Optimal fuel-cut driving method for better fuel economy

Choi, Seong-Cheol; Ko, Kwang-Ho; Jeung, In‐Seuck

doi:10.1007/s12239-013-0020-4

Cited by 7 publications

(5 citation statements)

References 3 publications

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“…It must be very dynamic with low emission of toxic compounds in exhaust gases and low CO 2 emissions, synonymous with low fuel consumption. Unfortunately, it is not possible to meet all these requirements simultaneously [13]. High dynamics and power require a rich fuel-air mixture provided to the engine cylinder.…”

Section: Gdi Engine Modes Of Run and Their Impact On Fuel Consumptionmentioning

confidence: 99%

The Indicator of GDI Engine Operating Mode and Its Influence on Eco-Driving

Pawlak

Wołczyński

2022

Applied Sciences

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Elements of car construction, especially the information available on a dashboard, can stimulate the way of driving. The experiment described in the paper aimed to examine how the information provided by the indicator, which informs about the operational mode of a gasoline direct injection (GDI) engine, can contribute to eco-driving and the possible learning of acceleration pedal operation by a driver. The analysis of the fuel injection process affected by driver behaviour was an essential part of the experiment. The experiment was divided into two parts. The first one (nine tests) consisted of driving without access to the indicator information. In the second part, the information on the mode of the engine run was available for the driver. The results confirmed that the information about the type of fuel mixture used for the supply of the GDI engine facilitates an economical driving style (about 10% fuel savings) and motivates the driver to engage in eco-driving.

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Section: Gdi Engine Modes Of Run and Their Impact On Fuel Consumptionmentioning

confidence: 99%

The Indicator of GDI Engine Operating Mode and Its Influence on Eco-Driving

Pawlak

Wołczyński

2022

Applied Sciences

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“…The fuel consumption model is modified as follow: (11) reflects that there is no idle fuel consumption when fuel is cut off.…”

Section: Fuel Cut-offmentioning

confidence: 99%

“…The majority of studies on eco-coasting have focused on the fuel economy benefit evaluation of different coasting strategies with backward vehicle simulation approaches [2,11,12], where the required engine load is calculated from the pre-defined vehicle speed profile. However, it does not fully explore the potential of eco-coasting as the generated coasting action only relied on current vehicle state and road information.…”

Section: Introductionmentioning

confidence: 99%

Eco-Coasting Strategies Using Road Grade Preview: Evaluation and Online Implementation Based on Mixed Integer Model Predictive Control

Yan¹,

Li²,

Song³

et al. 2021

Preprint

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In this paper, two different coasting strategies are proposed: one leverages fuel cut-off and another uses engine start/stop. Engine drag torque and energy-cost used for engine restart are considered in the modeling to give a fair evaluation. Then, the performance of these two coasting methods is evaluated with dynamic programming (DP) under various driving scenarios with different slope profiles. Offline simulation shows that the engine start/stop method outperforms the fuel cut-off method in terms of fuel consumption and travel time by getting rid of the engine drag torque. Furthermore, on-line performance of these two coasting methods is evaluated using Mixed Integer Model Predictive Control (MIMPC). A novel operational constraint on the minimum off steps is added in the MIMPC formulation to avoid frequent switch of the integer variables representing the fuel cut-off and the engine start/stop mechanism. Simulation results show that, for both fuel cut-off and engine start/stop coasting methods, the MPC improves fuel consumption to a level comparable to DP without sacrificing the travel time.

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“…1 One of the most important features of these vehicles, based on electricity, is their ability to recover significant amounts of braking energy in a process known as regenerative braking. 2 Among various methods to improve fuel economy, [3][4][5] recovering the braking energy and reusing it can significantly improve the fuel economy of a vehicle which is subject to frequent braking events such as city bus. [6][7][8][9] The more driving motor operates widely as generator, the more braking energy can be absorbed.…”

Section: Introductionmentioning

confidence: 99%

Evaluation of regenerative braking effect for E-REV bus according to characteristic of driving cycle

Choi

Jeong

Park

et al. 2015

Int. J. of Precis. Eng. and Manuf.-Green Tech.

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The extended-range electric vehicle (E-REV) is an electric vehicle concept that has a light engine to allow an extended driving range. One of the most important features of these vehicles, based on electricity, is their ability to recover significant amounts of braking energy in a process known as regenerative braking. The more driving motor operates widely as generator, the more braking energy can be absorbed. However, it is not realistic in terms of performance for components. This study proposes three regenerative braking torque maps as the constraints to consider their performance. The results of fuel economy for simulations while applying proposed torque maps are compared with those of simulations without any constraints to evaluate effect of regenerative braking for E-REV bus according to characteristic of driving cycle. The characteristics of driving cycles are analyzed to find relationship between driving cycle and fuel economy. The aggressiveness of the driving cycles shows a linear relationship with regard to the difference in the fuel economy. This result can be used to develop power distribution control strategies with regenerative braking models to improve fuel economy levels.

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Optimal fuel-cut driving method for better fuel economy

Cited by 7 publications

References 3 publications

The Indicator of GDI Engine Operating Mode and Its Influence on Eco-Driving

The Indicator of GDI Engine Operating Mode and Its Influence on Eco-Driving

Eco-Coasting Strategies Using Road Grade Preview: Evaluation and Online Implementation Based on Mixed Integer Model Predictive Control

Evaluation of regenerative braking effect for E-REV bus according to characteristic of driving cycle

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