Observer-based longitudinal speed control method for pure electric intelligent vehicles

A longitudinal vehicle speed, intelligent vehicle technology, applied in the field of vehicle control, can solve problems such as unmeasurable system parameters

Active Publication Date: 2020-06-16
JILIN UNIV
View PDF7 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] 2. The longitudinal speed control system of pure electric smart vehicles is nonlinear
[0006] 4. The system parameters are unmeasurable. As an important parameter affecting the system model, the mass of the vehicle changes with the number and weight of the passengers, but it is not measurable.

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
  • Observer-based longitudinal speed control method for pure electric intelligent vehicles
  • Observer-based longitudinal speed control method for pure electric intelligent vehicles
  • Observer-based longitudinal speed control method for pure electric intelligent vehicles

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0148] The control block diagram implemented by the electric vehicle torque optimization method based on data-driven predictive control in the present invention is as follows figure 1 As shown, the vehicle speed optimization controller in the figure is built in Simulink. The input of the controller is the expected vehicle speed, the actual vehicle speed is used as a measurable signal, and the mass and slope are fed back to the controller in real time as measurable disturbances. Tmax is the maximum driving torque of the motor , it is jointly determined by the mechanical characteristics of the motor and the output voltage of the battery, which not only reflects the hard constraints of the actuator of the motor itself, but also reflects the impact of the decrease in voltage on the performance of the vehicle as the battery discharge time increases. The driving torque obtained by the vehicle controller must be less than or equal to Tmax, so Tmax is given to the controller as a const...

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 an intelligent electric automobile longitudinal vehicle speed control method based on an observer and belongs to the technical field of automobile control. The invention aims to engineer a controller by using the moving horizon optimization control algorithm which is based on observer. The method optimizes a moment required by a driver through the controller, distributes drive and brake moment so as to effectively control longitudinal vehicle speed of an intelligent electric automobile based on the observer. According to the invention, the method can realize joint simulation of Matlab / Simulink and AMESim by adding an interface module to an AMESim interface, the interface module communicating with simulink, storing model information in AMESim in Simulink in the form of S-function after system performs encoding. According to the invention, the method is aimed at addressing the problem of intelligent electric automobile longitudinal vehicle speed control. The observer is designed targeting important parameters of a system. The moving horizon optimization control algorithm can better conduct online optimization resolution, and at the same time noticeably handle constraint.

Description

technical field [0001] The invention belongs to the technical field of automobile control. Background technique [0002] In order to reduce the occurrence of traffic accidents and reduce the impact of internal combustion engine vehicles on energy consumption and environmental pollution, along with the development of Internet, information, electronics and intelligent technologies, intelligent and electrified vehicles have become an effective way to solve the above problems. In recent years, well-known automobile manufacturers such as Volkswagen, BMW, and Audi, as well as well-known Internet companies such as Baidu and Google, have continuously increased their human and financial investment in the field of intelligent driving vehicles to seize the cutting-edge technology of intelligent driving. The development of intelligent driving technology will inevitably lead to a new round of major changes in the automotive industry. Longitudinal vehicle speed control is the underlying ...

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): G05B17/02
CPCG05B17/02
Inventor 胡云峰韩振宇朱大吉陈虹
Owner JILIN 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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap