CN117917739A - Battery formula determining method, device and equipment - Google Patents
Battery formula determining method, device and equipment Download PDFInfo
- Publication number
- CN117917739A CN117917739A CN202211284292.7A CN202211284292A CN117917739A CN 117917739 A CN117917739 A CN 117917739A CN 202211284292 A CN202211284292 A CN 202211284292A CN 117917739 A CN117917739 A CN 117917739A
- Authority
- CN
- China
- Prior art keywords
- target
- battery
- parameter
- conductive agent
- main material
- 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
Links
- 238000000034 method Methods 0.000 title claims abstract description 64
- 239000006258 conductive agent Substances 0.000 claims abstract description 254
- 239000000463 material Substances 0.000 claims abstract description 195
- 239000000203 mixture Substances 0.000 claims abstract description 24
- 238000009472 formulation Methods 0.000 claims abstract description 18
- 238000012544 monitoring process Methods 0.000 claims abstract description 10
- 230000009467 reduction Effects 0.000 claims description 11
- 238000012216 screening Methods 0.000 claims description 3
- 230000008569 process Effects 0.000 abstract description 16
- 238000002474 experimental method Methods 0.000 abstract description 11
- 238000004891 communication Methods 0.000 description 9
- 238000004590 computer program Methods 0.000 description 9
- 238000012545 processing Methods 0.000 description 8
- 239000000853 adhesive Substances 0.000 description 5
- 238000004364 calculation method Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 5
- 239000002033 PVDF binder Substances 0.000 description 4
- 239000000654 additive Substances 0.000 description 4
- 230000000996 additive effect Effects 0.000 description 4
- 229920002981 polyvinylidene fluoride Polymers 0.000 description 4
- 230000006872 improvement Effects 0.000 description 3
- 230000003287 optical effect Effects 0.000 description 3
- 239000002245 particle Substances 0.000 description 3
- 230000008901 benefit Effects 0.000 description 2
- 238000013461 design Methods 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 230000003993 interaction Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- OKTJSMMVPCPJKN-UHFFFAOYSA-N Carbon Chemical compound [C] OKTJSMMVPCPJKN-UHFFFAOYSA-N 0.000 description 1
- HBBGRARXTFLTSG-UHFFFAOYSA-N Lithium ion Chemical compound [Li+] HBBGRARXTFLTSG-UHFFFAOYSA-N 0.000 description 1
- 230000009471 action Effects 0.000 description 1
- 239000013543 active substance Substances 0.000 description 1
- 230000001070 adhesive effect Effects 0.000 description 1
- 239000010405 anode material Substances 0.000 description 1
- 238000003491 array Methods 0.000 description 1
- 238000013473 artificial intelligence Methods 0.000 description 1
- 239000011230 binding agent Substances 0.000 description 1
- 239000006229 carbon black Substances 0.000 description 1
- 239000002041 carbon nanotube Substances 0.000 description 1
- 229910021393 carbon nanotube Inorganic materials 0.000 description 1
- 239000010406 cathode material Substances 0.000 description 1
- 230000001413 cellular effect Effects 0.000 description 1
- 230000008859 change Effects 0.000 description 1
- 238000006243 chemical reaction Methods 0.000 description 1
- 238000013400 design of experiment Methods 0.000 description 1
- 150000002500 ions Chemical class 0.000 description 1
- 239000004973 liquid crystal related substance Substances 0.000 description 1
- 229910001416 lithium ion Inorganic materials 0.000 description 1
- 238000010801 machine learning Methods 0.000 description 1
- 239000007773 negative electrode material Substances 0.000 description 1
- 239000013307 optical fiber Substances 0.000 description 1
- 238000005457 optimization Methods 0.000 description 1
- 238000012803 optimization experiment Methods 0.000 description 1
- 239000007774 positive electrode material Substances 0.000 description 1
- 230000001737 promoting effect Effects 0.000 description 1
- 238000012827 research and development Methods 0.000 description 1
- 230000004044 response Effects 0.000 description 1
- 239000004065 semiconductor Substances 0.000 description 1
- 230000001953 sensory effect Effects 0.000 description 1
- 238000006467 substitution reaction Methods 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
- 238000012546 transfer Methods 0.000 description 1
- 238000012795 verification Methods 0.000 description 1
- 230000000007 visual effect Effects 0.000 description 1
Classifications
-
- 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
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
- Y02E60/00—Enabling technologies; Technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02E60/10—Energy storage using batteries
Landscapes
- Battery Electrode And Active Subsutance (AREA)
Abstract
The embodiment of the disclosure provides a method, a device and equipment for determining a battery formula. The method comprises the following steps: monitoring a battery recipe determination instruction; responding to the battery formula determining instruction, and acquiring current conductive agent parameters and current main material parameters of the battery; determining the current conductivity parameter of the battery according to the current conductivity parameter, the current main material parameter and a preset corresponding relation among the conductivity parameter, the main material parameter and the conductivity parameter; and determining a target conductive agent parameter and/or a target main material parameter of the battery according to the current conductive performance parameter and the battery formula requirement corresponding to the battery formula determining instruction. In this way, the accuracy and efficiency of parameter determination in the process of determining the battery formulation can be improved, the number of experiments in the process of determining the battery formulation can be reduced, and the experimental period can be shortened.
Description
Technical Field
The disclosure relates to the field of batteries, and in particular to the technical field of battery formulations.
Background
At present, in the process of determining the formula of the lithium ion battery, a research and development personnel are required to carry out a large number of DOE (DESIGN OF EXPERIMENT, test design) experiments according to the parameters of the anode material and the cathode material and the parameters (such as specific surface area) of the conductive agent, so that the formula parameters such as the addition amount of the conductive agent and/or the main material can be determined; the recipe parameter determining method initially determines an empirical recipe parameter according to the experience of a developer, and then determines whether the empirical recipe parameter is suitable or not through DOE experiments, so that the number of experiments is very large, the experiment period is very long naturally, and the determination efficiency and the accuracy of the recipe parameter are very low.
Disclosure of Invention
The present disclosure provides a battery recipe determination method, apparatus, device, storage medium, and vehicle.
