Hybrid electric vehicle control method and system based on driving style recognition

A hybrid electric vehicle and driving style technology, which is applied in the field of hybrid electric vehicle control methods and systems, can solve problems such as lack of driving style factors, and achieve reasonable energy distribution, accurate recognition results, and good performance

Active Publication Date: 2020-04-21
SHANDONG UNIV
View PDF6 Cites 24 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The current control strategy is formulated under standard operating conditions and lacks consideration of driving style factors

Method used

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
View more

Image

Smart Image Click on the blue labels to locate them in the text.
Viewing Examples
Smart Image
  • Hybrid electric vehicle control method and system based on driving style recognition
  • Hybrid electric vehicle control method and system based on driving style recognition
  • Hybrid electric vehicle control method and system based on driving style recognition

Examples

Experimental program
Comparison scheme
Effect test

Embodiment 1

[0032] Embodiment one, such as figure 1 As shown, the present embodiment provides a hybrid electric vehicle control method based on driving style recognition;

[0033] A hybrid electric vehicle control method based on driving style recognition, comprising the following steps:

[0034] S1: collect the driving data of the vehicle to be controlled, and extract characteristic parameters according to the driving data, the characteristic parameters include speed, acceleration pedal opening change rate and brake pedal opening change rate;

[0035] S2: Establish the S4VM driving style recognition model based on genetic algorithm optimization, input the characteristic parameters into the model, obtain the driving style recognition result, and obtain the optimal vehicle control parameters according to the driver's driving style recognition result;

[0036] S3: Establish a control strategy with the minimum energy consumption of the vehicle as the optimization goal, and adjust the contro...

Embodiment 2

[0128] Embodiment 2, this embodiment also provides a hybrid vehicle control system based on driving style recognition;

[0129] Hybrid electric vehicle control system based on driving style recognition, including:

[0130] The collection module is configured to: collect driving data of the vehicle to be controlled, and extract characteristic parameters according to the driving data, the characteristic parameters including speed, acceleration pedal opening change rate and brake pedal opening change rate;

[0131] The driving style recognition module is configured to: establish an S4VM driving style recognition model based on genetic algorithm optimization, input characteristic parameters into the model to obtain a driving style recognition result, and obtain optimal vehicle control parameters according to the driver's driving style recognition result;

[0132] The vehicle control module is configured to: establish a control strategy with the optimization goal of minimizing the ...

Embodiment 3

[0133] Embodiment 3. This embodiment also provides an electronic device, including a memory, a processor, and computer instructions stored in the memory and run on the processor. When the computer instructions are executed by the processor, the computer instructions in Embodiment 1 are completed. steps of the method described above.

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

PUM

No PUM Login to view more

Abstract

The invention discloses a hybrid electric vehicle control method and system based on driving style recognition. The method comprises the steps that driving data to be recognized are collected, the driving data to be recognized are processed to obtain parameters to be recognized, the driving data are collected, characteristic parameters are extracted according to the collected data, and the characteristic parameters comprise the speed, the accelerator pedal opening degree change rate and the brake pedal opening degree change rate; an S4VM driving style recognition model is established based ongenetic algorithm optimization, the parameters to be recognized are input into the model to obtain a driving style recognition result, and optimal control parameters of the vehicle are obtained according to the driving style recognition result; an optimal vehicle control parameter is obtained according to a driver driving style recognition result; and a control strategy is established by taking the minimum energy consumption of the whole vehicle as an optimization target, and the control strategy is adaptively adjusted according to the driving style. Vehicle control parameters are adjusted through driving style recognition, so that an engine works in an efficient area, and the fuel economy of the whole vehicle is greatly improved.

Description

technical field [0001] The present disclosure relates to the technical field of hybrid electric vehicle control, in particular to a hybrid electric vehicle control method and system based on driving style recognition. Background technique [0002] The statements in this section merely mention background art related to the present disclosure and do not necessarily constitute prior art. [0003] Driving style refers to the way a person habitually drives. Vehicle driving is a process in which a driver operates the vehicle. Different people driving the same vehicle under the same road conditions will also lead to different driving conditions of the vehicle. This is because different people operate differently on the vehicle and reflect their driving style. Different, that is, the driver makes the car show different running states through the operation of the steering wheel, clutch, accelerator pedal, brake pedal, etc. under the current road conditions. Existing studies have sh...

Claims

the structure of the environmentally friendly knitted fabric provided by the present invention; figure 2 Flow chart of the yarn wrapping machine for environmentally friendly knitted fabrics and storage devices; image 3 Is the parameter map of the yarn covering machine
Login to view more

Application Information

Patent Timeline
no application Login to view more
IPC IPC(8): B60W20/00B60W40/09B60W40/105B60W40/00
CPCB60W20/00B60W40/00B60W40/09B60W40/105
Inventor 崔纳新石月美袁海涛王光臣
Owner SHANDONG UNIV
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Try Eureka
PatSnap group products