CN112816890A - BMS battery system testing method - Google Patents
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/385—Arrangements for measuring battery or accumulator variables
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/378—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] specially adapted for the type of battery or accumulator
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- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/425—Structural combination with electronic components, e.g. electronic circuits integrated to the outside of the casing
- H01M2010/4271—Battery management systems including electronic circuits, e.g. control of current or voltage to keep battery in healthy state, cell balancing
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The embodiment of the application provides a test method of a BMS battery system, the test platform comprises the BMS battery system and charging and discharging equipment, the BMS battery system comprises a battery pack and a battery management system, the charging and discharging equipment is connected with the battery pack, the test platform further comprises a three-electrode battery cell unit based on the battery pack, and the test method comprises the following steps: setting charging and discharging equipment so that the BMS battery system works under a preset working condition; acquiring the negative electrode potential of the three-electrode cell unit; and determining that the BMS battery system generates lithium separation under the condition that the negative electrode potential of the three-electrode cell unit is less than the lithium separation potential. The technical scheme of this application adopts BMS battery system, can truly simulate the operating condition of group battery in the vehicle use, realizes carrying out dynamic monitoring to the group battery, has avoided static and dynamic difference and different battery groups to electric core to analyse the influence on lithium border, is favorable to promoting BMS battery system's development efficiency and development quality.
Description
Technical Field
The application relates to the technical field of electric vehicles, in particular to a BMS battery system testing method.
Background
Lithium batteries, because of their advantages of low pollution, high energy density, long cycle life, low self-discharge rate, etc., are widely used in electronic devices such as mobile phones, tablet computers, portable devices, etc., and in various electric vehicles such as electric automobiles and electric motorcycles, and become indispensable components in these devices or vehicles.
Lithium analysis and service life of the lithium battery are closely related to vehicle safety, and lithium analysis protection in the use process of the battery is a key factor for protecting the safety of the battery. For the development of a Battery Management System (BMS), it is necessary to ensure that the developed BMS does not generate lithium deposition during the use of a Battery pack. However, it is difficult to directly determine whether lithium deposition occurs in the battery pack, and it is also difficult to verify whether the BMS satisfies that lithium deposition does not occur during the use of the battery pack.
Disclosure of Invention
Embodiments of the present application provide a method for testing a BMS battery system to solve or alleviate one or more technical problems in the prior art.
As an aspect of an embodiment of the present application, an embodiment of the present application provides a testing method for a BMS battery system, where the testing platform includes a BMS battery system and a charging and discharging device, the BMS battery system includes a battery pack and a battery management system, the charging and discharging device is connected to the battery pack, the testing platform further includes a three-electrode cell unit based on the battery pack, and the testing method includes:
setting charging and discharging equipment so that the BMS battery system works under a preset working condition;
acquiring the negative electrode potential of the three-electrode cell unit;
and determining that the BMS battery system generates lithium separation under the condition that the negative electrode potential of the three-electrode cell unit is less than the lithium separation potential.
In some possible implementation manners, the test platform further includes an algorithm system, the algorithm system is in communication connection with both the charging and discharging device and the battery management system, and the method further includes:
adjusting parameters related to lithium separation in the algorithm system under the condition that the negative electrode potential of the three-electrode cell unit is less than the lithium separation potential so as to enable the negative electrode potential of the three-electrode cell unit to be not less than the lithium separation potential;
and updating the adjusted parameter values to a battery management system of the BMS battery system to obtain the optimized BMS battery system.
In some possible implementations, the charging and discharging device is configured to operate the BMS battery system at a preset operating condition, including:
setting charging and discharging equipment to enable the BMS battery system to work under the NEDC working condition; and/or the presence of a gas in the gas,
setting charging and discharging equipment to enable the BMS battery system to work under a long downhill feedback working condition; and/or the presence of a gas in the gas,
and setting charging and discharging equipment so that the BMS battery system works under the large-current pulse working condition.
In some possible implementations, the charging and discharging device is configured to operate the BMS battery system at a preset operating condition, including:
and setting charging and discharging equipment so that the BMS battery system works under the NEDC working condition, the long downhill feedback working condition, the large current pulse working condition and the NEDC working condition in sequence.
In some possible implementations, the actual output power of the BMS battery system is less than the maximum output power of the BMS battery system in case the BMS battery system operates at the preset operating condition.
In some possible implementations, the charging and discharging device is configured to operate the BMS battery system at a preset operating condition, including:
setting a charging and discharging device to enable a battery pack in the BMS battery system to work in a first charging mode, wherein the first charging mode comprises that the state of charge of the BMS battery system is increased to 100% from the first state of charge; and/or the presence of a gas in the gas,
setting a charging and discharging device to enable a battery pack in the BMS battery system to work in a second charging mode, wherein the second charging mode comprises the steps of discharging the battery pack in the BMS battery system from a state of charge of 100% to a second state of charge by adopting a first discharging multiplying power, and charging the battery pack in the BMS battery system to 100%; and/or the presence of a gas in the gas,
setting a charging and discharging device to enable a battery pack in the BMS battery system to work in a third charging mode, wherein the third charging mode comprises the steps of discharging the battery pack in the BMS battery system from a state of charge of 100% to a third state of charge by adopting the first discharging multiplying power, and charging the battery pack in the BMS battery system to 100%; and/or the presence of a gas in the gas,
the charging and discharging device is configured to operate the battery pack in the BMS battery system in a fourth charging mode, the fourth charging mode including discharging the battery pack in the BMS battery system from a 100% state of charge to a fourth state of charge using the first discharge rate and charging the battery pack in the BMS battery system to 100%,
wherein the first charge state is more than or equal to 50 percent and less than the second charge state and less than the third charge state and less than the fourth charge state and less than 100 percent.
