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Battery SOH evaluation model construction method and battery SOH value evaluation method

A technology for evaluation models and construction methods, applied in neural learning methods, biological neural network models, neural architectures, etc., can solve the problems of increasing the difficulty and cost of battery SOH, costing a lot of cost and time, and saving evaluation costs and reducing evaluation Difficulty, the effect of reducing the difficulty of obtaining

Pending Publication Date: 2021-07-13
NEUSOFT REACH AUTOMOBILE TECH (SHENYANG) CO LTD
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Problems solved by technology

At present, in order to evaluate SOH (State of Health, battery health), it is usually necessary to obtain a large number of experimentally calibrated SOH labels under different conditions as labels for model training data. Labeled training data takes a lot of cost and time, which increases the difficulty and cost of battery SOH evaluation

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  • Battery SOH evaluation model construction method and battery SOH value evaluation method
  • Battery SOH evaluation model construction method and battery SOH value evaluation method
  • Battery SOH evaluation model construction method and battery SOH value evaluation method

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Embodiment Construction

[0028] In order to make the purpose, technical solutions and advantages of the embodiments of the present invention clearer, the technical solutions of the present invention will be clearly and completely described below in conjunction with the embodiments. Obviously, the described embodiments are part of the embodiments of the present invention, not all of them. the embodiment. Based on the embodiments of the present invention, all other embodiments obtained by persons of ordinary skill in the art without making creative efforts belong to the protection scope of the present invention.

[0029] Batteries play an important role in people's production and life, and the performance of batteries will change with battery usage time, charge and discharge. At present, in the process of battery SOH evaluation, it takes a lot of cost and time to collect a large-scale training data with SOH labels, which increases the difficulty and cost of battery SOH evaluation. Based on this, the im...

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Abstract

The invention provides a battery SOH evaluation model construction method and a battery SOH value evaluation method, and relates to the technical field of battery evaluation, and the method comprises the steps: obtaining a first training data set and a second training data set; wherein the first training data set comprises a plurality of first battery data samples which are not labeled with SOH labels, the second training data set comprises a plurality of second battery data samples which are labeled with SOH labels, and the number of samples of the second training data set is far smaller than the number of samples of the first training data set; based on sample intervals among the first battery data samples in the first training data set, determining a plurality of sample pairs from the first training data set, and training a pre-constructed similarity model by using each sample pair; and constructing a battery SOH evaluation model according to the similarity model obtained by training and / or the second training data set. According to the invention, the difficulty and cost of battery SOH evaluation can be effectively reduced.

Description

technical field [0001] The invention relates to the technical field of battery evaluation, in particular to a method for constructing a battery SOH evaluation model and a method for evaluating a battery SOH value. Background technique [0002] With the advancement of science and technology, batteries are widely used in various industries and occupy an important position, and the performance of batteries will change with the use time of batteries, the amount of charge and discharge, and the mileage of electric vehicles. At present, in order to evaluate SOH (State of Health, battery health), it is usually necessary to obtain a large number of experimentally calibrated SOH labels under different conditions as labels for model training data. Labeled training data takes a lot of cost and time, which increases the difficulty and cost of battery SOH evaluation. Contents of the invention [0003] In view of this, the object of the present invention is to provide a method for cons...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G06F30/27G06K9/62G06N3/04G06N3/08
CPCG06F30/27G06N3/08G06N3/045G06N3/048G06N3/044G06F18/214
Inventor 郭毅
Owner NEUSOFT REACH AUTOMOBILE TECH (SHENYANG) CO LTD
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