Looking for breakthrough ideas for innovation challenges? Try Patsnap Eureka!

Hybrid electric vehicle self-adaptive PID dynamic control method for improving grey prediction

A hybrid electric vehicle, gray prediction technology, applied in special data processing applications, instruments, electrical digital data processing, etc., can solve the problem of insufficient dynamic response ability of HEV power system driving ability, difficult to achieve HEV control strategy optimization goals, HEV control strategy The energy consumption optimization target becomes worse and other problems, so as to achieve the effect of improving the dynamic control effect, reducing the overshoot and accelerating the adjustment process, and improving the speed response.

Pending Publication Date: 2019-04-16
HUBEI UNIV OF ARTS & SCI
View PDF6 Cites 9 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

Although the optimization objectives and optimization methods of various control strategies are focused, they seldom consider the reaction of the dynamic characteristics of HEV to its control strategy. State of the strategy optimization objective
[0004] By adopting conventional vehicle speed PID closed-loop control, the dynamic characteristics of HEV are improved, but excessive pursuit of dynamic characteristics of HEV will result in insufficient driving capability and dynamic response capability of HEV power system, which will make the energy consumption optimization goal of HEV control strategy worse

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 self-adaptive PID dynamic control method for improving grey prediction
  • Hybrid electric vehicle self-adaptive PID dynamic control method for improving grey prediction
  • Hybrid electric vehicle self-adaptive PID dynamic control method for improving grey prediction

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0052] In order to make the technical means, creative features, goals and effects achieved by the present invention easy to understand, the present invention will be further described below in conjunction with specific embodiments.

[0053] Such as figure 1 shown. The present invention is an adaptive PID dynamic control method for HEV power system with improved gray prediction. The method combines gray prediction with adaptive PID control, and introduces the quadratic performance index into the setting process of the PID controller. The weighting coefficient Automatically adjustable, realizing the optimal control law of adaptive PID. Use the historical vehicle speed data output by the HEV power drive model to predict the vehicle speed in the next few steps, and use the predicted vehicle speed as a feedback signal to compare with the working condition set value to obtain a deviation, which is used as the input of the adaptive PID controller. Therefore, the delayed controlled ...

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 self-adaptive PID dynamic control method for improved grey prediction, and the method comprises the following steps: (1) building an improved grey prediction model GM (1, 1); (2) establishing a self-adaptive PID control model; (3) establishing an HEV power driving model; (4) taking a vehicle speed requirement of a typical working condition (NEDC new European driving working condition) as an input; and based on Matlab / Simulink, respectively establishing an adaptive PID closed-loop control HEV driving simulation model based on improved grey prediction and an HEV driving simulation model based on conventional PID closed-loop control, and respectively carrying out comparative simulation analysis on the two models. According to the method, the HEV actual vehicle speed is effectively predicted by establishing the improved grey prediction model, meanwhile, the self-adaptive PID controller with parameters capable of being automatically corrected is established, real-time optimization control is conducted on the HEV power system, the vehicle speed is made to rise rapidly and stably, and the aim of saving energy is truly achieved.

Description

technical field [0001] The invention relates to the technical field of hybrid electric vehicle control, in particular to an adaptive PID dynamic control method for hybrid electric vehicles with improved gray prediction. Background technique [0002] Energy saving and environmental protection are the themes of the current development of the automobile industry, so research on new energy vehicles with high efficiency and energy saving has become a hot spot. The dynamic response of the vehicle speed is seriously affected by the inertia and hysteresis of the system during the driving process of the traditional hybrid electric vehicle (HEV), which cannot meet the requirements of the vehicle speed response to the driving conditions, and due to the nonlinearity of the HEV vehicle system and the time-varying nature of the vehicle speed, It is difficult to achieve control through accurate modeling. In addition, the traditional parallel HEV power system control strategy does not cons...

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
Patent Type & Authority Applications(China)
IPC IPC(8): G06F17/50
CPCG06F2119/06G06F30/20
Inventor 陈运星马强向立明姚鹏华
Owner HUBEI UNIV OF ARTS & SCI
Who we serve
  • R&D Engineer
  • R&D Manager
  • IP Professional
Why Patsnap Eureka
  • Industry Leading Data Capabilities
  • Powerful AI technology
  • Patent DNA Extraction
Social media
Patsnap Eureka Blog
Learn More
PatSnap group products

Browse by: Latest US Patents, China's latest patents, Technical Efficacy Thesaurus, Application Domain, Technology Topic, Popular Technical Reports.

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com