Study on a String-stable ACC Using Vehicle-to-Vehicle Communication (2nd Report, ACC Design Method Using Model Predictive Control)

Yamamura, Yoshinori; Seto, Yoji; Nagai, Masao

doi:10.1299/kikaic.73.1917

Cited by 5 publications

(3 citation statements)

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“…Connected vehicles in an automated highway system can lead to increased driver safety, decreased road congestion, and improved fuel economy [17]. Connected vehicles can improve fuel economy through reduced wind resistance [18][19][20].…”

Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

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Model Predictive Control for Connected Hybrid Electric Vehicles

Liang

et al. 2015

Mathematical Problems in Engineering

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This paper presents a new model predictive control system for connected hybrid electric vehicles to improve fuel economy. The new features of this study are as follows. First, the battery charge and discharge profile and the driving velocity profile are simultaneously optimized. One is energy management for HEV forPbatt; the other is for the energy consumption minimizing problem of acc control of two vehicles. Second, a system for connected hybrid electric vehicles has been developed considering varying drag coefficients and the road gradients. Third, the fuel model of a typical hybrid electric vehicle is developed using the maps of the engine efficiency characteristics. Fourth, simulations and analysis (under different parameters, i.e., road conditions, vehicle state of charge, etc.) are conducted to verify the effectiveness of the method to achieve higher fuel efficiency. The model predictive control problem is solved using numerical computation method: continuation and generalized minimum residual method. Computer simulation results reveal improvements in fuel economy using the proposed control method.

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Section: Mathematical Problems In Engineeringmentioning

confidence: 99%

“…Here, we call it central control system of connected vehicles. In a distributed control system of connected vehicles [18][19][20], the individual vehicles are controlled separately by its own controller. It cannot predict other vehicles precisely.…”

Section: Modeling Of Two Connected Hevsmentioning

confidence: 99%

Model Predictive Control for Connected Hybrid Electric Vehicles

Liang

et al. 2015

Mathematical Problems in Engineering

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“…22 Platooning of vehicles can improve fuel economy through reduced wind resistance. [23][24][25] Considering a three-vehicle platoon, two low pressure areas are distributed in the rear of the lead vehicle and the front of the third vehicle. The size of the area can be different by changing the spacing between the vehicles.…”

Section: Introductionmentioning

confidence: 99%

Model predictive control for hybrid electric vehicle platooning using route information

Liang

Yang

et al. 2015

Proceedings of the Institution of Mechanical Engineers, Part D:

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This paper presents a new model predictive control system for hybrid electric vehicle platooning using route information to improve fuel economy. The new features of this study are as follows. First, a system for hybrid electric vehicle platooning has been developed considering varying the desired vehicle speed. Second, a general model of road slope in a vehicle platoon is developed. Third, the effect of prediction horizon and sampling interval on battery efficiency is analyzed. The model predictive control problem is solved using a discrete numerical computation method, the continuation and generalized minimum residual method. Computer simulation results reveal improvements in fuel economy using the proposed control method.

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DGPS-Based Vehicle-to-Vehicle Cooperative Collision Warning: Engineering Feasibility Viewpoints

Tan

Huang

2006

IEEE Trans. Intell. Transport. Syst.

221

103

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The vehicle collision warning system (CWS) is an important research and application subject for vehicle safety. Most of this topic's research focuses on autonomous CWSs, where each vehicle detects potential collisions based entirely on the information measured by itself. Recently, an alternative scenario has arisen. This scenario is known as cooperative driving, where either the vehicle or the infrastructure can communicate its location, intention, or other information to surrounding vehicles or nearby infrastructure. Since installing a low-cost global-positioningsystem (GPS) unit is becoming a common practice in vehicle applications, its implications in cooperative driving and vehicle safety deserve closer investigation. Furthermore, the future trajectory prediction may lead to a straightforward approach to detect potential collisions, yet its effectiveness has not been studied. This paper explores the engineering feasibility of a future-trajectoryprediction-based cooperative CWS when vehicles are equipped with a relatively simple differential GPS unit and relatively basic motion sensors. The goals of this paper are twofold: providing an engineering argument of possible functional architectures of such systems and presenting a plausible example of the proposed future-trajectory-based design, which estimates and communicates vehicle positions and predicts and processes future trajectories for collision decision making. In this paper, common GPS problems such as blockage and multipath, as well as common communication problems such as dropout and delays, are assumed. However, specific choices of GPS devices and communication protocol or systems are not the focus of this paper.

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Study on a String-stable ACC Using Vehicle-to-Vehicle Communication (2nd Report, ACC Design Method Using Model Predictive Control)

Cited by 5 publications

References 0 publications

Model Predictive Control for Connected Hybrid Electric Vehicles

Model Predictive Control for Connected Hybrid Electric Vehicles

Model predictive control for hybrid electric vehicle platooning using route information

DGPS-Based Vehicle-to-Vehicle Cooperative Collision Warning: Engineering Feasibility Viewpoints

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