A driver-in-the-loop vehicle fuel economy control method

A technology of fuel economy and control method, which is applied in the field of fuel economy control of intelligent networked hybrid electric vehicles, and can solve problems such as prediction of driving state deviation, failure to consider the influence of driver's vehicle predictive control, and failure to consider driver intervention, etc. , to improve fuel economy, prevent vehicles from running red lights, and avoid overcharging or overdischarging

Active Publication Date: 2021-01-15
HEFEI UNIV OF TECH
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AI Technical Summary

Problems solved by technology

However, none of the above studies considered the influence of the driver’s random error on the vehicle’s predictive control, because the driver’s execution has errors, and the vehicle’s driving state will deviate from the predicted optimal value.
[0004] Existing IoV predictive control literature generally studies highly automated unmanned vehicles, regardless of driver intervention

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  • A driver-in-the-loop vehicle fuel economy control method
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  • A driver-in-the-loop vehicle fuel economy control method

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Embodiment Construction

[0036]The fuel economy control method of a driver-in-the-loop vehicle in this embodiment is: the vehicle is an intelligent networked hybrid vehicle, and the control method is as follows:figure 1 The hierarchical control method that considers the driver's random error is shown; the upper control method in the hierarchical control method is based on the driver's random error and the state information obtained in the intelligent network environment to calculate the optimal target speed. The state information includes Surrounding vehicle status information and traffic signal status information, that is, the upper control system is the speed prediction layer that takes into account the driver’s random error; the lower control method in the layered control method is based on the principle of adaptive equivalent fuel consumption minimum to calculate the maximum value of hybrid electric vehicles. Optimal energy distribution, that is, the lower control system is the energy management layer.

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Abstract

The invention discloses a driver-in-the-loop vehicle fuel economy control method. The method is characterized in that a vehicle is an intelligent network connection hybrid power vehicle, and the control method is a hierarchal control method in which driver random errors are considered; a superior control method in the hierarchal control method calculates an optimal target vehicle speed based on the driver random errors and state information obtained based on an intelligent network connection environment, wherein the state information comprises surrounding vehicle state information and trafficlight state information; a substratum control method in the hierarchal control method calculates the optimal energy distribution of the hybrid power vehicle based on a self-adaption equivalent fuel consumption minimum principle. According to the control method, a preset vehicle speed which is very approximate to an ideal condition can be obtained, and better fuel economy is obtained.

Description

Technical field[0001]The invention belongs to the field of control of intelligent networked vehicles and new energy vehicles, and particularly relates to a fuel economy control method of an intelligent networked hybrid vehicle with a driver in the loop.Background technique[0002]Intelligent networked vehicles are equipped with advanced sensors, controllers, actuators and modern communication equipment, which can realize information interaction with surrounding vehicles and transportation facilities, and provide energy-saving, safe, environmentally friendly, comfortable and fast transportation modes, which are recognized globally One of the future development directions of the automotive industry.[0003]In the intelligent networked environment, the position information of the vehicle can be obtained through the global positioning system, the relative position information between the vehicles can be obtained through radar or lidar, the absolute speed information of the vehicle can be me...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G05D1/02
Inventor 钱立军张应鹏邱利宏张嘉明
Owner HEFEI UNIV OF TECH
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