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Lithium battery life prediction system based on intelligent network connection

A technology of life prediction and life prediction model, which is applied in the direction of prediction, secondary batteries, circuits, etc., can solve the problems of poor charge and discharge efficiency, and achieve the effect of accurate time lapse

Active Publication Date: 2021-04-09
BEIJING INSTITUTE OF TECHNOLOGYGY
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  • Application Information

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Problems solved by technology

Existing batteries, whether they are lead-acid batteries or lithium batteries, are limited by the number of charge cycles and have extremely poor charge and discharge efficiencies at unfavorable temperatures

Method used

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  • Lithium battery life prediction system based on intelligent network connection

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Embodiment Construction

[0024] The embodiments described below by referring to the figures are exemplary only for explaining the present invention and should not be construed as limiting the present invention.

[0025] Embodiments of the present invention: as figure 1 As shown, the present invention proposes a lithium battery life prediction system based on intelligent network connection for new energy vehicles, including,

[0026] The lithium battery is provided with a first temperature sensor inside and a second temperature sensor outside; specifically, the first temperature sensor is used to detect the temperature inside the battery cell, that is, the internal temperature of the lithium battery, and the second temperature sensor It is used to detect the external temperature of the lithium battery, that is, the ambient temperature of the lithium battery.

[0027] The capacity calculation unit is connected to the lithium battery and is used to calculate the power of the lithium battery in a fully c...

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Abstract

The invention discloses a lithium battery life prediction system based on intelligent network connection. The system is used for a new energy automobile. A first temperature sensor is arranged inside a lithium battery, and a second temperature sensor is arranged outside the lithium battery; a capacity calculation unit is connected with the lithium battery and is used for calculating the electric quantity of the lithium battery in a fully charged state; a controller is electrically connected with the lithium battery, the first temperature sensor, the second temperature sensor and the capacity calculation unit; the controller is used for acquiring a detection result of the first temperature sensor, a detection result of the second temperature sensor and a calculation result of the capacity calculation unit; a remote server is in network connection with the controller; and a service life prediction model is arranged in the remote server, and is used for predicting the service life of the lithium battery according to the detection result of the first temperature sensor, the detection result of the second temperature sensor and the calculation result of the capacity calculation unit, and feeding back the prediction result to the corresponding controller. According to the invention, the service life of the lithium battery can be predicted.

Description

technical field [0001] The invention relates to the technical field of lithium battery life prediction, in particular to an intelligent network-based lithium battery life prediction system. Background technique [0002] The battery is an important component in the car, not only to store recovered energy, but also to provide energy when the electric motor is started. [0003] The battery feed is the focus of research in the prior art. Existing batteries, whether they are lead-acid batteries or lithium batteries, are limited by the number of charge cycles and have extremely poor charge and discharge efficiency at unsuitable temperatures. In my country, the distribution in the north-south direction is relatively wide, and the temperature difference is relatively large, especially in winter. In the process of specific use, how to predict the service life of lithium batteries is one of the important problems to be solved in this field. Contents of the invention [0004] The ...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/382G06Q10/04H01M10/48
CPCG06Q10/04G01R31/382H01M10/486Y02E60/10
Inventor 李建威杨青青岑威王程衣丰艳胡东海李贺
Owner BEIJING INSTITUTE OF TECHNOLOGYGY
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