CN114814587A - Battery temperature detection method, battery temperature detection device, and storage medium - Google Patents

Battery temperature detection method, battery temperature detection device, and storage medium Download PDF

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Publication number
CN114814587A
CN114814587A CN202110127241.2A CN202110127241A CN114814587A CN 114814587 A CN114814587 A CN 114814587A CN 202110127241 A CN202110127241 A CN 202110127241A CN 114814587 A CN114814587 A CN 114814587A
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battery
temperature compensation
temperature
detection
battery temperature
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魏学文
许珂
陈仁杰
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Beijing Xiaomi Mobile Software Co Ltd
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Beijing Xiaomi Mobile Software Co Ltd
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    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01K—MEASURING TEMPERATURE; MEASURING QUANTITY OF HEAT; THERMALLY-SENSITIVE ELEMENTS NOT OTHERWISE PROVIDED FOR
    • G01K7/00—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements
    • G01K7/16—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using resistive elements
    • G01K7/22—Measuring temperature based on the use of electric or magnetic elements directly sensitive to heat ; Power supply therefor, e.g. using thermoelectric elements using resistive elements the element being a non-linear resistance, e.g. thermistor
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/374—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC] with means for correcting the measurement for temperature or ageing
    • G—PHYSICS
    • G01—MEASURING; TESTING
    • G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/385—Arrangements for measuring battery or accumulator variables

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  • General Physics & Mathematics (AREA)
  • Nonlinear Science (AREA)
  • Charge And Discharge Circuits For Batteries Or The Like (AREA)
  • Secondary Cells (AREA)

Abstract

The present disclosure relates to a battery temperature detection method, a battery temperature detection apparatus, and a storage medium. The battery temperature detection method is applied to electronic equipment, the electronic equipment comprises a battery and one or more heating devices, and the battery temperature detection method comprises the following steps: acquiring a first detection temperature and a second detection temperature, wherein the first detection temperature is the detection temperature of the battery, and the second detection temperature is the detection temperature of each heating device in the one or more heating devices; inputting the first detection temperature and the second detection temperature into a temperature compensation model to obtain a detection temperature compensated for the first detection temperature; the temperature compensation model is obtained by pre-training based on the battery detection temperature, the heating device detection temperature and the battery actual measurement temperature and is suitable for different battery temperature compensation scenes. By the battery temperature detection method, the real temperature of the battery can be represented more accurately by the detection temperature after the battery compensation.

