CN112803092B - Battery pack thermal management method, system and storage medium - Google Patents
Battery pack thermal management method, system and storage medium Download PDFInfo
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- CN112803092B CN112803092B CN202011608501.XA CN202011608501A CN112803092B CN 112803092 B CN112803092 B CN 112803092B CN 202011608501 A CN202011608501 A CN 202011608501A CN 112803092 B CN112803092 B CN 112803092B
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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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/61—Types of temperature control
- H01M10/613—Cooling or keeping cold
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- G—PHYSICS
- G06—COMPUTING; CALCULATING OR COUNTING
- G06F—ELECTRIC DIGITAL DATA PROCESSING
- G06F17/00—Digital computing or data processing equipment or methods, specially adapted for specific functions
- G06F17/10—Complex mathematical operations
- G06F17/11—Complex mathematical operations for solving equations, e.g. nonlinear equations, general mathematical optimization problems
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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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/61—Types of temperature control
- H01M10/615—Heating or keeping warm
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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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/63—Control systems
- H01M10/633—Control systems characterised by algorithms, flow charts, software details or the like
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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
- H01M10/60—Heating or cooling; Temperature control
- H01M10/63—Control systems
- H01M10/635—Control systems based on ambient temperature
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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
- 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
Abstract
The invention relates to a battery pack thermal management method, a system and a storage medium, wherein the method comprises the steps of obtaining the minimum heating/cooling rate of a battery, the maximum heating/cooling rate difference and the maximum bottom temperature/maximum refrigerating power of the battery, and preliminarily formulating thermophysical parameters of a heat-conducting adhesive layer; determining a first thermophysical parameter maximum value of the heat-conducting adhesive layer through the minimum heating/cooling rate of the battery, determining a second thermophysical parameter maximum value through the maximum bottom temperature/maximum refrigerating power of the battery, ensuring the accuracy of determining the thermophysical parameter maximum value, determining a fluctuation amplitude value through the maximum heating/cooling rate difference value, correcting a fluctuation range corresponding to the fluctuation amplitude value according to the thermophysical parameter maximum value, and determining a reasonable fluctuation range; the problems of manufacturing tolerance and cost are considered in the design stage, a reasonable fluctuation range is provided while the use requirement of the product is met, overhigh manufacturing cost is avoided, and the fluctuation range with the highest cost performance can be obtained according to the reasonable fluctuation range.
Description
Technical Field
The invention relates to the technical field of information processing, in particular to a battery pack thermal management method, a battery pack thermal management system and a storage medium.
Background
The battery is a core component in the electric automobile; in order to improve the performance of the battery, the working temperature of the battery needs to be controlled within a certain range; especially in low-temperature environment, the activity of the battery is obviously reduced, and the use experience is influenced. Therefore, the battery needs to be heated at a low temperature, a PTC (positive temperature coefficient thermistor) is a feasible solution for heating the bottom of the battery, and a layer of heat-conducting glue is often added between the PTC and the battery in order to improve the heat transfer power. In a high-temperature environment, the battery is easy to generate thermal runaway, and water cooling is the mainstream cooling scheme. In order to reduce the contact thermal resistance and improve the uniformity, a layer of heat-conducting glue is often added between the water cooling and the battery; as shown in fig. 1, a layer of thermally conductive adhesive 2 is provided between a heating or cooling device 1 and the bottom of a battery 3.
Battery pack thermal management is one of the core technologies within the power battery industry. The low-temperature heating rate and the high-temperature cooling rate directly influence the service life of the battery and the use experience of a customer, and in order to better design a heating device and a cooling device, a thermal simulation method is generally adopted to evaluate whether the heating rate, the cooling rate and the temperature of the battery meet the requirements or not; because the manufacturing process of the heat-conducting adhesive layer has processing tolerance, the actual product characteristics of the heat-conducting adhesive layer inevitably fluctuate within a certain range and cannot be completely consistent with the design state, for example, the thickness, the heat conductivity coefficient, the specific heat capacity and the like of the adhesive layer fluctuate within a certain range; with high precision machining equipment, fluctuations and machining tolerances can be reduced, but the cost is greatly increased; the cost is low using low precision processing equipment, but the sample characteristics may deviate significantly from the design conditions.
Disclosure of Invention
The invention aims to provide a battery pack thermal management method, a battery pack thermal management system and a storage medium, which take manufacturing tolerance and cost problems into consideration in the design stage, provide an optimal fluctuation range and avoid overhigh manufacturing cost while meeting the use requirements of heat-conducting adhesive layer products.
The technical scheme for solving the technical problems is as follows: a battery pack thermal management method, the battery pack thermal management method comprising:
acquiring a minimum heating/cooling rate, a maximum heating/cooling rate difference and a maximum bottom temperature/maximum cooling power of the battery;
preliminarily drawing up thermophysical parameters of the heat-conducting adhesive layer, and determining the heating/cooling rate and the bottom temperature/refrigerating power of the battery according to the thermophysical parameters;
determining a first thermophysical property parameter maximum value according to the heating/cooling rate and the minimum heating/cooling rate of the battery;
determining a second thermophysical property parameter maximum value according to the battery bottom temperature/refrigeration power and the battery highest bottom temperature/highest refrigeration power;
determining the fluctuation amplitude of the thermophysical property parameter according to the maximum heating/cooling rate difference;
and correcting the fluctuation range corresponding to the fluctuation amplitude value according to the first thermophysical parameter maximum value and the second thermophysical parameter maximum value to obtain a reasonable fluctuation range, and determining the optimal fluctuation range according to the reasonable fluctuation range, the heating/cooling rate and the battery bottom temperature/refrigeration power.
The invention has the beneficial effects that: preliminarily drawing up thermophysical parameters of the heat-conducting adhesive layer, and obtaining a minimum heating/cooling rate, a maximum heating/cooling rate difference value and a maximum bottom temperature/maximum refrigerating power of the battery, wherein the thermophysical parameters of the heat-conducting adhesive layer determine the heating/cooling rate and the maximum bottom temperature/maximum refrigerating power of the battery; determining a first thermophysical parameter maximum value of the heat-conducting adhesive layer through the minimum heating/cooling rate of the battery, determining a second thermophysical parameter maximum value through the maximum bottom temperature/maximum refrigerating power of the battery, ensuring the accuracy of determining the thermophysical parameter maximum value, determining a fluctuation amplitude value through the maximum heating/cooling rate difference, correcting the fluctuation amplitude value according to the thermophysical parameter maximum value, determining a reasonable fluctuation range of the thermophysical parameters of the heat-conducting adhesive layer, considering the problems of manufacturing tolerance and cost in the design stage, giving out a reasonable fluctuation range while meeting the use requirement of a product, avoiding overhigh manufacturing cost, and simultaneously ensuring the safety of an electric core and the heat management performance of a battery system; and the fluctuation range with the highest cost performance can be obtained according to the reasonable fluctuation range.
