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

A Nonlinear Model Predictive Control Method for Electric Vehicle Regenerative Braking Process

A nonlinear model and regenerative braking technology, which is applied to control devices, vehicle components, and driver input parameters, can solve problems such as long computing time, application, and difficulty in nonlinear model predictive control

Inactive Publication Date: 2016-08-17
BEIJING UNIV OF TECH
View PDF5 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, in terms of computing efficiency, the long computing time makes it difficult for traditional nonlinear model predictive control to be effectively applied in fast systems.

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
  • A Nonlinear Model Predictive Control Method for Electric Vehicle Regenerative Braking Process
  • A Nonlinear Model Predictive Control Method for Electric Vehicle Regenerative Braking Process
  • A Nonlinear Model Predictive Control Method for Electric Vehicle Regenerative Braking Process

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0086] Taking the linear regenerative braking process of an electric vehicle as an example for further illustration.

[0087] In the present invention, when the brake pedal is stepped on, the vehicle is measured by the brake pedal 4, the vehicle speed sensor 5, the wheel speed sensor 6, the distance sensor 7, the acceleration sensor 8, the suspension displacement sensor 9, and the motor torque speed sensor 10. The braking strength, body posture, suspension stroke and motor running state of the vehicle. Wherein the brake pedal 4 provides the position signal of the brake pedal, the vehicle speed sensor 5 collects the vehicle speed signal, the wheel speed sensor 6 collects the wheel speed signal, the distance sensor 7 collects the distance signal from the vehicle in front to plan the reference speed, and the acceleration sensor 8 collects the vehicle acceleration signal, the suspension displacement sensor 9 collects the suspension travel signal and the displacement change rate si...

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 relates to the field of vehicle control, in particular to a nonlinear model prediction control method of regenerative braking of an electric vehicle. The method adopts a nonlinear model prediction control strategy of a rapid system, on the basis of establishing an electric vehicle regenerative braking nonlinear model, subsystem operating state signals, acquired by sensors, of the entire vehicle, wheels, suspensions and motors in the braking process of the electric vehicle are acquired, and multiple purposes, namely controlling speed accurately, guaranteeing vehicle stability, improving driving smoothness and regenerative braking energy recovering efficiency, in the braking process are controlled coordinately. The control system is mainly applied into the driving and braking processes of traditional vehicles and electric vehicles, especially the multipurpose controlling process of strong nonlinear systems.

Description

technical field [0001] The invention relates to a nonlinear model predictive control method for the regenerative braking process of an electric vehicle. Background technique [0002] During regenerative braking of an electric vehicle, kinetic energy is converted into electrical energy and stored in an energy storage device. Maximizing the use of regenerative braking to recover the dissipated energy in the braking process is of great significance for extending the driving range of the vehicle. At the same time, electric vehicles have obvious advantages over traditional vehicles in terms of braking response time, vehicle structure and transmission system efficiency. Therefore, the research on improving the energy recovery efficiency of regenerative braking plays an important role in the energy saving and emission reduction of vehicles. At the same time, due to the nonlinear characteristics of the automobile system and the multi-objective control problem during the driving pr...

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 Patents(China)
IPC IPC(8): B60W10/188B60W10/08B60W10/22
CPCB60W10/08B60W10/188B60W10/22B60W2510/22B60W2520/10B60W2520/105B60W2520/28B60W2540/12B60W2554/801
Inventor 冯能莲占子奇张志林宾洋
Owner BEIJING UNIV OF TECH
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