Fuel cell and super-capacitor system optimization method based on road condition recognition

A technology of fuel cells and supercapacitors, applied in the field of automation

Active Publication Date: 2018-08-03
HANGZHOU DIANZI UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The power system is generally composed of proton exchange membrane fuel cells, batteries, motors and system control equipment. The key energy and power technologies of electric vehicles include battery technology, motor technology, and controller technology. Therefore, new control algorithms are developed and used to improve the efficiency of fuel cells. , is a mat

Method used

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  • Fuel cell and super-capacitor system optimization method based on road condition recognition
  • Fuel cell and super-capacitor system optimization method based on road condition recognition
  • Fuel cell and super-capacitor system optimization method based on road condition recognition

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Embodiment Construction

[0065] Take fuel cell and supercapacitor system technology as an example:

[0066] Here, the fuel cell fuel supply of the fuel cell and supercapacitor system is used as an example to describe, and the adjustment method is to control the output power of the fuel cell.

[0067] The steps of the inventive method comprise:

[0068] Step 1, establish the mechanism model of the controlled object in the fuel cell and supercapacitor system, the specific method is:

[0069] 1.1 First, according to the actual process of the fuel cell, the mechanism model of the fuel cell is established, and the transfer function is as follows:

[0070]

[0071]

[0072] Among them, E dcell (s) is the Laplace transform form of the output voltage, I(s) is the Laplace transform form of the current output current, λ e Constant gain, τ e Overall flow delay factor. m H2 The total hydrogen consumption in the fuel cell reaction, is the molecular weight of hydrogen, A FC is the area of ​​the activ...

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Abstract

The invention discloses a fuel cell and super-capacitor system optimization method based on road condition recognition. For a real-time power distribution problem between a fuel cell and a super-capacitor system in a hybrid electric vehicle, the invention provides a self-adaptive energy management strategy based on road condition recognition. The consumption of few fuels can be maximized and the power distribution is performed by use of a designed energy management controller. In order to prolong the service life of the fuel cell and reduce hydrogen consumption, key parameters are optimized ina design algorithm; a new-energy vehicle can successfully identify a current driving mode based on characteristics extracted by a designed multilayer perceptron classifier, less current fluctuation and fuel consumption and the conventional energy management control can be realized under various driving conditions when a charging state of a super-capacitor is maintained in the expected limit.

Description

technical field [0001] The invention belongs to the technical field of automation and relates to a fuel cell and supercapacitor system optimization method based on road condition identification. Background technique [0002] With the development of science and technology and the consumption of energy, it is very meaningful to change the structure of energy consumption. Therefore, new energy has been paid attention to by countries all over the world, especially in automobile energy. Due to the extensive use of non-renewable energy such as gasoline, not only It cannot be recovered in a short time, and the deteriorating environment will bring about the greenhouse effect. Therefore, new energy vehicles have emerged. Among them, the fuel cell vehicle is a very practical new energy vehicle, which uses the electricity generated by the vehicle-mounted fuel cell device as power. The car, with no waiting time to recharge, generates power through a fuel cell. The power system is gener...

Claims

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Application Information

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IPC IPC(8): G06F17/50
CPCG06F30/20
Inventor 张日东陶吉利
Owner HANGZHOU DIANZI UNIV
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