According to a first aspect of the present disclosure, a battery recipe determination method is provided. The method comprises the following steps:
monitoring a battery recipe determination instruction;
Responding to the battery formula determining instruction, and acquiring current conductive agent parameters and current main material parameters of the battery;
Determining the current conductivity parameter of the battery according to the current conductivity parameter, the current main material parameter and a preset corresponding relation among the conductivity parameter, the main material parameter and the conductivity parameter;
And determining a target conductive agent parameter and/or a target main material parameter of the battery according to the current conductive performance parameter and the battery formula requirement corresponding to the battery formula determining instruction.
In the aspect and any possible implementation manner described above, there is further provided an implementation manner, where the determining, according to the current conductive performance parameter and the battery recipe requirement corresponding to the battery recipe determination instruction, the target conductive agent parameter of the battery includes:
If the requirement of the battery formula is to maintain the conductivity of the battery and replace the current conductive agent of the battery and/or maintain the conductivity of the battery and replace the current main material of the battery, determining a target conductivity parameter according to the current conductivity parameter and a preset allowable performance deviation;
and determining the target conductive agent parameter and/or the target main material parameter according to the target conductive performance parameter.
In the aspect and any possible implementation manner described above, there is further provided an implementation manner, where the determining, according to the current conductive performance parameter and the battery recipe requirement corresponding to the battery recipe determination instruction, the target conductive agent parameter of the battery includes:
If the battery formula requirement is to improve the conductivity of the battery, determining a target conductivity parameter according to the battery formula requirement and the current conductivity parameter;
and determining the target conductive agent parameter and/or the target main material parameter according to the target conductive performance parameter.
Aspects and any one of the possible implementations as described above, further providing an implementation, the target conductive agent parameters include: the addition amount of the target conductive agent after replacement;
the target host material parameters include: the addition amount of the target main material after replacement;
The determining the target conductive agent parameter and/or the target main material parameter according to the target conductive performance parameter comprises:
If the current main material is unchanged, determining the addition amount of the target conductive agent according to the target conductive performance parameter, the specific surface area of the target conductive agent, the specific surface area of the current main material and the addition amount of the current main material;
If the current main material is required to be replaced as the target main material, determining the addition amount of the target conductive agent and the addition amount of the target main material according to the target conductive performance parameter, the specific surface area of the target conductive agent and the specific surface area of the target conductive agent.
In the aspects and any possible implementation manner described above, there is further provided an implementation manner, wherein the selecting step of the target conductive agent is as follows:
determining a specific surface area and/or price of each of the plurality of selectable conductive agents;
selecting the target conductive agent from the plurality of selectable conductive agents according to a conductive agent specific surface area increasing principle and the specific surface areas of the plurality of selectable conductive agents; and/or
The target conductive agent is selected from the plurality of selectable conductive agents according to a conductive agent price reduction principle and prices of the plurality of selectable conductive agents, respectively.
In the aspect and any possible implementation manner described above, there is further provided an implementation manner, wherein the selecting the target conductive agent from the plurality of selectable conductive agents according to a conductive agent specific surface area increasing principle and specific surface areas of the plurality of selectable conductive agents respectively includes:
And selecting a conductive agent with a specific surface area larger than the current conductive agent and smaller than K times of the specific surface area of the current conductive agent from the plurality of selectable conductive agents as the target conductive agent according to the principle of increasing the specific surface area of the conductive agent, wherein K is a positive integer larger than or equal to 2.
In aspects and any one of the possible implementations described above, there is further provided an implementation, wherein the selecting step of the target host material is as follows:
determining a specific surface area and/or price of each of a plurality of selectable host materials;
Selecting the target main material from the plurality of selectable main materials according to a main material specific surface area reduction principle and the specific surface areas of the plurality of selectable main materials; and/or
The target host material is selected from the plurality of selectable host materials according to a host material price reduction principle and prices of each of the plurality of selectable host materials.
Aspects and any one of the possible implementations as described above, further providing an implementation, the method further including:
And if the target conductive agent parameters of the battery comprise a plurality of target main material parameters and/or the target conductive agent parameters comprise a plurality of target main material parameters, screening the target conductive agent parameters and/or the target main material parameters according to the actual performance requirements of the battery to obtain final conductive agent parameters and/or final main material parameters.
According to a second aspect of the present disclosure, a battery recipe determination device is provided. The device comprises:
The monitoring module is used for monitoring the battery formula determining instruction;
The acquisition module is used for responding to the battery formula determining instruction and acquiring the current conductive agent parameters and the current main material parameters of the battery;
The first determining module is used for determining the current conductive performance parameter of the battery according to the current conductive agent parameter, the current main material parameter, the preset corresponding relation among the conductive agent parameter, the main material parameter and the conductive performance parameter;
And the second determining module is used for determining the target conductive agent parameter and/or the target main material parameter of the battery according to the current conductive performance parameter and the battery formula requirement corresponding to the battery formula determining instruction.
According to a third aspect of the present disclosure, an electronic device is provided. The electronic device includes: a memory and a processor, the memory having stored thereon a computer program, the processor implementing the method as described above when executing the program.
According to a fourth aspect of the present disclosure, there is provided a computer readable storage medium having stored thereon a computer program which when executed by a processor implements a method according to the first and/or second aspects of the present disclosure.
According to a fifth aspect of the present disclosure, there is provided a vehicle comprising the battery recipe determination apparatus as described in the second aspect and/or the electronic device as described in the third aspect.
In the method, after a battery recipe determination instruction is monitored, the current conductive agent parameter and the current main material parameter of the battery are obtained, and the current conductive performance parameter of the battery can be accurately determined according to the current conductive agent parameter and the current main material parameter as well as a preset corresponding relation among the conductive agent parameter, the main material parameter and the conductive performance parameter, then the target conductive agent parameter and/or the target main material parameter of the battery can be automatically determined according to the current conductive performance parameter and the battery recipe determination instruction corresponding battery recipe demand, the determination process of the conductive agent parameter and/or the target main material parameter DOEs not need to manually determine an empirical formula parameter and then can be obtained according to repeated experiments of the empirical formula parameter, and only the current conductive performance parameter is automatically determined according to the preset corresponding relation, and then the recipe parameter of the battery can be obtained.
