CN111506977A - Power battery modeling method - Google Patents
Power battery modeling method Download PDFInfo
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- CN111506977A CN111506977A CN201911269331.4A CN201911269331A CN111506977A CN 111506977 A CN111506977 A CN 111506977A CN 201911269331 A CN201911269331 A CN 201911269331A CN 111506977 A CN111506977 A CN 111506977A
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Abstract
The invention discloses a modeling method of a power battery, which comprises the steps of obtaining the dynamic charging performance and the dynamic discharging performance of the battery; extracting model parameters during battery charging and model parameters during battery discharging; the simulation method is used for modeling according to model parameters of battery charging and discharging, the model respectively calls the discharging parameters and the charging parameters of the battery according to the positive and negative of the exciting current, different performances of the simulation battery under the charging and discharging conditions are simulated without adding extra calculated amount, the performance of the power battery under the dynamic working condition is simulated, the simulation precision is effectively improved, the modeling workload is reduced, meanwhile, the modeling work is simple and easy to operate, and the related development work can be rapidly developed.
Description
Technical Field
The invention relates to a power battery modeling method, which is suitable for the technical field of battery modeling.
Background
The power battery is one of core components of a new energy automobile, and modeling of the power battery is generally needed in the fields of vehicle model building, battery performance prediction, battery management system development and the like. How to rapidly build a power battery model on the premise of ensuring the quality, ensure the simulation precision and improve the simulation efficiency is a problem concerned by manufacturers of new energy vehicles, power batteries and battery management systems.
In the existing battery model, the RC equivalent circuit model is most widely applied, the measure generally adopted is to extract a parameter model based on test data, the application model simulates the dynamic performance of the battery, the difference of the charging and discharging performance of the power battery is generally ignored in the simulation process, and although the processing method reduces the calculated amount and the complexity of the model, the dynamic simulation precision of the power battery is affected.
Disclosure of Invention
The invention aims to provide a power battery modeling method, which distinguishes the charging and discharging performance of a battery and improves the simulation precision on the premise of not increasing the complexity and the calculated amount of a model.
The technical solution for realizing the purpose of the invention is as follows: a power battery modeling method, comprising:
acquiring the dynamic charging performance and the dynamic discharging performance of the battery;
extracting model parameters during battery charging and model parameters during battery discharging;
and carrying out simulation according to the model parameters of the charging and discharging of the battery.
Further, the specific method for acquiring the dynamic charging performance parameter and the dynamic discharging performance parameter of the battery is as follows:
determining a plurality of different current multiplying powers and working temperatures of the battery to be tested according to the actual working condition of the battery;
combining a plurality of different current multiplying powers and working temperatures and testing the batteries respectively;
and acquiring the dynamic charging performance and the dynamic discharging performance of the battery under different test states.
Further, the specific method for acquiring the charging performance and the discharging performance of the battery is as follows: and acquiring the dynamic charging performance number of the battery by adopting a plurality of pulse charging methods, and acquiring the dynamic discharging performance of the battery by adopting a multi-pulse discharging method.
Further, the specific method for extracting the model parameters during charging and discharging of the battery includes: and extracting charging performance parameters and discharging performance parameters of the battery under different temperature and current multiplying power tests by using the characteristic curve and the equivalent circuit model of the battery.
Further, the specific method for performing simulation according to the model parameters of battery charging and discharging is as follows:
constructing an equivalent circuit model, and setting the current to be positive when the battery is discharged and negative when the battery is charged;
judging whether a charging model parameter or a discharging model parameter is currently used according to the positive and negative of the exciting current;
and simulating the battery through the charging parameters or the discharging parameters.
Further, the specific method for simulating the battery through the charging parameter or the discharging parameter is as follows: and if the parameters of the charging model are the charging parameters, modeling the charging of the battery, and if the parameters of the discharging model are the discharging parameters, modeling the discharging of the battery.
Compared with the prior art, the invention has the remarkable advantages that: according to the invention, the discharge parameters and the charge parameters of the battery are respectively called by the model according to the positive and negative of the excitation current, different performances of the battery under the charge-discharge conditions are simulated without adding extra calculation amount, the performance of the power battery under the dynamic working condition is simulated, the simulation precision is effectively improved, the modeling workload is reduced, and meanwhile, the modeling work is simple and easy to operate, and the related development work is favorably and rapidly developed.
