CN117112971B - Temperature curve generation method and device, electronic equipment and storage medium - Google Patents
Temperature curve generation method and device, electronic equipment and storage medium Download PDFInfo
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Abstract
The application discloses a temperature curve generation method, a device, electronic equipment and a storage medium. The method comprises the following steps: obtaining a target battery cooling curve equation corresponding to a battery of the power utilization device, wherein the target battery cooling curve equation is determined by the standing temperature and the environment temperature of the battery after the power utilization device is electrified; and generating a temperature curve of the battery after the power utilization device is powered down according to the target battery cooling curve equation. According to the scheme, the temperature of the battery after the power-on device is powered down can be estimated relatively accurately.
Description
Technical Field
The application belongs to the technical field of batteries, and particularly relates to a temperature curve generation method, a device, electronic equipment and a storage medium.
Background
The historical operation data of the battery of the electric device is obtained and analyzed, and the method has important guiding significance for the battery life prediction of the electric device and the thermal management optimization of the electric device. It is understood that the operational data of the battery includes, but is not limited to, temperature data of the battery. However, after the power utilization device is powered down, the temperature acquisition system of the power utilization device stops working, so that the temperature data of the battery after the power utilization device is powered down cannot be acquired, and difficulty is brought to statistics of the temperature data of the battery in the whole life cycle. That is, there is a problem that temperature data of the battery is lost after the power-on device is powered down.
Disclosure of Invention
The application provides a temperature curve generation method, a device, electronic equipment and a storage medium, which can relatively accurately estimate the temperature of a battery after an electricity utilization device is powered down.
In a first aspect, the present application provides a method for generating a temperature profile, including:
obtaining a target battery cooling curve equation corresponding to a battery of the power utilization device, wherein the target battery cooling curve equation is determined by the standing temperature and the environmental temperature of the battery after the power utilization device is electrified;
and generating a temperature curve of the battery after the power utilization device is powered down according to a target battery cooling curve equation.
In one possible implementation manner of the first aspect, the determining process of the target battery cooling curve equation includes:
after the power utilization device is electrified, acquiring a plurality of battery rest temperatures of the battery and an environment temperature corresponding to each battery rest temperature;
and determining a target battery cooling curve equation based on the rest temperatures of the batteries and the environment temperatures corresponding to the rest temperatures of the batteries.
In a possible implementation manner of the first aspect, determining the target battery cooling curve equation based on each battery rest temperature and an ambient temperature corresponding to each battery rest temperature includes:
Constructing a cooling rate model, wherein the cooling rate model is used for describing the corresponding relation between the temperature difference between the standing temperature of the battery and the ambient temperature and the cooling rate, and comprises fitting parameters to be identified;
constructing a battery cooling curve equation to be identified based on the cooling rate model, wherein the battery cooling curve equation is used for describing the iterative relationship of the standing temperature of the battery along with time;
and carrying out parameter identification on the battery cooling curve equation to be identified according to the rest temperature of each battery and the environment temperature corresponding to the rest temperature of each battery to obtain the target battery cooling curve equation.
In a possible implementation manner of the first aspect, according to each battery rest temperature and an environmental temperature corresponding to each battery rest temperature, performing parameter identification on a battery cooling curve equation to be identified to obtain a target battery cooling curve equation, including:
based on a battery cooling curve equation to be identified, generating a simulation temperature curve by sampling the battery standing temperature at the earliest time and the environment temperature corresponding to each battery standing temperature;
generating a real temperature curve based on the standing temperature of each battery;
and carrying out parameter identification on the battery cooling curve equation to be identified according to the simulation temperature curve and the real temperature curve to obtain a target battery cooling curve equation.
In a possible implementation manner of the first aspect, after the power-up of the power-up device, acquiring a plurality of battery rest temperatures of the battery and an ambient temperature corresponding to each battery rest temperature, including:
after the power-on device is electrified, a plurality of battery standing temperatures of the battery are obtained through the temperature sampling sensor;
and acquiring the environmental temperature corresponding to the battery rest temperature through the meteorological data obtained through networking at the sampling time corresponding to each battery rest temperature.
In one possible implementation manner of the first aspect, acquiring, by the temperature sampling sensor, a plurality of battery rest temperatures of the battery includes:
acquiring the operation power of the power utilization device;
and under the condition that the running power is 0, the temperature sampling sensor is used for sampling the temperature of the battery for a plurality of times, so that a plurality of battery rest temperatures of the battery are obtained.
In a possible implementation manner of the first aspect, generating a temperature curve of the battery after the power-down of the power-using device according to the target battery cooling curve equation includes:
obtaining an initial battery standing temperature and a real-time environment temperature after the power-down of the power-down device, wherein the initial battery standing temperature is as follows: before the power utilization device is powered down, the temperature of the battery is finally collected;
And generating a temperature curve of the battery after the power-on device is powered down according to the target battery cooling curve equation, the initial battery standing temperature and the real-time environment temperature.
In a second aspect, the present application provides a temperature profile generating apparatus, including:
the first acquisition module is used for acquiring a target battery cooling curve equation corresponding to a battery of the power utilization device, wherein the target battery cooling curve equation is determined through the standing temperature and the environment temperature of the battery after the power utilization device is electrified;
and the generating module is used for generating a temperature curve of the battery after the power-on device is powered down according to the target battery cooling curve equation.
In a third aspect, the present application provides an electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, the processor implementing the steps of the method of the first aspect when executing the computer program.
In a fourth aspect, the present application provides a computer readable storage medium storing a computer program which, when executed by a processor, performs the steps of the method of the first aspect described above.