It should be understood that what is described in this summary is not intended to limit the critical or essential features of the embodiments of the disclosure nor to limit the scope of the disclosure. Other features of the present disclosure will become apparent from the following description.
Drawings
The above and other features, advantages and aspects of embodiments of the present disclosure will become more apparent by reference to the following detailed description when taken in conjunction with the accompanying drawings. For a better understanding of the present disclosure, and without limiting the disclosure thereto, the same or similar reference numerals denote the same or similar elements, wherein:
FIG. 1 illustrates a flow chart of a method of battery recipe determination according to an embodiment of the present disclosure;
FIG. 2 illustrates a flow chart of another battery recipe determination method according to an embodiment of the present disclosure;
FIGS. 3-8 illustrate a charge-discharge performance curve change schematic according to an embodiment of the present disclosure;
Fig. 9 shows a block diagram of a battery recipe determination device according to an embodiment of the present disclosure;
fig. 10 illustrates a block diagram of an exemplary electronic device capable of implementing embodiments of the present disclosure.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the embodiments of the present disclosure more apparent, the technical solutions of the embodiments of the present disclosure will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present disclosure, and it is apparent that the described embodiments are some embodiments of the present disclosure, but not all embodiments. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments in this disclosure without inventive faculty, are intended to be within the scope of this disclosure.
In addition, the term "and/or" herein is merely an association relationship describing an association object, and means that three relationships may exist, for example, a and/or B may mean: a exists alone, A and B exist together, and B exists alone. In addition, the character "/" herein generally indicates that the front and rear associated objects are an "or" relationship.
Fig. 1 shows a flowchart of a battery recipe determination method 100 according to an embodiment of the present disclosure. The subject of the method 100 may be a battery recipe determination device, such as a computer, etc., and the method may include:
step 110, monitoring a battery recipe determination instruction;
the battery recipe determination instructions are automatically generated by the executing body upon monitoring the conductive agent formulation determination operation, or from other devices in communication with the executing body.
Step 120, responding to the battery formula determining instruction, and acquiring current conductive agent parameters and current main material parameters of the battery;
Wherein the current conductive agent parameters may include: the addition amount of the current conductive agent in the battery, and the specific surface area of the current conductive agent; the current main material parameters may include: the addition amount of the current main material and the specific surface area of the main material in the battery; wherein, the specific surface area refers to the total area of the unit mass of the material.
Step 130, determining the current conductive performance parameter of the battery according to the current conductive agent parameter and the current main material parameter and a preset corresponding relation among the conductive agent parameter, the main material parameter and the conductive performance parameter, wherein the preset corresponding relation is used for calculating the conductive performance parameter based on the conductive agent parameter and the main material parameter, and specifically the preset corresponding relation can be a preset conductive performance formula; the conductivity parameter is closely related to the conductivity of the battery, and is not easily too high or too low, specifically, the conductivity parameter is positively related to the specific surface area (hereinafter referred to as BET) of the conductive agent of the battery, and is negatively related to the specific surface area of the main material of the battery.
And 140, determining a target conductive agent parameter and/or a target main material parameter of the battery according to the current conductive performance parameter and the battery formula requirement corresponding to the battery formula determination instruction. Wherein the target conductive agent parameters include: the addition amount of the target conductive agent after replacement; the target host material parameters include: the amount of target host material added after replacement. In addition, the main material in the battery is an active substance, the conductive agent is used for promoting the effective transfer of ions between the positive and negative electrode main materials, and of course, the battery also has an adhesive for bonding the conductive agent and the main material together, and simultaneously bonding the materials and the positive and negative electrode chips together.
After a battery recipe determination instruction is monitored, the current conductive agent parameter and the current main material parameter of the battery are obtained, the current conductive performance parameter of the battery can be accurately determined according to the current conductive agent parameter and the current main material parameter and a preset corresponding relation among the conductive agent parameter, the main material parameter and the conductive performance parameter, then the target conductive agent parameter and/or the target main material parameter of the battery can be automatically determined according to the current conductive performance parameter and the battery recipe requirement corresponding to the battery recipe determination instruction, and the automatic determination process of the conductive agent parameter and/or the target main material parameter can improve the determination efficiency of the parameters in the recipe determination process, and because the target conductive agent parameter and/or the target main material parameter which do not need to be manually participated in and are reasonably inferred according to the conductive performance parameter are not a rough empirical recipe parameter which is preliminarily determined according to human experience, the determination accuracy of the target conductive agent parameter and/or the target main material parameter in the battery recipe determination process can be improved, and once the accuracy is improved, the DOE (dot E) is required to be carried out according to the accurate target conductive agent parameter and/or the target main material is greatly shortened, and the number of times of experiments are shortened after the DOE is required to be subjected to experiment.
In addition, the method for determining the battery formula can be suitable for determining the formula of the battery anode or determining the formula of the battery cathode, namely the battery anode is provided with the main material and the conductive agent, and the battery cathode is also provided with the main material and the conductive agent.
In some embodiments, the determining the target conductive agent parameter of the battery according to the current conductive performance parameter and the battery recipe requirement corresponding to the battery recipe determination instruction includes:
If the requirement of the battery formula is to maintain the conductivity of the battery and replace the current conductive agent of the battery and/or maintain the conductivity of the battery and replace the current main material of the battery, determining a target conductivity parameter according to the current conductivity parameter and a preset allowable performance deviation;
The preset allowable performance deviation may be preset, for example, ±50%, so that the target conductivity parameter=the current conductivity parameter±50%.
And determining the target conductive agent parameter and/or the target main material parameter according to the target conductive performance parameter.
If the conductivity is only required to be maintained, no matter whether the current conductive agent and/or the current main material is required to be replaced, the target conductivity parameter can be accurately determined only according to the current conductivity parameter and the preset allowable performance deviation, namely, the target conductivity parameter and the current conductivity parameter are ensured to be not greatly deviated, then the target conductivity parameter is taken as a constraint condition, and the target conductive agent parameter and/or the target main material parameter can be reversely deduced, so that the parameter determination accuracy and efficiency in the battery formula determination process can be improved, and the experimental process is shortened.
