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A method for estimating the state of health of lithium batteries based on mutual correction of electrothermal sensors

A health status and current sensor technology, applied in the direction of instruments, measuring electricity, and measuring electrical variables, etc., can solve the problems of difficult physical models and predict system failures, and achieve the effects of easy acquisition, improved robustness, and accurate estimation

Active Publication Date: 2022-05-24
SICHUAN UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to solve the problem that it is still difficult to establish an accurate physical model in the existing lithium battery health state estimation method, and only using a single sensor for prediction leads to the failure of the prediction system in the case of sensor failure, and proposes a Lithium battery state of health estimation method based on mutual correction of electrothermal sensors

Method used

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  • A method for estimating the state of health of lithium batteries based on mutual correction of electrothermal sensors
  • A method for estimating the state of health of lithium batteries based on mutual correction of electrothermal sensors
  • A method for estimating the state of health of lithium batteries based on mutual correction of electrothermal sensors

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[0047] refer to figure 1 and image 3 , a lithium battery state-of-health estimation method for mutual correction of electrothermal sensors, comprising the following steps:

[0048] S1: Build a state machine model:

[0049] For flexible selection of multiple models, by judging whether the sensor fails, if the current sensor fails, the model M is selected 1 Make predictions; if the temperature sensor fails, choose model M 2 Make predictions; if no sensor fails, choose model M 3 make predictions;

[0050] S2: Build a prediction model M 1 :

[0051] First, the voltage, time, temperature and other data are obtained from the lithium battery discharge process, the difference curve is calculated, and the smooth DT curve is obtained through Gaussian filtering. On this basis, the peak value is defined as the maximum value of the coordinate of the vertical axis of the curve, and the area under the peak value is the integral of the curve in a certain interval of the horizontal axi...

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Abstract

The present invention relates to the technical field of power lithium battery application, in particular to a method for estimating the state of health of a lithium battery based on mutual calibration of electrothermal sensors. For the current SOH estimation method based on data-driven lithium batteries, there is still data acquisition uncertainty, the efficiency is not high and the use of Single sensor prediction leads to the problem of predicting system failure in the case of sensor failure. The following scheme is proposed, which includes the following steps: S1: Establish a state machine model, S2: Establish a prediction model M 1 , S3: Build a predictive model M 2 , S4: Establish a joint estimation model M 3 , S5: judge. The invention enables the current sensor and the temperature sensor to perform mutual correction, and realizes the prediction of the SOH of the lithium battery when the sensor fails.

Description

technical field [0001] The invention relates to the technical field of power lithium battery applications, in particular to a method for estimating the state of health of a lithium battery with mutual correction of electrothermal sensors. Background technique [0002] Nowadays, with the increasing energy and environmental crisis, lithium batteries, as a flexible and convenient energy supply element, play an important role in many fields such as electric vehicles and power storage. However, as the number of charge and discharge increases, lithium batteries will continue to age, resulting in performance degradation. If it cannot be maintained or replaced in time, it will not only affect the operation of the lithium battery energy storage unit, but also easily lead to safety accidents. Therefore, accurate estimation of the state of health (SOH) of lithium batteries is a key technology to ensure long-term stable operation of lithium battery energy storage units. [0003] The c...

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G06F30/27G01R31/367G01R31/392
Inventor 曾昱升孟锦豪彭纪昌刘平
Owner SICHUAN UNIV
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