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Lithium-ion battery peak power prediction method considering thermal effect

A lithium-ion battery, peak power technology, applied in the direction of measuring electricity, measuring devices, measuring electrical variables, etc., can solve the problem of inaccurate peak power, achieve the effect of accurate battery peak power and battery life protection

Active Publication Date: 2022-05-27
HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL +1
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  • Summary
  • Abstract
  • Description
  • Claims
  • Application Information

AI Technical Summary

Problems solved by technology

[0004] The present invention is to solve the inaccurate problem of the peak power obtained by the existing electrochemical model

Method used

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  • Lithium-ion battery peak power prediction method considering thermal effect
  • Lithium-ion battery peak power prediction method considering thermal effect
  • Lithium-ion battery peak power prediction method considering thermal effect

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specific Embodiment approach 1

[0099] Specific implementation mode 1: refer to figure 1 and figure 2 Specifically describing this embodiment, the method for predicting the peak power of a lithium-ion battery considering the thermal effect described in this embodiment includes the following steps:

[0100] Step 1. According to the detected current, terminal voltage and internal temperature of the lithium-ion battery during charging and discharging, a simplified electrochemical model of the lithium-ion battery is established;

[0101] Step 2, performing parameter identification on the simplified electrochemical model of the lithium-ion battery to obtain identification parameters;

[0102] Step 3. Obtain the internal variables of the lithium-ion battery according to the identification parameters;

[0103] Step 4. According to the set discharge time length and the internal variables of the lithium-ion battery, the terminal voltage of the lithium-ion battery cell, the internal temperature of the battery at di...

specific Embodiment approach 2

[0105] Embodiment 2: This embodiment further describes the method for predicting the peak power of a lithium-ion battery considering the thermal effect described in Embodiment 1. In this embodiment, in step 1, the simplified electrochemical model of the lithium-ion battery is: :

[0106]

[0107] In the formula, U app is the terminal voltage of the lithium-ion battery, U p and U n are the positive and negative open circuit potentials, respectively, y surf and x surf are the lithium ion concentration on the solid phase surface of the positive and negative electrodes, respectively, R is the ideal gas constant, F is the Faraday constant, T is the internal temperature of the lithium ion battery, c 0 is the initial lithium ion concentration in the electrolyte, m p and m n is the intermediate variable, Δc 1 and Δc 2 is the lithium ion concentration at the positive and negative current collectors relative to the initial lithium ion concentration c in the electrolyte 0 The...

specific Embodiment approach 3

[0108] Embodiment 3: This embodiment further describes the method for predicting the peak power of a lithium-ion battery considering the thermal effect described in Embodiment 2. In step 2, the identification parameters specifically include:

[0109] Battery state of charge:

[0110]

[0111] In the formula, soc(t) is the state of charge of the battery at time t, I is the external current, Q all is the discharge capacity of the single battery;

[0112] Battery open circuit voltage:

[0113] E ocv =U p [y 0 +D y (1-soc)]-U n [x 0 -D x (1-soc)] Equation 3,

[0114] In the formula, E ocv is the battery open circuit voltage, U p is the positive open circuit potential curve, U n is the negative open circuit potential curve; D y is the variation range of the amount of lithium intercalation in the positive electrode, D x is the variation range of the amount of lithium intercalation in the negative electrode, y 0 is the initial lithium intercalation amount of the pos...

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Abstract

The invention relates to a lithium-ion battery peak power prediction method considering thermal effects, and relates to the technical field of power battery systems. The invention aims to solve the problem of inaccurate peak power obtained by using an electrochemical model. Establish a simplified electrochemical model of the lithium-ion battery; perform parameter identification on the simplified electrochemical model of the lithium-ion battery to obtain identification parameters; obtain the internal variables of the lithium-ion battery; obtain the terminal voltage of the lithium-ion battery cell and the internal temperature of the battery at different times and the maximum discharge rate; between the initial discharge rate and the maximum discharge rate, find 3 critical discharge rates respectively, select the minimum value from the 3 found critical discharge rates, and combine the terminal voltage of the lithium-ion battery cell at different times The average value is used to obtain the peak power of the lithium-ion battery. It is used to obtain battery peak power, thereby preserving battery life.

Description

technical field [0001] The invention relates to a method for predicting the peak power of a lithium ion battery based on a simplified electrochemical model considering the thermal effect. It belongs to the technical field of power battery systems. Background technique [0002] The peak power of electric vehicles directly affects the acceleration and climbing performance and the ability of regenerative braking energy recovery. If the peak power is too low, the energy provided by the battery will not meet the demand, and the peak power of the battery is of great significance to improve the reliability, safety and service life of the battery. Given the unmeasurable nature of peak power, accurate prediction of it is necessary. [0003] At present, in the process of predicting the peak power of power batteries, the state of charge (SOC) and terminal discharge voltage of the battery are used as constraints, and the equivalent circuit model is used to predict the peak current, so...

Claims

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Application Information

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Patent Type & Authority Patents(China)
IPC IPC(8): G01R31/367G01R31/378
CPCG01R31/367G01R31/378
Inventor 王立欣李俊夫杨龙刘能锋于瀚卿于全庆王宇海楚潇
Owner HARBIN INST OF TECH SHENZHEN GRADUATE SCHOOL
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