[go: up one dir, main page]

CN113761738A - Method for optimizing charging system based on simulation - Google Patents

Method for optimizing charging system based on simulation Download PDF

Info

Publication number
CN113761738A
CN113761738A CN202111028415.6A CN202111028415A CN113761738A CN 113761738 A CN113761738 A CN 113761738A CN 202111028415 A CN202111028415 A CN 202111028415A CN 113761738 A CN113761738 A CN 113761738A
Authority
CN
China
Prior art keywords
charging
optimized
simulation
charging system
voltage
Prior art date
Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
Pending
Application number
CN202111028415.6A
Other languages
Chinese (zh)
Inventor
徐春辉
陈杰
杨山
李载波
项海标
Current Assignee (The listed assignees may be inaccurate. Google has not performed a legal analysis and makes no representation or warranty as to the accuracy of the list.)
Huizhou Liwinon Energy Technology Co Ltd
Original Assignee
Huizhou Liwinon Energy Technology Co Ltd
Priority date (The priority date is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the date listed.)
Filing date
Publication date
Application filed by Huizhou Liwinon Energy Technology Co Ltd filed Critical Huizhou Liwinon Energy Technology Co Ltd
Priority to CN202111028415.6A priority Critical patent/CN113761738A/en
Publication of CN113761738A publication Critical patent/CN113761738A/en
Pending legal-status Critical Current

Links

Images

Classifications

    • GPHYSICS
    • G06COMPUTING; CALCULATING OR COUNTING
    • G06FELECTRIC DIGITAL DATA PROCESSING
    • G06F30/00Computer-aided design [CAD]
    • G06F30/20Design optimisation, verification or simulation

Landscapes

  • Engineering & Computer Science (AREA)
  • Physics & Mathematics (AREA)
  • Theoretical Computer Science (AREA)
  • Computer Hardware Design (AREA)
  • Evolutionary Computation (AREA)
  • Geometry (AREA)
  • General Engineering & Computer Science (AREA)
  • General Physics & Mathematics (AREA)
  • Secondary Cells (AREA)

Abstract

本发明公开了一种基于仿真优化充电制度的方法,包括以下步骤:建立电芯的电化学仿真模型;将标准充电制度设置为电化学仿真模型的仿真充电制度,得到在标准充电制度下仿真的充电容量;将待优化充电制度设置为电化学仿真模型的仿真充电制度,其中,待优化充电制度的充电容量大于标准充电制度的充电容量;截取电化学模型使用待优化充电制度充电至等于标准充电制度的充电容量时的电流/电压,即为优化后充电制度的截止电流/电压,截止电流/电压对应的充电制度为优化后充电制度。相对于现有技术,本发明不需要制作电芯样本,通过标准充电制度与待优化充电制度对充电制度进行优化,节约了研发制样和测试成本。

Figure 202111028415

The invention discloses a method for optimizing a charging regime based on simulation, comprising the following steps: establishing an electrochemical simulation model of a battery cell; setting a standard charging regime as the simulated charging regime of the electrochemical simulation model, and obtaining a simulated charging regime under the standard charging regime Charging capacity; set the charging regime to be optimized as the simulated charging regime of the electrochemical simulation model, where the charging capacity of the charging regime to be optimized is greater than the charging capacity of the standard charging regime; intercept the electrochemical model and use the charging regime to be optimized to charge to equal to the standard charging The current/voltage at the charging capacity of the system is the cut-off current/voltage of the optimized charging system, and the charging system corresponding to the cut-off current/voltage is the optimized charging system. Compared with the prior art, the present invention does not need to make cell samples, and optimizes the charging regime through the standard charging regime and the charging regime to be optimized, thereby saving R&D sample preparation and testing costs.