On the basis of the technical scheme, the invention can be further improved as follows:
further, the thermophysical property parameter comprises glue line thickness, heat conductivity coefficient or specific heat capacity.
The beneficial effect of adopting the further scheme is that: the thickness, the heat conductivity coefficient or the specific heat capacity of the heat-conducting glue strongly influence the heat management performance, and meanwhile, the thickness, the heat conductivity coefficient or the specific heat capacity of the glue layer is difficult to ensure to be completely equal to the design value in the production process, so that the determination of the reasonable fluctuation range is very important.
Further, the determining a heating/cooling rate and a battery bottom temperature/cooling power from the thermophysical parameter comprises:
when the heating/cooling rate is less than the minimum heating/cooling rate, or the battery bottom temperature/cooling power is greater than the battery highest bottom temperature/highest cooling power, adjusting basic parameters of a heating device/cooling device positioned below the heat-conducting adhesive layer.
The beneficial effect of adopting the further scheme is that: whether the design scheme of the heating/cooling device is feasible or not is judged by comparing the calculated heating/cooling rate and the battery bottom temperature/cooling power with the minimum heating/cooling rate and the battery maximum bottom temperature/maximum cooling power required by the user, and the accuracy of the scheme in the design stage is improved.
Further, the determining a first thermophysical parameter maximum value according to the heating/cooling rate and the battery minimum heating/cooling rate comprises:
fitting the heating/cooling rate to a polynomial to obtain a formula with the thermophysical parameter value as a variable:
V＝a1·tn+a2·tn-1+...+an-1·t2+an·t+an+1＝f(t)；
and (f) (t) is subjected to inverse function processing to obtain a formula:
t＝f-1(V)；
the formula is derived from the minimum heating/cooling rate of the battery:
t_max＝f-1(V_min)；
t _ max is the maximum value of the thermophysical parameter, V and f (t) are heating rate/cooling rate, a is a polynomial parameter, n is more than or equal to 4, t is the thermophysical parameter value, and V _ min is the minimum heating/cooling rate of the battery.
The beneficial effect of adopting the further scheme is that: the heating/cooling rate is determined by the thermophysical parameter value of the heat-conducting adhesive layer, and the maximum value of the thermophysical parameter of the heat-conducting adhesive layer is determined by the minimum heating/cooling rate of the battery, so that the accuracy and the reliability of the most value determination of the thermophysical parameter are ensured.
Further, the determining a second thermophysical property parameter maximum value according to the battery bottom temperature/refrigeration power and the battery maximum bottom temperature/maximum refrigeration power includes:
fitting a polynomial to the bottom temperature/refrigeration power to obtain a formula by taking the thermophysical parameter value as a variable:
Tcell＝b1·tn+b2·tn-1+...+bn-1·t2+bn·t+bn+1＝g(t)；
performing inverse function processing on the g (t) to obtain a formula:
t＝g-1(Tcell)；
obtaining a formula according to the highest bottom temperature/highest refrigerating power of the battery:
t_min＝g-1(Tcell_max)；
the t _ min is the minimum value of the thermophysical parameter, the Tcell and the g (t) are the bottom temperature/the highest refrigerating power of the battery, b is a polynomial parameter, n is more than or equal to 4, t is a thermophysical parameter value, and Tcell _ max is the highest bottom temperature/the highest refrigerating power of the battery.
The beneficial effect of adopting the further scheme is that: the maximum bottom temperature/the maximum refrigerating power of the battery are determined according to the thermophysical parameter values of the heat-conducting adhesive layer, and the minimum value of the thermophysical parameter is determined according to the maximum bottom temperature/the maximum refrigerating power of the battery, so that the accuracy and the reliability of the maximum determination of the thermophysical parameter are ensured.
Further, the determining the thermophysical parameter fluctuation amplitude according to the maximum rate difference comprises:
the formula is calculated according to the heating/cooling rate range: vrange ═ f (t-delta) -f (t + delta);
from the maximum heating/cooling rate difference:
Vrange_max＝Vrange＝f(t-delta)-f(t+delta)；
constant ═ a1[(t-delta)n-(t+delta)n]+a2[(t-delta)n-1-(t+delta)n-1]+...+an[(t-delta)-(t+delta)]
Dividing [ t _ min, t _ max ] into m parts equally, and calculating delta corresponding to each t;
fitting a polynomial to the fluctuation amplitude of the thermophysical parameter by taking the thermophysical parameter value as a variable to obtain a formula:
delta＝c1·tn+c2·tn-1+...+cn-1·t2+cn·t+cn+1＝z(t)
vrage is heating/cooling rate range, c is polynomial parameter, n is more than or equal to 4, Vrage _ max is maximum heating/cooling rate difference, delta and z (t) thermophysical parameter fluctuation amplitude, and m is positive integer.
The beneficial effect of adopting the further scheme is that: the heating rate range is determined by the thermophysical parameter value and the fluctuation auxiliary value, and the fluctuation auxiliary value needs to be changed when the thermophysical parameter value changes due to the known maximum heating/cooling rate difference, so that the corresponding relation between the thermophysical parameter value and the fluctuation auxiliary value is obtained.
Further, the correcting the thermophysical parameter fluctuation amplitude according to the first thermophysical parameter maximum value and the second thermophysical parameter maximum value to obtain a reasonable fluctuation range includes:
the range (t) is a reasonable fluctuation range.
The beneficial effect of adopting the further scheme is that: and if the thermal property parameters have upper and lower maximum values and the fluctuation range possibly exceeds the upper and lower maximum values, correcting the fluctuation range corresponding to the fluctuation amplitude to determine the reasonable fluctuation range of the thermal property parameters of the heat-conducting adhesive layer, considering the problems of manufacturing tolerance and cost in the design stage, meeting the use requirement of the product, giving the reasonable fluctuation range and avoiding overhigh manufacturing cost.