Description

Battery temperature detection method, battery temperature detection device, and storage medium
Technical Field
The present disclosure relates to the field of battery temperature technologies, and in particular, to a battery temperature detection method, a battery temperature detection apparatus, and a storage medium.
Background
With the development of technology, the use of electronic devices has become very popular. Batteries, as a key component in electronic devices, play a crucial role in the proper operation of electronic devices.
In the process of quickly charging the battery, the battery needs to be charged at the upper limit of the safety temperature of the battery so as to ensure the safety of charging. In the related art, the Temperature of the battery is detected by a Temperature sensor having a Negative Temperature Coefficient (NTC), referred to as an NTC sensor. In the process of fast charging of the battery, other heating devices generate heat conduction and heat radiation on the NTC sensor, so that the temperature detected by the NTC sensor is not the temperature of the battery, and the charging speed of the battery is influenced.
In the related art, a specific interpolation compensation mode is often needed to compensate the battery temperature detected by the NTC sensor in a specific charging scenario, so as to detect a more accurate temperature of the battery. Currently, finding a way to detect battery temperature suitable for all charging scenarios is a current hotspot.
Disclosure of Invention
To overcome the problems in the related art, the present disclosure provides a battery temperature detection method, a battery temperature detection apparatus, and a storage medium.
According to a first aspect of the embodiments of the present disclosure, there is provided a battery temperature detection method applied to an electronic device including a battery and one or more heat generating devices, the battery temperature detection method including: acquiring a first detection temperature and a second detection temperature, wherein the first detection temperature is the detection temperature of the battery, and the second detection temperature is the detection temperature of each heating device in the one or more heating devices; inputting the first detection temperature and the second detection temperature into a temperature compensation model to obtain a detection temperature compensated for the first detection temperature; the temperature compensation model is obtained by pre-training based on battery detection temperature, heating device detection temperature and battery actual measurement temperature and is suitable for different battery temperature compensation scenes.
In one embodiment of the present disclosure, the temperature compensation model is determined by: determining a plurality of battery temperature compensation scenarios; respectively acquiring a battery detection temperature, a battery actual measurement temperature and a heating device detection temperature for each battery temperature compensation scene in the plurality of battery temperature compensation scenes; respectively fitting to obtain scene temperature compensation models matched with the multiple battery temperature compensation scenes based on the battery detection temperature, the battery actual measurement temperature and the heating device detection temperature, wherein different battery temperature compensation scenes correspond to different scene temperature compensation models; and based on the scene temperature compensation models respectively matched with the multiple battery temperature compensation scenes, carrying out normalized fitting to obtain the temperature compensation models.
In another embodiment of the present disclosure, the obtaining the temperature compensation model by normalized fitting based on the scene temperature compensation models respectively matched with the multiple battery temperature compensation scenes includes: determining a first battery temperature compensation scenario and a second battery temperature compensation scenario among the plurality of battery temperature compensation scenarios, the first battery temperature compensation scenario being different from the second battery temperature compensation scenario; the first battery temperature compensation scene corresponds to a first scene temperature compensation model, and the second battery temperature compensation scene corresponds to a second scene temperature compensation model; inputting the detected temperature of the battery and the detected temperature of the heating device detected in the second battery temperature compensation scene into the first scene temperature compensation model to obtain the detected temperature after the first battery temperature compensation scene is compensated; adjusting model parameters of the first scene temperature compensation model based on the measured temperature of the second battery temperature compensation scene and the compensated detection temperature to obtain a first fitting temperature compensation model; taking the first fitting temperature compensation model as a scene temperature compensation model corresponding to a new battery temperature compensation scene, and repeatedly executing the steps based on the scene temperature compensation models corresponding to the residual battery temperature compensation scenes according to the processes until all the battery temperature compensation scenes are fitted to obtain a normalized fitted temperature compensation model; the remaining battery temperature compensation scenario is another battery temperature compensation scenario except the first battery temperature compensation scenario and the second battery temperature compensation scenario among the plurality of battery temperature compensation scenarios.
In yet another embodiment of the present disclosure, the battery temperature compensation scene corresponds to a battery temperature compensation scene type, where the battery temperature compensation scene type includes one or more of a static charging scene type, a dynamic charging scene type, and a discharging scene type; the determining a plurality of battery temperature compensation scenarios comprises: determining a plurality of battery temperature compensation scenes in the battery temperature compensation scenes belonging to the same battery temperature compensation scene type; and/or determine a battery temperature compensation scenario of a plurality of different battery temperature compensation scenario types.
In still another embodiment of the present disclosure, acquiring the detection temperature of the heat generating device includes: in response to acquisition of a plurality of heat generating device detection temperatures, a heat generating device detection temperature having a degree of thermal influence on a battery detection temperature greater than a threshold value of the degree of thermal influence is selected among the plurality of heat generating device detection temperatures.