In some embodiments, the determining the target conductive agent parameter of the battery according to the current conductive performance parameter and the battery recipe requirement corresponding to the battery recipe determination instruction includes:
If the battery formula requirement is to improve the conductivity of the battery, determining a target conductivity parameter according to the battery formula requirement and the current conductivity parameter;
when improving the conductivity of the battery, it may be necessary to replace the current conductive agent with the target conductive agent and/or to replace the current host material with the target host material.
Since the electric conduction performance parameter of the battery is improved, the absolute value of the difference between the target electric conduction performance parameter and the current electric conduction performance parameter is larger than the preset allowable performance deviation.
And determining the target conductive agent parameter and/or the target main material parameter according to the target conductive performance parameter.
If the conductivity of the battery is required to be improved, a new conductivity parameter, namely a target conductivity parameter, is required to be determined according to the requirement of the battery formula and the current conductivity parameter, and then the target conductivity parameter is taken as a constraint condition, namely the target conductive agent parameter and/or the target main material parameter can be reversely deduced, so that the parameter determination accuracy and efficiency in the battery formula determination process can be improved, and the experimental process is shortened.
In some embodiments, the target conductive agent parameters include: the addition amount of the target conductive agent after replacement;
the target host material parameters include: the addition amount of the target main material after replacement;
The determining the target conductive agent parameter and/or the target main material parameter according to the target conductive performance parameter comprises:
If the current main material is unchanged, determining the addition amount of the target conductive agent according to the target conductive performance parameter, the specific surface area of the target conductive agent, the specific surface area of the current main material and the addition amount of the current main material;
If the current main material is required to be replaced as the target main material, determining the addition amount of the target conductive agent and the addition amount of the target main material according to the target conductive performance parameter, the specific surface area of the target conductive agent and the specific surface area of the target conductive agent.
The input of the preset conductivity formula is as follows: the specific surface area of the conductive agent, the addition amount of the conductive agent, the specific surface area of the main material and the addition amount of the main material are output as conductive performance parameters, so that if the current main material is unchanged, the target conductive performance parameters, the specific surface area of the target conductive agent, the specific surface area of the current main material and the addition amount of the current main material are substituted into a preset conductive performance formula, and the addition amount of the target conductive agent can be reversely deduced;
If the current main material is required to be replaced as the target main material, the target conductivity parameter, the specific surface area of the target conductive agent and the specific surface area of the target conductive agent are taken as inputs, and then, as the addition amounts of the target conductive agent and the target main material are all calculated, one of the calculated amounts is unchanged, the other calculated amount is calculated, the unchanged calculated amount is changed a little, and the other calculated amount is calculated, so that the addition amount of the target conductive agent and the addition amount of the target main material can be automatically and reversely calculated, the parameter determination accuracy and efficiency in the battery formula determination process are improved, and the experimental process is shortened.
The preset conductivity formula is as follows:
The conductivity parameter is the S coefficient.
In addition, at least 2 conductive agents are arranged on the positive electrode or the negative electrode in the battery.
In some embodiments, the target conductive agent is selected as follows:
determining a specific surface area and/or price of each of the plurality of selectable conductive agents;
The optional conductive agent includes a dot-like conductive agent such as carbon black, and also includes a linear conductive agent such as carbon nanotubes.
Selecting the target conductive agent from the plurality of selectable conductive agents according to a conductive agent specific surface area increasing principle and the specific surface areas of the plurality of selectable conductive agents; and/or
The target conductive agent is selected from the plurality of selectable conductive agents according to a conductive agent price reduction principle and prices of the plurality of selectable conductive agents, respectively.
Since the larger the specific surface area of the conductive agent is, the better the conductivity of the battery is, the conductive agent with the specific surface area larger than the specific surface area of the current conductive agent can be selected from the plurality of selectable conductive agents as the target conductive agent according to the principle of increasing the specific surface area of the conductive agent and the specific surface areas of the plurality of selectable conductive agents; or alternatively
And selecting a low-price conductive agent from the plurality of selectable conductive agents as a target conductive agent according to a conductive agent price reduction principle and the price of each of the plurality of selectable conductive agents.
In some embodiments, the selecting the target conductive agent from the plurality of selectable conductive agents according to the conductive agent specific surface area increasing principle and the specific surface area of each of the plurality of selectable conductive agents includes:
And selecting a conductive agent with a specific surface area larger than the current conductive agent and smaller than K times of the specific surface area of the current conductive agent from the plurality of selectable conductive agents as the target conductive agent according to the principle of increasing the specific surface area of the conductive agent, wherein K is a positive integer larger than or equal to 2, and if K is generally 3.
Although the larger the specific surface area of the conductive agent is, the better the conductivity of the battery is, the larger the specific surface area of the conductive agent is, the smaller the particle size of the conductive agent is, and the processing difficulty of the conductive agent is gradually increased, so when the target conductive agent is selected according to the principle of increasing the specific surface area of the conductive agent, the conductive agent with the specific surface area larger than the current conductive agent and smaller than K times the specific surface area of the current conductive agent is required to be selected from a plurality of selectable conductive agents to serve as the target conductive agent, wherein K is a positive integer larger than or equal to 2, and thus the formula requirement can be met, and the processing difficulty of the conductive agent is avoided.
Of course, a conductive agent having a particle diameter smaller than the current conductive agent and larger than the current conductive agent (1/M) may be selected as the target conductive agent from the plurality of selectable conductive agents according to the smaller particle diameter of the conductive agent, wherein M has a value of 5 to 10.
In some embodiments, the target host material is selected as follows:
determining a specific surface area and/or price of each of a plurality of selectable host materials;
Selecting the target main material from the plurality of selectable main materials according to a main material specific surface area reduction principle and the specific surface areas of the plurality of selectable main materials; and/or
The target host material is selected from the plurality of selectable host materials according to a host material price reduction principle and prices of each of the plurality of selectable host materials.