In some possible implementations, the charging and discharging device is configured to operate the BMS battery system at a preset operating condition, including:
the charge and discharge devices are provided such that the battery pack in the BMS battery system operates in a first charge mode, a second charge mode, a third charge mode, and a fourth charge mode in sequence,
the first charging mode includes the state of charge of the BMS battery system being raised from a first state of charge to 100%;
the second charging mode includes discharging the battery pack in the BMS battery system from a 100% state of charge to a second state of charge using the first discharge rate and charging the battery pack in the BMS battery system to 100%;
the third charging mode includes discharging the battery pack in the BMS battery system from a 100% state of charge to a third state of charge using the first discharge rate and charging the battery pack in the BMS battery system to 100%;
the fourth charge mode includes discharging the battery pack in the BMS battery system from a 100% state of charge to a fourth state of charge using the first discharge rate, and charging the battery pack in the BMS battery system to 100%,
wherein the first charge state is more than or equal to 50 percent and less than the second charge state and less than the third charge state and less than the fourth charge state and less than 100 percent.
In some possible implementations, the first state of charge is 50% to 55%, the second state of charge is 68% to 72%, the third state of charge is 78% to 82%, and the fourth state of charge is 88% to 92%.
In some possible implementations, the first discharge rate is 1/4C to 1/2C.
In some possible implementations, the charging and discharging device is configured to operate the BMS battery system at a preset operating condition, including:
the charging and discharging equipment is arranged so that the BMS battery system works in sequence under the conditions that the state of charge of the BMS battery system is promoted to 100%, the NEDC working condition, the long downhill feedback working condition, the large current pulse working condition and the NEDC working condition, the state of charge of the BMS battery system is promoted to a fourth state of charge, the NEDC working condition, the long downhill feedback working condition, the large current pulse working condition and the NEDC working condition, the state of charge of the BMS battery system is promoted to a third state of charge, the NEDC working condition, the long downhill feedback working condition, the large current pulse working condition and the NEDC working,
wherein the third state of charge is less than the fourth state of charge is less than 100%.
In some possible implementations, the third state of charge is 78% to 82% and the fourth state of charge is 88% to 92%.
In some possible implementations, the test platform further includes a first space for accommodating the BMS battery system, the method including:
setting the temperature of the first space to a preset temperature, wherein the preset temperature comprises one of 50 ℃, 60 ℃, 70 ℃ and 80 ℃.
In some possible implementations, adjusting a parameter related to lithium deposition in the algorithm system so that the negative electrode potential of the three-electrode cell unit is not less than the lithium deposition potential includes:
in the current working condition, based on the parameter value of the parameter adjusted in the previous working condition, the parameter related to lithium separation in the algorithm system is adjusted so that the potential of the negative electrode is not less than the lithium separation potential, and the potential of the negative electrode is not less than the lithium separation potential in the previous working condition.
In some possible implementations, the parameter related to lithium deposition includes at least one of: the battery comprises a battery internal diffusion coefficient, an electrochemical coefficient, DV equation parameters, diffusion equation parameters, mass transfer equation parameters, internal resistance model parameters, charging current parameters and electrolyte diffusion coefficients.
According to the technical scheme, the BMS battery system is adopted, the working state of the battery pack in the use process of the vehicle can be truly simulated, dynamic monitoring on the battery pack is realized, whether the BMS battery system meets the function of preventing lithium analysis or not is judged through the negative electrode potential of the three-electrode battery cell unit, the influence of static and dynamic differences and different battery packs on the lithium analysis boundary of the battery cell is avoided, and the development efficiency and the development quality of the BMS battery system are favorably improved.
The foregoing summary is provided for the purpose of description only and is not intended to be limiting in any way. In addition to the illustrative aspects, embodiments, and features described above, further aspects, embodiments, and features of the present application will be readily apparent by reference to the drawings and following detailed description.
Drawings
In the drawings, like reference numerals refer to the same or similar parts or elements throughout the several views unless otherwise specified. The figures are not necessarily to scale. It is appreciated that these drawings depict only some embodiments in accordance with the disclosure and are therefore not to be considered limiting of its scope.
Fig. 1 is a schematic flow chart illustrating a lithium analysis testing method of a BMS battery system according to an embodiment of the present application;
fig. 2 is a schematic structural diagram of a test platform according to an embodiment of the present application.
Detailed Description
In the following, only certain exemplary embodiments are briefly described. As those skilled in the art will recognize, the described embodiments may be modified in various different ways, all without departing from the spirit or scope of the present application. Accordingly, the drawings and description are to be regarded as illustrative in nature, and not as restrictive.
Fig. 1 is a schematic flow chart illustrating a lithium analysis testing method of a BMS battery system according to an embodiment of the present application, and fig. 2 is a schematic structural view illustrating a testing platform according to an embodiment of the present application. The lithium analysis testing method of the BMS battery system according to the embodiment of the present application is based on a testing platform, which may include the BMS battery system 10 and the charging and discharging device 20. The BMS battery system 10 includes a battery pack 11 and a Battery Management System (BMS) 12. The charge and discharge device 20 is connected to the battery pack 11 for charging or discharging the battery pack 11. The test platform also includes a three-electrode cell unit 13 based on the battery pack 11. The test method can comprise the following steps:
s101, setting charging and discharging equipment to enable the BMS battery system to work under a preset working condition;
s102, acquiring a negative electrode potential of a three-electrode cell unit;
and S103, determining that the BMS battery system generates lithium analysis under the condition that the negative electrode potential of the three-electrode cell unit is less than the lithium analysis potential.
The BMS battery system may include a battery management system, a test module, a display module, a wireless communication module, an electrical device, a battery pack for powering the electrical device, and a collection module for collecting battery information of the battery pack. The battery management system is connected with the wireless communication module and the display module through the communication interfaces respectively, the output end of the acquisition module is connected with the input end of the battery management system, the output end of the battery management system is connected with the input end of the test module, and the test module is connected with the battery pack and the electrical equipment respectively. The battery management system can dynamically monitor the operating state of the battery pack.
The charging and discharging device 20 may include a charging and discharging cabinet 21 and a first human-machine interaction device 22, and the first human-machine interaction device 22 is connected with the charging and discharging cabinet 21. The charge and discharge cabinet 21 may be connected to the battery pack 11, and the operating state of the charge and discharge cabinet 21 may be set through the first human machine interface device 22, so that the charge and discharge cabinet 21 charges or discharges the battery pack 11, and thus, the use state of the BMS battery system in the vehicle may be simulated. For example, the charge and discharge cabinet 21 may be provided through the first human interaction device 22 so that the BMS battery system operates in an operating condition, and thus an operating state of the BMS battery system in a vehicle operating condition may be simulated. The charge and discharge cabinet 21 may be provided through the first human interaction device 22 so that the BMS battery system operates in a charged state, and thus, the operating state of the BMS battery system under a vehicle charging condition may be simulated.