According to a second aspect of the embodiments of the present disclosure, there is provided a battery temperature detection apparatus applied to an electronic device including a battery and one or more heat generating devices, the battery temperature detection apparatus including: the acquisition module is used for acquiring a first detection temperature and a second detection temperature, wherein the first detection temperature is the detection temperature of the battery, and the second detection temperature is the detection temperature of each heating device in the one or more heating devices; the processing module is used for inputting the first detection temperature and the second detection temperature into a temperature compensation model to obtain a detection temperature compensated for the first detection temperature; the temperature compensation model is obtained by pre-training based on battery detection temperature, heating device detection temperature and battery actual measurement temperature and is suitable for different battery temperature compensation scenes.
In one embodiment of the present disclosure, the processing module determines the temperature compensation model by: determining a plurality of battery temperature compensation scenarios; respectively acquiring a battery detection temperature, a battery actual measurement temperature and a heating device detection temperature for each battery temperature compensation scene in the plurality of battery temperature compensation scenes; respectively fitting to obtain scene temperature compensation models matched with the multiple battery temperature compensation scenes based on the battery detection temperature, the battery actual measurement temperature and the heating device detection temperature, wherein different battery temperature compensation scenes correspond to different scene temperature compensation models; and based on the scene temperature compensation models respectively matched with the multiple battery temperature compensation scenes, carrying out normalized fitting to obtain the temperature compensation models.
In another embodiment of the present disclosure, the scene temperature compensation model includes model parameters, and the processing module obtains the temperature compensation model by normalization fitting based on the scene temperature compensation models respectively matched with the multiple battery temperature compensation scenes in the following manner: determining a first battery temperature compensation scenario and a second battery temperature compensation scenario among the plurality of battery temperature compensation scenarios, the first battery temperature compensation scenario being different from the second battery temperature compensation scenario; the first battery temperature compensation scene corresponds to a first scene temperature compensation model, and the second battery temperature compensation scene corresponds to a second scene temperature compensation model; inputting the detected temperature of the battery and the detected temperature of the heating device detected in the second battery temperature compensation scene into the first scene temperature compensation model to obtain the detected temperature after the first battery temperature compensation scene is compensated; adjusting model parameters of the first scene temperature compensation model based on the measured temperature of the second battery temperature compensation scene and the compensated detection temperature to obtain a first fitting temperature compensation model; taking the first fitting temperature compensation model as a scene temperature compensation model corresponding to a new battery temperature compensation scene, and repeatedly executing the steps based on the scene temperature compensation models corresponding to the residual battery temperature compensation scenes according to the processes until all the battery temperature compensation scenes are fitted to obtain a normalized fitted temperature compensation model; the remaining battery temperature compensation scenario is another battery temperature compensation scenario except the first battery temperature compensation scenario and the second battery temperature compensation scenario among the plurality of battery temperature compensation scenarios.
In yet another embodiment of the present disclosure, the battery temperature compensation scenario corresponds to a battery temperature compensation scenario type, and the battery temperature compensation scenario type includes one or more of a static charging scenario type, a dynamic charging scenario type, and a discharging scenario type; the processing module determines a plurality of battery temperature compensation scenarios in the following manner: determining a plurality of battery temperature compensation scenes in the battery temperature compensation scenes belonging to the same battery temperature compensation scene type; and/or determine a battery temperature compensation scenario of a plurality of different battery temperature compensation scenario types.
In another embodiment of the present disclosure, the processing module obtains the detected temperature of the heat generating device by:
in response to acquisition of a plurality of heat generating device detection temperatures, a heat generating device detection temperature having a degree of thermal influence on a battery detection temperature greater than a threshold value of the degree of thermal influence is selected among the plurality of heat generating device detection temperatures.
According to a third aspect of the embodiments of the present disclosure, there is provided a battery temperature detection apparatus including a processor; a memory for storing processor-executable instructions; wherein the processor is configured to invoke an instruction to execute the battery temperature detection method described in the first aspect of the present disclosure or any implementation manner of the first aspect.
According to a fourth aspect of embodiments of the present disclosure, there is provided a non-transitory computer-readable storage medium, wherein instructions of the storage medium, when executed by a processor of a mobile terminal, enable the mobile terminal to perform the battery temperature detection method described in the first aspect of the present disclosure or any implementation manner of the first aspect.
The technical scheme provided by the embodiment of the disclosure can have the following beneficial effects: under any battery temperature compensation scene, the temperature compensation model obtained through pre-training is combined with the detection temperature of the battery and the detection temperature of the heating device, so that the detection temperature compensated by the battery can more accurately represent the real temperature of the battery.
It is to be understood that both the foregoing general description and the following detailed description are exemplary and explanatory only and are not restrictive of the disclosure.
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The accompanying drawings, which are incorporated in and constitute a part of this specification, illustrate embodiments consistent with the present disclosure and together with the description, serve to explain the principles of the disclosure.
