Fuel efficiency improvement in HEVs using electromechanical brake system

Abstract-The engine cooling system in trucks is one of the main sources of parasite load. Thus fuel efficiency can be improved by optimal control of engine thermal management system considering fuel consumption minimization as the objective. Although several optimal control methods have been proposed for the engine cooling system, their main emphasize is on regulating engine and coolant temperature in an acceptable range rather than minimizing fuel consumption. In contrast, this paper investigates the fuel saving potential of predictive optimal control methods for the engine cooling system of conventional trucks. Our method exploits the idea of energy buffers in the automotive system, where the engine cooling system and the battery serve as energy buffers. The advantages of this approach are the recovery of brake energy and the balance of energy sources so that the total energy loss is minimized. A model predictive controller is used as the real time controller, and the results are compared with a simple state feedback controller and a global optimal solution obtained by dynamic programming. The results show limited but notable improvement in fuel efficiency. The results also construct a base for ongoing research on energy buffer control in conventional heavy trucks.

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“…Each of demanded powers are calculated as, (2) where is rolling resistant coefficient, is gradient angle and is vehicle speed.…”

Section: (1)mentioning

confidence: 99%

“…Potential capabilities of auxiliary subsystems in decreasing fuel consumption have already been shown in [2] and [3]. The current trend of reducing the energy loss in auxiliaries is electrification.…”

Section: Introductionmentioning

confidence: 99%

Predictive control of the engine cooling system for fuel efficiency improvement

Khodabakhshian

Feng

Wikander

2014

2014 IEEE International Conference on Automation Science and Engineering (CASE)

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“…Reducing transportation energy consumption is critical for saving fossil resources and mitigating air pollution [3]. The approaches to fuel consumption reduction may be divided into two categories: the first involves changes to the mechanical design of the vehicle, such as weight reduction [4], more efficient auxiliaries [5][6][7][8][9][10], and alternative powertrains. Vehicles with alternative powertrains include hybrid electric vehicles [11][12][13][14][15][16][17], full electric vehicles [18][19][20] and fuel-cell vehicles [21][22][23].…”

Section: Introductionmentioning

confidence: 99%

Optimal road grade design based on stochastic speed trajectories for minimising transportation energy consumption

Liu

Feng

2021

IET Intelligent Trans Sys

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Reducing energy consumption, regardless of fuel or electricity, of ground vehicles is a paramount pursuit in academia and industry. Current research concentrates exclusively on the improvement of the vehicle, but accepts the road conditions as external influences. The innovation of this article is to consider the road conditions, particularly the grade angle, as design variables. It is assumed that the stochastic speed trajectories of all vehicles on the road can be modelled by a Markov chain. The expected value of the average energy consumptions of all vehicles running on the road is defined as the objective function. The optimisation problem is solved by dynamic programming with Markov model. Evaluations have been made on both simulated and measured speed trajectories. For the simulated speed trajectories, the optimal road grade profile designed by the method saves up to 22% energy compared with a flat road. For the measured speed trajectories, the optimal road grade profile saves up to 2.7% transportation energy compared with the actual road profile. Application of this method on building road could lead to considerable energy saving.This is an open access article under the terms of the Creative Commons Attribution License, which permits use, distribution and reproduction in any medium, provided the original work is properly cited.

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“…Hybrid powertrains already became an affordable and popular approach to higher fuel efficiency and there are many successful products from Toyota, Honda, Volvo, BYD and so on. In addition to improving the energy efficiency of powertrains, the auxiliary systems, such as the power-assisted steering and brake and thermal management system, are also optimized for better energy efficiency [11][12][13][14][15].…”

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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Fuel efficiency improvement in HEVs using electromechanical brake system

Cited by 5 publications

References 3 publications

Predictive control of the engine cooling system for fuel efficiency improvement

Predictive control of the engine cooling system for fuel efficiency improvement

Optimal road grade design based on stochastic speed trajectories for minimising transportation energy consumption

The Optimal Road Grade Design for Minimizing Ground Vehicle Energy Consumption

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