SOC-SOH joint on-line real-time estimation and on-line modification method

A SOC-SOH, pre-estimation technology, applied in the direction of measuring devices, instruments, measuring electricity, etc., can solve problems such as lithium battery equivalent circuit model parameter drift, solid electrolyte interface film thickening, electrode activity reduction, etc.

Active Publication Date: 2017-07-04
CHENGDU UNIVERSITY OF TECHNOLOGY
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Problems solved by technology

[0007] After repeated charging and discharging of lithium batteries, the cumulative effect of side reactions is reflected in the reduction of electrode activity and the thickening of the solid electrolyte interface film, which causes the drift of the parame

Method used

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  • SOC-SOH joint on-line real-time estimation and on-line modification method
  • SOC-SOH joint on-line real-time estimation and on-line modification method
  • SOC-SOH joint on-line real-time estimation and on-line modification method

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Embodiment

[0086] Such as Figure 1 to Figure 15 Shown, the steps about SOC and SOH joint online estimation and online correction method in the present invention are carried out as follows:

[0087] S1, at different constant temperatures, conduct battery SOC-OCV charge and discharge experiments to obtain the characteristic curve of SOC-OCV, find out the most suitable empirical formula according to the curve, and calculate the characteristic curve of 18650 lithium battery (such as figure 2 Shown) the best empirical formula is:

[0088]

[0089] Then the influence of temperature on the characteristic curve is corrected, and the correction formula is:

[0090] OCV(SOC(t),T(t))=OCV 0 (SOC(t))+T(t)OCV corr (SOC(t))

[0091] OCV in the above formula 0 (SOC(t)) is the relationship between SOC-OCV at 0°C, T(t) is the temperature, the unit is K, OCV corr (SOC(t)) is the temperature correction factor.

[0092] S2. At the same time, the initial coulombic efficiency of the lithium battery...

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Abstract

The invention discloses a SOC-SOH joint on-line real-time estimation and on-line modification method, the method comprises an SOC hardware pre-estimation module and a lithium battery equivalent-circuit parameter correction module, wherein the SOC hardware pre-estimation module utilizes a Hall current sensor to convert a heavy current signal into a low voltage signal, noise filtering is performed on the signal through a band-pass filter, the filtered signal is transmitted to an RC integrator to indirectly realize the integral for the current signal, and an integral signal acquired by an ADC is transmitted to an MCU chip to correct; the lithium battery equivalent-circuit parameter correction module comprises a square-wave pulse switch current source and a controllable electronic load, the square-wave pulse switch current source or the controllable electronic load is utilized to perform charge or discharge test on the lithium battery, the ADC is utilized to acquire terminal voltage of a battery pack, and according to the input response of charge or discharge curve, parameters of a battery equivalent model in a charge-discharge process are corrected. According to the invention, the method overcomes a circuit model parameter correction problem and realizes SOC-SOH real-time accurate on-line joint estimation.

Description

technical field [0001] The present invention relates to the technical field of lithium batteries, and mainly relates to a 18650 commercial lithium battery management system, in particular to an SOC-SOH joint online real-time estimation and online correction method. Background technique [0002] Lithium batteries are used as power batteries for electric vehicles due to their high energy density, low self-discharge current, and long service life. But at the same time, because the lithium battery cannot be charged and discharged excessively, otherwise it will cause irreversible damage to the lithium battery. Therefore, how to quickly and accurately determine the working state of the lithium battery is one of the key technologies of the lithium battery management system (LBMS, Lithium Battery Management System). And the performance of the system directly affects the running quality of the battery electric vehicle. [0003] The two most important states in the state of the lith...

Claims

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Application Information

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IPC IPC(8): G01R31/36
CPCG01R31/367G01R31/374G01R31/3842G01R31/392
Inventor 刘明哲何明富蒋鑫柳炳琦秦辉
Owner CHENGDU UNIVERSITY OF TECHNOLOGY
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