The lithium-analyzing potential is a boundary of lithium analysis generated by the lithium ion battery, and in the process of charging the lithium ion battery, if the negative electrode potential of the three-electrode cell unit is smaller than the lithium-analyzing potential, the lithium ion battery can generate lithium analysis, damage is caused to the battery, and the safety of the battery is reduced.
In the related art, a battery pack is used for static lithium analysis testing, and obtained static parameters are written into a battery management system. The lithium analysis test cannot simulate the dynamic working state of the battery pack in the use process of the vehicle, the obtained static parameters are different from the dynamic parameters of the battery pack after the battery pack is installed on the vehicle, and different battery packs can influence the lithium analysis boundary of the battery cell, so that the obtained static parameters are influenced.
Compared with the prior art that the battery pack is adopted for static test, and the obtained static parameters are written into the battery management system, the lithium analysis test method provided by the embodiment of the application is based on the BMS battery system and the charging and discharging equipment, the charging and discharging equipment is set so that the BMS battery system works in the preset working condition, and whether lithium analysis occurs in the BMS battery system is determined by acquiring the negative electrode potential of the three-electrode battery cell unit. According to the testing method, the BMS battery system is adopted, the working state of the battery pack in the use process of the vehicle can be truly simulated, dynamic monitoring on the battery pack is realized, whether the BMS battery system meets the lithium analysis prevention function or not is judged through the negative electrode potential of the three-electrode battery cell unit, static and dynamic differences and influences of different battery packs on battery cell lithium analysis boundaries are avoided, and the development efficiency and the development quality of the BMS battery system are favorably improved.
For example, the three-electrode cell unit can be connected to a voltage monitoring device, for example an electrochemical workstation, so that the negative electrode potential of the three-electrode cell unit can be detected by the voltage monitoring device.
Methods of fabricating a three-electrode cell unit in a battery pack of a BMS battery system may employ methods known in the art and will not be described herein.
In one embodiment, the testing platform may further include an algorithm 30, the algorithm 30 is communicatively coupled to the charging and discharging device 20, and the algorithm 30 is communicatively coupled to the battery management system 12. For example, the algorithm 30 may be connected to the first human-machine interface 22 of the charging and discharging device 20 through a CAN bus, and the algorithm 30 may be connected to the battery management system 12 through the CAN bus. The testing platform may further include a second human-computer interaction device 40, such as a PC, and the second human-computer interaction device 40 may be connected to the algorithm system 30, and for example, the second human-computer interaction device 40 may be connected to the algorithm system 30 through a USB.
The lithium analysis testing method of the BMS battery system may further include: under the condition that the negative electrode potential is smaller than the lithium separation potential, adjusting parameters related to lithium separation in the algorithm system to enable the negative electrode potential to be not smaller than the lithium separation potential; and updating the adjusted parameter values to a battery management system of the BMS battery system to obtain the optimized BMS battery system.
According to the lithium analysis testing method, the algorithm system is adopted, parameters related to lithium analysis can be adjusted in real time according to the negative electrode potential, the BMS battery system can meet the function of preventing lithium analysis, the adjusted parameter values are updated to the battery management system of the BMS battery system, the optimized BMS battery system is obtained, and the optimized BMS battery system can meet the function of preventing lithium analysis. In the optimization process of the BMS battery system, parameters related to lithium analysis are adjusted in real time according to the negative electrode potential through an algorithm system, the parameter adjusting process is a dynamic adjusting process, the obtained adjusted parameters are dynamic parameters based on a battery management system, and therefore the obtained optimized BMS battery system can meet the lithium analysis prevention function in the use process of a battery pack. And the parameters related to lithium analysis can be adjusted in real time through the algorithm system, the adjusted parameters meeting the requirement of preventing lithium analysis are updated into the battery management system of the BMS battery system, optimization iteration is continuously carried out on the BMS battery system, the requirement of closed-loop verification iteration on the BMS is met, and the iteration efficiency and the development efficiency of the BMS battery system are improved.
The lithium analysis testing method is based on the BMS battery system, the battery management system in the BMS battery system can enable the battery pack to normally close the relay and normally charge and discharge, the actual use condition of the battery pack in a vehicle can be simulated, the battery management system in the BMS battery system can avoid the safety risk of the battery pack in the optimization process, and the robustness of the testing process is improved.
According to the lithium analysis testing method of the BMS battery system, the boundaries of parameters related to lithium analysis of the BMS battery system are verified by adopting the negative electrode potential of the three-electrode battery cell unit instead of verifying through long-term service life tests of a plurality of battery pack samples, verification development time can be saved, and development iteration efficiency of the BMS battery system is improved.
Illustratively, a newly developed algorithmic system may be deployed on dSpace.
Illustratively, the parameter related to lithium deposition may include at least one of: the battery internal diffusion coefficient, the electrochemical coefficient, the DV equation parameter, the diffusion equation parameter, the mass transfer equation parameter, the internal resistance model parameter, the charging current parameter, the electrolyte diffusion coefficient and the like. It can be understood that the parameters related to lithium separation are not limited to the above-listed parameters, and during the test process, the parameters related to lithium separation corresponding to the preset working conditions may be adjusted according to the preset working conditions, so that the negative electrode potential of the three-electrode cell unit is not less than the lithium separation potential, and the prevention of lithium separation is satisfied.
In the process of adjusting the parameters related to lithium deposition, the respective parameters may be adjusted according to the relationship between the respective parameters and the negative electrode potential. For example, if the parameter to be adjusted is proportional to the negative electrode potential, then, in order to make the negative electrode potential not less than the lithium deposition potential (i.e., greater than the lithium deposition potential), the parameter value of the parameter to be adjusted may be adjusted to be greater than the current value so as to increase the negative electrode potential to be greater than the lithium deposition potential; if the parameter to be adjusted is inversely proportional to the negative electrode potential, then the parameter value of the parameter to be adjusted may be adjusted to be smaller than the current value so as to increase the negative electrode potential to be greater than the lithium deposition potential.
