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Lithium ion battery SOC estimation method and system based on improved EKF

A lithium-ion battery and battery technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve problems such as errors and poor accuracy, achieve good effectiveness and accuracy, improve estimation accuracy, and avoid unsuitable working conditions sexual effect

Pending Publication Date: 2022-03-11
SHANGHAI INST OF SPACE POWER SOURCES +1
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  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] In view of the related technologies mentioned above, the inventor believes that the accuracy of the SOC estimation of the above method is poor, especially the conventional extended Kalman filter method to estimate the SOC produces huge errors in long-term shelving conditions

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  • Lithium ion battery SOC estimation method and system based on improved EKF
  • Lithium ion battery SOC estimation method and system based on improved EKF
  • Lithium ion battery SOC estimation method and system based on improved EKF

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Embodiment Construction

[0064] The present invention will be described in detail below in conjunction with specific embodiments. The following examples will help those skilled in the art to further understand the present invention, but do not limit the present invention in any form. It should be noted that those skilled in the art can make several changes and improvements without departing from the concept of the present invention. These all belong to the protection scope of the present invention.

[0065] The embodiment of the present invention discloses a method for estimating the SOC of a lithium-ion battery based on an improved EKF, such as figure 1 with figure 2 As shown, the following steps are included: Estimation step: establishing an improved extended Kalman filter, and estimating the SOC of the lithium-ion battery based on the improved extended Kalman filter.

[0066] The estimating step includes the following steps: obtaining an equation step: establishing a battery equivalent circuit ...

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Abstract

The invention provides a lithium ion battery SOC estimation method and system based on an improved EKF, and the method comprises the following steps: an estimation step: building an improved extended Kalman filter, and estimating the SOC of a lithium ion battery based on the improved extended Kalman filter; and a monitoring step: reflecting the performance and the state of the lithium ion battery by using the estimated SOC, so that the lithium ion battery safely executes a task. The improved extended Kalman filter is used for estimating the SOC of the lithium ion battery, good effectiveness and accuracy are achieved, the defect that errors of conventional extended Kalman filter are large in the long-time shelving working condition is overcome, and certain robustness is achieved.

Description

technical field [0001] The present invention relates to the technical field of state prediction of lithium-ion batteries, in particular to a method and system for estimating the SOC of lithium-ion batteries based on improved EKF. Background technique [0002] Lithium-ion batteries are lighter and smaller than other types of rechargeable batteries, and have longer cycle life and higher power and energy density, so they are widely used in fields such as electric vehicles. The battery management system is used to monitor the performance and status of the battery in real time to ensure that it can meet the needs of the vehicle throughout its life. A reasonable battery management system can use the battery more efficiently and for a longer period of time. As one of the core parameters of the battery management system, accurate estimation of SOC is crucial. SOC is defined as the direct ratio between the current battery power and the maximum capacity, which not only can intuitivel...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/387
CPCG01R31/387
Inventor 付诗意解晶莹罗伟林吕桃林闵凡奇吴磊罗承东黄嘉烨刘新伟王婷戚頔邵雷军刘辉
Owner SHANGHAI INST OF SPACE POWER SOURCES