Compared with the prior art, the beneficial effects that this application exists are: the battery stops working after the power utilization device is powered down; that is, after the power utilization device is powered down, the battery is actually in a static state. In the rest state of the battery, heat exchange with the environment is performed, so that the temperature of the battery is reduced; i.e., the battery temperature after power down is primarily affected by the ambient temperature. Based on the above, the method can obtain the standing temperature and the ambient temperature of the battery after the power-on device is electrified in advance, and determine the target battery cooling curve equation corresponding to the battery of the power-on device. After the power device is electrified, the temperature acquisition system can start to work, so that the obtained standing temperature of the battery is relatively accurate, and the obtained target battery cooling curve equation can relatively accurately describe the cooling condition of the battery under the influence of the ambient temperature. The temperature curve of the battery after the power-on device is powered down can be generated through the battery cooling curve equation, and the temperature curve represents the temperature of the battery at each moment after the power-on device is powered down, so that the accurate estimation of the temperature of the battery after the power-on device is powered down can be realized.
It will be appreciated that the advantages of the second to fourth aspects may be found in the relevant description of the first aspect and are not repeated here.
Drawings
In order to more clearly illustrate the technical solutions of the embodiments of the present application, the following description will briefly introduce the drawings that are needed in the embodiments or the description of the prior art, it is obvious that the drawings in the following description are only some embodiments of the present application, and that other drawings may be obtained according to these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic implementation flow chart of a temperature curve generating method provided in an embodiment of the present application;
FIG. 2 is an exemplary graph of a vehicle operating power and battery temperature profile provided by an embodiment of the present application;
fig. 3 is a block diagram of a temperature curve generating device according to an embodiment of the present application;
fig. 4 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
Embodiments of the technical solutions of the present application will be described in detail below with reference to the accompanying drawings. The following examples are only for more clearly illustrating the technical solutions of the present application, and thus are only examples, and are not intended to limit the scope of protection of the present application.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs; the terminology used herein is for the purpose of describing particular embodiments only and is not intended to be limiting of the application; the terms "comprising" and "having" and any variations thereof in the description and claims of the present application and in the description of the figures above are intended to cover non-exclusive inclusions.
In the description of the embodiments of the present application, the technical terms "first," "second," etc. are used merely to distinguish between different objects and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated, a particular order or a primary or secondary relationship.
Reference herein to "an embodiment" means that a particular feature, structure, or characteristic described in connection with the embodiment may be included in at least one embodiment of the present application. The appearances of such phrases in various places in the specification are not necessarily all referring to the same embodiment, nor are separate or alternative embodiments mutually exclusive of other embodiments. Those of skill in the art will explicitly and implicitly appreciate that the embodiments described herein may be combined with other embodiments.
In the description of the embodiments of the present application, the term "and/or" is merely an association relationship describing an association object, which 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.
In the description of the embodiments of the present application, the term "plurality" refers to two or more (including two) unless specifically defined otherwise.
Currently, the more widely used batteries are. The device can be applied to energy storage power supply systems such as hydraulic power, firepower, wind power and solar power stations, electric vehicles such as electric bicycles, electric motorcycles and electric automobiles, and even military equipment, aerospace and other fields. With the continuous expansion of the battery application field, the market demand thereof is also continuously expanding.
In order to better predict the service life of the battery and help the electric device carried by the battery to realize better heat management, the operation data of the whole life cycle of the battery often needs to be analyzed. Among other things, the operational data of the battery includes, but is not limited to: temperature data, voltage data, health data, etc. In particular, for temperature data, data acquisition is currently generally performed by a temperature acquisition system mounted on an electric device.
However, the operating state of the temperature acquisition system in the power consuming device is typically kept synchronized with the operating state of the power consuming device. That is, only after the power-on operation of the power-on device, the temperature acquisition system can start to work; otherwise, once the power utilization device is powered down and stops running, the temperature acquisition system of the power utilization device also synchronously stops working. The characteristics cause that the temperature acquisition system cannot acquire the temperature data of the battery after the power-on device is powered down, so that the temperature data of the battery in the whole life cycle is lost.
Based on the above consideration, the embodiment of the application provides a temperature curve generating method, which relatively accurately estimates the temperature of the battery after the power-down of the power-using device through a predetermined target battery cooling curve equation. The battery is in a static state after the power-on device is powered down, the temperature of the battery after the power-on device is powered down is mainly influenced by the ambient temperature to be reduced, and the target battery cooling curve equation is determined according to the static temperature and the ambient temperature of the battery after the power-on device is powered up, so that the target battery cooling curve equation can describe the cooling condition of the battery under the influence of the ambient temperature relatively accurately, and the accurate estimation of the temperature of the battery after the power-on device is powered down is realized.
It is understood that the battery disclosed in the embodiments of the present application may be applied to an electric device. By way of example only, the powered device may be a cell phone, tablet, notebook computer, electric toy, electric tool, battery car, electric car, ship or spacecraft, etc., and the embodiments of the present application do not limit the specific type of powered device.
In order to illustrate the technical solutions proposed in the embodiments of the present application, the following description is made by specific embodiments.
The temperature curve generation method provided by the embodiment of the application can be applied to electronic equipment. Specifically, the electronic device may be a device independent from the electric device and having a data processing function, for example, a smart phone or a computer which establishes a communication connection with the electric device, and the embodiment of the application does not limit the specific type of the electronic device. The following describes the temperature curve generating method, please refer to fig. 1, and the implementation process is described in detail as follows:
and step 101, acquiring a target battery cooling curve equation corresponding to a battery of the power utilization device.
As is known from thermodynamics, in the rest state of the battery, its temperature is no longer affected by the operation of the battery, but is only affected by the environment, in particular by heat exchange with the environment. Generally, in an operating state, the temperature of the battery increases, so that the battery temperature is higher than the ambient temperature; once the battery is switched from the operating state to the rest state, its temperature decreases based on heat exchange with the environment until it is leveled with the ambient temperature. From this, it is found that the change in the battery rest temperature is closely related to the ambient temperature. Based on this, the target battery cooling curve equation can be determined from the battery rest temperature and the ambient temperature after the power-up of the power-up device.