Figure 202111028415

Description

Method for optimizing charging system based on simulation
Technical Field
The invention belongs to the technical field of battery cell simulation, and particularly relates to a method for optimizing a charging system based on simulation.
Background
The battery cell is widely applied to industries such as electric vehicles, 3C and the like, the product development iteration speed is high, the charging system of the existing lithium battery widely adopts a constant-current constant-voltage charging scheme, and in the constant-current constant-voltage charging process, a constant current is applied to charge, namely a constant-current charging stage; after the voltage of the battery rises to the charging cut-off voltage, keeping the charging voltage unchanged, and entering a constant voltage charging stage; and then, the charging process is finished after the charging current is reduced to the cut-off current, and in order to meet the customer requirements, such as shortening the charging time, the charging system needs to be optimized.
At present, the method for optimizing the charging system is to carry out optimization through experimental tests, a battery cell sample needs to be manufactured and tested, the whole research and development period is long, and the research, development, sample preparation and test cost is high.
Disclosure of Invention
The invention mainly aims to provide a method for optimizing a charging system based on simulation, wherein a standard charging system and a charging system to be optimized are respectively used as the charging system of an electrochemical model, and the optimized charging system is obtained through the standard charging system and the charging system to be optimized.
In order to achieve the purpose, the invention adopts the following technical scheme:
the invention discloses a method for optimizing a charging system based on simulation, which comprises the following steps:
step one, establishing an electrochemical simulation model of a battery cell;
setting the standard charging system as a simulation charging system of the electrochemical simulation model to obtain the charging capacity under the simulation of the standard charging system;
setting the charging system to be optimized as the simulation charging system of the electrochemical simulation model, wherein the cut-off current/voltage in the charging system to be optimized is an item to be determined, and the charging capacity corresponding to the charging system to be optimized is larger than that corresponding to the standard charging system;
and step four, intercepting the current/voltage corresponding to the charging system to be optimized when the charging capacity is equal to that of the standard charging system, namely the cut-off current/voltage of the optimized charging system, wherein the charging system corresponding to the cut-off current/voltage is the optimized charging system.
Specifically, the charging capacity corresponding to the standard charging system is used as a reference standard of the charging system to be optimized. The standard charging regime may vary according to customer requirements or standard requirements.
Specifically, the cutoff current/voltage value to be determined of the charging schedule to be optimized may be set to any value while ensuring that the charging capacity corresponding to the charging schedule to be optimized is higher than the charging capacity corresponding to the standard charging schedule.
Specifically, the charging system to be optimized sets the cutoff current/voltage value to be determined according to the charging capacity corresponding to the standard charging system.
Specifically, when high-voltage charging is required to shorten the charging time, the charging voltage in the charging regime to be optimized may be set to be larger than the charging voltage of the standard charging regime.
Specifically, the standard charging system and the charging system to be optimized are both step charging.
Specifically, probes of voltage, current and capacity are arranged in the charging simulation process, and the change of the voltage, the current and the capacity along with time is monitored. The method comprises the steps that a probe of voltage, current and capacity is arranged in a charging simulation process, so that the change of the voltage, the current and the capacity along with time under a charging system can be monitored in real time, an electrochemical simulation model is used for charging under the charging system to be optimized, and when the capacity probe monitors that the charging capacity is carried out to the charging capacity corresponding to the standard charging system, the monitoring values of the voltage probe and the current probe are the cut-off current/voltage of the optimized charging system.
Specifically, a corresponding electrochemical simulation model is constructed based on design parameters of a cell design table, including material parameters, structural parameters and overall cell performance.
Specifically, the electrochemical simulation model can be drawn by UG, soildworks and COMSOL.
Specifically, the electrochemical simulation model can be drawn by UG or soildworks software, and then the 3D model is led into the COMSOL for calculation, or the 3D model can be directly built in the COMSOL for calculation.
The invention at least comprises the following beneficial effects:
compared with the traditional method for optimizing the charging system through experimental tests, the method has the advantages that the electrochemical simulation model is established to simulate the charging of the battery cell under the charging system, the optimized charging system is obtained through the standard charging system and the charging system to be optimized, sample preparation is not needed, the cost for research, development, sample preparation and testing is saved, and the research and development period is shortened.
Drawings
Fig. 1 is an overall flow chart of the simulation-based optimized charging system of the present invention.
Detailed Description
The present invention will be further described below with reference to the accompanying drawings for easier understanding, but the present invention can be implemented in various forms, and is not limited to the embodiments described herein and does not constitute any limitation to the present invention.
The present invention will be described in further detail with reference to specific embodiments.
Example 1
As shown in fig. 1, the present embodiment provides a method for simulating and optimizing a charging system, which includes the following steps:
(1) establishment of electrochemical simulation model
And constructing a corresponding cell electrochemical simulation model in simulation software based on cell design table design parameters including material parameters, structural parameters and cell overall performance (including capacity, upper and lower limit voltages and the like), wherein the simulation software comprises UG, soildworks and COMSOL.
