Eureka AIR delivers breakthrough ideas for toughest innovation challenges, trusted by R&D personnel around the world.

Electric vehicle real-time energy management method and device, vehicle, and storage medium

A technology for energy management and electric vehicles, applied in measurement devices, data processing applications, forecasting, etc., can solve problems such as heavy computing load, inability to run online in real time, and inability to guarantee global optimality, etc., to reduce complexity and facilitate popularization and application Effect

Pending Publication Date: 2021-11-09
JILIN UNIV
View PDF6 Cites 4 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The design of rule-based energy management strategy is simple and easy to implement, but it cannot guarantee the global optimal
The energy management strategy based on optimization theory can guarantee the global optimum, but the calculation load is relatively large, and it cannot be run online in real time.
[0004] In recent years, the Equivalent Consumption Minimization Strategy (ECMS) based on Pontryagin's Maximum Principle (PMP) has been widely used in academia and industry to design energy management strategy, but the biggest problem facing the algorithm is the selection of the initial value of the equivalent factor and how to dynamically adjust its value in real time

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
  • Electric vehicle real-time energy management method and device, vehicle, and storage medium
  • Electric vehicle real-time energy management method and device, vehicle, and storage medium
  • Electric vehicle real-time energy management method and device, vehicle, and storage medium

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in conjunction with the accompanying drawings and embodiments. It should be understood that the specific embodiments described here are only used to explain the present invention, not to limit the present invention.

[0032] It can be understood that the terms "first", "second" and the like used in the present invention may be used to describe various elements herein, but unless otherwise specified, these elements are not limited by these terms. These terms are only used to distinguish one element from another element. For example, a first xx script could be termed a second xx script, and, similarly, a second xx script could be termed a first xx script, without departing from the scope of the present invention.

[0033] figure 1 It is an application environment diagram of the xx method provided in an embodimen...

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 technical field of automobile intelligent control, in particular to an electric vehicle real-time energy management method and device, a vehicle, and a storage medium. The method comprises the following steps: building an energy management model of an electric vehicle; determining a data set of an initial value lambda<0> of a co-state factor according to a plurality of driving conditions; according to road condition information of a current driving condition, determining a reference charge state track of the current driving condition; according to the data set of the initial value lambda<0> of the co-state factor and a relationship between the co-state factor and an equivalent factor, determining an initial value s<0> of the equivalent factor, and performing real-time energy optimization; determining a difference value between a charge state at the current moment and a charge state obtained in the previous step, and adjusting the size of the equivalent factor by using a PI controller. According to the technical solution of the invention, the optimality of a maximum value principle and the real-time performance of an equivalent consumption minimum strategy are combined, so that the problems of equivalent factor selection and self-adaption in the equivalent consumption minimum strategy are solved, and the method is easier to popularize and apply.

Description

technical field [0001] The invention relates to the technical field of automobile intelligent control, in particular to an electric vehicle real-time energy management method, device, vehicle and storage medium. Background technique [0002] With the increasingly serious environmental pollution and the aggravation of the energy crisis, the development of new energy vehicles is an important measure to solve this problem. New energy vehicles have the advantages of low emissions, high energy conversion efficiency, and diverse fuel sources, and are considered to be one of the important directions for the sustainable development of future automobiles. Since most new energy vehicles are powered by multiple energy sources, energy management strategies play a key role in new energy vehicles, which can directly affect the operating point of energy sources, prolong the service life of components, and improve vehicle economy. [0003] At present, energy management strategies are mainl...

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): G06Q10/04G01C21/34
CPCG06Q10/047G01C21/3492
Inventor 高金武侯圣彦胡云峰陈虹高炳钊马彦尹海
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
Eureka Blog
Learn More
PatSnap group products