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Intelligent network joint hybrid vehicle formation control method based on driving style

A hybrid electric vehicle and driving style technology, which is applied in the field of intelligent networked hybrid electric vehicle formation control based on driving style, can solve the problems of less research on queue control and no consideration of the influence of the driver's speed, so as to reduce fuel consumption and improve Fuel economy, the effect of improving vehicle fuel economy

Inactive Publication Date: 2019-02-19
JIANGSU UNIV
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  • Abstract
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  • Application Information

AI Technical Summary

Problems solved by technology

There are relatively few studies on queuing control, and the influence of driver's driving error on vehicle speed is not considered

Method used

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  • Intelligent network joint hybrid vehicle formation control method based on driving style
  • Intelligent network joint hybrid vehicle formation control method based on driving style
  • Intelligent network joint hybrid vehicle formation control method based on driving style

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Embodiment Construction

[0044]For further understanding of the present invention, now describe in detail below in conjunction with technical scheme and accompanying drawing:

[0045] combined with figure 1 , in the intelligent transportation system, the vehicle can obtain other road information such as surrounding vehicle information, traffic light information, etc., according to these information, the optimal vehicle speed planning controller can solve the optimal vehicle speed. The error compensation controller obtains the commanded vehicle speed based on the optimal vehicle speed and the predicted error, and communicates it to the driver. The energy management controller distributes torque to the vehicle's engine and electric motors based on the driver's acceleration or braking information.

[0046] combined with figure 2 , the technical route can be divided into upper-level control and lower-level control. The upper layer control includes: signal light information model modeling and using the...

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Abstract

The invention discloses an intelligent network joint hybrid vehicle formation control method based on a driving style, and relates to the field of intelligent network joint hybrid vehicles. The methodcomprises the following steps of: firstly, using a vehicle networking technology and an intelligent transportation system to obtain real-time information such as front and rear vehicle distance, roadspeed limit, traffic signal, etc., and using particle swarm optimization algorithm to solve an optimal vehicle speed; secondly, combining the error big data obtained through tracking target vehicle speed of the drivers with different driving styles, and using a BP neural network and a compensation algorithm to solve a command speed of a driving assistance system; and finally, controlling the engine and motor torque near the optimal torque through hybrid vehicle energy management. According to the intelligent network joint hybrid vehicle formation control method based on the driving style, theinstruction speed of the driving assistance system is solved, and real-time energy management control is performed on the hybrid vehicle according to the intelligent transportation system and the driving style of the driver, the purpose of improving the road passing capacity and the fuel economy of the vehicle is achieved, and a new direction is provided for the hybrid vehicle in combination withthe intelligent transportation environment and the intelligent assistance driving.

Description

technical field [0001] The invention relates to the technical field of intelligent network-connected hybrid electric vehicles, in particular to a driving style-based intelligent network-connected hybrid electric vehicle formation control method. Background technique [0002] With the increasingly prominent global energy and environmental issues, new energy vehicles have gradually become the future development direction of the automotive industry, and hybrid vehicles have become an important part of the current automotive market due to their advantages such as low fuel consumption and long cruising range. On the other hand, with the development of new technologies such as mobile Internet, artificial intelligence, and big data, the automobile industry is also undergoing a new revolution, and the integration of the Internet and the automobile industry is the general trend. In this context, major auto companies have also accelerated their deployment in this area. SAIC Motor has ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G08G1/00B60W30/14
CPCB60W30/143B60W2555/60G08G1/22
Inventor 汪少华余铖铨施德华孙晓强张晟惠易佳张弛
Owner JIANGSU UNIV
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