. The optimal topology minimizing fuel consumption is
influenced by the transmission technology. Therefore, an AMT
(high efficiency) and a push-belt CVT (moderate efficiency), are
used in this research for comparison. In addition, a controlled
switching topology is introduced as a benchmark, where controlled
coupling with additional clutches of the electric machine before
or after the transmission minimizing transmission losses and im-
proving hybrid performance is investigated. The results showed
that a switching topology can significantly improve CO
2
emission
reduction (average relative improvements between 2% and 7%),
particularly for CVT-based hybrid vehicles. Moreover, in case of
an AMT, a precoupled topology is preferable, and in the case of a
CVT, a postcoupled is preferable for full-hybrid vehicles. For these
cases, selecting the optimal fixed topology can improve the relative
CO
2
emission reduction between 2% and 8%.
Index Terms—Dynamic programming (DP), energy manage-
ment, fuel optimal control, modeling, optimization, road vehicle
propulsion, topology, transmission.
I. I NTRODUCTION
D
ESIGNING a hybrid electric drivetrain for a vehicle is a
complex task. This multidomain design problem includes
finding optimal component sizes, component technology, topol-
ogy, and control design [1]. Moreover, all areas of this non-
convex nonlinear design problem (see, e.g., [2]) are interlinked
and often require a multiobjective design solution, e.g., min-
imization of production cost while maximizing measures of
environmental and dynamic performance such as CO
2
emission
reduction, vehicle acceleration, comfort, and driveability.
Many different and new hybrid (electric and mechanical)
drivetrain topologies are developed and introduced into the
market [3]. A topology is largely defined by the position of
the electric machine(s) in the drivetrain, where it may be either
pre- or postcoupled to the transmission. In addition, different
Manuscript received September 5, 2011; revised January 2, 2012 and
February 26, 2012; accepted March 30, 2012. Date of publication April 25,
2012; date of current version July 10, 2012. The review of this paper was
coordinated by Dr. C. C. Mi.
T. Hofman is with the Control Systems Technology Group, Department
of Mechanical Engineering, Eindhoven University of Technology, 5600 MB
Eindhoven, The Netherlands (e-mail: t.hofman@tue.nl).
S. Ebbesen and L. Guzzella are with the Institute of Dynamic Systems
and Control, Department of Mechanical and Process Engineering, Swiss Fed-
eral Institute of Technology, 8092 Zurich, Switzerland (e-mail: sebbesen@
idsc.mavt.ethz.ch; lguzzella@ethz.ch).
Color versions of one or more of the figures in this paper are available online
at http://ieeexplore.ieee.org.
Digital Object Identifier 10.1109/TVT.2012.2196299
types of transmission technologies are used. For example, the
Mercedes S400 Hybrid uses a seven-speed automated trans-
mission (7-AT) in combination with a precoupled electric ma-
chine (160-N · m/15-kW) and two clutches [4], and the Honda
Civic IMA uses a push-belt continuously variable transmission
(CVT) also in combination with a precoupled electric machine
(103-N · m/15-kW) yet with a single clutch. In contrast, the
Toyota Prius uses an electrical CVT (e-CVT) consisting of two
electric machines (30-kW/50-kW) with a planetary gear set [5].
The electric machine at the wheel side (50-kW) is used for
electric driving and braking while the engine is off [6]. Since the
largest part of the total fuel-saving potential is obtained using
these modes (together with engine start/stop at vehicle stand-
still), this topology can be seen as a fixed topology, where the
electric machine is primarily postcoupled to the transmission.
Recently, a new demonstrator vehicle was realized with the
electric machine (15-kW) fixed coupled at the posttransmission
side in combination with a push-belt CVT realizing fuel savings
between 8% and 10% on the New European Driving Cycle
(NEDC), compared with the precoupled topology [7].
In this paper, we investigate and compare the potential of
three different full-parallel hybrid electric drivetrain topologies:
the first topology has a precoupled electric machine, i.e., the
location of electric machine is fixed between the engine and
the transmission; the second topology has a postcoupled elec-
tric machine, i.e., the electric machine is fixed between the
transmission and the differential. The third topology allows the
energy management system to select the location of the electric
machine between pre- and postcoupling, using an appropriate
system of clutches. In addition, to have a fair comparison
between the different topologies with the maximum potential,
we investigate the influence of the choice of topology on the
optimal sizing of the electric machine and engine. Moreover,
two different transmission technologies are considered, i.e., a
six-speed automated manual transmission (AMT) and a push-
belt CVT.
The potential of each topology is quantified in terms of CO
2
(in grams per kilometers) emissions. Dynamic programming
(DP), in combination with prescribed drive cycles, is used to
compute the minimum CO
2
emissions of each vehicle con-
figuration. This way, the influence of the energy management
strategy is removed from the investigation.
This paper is organized as follows. In Section II, the three dif-
ferent topologies are conceptually presented. In Section III, the
topologies are mathematically modeled, where the kinematic
constraints are also explained. The model-scaling methods for
the main components are explained in Section IV. In Section V,
the optimal control problem is formalized, and in Section VI,
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