Further, the determining an optimal design scheme according to the reasonable fluctuation range, the heating/cooling rate and the battery bottom temperature/cooling power includes:
calculating score values of the reasonable fluctuation range, the heating/cooling rate and the bottom temperature/refrigeration power factors;
taking the fluctuation range corresponding to the factor with the highest score as the optimal fluctuation range;
the p1, p2, p3 are the weights of reasonable fluctuation range, heating/cooling rate and bottom temperature/cooling power, respectively.
The beneficial effect of adopting the further scheme is that: the scheme with the highest cost performance can be obtained according to a reasonable fluctuation range and in combination with user requirements.
In order to solve the above problems, the present invention further provides a battery pack thermal management control system, which includes a requirement acquisition module, a parameter determination module, and an optimal design determination module;
the demand acquisition module is used for acquiring the minimum heating/cooling rate, the maximum heating/cooling rate difference and the maximum bottom temperature/maximum refrigerating power of the battery;
the parameter determination module is used for preliminarily drawing up thermophysical parameters of the heat-conducting adhesive layer and determining the heating/cooling rate and the bottom temperature/refrigerating power of the battery according to the thermophysical parameters; determining a first thermophysical property parameter maximum value according to the heating/cooling rate and the minimum heating/cooling rate of the battery; determining a second thermophysical property parameter maximum value according to the battery bottom temperature/refrigeration power and the battery highest bottom temperature/highest refrigeration power; determining the fluctuation amplitude of the thermophysical property parameter according to the maximum heating/cooling rate difference;
and the optimal design determining module is used for correcting the fluctuation range corresponding to the fluctuation amplitude value according to the first thermophysical parameter maximum value and the second thermophysical parameter maximum value to obtain a reasonable fluctuation range, and determining the optimal fluctuation range according to the reasonable fluctuation range, the heating/cooling rate and the battery bottom temperature/refrigeration power.
In order to solve the above problem, the present invention also provides a storage medium storing one or more computer programs executable by one or more processors to implement the steps of the battery pack thermal management method as described above.
Drawings
Fig. 1 is a schematic diagram illustrating a battery temperature heating/cooling structure provided in the prior art;
fig. 2 is a schematic flowchart illustrating a method for thermal management of a battery pack according to an embodiment of the present invention;
FIG. 3 is a schematic diagram of another battery temperature heating/cooling configuration according to an embodiment of the present invention;
FIG. 4 is a schematic diagram illustrating the effect of a fluctuation range, heating/cooling rate and bottom temperature/cooling power scheme provided by an embodiment of the present invention;
fig. 5 is a schematic structural diagram of a battery pack thermal management system according to an embodiment of the present invention.
Detailed Description
The technical solutions in the embodiments of the present invention will be clearly and completely described below with reference to the drawings in the embodiments of the present invention. It is to be understood that the described embodiments are merely exemplary of the invention, and not restrictive of the full scope of the invention. All other embodiments that can be derived by one of ordinary skill in the art from the embodiments given herein are intended to be within the scope of the present invention.
Example 1
As shown in fig. 2, fig. 2 is a flowchart of a battery pack thermal management method according to an embodiment of the present invention, where the battery pack thermal management method includes:
s201, acquiring a minimum heating/cooling rate, a maximum heating/cooling rate difference and a maximum bottom temperature/maximum cooling power of the battery;
s202, preliminarily drawing up thermophysical parameters of the heat-conducting adhesive layer, and determining a heating/cooling rate and a battery bottom temperature/refrigerating power according to the thermophysical parameters;
s203, determining the maximum value of the first thermophysical property parameter according to the heating/cooling rate and the minimum heating/cooling rate of the battery;
s204, determining a second thermophysical property parameter maximum value according to the battery bottom temperature/refrigeration power and the battery highest bottom temperature/highest refrigeration power;
s205, determining a thermophysical property parameter fluctuation amplitude according to the maximum heating/cooling rate difference;
s206, modifying the fluctuation range corresponding to the fluctuation amplitude value according to the first thermophysical parameter maximum value and the second thermophysical parameter maximum value to obtain a target fluctuation range, and determining the optimal fluctuation range according to the target fluctuation range, the heating/cooling rate and the battery bottom temperature/refrigeration power.
In this embodiment, the thermophysical parameters of the thermal adhesive layer are preliminarily formulated, and the minimum heating/cooling rate, the maximum heating/cooling rate difference, and the maximum bottom temperature/maximum cooling power of the battery are obtained, and the heating/cooling rate and the maximum bottom temperature/maximum cooling power of the battery are determined by the thermophysical parameters of the thermal adhesive layer; determining a first thermophysical parameter maximum value of the heat-conducting adhesive layer through the minimum heating/cooling rate of the battery, determining a second thermophysical parameter maximum value through the maximum bottom temperature/maximum refrigerating power of the battery, ensuring the accuracy of determining the thermophysical parameter maximum value, determining a fluctuation amplitude value through the maximum heating/cooling rate difference, correcting a fluctuation range corresponding to the fluctuation amplitude value according to the thermophysical parameter maximum value, determining a reasonable fluctuation range of the thermophysical parameter of the heat-conducting adhesive layer, considering the problems of manufacturing tolerance and cost in a design stage, giving a reasonable fluctuation range while meeting the use requirement of a product, avoiding overhigh manufacturing cost, and simultaneously ensuring the safety of a battery core and the thermal management performance of a battery system; and the fluctuation range with the highest cost performance can be obtained according to the reasonable fluctuation range.
The minimum heating/cooling rate, the maximum heating/cooling rate difference and the maximum bottom temperature/maximum cooling power of the battery obtained in S201 are the thermal management requirements of the user on the battery system, and the fluctuation range of the subsequent thermal conductive adhesive layer is determined according to the indexes which are provided by the user and are known to be satisfied by the user.
In this embodiment, the thermal property parameter of the thermal adhesive layer includes adhesive layer thickness, thermal conductivity or specific heat capacity. For a ctp (cell to pack) battery pack, the thickness, the thermal conductivity coefficient or the specific heat capacity of the thermal conductive adhesive strongly influences the thermal management performance, and meanwhile, the thickness, the thermal conductivity coefficient or the specific heat capacity of the adhesive layer is difficult to ensure to be completely equal to the design value in the production process, so that it is very important to determine the reasonable fluctuation range of the adhesive layer.
In S202, specifically based on the thermodynamic calculation principle, the heating/cooling rate and the battery bottom temperature/refrigeration power are calculated according to the thermophysical parameters; the specific thermodynamic principles are not described in detail herein.
