Method and device for estimating health state of lithium ion battery

A battery state of health, lithium-ion battery technology, applied in the field of battery parameter research, can solve problems such as research lag

Pending Publication Date: 2022-06-24
STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST +1
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  • Claims
  • Application Information

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Problems solved by technology

[0003] At present, the battery management system (Battery Management System, BMS) charge and discharge protection, balance management, state of charge (State of Charge, SOC) estimation and other functions are gradually improved, while the estimation of the battery state of health (State Of Health, SOH) started late, Research is relatively lagging behind, so there is an urgent need for a method that can accurately estimate the state of health of lithium-ion batteries

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  • Method and device for estimating health state of lithium ion battery
  • Method and device for estimating health state of lithium ion battery
  • Method and device for estimating health state of lithium ion battery

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Embodiment Construction

[0042] In order to solve the technical problem of the lack of a method for accurately estimating the state of health of a lithium ion battery in the prior art, the present application discloses a method and device for estimating the state of health of a lithium ion battery through the following embodiments.

[0043] The first embodiment of the present application discloses a method for estimating the state of health of a lithium-ion battery, see figure 1 As shown in the schematic diagram of the workflow, the method for estimating the state of health of the lithium-ion battery includes:

[0044] Step S1, according to the iterative formula of the Kalman filter algorithm, determine the initial value of the system state, and determine the state of health of the lithium-ion battery as a state variable.

[0045] Further, the initial value of the system state includes an initial health state, an initial error covariance and a noise variance, wherein the noise variance includes a syst...

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Abstract

The invention relates to the technical field of battery parameter research, and discloses a lithium ion battery health state estimation method and device, and the method comprises the steps: firstly determining a system state initial value according to a Kalman filtering algorithm iterative formula, then building a linear equation of a priori state, determining an error covariance, and carrying out the estimation of the health state of a lithium ion battery; further acquiring ohmic resistance of the lithium ion battery after the current cycle, determining Kalman gain, constructing a system state updating formula, determining a battery health state estimated value of the lithium ion battery after the current cycle, and updating error covariance; and finally, estimating the health state of the lithium ion battery after the next cycle based on a system state updating formula. According to the invention, based on the Kalman filtering algorithm, the measured ohmic resistance is subjected to noise reduction and filtering, random interference in the measurement process is eliminated, and the estimation precision is effectively improved.

Description

technical field [0001] The present application relates to the technical field of battery parameter research, and in particular, to a method and device for estimating the state of health of a lithium-ion battery. Background technique [0002] Lithium-ion batteries are accompanied by factors such as the dissolution of internal electrolytes, the consumption of active materials, and the internal side reactions of batteries during the cycle of use, which lead to continuous deterioration of battery performance and greatly reduce the reliability of battery power supply systems. Accurate estimation of the state of health of lithium-ion batteries plays an important role in battery system balance control and diagnostic maintenance. [0003] At present, the functions of battery management system (Battery Management System, BMS) charge and discharge protection, balance management, and state of charge (State of Charge, SOC) estimation are gradually improving, while battery state of healt...

Claims

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Application Information

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IPC IPC(8): G01R31/392
CPCG01R31/392
Inventor 尹康涌陶风波梁伟黄浩声朱孟周林元棣李虎成黄哲忱刘翌许栋栋
Owner STATE GRID JIANGSU ELECTRIC POWER CO ELECTRIC POWER RES INST
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