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

Total power fuel cell air compressor dual-layer prediction control method

A fuel cell and predictive control technology, applied in fuel cells, computer control, program control, etc., can solve the problems of fuel cell net power reduction and power increase

Active Publication Date: 2019-07-30
FUZHOU UNIV
View PDF6 Cites 15 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

When the air compressor supplies too much air, although the fuel cell can fully respond, the power consumed by the air compressor will increase accordingly. Since the power consumption of the air compressor accounts for about 80% of the auxiliary power consumption of the fuel cell, it will eventually lead to The net power reduction of the battery as a whole

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
  • Total power fuel cell air compressor dual-layer prediction control method
  • Total power fuel cell air compressor dual-layer prediction control method
  • Total power fuel cell air compressor dual-layer prediction control method

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0068] The present invention will be further described below in conjunction with the accompanying drawings and embodiments.

[0069] Please refer to figure 1 , the present invention provides a double-layer predictive control method for a full-power fuel cell air compressor,

[0070] Specifically include the following steps:

[0071] Step S1: construct fuel cell cathode flow model;

[0072] Step S2 constructs a two-layer predictive control system, including an upper-level predictor and a lower-level predictive controller;

[0073] Step S3: The upper-layer predictor takes the real-time speed V(k) measured by the speed sensor as input, and predicts the vehicle speed sequence {V(k+1), V(k +2),...,V(k+10)}, through the vehicle dynamics relation, the power {P r (k+1),P r (k+2),...,P r (k+10)};

[0074] Step S4: input the power required to be provided by the fuel cell in the next ten moments into the fuel cell cathode flow model, and obtain the air flow reference value at 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 relates to a total power fuel cell air compressor dual-layer prediction control method. An upper-layer predictor computes power needed by a fuel cell automobile at a corresponding speedthrough predicting the speed in real time; an air flow needing to be output by a fuel cell air compressor is computed through putting the power needing to be provided by a fuel cell computed by the upper-layer predictor into a fuel cell cathode flow model, and used as a reference flow of a bottom-layer prediction controller. The bottom-layer prediction controller predicts the air flow needing to be output by the fuel cell air compressor according to the reference flow, and meanwhile acquires a control voltage of the air compressor, and thus control on the output flow of the air compressor is achieved, and oxygen needed by a fuel cell stack reaction is met. According to the method provided by the invention, the speed can be predicted, air quality flow needing to be output by the fuel cell air compressor can be predicted, the controller is used for controlling the output flow of the fuel cell air compressor, and the efficient and stable operation of the automobile is achieved.

Description

technical field [0001] The invention relates to the technical field of fuel cell auxiliary systems, in particular to a double-layer predictive control method for a full-power fuel cell air compressor. Background technique [0002] Fuel cells convert chemical energy into electrical energy through electrochemical reactions, and use fuel and oxygen as raw materials, and have no mechanical transmission parts, so they have the advantages of high efficiency, no noise, and no pollution. From the perspective of saving energy and protecting the ecological environment, fuel cells are the most promising power generation technology. Today, fuel cell power generation, as a new generation power generation technology, has broad application prospects, and substantial progress has been made in research as vehicle power. The main accessories of the fuel cell are air compressor, humidifier, cooler and hydrogen circulation pump, among which the air compressor is the main component of the catho...

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): G05B19/042H01M8/04992
CPCG05B19/0423G05B2219/25257H01M8/04992Y02E60/50
Inventor 王亚雄陈锦洲林飞陈家瑄
Owner FUZHOU UNIV
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

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

© 2024 PatSnap. All rights reserved.Legal|Privacy policy|Modern Slavery Act Transparency Statement|Sitemap|About US| Contact US: help@patsnap.com