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Lithium battery SOP estimation method based on electrochemical model

An electrochemical and lithium battery technology, applied in the direction of measuring electricity, electric vehicles, measuring electrical variables, etc., to achieve the effects of real-time optimization of model parameters, improvement of prediction accuracy, high precision and reliability

Active Publication Date: 2021-07-13
JIANGSU UNIV
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Problems solved by technology

[0005] The purpose of the present invention is to solve the existing problems in the existing lithium battery SOP online prediction, and propose a lithium battery SOP estimation method based on an electrochemical model, and perform battery SOP estimation from the lithium ion level, with higher prediction accuracy

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  • Lithium battery SOP estimation method based on electrochemical model
  • Lithium battery SOP estimation method based on electrochemical model
  • Lithium battery SOP estimation method based on electrochemical model

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Embodiment Construction

[0019] see figure 1 , the estimation system for lithium battery SOP estimation consists of a battery parameter acquisition platform, an electrochemical model, a parameter identification system, a positive and negative electrode peak current calculation module, and a battery SOP calculation module. The output terminals of the battery parameter acquisition platform are respectively connected to the electrochemical model and The parameter identification system, the two-way interconnection between the electrochemical model and the parameter identification system, the output terminal of the electrochemical model is connected in series with the positive and negative peak current calculation module, the battery SOP calculation module and the battery SOP.

[0020] Obtain the real-time voltage U of the battery during the battery working process through the battery parameter acquisition platform r (k), real-time current I r (k) real-time data, where k represents the current moment. Th...

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Abstract

The invention discloses a lithium battery SOP estimation method based on an electrochemical model in an electric automobile, and the method comprises the steps: calculating a fitness value in a genetic algorithm according to a model voltage and a real-time voltage, finding out an optimal solid-phase diffusion coefficient of positive and negative electrode particles, calculating an optimal lithium ion concentration value of the outermost layer of the positive and negative electrode particles, solving peak charging current and discharging current limited by the optimal concentration value of lithium ions on the outermost layers of the positive and negative electrode particles, and calculating to obtain peak charging and discharging power; a lithium ion concentration limit is adopted for SOP prediction, the power capacity of a battery can be better reflected from the electrochemical principle, the method is more sensitive to the front state change of the battery, the SOP prediction of the battery under a dynamic working condition is higher in precision and reliability, the genetic algorithm is adopted for carrying out real-time parameter identification on the model, model parameters can be optimized in real time, the influence of temperature change and battery aging on a prediction result is reduced, and the prediction precision is improved.

Description

technical field [0001] The invention relates to a battery management system (BMS) in an electric vehicle, relates to a method for estimating its battery state of power (SOP), and determines the limit power of the power battery system of the electric vehicle. Background technique [0002] Compared with traditional fuel vehicles, electric vehicles use batteries as the power source, have the characteristics of less environmental pollution, low noise, and high energy utilization efficiency, and are recognized as the mainstream of future automobile development. Lithium-ion batteries, as the most advanced secondary batteries, have been widely used in electric vehicles due to their small size, light weight, high energy density, long service life, no memory effect, and environmental protection. However, lithium-ion batteries work under harsh or complicated conditions, and there are still some problems in terms of safety and efficiency. Therefore, it is of great significance to desi...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367G01R31/378G01R31/385
CPCG01R31/367G01R31/378G01R31/385Y02T10/70
Inventor 孙晓东陈琦陈龙田翔
Owner JIANGSU UNIV
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