In one embodiment, the setting of the charge and discharge device to operate the BMS battery system at a preset operation condition may include: setting charging and discharging equipment to enable the BMS battery system to work under the NEDC working condition; and/or, setting charging and discharging equipment to enable the BMS battery system to work under a long downhill feedback working condition; and/or, setting a charging and discharging device to enable the BMS battery system to work under the large current pulse working condition.
The NEDC regime, New European Driving Cycle, New standard European Cycle test regime. The preset working condition is set to be the NEDC working condition, so that the optimized BMS battery system can meet the function of preventing lithium precipitation under the NEDC working condition.
When BMS battery system work under long downhill path repayment operating mode, BMS battery system can retrieve the electric energy and charge to the group battery, will predetermine the operating mode and set up to long downhill path repayment operating mode, can simulate out the process that the vehicle charges to the group battery at the operation in-process to, BMS battery system after the optimization can satisfy the prevention of operation in-process charged state and analyse the lithium function.
The high-current pulse working condition is a typical working condition that lithium can be separated possibly, the preset working condition is set to be the high-current pulse working condition, whether the BMS battery system meets the lithium separating prevention function under the high-current pulse working condition or not can be determined, the optimized BMS battery system can be obtained, and the lithium separating prevention function of the BMS battery system under the high-current pulse working condition can be met.
In one embodiment, the setting of the charge and discharge device to operate the BMS battery system at a preset operation condition may include: and setting charging and discharging equipment so that the BMS battery system works under the NEDC working condition, the long downhill feedback working condition, the large current pulse working condition and the NEDC working condition in sequence.
Specifically, firstly, setting charging and discharging equipment to enable the BMS battery system to work under the NEDC working condition to obtain a negative electrode potential, determining that the BMS battery system generates lithium analysis under the condition that the negative electrode potential is smaller than the lithium analysis potential, adjusting parameters related to the lithium analysis in an algorithm system under the condition that the lithium analysis is generated to enable the negative electrode potential not to be smaller than the lithium analysis potential, updating the adjusted parameter values to a battery management system of the BMS battery system, and obtaining the optimized BMS battery system; secondly, setting charging and discharging equipment to enable the BMS battery system to work under a long downhill feedback working condition, acquiring the potential of a negative electrode, determining that the BMS battery system generates lithium analysis under the condition that the potential of the negative electrode is less than the lithium analysis potential, adjusting parameters related to the lithium analysis in an algorithm system under the condition that the lithium analysis occurs to enable the potential of the negative electrode to be not less than the lithium analysis potential, updating the adjusted parameter values to a battery management system of the BMS battery system, and acquiring the optimized BMS battery system; setting charging and discharging equipment to enable the BMS battery system to work under the large-current pulse working condition, acquiring the potential of a negative electrode, determining that the BMS battery system generates lithium analysis under the condition that the potential of the negative electrode is less than the lithium analysis potential, adjusting parameters related to the lithium analysis in an algorithm system under the condition that the lithium analysis is generated to enable the potential of the negative electrode to be not less than the lithium analysis potential, updating the adjusted parameter values to a battery management system of the BMS battery system, and obtaining the optimized BMS battery system; and finally, setting charging and discharging equipment to enable the BMS to work under the NEDC working condition, acquiring the potential of the negative electrode, determining that the BMS generates lithium analysis when the potential of the negative electrode is less than the lithium analysis potential, adjusting parameters related to the lithium analysis in an algorithm system to enable the potential of the negative electrode to be not less than the lithium analysis potential when the lithium analysis is generated, updating the adjusted parameter values to a battery management system of the BMS, and obtaining the optimized BMS.
The preset working condition is sequentially set to be a NEDC working condition, a long downhill feedback working condition, a large current pulse working condition and a NEDC working condition, so that the preset working condition forms a closed-loop working condition, and after the optimized BMS battery system meets the lithium analysis prevention function under the long downhill feedback working condition and the large current pulse working condition, the final optimized BMS battery system can meet the lithium analysis prevention function under the NEDC working condition by setting the NEDC working condition again.
In one embodiment, adjusting a parameter related to lithium deposition in the algorithm so that the negative electrode potential is not less than the lithium deposition potential may include: in the current working condition, based on the parameter value of the parameter adjusted in the previous working condition, the parameter related to lithium separation in the algorithm system is adjusted so that the potential of the negative electrode is not less than the lithium separation potential, and the potential of the negative electrode is not less than the lithium separation potential in the previous working condition.
Specifically, after adjusting a parameter related to lithium deposition under a first condition (e.g., NEDC condition) and updating the adjusted parameter value into the BMS battery system, if the parameter to be adjusted is the same as the parameter adjusted under the first condition under a second condition (e.g., long downhill feedback condition), the adjusted value of the parameter should be a boundary value with the parameter adjusted under the first condition under the second condition. For example, in the first operating condition, the first parameter is adjusted to a and updated into the BMS battery system, and in the second operating condition, if the first parameter is adjusted, the value of the first parameter should be bounded by a to prevent lithium precipitation of the BMS battery system in the first operating condition after the first parameter is adjusted in the second operating condition. That is, after obtaining the optimized BMS battery system under the first operating condition, when adjusting the parameter to be adjusted under the second operating condition, it should be based on not causing the BMS battery system to generate lithium deposition under the first operating condition. Thus, when the optimized BMS battery system obtained under the second operating condition is operated under the first operating condition again, the lithium precipitation prevention function may be satisfied.
According to the lithium analysis testing method, in the current working condition, the parameters related to lithium analysis in the algorithm system are adjusted based on the parameter values of the adjusted parameters in the previous working condition, so that the negative electrode potential is not less than the lithium analysis potential, and therefore the boundary values of all the parameters related to lithium analysis can be obtained, all the parameters related to lithium analysis in the optimized BMS battery system are boundary values, the lithium analysis prevention function is met, and the efficiency of the BMS battery system is improved.
It can be understood that the NEDC working condition, the long downhill feedback working condition, and the large current pulse working condition are all the running working conditions of the vehicle. In one embodiment, the actual output power of the BMS battery system is less than the maximum output power of the BMS battery system in case the BMS battery system operates at the preset operating condition.
