Design of an efficient algorithm for fuel-optimal look-ahead control

Hellström, Erik; Åslund, Jan; Nielsen, Lars

doi:10.1016/j.conengprac.2009.12.008

Cited by 198 publications

(116 citation statements)

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“…The idea of eco-driving is to determine the velocity trajectory that minimizes the vehicle energy consumption under final time and distance constraints. This question can be formulated as an Optimal Control Problem (OCP) as in (Petit and Sciarretta, 2011;Monastyrsky and Golownykh, 1993;Ozatay et al, 2014;Hellstrom et al, 2010). The ecodriving problem was addressed for conventional vehicles in (F. Mensing, 2013;Sciarretta et al, 2015), for electric cars in (Dib et al, 2014;Petit and Sciarretta, 2011;F.…”

Section: Introductionmentioning

confidence: 99%

“…The ecodriving problem was addressed for conventional vehicles in (F. Mensing, 2013;Sciarretta et al, 2015), for electric cars in (Dib et al, 2014;Petit and Sciarretta, 2011;F. Mensing, 2013;Sciarretta et al, 2015;Miyatake et al, 2011) and for hybrid electric cars in (F. Mensing, 2013;Bouvier et al, 2015;Kim et al, 2011b;Hellstrom et al, 2010;Sciarretta et al, 2015;van Keulen et al, 2010).…”

Section: Introductionmentioning

confidence: 99%

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Optimal eco-driving for conventional vehicles: Simulation and experiment

Maamria¹,

Gillet²,

Colin³

et al. 2017

IFAC-PapersOnLine

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In this paper, the problem of eco-driving for a conventional vehicle equipped with an internal combustion engine is studied. The associated optimal control problem is formulated and solved using Dynamic Programming (DP). The impact of the mesh choice on the optimality of the DP solution is investigated in order to find a trade-off between the optimality of the DP solution and its computation time. The eco-driving speed trajectories obtained were tested on a high-frequency HIL (Hardware-In-theLoop) engine test bench to quantify the real reductions in fuel consumption. Simulations and experiments are compared.

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Section: Introductionmentioning

confidence: 99%

Section: Introductionmentioning

confidence: 99%

Optimal eco-driving for conventional vehicles: Simulation and experiment

Maamria¹,

Gillet²,

Colin³

et al. 2017

IFAC-PapersOnLine

View full text Add to dashboard Cite

show abstract

“…Because of the extremely transient operation, the benefits of utilizing the prediction in the controller can be expected to become high. Look-ahead control for on-road vehicles has been implemented [10][11][12]. In the wheel loader application, the potential benefit has been explored [13], but so far there has been no implemented look-ahead controller for wheel loaders.…”

Section: Cvt Control In a Wheel Loadermentioning

confidence: 99%

Development of Look-Ahead Controller Concepts for a Wheel Loader Application

Nilsson

Fröberg

Åslund

2014

Oil Gas Sci. Technol. – Rev. IFP Energies nouvelles

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-This paper presents two conceptual methods, based on dynamic programming, for onestep look-ahead control of a Continuously Variable Transmission (CVT) in a wheel loader. The first method developed, designated Stochastic Dynamic Programming (SDP), uses a statistical load prediction and stochastic dynamic programming for minimizing fuel use. The second method developed, designated Free-Time Dynamic Programming (FTDP), has vehicle speed as a state and introduces a fixed 0:1 s delay in the bucket controls in a combined minimization of fuel and time. The methods are evaluated using a set of 34 measured loading cycles, used in a 'leave one out' manner. The evaluation shows that the SDP method requires about 1=10th of the computational effort of FTDP and has a more transparent impact of differences in the cycle prediction. The FTDP method, on the other hand, shows a 10% lower fuel consumption, which is close to the actual optimum, at the same cycle times, and is able to complete a much larger part of the evaluation cycles.Re´sume´-De´veloppement de concepts d'une commande pre´dictive, destine´e a`une application pour chargeur sur pneus -Ce document pre´sente deux me´thodes de conception, base´es sur la programmation dynamique, pour la commande a`un pas de pre´diction d'une transmission continuˆment variable (Continuously Variable Transmission, CVT) d'un chargeur sur pneus. La premie`re me´thode de´veloppe´e, appele´e programmation dynamique stochastique (Stochastic Dynamic Programming, SDP) utilise une pre´diction statistique de la charge et la programmation dynamique stochastique pour minimiser l'utilisation de carburant. La seconde me´thode de´veloppe´e, appele´e programmation dynamique a`temps libre (Free-Time Dynamic Programming, FTDP), e´tablit la vitesse du ve´hicule en tant qu'e´tat et introduit un retard de 0,1 s dans les commandes du godet pour minimiser a`la fois l'utilisation de carburant et le temps ne´cessaire a`l'ope´ration. Les me´thodes sont e´value´es en s'appuyant sur 34 cycles de chargement mesure´s, utilise´s selon la me´thode de validation croise´e « leave-one-out ». L'e´valuation montre que la me´thode SDP requiert environ 1 dixie`me de l'effort de calcul de la me´thode FTDP, et qu'elle a un impact plus transparent sur les e´carts dans la pre´diction du cycle. D'un autre coˆte´, avec la me´thode FTDP on obtient une re´duction de 10 % de la consommation de carburant, ce qui est proche de l'optimum re´el, pour les meˆmes dure´es de cycle, et elle permet de re´aliser une plus grande partie des cycles d'e´valuation.

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“…There are plentiful publications on this topic using different optimization approaches, e.g., dynamic programming [3,17,18], convex optimization [13], Pontryagin's minimum principle [19] and equivalent fuel consumption minimization strategy [20]. These have been applied to achieve fuel optimal driving in conventional cars and trucks [21], fuelcell cars [8] and electric cars [7].…”

Section: Introductionmentioning

confidence: 99%

The Optimal Road Grade Design for Minimizing Ground Vehicle Energy Consumption

Liu

Feng

2017

Energies

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Abstract:Reducing energy consumption of ground vehicles is a paramount pursuit in academia and industry. Even though the road infrastructural has a significant influence on vehicular fuel consumption, the majority of the R&D efforts are dedicated to improving vehicles. Little investigation has been made in the optimal design of the road infrastructure to minimize the total fuel consumption of all vehicles running on it. This paper focuses on this overlooked design problem and the design parameters of the optimal road infrastructure is the profile of road grade angle between two fixed points. We assume that all vehicles on the road follow a given acceleration profile between the two given points. The mean value of the energy consumptions of all vehicles running on the road is defined as the objective function. The optimization problem is solved both analytically by Pontryagin's minimum principle and numerically by dynamic programming. The two solutions agree well. A large number of Monte Carlo simulations show that the vehicles driving on the road with the optimal road grade consume up to 31.7% less energy than on a flat road. Finally, a rough cost analysis justifies the economic advantage of building the optimal road profile.

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Design of an efficient algorithm for fuel-optimal look-ahead control

Abstract: Design of an efficient algorithm for fueloptimal look-ahead control, 2010, Control Engineering Practice. http://dx

Cited by 198 publications

References 15 publications

Optimal eco-driving for conventional vehicles: Simulation and experiment

Optimal eco-driving for conventional vehicles: Simulation and experiment

Development of Look-Ahead Controller Concepts for a Wheel Loader Application

The Optimal Road Grade Design for Minimizing Ground Vehicle Energy Consumption

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