Further, the heating/cooling rate and the battery bottom temperature/cooling power may be compared with the minimum heating/cooling rate and the battery maximum bottom temperature/maximum cooling power required by the user, and whether the user's requirement is met is determined, and if the user's requirement is not met, that is, the heating/cooling rate is less than the minimum heating/cooling rate, or if the battery bottom temperature is greater than the battery maximum bottom temperature or the cooling power is greater than the maximum cooling power, the basic parameters of the heating device/cooling device, such as the size, the water temperature, the heating power or the materials, may be adjusted so as to meet the user's requirement. When the requirement of the user is met, the fluctuation range of the thermophysical property parameter is further determined.
In this embodiment, the thermophysical parameter is a thickness of the adhesive layer or a specific heat capacity, and S203 specifically includes:
fitting a heating/cooling rate polynomial to obtain a formula by taking the thermophysical parameters as variables:
V＝a1·tn+a2·tn-1+...+an-1·t2+an·t+an+1(1) ═ f (t); this formula (1) indicates that the heating rate/cooling rate differs depending on the value of the thermophysical property parameter;
and f (t) is processed by an inverse function to obtain a formula:
t＝f-1(V) (2)；
it will be appreciated that the greater the value of the thermophysical parameter, the slower the heating/cooling rate, and knowing the minimum heating/cooling rate requirement of the battery, the maximum value of the thermophysical parameter is determined according to equation (2) and the minimum heating/cooling rate of the battery:
t_max＝f-1(V_min) (3)；
t _ max is the maximum value of the thermophysical parameter, V and f (t) are heating rate/cooling rate, a is a polynomial parameter, n is more than or equal to 4, t is the thermophysical parameter value, and V _ min is the minimum heating/cooling rate of the battery.
In this embodiment, S204 specifically includes:
fitting a polynomial on the temperature/refrigeration power at the bottom of the battery by taking the thermophysical parameters as variables to obtain a formula:
Tcell＝b1·tn+b2·tn-1+...+bn-1·t2+bn·t+bn+1＝g(t) (4)，
the equation (4) indicates that the battery bottom temperature/the cooling power of the vehicle differs depending on the value of the thermophysical parameter;
and f (t) is processed by an inverse function to obtain a formula:
t＝g-1(Tcell) (5)；
it will be appreciated that the smaller the thermophysical parameter value, the slower the heating/cooling rate, and knowing the battery maximum bottom temperature/maximum cooling power requirement, the minimum thermophysical parameter value is obtained according to equation (5) and battery maximum bottom temperature/maximum cooling power:
t_min＝g-1(Tcell_max)；
t _ min is the minimum value of the thermophysical parameter, Tcell and g (t) are the bottom temperature/the highest refrigerating power of the battery, b is a polynomial parameter, n is more than or equal to 4, t is the thermophysical parameter value, and Tcell _ max is the highest bottom temperature/the highest refrigerating power of the battery.
In this embodiment, S205 specifically includes:
the formula is calculated according to the heating/cooling rate range: vrange ═ f (t-delta) -f (t + delta) (6); two variables of t and delta are shown to determine the size of Vrande;
from the maximum rate difference:
Vrange_max＝Vrange＝f(t-delta)-f(t+delta)；
dividing [ t _ min, t _ max ] into m parts equally, and calculating delta corresponding to each t;
fitting a polynomial to the fluctuation amplitude by taking the thermophysical parameter value as a variable to obtain a formula:
delta＝c1·tn+c2·tn-1+...+cn-1·t2+cn·t+cn+1z (t) (8); means t determines the magnitude of delta;
vrage is heating/cooling rate range, c is polynomial parameter, n is not less than 4, Vrage _ max is maximum heating/cooling rate difference, delta and z (t) are thermophysical parameter fluctuation amplitude, and m is positive integer.
Assuming that the fluctuation of the thermal property parameter is centered on the thermal property parameter and the fluctuation amplitude is delta, the initial fluctuation range is (t-delta, t + delta), and in the fluctuation range, the fluctuation range of the heating/cooling rate also exists, and the heating/cooling rate range is the fastest heating/cooling rate minus the slowest heating/cooling rate, wherein the fastest heating/cooling rate is f (t-delta) and the slowest heating/cooling rate is f (t + delta). Since the maximum rate difference required by the user is constant Vrange _ max, and Vrange _ max is f (t-delta) -f (t + delta), that is, when t changes, delta also needs to change, t _ min and t _ max are upper and lower limits, and are equally divided into m parts, the delta corresponding to each t is obtained, and then a polynomial is fitted to the data sets, so that the data set can be obtained: delta ═ c1·tn+c2·tn-1+...+cn-1·t2+cn·t+cn+1Z (t); therefore, delta can be determined by t, and is obtained as z (t), which represents the maximum allowable fluctuation coefficient delta when the thermophysical property parameter is t, and the corresponding fluctuation coefficient is 2 x delta 2 x z (t).
In the present embodiment, S206 includes:
range (t) is the target fluctuation range.
It can be understood that the thermophysical property parameter has a maximum value t _ max and a minimum value t _ min, the fluctuation range t + delta corresponding to the fluctuation auxiliary value may exceed the upper limit, and the t-delta may exceed the lower limit, and the fluctuation range needs to be corrected; specifically, when t + delta > t _ max, the fluctuation range is 2 × delta- (t + delta-t _ max); when t-delta < t _ min, the fluctuation range is 2 × delta- (t _ min-t + delta); otherwise, the t + delta is less than or equal to _ max, and the t-delta is more than or equal to the t _ min fluctuation range and is 2 × delta; the processing cost is reduced to the maximum extent while the heat management performance requirement and the battery safety are ensured.
It can be understood that when the battery is heated at low temperature/cooled at high temperature, the fluctuation ranges of the heating/cooling rate, the bottom temperature/cooling power and the thickness of the heat-conducting glue need to be concerned, and the three factors of the heating/cooling rate, the bottom temperature/cooling power and the fluctuation ranges cannot be obtained; in order to comprehensively consider the three factors, a scheme which best meets the requirement needs to be determined. Step S206 of this embodiment specifically further includes:
calculating the score values of the target fluctuation range, the heating/cooling rate and the battery bottom temperature/refrigeration power factors; taking the fluctuation range corresponding to the factor with the highest score as the optimal fluctuation range;
p1, p2, p3 are the weights for reasonable fluctuation range, heating/cooling rate and battery bottom temperature/cooling power, respectively.