In one embodiment, the setting of the charge and discharge device to operate the BMS battery system at a preset operation condition may include: setting a charging and discharging device to enable a battery pack in the BMS battery system to work in a first charging mode, wherein the first charging mode comprises that the state of charge of the BMS battery system is increased to 100% from the first state of charge; and/or, setting the charging and discharging device to enable the battery pack in the BMS battery system to work in a second charging mode, wherein the second charging mode comprises the steps of discharging the battery pack in the BMS battery system from a state of charge of 100% to a second state of charge by adopting the first discharging multiplying power, and charging the battery pack in the BMS battery system to 100%; and/or, setting the charging and discharging device to enable the battery pack in the BMS battery system to work in a third charging mode, wherein the third charging mode comprises the steps of discharging the battery pack in the BMS battery system from the 100% state of charge to a third state of charge by adopting the first discharging multiplying power, and charging the battery pack in the BMS battery system to 100%; and/or, configuring the charging and discharging device to operate the battery pack in the BMS battery system in a fourth charging mode, the fourth charging mode including discharging the battery pack in the BMS battery system from a 100% state of charge to a fourth state of charge using the first discharge rate and charging the battery pack in the BMS battery system to 100%, wherein the first state of charge is greater than or equal to 50% and less than the second state of charge and less than the third state of charge and less than the fourth state of charge and less than 100%.
First charge mode, second charge mode, third charge mode and fourth charge mode are the operating mode that charges, appear easily under the operating mode that charges and analyse the lithium phenomenon, set for the operating mode that charges with presetting the operating mode, can confirm whether BMS battery system satisfies the prevention and analyse the lithium function to BMS battery system after the optimization can satisfy the prevention of charging the operating mode and analyse the lithium function. Further, the high state of charge may cause lithium precipitation, and the preset working condition is set to charge the BMS battery system from a state of charge higher than or equal to 50% to a state of charge of 100%, so that lithium precipitation during charging of the BMS battery system in the high state of charge can be avoided, and a lithium precipitation prevention function in the high state of charge is satisfied.
In one embodiment, the charge and discharge device is provided to operate the BMS battery system at a preset operation condition, including: setting charging and discharging equipment so that a battery pack in the BMS battery system works in a first charging mode, a second charging mode, a third charging mode and a fourth charging mode in sequence, wherein the first charging mode comprises that the state of charge of the BMS battery system is increased to 100% from a first state of charge; the second charging mode includes discharging the battery pack in the BMS battery system from a 100% state of charge to a second state of charge using the first discharge rate and charging the battery pack in the BMS battery system to 100%; the third charging mode includes discharging the battery pack in the BMS battery system from a 100% state of charge to a third state of charge using the first discharge rate and charging the battery pack in the BMS battery system to 100%; the fourth charging mode includes discharging the battery pack in the BMS battery system from a 100% state of charge to a fourth state of charge and charging the battery pack in the BMS battery system to 100% with the first discharge rate, wherein the first state of charge is greater than or equal to 50% and less than the second state of charge and less than the third state of charge and less than the fourth state of charge and less than 100%.
That is, firstly, setting the charging and discharging device to enable the battery pack in the BMS battery system to operate in a first charging mode, acquiring a negative electrode potential, determining that the BMS battery system generates lithium deposition when the negative electrode potential is less than the lithium deposition potential, adjusting a parameter related to the lithium deposition in the algorithm system to enable the negative electrode potential not to be less than the lithium deposition potential when the lithium deposition occurs, and updating the adjusted parameter value to the battery management system of the BMS battery system to obtain an optimized BMS battery system; secondly, setting charging and discharging equipment to enable a battery pack in the BMS battery system to work in a second charging mode, acquiring the potential of a negative electrode, determining that the BMS battery system generates lithium analysis under the condition that the potential of the negative electrode is smaller than the lithium analysis potential, adjusting parameters related to the lithium analysis in an algorithm system under the condition that the lithium analysis is generated to enable the potential of the negative electrode to be not smaller than the lithium analysis potential, updating the adjusted parameter values to a battery management system of the BMS battery system, and acquiring the optimized BMS battery system; thirdly, setting charging and discharging equipment to enable a battery pack in the BMS battery system to work in a third charging mode, acquiring the negative electrode potential, determining that the BMS battery system generates lithium analysis under the condition that the negative electrode potential is smaller than the lithium analysis potential, adjusting parameters related to the lithium analysis in an algorithm system under the condition that the lithium analysis is generated to enable the negative electrode potential not to be smaller than the lithium analysis potential, updating the adjusted parameter values to a battery management system of the BMS battery system, and acquiring the optimized BMS battery system; and fourthly, setting charging and discharging equipment to enable a battery pack in the BMS battery system to work in a fourth charging mode, acquiring the negative electrode potential, determining that the BMS battery system generates lithium analysis under the condition that the negative electrode potential is less than the lithium analysis potential, adjusting parameters related to the lithium analysis in an algorithm system under the condition that the lithium analysis is generated, enabling the negative electrode potential not to be less than the lithium analysis potential, updating the adjusted parameter values to a battery management system of the BMS battery system, and obtaining the optimized BMS battery system.
The greater the state of charge is, the greater the possibility of generating lithium analysis is, and the states of charge corresponding to the first charging mode, the second charging mode, the third charging mode and the fourth charging mode are set to gradually increase, so that the optimized BMS battery system in the current state of charge can meet the lithium analysis prevention function in the charging process in the previous state of charge, and the development efficiency of the BMS battery system is improved.
In one embodiment, the first state of charge may be 50%, the second state of charge may be 70%, the third state of charge may be 80%, and the fourth state of charge may be 90%.
The first state of charge, the second state of charge, the third state of charge, and the fourth state of charge are not limited to the above specific values, and illustratively, the first state of charge may be any one of 50% to 55% (inclusive), and the second state of charge may be any one of 68% to 72% (inclusive); the third state of charge may be any of 78% to 82% (inclusive) and the fourth state of charge may be any of 88% to 92% (inclusive).
In one embodiment, the first discharge rate may be 1/3C. In other embodiments, the first discharge rate may be any one of 1/4C to 1/2C (inclusive).
