Charging management system and method based on deep learning

A deep learning and charging management technology, applied in neural learning methods, charging stations, system integration technology, etc., can solve problems such as inability to grow rapidly

Active Publication Date: 2021-05-18
博格华纳新能源(襄阳)有限公司
View PDF8 Cites 2 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

However, charging facilities are limited by parking spac

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
  • Charging management system and method based on deep learning
  • Charging management system and method based on deep learning
  • Charging management system and method based on deep learning

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0050] The technical solutions of the present invention will be clearly and completely described below in conjunction with specific embodiments. Apparently, the described embodiments are only some of the embodiments of the present invention, not all of them. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without creative efforts fall within the protection scope of the present invention.

[0051] see figure 1 , a charging management system based on deep learning, characterized in that it includes a charging capability execution management unit 1 and a charging capability training optimization unit 2, and the charging capability execution management unit 1 is connected to the charging capability training optimization unit 2;

[0052] The charging capacity training optimization unit 2 is used to process the collected charging station power supply and distribution information, charging facility 13 capacity...

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 charging management, and discloses a charging management system and method based on deep learning, and the system comprises a charging capability execution management unit and a charging capability training optimization unit; the charging capability execution management unit is connected with the charging capability training optimization unit. The charging capability training optimization unit generates a charging power distribution instruction according to a pre-trained deep learning time sequence prediction algorithm model in combination with the actual charging capacity of the charging facility system of the charging station and the charging demand quantity of the to-be-charged electric vehicle; and the charging capability execution management unit controls the electric energy to be distributed to each charging facility according to the charging power distribution instruction, so that the charging facilities charge the to-be-charged electric vehicle through the charging terminal. According to the charging management system and method based on deep learning provided by the invention, the continuously optimized management control model is established by using deep learning, so that the charging facility management system has energy supply for dynamically distributing charging power, and the utilization efficiency of the charging facility is improved.

Description

technical field [0001] The invention relates to the technical field of charging management, in particular to a charging management system and method based on deep learning. Background technique [0002] There are a large number of existing charging facilities and a large charging capacity, but once the charging facilities are built, the charging output interface and parking space are relatively fixed, and are also affected by the connected power supply capacity. Due to the mobility of charged electric vehicles, the number of charged electric vehicles connected to charging facilities, the time required for charging and the required charging capacity are all uncertain, it is often difficult to find a parking lot during peak hours, and vehicles need to line up for charging and wait For a long time, the charging facilities will be idle and the utilization rate is not high during low peak hours; sometimes, even if the charging facilities are fully charged and the output is workin...

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
IPC IPC(8): G06Q10/04G06Q10/06G06Q50/06G06N3/08G16Y10/35G16Y20/30G16Y40/20G16Y40/35B60L53/60B60L53/66
CPCG06Q10/04G06Q10/06315G06Q50/06G06N3/08G16Y10/35G16Y20/30G16Y40/20G16Y40/35B60L53/60B60L53/66Y02T10/70Y02T10/7072Y02T90/12Y02T90/16Y04S10/50Y02E40/70
Inventor 潘非孙玉鸿戴珂康勇
Owner 博格华纳新能源(襄阳)有限公司
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