In this embodiment, different weights may be assigned to the fluctuation range, the heating/cooling rate, and the bottom temperature/cooling power according to different requirements of users, for example, when the production cost is to be strictly controlled, a weight value of 0.8 is assigned to the fluctuation range, the weight values of the heating/cooling rate and the bottom temperature/cooling power of the battery are respectively 0.1, and if t is 1mm and the score of the fluctuation range is the highest, the fluctuation range when t is 1mm is selected as the optimal fluctuation range.
It should be noted that, in some embodiments, the above calculation principle of the optimal fluctuation range is also applied to the thermal conductivity, but the expressions min or max, the upper limit or the lower limit, etc. may need to be exchanged according to circumstances, specifically, when the thermal property parameter is the thermal conductivity, S203 specifically includes:
fitting a heating/cooling rate polynomial to obtain a formula by taking the thermophysical parameters as variables:
V＝a1·tn+a2·tn-1+...+an-1·t2+an·t+an+1＝f(t)；
and f (t) is processed by an inverse function to obtain a formula:
t＝f-1(V)；
determining a minimum value of the thermophysical parameter according to the minimum heating/cooling rate of the battery:
t_min＝f-1(V_min)；
t _ min is the minimum value of the thermophysical parameter, V and f (t) are heating rate/cooling rate, a is a polynomial parameter, n is more than or equal to 4, t is the thermophysical parameter value, and V _ min is the minimum heating/cooling rate of the battery.
At this time, S204 specifically includes:
fitting a polynomial on the temperature/refrigeration power at the bottom of the battery by taking the thermophysical parameters as variables to obtain a formula:
Tcell＝b1·tn+b2·tn-1+...+bn-1·t2+bn·t+bn+1＝g(t)；
and f (t) is processed by an inverse function to obtain a formula:
t＝g-1(Tcell)
obtaining the maximum value of the thermophysical parameters according to the highest bottom temperature/highest refrigerating power of the battery:
t_max＝g-1(Tcell_max)；
t _ max is the maximum value of the thermophysical parameter, Tcell and g (t) are the bottom temperature/the highest refrigerating power of the battery, b is a polynomial parameter, n is more than or equal to 4, t is the thermophysical parameter value, and Tcell _ max is the highest bottom temperature/the highest refrigerating power of the battery.
At this time, step S205 specifically includes:
the formula is calculated according to the heating/cooling rate range:
Vrange＝f(t+delta)-f(t-delta)；
from the maximum heating/cooling rate difference:
Vrange_max＝Vrange＝f(t+delta)-f(t-delta)；
dividing [ t _ min, t _ max ] into m parts equally, and calculating delta corresponding to each t;
fitting a polynomial to the fluctuation amplitude of the thermophysical parameter by taking the thermophysical parameter value as a variable to obtain a formula:
delta＝c1·tn+c2·tn-1+...+cn-1·t2+cn·t+cn+1＝z(t)
vrange is heating/cooling rate range, Vrange _ max is maximum heating/cooling rate difference, c is polynomial parameter, n is larger than or equal to 4, delta and z (t) are thermophysical parameter fluctuation amplitude values, and m is a positive integer.
At this time, step S206 specifically includes:
the range (t) is a reasonable fluctuation range.
In step 206, calculating the score values of the target fluctuation range, the heating/cooling rate and the battery bottom temperature/cooling power factor; and taking the fluctuation range corresponding to the factor with the highest score as the optimal fluctuation range, wherein the thermophysical property parameter is the glue layer thickness or the specific heat capacity in the above embodiment, which is not described in detail herein.
Example 2
For convenience of understanding, the present embodiment describes a battery pack thermal management method in a specific scenario, and describes the battery pack thermal management method by taking thermophysical parameters as a glue layer thickness of a thermal conductive glue layer and a heating process as examples, where the battery pack thermal management method includes:
The minimum heating rate V _ min of the battery, the difference value of the maximum heating rate which is required by a user is Vrange _ max, and the highest temperature which can be borne by the bottom of the battery is Tcell _ max.
And 2, calculating the heating rate corresponding to the heat-conducting adhesive layer and the temperature of the bottom of the battery.
As shown in fig. 3, the PTC, the adhesive layer, and the battery are arranged from bottom to top in sequence. a/b/c/d/e/f/t is the corresponding length, height and thickness; t1 is the temperature of PTC, T2 is the temperature of the middle part of the glue layer, T3 is the temperature of the bottom of the battery, T4 is the temperature of the top of the battery, and the known thermal physical parameters of the battery, such as density, specific heat capacity and thermal conductivity, are rho3, c3 and lambda3 respectively. The PTC is known to have a heating power P of 50W, and a density, a specific heat capacity, and a thermal conductivity of rho1, c1, and lambda1, respectively. The initial adhesive layer thickness of the heat-conducting adhesive layer is T, the density, the specific heat capacity and the heat conductivity coefficient are rho2, c2 and lambda2 respectively, the heating rate of the heat-conducting adhesive layer and the bottom temperature of the battery are calculated respectively based on the thermodynamic calculation principle, and specifically, the heat flow between the temperatures T1 and T2 is as follows:
the heat flow between temperatures T2 and T3 is:
the heat flow between the temperatures T3 and T4 is
The temperature T1 of the PTC is as follows, m1 is the PTC mass,
the temperature T2 of the glue layer is as follows, m2 is the glue layer quality,
the temperature T3 of the battery bottom layer was as follows, m3 is the mass of the battery bottom layer,
the temperature T4 of the top layer of the cell was as follows, m4 is the mass of the upper layer of the cell,
temperature values of T3 and T4 are obtained, and then the heating rate is calculated according to time.
Further, after the heating rate and the bottom temperature of the battery are obtained through calculation, the minimum heating rate V _ min and the maximum temperature Tcell _ max required by a user are compared, and basic parameters of the heating device are adjusted, so that the thickness of the adhesive layer corresponds to the heating rate and the bottom temperature of the battery and is consistent with the requirements of the user.
The thickness range of the thermal conductive adhesive is drawn up, the thickness of the adhesive layer is equally divided into 10 parts, based on the thermodynamic principle, the heating rate and the bottom temperature of the battery are calculated, and 10 groups of data are summarized as shown in the following table 1. It is understood that if the thermal conductive adhesive has a high thermal conductivity, the thickness may be set to be larger, and if the thermal conductive adhesive has a small thermal conductivity, the thickness may be set to be smaller.
