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Power battery dual-temperature estimation method based on nonlinear electric heating model

A power battery, non-linear technology, applied in the field of power battery dual temperature estimation, can solve the problems of the error between the estimated result and the actual value, the accuracy of the result is not high, the noise and interference statistical characteristics of the power battery system are difficult to obtain, etc., so as to improve the estimation Accuracy, the effect of improving accuracy

Active Publication Date: 2022-05-31
JIANGNAN UNIV
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  • Abstract
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AI Technical Summary

Problems solved by technology

[0003] The working environment of the power battery is complex, and it is easily affected by various noises during operation. Most of the current state estimation methods for the temperature of the power battery assume that the noise and interference conform to a certain probability distribution. However, the noise and interference in the actual power battery system Disturbance statistics are difficult to obtain, so the results obtained by this type of state estimation method are not very accurate
At the same time, the power battery system is a nonlinear system, and in the existing estimation scheme for the power battery temperature, in order to reduce the computational complexity, the processing method of establishing a linear electrothermal model is usually adopted, so there is a certain error between the estimated result and the actual value, and the estimated Accuracy needs to be further improved

Method used

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  • Power battery dual-temperature estimation method based on nonlinear electric heating model
  • Power battery dual-temperature estimation method based on nonlinear electric heating model
  • Power battery dual-temperature estimation method based on nonlinear electric heating model

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Embodiment 1

[0088] This embodiment provides a dual temperature estimation method for power batteries based on a nonlinear electrothermal model, see figure 1 , the method includes:

[0089] Step1: Establish a nonlinear electrothermal model of the power battery;

[0090]

[0091] where x k =[x 1,k ,x 2,k ] T =[T c,k , T s,k ] T is the state variable, T c,k and T s,k respectively represent the core temperature and surface temperature of the battery at time k, u k =[Q gen,k , T e,k ] T is the input matrix at time k, Q gen Indicates the heating power of the battery core; T e,k Indicates the ambient temperature at time k, Represents unknown but bounded perturbation noise; Represents unknown but bounded measurement noise; A and B are the parameter matrices of the system; y k+1 is the output variable, the function h(x k+1 ) is the measurement function of the nonlinear electrothermal model;

[0092] Step2: Use Stirling interpolation to expand the measurement function in the...

Embodiment 2

[0099] This embodiment provides a dual temperature estimation method for power batteries based on a nonlinear electrothermal model, see figure 1 , the method includes:

[0100] Step 1: According to the electrochemical mechanism of the power battery, establish the equivalent circuit model of the power battery;

[0101] According to the electrochemical mechanism of the power battery, the establishment figure 2 The equivalent circuit of the power battery shown, according to the equivalent circuit of the power battery, the following equation is obtained:

[0102]

[0103] Among them, R 1 and C p1 Respectively, the electrochemical polarization internal resistance and capacitance of the power battery, R 1 and C p1 When the two are connected in parallel, the voltage across them is U 1 ; 2 and C p2 Respectively, the concentration polarization resistance and capacitance of the power battery, R 2 and C p2 When the two are connected in parallel, the voltage across them is U...

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Abstract

The invention discloses a power battery dual-temperature estimation method based on a nonlinear electric heating model, and belongs to the technical field of power battery state estimation. The method comprises the steps of building a nonlinear electric heating model of the power battery, expanding the nonlinear model by utilizing Stirling interpolation, building a linear electric heating model, determining a temperature constraint condition, building the linear electric heating model with the temperature constraint condition, and realizing temperature estimation of the power battery by utilizing a holosymmetric polytope Kalman filtering method. According to the method, the nonlinear electric heating model close to a real power battery system is established, the temperature constraint condition is added, the constraint condition of the system is fully utilized, and the precision of power battery temperature estimation is further improved.

Description

technical field [0001] The invention relates to a dual temperature estimation method for a power battery based on a nonlinear electrothermal model, and belongs to the technical field of power battery state estimation. Background technique [0002] Power batteries have become the most promising energy storage power source due to their advantages such as long life, low self-discharge rate, and high energy density, and are widely used in various aspects of the energy storage field. The continuous expansion of the application field of power batteries puts forward higher requirements on the performance of batteries. Safety and reliability issues are the most critical issues of battery energy storage systems, and the operating temperature of power batteries largely reflects the performance of battery energy storage systems. work situation. Therefore, in order to make it work in a normal working state at all times, it is necessary to detect the working temperature of the power bat...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01K13/00
CPCG01K13/00Y02T10/70
Inventor 王子赟占雅聪王艳陈宇乾纪志成霍雷霆
Owner JIANGNAN UNIV