Since the larger the specific surface area of the selectable main material is, the harder the conductive agent covers the main material, and the easier the conductivity of the battery is, the main material with the specific surface area smaller than the specific surface area of the current main material can be selected from the plurality of selectable main materials as the target main material according to the principle of reducing the specific surface area of the main material and the specific surface areas of the plurality of selectable main materials; or alternatively
And selecting a low-price main material from the plurality of selectable main materials as a target main material according to the main material price reduction principle and the prices of the plurality of selectable main materials.
In some embodiments, the method further comprises:
And if the target conductive agent parameters of the battery comprise a plurality of target main material parameters and/or the target conductive agent parameters comprise a plurality of target main material parameters, screening the target conductive agent parameters and/or the target main material parameters according to the actual performance requirements of the battery to obtain final conductive agent parameters and/or final main material parameters.
Because the battery recipe requirement corresponding to the battery recipe determination instruction is generally a rough requirement, the determined target conductive performance parameter may be a range, so that the target conductive agent parameter of the battery may include a plurality of target main material parameters and/or a plurality of target conductive agent parameters may include a plurality of target main material parameters, and therefore, the target conductive agent parameters and/or the target main material parameters may be further screened according to the actual performance requirement to obtain the final conductive agent parameters and/or the final main material parameters which are most matched with the actual performance requirement, so that the selection accuracy of the conductive agent parameters and/or the main material parameters may be further improved, the number of battery recipe experiments is further reduced, and the experiment period is shortened.
The actual performance requirement refers to the requirement of the internal resistance of the battery in charge and discharge and the requirement of the power of the battery in charge and discharge.
The scheme of the present disclosure will be described with reference to fig. 2 as follows:
Obtaining physical parameters (specific surface area and addition amount) of a positive electrode/negative electrode main material of the battery and physical parameters (specific surface area) of different conductive agents;
calculating the addition amount of the conductive agent and/or the addition amount of the main material according to a preset conductive performance formula;
Determining the final additive amount of the conductive agent and/or the additive amount of the main material according to the actual performance requirements (the internal resistance requirement and the charge-discharge power requirement of the battery) of the battery;
Determining whether the final additive amount of the conductive agent and/or the additive amount of the main material meets the actual battery performance requirement or not through a DOE experiment;
the battery formulation (i.e., the amount of conductive agent added and/or the amount of primary material added to meet the actual battery performance requirements) is output.
The technical solution of the present disclosure will be further described below with reference to fig. 3 to 8:
The calculation formula of the conductivity parameter S (i.e., the preset conductivity formula) is as follows:
in the determination of different system formulas, the calculation and rationality judgment of the theoretical addition amount of the conductive agent are carried out by using the S coefficient;
Practical application 1: the original formula uses the conductive agent 1, the BET of the conductive agent 1 is 62 square meters per gram, as shown in the table 1, the novel conductive agent 3 is now to be introduced, the BET of the conductive agent 3 is 160 square meters per gram, as shown in the table 2, the addition amount of the conductive agent 3 needs to be determined how much can reach the performance level of the conductive agent 1 (wherein, each parameter in the first row in the table 1 and the table 2 is the specific surface area BET of each material in the second row, each parameter in the second row is the mass percent of each material in the second row, namely the addition amount, of course, the addition amount of all the conductive agents+the addition amount of the binder+the addition amount of the main material=100%, and the ternary material is the main material of the battery, and of course, the ternary material is subdivided into various types);
example 1 Table 1
| Material parameters | BET㎡/g | 0.63 | 62 | 300 | Adhesive agent |
| Formulation of | Composition of the components | Ternary material | Conductive agent 1 | Conductive agent 2 | PVDF |
| Formulation of | Content% | 95.60 | 0.80 | 0.60 | 3.00 |
(Example 2) Table 2
| Material parameters | BET㎡/g | 0.63 | 160 | 300 | Adhesive agent |
| Formulation of | Composition of the components | Ternary material | Novel conductive agent 3 | Conductive agent 2 | PVDF |
| Formulation of | Content% | 96.00 | 0.40 | 0.60 | 3.00 |
Calculating the S coefficient of the conductive agent 1 to be 381.2%, wherein the meaning of the S coefficient is how much times of the BET of the conductive agent is the BET of the main material, and the effectiveness and sufficiency of the conductive network can be reflected to a certain extent; since the conductive performance parameter S is basically unchanged, the addition amount of the novel conductive agent 3 can be determined to be 0.4% by taking the conductive performance parameter S as a constraint condition, that is, theoretical calculation is performed through the S coefficient, when the addition amount of the novel conductive agent 3 is 0.4%, the S coefficient is close to 0.8% of the addition amount of the conductive agent 1, and is 403.4%, the actual cell performance is as shown in fig. 3 and fig. 4, and the cell performance requirement is met (that is, the Charge and discharge internal resistances of the cells under different SOCs are basically unchanged, and the SOC is State of Charge, and is also called residual electric quantity).
Practical application 2: the formula S can be utilized to quickly match the addition amount of the conductive agent when the positive electrode or the negative electrode main material is changed, so that the formula determination efficiency is improved (wherein each row of explanation in the tables 3 and 4 is as shown in the tables 1 and 2, and the disclosure is not repeated);
Example 3 Table 3
| Material parameters | BET㎡/g | 0.86 | 80 | 250 | |
| Formulation of | Composition of the components | Ternary positive electrode 1 | Conductive agent 4 | Conductive agent 5 | Adhesive agent |
| Formulation of | Content% | 95.50 | 1.00 | 0.50 | 3.00 |
Example 4 Table 4
| Material parameters | BET㎡/g | 1.5 | 80 | 250 | |
| Formulation of | Composition of the components | Ternary positive electrode 2 | Conductive agent 4 | Conductive agent 5 | Adhesive agent |
| Formulation of | Content% | 94.30 | 2.00 | 0.70 | 3.00 |
In the process of converting the positive electrode main material, converting the positive electrode main material from the positive electrode main material 1 to the positive electrode main material 2, wherein the BET of the positive electrode main material 1 is 0.86, and the BET of the positive electrode main material 2 is 1.5; since the conduction performance parameter S is basically unchanged, the S coefficient value of example 3 is 249.6% by S coefficient calculation with this as a constraint condition; the addition amounts of the conductive agent 4 and the conductive agent 5 of the ternary positive electrode 2 can reach the performance level of the addition amount corresponding to the formula of the positive electrode main material 1 only when reaching 2% and 0.7%, as shown in fig. 5 and 6, so that the determined addition amount is relatively accurate, the experimental verification amount of an actual DOE can be reduced, and the cost is saved.