TABLE 1
| Thickness of glue layer | Rate of heating | Rate of cooling | Bottom temperature | Refrigeration capacity |
| t1 | V1 | Slightly less than | Tcell1 | Slightly less than |
| t2 | V2 | Slightly less than | Tcell2 | Slightly less than |
| t3 | V3 | Slightly less than | Tcell3 | Slightly less than |
| t4 | V4 | Slightly less than | Tcell4 | Slightly less than |
| t5 | V5 | Slightly less than | Tcell5 | Slightly less than |
| t6 | V6 | Slightly less than | Tcell6 | Slightly less than |
| t7 | V7 | Slightly less than | Tcell7 | Slightly less than |
| t8 | V8 | Slightly less than | Tcell8 | Slightly less than |
| t9 | V9 | Slightly less than | Tcell9 | Slightly less than |
| t10 | V10 | Slightly less than | Tcell10 | Slightly less than |
And 3, calculating the maximum value of the thickness of the glue layer according to the heating rate and the minimum heating rate.
And fitting the heating rate to a polynomial by taking the thickness of the adhesive layer as a variable, wherein in order to ensure the precision, the polynomial order > is 4, and taking the polynomial as 4 as an example, obtaining the following equation.
V＝a1·t4+a2·t3+a3·t2+a4·t+a5＝f(t)
Performing inverse function processing on f (t)
t＝f-1(V)
The thicker the adhesive layer is, the slower the temperature rise is; given the minimum heating rate requirement of V _ min, then
t_max＝f-1(V_min)
And 4, determining the minimum thickness of the glue layer according to the bottom temperature of the battery and the maximum allowable bottom temperature of the battery.
By taking the thickness of the glue layer as a variable, a polynomial can be fitted to the temperature of the bottom of the battery.
Tcell＝b1·t4+b2·t3+b3·t2+b4·t+b5＝g(t)
Performing inverse function processing on g (t)
t＝g-1(tcell)
The thinner the glue layer, the higher the temperature at the bottom of the cell. Known maximum allowable bottom temperature
Tcell _ max, therefore
t_min＝g-1(Tcell_max)
And 5, determining the fluctuation amplitude of the thickness of the adhesive layer and the corresponding initial fluctuation range according to the maximum heating rate difference.
Taking t _ min and t _ max as upper and lower limits, and in the range, assuming that the fluctuation of the thickness of the glue layer takes the thickness t as a central point and the fluctuation amplitude value as delta, namely the fluctuation range is (t-delta, t + delta);
in the thickness fluctuation range (t-delta, t + delta), the heating rate fluctuation formula is as follows.
Vrange＝f(t-delta)-f(t+delta)
The maximum heating rate difference is known to be constant Vrange _ max, and therefore
Vrange_max＝Vrange＝f(t-delta)-f(t+delta)
Then:
equally dividing the t _ min and the t _ max into 10 parts by taking the t _ min and the t _ max as upper and lower limits, and solving delta corresponding to each t;
fitting a polynomial to the fluctuation amplitude by taking the thermophysical parameter value as a variable to obtain a formula:
delta＝c1·tn+c2·tn-1+...+cn-1·t2+cn·t+cn+1＝z(t)
that is, at the thickness t of the adhesive layer, the maximum allowable fluctuation amplitude delta, i.e., the fluctuation Range 2 × delta 2 × z (t), can be determined.
For example, Vrange ═ f (t-delta) -f (t + delta) ═ 0.0022 × (t-delta)4-0.031×(t-delta)3+0.1659×(t-delta)2-0.4502×(t-delta)+0.7191)-(0.0022×(t+delta)4-0.031×(t+delta)3+0.1659×(t+delta)2-0.4502×(t+delta)+0.7191)；
Let Vrange be 0.1667, equally divide into 10 parts with t _ min and t _ max as upper and lower limits, find the delta corresponding to each t, and fit a polynomial to these data sets, so as to obtain the following equation: delta-0.0236 Xt4+0.1061×t3-0.0377×t2+0.1816×t+0.1779
And 6, correcting the initial fluctuation range according to the maximum value and the minimum value of the thickness of the glue layer.
Considering that the thickness of the glue layer has upper and lower limits t _ min and t _ max, t + delta may exceed the upper limit, and t-delta may exceed the lower limit, the fluctuation range needs to be corrected; when t + delta > t _ max, the fluctuation range is 2 × delta- (t + delta-t _ max); when t-delta < t _ min, the fluctuation range is 2 × delta- (t _ min-t + delta); the range of fluctuation was 2 × delta in the rest of the cases.
And 7, determining an optimal fluctuation range according to the fluctuation range, the heating rate and the bottom temperature of the battery.
In order to comprehensively consider the three factors of the heating rate, the bottom temperature and the fluctuation range, the scheme which best meets the requirement is selected, and the cost performance analysis of the next step is carried out; specifically, a total score of 100 is assigned to the three factors as required, and for example, if the production cost is to be strictly controlled, p3 is assigned to 100, and the rest is 0.
Percent _ heating rate p1
Percent _ bottom temperature p2
Percent _ fluctuation range p3
The scores for each factor are as follows: and judging the fluctuation range scheme which best meets the requirement through the total score.
As shown in FIG. 4, it can be seen that the glue layer thickness is 1.6mm, the score is the highest, and the fluctuation range is 1.2mm, which is the most reasonable fluctuation range.
The battery pack thermal management control method provided by the embodiment takes thermophysical parameters as the adhesive layer thickness of the heat-conducting adhesive layer and the heating process as examples for explanation; compared with the prior art, the ideal design state of the thermal management scheme is evaluated, how to reduce the processing cost is not considered or not fully considered, and the reasonable fluctuation range of the design scheme is not given, the battery pack thermal management method provided by the embodiment needs to consider the problems of manufacturing tolerance and cost in the PTC heating design stage, meets the thickness use requirement of the heat-conducting glue, and simultaneously gives the reasonable fluctuation range to avoid overhigh manufacturing cost.
Example 3
An embodiment of the present invention provides a battery pack thermal management control system, as shown in fig. 5, the battery pack thermal management control system includes a requirement obtaining module 501, a parameter determining module 502, and an optimal design determining module 503;
a demand obtaining module 501, configured to obtain a minimum heating/cooling rate of the battery, a maximum heating/cooling rate difference, and a maximum bottom temperature/maximum cooling power of the battery;
a parameter determining module 502, configured to preliminarily set up thermophysical parameters of the thermal adhesive layer, and determine a heating/cooling rate and a battery bottom temperature/cooling power according to the thermophysical parameters; determining a first thermophysical parameter maximum value according to the heating/cooling rate and the minimum heating/cooling rate of the battery; determining a second thermophysical property parameter maximum value according to the battery bottom temperature/refrigeration power and the battery highest bottom temperature/highest refrigeration power; determining the fluctuation amplitude of the thermophysical property parameter according to the maximum heating/cooling rate difference;
and an optimal design determining module 503, configured to modify a fluctuation range corresponding to the fluctuation amplitude according to the first thermophysical parameter maximum and the second thermophysical parameter maximum to obtain a reasonable fluctuation range, and determine an optimal fluctuation range according to the reasonable fluctuation range, the heating/cooling rate, and the battery bottom temperature/cooling power.
