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Vehicle lithium ion battery capacity estimation method based on surface temperature

A lithium-ion battery, surface temperature technology, applied in the application of thermometers, thermometers, measuring electrical variables, etc., can solve the problem of insufficient utilization of temperature parameters, and achieve the effect of improving reliability and accuracy

Active Publication Date: 2019-12-10
BEIJING INSTITUTE OF TECHNOLOGYGY
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Problems solved by technology

Therefore, there is an intrinsic electrochemical link between battery temperature rise and capacity decline, and the use of temperature parameters in existing lithium-ion battery capacity estimation is obviously not sufficient

Method used

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  • Vehicle lithium ion battery capacity estimation method based on surface temperature
  • Vehicle lithium ion battery capacity estimation method based on surface temperature
  • Vehicle lithium ion battery capacity estimation method based on surface temperature

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Embodiment Construction

[0025] The technical solutions of the present invention will be clearly and completely described below in conjunction with the accompanying drawings. Apparently, the described embodiments are some of the embodiments of the present invention, but not all of them. 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.

[0026] A method for estimating the capacity of a lithium-ion battery for vehicles based on the surface temperature provided by the present invention, such as figure 1 As shown, it includes two stages of offline training and real vehicle application, which are executed sequentially. The two stages specifically include:

[0027] (1), offline training phase:

[0028] (1.1), carry out battery aging experiments, and obtain battery surface temperature and battery capacity data during charging;

[0029] (1.2), calc...

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Abstract

The invention provides a vehicle lithium ion battery capacity estimation method based on surface temperature, which makes full use of battery temperature data, acquires and constructs a temperature rise curve, determines a capacity sensitive interval from the temperature rise curve, and samples a health factor sequence for capacity estimation. According to the method, the calculation burden causedby extracting specific features from the temperature signal is avoided; the temperature acquisition signals can be fully utilized to realize capacity estimation, supplement can be provided for an existing capacity estimation method based on voltage and current, the reliability and accuracy of capacity estimation in a battery management system are improved, and new hardware does not need to be added, so that the method has many beneficial effects which do not exist in the prior art.

Description

technical field [0001] The invention relates to the technical field of state estimation of lithium-ion batteries for vehicles, in particular to a capacity estimation technology for lithium-ion batteries for vehicles based on surface temperature. Background technique [0002] Lithium-ion batteries have the problem of capacity decline during use, which seriously restricts the overall performance of electric vehicles. Due to the time-consuming and energy-consuming battery capacity testing, it is difficult to obtain the real capacity of the battery in real vehicle applications, so it is necessary to embed a capacity estimation algorithm in the battery management system for estimation. The current battery management system mainly collects three signals of battery voltage, current, and temperature. Therefore, the existing capacity estimation methods often extract features related to capacity from electrical signals such as voltage and current, and train the relationship between fe...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/387G01R31/392G01R31/367G01K13/00
CPCG01K13/00G01R31/367G01R31/387G01R31/392
Inventor 熊瑞田金鹏卢家欢孙逢春
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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