Power battery management system fault diagnosis method based on uncertain noise filtering

A power battery and management system technology, applied in battery/fuel cell control devices, measuring electricity, electric vehicles, etc., can solve problems such as failures of battery system sensors that cannot be detected, and achieve the effect of solving system fault diagnosis problems

Active Publication Date: 2021-07-09
JIANGNAN UNIV
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Problems solved by technology

[0007] In order to solve the problem that the existing battery fault diagnosis method cannot detect the sensor fault in the battery system, the present invention provides a power battery system fault diagnosis method based on uncertain noise filtering, the method comprising:

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  • Power battery management system fault diagnosis method based on uncertain noise filtering
  • Power battery management system fault diagnosis method based on uncertain noise filtering
  • Power battery management system fault diagnosis method based on uncertain noise filtering

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Embodiment 1

[0092] This embodiment provides a power battery management system fault diagnosis method based on uncertain noise filtering, the method is applied to a power battery system, the power battery system includes a power battery and a power battery management system, and the power battery management system Including a core temperature sensor and a surface temperature sensor for collecting the core temperature and surface temperature of the power battery; the method includes:

[0093] Step 1: According to the electrochemical mechanism of the power battery discharge process, establish the second-order Thevenin equivalent circuit model of the power battery;

[0094] Step 2: According to the heat production mechanism of the power battery, establish the thermal model of the power battery, and combine the second-order Thevenin equivalent circuit model to establish the electrothermal coupling model of the power battery system;

[0095] Step 3: Obtain the core temperature and surface tempe...

Embodiment 2

[0102] This embodiment provides a power battery management system fault diagnosis method based on uncertain noise filtering, see figure 1 , the method includes:

[0103] Step 1: According to the electrochemical mechanism of the power battery discharge process, the second-order Thevenin equivalent circuit model of the power battery is established:

[0104] The second-order Thevenin equivalent circuit diagram of the power battery is as follows figure 2 As shown, among them, U o is the voltage across the battery, U oc is the battery internal voltage, R 1 and C p1 are the electrochemical polarization internal resistance and capacitance respectively, and the voltage across them is U 1 . R 2 and C p2 are the concentration polarization resistance and capacitance respectively, and the voltage across them is U 2 . I is the discharge current. R O is the internal resistance of the battery.

[0105] According to the electrochemical mechanism of the power battery discharge pr...

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Abstract

The invention discloses a power battery management system fault diagnosis method based on uncertain noise filtering and belongs to the field of power battery fault diagnosis. The method comprises steps of establishing an electrothermal coupling model of the power battery system, expanding an output vector of the system according to a state constraint of a power battery, expanding a state vector of the system according to a fault of the power battery system, and obtaining an augmented system of the power battery system, and obtaining an estimation interval of a power battery sensor fault by using a holosymmetric multi-cell Kalman filtering method, judging whether the power battery management system has a fault according to upper and lower bounds of fault estimation, and if so, determining a fault type and fault time according to a result. Compared with an existing fault diagnosis method for a state-constraint-free system, the fault diagnosis method is advantaged in that the system state constraint is expanded to the system output vector, and a fault diagnosis problem of the system with the state constraint is solved.

Description

technical field [0001] The invention relates to a fault diagnosis method of a power battery management system based on uncertain noise filtering, and belongs to the field of fault diagnosis of a power battery management system. Background technique [0002] As people pay more and more attention to fuel consumption and carbon emissions, power batteries have gradually become the most promising chemical energy storage power source due to their high energy density, low self-discharge rate and long life, and are widely used in power transmission and distribution, renewable All aspects of energy storage fields such as energy grid connection, auxiliary services, distributed micro-grid, and electric vehicle charging and swapping. But at the same time, with the continuous improvement of the energy and power density of power batteries, the safety and reliability of batteries have become the most concerned issues of battery energy storage systems. [0003] Therefore, a corresponding b...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/367G01R35/02G01K15/00B60L58/10B60L58/24
CPCG01R31/367G01R35/02G01K15/007B60L58/10B60L58/24Y02T10/70
Inventor 王子赟占雅聪王艳辛娇杨纪志成
Owner JIANGNAN UNIV
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