Practical application 3: in the formula determining process, the multiplying power performance of the battery core is required to be improved sometimes, the internal resistance of the battery core is required to be greatly reduced, and the influence on the improvement estimation of the battery core performance is required to be estimated by using different conductive agents;
Example 5 Table 5
| Material parameters | BET㎡/g | 0.6 | 70 | 350 | |
| Formulation of | Composition of the components | Ternary element | Conductive agent 6 | Conductive agent 7 | PVDF |
| Formulation of | Content% | 96.00 | 1.00 | 0.50 | 2.50 |
Example 6 Table 6
| Material parameters | BET㎡/g | 0.6 | 160 | 900 | |
| Formulation of | Composition of the components | Ternary element | Conductive agent 8 | Conductive agent 9 | PVDF |
| Formulation of | Content% | 96.00 | 1.00 | 0.50 | 2.50 |
In example 5, using the conductive agent 6 and the conductive agent 7, the S coefficient of example 5 was calculated to be 425.3%; in the formula determination, a multiplying power optimization experiment is required to be carried out on the embodiment 5, so that the internal resistance of the battery cell is greatly reduced, and from the perspective of a conductive agent, a more effective conductive network is required to be built. The corresponding reaction is that on the S coefficient, the S coefficient of 6 is 1059% (the determination method of the addition amount in table 6 can increase the S coefficient, then the addition amounts of the conductive agent 8, the conductive agent 9 and the ternary are reversely deduced, of course, since all the three addition amounts are unknown, when determining the addition amount of one parameter, the other two addition amounts can be temporarily unchanged, then the other two addition amounts are slightly adjusted to obtain the final addition amount of the parameter, the determination of the addition amount of each parameter can be carried out according to the mode), the conductivity improvement is more obvious as shown in fig. 7 and 8, and the support of a preliminary theoretical calculation model is provided for the formula optimization.
Thus, according to the physical parameters of the positive/negative electrode material and the conductive agent, the addition amount and the addition type of the conductive agent are rapidly matched; the experimental period is shortened, the experimental quantity is reduced, and manpower and material resources are greatly saved.
It should be noted that, for simplicity of description, the foregoing method embodiments are all described as a series of acts, but it should be understood by those skilled in the art that the present disclosure is not limited by the order of acts described, as some steps may be performed in other orders or concurrently in accordance with the present disclosure. Further, those skilled in the art will also appreciate that the embodiments described in the specification are all alternative embodiments, and that the acts and modules referred to are not necessarily required by the present disclosure.
The foregoing is a description of embodiments of the method, and the following further describes embodiments of the present disclosure through examples of apparatus.
Fig. 9 shows a block diagram of a battery recipe determination device 900 according to an embodiment of the present disclosure. As shown in fig. 9, the apparatus 900 includes:
A monitoring module 910 configured to monitor a battery recipe determination instruction;
An obtaining module 920, configured to obtain a current conductive agent parameter and a current main material parameter of the battery in response to the battery recipe determination instruction;
a first determining module 930, configured to determine a current conductive performance parameter of the battery according to the current conductive agent parameter and the current main material parameter, and a preset correspondence between the conductive agent parameter, the main material parameter, and the conductive performance parameter;
And a second determining module 940, configured to determine a target conductive agent parameter and/or a target main material parameter of the battery according to the current conductive performance parameter and a battery recipe requirement corresponding to the battery recipe determining instruction.
It will be clear to those skilled in the art that, for convenience and brevity of description, specific working procedures of the described modules may refer to corresponding procedures in the foregoing method embodiments, which are not described herein again.
According to an embodiment of the present disclosure, the present disclosure further provides an electronic device, including:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform any one of the method embodiments described above.
According to an embodiment of the present disclosure, there is also provided a vehicle including: the battery recipe determination device according to the above embodiment or the electronic apparatus according to the above embodiment.
According to an embodiment of the present disclosure, there is also provided a non-transitory computer-readable storage medium storing computer instructions for causing the computer to perform any one of the method embodiments described above.
Fig. 10 shows a schematic block diagram of an electronic device 1000 that may be used to implement embodiments of the present disclosure. Electronic devices are intended to represent various forms of digital computers, such as laptops, desktops, workstations, personal digital assistants, servers, blade servers, mainframes, and other appropriate computers. The electronic device may also represent various forms of mobile devices, such as personal digital processing, cellular telephones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions, are meant to be exemplary only, and are not meant to limit implementations of the disclosure described and/or claimed herein.
The apparatus 1000 includes a computing unit 1001 that can perform various appropriate actions and processes according to a computer program stored in a Read Only Memory (ROM) 1002 or a computer program loaded from a storage unit 1008 into a Random Access Memory (RAM) 1003. In the RAM 1003, various programs and data required for the operation of the device 1000 can also be stored. The computing unit 1001, the ROM 1002, and the RAM 1003 are connected to each other by a bus 1004. An input/output (I/O) interface 1005 is also connected to bus 1004.
Various components in device 1000 are connected to I/O interface 1005, including: an input unit 1006 such as a keyboard, a mouse, and the like; an output unit 1007 such as various types of displays, speakers, and the like; a storage unit 1008 such as a magnetic disk, an optical disk, or the like; and communication unit 1009 such as a network card, modem, wireless communication transceiver, etc. Communication unit 1009 allows device 1000 to exchange information/data with other devices via a computer network, such as the internet, and/or various telecommunications networks.