The cell electrochemical simulation model can be drawn by using UG/soildworks and other 3D drawing software, and then the 3D model is led into the COMSOL for calculation, or the 3D model can be directly built in the COMSOL for calculation.
(2) Simulation of standard charging system
Based on the established cell electrochemical simulation model, a standard charging system is set as a simulation charging system in software, and probes of voltage, current and capacity are additionally arranged and used for monitoring the change of the voltage, the current and the capacity of the cell electrochemical simulation model along with time in the simulation process of the standard charging system.
In this example, the standard charging system is 3.6A CC4.45V CV 200mA, the corresponding capacity under the simulation of the standard charging system is 4197mAh, and the standard charging system is 3.6ACC 4.45V CV 200mA, which means that charging is performed at a constant current of 3.6A to an off-state voltage of 4.45V, and further charging is performed at a constant voltage of 4.45V to an off-state current of 200 mA.
(3) Simulation of charging system to be optimized
Based on the established cell electrochemical simulation model, the charging system to be optimized is set as a simulation charging system in software, and probes of voltage, current and capacity are added for monitoring the change of the voltage, the current and the capacity of the cell electrochemical simulation model along with time in the simulation process of the charging system to be optimized so as to intercept the cut-off current/voltage.
This example requires shortening of the charging time by high-voltage charging, that is, 3.6A CC 4.48V CV xxC is used for the charging schedule to be optimized, and 3.6A CC 4.48V CV xxC represents charging to the cutoff voltage of 4.48V at a constant current of 3.6A, and further charging to the cutoff current of xxC at a constant voltage of 4.48V. However, the cutoff current is unknown, and in order to make the capacity corresponding to the charging regime to be optimized larger than the standard group charging capacity, the cutoff current xxC is set to 200mA for calculation. It will be appreciated that other currents may be used for cutoff current xxC in order to ensure that the corresponding capacity under the charging regime is greater than the standard pack capacity.
The capacity of the obtained battery cell electrochemical model corresponding to simulation under a charging system to be optimized of 3.6A CC 4.48V CV 200mA is 4244 mAh.
(4) Off current/voltage determination
And (3) charging the cell electrochemical model according to a to-be-optimized charging system of 3.6A CC 4.48V CV 200mA, and intercepting the charging current of the cell electrochemical model when the capacity of the cell electrochemical model reaches 4197mAh, wherein the charging current is 382 mA. That is, when the charge capacity of the simulation of the optimized charging system is equal to the charge capacity of the simulation of the standard charging system, the charge current is 382mA, and the charge current is the cut-off current of the optimized charging system.
(5) Optimized post-charging regime
According to the obtained cut-off current, the optimized charging system is 3.6A CC 4.48V CV382 mAh.
Compared with the traditional method for optimizing the charging system through experimental tests, the method for optimizing the charging system through experimental tests has the advantages that the electrochemical simulation model is established to simulate the charging of the battery cell under the charging system, the optimized charging system is obtained through the standard charging system and the charging system to be optimized, sample preparation is not needed, the cost for research and development and sample preparation and testing is saved, and the research and development period is shortened.
Example 2
The difference from embodiment 1 is the charging system, and the standard charging system and the charging system to be optimized in this embodiment are step charging.
In this example, the standard charging system is 5A CC 4.35V CV 4A; 4A CC4.45V CV 200mA, the corresponding capacity of the simulation of the cell electrochemical model under the standard charging system is 5750 mA. 5A CC 4.35V CV 4A in a standard charging system; 4A CC4.45V CV 200mA indicates that 5A constant current charging is performed until the cutoff voltage is 4.35V, 4.35V constant voltage charging is performed until the cutoff current is 4A, 4A constant current charging is performed until the cutoff voltage is 4.45V, and 4.45V constant voltage charging is performed until the cutoff current is 200 mA;
in the embodiment, the charging system to be optimized is 5A CC 4.35V CV 4A; 4A CC4.45V CV 0.8C; 0.8C CC 4.48V CV xxC. 5A CC 4.35V CV 4A in a charging system to be optimized; 4A CC4.45V CV 0.8C; 0.8C CC 4.48V CV xxC indicates charging to an off-state voltage of 4.35V with a constant current of 5A, further charging to an off-state current of 4A with a constant voltage of 4.35V, further charging to an off-state voltage of 4.45V with a constant current of 4A, further charging to an off-state current of 0.8C with a constant voltage of 4.45V, further charging to an off-state voltage of 4.48V with a constant current of 0.8C, and further charging to an off-state current of xxC with a constant voltage of 4.48V.
In order to ensure that the capacity corresponding to the charging system to be optimized is larger than that corresponding to the standard charging system, xxC can be set to be 200mA, namely, the cell electrochemical simulation model is set to be 5A CC 4.35V CV 4A in the charging system to be optimized; 4A CC4.45V CV 0.8C; the corresponding capacity under the simulation of 0.8C CC 4.48V CV 200mA is 7273 mAh.
The electrochemical model of the cell is according to 5A CC 4.35V CV 4A; 4A CC4.45V CV 0.8C; and charging by using a charging system to be optimized of 0.8C CC 4.48V CV 200mA, and intercepting the charging current of the cell electrochemical model when the capacity of the cell electrochemical model reaches 5750mAh, wherein the charging current is 399 mA. That is, when the charge capacity simulated by the optimized charging system is equal to the charge capacity simulated by the standard charging system, the charge current is 399mA, and the charge current is the cut-off current of the optimized charging system. Therefore, the optimized charging system is 5A CC 4.35V CV 4A; 4A CC4.45V CV 0.8C; 0.8C CC 4.48V CV399 mA.
The rest is the same as the embodiment 1, and the description is omitted.
The foregoing is a more detailed description of the present application in connection with specific embodiments thereof, and it is not intended that the present application be limited to the specific embodiments thereof. It will be apparent to those skilled in the art from this disclosure that many more simple derivations or substitutions can be made without departing from the inventive concepts herein.

