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Destination identification method for plug-in type hybrid vehicle

A hybrid electric vehicle and identification method technology, which is applied in the fields of electrical digital data processing, geographic information database, structured data retrieval, etc. drop etc.

Inactive Publication Date: 2016-09-21
DALIAN UNIV OF TECH
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in real life, when the driver is familiar with the environment, he often does not actively set the destination to obtain the navigation route, so the vehicle cannot obtain the route information to the destination, which affects the rationality of fuel allocation and battery energy planning, resulting in Decreased vehicle performance

Method used

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  • Destination identification method for plug-in type hybrid vehicle
  • Destination identification method for plug-in type hybrid vehicle
  • Destination identification method for plug-in type hybrid vehicle

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Embodiment Construction

[0029] The specific embodiments of the present invention will be described in detail below in conjunction with the technical solutions and accompanying drawings. The present invention takes a plug-in hybrid electric vehicle as an example to further analyze and illustrate the destination recognition control method. Such as figure 1 shown, including the following steps:

[0030] A. Obtain vehicle operating status data

[0031] A1. Obtain GPS raw data

[0032] Use the car's GPS navigation system or on-board smart devices to obtain the GPS location and driving track information of the car. The historical driving trajectory of the driver in a period of time is obtained by taking the GPS geographic location information of the car during a period of time in chronological order. A piece of GPS historical driving trajectory data represents a series of point sets of GPS position data at different times, with P i =(Lat, Lngt, T) represents the geographical position information at p...

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Abstract

The invention discloses a destination identification method for a plug-in type hybrid vehicle, comprising the steps of obtaining vehicle running state data; and identifying a destination based on a variable-order Markov model. When a destination is not set, the method effectively abstracts the driving habits and rules of a driver according to GPS historic traveling track data, forecasts a destination greater than a confidence coefficient threshold and a path node sequence to the destination, and further estimates the whole vehicle energy consumption of each path node; the method lays the foundation for energy management strategy global optimization, is conductive to increasing automobile dynamic property and economical efficiency, and accords with the energy saving and environmental protection themes of current automobile development. The method uses a PMM algorithm to reduce the space complexity and calculated quantity of a prediction model and a zero frequency problem, utilizes the variable-order Markov model to match automobile historic and current multi-source data, can more flexibly and more accurately predict a destination node and journey sequence, and is of great significance for the intelligent vehicle technology.

Description

technical field [0001] The invention relates to battery energy management technology of a hybrid electric vehicle, in particular to a destination identification method for a plug-in hybrid electric vehicle. Background technique [0002] Energy saving and environmental protection are the two major themes of automobile development. While plug-in hybrid electric vehicles meet the dynamic performance of automobiles, they have significant advantages in terms of fuel economy and emissions. When a plug-in hybrid electric vehicle travels, if the driver sets a destination in the car navigation system, the vehicle can obtain the route to the destination dynamically planned by the navigation system, and further obtain the road conditions of the route to achieve close Globally optimal fuel allocation and battery energy planning to improve the fuel-saving performance of plug-in hybrid electric vehicles. However, in real life, when the driver is familiar with the environment, he often do...

Claims

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Application Information

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IPC IPC(8): G06Q10/04G06F17/30
CPCG06F16/29G06F2216/03G06Q10/047Y02D10/00
Inventor 连静李琳辉孙延秋伦智梅周雅夫范悟明刘爽
Owner DALIAN UNIV OF TECH
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