Automobile economical cruise control method and device

Abstract

The invention discloses an automobile economical cruise control method and device. The control method comprises the following steps that a vehicle fuel consumption model and a vehicle longitudinal dynamics model are established, a vehicle speed optimization target is established, and the economical cruise speed is solved; pavement adhesion coefficient estimation is carried out on an electronic control unit, and a corresponding economical cruise speed is determined according to the estimated adhesion coefficient of the current pavement; the economical cruise speed corresponding to the discreteposition is converted into the economical cruise speed corresponding to the discrete time; and a model prediction controller is used for carrying out vehicle speed tracking control. According to the method, the travelling safety and the fuel economy can be considered under a complex pavement with the road gradient and pavement adhesion coefficient which keep changing all the time.

Description

technical field [0001] The invention relates to the control of economical cruising of automobiles under complex road conditions, and mainly considers the influence of road slope, road surface adhesion coefficient and their changes on vehicle fuel economy and driving safety. Background technique [0002] The Internet-based smart car is the current development trend of the automotive industry. It mainly obtains a large amount of vehicle and road information, and makes the optimal decision through various optimization algorithms to improve the driving quality of the vehicle. In recent years, a series of studies have been carried out at home and abroad to plan the economic speed of vehicles based on networked smart vehicles using environmental information. Scholars such as Matthew Barth of the University of California, Riverside, have studied the economic speed of vehicles when passing through traffic lights. Vehicles can plan their speed by obtaining the phase change informatio...

AI Technical Summary

Problems solved by technology

[0003] At present, for the speed optimization control of road information, information such as traffic lights, curves and road slopes are mainly considered at home and abroad, and the influence of changes in road conditions on the speed optimization process is not considered. Among them, the most typical road surface changes are caused by weather. Sudden changes in road adhesion rate, such as sudden rain and snow caused by road surface water, icing, etc. According to relevant statistics, the incidence of traffic accidents in winter is significantly higher than the average level of the year, and the accident rate in January with severe weather conditions is the highest in the weather. It is 5 times higher than that in July when the condition is better, and the probability of accidents in ice and snow days is 12 times higher than that in sunny days. It can be seen that optimizing the speed of the vehicle without considering the changes in road conditions will have a negative impact on fuel economy and driving safety. Negative Effects

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