Claims (10)

1. A method for optimizing a charging system based on simulation is characterized by comprising the following steps:
step one, establishing an electrochemical simulation model of a battery cell;
setting a standard charging system as a simulation charging system of the electrochemical simulation model to obtain the simulated charging capacity under the standard charging system;
setting the charging system to be optimized as a simulation charging system of the electrochemical simulation model, wherein the charging capacity of the charging system to be optimized is larger than that of the standard charging system;
and step four, intercepting the current/voltage of the electrochemical model when the charging system to be optimized is charged to be equal to the charging capacity of the standard charging system, namely the cut-off current/voltage of the optimized charging system, wherein the charging system corresponding to the cut-off current/voltage is the optimized charging system.
2. The method for optimizing a charging profile based on simulation of claim 1, wherein the charging capacity corresponding to the standard charging profile is used as a reference for the charging profile to be optimized.
3. The method for optimizing a charging regime based on simulation of claim 2, wherein the cutoff current/voltage value to be determined for the charging regime to be optimized can be set to an arbitrary value while ensuring that the charging capacity corresponding to the charging regime to be optimized is higher than the charging capacity corresponding to the standard charging regime.
4. The method for optimizing a charging profile based on simulation according to claim 3, wherein the charging profile to be optimized sets an off current/voltage value to be determined according to a charging capacity corresponding to the standard charging profile.
5. The method of optimizing a charging regime based on simulation of claim 4, wherein when high-voltage charging is required to shorten the charging time, the charging voltage in the charging regime to be optimized can be set to be larger than the charging voltage of the standard charging regime.
6. The method of claim 1, wherein the standard charging regime and the charging regime to be optimized are both step charging.
7. The method for optimizing a charging system based on simulation as claimed in claim 1, wherein a voltage probe, a current probe and a capacity probe are provided in the electrochemical simulation model, and the change of voltage, current and capacity of the electrochemical simulation model with time during charging is monitored.
8. The method for optimizing a charging regime based on simulation of claim 1, wherein the design parameters of the electrochemical model comprise material parameters, structural parameters, and overall cell performance.
9. The method for optimizing a charging regime based on simulation as claimed in claim 1, wherein the electrochemical simulation model can be drawn and calculated by UG, soildworks and COMSOL.
10. The method for optimizing a charging system based on simulation as claimed in claim 9, wherein the electrochemical simulation model can be drawn by UG or soildworks software, and the drawn electrochemical model is introduced into the COMSOL for calculation, or the electrochemical model can be directly built in the COMSOL for calculation.
CN202111028415.6A 2021-09-02 2021-09-02 Method for optimizing charging system based on simulation Pending CN113761738A (en)

Priority Applications (1)

Application Number Priority Date Filing Date Title
CN202111028415.6A CN113761738A (en) 2021-09-02 2021-09-02 Method for optimizing charging system based on simulation

Applications Claiming Priority (1)

Application Number Priority Date Filing Date Title
CN202111028415.6A CN113761738A (en) 2021-09-02 2021-09-02 Method for optimizing charging system based on simulation

Publications (1)

Publication Number Publication Date
CN113761738A true CN113761738A (en) 2021-12-07

Family

ID=78792757

Family Applications (1)

Application Number Title Priority Date Filing Date
CN202111028415.6A Pending CN113761738A (en) 2021-09-02 2021-09-02 Method for optimizing charging system based on simulation

Country Status (1)

Country Link
CN (1) CN113761738A (en)

Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101388477A (en) * 2008-09-28 2009-03-18 广州丰江电池新技术有限公司 Fast charging method
CN103985915A (en) * 2014-04-30 2014-08-13 上海卡耐新能源有限公司 Battery self-adaptive quick charging method
CN107729607A (en) * 2017-09-12 2018-02-23 合肥国轩高科动力能源有限公司 Method for testing charging and discharging temperature distribution of large lithium iron phosphate cell
US20200177009A1 (en) * 2017-07-28 2020-06-04 Murata Manufacturing Co., Ltd. Charging device and charging method
AU2020102165A4 (en) * 2020-09-08 2020-10-15 Nanjing Forestry University Measurement method of SOC variation and charging power conversion coefficient when charging power battery
CN112083335A (en) * 2020-09-28 2020-12-15 国联汽车动力电池研究院有限责任公司 Quick charging method and system for vehicle storage battery
CN112769201A (en) * 2021-03-18 2021-05-07 维沃移动通信有限公司 Charging method, charging device, electronic device, and readable storage medium
CN113285132A (en) * 2021-07-22 2021-08-20 天津力神电池股份有限公司 Method for making lithium ion battery step charging system and application

Patent Citations (8)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN101388477A (en) * 2008-09-28 2009-03-18 广州丰江电池新技术有限公司 Fast charging method
CN103985915A (en) * 2014-04-30 2014-08-13 上海卡耐新能源有限公司 Battery self-adaptive quick charging method
US20200177009A1 (en) * 2017-07-28 2020-06-04 Murata Manufacturing Co., Ltd. Charging device and charging method
CN107729607A (en) * 2017-09-12 2018-02-23 合肥国轩高科动力能源有限公司 Method for testing charging and discharging temperature distribution of large lithium iron phosphate cell
AU2020102165A4 (en) * 2020-09-08 2020-10-15 Nanjing Forestry University Measurement method of SOC variation and charging power conversion coefficient when charging power battery
CN112083335A (en) * 2020-09-28 2020-12-15 国联汽车动力电池研究院有限责任公司 Quick charging method and system for vehicle storage battery
CN112769201A (en) * 2021-03-18 2021-05-07 维沃移动通信有限公司 Charging method, charging device, electronic device, and readable storage medium
CN113285132A (en) * 2021-07-22 2021-08-20 天津力神电池股份有限公司 Method for making lithium ion battery step charging system and application

Non-Patent Citations (2)

* Cited by examiner, † Cited by third party
Title
孙占宇: "基于电化学模型的车用锂离子电池安全快速充电算法", 汽车安全与节能学报, vol. 8, no. 01, pages 97 - 101 *
张慧等: "提高铅蓄电池性能的充电方法", 蓄电池, vol. 51, no. 01, pages 15 - 18 *

Similar Documents

Publication Publication Date Title
CN106526486B (en) A kind of lithium battery life-span model building method
CN109877064B (en) Method for rapidly screening self-discharge of parallel batteries
CN110244234A (en) A kind of battery accelerated life test method
CN107861075B (en) Method for determining SOP of power battery
CN112198444B (en) Method for predicting cycle life of lithium ion battery based on expansion degree of pole piece
CN104617339B (en) Lithium ion battery matching method
CN105301510B (en) A battery aging parameter identification method
CN112858941B (en) Acceleration test and service life evaluation method for lithium iron phosphate power battery
CN113533988B (en) Long-term circulation capacity attenuation analysis method for lithium ion battery
CN108417916B (en) Determination of battery sorting parameters considering co-evolution of battery inconsistency and aging
CN107020251A (en) The screening technique of battery and battery pack
CN112083336B (en) Lithium ion battery pack electrochemical model parameter acquisition method
CN112816809B (en) Power battery simulation method and system for whole vehicle working condition test
CN113125974B (en) Method and device for detecting lithium precipitation of battery
CN111036584A (en) A kind of retired battery sorting method and device
CN115327413B (en) Working method of battery pack simulator and battery pack simulator
CN111744827A (en) Method for sorting lithium battery cores
CN112186278B (en) Lithium ion battery matching method
CN103353575A (en) Test device and test method for measuring correspondence between OCV and SOC
CN116148686A (en) Self-discharge screening method and device for lithium ion battery
CN106707185B (en) A kind of flexible packing lithium ion secondary battery performance estimating method
CN115166553A (en) Nondestructive separation method for lithium ion battery electrode diffusion process
CN114076899B (en) Method, device, equipment, system and medium for estimating battery life in steps
CN116111219B (en) Method for quickly charging battery without lithium precipitation
CN113761738A (en) Method for optimizing charging system based on simulation

Legal Events

Date Code Title Description
PB01 Publication
PB01 Publication
SE01 Entry into force of request for substantive examination
SE01 Entry into force of request for substantive examination
RJ01 Rejection of invention patent application after publication
RJ01 Rejection of invention patent application after publication

Application publication date: 20211207