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Energy storing device integrated management method and energy storing device

An energy storage device and comprehensive management technology, which is applied to measuring devices, instruments, measuring electronics, etc., can solve problems such as lack of temperature collection, and achieve the effect of prolonging the service life

Active Publication Date: 2014-07-23
GMCC ELECTRONICS TECH WUXI CO LTD
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Problems solved by technology

This method is insufficient for data collection that affects life, such as the lack of temperature collection. In addition, the production process and formula parameters are not input into the system as the input layer data of the neural network, so it can only be predicted for the uniform model of a certain manufacturer, and requires The absolute consistency of the manufacturer's products, which is almost impossible to achieve

Method used

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  • Energy storing device integrated management method and energy storing device
  • Energy storing device integrated management method and energy storing device

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Embodiment Construction

[0047] Artificial neural network (ANN) is developed with reference to biological neural network. As a large-scale processing system, the human brain nervous system is a giant network composed of biological neurons. The artificial neural network is also a complex network system composed of a large number of neurons with relatively simple functions, which can imitate many basic functions and simple ways of thinking of the human brain.

[0048] Error backpropagation neural network such as figure 2 As shown, also known as BP neural network, is a feed-forward network that uses error backpropagation as its learning algorithm. The biological composition of BP neural network from input to output is: input layer, hidden layer and output layer, layer The neurons between the layers are connected to each other in a fully interconnected manner through the corresponding weight coefficients, and there is no coupling between the neurons in each layer.

[0049] like image 3 The error inve...

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Abstract

The invention discloses an energy storing device integrated management method and an energy storing device. Collected and recorded performance parameters, manufacturing process parameters and operational data of the energy storing device are input for two times, self-learning is carried out through a BP neural network, life parameters of the energy storing device are precisely predicted, and visual output and display are carried out. According to the method and the energy storing device, the conditions of the energy storing device can be displayed precisely and visually, a user can conveniently optimize and manage the energy storing device according to the parameters, the service life is prolonged, usability is improved, and guidance can be provided for manufacturers to improve the manufacturing process of the energy storing device.

Description

technical field [0001] The invention belongs to the technical field of energy storage device health management, in particular to a method for comprehensive management of energy storage devices based on accumulative metering and life prediction. Background technique [0002] At present, traditional rechargeable energy storage devices have a limited lifespan, which is directly related to the material formula, production process and working conditions of the energy storage device. For users of energy storage devices, it is urgent to know the health status and remaining life of energy storage devices in real time; for producers of energy storage devices, it is also necessary to know the usage status of their energy storage devices. Process optimization and formula optimization are carried out in combination with the material formula and production process of the energy storage device. [0003] Most rechargeable energy storage devices have different degradations due to the incre...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
Inventor 孙伟王俊华胡期峰
Owner GMCC ELECTRONICS TECH WUXI CO LTD
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