The electronic device may look up in its database whether a target battery cooling curve equation corresponding to the battery of the electrical device has been stored, including but not limited to: cloud database and local database of electronic equipment. In some examples, the electronic device may use preset identification information as a basis for the lookup, where the preset identification information includes an identification of the powered device and/or an identification of the battery.
Under the condition that the target battery cooling curve equation can be searched from the database, the electronic equipment can directly acquire the target battery cooling curve equation from the database; under the condition that the target battery cooling curve equation cannot be found from the database, the electronic equipment can monitor the power-on device and acquire the battery standing temperature and the environment temperature after the power-on device is monitored and the battery of the power-on device enters the standing state, so that the target battery cooling curve equation is determined.
It should be noted that after the cooling curve of the target battery is determined through the standing temperature of the battery and the ambient temperature after the power-on device is powered on, the electronic device can correlate the cooling curve equation of the target battery with preset identification information and store the cooling curve equation in the database, so that the database is updated, and the subsequent use is convenient.
And 102, generating a temperature curve of the battery after the power-on device is powered down according to a target battery cooling curve equation.
In the process of the electric device running on the electric device, the latest running data of the battery can be continuously transmitted to the electronic equipment, and the electronic equipment can be used for analysis and processing. Based on this, for the electronic apparatus, if it fails to receive the operation data transmitted by the electricity device within the preset time period, it may be determined that the electricity device has been powered down.
Or, the power utilization device can also transmit a power-down indication message to the electronic equipment when power is down, so as to indicate that the power utilization device is about to be powered down. Based on this, for the electronic apparatus, if it receives the power-down indication message, it may be determined that the power-using device has been powered down.
Under the condition that the power utilization device is powered down, the electronic equipment can use a target battery cooling curve equation to generate a temperature curve of the battery after the power utilization device is powered down, wherein the temperature curve describes the standing temperature of the battery at each moment after the power utilization device is powered down. Since the battery rest temperature does not jump, the initial battery rest temperature of the temperature profile may be equivalent to the temperature of the last acquired battery before powering down the powered device.
In some embodiments, to improve the pertinence of the target battery cooling curve equation, so that it can accurately estimate the temperature of the battery of the power-using device after power-down, the determining process of the target battery cooling curve equation may include:
a1, after the power-on device is electrified, acquiring a plurality of battery rest temperatures of the batteries and an environment temperature corresponding to each battery rest temperature.
On the one hand, in the state of the battery standing, the heat of the battery is transferred from the battery to the environment; on the other hand, the environment itself may affect its temperature due to sunlight and other factors. It follows that the ambient temperature may fluctuate to some extent. Based on this, when the power consumption device is powered on and the battery is in a stationary state, not only a plurality of battery stationary temperatures of the battery but also an ambient temperature corresponding to each battery stationary temperature are acquired.
The correspondence between the battery rest temperature and the ambient temperature refers to the correspondence in sampling time, specifically, the battery rest temperature and the ambient temperature obtained at the same moment. That is, the sampling time of one battery rest temperature is the same as the sampling time of the ambient temperature corresponding to the battery rest temperature.
For the battery rest temperature, in some examples, the temperature sampling sensor in the temperature acquisition system may not be operated until the power device is powered up, thereby taking multiple temperature samples of the battery. Considering that the temperature data of the battery in the standing state is focused in the scheme, the electronic equipment can acquire the operation power of the power utilization device at the same time and judge whether the temperature obtained by sampling by the temperature sampling sensor is the battery temperature in the standing state or not according to the operation power, namely, the battery standing temperature. Specifically, when the operating power of the power consumption device is 0, it is known that the battery is not operating, that is, the battery is in a stationary state, and the obtained battery temperature is the battery stationary temperature. In other examples, after the power-on device is powered on, the electronic device may also acquire the operating power of the power-on device, and then determine whether to trigger the operation of the temperature sampling sensor according to the operating power. Specifically, when the operating power of the power consumption device is 0, it is known that the battery is not operated, that is, the battery is in a stationary state, and at this time, the temperature sampling sensor may be triggered to operate, and the battery is subjected to multiple temperature sampling, thereby obtaining a plurality of stationary temperatures of the battery. It can be appreciated that, in the operating state of the temperature sampling sensor, the temperature sampling sensor may perform temperature sampling based on a preset sampling frequency, and the specific value of the sampling frequency is not limited in the embodiment of the present application.
For the ambient temperature, in some examples, if the temperature fluctuation degree of the current environment is not large, for the convenience of calculation, the visible ambient temperature is a fixed value, that is, the ambient temperature corresponding to the rest temperature of each battery is the same. In this case, only one time of meteorological data is required to be obtained in a network during the standing process of the battery (i.e. in the case that the running power of the electric device is 0), and an environmental temperature is obtained based on the meteorological data. In other examples, if the temperature fluctuation degree of the current environment is large, in order to improve the accuracy of temperature estimation, the network may continuously obtain real-time meteorological data in the process of standing the battery (i.e. in the case that the running power of the power utilization device is 0), and obtain real-time environmental temperature through the real-time meteorological data at the sampling time corresponding to each battery standing temperature, where the environmental temperature corresponds to the battery standing temperature (both sampling times are the same).
A2, determining a target battery cooling curve equation based on the rest temperatures of the batteries and the environment temperatures corresponding to the rest temperatures of the batteries.
The foregoing has described that, according to thermodynamic knowledge, the change in the resting temperature of the battery is closely related to the ambient temperature. Based on the above, according to the change conditions of the battery standing temperature and the ambient temperature at each sampling time, the influence of the ambient temperature on the battery cooling can be determined, and thus, the target battery cooling curve equation is obtained. In some examples, the electronic device may determine the target battery cooling curve equation by modeling; in other examples, the electronic device may determine the target battery cooling curve equation by deep learning, which is not limited herein.
In some embodiments, for determining the objective battery cooling curve equation by modeling, to simplify the modeling process, the modeling process may include:
b1, constructing a cooling rate model.
