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Contemporary Engineering Sciences, Vol. 7, 2014, no. 22, 1155 - 1162
HIKARI Ltd, www.m-hikari.com http://dx.doi.org/10.12988/ces.2014.49144
Study on the Power Control Algorithm
Using the Gradient Method
Gyoung-eun Kim
Graduate School of Electrical Engineering
University of Ulsan, 93 Daehak-ro, Ulsan
Republic of Korea
Jae-woo Yoon
Graduate School of Electrical Engineering
University of Ulsan, 93 Daehak-ro
Ulsan, Republic of Korea
Byeong-woo Kim
School of Electrical Engineering
University of Ulsan, 93 Daehak-ro
Ulsan, Republic of Korea
Copyright © 2014 Gyoung-eun Kim, Jae-woo Yoon and Byeong-woo Kim. This is an open
access article distributed under the Creative Commons Attribution License, which permits
unrestricted use, distribution, and reproduction in any medium, provided the original work is
properly cited.
Abstract
This paper presents a power control algorithm that will make it possible to apply
a torque assist system (TAS) without reconfiguring the structure of an internal
combustion engine (ICE) vehicle. Several optimal control ideas for hybrid electric
vehicles (HEVs) have been proposed in the literature. In this study, the algorithm
implements a gradient optimization technique. This suggested algorithm considers
the states of the motor starter generator (MSG) and energy storage, as well as the
maximum efficiency of the engine. To optimize the engine efficiency under
various driving conditions, the algorithm considers the driver’s demand outputs. It
will be utilized for optimization based on TAS.
1156 Gyoung-eun Kim, Jae-woo Yoon and Byeong-woo Kim
The use of the proposed algorithm will contribute to the research in this field by
controlling the performance of the engine and MSG at efficient operating points to
match the driver’s demand outputs.
Keywords: Hybrid vehicle, Torque assist system (TAS), Optimal control theory,
Gradient method
1 Introduction
Recently, investments and support have greatly increased in the automobile
industry for the production of highly efficient and environmentally friendly
automobiles due to the depletion of fossil fuels and stricter environmental
regulations [1]. Furthermore, studies are actively progressing on hybrid vehicles
that can achieve high energy efficiency while reducing the load of internal
combustion engines (ICEs) by installing a motor, which is an electric energy
power source, in a conventional system [2]. To obtain excellent energy efficiency,
the performance of the system itself is important, but it is also critical to optimize
the operation performance of the configured system.
Conventional studies have been conducted to increase fuel efficiency by
considering only the state of the electric power source and energy storage devices
of hybrid vehicles [3] [4]. Therefore, further studies are required for a power
distribution control that considers the state of the whole power source as well as
the electric power source and energy storage device.
In this paper, a gradient method, an optimal control theory, is proposed as a
power control method that considers the efficiency and torque of the power source
of an entire hybrid system.
2 Power Control of Torque Assist System
A torque assistance system (TAS) is an optimal torque assistance system that
can assist vehicle engine loads based on a high power density type of motor starter
generator (MSG) in place of a conventional ISA [5]. Fig. 1 shows the system
configuration for the power distribution control that considers the state of the
entire power source. To satisfy the required torque depending on the driver and
driving circumstances, the torque distribution control signal is input to the engine
and motor. Accordingly, a power control algorithm for the vehicle was
constructed for optimal torque assistance; this algorithm can improve fuel
efficiency and increase functionality by adding the torque of the motor to that of
the engine.
Study on the power control algorithm 1157
Fig. 1. Schematic diagram of a power control algorithm based on the TAS
2.1 Efficiency and Torque of Power Source
To apply the power control algorithm that considers the power source of the
entire hybrid system, information is needed for the required torque, depending on
the driver and driving circumstances. When the required torque is specified,
maximum efficiency must be considered. Therefore, an efficiency map is
necessary for the torque demanded by a driver. The efficiency equations for the
engine and motor can be obtained through the calculation process shown below.
The efficiency of engine can be obtained by using brake specific fuel
consumption (BSFC), which measures fuel efficiency, as shown in equation (1)
[6]. Here, the lower heating value (LHV) of a gasoline engine is assumed to be
0.0122225. In equation (2), r is the fuel consumption rate [g/s] and P is the
produced power; P , which is the multiplication of engine speed [rad/s]
and engine torque [Nm].
