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Estimation method and device of lithium battery health status, and storage medium

A state of health, lithium battery technology, applied in the direction of measuring devices, measuring electricity, measuring electrical variables, etc., can solve problems such as complex health state, poor data collection, and difficulty in adapting to quality

Active Publication Date: 2019-07-30
SICHUAN ENERGY INTERNET RES INST TSINGHUA UNIV +2
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  • Claims
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Problems solved by technology

[0006] Embodiments of the present invention provide a method, device, and storage medium for estimating the state of health of a lithium battery, so as to at least solve the technical problems in the related art that detection of the state of health of a lithium battery is relatively complicated and difficult to adapt to poor quality collected data

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  • Estimation method and device of lithium battery health status, and storage medium
  • Estimation method and device of lithium battery health status, and storage medium
  • Estimation method and device of lithium battery health status, and storage medium

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Embodiment Construction

[0034] In order to enable those skilled in the art to better understand the solutions of the present invention, the following will clearly and completely describe the technical solutions in the embodiments of the present invention in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only It is an embodiment of a part of the present invention, but not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts shall fall within the protection scope of the present invention.

[0035]It should be noted that the terms "first" and "second" in the description and claims of the present invention and the above drawings are used to distinguish similar objects, but not necessarily used to describe a specific sequence or sequence. It is to be understood that the data so used are interchangeable under appropriate c...

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Abstract

The invention discloses an estimation method and device of a lithium battery health status, and a storage medium. The method comprises the following steps: serving multiple health indicators (HI) corresponding to multiple effective charging cycles as input variables, and multiple health statuses (SOH) corresponding to multiple effective charge cycles as output variables, and training to obtain a Gaussian process regression GPR model, wherein the GPR model is obtained by using multiple groups of data through the machine learning training, each group of data in multiple groups of data comprisesthe HI of each effective charge cycle and the SOH corresponding to the HI; acquiring the HI of the to-be-detected charge cycle, inputting the HI into a GPR model, and enabling the GPR model to outputthe SOH corresponding to the HI. The technical problem that the method for detecting the health status of the lithium battery is comparatively complex and hard to adapt to the collection data with badquality in the related technology is solved.

Description

technical field [0001] The present invention relates to the field of batteries, in particular to a method, device and storage medium for estimating the state of health of a lithium battery. Background technique [0002] At present, lithium batteries are widely used in the fields of electric vehicles (EVs), hybrid electric vehicles (HEVs) and grid energy storage, and the estimation of their state of health (SOH) is a key technology in the use of lithium batteries. . [0003] There are two main categories of SOH estimation methods: model-based and data-driven. Model-based methods mainly include aging empirical models, equivalent circuit models, and electrochemical models. However, the empirical model of aging needs a lot of manpower, time and resources, and in the context of the rapid development of lithium battery manufacturing technology, the empirical model established for the old type of battery may lose its timeliness; the equivalent circuit model is characterized by mo...

Claims

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Application Information

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IPC IPC(8): G01R31/392
CPCG01R31/392
Inventor 陈振徐华池赵霁肖伟贾俊潘鸣宇孙舟袁小溪王伟贤
Owner SICHUAN ENERGY INTERNET RES INST TSINGHUA UNIV
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