The cooling rate model describes the corresponding relation between the temperature difference and the cooling rate, wherein the temperature difference specifically refers to: the difference between the cell resting temperature and the ambient temperature. In this embodiment of the present application, for convenience in operation, a linear relationship is set between the temperature difference and the cooling rate, and then the cooling rate model may be expressed as the following formula:
wherein,the battery rest temperature at the time of k (namely the battery rest temperature of the kth sampling point) is expressed in the unit of the temperature; />The ambient temperature at time k (i.e., the ambient temperature at the kth sampling point) is expressed in degrees celsius;represents the rate of cooling at time k, which is typically negative in units of ℃/s; a and b are fitting parameters to be identified.
And B2, constructing a battery cooling curve equation to be identified based on the cooling rate model.
For the battery rest temperature at a certain moment, the battery rest temperature at the moment is not suddenly changed, so that the battery rest temperature at the moment is closely related to the battery rest temperature at the previous moment and not only the cooling rate. Based on this, the battery cooling curve equation can be expressed as:
Wherein,the time length between the time k and the time k-1 is expressed as s; />The battery rest temperature at the time of k-1 (namely the battery rest temperature at the sampling point of k-1) is expressed in the unit of the temperature; />Is->The foregoing has been described, and will not be described in detail herein.
It can be understood thatThe physical meaning of the battery cooling curve equation is as follows: by passing throughCalculating a temperature change value in a period from the moment k-1 to the moment k, wherein the temperature change value is a negative value and indicates that the temperature is reduced; and adding the temperature drop value (negative value) to the battery standing temperature at the time of k-1 to obtain the battery standing temperature at the time of k. From this, the battery cooling curve equation describes the iterative relationship of the battery rest temperature over time.
And B3, carrying out parameter identification on the battery cooling curve equation to be identified according to the rest temperature of each battery and the environment temperature corresponding to the rest temperature of each battery to obtain the target battery cooling curve equation.
Because the currently obtained standing temperature of each battery and the environment temperature corresponding to the standing temperature of each battery are the real data of the battery in the standing state, the electronic equipment can use the data as a training set to perform parameter identification on a battery cooling curve equation to be identified, and specifically, two fitting parameters a and b in the battery cooling curve equation are identified. After the two fitting parameters a and b are identified, the obtained battery cooling curve is the target battery cooling curve equation. It can be understood that after the identification parameters are obtained, the obtained objective battery cooling curve equation can be expressed as follows:
In some embodiments, the parameter identification manners that the electronic device can employ may include, but are not limited to: parameter identification based on a least square method, parameter identification based on maximum likelihood estimation, parameter identification based on a genetic algorithm and the like. Considering that the cooling rate model containing the fitting parameters to be identified expresses a linear relationship, the process of parameter identification will be briefly described below by taking the least square method-based parameter identification as an example:
and C1, generating a simulation temperature curve based on a battery cooling curve equation to be identified, the battery standing temperature with the earliest sampling moment and the environment temperature corresponding to each battery standing temperature.
The electronic device may initialize the battery cooling curve equation to be identified, specifically, assign initial values of the fitting parameters a and b. Then, the electronic device can substitute the battery rest temperature with the earliest sampling time and the environment temperature corresponding to each battery rest temperature into the battery cooling curve equation to be identified, and obtain the simulated battery rest temperature at each sampling time through continuous iteration. It will be appreciated that the simulated battery rest temperature is a calculated battery rest temperature, and not a true battery rest temperature. Finally, the electronic device can sort the battery rest temperature with the earliest sampling time and each simulated battery rest temperature according to time, so as to generate a simulated temperature curve.
And C2, generating a real temperature curve based on the rest temperature of each battery.
The electronic device may sort the actual battery rest temperatures obtained through the step A1 by time, thereby generating an actual temperature curve.
And C3, carrying out parameter identification on the battery cooling curve equation to be identified through a least square method according to the simulated temperature curve and the real temperature curve to obtain a target battery cooling curve equation.
First, the electronic device may construct an objective function for describing a difference between the simulated temperature curve and the actual temperature curve, that is, a difference between the calculated battery rest temperature and the actually collected battery rest temperature. The expression of the difference includes, but is not limited to, root mean square error, etc., and is not described herein. Then, based on the objective function, the electronic equipment can conduct parameter identification on a battery cooling curve equation to be identified by adopting a least square method, and fitting parameters a and b are continuously updated, so that the simulation temperature curve is updated. Finally, the electronic device can obtain fitting parameters a and b that minimize the difference calculated by the objective function. It can be understood that the fitting parameters a and b can make the real temperature curve and the simulated temperature curve closest to each other, so that the battery cooling curve equation using the fitting parameters a and b is the target battery cooling curve equation.
In some embodiments, the battery rest temperature at each time is iterated depending on the current ambient temperature and the battery rest temperature at the previous time based on the target battery cooling curve equation shown above. Based on this, in order for the target battery cooling profile equation to be effectively applied, step 102 may specifically include:
and D1, acquiring the initial battery standing temperature and the real-time environment temperature after the power-down of the power-using device.
The initial battery standing temperature can be obtained through a temperature sampling sensor in the temperature acquisition system, and the real-time environment temperature after the power-on device is powered down can be obtained through real-time meteorological data obtained through networking, which are described above and are not repeated here.
And D2, generating a temperature curve of the battery after the power-on device is powered down according to the target battery cooling curve equation, the initial battery standing temperature and the real-time environment temperature.