The battery pack thermal management control system can implement the steps of the battery pack thermal management methods in the above embodiments, and details are not repeated here.
The present embodiment further provides a storage medium, where the storage medium stores one or more computer programs, and the one or more computer programs may be executed by one or more processors to implement the steps of the battery pack thermal management control method described in the foregoing embodiments, which are not described herein again.
It is clear to those skilled in the art that, for convenience and brevity of description, the specific working processes of the above-described apparatuses and units may refer to the corresponding processes in the foregoing method embodiments, and are not described herein again.
In the several embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other ways. For example, the above-described apparatus embodiments are merely illustrative, and for example, a division of a unit is merely a logical division, and an actual implementation may have another division, for example, a plurality of units or components may be combined or integrated into another system, or some features may be omitted, or not executed.
Units described as separate parts may or may not be physically separate, and parts displayed as units may or may not be physical units, may be located in one place, or may be distributed on a plurality of network units. Some or all of the units can be selected according to actual needs to achieve the purpose of the solution of the embodiment of the present invention.
In addition, functional units in the embodiments of the present invention may be integrated into one processing unit, or each unit may exist alone physically, or two or more units are integrated into one unit. The integrated unit can be realized in a form of hardware, and can also be realized in a form of a software functional unit.
The integrated unit, if implemented in the form of a software functional unit and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention essentially or partially contributes to the prior art, or all or part of the technical solution can be embodied in the form of a software product stored in a storage medium and including instructions for causing a computer device (which may be a personal computer, a server, or a network device) to execute all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
The technical solutions provided by the embodiments of the present invention are described in detail above, and the principles and embodiments of the present invention are explained in this patent by applying specific examples, and the descriptions of the embodiments above are only used to help understanding the principles of the embodiments of the present invention; the above description is only for the purpose of illustrating the preferred embodiments of the present invention and is not to be construed as limiting the invention, and any modifications, equivalents, improvements and the like that fall within the spirit and principle of the present invention are intended to be included therein.
Claims (4)
1. A battery pack thermal management method, comprising:
acquiring a minimum heating/cooling rate, a maximum heating/cooling rate difference and a maximum bottom temperature/maximum cooling power of the battery;
preliminarily drawing up thermophysical parameters of the heat-conducting adhesive layer, and determining the heating/cooling rate and the bottom temperature/refrigerating power of the battery according to the thermophysical parameters;
determining a first thermophysical property parameter maximum value according to the heating/cooling rate and the minimum heating/cooling rate of the battery;
determining a second thermophysical property parameter maximum value according to the battery bottom temperature/refrigeration power and the battery highest bottom temperature/highest refrigeration power;
determining the fluctuation amplitude of the thermophysical property parameter according to the maximum heating/cooling rate difference;
correcting a fluctuation range corresponding to the fluctuation amplitude value according to the first thermophysical parameter maximum value and the second thermophysical parameter maximum value to obtain a reasonable fluctuation range, and determining an optimal fluctuation range according to the reasonable fluctuation range, the heating/cooling rate and the battery bottom temperature/refrigeration power;
the thermophysical property parameters comprise the thickness of the adhesive layer, the heat conductivity coefficient or the specific heat capacity;
when the thermophysical parameter is the thickness of a glue layer or the specific heat capacity, determining the most significant value of the first thermophysical parameter according to the heating/cooling rate and the minimum heating/cooling rate of the battery comprises:
fitting the heating/cooling rate to a polynomial to obtain a formula with the thermophysical parameter value as a variable:
V＝a1·tn+a2·tn-1+...+an-1·t2+an·t+an+1＝f(t)；
and (f) (t) is subjected to inverse function processing to obtain a formula:
t＝f-1(V)；
the formula is derived from the minimum heating/cooling rate of the battery:
t_max＝f-1(V_min)；
the t _ max is the maximum value of the thermophysical parameter, the maximum value of the thermophysical parameter is the maximum value of the first thermophysical parameter, the V and the f (t) are heating/cooling rates, a is a polynomial parameter, n is not less than 4, t is a thermophysical parameter value, and the V _ min is the minimum heating/cooling rate of the battery;
the determining a second thermophysical parameter maximum value according to the battery bottom temperature/refrigeration power and the battery highest bottom temperature/highest refrigeration power comprises:
fitting a polynomial on the temperature/refrigeration power at the bottom of the battery by taking the thermal physical property parameter value as a variable to obtain a formula:
Tcell＝b1·tn+b2·tn-1+...+bn-1·t2+bn·t+bn+1＝g(t)
performing inverse function processing on the g (t) to obtain a formula:
t＝g-1(Tcell)；
obtaining a formula according to the highest bottom temperature/highest refrigerating power of the battery:
t_min＝g-1(Tcell_max)；
the t _ min is the minimum value of a thermophysical parameter, the minimum value of the thermophysical parameter is the maximum value of the second thermophysical parameter, the Tcell and the g (t) are the bottom temperature/the refrigeration power of the battery, b is a polynomial parameter, n is not less than 4, t is the thermophysical parameter value, and Tcell _ max is the highest bottom temperature/the highest refrigeration power of the battery;
the determining a thermophysical parameter fluctuation amplitude according to the maximum heating/cooling rate difference comprises:
the formula is calculated according to the heating/cooling rate range:
Vrange＝f(t-delta)-f(t+delta)；
from the maximum heating/cooling rate difference:
Vrange_max＝Vrange＝f(t-delta)-f(t+delta)；
constant ═ a1[(t-delta)n-(t+delta)n]+a2[(t-delta)n-1-(t+delta)n-1]+...+an[(t-delta)-(t+delta)]；
Dividing [ t _ min, t _ max ] into m parts equally, and calculating delta corresponding to each t;
fitting a polynomial to the fluctuation amplitude of the thermophysical parameter by taking the thermophysical parameter value as a variable to obtain a formula:
delta＝c1·tn+c2·tn-1+...+cn-1·t2+cn·t+cn+1＝z(t)
vrage is a heating/cooling rate range, Vrage _ max is a maximum heating/cooling rate difference value, c is a polynomial parameter, n is more than or equal to 4, delta and z (t) are thermophysical property parameter fluctuation amplitude values, and m is a positive integer;
the step of correcting the thermophysical parameter fluctuation amplitude according to the first thermophysical parameter maximum value and the second thermophysical parameter maximum value to obtain a reasonable fluctuation range comprises the following steps:
range (t) is a reasonable fluctuation range;
the determining an optimal fluctuation range according to the reasonable fluctuation range, the heating/cooling rate and the bottom temperature/cooling power comprises:
calculating the score values of the reasonable fluctuation range, the heating/cooling rate and the battery bottom temperature/refrigeration power factors;
taking the fluctuation range corresponding to the factor with the highest score as the optimal fluctuation range;
the p1, p2, p3 are the weights of reasonable fluctuation range, heating/cooling rate and bottom temperature/cooling power, respectively.