The computing unit 1001 may be a variety of general and/or special purpose processing components having processing and computing capabilities. Some examples of computing unit 1001 include, but are not limited to, a Central Processing Unit (CPU), a Graphics Processing Unit (GPU), various specialized Artificial Intelligence (AI) computing chips, various computing units running machine learning model algorithms, a Digital Signal Processor (DSP), and any suitable processor, controller, microcontroller, etc. The computing unit 1001 performs the various methods and processes described above, such as method 100. For example, in some embodiments, the method 100 may be implemented as a computer software program tangibly embodied on a machine-readable medium, such as the storage unit 1008. In some embodiments, part or all of the computer program may be loaded and/or installed onto device 1000 via ROM 1002 and/or communication unit 1009. When the computer program is loaded into RAM 1003 and executed by computing unit 1001, one or more steps of method 100 described above may be performed. Alternatively, in other embodiments, the computing unit 1001 may be configured to perform the method 100 by any other suitable means (e.g., by means of firmware).
Various implementations of the systems and techniques described here above may be implemented in digital electronic circuitry, integrated circuit systems, field Programmable Gate Arrays (FPGAs), application Specific Integrated Circuits (ASICs), application Specific Standard Products (ASSPs), systems On Chip (SOCs), load programmable logic devices (CPLDs), computer hardware, firmware, software, and/or combinations thereof. These various embodiments may include: implemented in one or more computer programs, the one or more computer programs may be executed and/or interpreted on a programmable system including at least one programmable processor, which may be a special purpose or general-purpose programmable processor, that may receive data and instructions from, and transmit data and instructions to, a storage system, at least one input device, and at least one output device.
Program code for carrying out methods of the present disclosure may be written in any combination of one or more programming languages. These program code may be provided to a processor or controller of a general purpose computer, special purpose computer, or other programmable data processing apparatus such that the program code, when executed by the processor or controller, causes the functions/operations specified in the flowchart and/or block diagram to be implemented. The program code may execute entirely on the machine, partly on the machine, as a stand-alone software package, partly on the machine and partly on a remote machine or entirely on the remote machine or server.
In the context of this disclosure, a machine-readable medium may be a tangible medium that can contain, or store a program for use by or in connection with an instruction execution system, apparatus, or device. The machine-readable medium may be a machine-readable signal medium or a machine-readable storage medium. The machine-readable medium may include, but is not limited to, an electronic, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any suitable combination of the foregoing. More specific examples of a machine-readable storage medium would include an electrical connection based on one or more wires, a portable computer diskette, a hard disk, a Random Access Memory (RAM), a read-only memory (ROM), an erasable programmable read-only memory (EPROM or flash memory), an optical fiber, a portable compact disc read-only memory (CD-ROM), an optical storage device, a magnetic storage device, or any suitable combination of the foregoing.
To provide for interaction with a user, the systems and techniques described here can be implemented on a computer having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to a user; and a keyboard and pointing device (e.g., a mouse or trackball) by which a user can provide input to the computer. Other kinds of devices may also be used to provide for interaction with a user; for example, feedback provided to the user may be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user may be received in any form, including acoustic input, speech input, or tactile input.
The systems and techniques described here can be implemented in a computing system that includes a background component (e.g., as a data server), or that includes a middleware component (e.g., an application server), or that includes a front-end component (e.g., a user computer having a graphical user interface or a web browser through which a user can interact with an implementation of the systems and techniques described here), or any combination of such background, middleware, or front-end components. The components of the system can be interconnected by any form or medium of digital data communication (e.g., a communication network). Examples of communication networks include: local Area Networks (LANs), wide Area Networks (WANs), and the internet.
The computing system may include clients and servers. The client and server are typically remote from each other and typically interact through a communication network. The relationship of client and server arises by virtue of computer programs running on the respective computers and having a client-server relationship to each other. The server may be a cloud server, a server of a distributed system, or a server incorporating a blockchain.
It should be appreciated that various forms of the flows shown above may be used to reorder, add, or delete steps. For example, the steps recited in the present disclosure may be performed in parallel or sequentially or in a different order, provided that the desired results of the technical solutions of the present disclosure are achieved, and are not limited herein.
The above detailed description should not be taken as limiting the scope of the present disclosure. It will be apparent to those skilled in the art that various modifications, combinations, sub-combinations and alternatives are possible, depending on design requirements and other factors. Any modifications, equivalent substitutions and improvements made within the spirit and principles of the present disclosure are intended to be included within the scope of the present disclosure.
Claims (12)
1.A method of determining a battery formulation, comprising:
monitoring a battery recipe determination instruction;
Responding to the battery formula determining instruction, and acquiring current conductive agent parameters and current main material parameters of the battery;
Determining the current conductivity parameter of the battery according to the current conductivity parameter, the current main material parameter and a preset corresponding relation among the conductivity parameter, the main material parameter and the conductivity parameter;
And determining a target conductive agent parameter and/or a target main material parameter of the battery according to the current conductive performance parameter and the battery formula requirement corresponding to the battery formula determining instruction.
2. The method of claim 1, wherein the determining the target conductive agent parameter of the battery according to the current conductive performance parameter and the battery recipe requirement corresponding to the battery recipe determination instruction comprises:
If the requirement of the battery formula is to maintain the conductivity of the battery and replace the current conductive agent of the battery and/or maintain the conductivity of the battery and replace the current main material of the battery, determining a target conductivity parameter according to the current conductivity parameter and a preset allowable performance deviation;
and determining the target conductive agent parameter and/or the target main material parameter according to the target conductive performance parameter.
3. The method of claim 1, wherein the determining the target conductive agent parameter of the battery according to the current conductive performance parameter and the battery recipe requirement corresponding to the battery recipe determination instruction comprises:
If the battery formula requirement is to improve the conductivity of the battery, determining a target conductivity parameter according to the battery formula requirement and the current conductivity parameter;
and determining the target conductive agent parameter and/or the target main material parameter according to the target conductive performance parameter.
4. A method according to claim 2 or 3, characterized in that,
The target conductive agent parameters include: the addition amount of the target conductive agent after replacement;
the target host material parameters include: the addition amount of the target main material after replacement;
The determining the target conductive agent parameter and/or the target main material parameter according to the target conductive performance parameter comprises:
If the current main material is unchanged, determining the addition amount of the target conductive agent according to the target conductive performance parameter, the specific surface area of the target conductive agent, the specific surface area of the current main material and the addition amount of the current main material;
If the current main material is required to be replaced as the target main material, determining the addition amount of the target conductive agent and the addition amount of the target main material according to the target conductive performance parameter, the specific surface area of the target conductive agent and the specific surface area of the target conductive agent.
