Abstract
For the purpose of reducing fuel consumption, a hybrid heavy
duty truck was considered. Generally, HV (Hybrid Vehicle)'s
energy is regenerated from deceleration energy in urban area.
Hybrid heavy duty truck's energy is regenerated from potential energy on highway. Under this circumstance, some portion of
energy may not be accumulated, because capacity of HV
battery is limited. In order to maximize accumulating energy in the next descent, HV battery's energy shall be adequately
reduced beforehand. This can be achieved by optimizing motor
assist torque considering road's altitude and gradient. In this paper, performance of the algorithm is discussed.
1. Introduction
To reduce fuel consumption, more precisely, maximizing HV system's performance, an HV system for heavy duty trucks
was assessed( 1). Previously, in order to reduce fuel
consumption for conventional heavy duty truck, cooperating
with GPS(2) and optimized cruise control system was
proposed( 3). It controls engine torque; and choosing suitable
gear which is based on road gradient. However, hybrid heavy
duty truck has different problem, which is required big size
battery capacity to accumulate all of the available energy.
Therefore, it is difficult to use previous algorithm for hybrid heavy duty truck.
In addition, in systems for passenger vehicles and light duty
trucks, which operate primarily in urban areas, energy is mainly
regenerated through deceleration. Conversely, in heavy duty
trucks which primarily drive long distances on highways, energy is mainly regenerated through highway descents. This
requires developing a control algorithm from a different
standpoint than for passenger vehicles.Current control algorithm faced the issue that, due to battery capacity limitations, some of the energy accumulated in long
descents is lost. Focusing on that point this research
developed control algorithm that enhanced energy efficiency by anticipating road altitude and gradient and applying
appropriate motor assist in climbs, thereby maximize battery
depletion and increasing the amount of energy that can be accumulated in the subsequent descent. This paper reports on
the observed effects.
2. HV Systems for Heavy Duty Trucks
2.1. Approaches to Energy Regeneration
Systems for passenger vehicles and light duty trucks, which
operate primarily in urban areas, accumulate energy during
deceleration and use it to provide some of the required torque
at motor start or during acceleration, thereby reducing fuel consumption.
By contrast, heavy duty trucks, which primarily drive long
distances on highways, decelerate less frequently than
passenger vehicles, reducing the quantity of accumulated
energy. In highway descents with steep gradients, maintaining a stable speed becomes difficult and drivers make use of the
engine brake and retarder to keep vehicle speed stable. This
causes the kinetic energy of the truck to be lost as thermal energy. If that energy can be accumulated, temporarily stored
in the battery as electrical energy, and used by the motor to
assist in providing torque during climbs, reducing fuel consumption is possible.
2.2. Structure of the System
Figure 1 shows the diagram of the system built for this research. The motor is set behind the transmission, on the
same axis as the propeller shaft. By doing so motor speed
becomes independent of engine speed or transmission gear Development of Road's Gradient Anticipatory Algorithm
for Hybrid Heavy Duty Truck2014-01-2377
Published 09/30/2014
Hiroyuki Ishizaka
Hino Motors, Ltd.
Kazuo Tanaka, Motoyasu Tanaka, and Yusuke Tanaka
The University of Electro-Communications
CITATION: Ishizaka, H., Tanaka, K., Tanaka, M., and Tanaka, Y., "Development of Road's Gradient Anticipatory Algorithm
for Hybrid Heavy Duty Truck," SAE Technical Paper 2014-01-2377, 2014, doi:10.4271/2014-01-2377.
Copyright © 2014 SAE InternationalDownloaded from SAE International by Birmingham City Univ, Tuesday, August
SAE_2014-01-2377_Development of Road's Gradient Anticipatory Algorithm for Hybrid Heavy Duty Truck
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