In one embodiment, the setting of the charge and discharge device to operate the BMS battery system at a preset operation condition may include: and the charging and discharging equipment is arranged so that the BMS battery system works in sequence under the conditions that the state of charge of the BMS battery system is promoted to 100%, the NEDC working condition, the long downhill feedback working condition, the large current pulse working condition and the NEDC working condition, the state of charge of the BMS battery system is promoted to a fourth state of charge, the NEDC working condition, the long downhill feedback working condition, the large current pulse working condition and the NEDC working condition, and the state of charge of the BMS battery system is promoted to a third state of charge, the NEDC working condition, the long downhill feedback working condition, the large current pulse working condition and the NEDC working condition, wherein the third state of charge is less than the.
Specifically, the preset working conditions are sequentially that the state of charge of the BMS battery system is promoted to 100%, the NEDC working condition, the long downhill feedback working condition, the large current pulse working condition and the NEDC working condition, the state of charge of the BMS battery system is promoted to a fourth state of charge, the NEDC working condition, the long downhill feedback working condition, the large current pulse working condition and the NEDC working condition, the state of charge of the BMS battery system is promoted to a third state of charge, the NEDC working condition, the long downhill feedback working condition, the large current pulse working condition and the NEDC working condition, wherein, under each working condition, the negative electrode potential is obtained, the BMS battery system is determined to generate lithium analysis under the condition that the negative electrode potential is less than the lithium analysis potential, in the case of generating lithium separation, parameters related to the lithium separation in the algorithm system are adjusted to ensure that the potential of the negative electrode is not less than the lithium separation potential, and updating the adjusted parameter values to a battery management system of the BMS battery system to obtain the optimized BMS battery system.
Specifically, raising the state of charge of the BMS battery system to 100% may charge the Direct Current (DC) to 100%, raising the state of charge of the BMS battery system to a fourth state of charge may charge the Direct Current (DC) to the fourth state of charge, and raising the state of charge of the BMS battery system to a third state of charge may charge the Direct Current (DC) to the third state of charge.
According to the lithium analysis test method, the preset working condition is set to be the coupling of the operation working condition and the charging working condition, so that the finally obtained BMS battery system not only meets the lithium analysis prevention function of the operation working condition, but also meets the lithium analysis prevention function of the charging working condition.
In one embodiment, the test platform may further include a first space for accommodating the BMS battery system, and the lithium analysis test method may further include: setting the temperature of the first space to a preset temperature, wherein the preset temperature comprises one of 50 ℃, 60 ℃, 70 ℃ and 80 ℃.
The temperature of the space where the BMS battery system is located is set to be a preset temperature, so that whether the BMS battery system generates lithium analysis under the preset working condition and the preset temperature or not can be determined, the optimized BMS battery system can meet the lithium analysis prevention function under the preset working condition and the preset temperature, and the state of the BMS battery system in the vehicle using process is better simulated.
Illustratively, the preset temperature is not limited to 50 ℃, 60 ℃, 70 ℃, or 80 ℃, and the preset temperature can be any of 48 ℃ to 52 ℃ (inclusive), 58 ℃ to 62 ℃ (inclusive), 68 ℃ to 72 ℃ (inclusive), or 78 ℃ to 82 ℃ (inclusive).
In one embodiment, the battery pack may be subjected to an accelerated aging test on a rack to obtain an aged battery pack, and the lithium analysis test method in the embodiment of the present application may be verified by using the aged battery pack. The battery packs aged with different battery Health degrees (State of Health, SOH) are subjected to lithium analysis test verification on the test platform of the embodiment of the application, and the boundary schemes of the battery packs aged with different battery Health degrees are identified.
According to the technical scheme, in the optimization process of the BMS battery system, parameters related to lithium analysis are adjusted in real time according to the negative electrode potential through the algorithm system, the parameter adjusting process is a dynamic adjusting process, the obtained adjusted parameters are dynamic parameters based on the battery management system, and therefore the obtained optimized BMS battery system can meet the lithium analysis prevention function in the battery pack using process. And the parameters related to lithium analysis can be adjusted in real time through the algorithm system, the adjusted parameters meeting the requirement of preventing lithium analysis are updated into a battery management system of the BMS battery system, optimization iteration is continuously carried out on the BMS battery system, the requirement of closed-loop verification iteration on the BMS is met, and the iteration efficiency and the development quality of the BMS battery system are improved.
In the description of the present specification, it is to be understood that the terms "central," "longitudinal," "lateral," "length," "width," "thickness," "upper," "lower," "front," "rear," "left," "right," "vertical," "horizontal," "top," "bottom," "inner," "outer," "clockwise," "counterclockwise," "axial," "radial," "circumferential," and the like are used in the orientations and positional relationships indicated in the drawings for convenience in describing the present application and to simplify the description, and are not intended to indicate or imply that the referenced devices or elements must have a particular orientation, be constructed and operated in a particular orientation, and are therefore not to be considered limiting of the present application.
Furthermore, the terms "first", "second" and "first" are used for descriptive purposes only and are not to be construed as indicating or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of that feature. In the description of the present application, "a plurality" means two or more unless specifically limited otherwise.
In this application, unless expressly stated or limited otherwise, the terms "mounted," "connected," "secured," and the like are to be construed broadly and can include, for example, fixed connections, removable connections, or integral parts; the connection can be mechanical connection, electrical connection or communication; either directly or indirectly through intervening media, either internally or in any other relationship. The specific meaning of the above terms in the present application can be understood by those of ordinary skill in the art as appropriate.
In this application, unless expressly stated or limited otherwise, the first feature "on" or "under" the second feature may comprise direct contact of the first and second features, or may comprise contact of the first and second features not directly but through another feature in between. Also, the first feature being "on," "above" and "over" the second feature includes the first feature being directly on and obliquely above the second feature, or merely indicating that the first feature is at a higher level than the second feature. A first feature being "under," "below," and "beneath" a second feature includes the first feature being directly above and obliquely above the second feature, or simply meaning that the first feature is at a lesser level than the second feature.
It should be noted that although the various steps of the methods of the present application are depicted in the drawings in a particular order, this does not require or imply that the steps must be performed in this particular order, or that all of the shown steps must be performed, to achieve desirable results. Additionally or alternatively, certain steps may be omitted, multiple steps combined into one step execution, and/or one step broken down into multiple step executions, etc. The above-described figures are merely schematic illustrations of processes involved in methods according to exemplary embodiments of the present application and are not intended to be limiting. It will be readily understood that the processes shown in the above figures are not intended to indicate or limit the chronological order of the processes. In addition, it is also readily understood that these processes may be performed synchronously or asynchronously, e.g., in multiple modules.
