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

A control method for regenerative braking of electric vehicles based on multiple constraints

A technology of electric vehicles and regenerative braking force, which is applied in the direction of electric vehicles, electric braking systems, vehicle components, etc., can solve problems such as threats to safety, shortened lifespan, and failure to take regenerative braking into account, and achieve the effect of improving feedback efficiency

Inactive Publication Date: 2017-03-15
UNIV OF ELECTRONICS SCI & TECH OF CHINA
View PDF6 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] However, the above existing methods have not considered an important object in regenerative braking - the battery
As an energy storage device, the charging process of the battery also needs to be strictly controlled, otherwise its lifespan will be shortened, and its safety will be threatened

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 control method for regenerative braking of electric vehicles based on multiple constraints
  • A control method for regenerative braking of electric vehicles based on multiple constraints
  • A control method for regenerative braking of electric vehicles based on multiple constraints

Examples

Experimental program
Comparison scheme
Effect test

Embodiment

[0078] figure 1 It is a flow chart of the electric vehicle regenerative braking control method based on multiple constraint conditions in the present invention.

[0079] In this embodiment, the present invention is based on the electric vehicle regenerative braking control method under multiple constraint conditions, mainly including two steps: calculating regenerative braking force and regenerative braking control based on multiple constraint conditions, combined below figure 1 The two steps are described in detail as follows:

[0080] S1. Calculate the regenerative braking force according to the charging current of the battery

[0081] S1.1. Estimating the state of charge SOC of the electric vehicle battery

[0082] S1.1.1. Collect the current at the battery input terminal through the current sensor, then collect the temperature of the braking system through the temperature sensor, and perform fitting training through MATLAB to obtain the influence factor η of the temperat...

example

[0136] Establish a pure electric vehicle model in ADVISOR, and verify it by establishing actual road conditions, and the actual road conditions choose 4 common working conditions in ADVISOR: New York City Working Condition NYCC, Urban Road Cycle Working Condition UDDS formulated by the US Environmental Protection Agency EPA , EUDC_LOW for European urban low-speed conditions, and HWFET for highway conditions.

[0137] (1), New York city working condition NYCC

[0138] Such as figure 2 As shown, the first picture in the figure shows the vehicle speed under the NYCC working condition, the second picture shows the battery charging voltage under this working condition, and the dotted line in the third picture shows the SOC after using the regenerative braking strategy described in the present invention The change trend, the solid line in the third figure indicates the SOC change trend after using the regenerative braking strategy in the ADVISOR software. It can be seen from the ...

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 regenerative braking control method for electric vehicles based on multi-constraint conditions. First, the optimal charging current of the battery is estimated according to the state of charge SOC of the battery, and the actual charging current of the battery is approached to the actual charging current of the battery through a current control algorithm. The maximum charging current curve, and then calculate the maximum regenerative braking force according to the maximum charging current, which improves the charging efficiency; secondly, according to the size of the braking intensity, the regenerative braking is divided into three levels, and the constraints of the ECE regulations on torque distribution are analyzed , on the basis of ECE regulations, combined with the influence of braking force strength and ground adhesion coefficient on the distribution strategy, the regenerative braking force is distributed to ensure the safety of braking and reduce factors such as torque distribution, battery SOC and battery charging The impact on the braking process, thereby greatly improving the efficiency of energy recovery.

Description

technical field [0001] The invention belongs to the technical field of electric vehicles, and more specifically relates to a regenerative braking control method for electric vehicles based on multiple constraint conditions. Background technique [0002] As energy issues have become the focus of the world, traditional fuel vehicles are gradually being replaced by electric vehicles, and governments of various countries have introduced relevant policies to support pure electric vehicles. One of the core issues affecting the development of pure electric vehicles is how to make them run longer distances on a single charge, so the regenerative braking control strategy is particularly important. [0003] In the prior art, regenerative braking control strategies include: using a regenerative braking control method based on the target slip rate. During the control process, different control strategies are adopted according to the vehicle slip rate, which can improve the braking perfo...

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): B60L7/10
Inventor 郑宏李方方杨园园魏旻曹继申
Owner UNIV OF ELECTRONICS SCI & TECH OF CHINA
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