A rule-based load-adaptive real-time energy management system for hybrid energy storage systems

A technology of a hybrid energy storage system and an energy management system, which is applied in the fields of electric energy management, vehicle energy storage, and traction of capacitors, can solve problems such as high computing costs, and achieve the requirements of simple control rules, reduction of storage space and computing power, good robustness

Active Publication Date: 2022-05-13
UNIV OF SCI & TECH OF CHINA
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, existing power allocation methods either cannot maintain their good performance under unknown load conditions, or have relatively high computational costs, thus limiting their practical use.

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 rule-based load-adaptive real-time energy management system for hybrid energy storage systems
  • A rule-based load-adaptive real-time energy management system for hybrid energy storage systems
  • A rule-based load-adaptive real-time energy management system for hybrid energy storage systems

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0031] The present invention will be further described below in conjunction with accompanying drawing:

[0032] Such as figure 1 As shown, a hybrid energy storage system load adaptive real-time energy management system based on a dynamic programming algorithm provided by the present invention includes a hybrid energy storage system model module 1, a rule-based three-mode power distribution strategy module 2 and load conditions Adaptive parameter determination module 3, its specific implementation is as follows:

[0033] The calculation formula for intermediate variables under given typical working conditions or standard working conditions such as UDDS, HWFET, WLTP, US06, etc. is:

[0034]

[0035] p 2 =P avg -P avgd

[0036]

[0037] Among them, p 1 ,p 2 ,p 3 is an intermediate variable, P avg is the average power of the working condition, P avgd is the average power of the discharge part in the working condition, P avgc is the average power of the charging pa...

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 a rule-based hybrid energy storage system load adaptive real-time energy management system, including a hybrid energy storage system model module (1), a rule-based three-mode power distribution strategy module (2) and a load condition adaptive Parameter determination module (3). Among them, the hybrid energy storage system model module (1) includes the system topology, lithium battery and super capacitor model; the rule-based three-mode power distribution strategy module (2) includes three working modes and protection mechanisms; load condition self-adaptation The parameter determination module (3) constructs intermediate variables, then determines the relationship between parameters and intermediate variables and summarizes them into empirical formula expressions, and realizes high-efficiency and high-quality power distribution under unknown working conditions through iterative optimization in online use.

Description

technical field [0001] The invention relates to the technical field of driving and regenerative braking of pure electric vehicles, in particular to a rule-based hybrid energy storage system load adaptive real-time energy management system. Background technique [0002] In recent years, my country's electric vehicle industry has flourished. Due to the advantages of high energy density, high Coulombic efficiency, and no memory effect, lithium batteries are widely used as power batteries for electric vehicles. At present, the power battery of electric vehicles is mainly lithium battery, but lithium battery has the disadvantages of limited life, low power density and long response time. Supercapacitors have the advantages of fast charging and discharging, high power density and long cycle life, which can make up for the weakness of lithium batteries. Therefore, lithium battery-supercapacitor hybrid energy storage systems have become the future development direction of electric ...

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): B60L50/60B60L50/40B60L58/12
CPCB60L50/60B60L50/40B60L58/12Y02T10/70Y02T10/72
Inventor 陈宗海陈旭王丽李民策杨晓宇
Owner UNIV OF SCI & TECH OF CHINA
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