For easy understanding, the time corresponding to each real-time environment temperature after the power-on device is powered down is recorded as time T0, T1 and T2 until Tn based on the order from early to late. The electronic equipment can substitute the initial battery standing temperature, the real-time environment temperature at the time of T0 and the time length from the power-down time to the time of T0 into a target battery cooling curve equation, so as to obtain the battery standing temperature at the time of T0; then substituting the battery standing temperature at the time of T0, the real-time environment temperature at the time of T1 and the time length from the time of T0 to the time of T1 into a target battery cooling curve equation, thereby obtaining the battery standing temperature at the time of T1; by such pushing, iteration of the battery rest temperature is achieved until the battery rest temperature at the time Tn is obtained. Based on the standing temperature of the battery at the time T1 until Tn, the electronic equipment can generate a temperature curve of the battery after the power-on device is powered down, so that the temperature estimation of the battery after the power-on device is powered down is realized.
In some embodiments, the battery acquisition system of the powered device may be provided with more than two temperature sampling sensors, wherein different temperature sampling sensors are used to sample the temperature at different locations of the battery, respectively. Under the situation, under one application scene, the electronic equipment can respectively take each temperature sampling sensor as a consideration object, determine a target battery cooling curve equation corresponding to each temperature sampling sensor, and finally obtain a temperature curve of a battery position corresponding to each temperature sampling sensor after the electric equipment is powered down. In another application scenario, the electronic device may use all temperature sampling sensors as an integral consideration object, calculate a standard battery cooling curve equation based on the average battery rest temperature at each sampling time, and finally obtain an average temperature curve of the battery after the electric device is powered down.
For easy understanding, taking an electric device as an example of a vehicle, the following describes a determination process of a target battery cooling curve equation by way of specific example:
first, the electronic device may obtain a vehicle running power and a battery temperature curve of a certain vehicle, as shown in fig. 2. It can be understood that when the running power of the vehicle is 0, the battery is in a stationary state, and the corresponding battery temperature is the battery stationary temperature. Considering that the environmental temperature does not fluctuate much, the environmental temperature can be determined to be 15 ℃ according to the weather data and the environmental temperature is taken as a fixed value.
Then initializing fitting parameters a and b to obtain a cooling rate model：
Then, according to the cooling rate model, the first step of iterative calculation can be performedCell rest temperature of each sampling point +.>：
And then generating a simulation temperature curve and a real temperature curve, constructing an objective function based on root mean square error of the simulation temperature curve and the real temperature curve, carrying out parameter identification by using least square method, and determining the final values of fitting parameters a and b.
Finally, according to the result of parameter identification, a target battery cooling curve equation is obtained. For example only, the target battery cooling profile may be as follows:
and the electronic equipment takes the data of the battery standing temperature in other time periods and other environmental temperatures as a verification set, and verifies the obtained target battery cooling curve equation. The verification result shows that the maximum error between the temperature curve obtained by the target battery cooling curve equation and the real temperature curve is within 0.05 ℃, and the method is still applicable to different environment temperatures, so that higher prediction precision is maintained.
The battery can stop working after the power utilization device is powered down; that is, after the power utilization device is powered down, the battery is actually in a static state. In the rest state of the battery, heat exchange with the environment is performed, so that the temperature of the battery is reduced; i.e., the battery temperature after power down is primarily affected by the ambient temperature. Based on this, in the embodiment of the application, after the power-on device is powered on in advance, the standing temperature and the ambient temperature of the battery may be obtained, and thus, the target battery cooling curve equation corresponding to the battery of the power-on device may be determined. After the power device is electrified, the temperature acquisition system can start to work, so that the obtained standing temperature of the battery is relatively accurate, and the obtained target battery cooling curve equation can relatively accurately describe the cooling condition of the battery under the influence of the ambient temperature. The temperature curve of the battery after the power-on device is powered down can be generated through the battery cooling curve equation, and the temperature curve represents the temperature of the battery at each moment after the power-on device is powered down, so that the accurate estimation of the temperature of the battery after the power-on device is powered down can be realized.
It should be understood that the sequence number of each step in the foregoing embodiment does not mean that the execution sequence of each process should be determined by the function and the internal logic of each process, and should not limit the implementation process of the embodiment of the present application in any way.
Corresponding to the temperature curve generating method provided above, the embodiment of the application also provides a temperature curve generating device. Referring to fig. 3, the temperature profile generating apparatus 3 in the embodiment of the present application includes:
the first obtaining module 301 is configured to obtain a target battery cooling curve equation corresponding to a battery of the power device, where the target battery cooling curve equation is determined by a battery rest temperature and an ambient temperature after the power device is powered on;
the generating module 302 is configured to generate a temperature curve of the battery after the power-on device is powered down according to the target battery cooling curve equation.
In some embodiments, the temperature profile generating device 3 further comprises:
the second acquisition module is used for acquiring a plurality of battery rest temperatures of the battery and the environment temperature corresponding to each battery rest temperature after the power-on device is electrified;
and the determining module is used for determining a target battery cooling curve equation based on the rest temperatures of the batteries and the environment temperatures corresponding to the rest temperatures of the batteries.
In some embodiments, the determining module comprises:
the first construction submodule is used for constructing a cooling rate model, wherein the cooling rate model is used for describing the corresponding relation between the temperature difference between the standing temperature of the battery and the ambient temperature and the cooling rate, and the cooling rate model comprises fitting parameters to be identified;
the second construction submodule is used for constructing a battery cooling curve equation to be identified based on the cooling rate model, wherein the battery cooling curve equation is used for describing the iterative relation of the standing temperature of the battery along with time;
and the identification sub-module is used for carrying out parameter identification on the battery cooling curve equation to be identified according to the rest temperature of each battery and the environment temperature corresponding to the rest temperature of each battery to obtain the target battery cooling curve equation.
In some embodiments, the recognition sub-module includes:
the first generation unit is used for generating a simulation temperature curve based on a battery cooling curve equation to be identified, the battery standing temperature with the earliest sampling moment and the environment temperature corresponding to each battery standing temperature;
a second generation unit for generating a true temperature curve based on the rest temperatures of the respective batteries;
and the identification unit is used for carrying out parameter identification on the battery cooling curve equation to be identified according to the simulated temperature curve and the real temperature curve to obtain the target battery cooling curve equation.
