Method for observing charge and discharge state of power battery based on variable parameter model

Abstract

The invention discloses a method for observing charge and discharge state of a power battery based on a variable parameter model, and belongs to the technical field of battery performance optimizationdesign. Aiming at the problems such as large errors of the existing lithium battery model and imperfect SOC observation method, a design is provided concerning the online precise observation technique of the SOC of the lithium battery, a TS fuzzy and extended Kalman filter (TS-EKF) joint estimator based on a variable parameter second-order RC model is proposed, thereby, by using the variable parameter second-order RC model, ensuring the simplicity of the model structure at the same time while ensuring good description of charge and discharge dynamic process of the lithium battery, realizing the control of grouped energy storage batteries and ensuring safe and efficient operation of the energy storage equipment. By realizing the TS-EKF joint observation algorithm on the physical platform,and at the same time, comparing the observation result of the SOC with the existing estimator, the superiority of the TS-EKF joint estimator is confirmed. The lithium battery SOC observation method provided by the invention plays an important role on maintaining safe and efficient operation of the battery system equipment, extending the overall life cycle of the battery pack and other aspects.

Description

technical field [0001] The invention relates to the technical field of battery performance optimization design, more specifically, it relates to a method for observing charging and discharging states of a power battery based on a variable parameter model. Background technique [0002] In recent decades, electric energy storage technology has gradually become a topic of public attention, and the exploration and research and development of related technologies have continued to attract the attention of relevant institutions such as electric power, transportation, communication, and energy in various countries around the world. Electric energy storage technology also has broad development space and application prospects in many fields such as new energy vehicles, drones, and mobile phones and tablets. [0003] Among the current electric energy storage technologies, lithium-ion battery energy storage technology has become one of the fastest-growing and most promising large-scale...

AI Technical Summary

Problems solved by technology

[0005] In view of the inaccurate modeling of lithium batteries in actual use, which leads to a large deviation between the real-time observation of SOC and the actual situation, and the problem that the safe and efficient operation of energy storage equipment cannot be realized in the management and control of energy storage batteries, the purpose of this invention is to propose a method based on variable parameters According to the required accuracy, an equivalent variable parameter model with a reasonable order is designed for the model’s power battery charge and discharge state observation method. Then, based on the simulation comparison of the data model, an accurate and efficient lithium battery SOC observation method is designed. The specific scheme is as follows: A method for observing the charge and discharge state of a power battery based on a variable parameter model, comprising the following steps,

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