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Lithium ion battery state calculation method based on hybrid filtering

A lithium-ion battery, state calculation technology, applied in calculation, calculation model, computer-aided design, etc.

Active Publication Date: 2020-07-17
湖南经研电力设计有限公司 +1
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  • Abstract
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  • Claims
  • Application Information

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Problems solved by technology

[0003] Therefore, there is not yet a method for calculating the state of lithium-ion batteries with high reliability, good stability, and simple and convenient implementation.

Method used

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  • Lithium ion battery state calculation method based on hybrid filtering
  • Lithium ion battery state calculation method based on hybrid filtering
  • Lithium ion battery state calculation method based on hybrid filtering

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Embodiment Construction

[0075] The lithium-ion battery state calculation method based on hybrid filtering provided by the present invention comprises the following steps:

[0076] S1. Establish the second-order equivalent circuit model of the lithium battery to obtain the spatial state equation; specifically, the following model is used as the second-order equivalent circuit model of the lithium battery, and the following formula is used as the spatial discrete state equation:

[0077] Lithium battery second-order equivalent circuit model (such as figure 2 shown):

[0078] Model the voltage source with a voltage of V OC (SOC); the output current of the model is i b (k); the impedance of the model includes the first impedance, the second impedance and the third impedance connected in series; the first impedance is a resistance value of R s resistance; the second impedance is R st The resistor and capacitor values ​​are C st The capacitance of the second impedance is connected in parallel, and th...

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Abstract

The invention discloses a lithium ion battery state calculation method based on hybrid filtering. The method comprises the following steps: establishing a lithium battery second-order equivalent circuit model and obtaining a space state equation; performing online parameter identification on the second-order equivalent circuit model by adopting extended Kalman filtering to obtain an SOH estimatedvalue; estimating the SOC value of the lithium battery by adopting a sliding variable structure filtering algorithm; and correcting parameters of the hybrid filter by adopting a particle swarm optimization algorithm and obtaining an accurate SOH estimated value and an SOC estimated value of the lithium battery. The state of the battery can be estimated online in real time, and the method is high in reliability, good in stability and easy and convenient to implement.

Description

technical field [0001] The invention belongs to the field of lithium batteries, and in particular relates to a method for calculating the state of lithium ion batteries based on hybrid filtering. Background technique [0002] Lithium-ion batteries have been widely used in grid energy storage, electric vehicle power batteries and other fields due to their high energy ratio, long cycle life, low self-discharge rate and high conversion efficiency. The state of the battery mainly refers to the state of charge SOC (State of Charge) and the state of health SOH (State of Health) of the battery. Generally speaking, for state estimation methods of lithium-ion batteries, model-based methods are mostly used, and the models include electrochemical models, equivalent circuit models, and data-driven models. At present, the commonly used SOC state estimation methods are: open circuit voltage method, ampere-hour integral method, neural network method, Kalman filter method, etc. The open c...

Claims

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Application Information

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IPC IPC(8): G06F30/367G06F30/27G06N3/00G01R31/367
CPCG06N3/006G01R31/367
Inventor 罗磊鑫欧名勇陈剑张兴伟刘立洪谭丽平陈娟齐增清唐利松李达伟陈柯宇
Owner 湖南经研电力设计有限公司
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