The above disclosure provides many different embodiments or examples for implementing different structures of the application. The components and arrangements of specific examples are described above to simplify the present disclosure. Of course, they are merely examples and are not intended to limit the present application. Moreover, the present application may repeat reference numerals and/or letters in the various examples, such repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.
The above description is only for the specific embodiments of the present application, but the scope of the present application is not limited thereto, and any person skilled in the art can easily conceive various changes or substitutions within the technical scope of the present application, and these should be covered by the scope of the present application. Therefore, the protection scope of the present application shall be subject to the protection scope of the claims.
Claims (14)
1. A test method of a BMS battery system is characterized in that a test platform comprises the BMS battery system and a charging and discharging device, the BMS battery system comprises a battery pack and a battery management system, the charging and discharging device is connected with the battery pack, the test platform further comprises a three-electrode cell unit based on the battery pack, and the test method comprises the following steps:
setting the charging and discharging equipment so that the BMS battery system works under a preset working condition;
acquiring the negative electrode potential of the three-electrode cell unit;
determining that the BMS battery system generates lithium evolution when the negative electrode potential of the three-electrode cell unit is less than the lithium evolution potential.
2. The method of claim 1, wherein the test platform further comprises an algorithm system communicatively coupled to both the charging and discharging device and the battery management system, the method further comprising:
adjusting parameters related to lithium separation in the algorithm system under the condition that the negative electrode potential of the three-electrode cell unit is smaller than the lithium separation potential, so that the negative electrode potential of the three-electrode cell unit is not smaller than the lithium separation potential;
and updating the adjusted parameter values to a battery management system of the BMS battery system to obtain the optimized BMS battery system.
3. The method according to claim 1 or 2, wherein the setting of the charge and discharge device to operate the BMS battery system at a preset operation condition includes:
setting the charge and discharge device to operate the BMS battery system in a NEDC (battery emergency shutdown) condition; and/or the presence of a gas in the gas,
setting the charging and discharging equipment so that the BMS battery system works under a long downhill feedback working condition; and/or the presence of a gas in the gas,
and setting the charging and discharging equipment so that the BMS battery system works under a large current pulse working condition.
4. The method according to claim 1 or 2, wherein the setting of the charge and discharge device to operate the BMS battery system at a preset operation condition includes:
and setting the charging and discharging equipment so that the BMS battery system works in an NEDC working condition, a long downhill feedback working condition, a large current pulse working condition and an NEDC working condition in sequence.
5. The method of claim 3, wherein the actual output power of the BMS battery system is less than the maximum output power of the BMS battery system when the BMS battery system is operating at a preset operating condition.
6. The method according to claim 1 or 2, wherein the setting of the charge and discharge device to operate the BMS battery system at a preset operation condition includes:
setting the charging and discharging device to enable a battery pack in the BMS battery system to work in a first charging mode, wherein the first charging mode comprises that the state of charge of the BMS battery system is increased to 100% from a first state of charge; and/or the presence of a gas in the gas,
setting the charging and discharging device to enable the battery pack in the BMS battery system to work in a second charging mode, wherein the second charging mode comprises the steps of discharging the battery pack in the BMS battery system from a 100% state of charge to a second state of charge by adopting a first discharging multiplying factor, and charging the battery pack in the BMS battery system to 100%; and/or the presence of a gas in the gas,
setting the charging and discharging device to enable the battery pack in the BMS battery system to work in a third charging mode, wherein the third charging mode comprises the steps of discharging the battery pack in the BMS battery system from a state of charge of 100% to a third state of charge by adopting a first discharging multiplying factor, and charging the battery pack in the BMS battery system to 100%; and/or the presence of a gas in the gas,
setting the charge and discharge device to operate a battery pack in the BMS battery system in a fourth charge mode, the fourth charge mode including discharging the battery pack in the BMS battery system from a 100% state of charge to a fourth state of charge using the first discharge rate and charging the battery pack in the BMS battery system to 100%,
wherein the first charge state is more than or equal to 50 percent and less than the second charge state and less than the third charge state and less than the fourth charge state and less than 100 percent.
7. The method according to claim 1 or 2, wherein the setting of the charge and discharge device to operate the BMS battery system at a preset operation condition includes:
the charge and discharge devices are configured such that the battery packs in the BMS battery system are operated in a first charge mode, a second charge mode, a third charge mode, and a fourth charge mode in sequence,
the first charging mode includes the state of charge of the BMS battery system being raised from a first state of charge to 100%;
the second charging mode includes discharging the battery pack in the BMS battery system from a 100% state of charge to a second state of charge using the first discharge rate and charging the battery pack in the BMS battery system to 100%;
the third charging mode includes discharging the battery pack in the BMS battery system from a 100% state of charge to a third state of charge using the first discharge rate and charging the battery pack in the BMS battery system to 100%;
the fourth charge mode includes discharging the battery pack in the BMS battery system from a 100% state of charge to a fourth state of charge with the first discharge rate and charging the battery pack in the BMS battery system to 100%,
wherein the first charge state is more than or equal to 50 percent and less than the second charge state and less than the third charge state and less than the fourth charge state and less than 100 percent.
8. The method of claim 7, wherein the first state of charge is from 50% to 55%, the second state of charge is from 68% to 72%, the third state of charge is from 78% to 82%, and the fourth state of charge is from 88% to 92%.
9. The method of claim 6, wherein the first discharge rate is 1/4C to 1/2C.
10. The method according to claim 1 or 2, wherein the setting of the charge and discharge device to operate the BMS battery system at a preset operation condition includes:
the charging and discharging equipment is arranged so that the BMS battery system works in sequence to raise the state of charge of the BMS battery system to 100%, a NEDC working condition, a long downhill feedback working condition, a large current pulse working condition and a NEDC working condition, to raise the state of charge of the BMS battery system to a fourth state of charge, a NEDC working condition, a long downhill feedback working condition, a large current pulse working condition and a NEDC working condition, to raise the state of charge of the BMS battery system to a third state of charge, a NEDC working condition, a long downhill feedback working condition, a large current pulse working condition and a NEDC working condition,
wherein the third state of charge is less than the fourth state of charge is less than 100%.
