Research and Development of Heavy-Duty Truck Fueled With DME~Development and Performance of a DME Engine

2005 ◽  
Author(s):  
Yoshio Sato ◽  
Seang-wock Lee ◽  
Toshimitsu Takayanagi ◽  
Hisakazu Suzuki ◽  
Akira Nakamura ◽  
...  
Keyword(s):  
Research And Development ◽  
Heavy Duty ◽  
Heavy Duty Truck ◽  
And Performance

Design and Performance Analysis of a Cascaded Model Predictive Controller and Command Governor for Fuel-Efficient Control of Heavy-Duty Trucks

2021 ◽  
Vol 143 (6) ◽  
Author(s):  
Ben Groelke ◽  
John Borek ◽  
Christian Earnhardt ◽  
Chris Vermillion
Keyword(s):  
Control Strategy ◽  
Heavy Duty ◽  
Model Predictive Controller ◽  
Fuel Savings ◽  
Heavy Duty Truck ◽  
Simulink Model ◽  
Car Following Model ◽  
Cascaded Model ◽  
Predictive Controller ◽  
And Performance

Abstract This paper presents the design and analysis of a predictive ecological control strategy for a heavy-duty truck that achieves substantial fuel savings while maintaining safe following distances in the presence of traffic. The hallmark of the proposed algorithm is the fusion of a long-horizon economic model predictive controller (MPC) for ecological driving with a command governor (CG) for safe vehicle following. The performance of the proposed control strategy was evaluated in simulation using a proprietary medium-fidelity Simulink model of a heavy-duty truck. Results show that the strategy yields substantial fuel economy improvements over a baseline, the extent of which are heavily dependent on the horizon length of the CG. The best fuel and vehicle-following performance are achieved when the CG horizon has a length of 20–40 s, reducing fuel consumption by 4–6% when compared to a Gipps car-following model.

LEARNING: KEY TO LEVERAGING THE VALUE OF A FRANCHISE

1994 ◽  
Vol 01 (03n04) ◽  
pp. 367-382 ◽  
Author(s):  
PHILLIP H PHAN ◽  
JOHN E BUTLER ◽  
SOO HOON LEE
Keyword(s):  
Organizational Learning ◽  
Learning Process ◽  
Heavy Duty ◽  
Learning Dynamics ◽  
Contractual Arrangement ◽  
Heavy Duty Truck ◽  
Different Types ◽  
Primary Focus ◽  
And Performance ◽  
The Relationship

The organizational learning dynamics inherent in the franchise relationship provide the primary focus for this research. By encoding knowledge of the skills needed to suceed within the contractual arrangement, the franchisor can short cut the learning process for the franchisee. Once the franchising arrangement is established, both franchisees and franchisors have vested interest in maintaining high levels of organizational learning. In this research a model is presented that incorporates these learning dynamics, and relates them to entrepreneurial returns. Using a sample of heavy-duty truck franchisees, the relationship between different types of organizational learning and performance are explored. The results indicate that the franchising contract may actually act to limit the returns to the franchise relationship. Instead, it may encourage the franchisee to direct their learning efforts to skew returns in their favor. Successful franchisees were found to systematically value the franchise contractual and non-contractual information content more than less successful franchisees.

Heavy-Duty Truck: Inverse Dynamics and Performance Control

2007 ◽  
Author(s):  
V. V. Vantsevich ◽  
A. D. Zakrevskij ◽  
S. V. Kharytonchyk
Keyword(s):  
Inverse Dynamics ◽  
Integrated Control ◽  
Fuel Efficiency ◽  
Rolling Resistance ◽  
Heavy Duty ◽  
Math Model ◽  
The Road ◽  
Heavy Duty Truck ◽  
And Performance ◽  
Multi Body

Inverse dynamics approach has been developed to optimize a highway, heavy-duty truck vehicle dynamics and performance. Using the developed approach, a math model of the multi-body truck system was developed to optimize power distributions to the drive wheels in probabilistic road conditions including macro- and micro-profiles of the road, distributions of the friction coefficient and rolling resistance. The optimization of wheel power distributions was treated as a multi-criterion problem to provide the truck with required energy/fuel efficiency, traction and velocity operational properties, turnability, stability of motion, and handling. Criteria of the listed truck operational properties were organized in a computer algorithm and computer simulations were implemented. Based on optimal combinations of wheel power distributions, an algorithm for integrated control of driveline power dividing units, wheel brakes and fuel feeding was developed.

Event-triggered control for hybrid power supply of fuel-cell heavy-duty truck

2021 ◽  
Vol 41 ◽  
pp. 102985
Author(s):  
Beichen Ding ◽  
Benfei Wang ◽  
Ronghui Zhang
Keyword(s):  
Fuel Cell ◽  
Power Supply ◽  
Heavy Duty ◽  
Hybrid Power ◽  
Heavy Duty Truck ◽  
Event Triggered

Simulation study on e-diffential function for dual motor hybrid heavy duty truck

2021 ◽  
Author(s):  
Hao Sun ◽  
Jianlin Wei ◽  
Qingbo Liu ◽  
Dechun Liu ◽  
Yuanze Lin
Keyword(s):  
Simulation Study ◽  
Heavy Duty ◽  
Heavy Duty Truck

Improvement of robustness of adaptive control in path following control of heavy-duty truck

2020 ◽  
Vol 2020 (0) ◽  
pp. J18107
Author(s):  
Tomoya ICHIHARA ◽  
Taichi SOENO ◽  
Toshiyuki SUGIMACHI ◽  
Toshiaki SAKURAI ◽  
Tetsuo MAKI
Keyword(s):  
Adaptive Control ◽  
Path Following ◽  
Heavy Duty ◽  
Heavy Duty Truck ◽  
Path Following Control
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