Unlock instant, AI-driven research and patent intelligence for your innovation.

Evaluation method for operation life of energy storage power station

A technology for operating life and energy storage power stations, applied in neural learning methods, artificial life, biological neural network models, etc., can solve the problems of uncertainty in prediction results, affecting the reliability and accuracy of life prediction, and achieve guaranteed accuracy effect on stability

Active Publication Date: 2022-02-25
绍兴建元电力集团有限公司
View PDF8 Cites 0 Cited by
  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0010] However, due to factors such as time-varying uncertainties, individual differences, and measurement, it is easy to cause uncertainty in the prediction results of multiple prediction processes based on data-driven life prediction methods, which will directly affect the reliability and accuracy of life prediction.

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

Examples

Experimental program
Comparison scheme
Effect test

Embodiment Construction

[0081] The present invention will be further described below in combination with specific embodiments.

[0082] It should be understood that the specific embodiments of the present invention are only used to illustrate the spirit and principles of the present invention, not to limit the scope of the present invention.

[0083] In the embodiment according to the present invention, as a simplified simulated energy storage power station, it consists of a battery charging and discharging machine, a constant temperature and humidity box, several lithium iron phosphate batteries and a host. Among them, the lithium iron phosphate battery is placed in a constant temperature and humidity box to ensure that the experiment is carried out in the same temperature environment, and then the battery charging and discharging machine is connected through the wiring harness, and the upper host records the voltage, current, temperature and other data of the battery charging and discharging in real...

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 discloses an improved energy storage power station operation life evaluation method. The method comprises the following specific steps: performing population initialization; calculating fitness values of the particles; speed updating and position updating; ending conditions; optimizing an initial weight and a threshold value of the neural network through a particle swarm algorithm; training the neural network by adopting an exponential decay learning rate, and performing battery health state evaluation and battery residual life evaluation. Therefore, the precision and stability of the prediction result are ensured, the problems of gradient disappearance or explosion and the like are avoided, rapid convergence of the neural network is facilitated, the stability of the network is enhanced, and the learning efficiency of the network is improved.

Description

technical field [0001] The invention belongs to the technical field of new energy storage and relates to an evaluation method based on big data technology, in particular to an evaluation method for the operating life of an energy storage power station. Background technique [0002] With the proposal of the goal of carbon neutrality of the carbon peak, new energy and renewable energy are bound to accelerate into the mainstream of the energy system, and this transformative energy transition will guide major innovations in energy knowledge and technology systems, and promote basic theories and technology chains. and industry breakthroughs. New energy storage technology, solar photovoltaic technology, and solar fuel technology are the most promising technical topics. Among them, the breakthrough and popularization of large-scale energy storage technology is a strong support for the development of renewable energy. [0003] However, new energy often has the characteristics of i...

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): G06Q10/06G06Q50/06G06N3/00G06N3/04G06N3/08
CPCG06Q10/06393G06Q50/06G06N3/006G06N3/084G06N3/044
Inventor 陶鸿飞樊建伟赵洲丁梁周洋
Owner 绍兴建元电力集团有限公司