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Lithium-ion battery thermal runaway classification and early warning method and early warning system

A lithium-ion battery, thermal runaway technology, applied in the direction of measuring electricity, measuring electrical variables, instruments, etc., can solve the problems of untimely early warning and response, unable to achieve early warning, etc., to accelerate application, reduce training workload, reduce The effect of training cycles

Active Publication Date: 2022-04-12
HUAZHONG UNIV OF SCI & TECH
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  • Description
  • Claims
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Problems solved by technology

However, this method can only perform fault detection on the current battery state, and cannot realize early warning, which is prone to problems of early warning and untimely response

Method used

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  • Lithium-ion battery thermal runaway classification and early warning method and early warning system
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  • Lithium-ion battery thermal runaway classification and early warning method and early warning system

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Embodiment Construction

[0032] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be described in detail below in conjunction with specific embodiments.

[0033] Here, it should also be noted that, in order to avoid obscuring the present invention due to unnecessary details, only the structures and / or processing steps closely related to the solutions of the present invention are shown in the specific embodiments, and the related Other details are not relevant to the invention.

[0034] Additionally, it should be noted that the term "comprises", "comprises" or any other variation thereof is intended to cover a non-exclusive inclusion such that a process, method, article or apparatus comprising a set of elements includes not only those elements, but also Other elements not expressly listed, or inherent to the process, method, article, or apparatus are also included.

[0035] During the long-term power supply process of lithium-io...

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Abstract

The invention provides a hierarchical early warning method and early warning system for thermal runaway of a lithium ion battery. This method uses the non-faulty battery characteristic elements to train the thermal runaway prediction ability of the prediction model composed of long short-term memory network, time convolution network and GRU neural network; then the battery characteristic elements of the battery to be monitored in the time series are input into The prediction model obtains the predicted value under the normal state at a certain moment, and then compares it with the real value corresponding to the collected moment. The greater the difference between the two, the greater the risk of battery thermal runaway. This operation not only combines their respective advantages, but also avoids the problem of excessive deviation of the coefficients trained by the respective models, thereby realizing high-precision battery thermal runaway classification detection and improving the speed and accuracy of lithium-ion battery thermal runaway warning.

Description

technical field [0001] The invention relates to the technical field of battery safety early warning, in particular to a hierarchical early warning method and early warning system for lithium-ion battery thermal runaway. Background technique [0002] In recent years, lithium-ion battery energy storage systems have been widely used in new energy grid-connected, micro-grid, smart grid and other areas. Lithium-ion batteries have broad prospects in large-scale energy storage systems due to their high energy density, high conversion efficiency, and fast response. However, with the large-scale application of lithium-ion battery energy storage systems, the safety of energy storage systems has attracted great attention. Through the statistical investigation of accidents, it is found that the thermal runaway of lithium-ion batteries due to their own chemical reactions or external influences has become the main cause of safety problems. After the thermal runaway of the lithium batter...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06K9/62G06N3/04G01R31/367G01R31/378G01R31/382
CPCG01R31/367G01R31/378G01R31/382G06N3/044G06N3/045G06F18/214
Inventor 曹元成曹志成张炜鑫
Owner HUAZHONG UNIV OF SCI & TECH
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