ABSTRACT
This
paper describes a driving motor torque distribution
strategy of six-wheel-driven electric vehicles for optimized
energy consumption. In this research, this strategy minimizes
motoring power consumption and maximizes regenerative
braking power under given required power condition. The
torque distribution controller consists of total required motor
torque calculation part, upper and optimal torque calculation
part, lower level controller. The upper level controller
determines total required torque of vehicle. And the torque is
determined by acceleration pedal input of driver and vehicle
velocity. The lower level controller calculates energy
consumption in given condition and distributes motor torque
to driving motor minimizing energy consumption. In
distributing optimal motor torque, it is important to get
accurate characteristics of driving motor and performance
constraint. Motor efficiency is determined by motor speed
and operating torque and maximum torque is a function of
motor speed. The proposed motor torque distribution strategy
has been evaluated via computer simulation of energy
consumption for representative driving mode.
INTRODUCTION
In
the last few years, the research and development of motor
driven vehicles equipped with drive systems that generate the
driving torque with motors, have been undertaken actively
due to increasing interest in energy and environmental issues.
Several types of drive system have been proposed for the
motor driven vehicles. For instance, a front-or rear-wheel-
driven system with two in-wheel motors is proposed. And afour-wheel-driven system with independently driven front,
rear
motors or four in-wheel motors for passenger vehicle and
a six-wheel-driven (6WD) system with independently driven
each driving motor is proposed for combat vehicle. In this
paper, as a part of vehicle driving torque control for the motor
driven vehicles, the driving motor control strategy for
improved vehicle energy economy is investigated.
This paper describes a driving motor torque distribution
strategy for 6WD Electric Vehicles(EV) equipped with in-
wheel motors in order to improve vehicle energy efficiency.
Several studies have investigated the modeling of EV and
driving motor torque distribution strategy for improved
energy economy of vehicle. H. Shimizu.(1997) designed and
modeled electric vehicle[ 1]. Y.Hori(2004) proposed vehicle
driven by four-wheel-motor [ 2]. N. Mutoh and H.
Yahagi(2005) developed control methods for EV with
independently driven front and rear wheel structures [ 3].
H.Yeo(2004)
proposed regenerative braking algorithm [ 4].
However,
since a 6WD electric vehicle is equipped with six
independent motors, a driving motor control strategy for the
six in-wheel motors is required. Numerical simulation studies
are conducted using MATLAB/Simulink vehicle model
without transmission model for the 6WD EV in order to
evaluate the proposed strategy. From the simulation results, it
can be found that the proposed strategy improves energy
efficiency of the vehicle.
VEHICLE MODELING
A
driving motor torque distribution strategy is developed to
improve energy economy of 6WD electric vehicle. The 6WD
Development of a Motor Torque Distribution
Strategy of Six-wheel-Driven Electric Vehicles for
Optimized Energy Consumption2013-01-1746
Published
04/08/2013
Seungjae Yun and Kyongsu Yi
Seoul National Univ
Seyoung Cheon
and Yeogiel Yoon
Samsung Techwin
Copyright © 2013 SAE International
doi:10.4271/2013-01-1746Downloaded from SAE International by University of Minnesota, Monday, July 30, 2018EV is composed of In-wheel motors, battery and inverter.
The
6WD EV is driven by six In-wheel motors that provide
independent wheel drives as well as regenerative braking
capabilities. Since required energy cannot be generated by
powertrain of vehicle, battery should be equipped in order to
provide vehicle with electric energy. Figure 1 shows that
powertrain
of 6WD EV structure. Six independent in-whee
SAE_2013-01-1746_Development of a Motor Torque Distribution Strategy of Six-wheel-Driven Electric Vehicles for Optimized Energy Consumption
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