Explicit Fuel Optimal Speed Profiles for Heavy Trucks on a Set of Topographic Road Profiles

Fröberg, Anders; Hellström, Erik; Nielsen, Lars

doi:10.4271/2006-01-1071

Cited by 42 publications

(30 citation statements)

References 8 publications

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“…A dynamic programming approach is taken in Monastyrsky and Golownykh (1993) to obtain solutions for a number of driving scenarios on shorter road sections. Inspired of some of the results indicated in these and other works it was shown in Chang and Morlok (2005); Fröberg et al (2006) with varying vehicle model complexity, that constant speed is optimal on a constant road slope within certain bounds on the slope. The result relies on that there is an affine relation between the fuel consumption and the produced work.…”

Section: Introductionmentioning

confidence: 99%

Look-ahead control for heavy trucks to minimize trip time and fuel consumption

Hellström

Ivarsson

Åslund

et al. 2009

Control Engineering Practice

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409

212

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The scenario studied is a drive mission for a heavy diesel truck. With aid of an on board road slope database in combination with a GPS unit, information about the road geometry ahead is extracted. This look-ahead information is used in an optimization of the velocity trajectory with respect to a criterion formulation that weighs trip time and fuel consumption. A dynamic programming algorithm is devised and used in a predictive control scheme by constantly feeding the conventional cruise controller with new set points. The algorithm is evaluated with a real truck on a highway, and the experimental results show that the fuel consumption can be significantly reduced.

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Section: Introductionmentioning

confidence: 99%

Look-ahead control for heavy trucks to minimize trip time and fuel consumption

Hellström

Ivarsson

Åslund

et al. 2009

Control Engineering Practice

Self Cite

409

212

View full text Add to dashboard Cite

show abstract

“…For optimization, economical strategy for a heavy truck is conducted by finding how to drive a truck over various road topographies. While the results show that the optimal solution is to keep constant speed for level road and in small gradients [11], Delgado et al got the results which show that the use of average velocity and average positive acceleration was suitable for the translation of fuel consumption [12].…”

Section: Instructionmentioning

confidence: 99%

Optimizing Gear Shifting Strategy for Off-Road Vehicle with Dynamic Programming

Zhao

Zhang

Feng

et al. 2014

Mathematical Problems in Engineering

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Gear shifting strategy of vehicle is important aid for the acquisition of dynamic performance and high economy. A dynamic programming (DP) algorithm is used to optimize the gear shifting schedule for off-road vehicle by using an objective function that weighs fuel use and trip time. The optimization is accomplished through discrete dynamic programming and a trade-off between trip time and fuel consumption is analyzed. By using concave and convex surface road as road profile, an optimal gear shifting strategy is used to control the longitudinal behavior of the vehicle. Simulation results show that the trip time can be reduced by powerful gear shifting strategy and fuel consumption can achieve high economy with economical gear shifting strategy in different initial conditions and route cases.

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“…In the early 1970s, Schwarzkopf [2], from the University of Oklahoma, regarded the best fuel consumption as a cost function and derived the analytical solutions for some simple situations. David [3] (University of Pennsylvania, Philadelphia, PA, USA), Fröberg [4] (Linkoping University, Linköping, Sweden) and He Chaozhe [5] (University of Michigan, Ann Arbor, Michigan) adopted a linear fuel consumption model and concluded that keeping constant speed is the best strategy for small road slopes. He Chaozhe systematically derived the bang-bang or bang-arc-bang control laws with PMP.…”

Section: Introductionmentioning

confidence: 99%

Method for Switching between Traction and Brake Control for Speed Profile Optimization in Mountainous Situations

2018

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Making full use of front road grade information to achieve the best fuel efficiency is important for intelligent vehicles. Normal theoretical studies pay too much attention to engine continuous feedback control. The theoretical foundation of switching between traction and brake control has been ignored. In mountainous terrain, both the engine and road slopes are energy sources. Switching between traction and brake control is the key point. This research focuses on broadening the normal control range. The comprehensive objective function that contains traction and brake control is built, and then the analytical switching control law is derived based on Pontryagin's maximum principle (PMP). Analytical switching control laws express the mechanism of switching between traction and brake control for economic cruise control (ECC). Simulation results show that the model can solve the switch time and the entire speed profile precisely. Brake control is very important in downhill situations. The parameters in the objective function influence not only the switch time but also the switch process. This research offers a theoretical foundation for ECC with road slopes and can make onboard control more precise and efficient.

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Explicit Fuel Optimal Speed Profiles for Heavy Trucks on a Set of Topographic Road Profiles

Cited by 42 publications

References 8 publications

Look-ahead control for heavy trucks to minimize trip time and fuel consumption

Look-ahead control for heavy trucks to minimize trip time and fuel consumption

Optimizing Gear Shifting Strategy for Off-Road Vehicle with Dynamic Programming

Method for Switching between Traction and Brake Control for Speed Profile Optimization in Mountainous Situations

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