In some embodiments, the second acquisition module comprises:
the first acquisition submodule is used for acquiring a plurality of battery rest temperatures of the battery through the temperature sampling sensor after the power-on device is electrified;
and the second acquisition submodule is used for acquiring the environmental temperature corresponding to the battery standing temperature through the meteorological data obtained through networking under the sampling time corresponding to each battery standing temperature.
In some embodiments, the first acquisition sub-module includes:
the power acquisition unit is used for acquiring the operation power of the power utilization device after the power utilization device is electrified;
and the temperature sampling unit is used for sampling the temperature of the battery for a plurality of times through the temperature sampling sensor under the condition that the running power is 0, so as to obtain a plurality of battery rest temperatures of the battery.
In some embodiments, the generating module 302 includes:
the third obtaining submodule is used for obtaining the initial battery standing temperature and the real-time environment temperature after the power-down of the power-using device, wherein the initial battery standing temperature is as follows: before the power utilization device is powered down, the temperature of the battery is finally collected;
the generating submodule is used for generating a temperature curve of the battery after the power-on device is powered down according to a target battery cooling curve equation, an initial battery standing temperature and a real-time environment temperature.
From the above, the battery can stop working after the power utilization device is powered down; that is, after the power utilization device is powered down, the battery is actually in a static state. In the rest state of the battery, heat exchange with the environment is performed, so that the temperature of the battery is reduced; i.e., the battery temperature after power down is primarily affected by the ambient temperature. Based on this, in the embodiment of the application, after the power-on device is powered on in advance, the standing temperature and the ambient temperature of the battery may be obtained, and thus, the target battery cooling curve equation corresponding to the battery of the power-on device may be determined. After the power device is electrified, the temperature acquisition system can start to work, so that the obtained standing temperature of the battery is relatively accurate, and the obtained target battery cooling curve equation can relatively accurately describe the cooling condition of the battery under the influence of the ambient temperature. The temperature curve of the battery after the power-on device is powered down can be generated through the battery cooling curve equation, and the temperature curve represents the temperature of the battery at each moment after the power-on device is powered down, so that the accurate estimation of the temperature of the battery after the power-on device is powered down can be realized.
Corresponding to the temperature curve generation method provided above, the embodiment of the application also provides electronic equipment. Referring to fig. 4, the electronic device 4 in the embodiment of the present application includes: a memory 401, one or more processors 402 (only one shown in fig. 4) and a computer program stored on the memory 401 and executable on the processors. Wherein: the memory 401 is used for storing software programs and modules, and the processor 402 executes various functional applications and data processing by running the software programs and units stored in the memory 401 to obtain resources corresponding to the preset events. Specifically, the processor 402 realizes the following steps by running the above-described computer program stored in the memory 401:
Obtaining a target battery cooling curve equation corresponding to a battery of the power utilization device, wherein the target battery cooling curve equation is determined by the standing temperature and the environmental temperature of the battery after the power utilization device is electrified;
and generating a temperature curve of the battery after the power utilization device is powered down according to a target battery cooling curve equation.
Assuming that the above is a first possible implementation, in a second possible implementation provided on the basis of the first possible implementation, the processor 402 further implements the following steps by running the above-mentioned computer program stored in the memory 401:
after the power utilization device is electrified, acquiring a plurality of battery rest temperatures of the battery and an environment temperature corresponding to each battery rest temperature;
and determining a target battery cooling curve equation based on the rest temperatures of the batteries and the environment temperatures corresponding to the rest temperatures of the batteries.
In a third possible embodiment provided by the second possible embodiment, determining the target battery cooling curve equation based on each battery rest temperature and an ambient temperature corresponding to each battery rest temperature includes:
constructing a cooling rate model, wherein the cooling rate model is used for describing the corresponding relation between the temperature difference between the standing temperature of the battery and the ambient temperature and the cooling rate, and comprises fitting parameters to be identified;
Constructing a battery cooling curve equation to be identified based on the cooling rate model, wherein the battery cooling curve equation is used for describing the iterative relationship of the standing temperature of the battery along with time;
and carrying out parameter identification on the battery cooling curve equation to be identified according to the rest temperature of each battery and the environment temperature corresponding to the rest temperature of each battery to obtain the target battery cooling curve equation.
In a fourth possible implementation manner provided by taking the third possible implementation manner as a basis, performing parameter identification on a battery cooling curve equation to be identified according to each battery rest temperature and an environmental temperature corresponding to each battery rest temperature to obtain a target battery cooling curve equation, where the parameter identification includes:
based on a battery cooling curve equation to be identified, generating a simulation temperature curve by sampling the battery standing temperature at the earliest time and the environment temperature corresponding to each battery standing temperature;
generating a real temperature curve based on the standing temperature of each battery;
and carrying out parameter identification on the battery cooling curve equation to be identified according to the simulation temperature curve and the real temperature curve to obtain a target battery cooling curve equation.
In a fifth possible embodiment provided by the second possible embodiment, the third possible embodiment, or the fourth possible embodiment, after the power-up of the power-up device, a plurality of battery rest temperatures of the battery and an environmental temperature corresponding to each battery rest temperature are obtained, including:
After the power-on device is electrified, a plurality of battery standing temperatures of the battery are obtained through the temperature sampling sensor;
and acquiring the environmental temperature corresponding to the battery rest temperature through the meteorological data obtained through networking at the sampling time corresponding to each battery rest temperature.
In a sixth possible embodiment provided by the above fifth possible embodiment as a basis, acquiring a plurality of battery rest temperatures of the battery by the temperature sampling sensor includes:
acquiring the operation power of the power utilization device;
and under the condition that the running power is 0, the temperature sampling sensor is used for sampling the temperature of the battery for a plurality of times, so that a plurality of battery rest temperatures of the battery are obtained.
