Lithium ion battery state-of-charge dynamic assessment and long-acting prediction fusion method

A battery state of charge and lithium-ion battery technology, which is applied in the field of dynamic evaluation and long-term prediction of lithium-ion battery state of charge, can solve the problems of battery state of charge detection accuracy and adaptability, and can not reproduce adjustments, etc., to achieve Effects of improving adaptability and evaluation accuracy, improving accuracy, and improving evaluation prediction accuracy

Active Publication Date: 2018-11-23
GUILIN UNIV OF ELECTRONIC TECH
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Problems solved by technology

[0004] The present invention aims at the problem that the existing battery SOC estimation method relies on fixed model parameters and cannot reproduce and adjust with the actual working conditions of the battery, thereby reducing the detection accuracy and adaptability of the battery state of charge, and provides a lithium-ion battery state of charge dynamic Evaluation and Long-term Prediction Fusion Method

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  • Lithium ion battery state-of-charge dynamic assessment and long-acting prediction fusion method
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  • Lithium ion battery state-of-charge dynamic assessment and long-acting prediction fusion method

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[0037] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific examples and with reference to the accompanying drawings.

[0038] see figure 1 , a fusion method for dynamic evaluation and long-term prediction of the state of charge of lithium-ion batteries, which needs to go through the following processes:

[0039] (1) Real-time collection of lithium-ion battery terminal voltage, charge and discharge current, temperature, charge and discharge times and other battery working status data, as the input of the SOC evaluation and prediction algorithm.

[0040] (2) According to the charge-discharge curve of the lithium-ion battery, the relationship between the open-circuit voltage and the SOC of the lithium-ion battery is fitted, and this is used as the basis for detecting the SOC by the open-circuit voltage method, and the corresponding SOC value is...

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Abstract

The present invention discloses a lithium ion battery state-of-charge dynamic assessment and long-acting prediction fusion method. The method comprises the steps of: employing the expanded Kalman filter method to perform assessment of the lithium ion battery state of charge to obtain a lithium ion battery state of charge SOCKEF; employing an echo state neural network to perform prediction of the lithium ion battery state of charge to obtain a lithium ion battery state of charge SOCESN; and finally performing weighing fusion of the lithium ion battery state of charge SOCKEF and the lithium ionbattery state of charge SOCESN to obtain a final lithium ion battery state of charge SOC. The lithium ion battery state-of-charge dynamic assessment and long-acting prediction fusion method improves the adaptation and the assessment precision of a current battery SOC detection method to overcome the restriction of SOC dynamic assessment of a single method, specifically selects a fusion method based on model and data drive and takes the consideration of SOC detection assessment dynamic timeliness and long-term long-acting prediction demands.

Description

technical field [0001] The invention relates to the technical field of battery state-of-charge evaluation, in particular to a fusion method for dynamic evaluation and long-term prediction of state-of-charge of lithium-ion batteries. Background technique [0002] The power battery is a key component of new energy vehicles, and its health status and management level are related to the efficiency and safe operation of the vehicle. The detection and estimation of battery state of charge (SOC) is the basis of battery thermal management, balance management and safety and reliability management. Accurate SOC estimation can balance the difference between single cells, optimize charge and discharge strategies, prevent overheating and overcharge and overdischarge. Battery state estimation can make full and reasonable use of the battery, prolong the service life of the battery, and provide data basis for the energy management of the vehicle. Therefore, battery state estimation is of g...

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
Inventor 张鑫范兴明蔡茂王超高琳琳
Owner GUILIN UNIV OF ELECTRONIC TECH
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