The efficiency of the motor is calculated by the power of the motor and
electric power loss, as shown in equation (3) [7]. Furthermore, the efficiency of
the motor is determined by the operating torque and rotation speed, like those of
the engine.
)/( LHVBSFCengine 1
(1)
PrBSFC / (2)
100
lossMSG
MSGMSG
WP
P
(3)
0
1
0
MSGMSGMSGMSGMSG
MSGMSGMSGMSGMSG
MSG TifT
TifT
P
(4)
1158 Gyoung-eun Kim, Jae-woo Yoon and Byeong-woo Kim
In the power source control strategy algorithm, the required power of the
vehicle is determined by the pedal input from the driver. The final power of the
engine, depending on the required power, is determined by the assistance power
of the MSG, which considers the maximum efficiency of the engine. For the
required power of the vehicle depending on the pedal input of the driver, the
engine’s torque map was used based on a conventional ICE. The efficiency and
torque maps of the core power source for the TAS system, depending on vehicle
speed, are shown in Figs. 2–4.
Fig. 2. Efficiency map of the engine
Study on the power control algorithm 1159
Fig. 3. Torque map of the engine
Fig. 4. Efficiency and torque map of the motor
1160 Gyoung-eun Kim, Jae-woo Yoon and Byeong-woo Kim
2.2 Optimal Control Algorithm
To determine the maximum efficiency point of the engine, a gradient method,
which is an optimal theory, was used [8] [9]. This method determines the most
optimized point, i.e., the maximum point, by repeatedly finding the direction of
the gradient dropping most radically from the current position, then finding a new
location by moving in that direction. Fig. 5 shows the gradient method.
As shown in Fig. 6, assuming that the efficiencies of the engine depending
on the vehicle speed and driver’s required power are constant values, kc (k = 0,
1 , 2,… ), several level sets can be obtained by connecting the corresponding
values. The maximum value for the efficiency function of the engine is found by
repeating equation (5) for obtaining the level set for the engine efficiency value
depending on the driving state of the vehicle.
,,)( )()()( 2111 kxftxx kk
kk (5)
(a) Typical sequence level set (b) Engine efficiency level set
Fig. 5. Typical sequence resulting from the gradient method
Fig. 6. Constructing level set corresponding to level ck (k = 0, 1 , 2,… ) for engine efficiency function f
Study on the power control algorithm 1161
Fig. 7. Required power based on engine and the maximum engine efficiency
Once the required torque is determined depending on the required speed of
the driver, the maximum efficiency of the engine for the required torque can be
obtained through the maximum efficiency point of the engine by using the
gradient method. Fig. 7 shows the result. Once the maximum efficiency point is
determined for the required torque in the entire power system, MSG assists the
torque within the proper efficiency range to allow the engine’s efficiency to reach
its maximum point. In this way, the gradient method, which is an optimal control
theory, can be applied as a torque power control method for an entire power
system depending on the driving state.
3 Conclusion In this study, we proposed a power control method to apply TAS without
modifying the structure of conventional ICE vehicles. Through the power control
algorithm that considers the efficiencies of two power sources, we proposed a
power torque distribution algorithm for an entire vehicle. The gradient method
was used to determine the maximum efficiency of the engine depending on the
driving state of the vehicle. If the control method proposed in this study is used,
the engine and electric power source can be controlled and operated at their
efficient operation points according to the required power of the driver. The
proposed method is expected to contribute to studies on hybrid power controls
that consider a vehicle’s overall efficiency. In a future study, we plan to analyze
1162 Gyoung-eun Kim, Jae-woo Yoon and Byeong-woo Kim
the overall efficiency and fuel efficiency of vehicles in various driving
environments.
Acknowledgements. Foundation item: This research was supported by the MSIP
(Ministry of Science, ICT&Future Planning), Korea, under the C-ITRC
(Convergence Information Technology Research Center) support program
(NIPA-2013-H0401-13-1008) supervised by the NIPA (National IT Industry
Promotion Agency).
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Received: August 11, 2014