In a seventh possible embodiment provided by the first possible embodiment as a basis, the second possible embodiment as a basis, the third possible embodiment as a basis, or the fourth possible embodiment as a basis, generating a temperature profile of the battery after powering down the power-using device according to the target battery cooling profile equation includes:
obtaining an initial battery standing temperature and a real-time environment temperature after the power-down of the power-down device, wherein the initial battery standing temperature is as follows: before the power utilization device is powered down, the temperature of the battery is finally collected;
And generating a temperature curve of the battery after the power-on device is powered down according to the target battery cooling curve equation, the initial battery standing temperature and the real-time environment temperature.
It should be appreciated that in embodiments of the present application, the processor 402 may be a central processing unit (Central Processing Unit, CPU), which may also be other general purpose processors, digital signal processors (Digital Signal Processor, DSPs), application specific integrated circuits (Application Specific Integrated Circuit, ASICs), off-the-shelf programmable gate arrays (Field-Programmable Gate Array, FPGAs) or other programmable logic devices, discrete gate or transistor logic devices, discrete hardware components, or the like. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Memory 401 may include read-only memory and random access memory, and provides instructions and data to processor 402. Some or all of memory 401 may also include non-volatile random access memory. For example, the memory 401 may also store information of a device type.
From the above, the battery can stop working after the power utilization device is powered down; that is, after the power utilization device is powered down, the battery is actually in a static state. In the rest state of the battery, heat exchange with the environment is performed, so that the temperature of the battery is reduced; i.e., the battery temperature after power down is primarily affected by the ambient temperature. Based on this, in the embodiment of the application, after the power-on device is powered on in advance, the standing temperature and the ambient temperature of the battery may be obtained, and thus, the target battery cooling curve equation corresponding to the battery of the power-on device may be determined. After the power device is electrified, the temperature acquisition system can start to work, so that the obtained standing temperature of the battery is relatively accurate, and the obtained target battery cooling curve equation can relatively accurately describe the cooling condition of the battery under the influence of the ambient temperature. The temperature curve of the battery after the power-on device is powered down can be generated through the battery cooling curve equation, and the temperature curve represents the temperature of the battery at each moment after the power-on device is powered down, so that the accurate estimation of the temperature of the battery after the power-on device is powered down can be realized.
It will be apparent to those skilled in the art that, for convenience and brevity of description, only the above-described division of the functional units and modules is illustrated, and in practical application, the above-described functional distribution may be performed by different functional units and modules according to needs, i.e. the internal structure of the apparatus is divided into different functional units or modules to perform all or part of the above-described functions. The functional units and modules in the embodiment may be integrated in one processing unit, or each unit may exist alone physically, or two or more units may be integrated in one unit, where the integrated units may be implemented in a form of hardware or a form of a software functional unit. In addition, specific names of the functional units and modules are only for convenience of distinguishing from each other, and are not used for limiting the protection scope of the present application. The specific working process of the units and modules in the above system may refer to the corresponding process in the foregoing method embodiment, which is not described herein again.
In the foregoing embodiments, the descriptions of the embodiments are emphasized, and in part, not described or illustrated in any particular embodiment, reference is made to the related descriptions of other embodiments.
Those of ordinary skill in the art will appreciate that the various illustrative elements and algorithm steps described in connection with the embodiments disclosed herein may be implemented as electronic hardware, or combinations of external device software and electronic hardware. Whether such functionality is implemented as hardware or software depends upon the particular application and design constraints imposed on the solution. Skilled artisans may implement the described functionality in varying ways for each particular application, but such implementation decisions should not be interpreted as causing a departure from the scope of the present application.
In the embodiments provided in the present application, it should be understood that the disclosed apparatus and method may be implemented in other manners. For example, the system embodiments described above are merely illustrative, e.g., the division of modules or units described above is merely a logical functional division, and there may be additional divisions when actually implemented, e.g., multiple units or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed may be an indirect coupling or communication connection via interfaces, devices or units, which may be in electrical, mechanical or other forms.
The units described above as separate components may or may not be physically separate, and components shown as units may or may not be physical units, may be located in one place, or may be distributed over a plurality of network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
The integrated units described above, if implemented in the form of software functional units and sold or used as stand-alone products, may be stored in a computer readable storage medium. Based on such understanding, the present application implements all or part of the flow of the method of the above-described embodiments, or may be implemented by a computer program to instruct associated hardware, where the computer program may be stored in a computer readable storage medium, where the computer program, when executed by a processor, may implement the steps of each of the method embodiments described above. The computer program comprises computer program code, and the computer program code can be in a source code form, an object code form, an executable file or some intermediate form and the like. The above computer readable storage medium may include: any entity or device capable of carrying the computer program code described above, a recording medium, a U disk, a removable hard disk, a magnetic disk, an optical disk, a computer readable Memory, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), an electrical carrier wave signal, a telecommunications signal, a software distribution medium, and so forth. It should be noted that the content of the computer readable storage medium described above may be appropriately increased or decreased according to the requirements of the jurisdiction's legislation and the patent practice, for example, in some jurisdictions, the computer readable storage medium does not include electrical carrier signals and telecommunication signals according to the legislation and the patent practice.
The above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the technical solutions of the embodiments of the present application, and are intended to be included in the scope of the present application.
Claims (10)
1. A method of generating a temperature profile, comprising:
obtaining a target battery cooling curve equation corresponding to a battery of an electricity utilization device, wherein the target battery cooling curve equation is determined by identifying a battery cooling curve equation to be identified constructed based on a cooling rate model through each battery standing temperature after the electricity utilization device is electrified and each environment temperature corresponding to each battery standing temperature, the cooling rate model is used for describing a corresponding relation between a temperature difference between the battery standing temperature and the environment temperature and a cooling rate, and the battery cooling curve equation is used for describing a relation of iteration of the battery standing temperature along with time;
And generating a temperature curve of the battery after the power utilization device is powered down according to the target battery cooling curve equation.