2. The method of claim 1, wherein determining the heating/cooling rate and the battery bottom temperature/cooling power from the thermophysical parameters comprises:
when the heating/cooling rate is less than the minimum heating/cooling rate, or the battery bottom temperature/cooling power is greater than the battery highest bottom temperature/highest cooling power, adjusting basic parameters of a heating device/cooling device positioned below the heat-conducting adhesive layer.
3. The battery pack thermal management control system is characterized by comprising a demand acquisition module, a parameter determination module and an optimal design determination module;
the demand acquisition module is used for acquiring the minimum heating/cooling rate, the maximum heating/cooling rate difference and the maximum bottom temperature/maximum refrigerating power of the battery;
the parameter determination module is used for preliminarily drawing up thermophysical parameters of the heat-conducting adhesive layer and determining the heating/cooling rate and the bottom temperature/refrigerating power of the battery according to the thermophysical parameters; determining a first thermophysical property parameter maximum value according to the heating/cooling rate and the minimum heating/cooling rate of the battery; determining a second thermophysical property parameter maximum value according to the battery bottom temperature/refrigeration power and the battery highest bottom temperature/highest refrigeration power; determining the fluctuation amplitude of the thermophysical property parameter according to the maximum heating/cooling rate difference;
the optimal design determining module is used for correcting a fluctuation range corresponding to the fluctuation amplitude value according to the first thermophysical parameter maximum value and the second thermophysical parameter maximum value to obtain a reasonable fluctuation range, and determining an optimal fluctuation range according to the reasonable fluctuation range, the heating/cooling rate and the battery bottom temperature/refrigeration power;
the thermophysical property parameters comprise the thickness of the adhesive layer, the heat conductivity coefficient or the specific heat capacity;
when the thermophysical parameter is the thickness of a glue layer or the specific heat capacity, determining the most significant value of the first thermophysical parameter according to the heating/cooling rate and the minimum heating/cooling rate of the battery comprises:
fitting the heating/cooling rate to a polynomial to obtain a formula with the thermophysical parameter value as a variable:
V＝a1·tn+a2·tn-1+...+an-1·t2+an·t+an+1＝f(t)；
and (f) (t) is subjected to inverse function processing to obtain a formula:
t＝f-1(V)；
the formula is derived from the minimum heating/cooling rate of the battery:
t_max＝f-1(V_min)；
the t _ max is the maximum value of the thermophysical parameter, the maximum value of the thermophysical parameter is the maximum value of the first thermophysical parameter, the V and the f (t) are heating/cooling rates, a is a polynomial parameter, n is not less than 4, t is a thermophysical parameter value, and the V _ min is the minimum heating/cooling rate of the battery;
the determining a second thermophysical parameter maximum value according to the battery bottom temperature/refrigeration power and the battery highest bottom temperature/highest refrigeration power comprises:
fitting a polynomial on the temperature/refrigeration power at the bottom of the battery by taking the thermal physical property parameter value as a variable to obtain a formula:
Tcell＝b1·tn+b2·tn-1+...+bn-1·t2+bn·t+bn+1＝g(t)
performing inverse function processing on the g (t) to obtain a formula:
t＝g-1(Tcell)；
obtaining a formula according to the highest bottom temperature/highest refrigerating power of the battery:
t_min＝g-1(Tcell_max)；
the t _ min is the minimum value of a thermophysical parameter, the minimum value of the thermophysical parameter is the maximum value of the second thermophysical parameter, the Tcell and the g (t) are the bottom temperature/the refrigeration power of the battery, b is a polynomial parameter, n is not less than 4, t is the thermophysical parameter value, and Tcell _ max is the highest bottom temperature/the highest refrigeration power of the battery;
the determining a thermophysical parameter fluctuation amplitude according to the maximum heating/cooling rate difference comprises:
the formula is calculated according to the heating/cooling rate range:
Vrange＝f(t-delta)-f(t+delta)；
from the maximum heating/cooling rate difference:
Vrange_max＝Vrange＝f(t-delta)-f(t+delta)；
dividing [ t _ min, t _ max ] into m parts equally, and calculating delta corresponding to each t;
fitting a polynomial to the fluctuation amplitude of the thermophysical parameter by taking the thermophysical parameter value as a variable to obtain a formula:
delta＝c1·tn+c2·tn-1+...+cn-1·t2+cn·t+cn+1＝z(t)
vrage is a heating/cooling rate range, Vrage _ max is a maximum heating/cooling rate difference value, c is a polynomial parameter, n is more than or equal to 4, delta and z (t) are thermophysical property parameter fluctuation amplitude values, and m is a positive integer;
the step of correcting the thermophysical parameter fluctuation amplitude according to the first thermophysical parameter maximum value and the second thermophysical parameter maximum value to obtain a reasonable fluctuation range comprises the following steps:
range (t) is a reasonable fluctuation range;
the determining an optimal fluctuation range according to the reasonable fluctuation range, the heating/cooling rate and the bottom temperature/cooling power comprises:
calculating the score values of the reasonable fluctuation range, the heating/cooling rate and the battery bottom temperature/refrigeration power factors;
taking the fluctuation range corresponding to the factor with the highest score as the optimal fluctuation range;
the p1, p2, p3 are the weights of reasonable fluctuation range, heating/cooling rate and bottom temperature/cooling power, respectively.
4. A storage medium storing one or more computer programs executable by one or more processors to perform the steps of the battery pack thermal management method according to claim 1 or 2.
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