11. The method of claim 10 wherein the third state of charge is 78% to 82% and the fourth state of charge is 88% to 92%.
12. The method of claim 1 or 2, wherein the test platform further comprises a first space for accommodating the BMS battery system, the method comprising:
setting the temperature of the first space to be a preset temperature, wherein the preset temperature comprises one of 50 ℃, 60 ℃, 70 ℃ and 80 ℃.
13. The method of claim 2, wherein adjusting parameters associated with lithium extraction in the algorithm to cause the negative electrode potential of the three-electrode cell unit to be no less than the lithium extraction potential comprises:
in the current working condition, based on the parameter value of the parameter adjusted in the previous working condition, adjusting the parameter related to lithium separation in the algorithm system so that the negative electrode potential is not less than the lithium separation potential, and the negative electrode potential is not less than the lithium separation potential in the previous working condition.
14. The method of claim 2, wherein the parameters associated with lithium deposition comprise at least one of: the battery comprises a battery internal diffusion coefficient, an electrochemical coefficient, DV equation parameters, diffusion equation parameters, mass transfer equation parameters, internal resistance model parameters, charging current parameters and electrolyte diffusion coefficients.
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Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010257884A (en) * | 2009-04-28 | 2010-11-11 | Ntt Facilities Inc | Lithium ion battery pack management device and lithium ion battery pack system |
| CN105866695A (en) * | 2016-04-22 | 2016-08-17 | 宁德时代新能源科技股份有限公司 | Method for detecting lithium deposition of rechargeable battery, battery management system and battery system |
| CN106099230A (en) * | 2016-08-09 | 2016-11-09 | 清华大学 | A kind of lithium ion battery fast charge method preventing to analyse lithium |
| CN106716708A (en) * | 2015-03-13 | 2017-05-24 | 松下知识产权经营株式会社 | Cell management device and power supply device |
| CN108427077A (en) * | 2018-02-27 | 2018-08-21 | 山西长征动力科技有限公司 | A kind of experimental method for analysing lithium using reference electrode monitoring cathode |
| WO2018209784A1 (en) * | 2017-05-16 | 2018-11-22 | 宁德时代新能源科技股份有限公司 | Lithium precipitation detection method for battery, battery management system, and battery system |
| CN109188305A (en) * | 2018-07-26 | 2019-01-11 | 奇瑞新能源汽车技术有限公司 | A kind of power battery cycling durable test device and its test method |
| CN109459646A (en) * | 2018-12-26 | 2019-03-12 | 深圳市智锂能源科技有限公司 | A kind of lithium battery group analog machine |
| CN110481383A (en) * | 2019-08-29 | 2019-11-22 | 华人运通(江苏)技术有限公司 | Data processing method and battery management system based on battery management system |
| CN110556608A (en) * | 2019-08-29 | 2019-12-10 | 清华大学 | Battery pulse heating parameter determination method and parameter determination system |
| CN110611133A (en) * | 2019-09-20 | 2019-12-24 | 河南锂动电源有限公司 | Charging method of lithium ion battery management system |
| CN110957785A (en) * | 2019-12-10 | 2020-04-03 | 维沃移动通信有限公司 | Battery assembly, charging control method and system |
| CN111082173A (en) * | 2019-12-06 | 2020-04-28 | 中国第一汽车股份有限公司 | Lithium ion battery rapid charging method based on lithium separation prevention |
| CN210866428U (en) * | 2019-06-13 | 2020-06-26 | 赵耀华 | Dry-wet separation lithium battery pack thermal management system |
-
2020
- 2020-12-30 CN CN202011610345.0A patent/CN112816890A/en active Pending
Patent Citations (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2010257884A (en) * | 2009-04-28 | 2010-11-11 | Ntt Facilities Inc | Lithium ion battery pack management device and lithium ion battery pack system |
| CN106716708A (en) * | 2015-03-13 | 2017-05-24 | 松下知识产权经营株式会社 | Cell management device and power supply device |
| CN105866695A (en) * | 2016-04-22 | 2016-08-17 | 宁德时代新能源科技股份有限公司 | Method for detecting lithium deposition of rechargeable battery, battery management system and battery system |
| CN106099230A (en) * | 2016-08-09 | 2016-11-09 | 清华大学 | A kind of lithium ion battery fast charge method preventing to analyse lithium |
| WO2018209784A1 (en) * | 2017-05-16 | 2018-11-22 | 宁德时代新能源科技股份有限公司 | Lithium precipitation detection method for battery, battery management system, and battery system |
| CN108427077A (en) * | 2018-02-27 | 2018-08-21 | 山西长征动力科技有限公司 | A kind of experimental method for analysing lithium using reference electrode monitoring cathode |
| CN109188305A (en) * | 2018-07-26 | 2019-01-11 | 奇瑞新能源汽车技术有限公司 | A kind of power battery cycling durable test device and its test method |
| CN109459646A (en) * | 2018-12-26 | 2019-03-12 | 深圳市智锂能源科技有限公司 | A kind of lithium battery group analog machine |
| CN210866428U (en) * | 2019-06-13 | 2020-06-26 | 赵耀华 | Dry-wet separation lithium battery pack thermal management system |
| CN110481383A (en) * | 2019-08-29 | 2019-11-22 | 华人运通(江苏)技术有限公司 | Data processing method and battery management system based on battery management system |
| CN110556608A (en) * | 2019-08-29 | 2019-12-10 | 清华大学 | Battery pulse heating parameter determination method and parameter determination system |
| CN110611133A (en) * | 2019-09-20 | 2019-12-24 | 河南锂动电源有限公司 | Charging method of lithium ion battery management system |
| CN111082173A (en) * | 2019-12-06 | 2020-04-28 | 中国第一汽车股份有限公司 | Lithium ion battery rapid charging method based on lithium separation prevention |
| CN110957785A (en) * | 2019-12-10 | 2020-04-03 | 维沃移动通信有限公司 | Battery assembly, charging control method and system |
Non-Patent Citations (1)
| Title |
|---|
| 周旋;周萍;郑岳久;韩雪冰;褚政宇;刘金海;杨映华;薛钢;: "锂离子电池宽温度区间无析锂快充策略", 汽车安全与节能学报, no. 03 * |
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