2. The method of generating a temperature profile according to claim 1, wherein the determining of the target battery cooling profile equation includes:
after the power utilization device is electrified, acquiring a plurality of battery rest temperatures of the battery and an environment temperature corresponding to each battery rest temperature;
and determining the target battery cooling curve equation based on each battery standing temperature and the environment temperature corresponding to each battery standing temperature.
3. The method of generating a temperature profile according to claim 2, wherein determining the target battery cooling profile equation based on each of the battery rest temperatures and the ambient temperature corresponding to each of the battery rest temperatures comprises:
constructing a cooling rate model, wherein the cooling rate model comprises fitting parameters to be identified;
constructing a battery cooling curve equation to be identified based on the cooling rate model;
and carrying out parameter identification on the battery cooling curve equation to be identified according to each battery standing temperature and the environment temperature corresponding to each battery standing temperature to obtain the target battery cooling curve equation.
4. The method for generating a temperature profile according to claim 3, wherein said performing parameter identification on the battery cooling profile equation to be identified according to each of the battery rest temperatures and the ambient temperature corresponding to each of the battery rest temperatures to obtain the target battery cooling profile equation comprises:
generating a simulation temperature curve based on the battery cooling curve equation to be identified, the battery standing temperature with the earliest sampling moment and the environment temperature corresponding to each battery standing temperature;
generating a real temperature curve based on the rest temperature of each battery;
and carrying out parameter identification on the battery cooling curve equation to be identified according to the simulation temperature curve and the real temperature curve to obtain the target battery cooling curve equation.
5. The method for generating a temperature profile according to any one of claims 2 to 4, wherein after the power-on device is powered on, obtaining a plurality of battery rest temperatures of the battery and an ambient temperature corresponding to each of the battery rest temperatures, comprises:
after the power utilization device is electrified, acquiring a plurality of battery standing temperatures of the battery through a temperature sampling sensor;
And acquiring the environmental temperature corresponding to the battery rest temperature through the meteorological data obtained through networking under the sampling time corresponding to each battery rest temperature.
6. The temperature profile generating method according to claim 5, wherein the acquiring a plurality of battery rest temperatures of the battery by the temperature sampling sensor includes:
acquiring the operation power of the power utilization device;
and under the condition that the running power is 0, the temperature sampling sensor samples the temperature of the battery for a plurality of times, so that a plurality of battery rest temperatures of the battery are obtained.
7. The method according to any one of claims 1 to 4, wherein the generating a temperature profile of the battery after the power-down of the power-using device according to the target battery cooling profile equation includes:
obtaining an initial battery standing temperature and a real-time environment temperature after the power utilization device is powered down, wherein the initial battery standing temperature is as follows: before the power utilization device is powered down, the temperature of the battery is finally collected;
and generating a temperature curve of the battery after the power utilization device is powered down according to the target battery cooling curve equation, the initial battery standing temperature and the real-time environment temperature.
8. A temperature profile generating apparatus, comprising:
the first acquisition module is used for acquiring a target battery cooling curve equation corresponding to a battery of the power utilization device, wherein the target battery cooling curve equation is determined by identifying a battery cooling curve equation to be identified constructed based on a cooling rate model through each battery standing temperature after the power utilization device is electrified and each environment temperature corresponding to the battery standing temperature, the cooling rate model is used for describing a corresponding relation between a temperature difference between the battery standing temperature and the environment temperature and a cooling rate, and the battery cooling curve equation is used for describing a relation of battery standing temperature iterating along with time;
and the generating module is used for generating a temperature curve of the battery after the power utilization device is powered down according to the target battery cooling curve equation.
9. An electronic device comprising a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor implements the method of any one of claims 1 to 7 when the computer program is executed.
10. A computer readable storage medium storing a computer program, characterized in that the computer program when executed by a processor implements the method according to any one of claims 1 to 7.
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Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113011007A (en) * | 2021-02-26 | 2021-06-22 | 山东大学 | Method and system for rapidly identifying thermal model parameters of lithium ion power battery |
| CN113341319A (en) * | 2021-04-19 | 2021-09-03 | 北京交通大学 | Method for obtaining discharge curve at any temperature and multiplying power based on parameter interpolation |
| CN113359038A (en) * | 2021-02-23 | 2021-09-07 | 万向一二三股份公司 | Lithium ion battery discharge and connecting piece heat production verification method |
| CN114460423A (en) * | 2021-12-28 | 2022-05-10 | 深圳供电局有限公司 | Method and device for correcting frequency domain dielectric spectrum curve and computer equipment |
| CN116359771A (en) * | 2021-12-28 | 2023-06-30 | 比亚迪股份有限公司 | Lithium ion battery life prediction method, electronic equipment and readable storage medium |
-
2023
- 2023-10-25 CN CN202311390969.XA patent/CN117112971B/en active Active
Patent Citations (5)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113359038A (en) * | 2021-02-23 | 2021-09-07 | 万向一二三股份公司 | Lithium ion battery discharge and connecting piece heat production verification method |
| CN113011007A (en) * | 2021-02-26 | 2021-06-22 | 山东大学 | Method and system for rapidly identifying thermal model parameters of lithium ion power battery |
| CN113341319A (en) * | 2021-04-19 | 2021-09-03 | 北京交通大学 | Method for obtaining discharge curve at any temperature and multiplying power based on parameter interpolation |
| CN114460423A (en) * | 2021-12-28 | 2022-05-10 | 深圳供电局有限公司 | Method and device for correcting frequency domain dielectric spectrum curve and computer equipment |
| CN116359771A (en) * | 2021-12-28 | 2023-06-30 | 比亚迪股份有限公司 | Lithium ion battery life prediction method, electronic equipment and readable storage medium |
Non-Patent Citations (1)
| Title |
|---|
| 李林琛 ; 杨晓雪 ; .电加热炉温度控制系统数学模型的建立及验证.北京工业职业技术学院学报.2010,(04),全文. * |
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