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Method for estimating health state of power battery

A battery health status and health status technology, applied in the direction of measuring electricity, measuring electrical variables, measuring devices, etc., can solve the problems of low precision and difficulty in realizing power battery health status estimation, and achieve high precision and strong fitting performance Effect

Inactive Publication Date: 2018-08-24
GUILIN UNIV OF ELECTRONIC TECH
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AI Technical Summary

Problems solved by technology

[0009] What the present invention aims to solve is the problem that the estimation of the state of health of the power battery of the existing electric vehicle is difficult to realize and the accuracy is not high, and a method for estimating the state of health of the power battery is provided

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  • Method for estimating health state of power battery
  • Method for estimating health state of power battery
  • Method for estimating health state of power battery

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Embodiment Construction

[0026] In order to make the object, technical solution and advantages of the present invention clearer, the present invention will be further described in detail below in combination with specific examples and with reference to the accompanying drawings.

[0027] A method for estimating the state of health of a power battery, such as figure 1 As shown, its specific steps are as follows:

[0028] Step 1: Collect battery cycle charging and discharging aging test voltage, current and time. The charging and discharging aging experiment of the battery is carried out in a constant current mode.

[0029] Carry out a cycle charge and discharge test on the battery, and collect the voltage V, current I, and time t data of each cycle until the end of the cycle. The condition for stopping the battery cycle charging and discharging is: the battery state of health defined by capacity is lower than 80%. The expression of the state of health of the battery defined by capacity is:

[0030]...

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Abstract

The invention discloses a method for estimating the health state of a power battery. The method comprises steps of acquiring the constant-current charging voltage V, current I and time t of a batteryto obtain charging capacity Q, establishing a V-Q relationship curve, acquiring a capacity increment curve peak value and peak position information, establishing a RBF neural network, training a RBF neural network model by a particle swarm optimization algorithm, and estimating the health state of the battery by using the generated RBF neural network. The method establishes a mapping relationshipamong the constant-current charging capacity increment curve peak value, the peak position and the health state of the battery by means of a data driving mode without establishing an equivalent circuit of the electric vehicle power battery, thereby improving estimation accuracy and realizing online real-time estimation for the overall estimation of a battery pack.

Description

technical field [0001] The invention relates to the technical field of power batteries, in particular to a method for estimating the state of health of a power battery. Background technique [0002] Lithium-ion power batteries are widely used in electric vehicles, power tools, base station backup power and other fields. As one of the most important parameters in the battery management system, battery state of health (SOH) reflects the aging of the battery due to ambient temperature, charge-discharge cut-off voltage, charge-discharge rate, charge-discharge depth, shelving conditions, and operating conditions. A series of accidents such as spontaneous combustion and explosion of electric vehicles are due to insufficient monitoring of battery health. Therefore, accurately grasping the SOH of the battery pack can ensure the charging and discharging performance of the battery pack, improve the estimation accuracy of the battery state of charge, provide a basis for its own detect...

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Application Information

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IPC IPC(8): G01R31/36
CPCG01R31/367G01R31/392
Inventor 张向文侯少阳党选举伍锡如任风华赵学军王子民莫太平
Owner GUILIN UNIV OF ELECTRONIC TECH
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