5. The method of claim 4, wherein the step of selecting the target conductive agent is as follows:
determining a specific surface area and/or price of each of the plurality of selectable conductive agents;
selecting the target conductive agent from the plurality of selectable conductive agents according to a conductive agent specific surface area increasing principle and the specific surface areas of the plurality of selectable conductive agents; and/or
The target conductive agent is selected from the plurality of selectable conductive agents according to a conductive agent price reduction principle and prices of the plurality of selectable conductive agents, respectively.
6. The method of claim 5, wherein selecting the target conductive agent from the plurality of selectable conductive agents according to a conductive agent specific surface area increasing principle and a specific surface area of each of the plurality of selectable conductive agents comprises:
And selecting a conductive agent with a specific surface area larger than the current conductive agent and smaller than K times of the specific surface area of the current conductive agent from the plurality of selectable conductive agents as the target conductive agent according to the principle of increasing the specific surface area of the conductive agent, wherein K is a positive integer larger than or equal to 2.
7. The method of claim 4, wherein the target host material is selected as follows:
determining a specific surface area and/or price of each of a plurality of selectable host materials;
Selecting the target main material from the plurality of selectable main materials according to a main material specific surface area reduction principle and the specific surface areas of the plurality of selectable main materials; and/or
The target host material is selected from the plurality of selectable host materials according to a host material price reduction principle and prices of each of the plurality of selectable host materials.
8. The method according to claim 1, wherein the method further comprises:
And if the target conductive agent parameters of the battery comprise a plurality of target main material parameters and/or the target conductive agent parameters comprise a plurality of target main material parameters, screening the target conductive agent parameters and/or the target main material parameters according to the actual performance requirements of the battery to obtain final conductive agent parameters and/or final main material parameters.
9. A battery recipe determination apparatus, comprising:
The monitoring module is used for monitoring the battery formula determining instruction;
The acquisition module is used for responding to the battery formula determining instruction and acquiring the current conductive agent parameters and the current main material parameters of the battery;
The first determining module is used for determining the current conductive performance parameter of the battery according to the current conductive agent parameter, the current main material parameter, the preset corresponding relation among the conductive agent parameter, the main material parameter and the conductive performance parameter;
And the second determining module is used for determining the target conductive agent parameter and/or the target main material parameter of the battery according to the current conductive performance parameter and the battery formula requirement corresponding to the battery formula determining instruction.
10. An electronic device, comprising:
at least one processor; and
A memory communicatively coupled to the at least one processor; wherein,
The memory stores instructions executable by the at least one processor to enable the at least one processor to perform the method of any one of claims 1-8.
11. A non-transitory computer readable storage medium storing computer instructions for causing the computer to perform the method of any one of claims 1-8.
12. A vehicle, characterized by comprising: a battery recipe determination apparatus as claimed in claim 9, and/or an electronic device as claimed in claim 10, and/or a readable storage medium as claimed in claim 11.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211284292.7A CN117917739A (en) | 2022-10-20 | 2022-10-20 | Battery formula determining method, device and equipment |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202211284292.7A CN117917739A (en) | 2022-10-20 | 2022-10-20 | Battery formula determining method, device and equipment |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN117917739A true CN117917739A (en) | 2024-04-23 |
Family
ID=90729534
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202211284292.7A Pending CN117917739A (en) | 2022-10-20 | 2022-10-20 | Battery formula determining method, device and equipment |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN117917739A (en) |
-
2022
- 2022-10-20 CN CN202211284292.7A patent/CN117917739A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN114624604A (en) | Battery life prediction model generation method, battery life prediction model prediction method, battery life prediction device, and electronic equipment | |
| CN116341297A (en) | Battery simulation method, device, electronic equipment and computer readable storage medium | |
| CN115840144A (en) | Battery simulation calculation method and device, computer equipment and storage medium | |
| CN115372841A (en) | Method and device for evaluating thermal runaway risk of lithium ion battery monomer | |
| US20240055872A1 (en) | Charging method of energy storage power supply, charging apparatus therefor, device, and medium | |
| CN109840353B (en) | Lithium ion battery two-factor inconsistency prediction method and device | |
| US20240053402A1 (en) | Method for analyzing battery life degradation, storage medium, and electronic device | |
| CN115951236B (en) | Lithium battery state monitoring method, system, device and storage medium | |
| CN117917739A (en) | Battery formula determining method, device and equipment | |
| CN109376051A (en) | Detect the method and terminal device of mobile device application program power consumption | |
| CN116504322A (en) | Electrochemical model acquisition method, device, terminal and storage medium | |
| CN117408202A (en) | Solar cell simulation method and device, computer equipment and storage medium | |
| CN117096478A (en) | Battery capacity-dividing method and device, electronic equipment and storage medium | |
| CN112332493A (en) | Lithium battery charging current determination method, device, equipment and storage medium | |
| CN114069667B (en) | Energy storage group power distribution method, system, processing equipment and storage medium | |
| CN114200315B (en) | Method and device for predicting remaining charging time, electronic equipment and storage medium | |
| CN115656858A (en) | Battery life determining method and device, electronic equipment and storage medium | |
| CN115952054A (en) | Simulation task resource management method, device, equipment and medium | |
| CN116191404A (en) | Distributed power generation prediction method and device, electronic equipment and storage medium | |
| CN115207421A (en) | Energy supply method and device for battery system, electronic equipment and storage medium | |
| CN114089204A (en) | Battery capacity diving inflection point prediction method and device | |
| CN118153254A (en) | Method, device and equipment for acquiring lithium intercalation range of battery electrode | |
| CN117410530B (en) | Power control method, device, equipment and medium of fuel cell engine | |
| CN117674330A (en) | Charging and discharging current information adjustment method, device and equipment | |
| CN117747991A (en) | Method, apparatus, device and computer readable storage medium for charging series battery pack |
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 |