Drawings
In order to more clearly illustrate the embodiments of the present invention or the technical solutions in the prior art, the drawings needed to be used in the description of the embodiments of the present invention or the prior art are briefly introduced below, it is obvious that the drawings in the following description are only embodiments of the present invention, and for those skilled in the art, other drawings can be obtained according to the provided drawings without creative efforts.
Fig. 1 is a schematic diagram of the workflow structure of the present invention.
Detailed Description
With reference to fig. 1, a power battery modeling method includes the following steps:
step one, determining a plurality of different current multiplying powers (multiplying power 1, multiplying power 2, … and multiplying power n) and working temperatures (temperature 1, temperature 2, … and temperature m) of a battery to be tested according to the actual working condition of the battery; combining a plurality of different current multiplying powers and working temperatures and testing the battery respectively, specifically as follows:
placing the battery in a constant temperature box, setting the temperature to be equal to 1, keeping the temperature unchanged, and respectively measuring the charging dynamic performance and the discharging dynamic performance of the battery by using the current multiplying power 1;
keeping the temperature unchanged, and finishing the dynamic measurement of charging and discharging of all multiplying powers at the temperature of 1 by using current multiplying powers of 2, 3, … and n; and adjusting the temperature of the constant temperature box by analogy, repeating the steps at the temperature of 2, 3, … and m respectively, and completing the test under all conditions.
And acquiring the dynamic charging performance number of the battery by adopting a plurality of pulse charging methods, and acquiring the dynamic discharging performance of the battery by adopting a multi-pulse discharging method. The pulse width can be adjusted according to requirements, long-time rest is needed between pulses, the rest time is generally more than or equal to one hour, and the method can simultaneously obtain the dynamic response characteristic and the static characteristic of the battery in one test.
And secondly, extracting charging model parameters and discharging model parameters of the battery under different temperature and current multiplying power tests by using a characteristic curve and an equivalent circuit model of the battery, and according to the battery performance obtained through the tests, respectively extracting the charging model parameters and the discharging model parameters of the battery under specified temperature and current multiplying power by using a Parameter evaluation tool (Parameter evaluation tool) provided by MAT L AB and by using the characteristic curve and the equivalent circuit model based on simulink (parameters under unmeasured intermediate temperature and discharging multiplying power are obtained by adopting an interpolation method), wherein the equivalent circuit model comprises a voltage source, an equivalent internal resistance and an RC loop, the number of the RC loop can be increased or reduced according to the requirement of simulation precision, and besides, other circuit elements such as impedance and the like do not need to be additionally added in the model, namely Parameter values such as Em, R0, R1, C1, R2, C2, R3 and C3 shown in FIG. 1.
Constructing an equivalent circuit model through the extracted charging model parameters and the discharging model parameters, and setting the current of the battery to be positive during discharging and negative during charging;
judging whether a charging model parameter or a discharging model parameter is currently used according to the positive and negative of the exciting current;
and calling the charging model parameters or the discharging model parameters according to the modeling requirements to realize modeling, simulating the output characteristics of the battery under the condition of changing temperature and current, and obtaining a high-precision simulation model for distinguishing the charging and discharging characteristics.
The invention can simulate the performance of the power battery under the dynamic working condition without increasing the complexity and the calculated amount of the model, simulate the average error of 2mV and the maximum error of 36mV of the output voltage, effectively improve the simulation precision and reduce the modeling workload
The above description is only for the preferred embodiment of the present invention, but the scope of the present invention is not limited thereto, and any changes or substitutions that can be easily conceived by those skilled in the art within the technical scope of the present invention are included in the scope of the present invention. Therefore, the protection scope of the present invention shall be subject to the protection scope of the claims.
Claims (6)
1. A power battery modeling method is characterized by comprising the following steps:
acquiring the dynamic charging performance and the dynamic discharging performance of the battery;
extracting model parameters during battery charging and model parameters during battery discharging;
modeling is performed according to model parameters of battery charging and discharging.
