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Method for realizing online prediction of maximum permissible power of lithium ion battery

A lithium-ion battery, the largest allowable technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of difficulty in ensuring accuracy and uniform description, and achieve the effect of ensuring accuracy

Active Publication Date: 2018-08-03
ZHEJIANG UNIV
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

The maximum allowable power is the invisible state of lithium-ion batteries. It is restricted by the coupling of factors such as working conditions, temperature, state of charge, and attenuation. It cannot be described uniformly by mathematical expressions. The establishment of the corresponding relationship requires a large number of experiments, and the accuracy Difficult to guarantee

Method used

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  • Method for realizing online prediction of maximum permissible power of lithium ion battery
  • Method for realizing online prediction of maximum permissible power of lithium ion battery
  • Method for realizing online prediction of maximum permissible power of lithium ion battery

Examples

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Effect test

example 1

[0033] Example 1: Select current SOC=14%, U 2 = 0V as the initial value of the state variable, calculate the maximum charging power at this time, take the maximum transient charging current (75A) as the initial value of the test current, use the simulink model of the first-order equivalent circuit of the battery built, and calculate the continuous excitation of the test charge current for 10s After the terminal voltage of the battery n is the maximum number of iterations).

[0034] simulink models such as figure 2 As shown, it includes: input module 1 is used to provide real-time input current, constant module 2 is used to set the voltage U at both ends of the RC circuit respectively 2 and the initial value of the state of charge SOC, the integrator module 3 is used to calculate the voltage U across the RC circuit 2 and state of charge SOC. Auxiliary calculation module 4, used for auxiliary calculation of the measurement equation of the battery model, representing b i ....

example 2

[0038] Example 2: Select current SOC=14%, U 2 = 0V as the initial value of the state variable, calculate the maximum discharge power at this time, take the maximum transient discharge current (-75A) as the initial value of the test discharge current, use the simulink model of the first-order equivalent circuit of the battery built, and calculate the duration of the test discharge current The terminal voltage of the battery after excitation for 10s n is the maximum number of iterations);

[0039] 1) Judging the difference between the terminal voltage obtained at this time and the discharge limiting voltage 3.0V, If the difference is greater than zero, proceed to the next step;

[0040] 2) Judging the voltage difference Is it less than the iteration accuracy ε=0.05mV, the voltage difference If it is not satisfied that it is less than the iteration accuracy ε=0.05mV, proceed to the next step;

[0041] 3) The voltage difference Enter the observer, which is determined by...

example 3

[0046] Example 3: With current SOC=80%, U 2 = 0 as the initial value of the state variable, calculate the maximum charging power at this time, take the maximum transient charging current (75A) as the initial value of the test current, use the simulink model of the first-order equivalent circuit of the battery built, and calculate the continuous excitation of the test charge current for 10s After the terminal voltage of the battery n is the maximum number of iterations);

[0047] 1) Judging the difference between the terminal voltage obtained at this time and the charging limit voltage of 4.2V, If the difference is greater than zero, proceed to the next step;

[0048] 2) Judging the voltage difference Is it less than the iteration accuracy ε=0.05mV, the voltage difference If it is not satisfied that it is less than the iteration accuracy ε=0.05mV, proceed to the next step;

[0049] 3) The voltage difference Enter the observer, which is determined by the observer acco...

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Abstract

The invention discloses a method for realizing online prediction of maximum permissible power of a lithium ion battery. The method comprises the steps of: establishing a battery physical model according to charging and discharging characteristics of the lithium ion battery, and calculating a state of charge and a polarization voltage of the battery; utilizing the battery physical model to calculate a difference value between a battery terminal voltage and a battery charge and discharge limiting voltage by taking the state of charge and the polarization voltage as initial conditions and takingbattery-permissible maximum transient charging and discharging current as an initial probe current; and acquiring an increment for adjusting the probe current according to the difference value betweenthe battery terminal voltage and the battery charge and discharge limiting voltage so as to obtain a new probe current, and calculating a terminal voltage of the battery circularly by means of the battery physical model until a condition of calculating maximum permissible charge and discharge power in a current operating state is satisfied, thereby realizing online real-time prediction of a maximum power state of the lithium ion battery. The method overcomes the difficulty that the maximum permissible charge and discharge power estimation is subject to coupling constraints of working conditions, temperature, state of charge, attenuation and the like, and guarantees the estimation precision.

Description

technical field [0001] The invention relates to the technical field of charging and discharging lithium-ion batteries, in particular to a method for realizing real-time online estimation of the maximum allowable power (SOP) of lithium-ion batteries. Background technique [0002] As one of the main functions of the lithium-ion battery management system, the maximum allowable power estimation is to estimate the maximum charge and discharge power that the lithium-ion battery can use in the current working state within the limited operating current and voltage range. Energy management in cars. The maximum allowable discharge power determines the real-time acceleration characteristics of electric vehicles, and the maximum allowable charging power determines the absorption capacity of braking feedback energy. The maximum allowable power is the invisible state of lithium-ion batteries. It is restricted by the coupling of factors such as working conditions, temperature, state of ch...

Claims

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Application Information

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Patent Type & Authority Applications(China)
IPC IPC(8): G01R31/36
CPCG01R31/382
Inventor 宋晨路张静刘涌
Owner ZHEJIANG UNIV
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