2. The modeling method of the power battery according to claim 1, wherein the specific method for obtaining the dynamic charging performance parameter and the dynamic discharging performance parameter of the battery is as follows:
determining a plurality of different current multiplying powers and working temperatures of the battery to be tested according to the actual working condition of the battery;
combining a plurality of different current multiplying powers and working temperatures and testing the batteries respectively;
and acquiring the dynamic charging performance and the dynamic discharging performance of the battery under different test states.
3. The power battery modeling method according to claim 2, wherein the specific method for obtaining the charging performance and the discharging performance of the battery is as follows: and acquiring the dynamic charging performance number of the battery by adopting a plurality of pulse charging methods, and acquiring the dynamic discharging performance of the battery by adopting a multi-pulse discharging method.
4. The modeling method of a power battery according to claim 1, wherein the specific method for extracting the model parameters during charging and discharging of the battery is as follows:
and extracting the parameters of a charging model and the parameters of a discharging model of the battery under different temperature and current multiplying power tests by using the characteristic curve and the equivalent circuit model of the battery.
5. The power battery modeling method according to claim 1, wherein the specific method for modeling according to the model parameters of battery charging and discharging is as follows:
constructing an equivalent circuit model, and setting the current to be positive when the battery is discharged and negative when the battery is charged;
judging whether a charging model parameter or a discharging model parameter is currently used according to the positive and negative of the exciting current;
the battery is modeled by a charging parameter or a discharging parameter.
6. The power battery modeling method according to claim 5, wherein the specific method for modeling the battery through the charging parameter or the discharging parameter is as follows: and calling the charging model parameters or the discharging model parameters according to the modeling requirements to realize modeling.
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Cited By (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113253131A (en) * | 2021-05-17 | 2021-08-13 | 蜂巢能源科技有限公司 | Method and device for determining charging and discharging performance of battery core, storage medium and electronic equipment |
| CN113378403A (en) * | 2021-06-28 | 2021-09-10 | 中国第一汽车股份有限公司 | Simulation test modeling method, system, test method, device and storage medium |
Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014036527A1 (en) * | 2012-08-30 | 2014-03-06 | Texas Instruments Incorporated | Method and apparatus for charging a battery with globally minimized integral degradation for predefined charging duration |
| CN110208704A (en) * | 2019-04-29 | 2019-09-06 | 北京航空航天大学 | A kind of lithium battery modeling method and system based on voltage delay effect |
-
2019
- 2019-12-11 CN CN201911269331.4A patent/CN111506977A/en active Pending
Patent Citations (2)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2014036527A1 (en) * | 2012-08-30 | 2014-03-06 | Texas Instruments Incorporated | Method and apparatus for charging a battery with globally minimized integral degradation for predefined charging duration |
| CN110208704A (en) * | 2019-04-29 | 2019-09-06 | 北京航空航天大学 | A kind of lithium battery modeling method and system based on voltage delay effect |
Non-Patent Citations (3)
| Title |
|---|
| 熊瑞;何洪文;丁银;: "HEV用锂离子电池动态模型参数辨识方法研究" * |
| 陆文祺;张成涛;王佳奇;左红明;: "基于simulink的车载电池模型的建模与仿真" * |
| 黄锡昌;宗志坚;陈承鹤;查鸿山;: "基于Modelica的电动汽车电池建模与仿真" * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113253131A (en) * | 2021-05-17 | 2021-08-13 | 蜂巢能源科技有限公司 | Method and device for determining charging and discharging performance of battery core, storage medium and electronic equipment |
| CN113253131B (en) * | 2021-05-17 | 2022-08-30 | 蜂巢能源科技股份有限公司 | Method and device for determining charging and discharging performance of battery core, storage medium and electronic equipment |
| WO2022242653A1 (en) * | 2021-05-17 | 2022-11-24 | 蜂巢能源科技股份有限公司 | Method and apparatus for determining charging/discharging performance of battery cell, storage medium, and electronic device |
| CN113378403A (en) * | 2021-06-28 | 2021-09-10 | 中国第一汽车股份有限公司 | Simulation test modeling method, system, test method, device and storage medium |
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