Fig. 1 is a flow chart illustrating a battery temperature detection method according to an exemplary embodiment.
FIG. 2 is a flow diagram illustrating a method of determining a temperature compensation model according to an exemplary embodiment.
FIG. 3 is a schematic diagram illustrating a method of determining a compensated detected temperature of a battery according to an exemplary embodiment.
FIG. 4 is a flow chart illustrating one fitting to a temperature compensation model in accordance with an exemplary embodiment.
Fig. 5 is a block diagram illustrating a battery temperature detection apparatus according to an exemplary embodiment.
FIG. 6 is a block diagram illustrating an apparatus for battery temperature detection in accordance with an exemplary embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. When the following description refers to the accompanying drawings, like numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are only a subset of the embodiments of the present disclosure, and not all embodiments. The embodiments described below with reference to the drawings are exemplary and intended to be illustrative of the present disclosure, and should not be construed as limiting the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure. Embodiments of the present disclosure are described in detail below with reference to the accompanying drawings.
In the related art, an NTC sensor disposed on a battery protection plate is used to detect a battery temperature during a charging process. Because the battery electric core is located the battery middle part, it can reflect true battery temperature, and the NTC sensor sets up on the battery protection shield, and then leads to generating heat the device on the battery protection shield and the mainboard chip that charges to produce the influence to the battery temperature that the NTC sensor detected. Further, since the heat capacity of the battery cell is large, the temperature of the battery cell rises slowly when the battery is charged, while the heat capacity of the heat generating device on the protection plate is small, and the temperature of the heat generating device rises rapidly when the battery is charged. Which in turn results in the NTC sensor detecting a temperature that does not correctly characterize the true temperature of the battery.
In the process of charging the battery, the temperature detected by the NTC sensor reaches the upper limit of the safe temperature in the process of charging the battery, however, the actual temperature of the battery cell does not reach the upper limit of the safe temperature, and at this time, the current limiting for charging the battery will affect the charging speed of the battery.
In the related art, a specific interpolation compensation mode is often needed to compensate the battery temperature detected by the NTC sensor in a specific charging scenario, so as to detect a more accurate temperature of the battery. The battery temperature detected by the NTC sensor in a specific charging scene can only be compensated due to a specific interpolation compensation mode, so that a more accurate temperature relative to the battery can be detected. Therefore, finding a way to detect the battery temperature suitable for all charging scenarios is currently a hot spot.
According to the battery temperature detection method, under any battery temperature compensation scene, the temperature compensation model obtained through pre-training is combined with the detection temperature of the battery and the detection temperature of the heating device, the detection temperature after battery compensation can be obtained, and therefore the detection temperature after battery compensation can accurately represent the real temperature of the battery.
Fig. 1 is a flow chart illustrating a battery temperature detection method according to an exemplary embodiment.
In an exemplary embodiment of the present disclosure, the battery temperature detection method may be applied to an electronic device, wherein the electronic device may include a battery and one or more heat generating devices. It is understood that the electronic device may be a terminal or a tablet computer or the like.
As shown in fig. 1, the battery temperature detection method may include steps S11 and S12, which will be described separately below.
In step S11, a first detected temperature and a second detected temperature are acquired. Wherein the first detected temperature is a detected temperature of the battery, and the second detected temperature is a detected temperature of each of the one or more heat generating devices.
In one embodiment, the electronic device may be a terminal, wherein the terminal may be in any battery temperature compensation scenario, wherein the battery temperature compensation scenario may be understood as a scenario in which the detected battery temperature needs to be compensated to obtain a temperature closer to the real temperature of the battery. In an example, the terminal may be in a static charging scenario, such as a screen-off charging scenario or a power-off charging scenario. In another example, the terminal may also be in a dynamic charging scenario, e.g., a scenario where charging is done while the video is playing down. In the application process, the detected temperature of the battery of the terminal, i.e. the first detected temperature, may be obtained. Wherein the first detected temperature may be acquired based on an NTC sensor disposed near the battery. The detected temperature of other heating devices of the terminal, i.e. the second detected temperature, can also be obtained. Wherein the second detected temperature may be acquired based on an NTC sensor provided near each heat generating device. When one heat generating device is provided, a second detected temperature can be acquired. When the number of the heat generating devices is plural, plural second detection temperatures can be acquired.
In step S12, the first detected temperature and the second detected temperature are input to the temperature compensation model, and the detected temperature compensated for the first detected temperature is obtained. The temperature compensation model is obtained by pre-training based on the battery detection temperature, the heating device detection temperature and the battery actual measurement temperature and is suitable for different battery temperature compensation scenes.
In an embodiment, the first detected temperature and the second detected temperature may be input into the temperature compensation model to obtain a detected temperature compensated for the first detected temperature, so as to ensure that the detected temperature compensated for the first detected temperature can more accurately represent the true temperature of the battery. In one example, when there is one heat generating device, a second detected temperature may be acquired. And inputting the first detection temperature and a second detection temperature into the temperature compensation model to obtain a detection temperature compensated for the first detection temperature. In another example, when the heat generating device is plural, plural second detected temperatures may be acquired. And inputting the first detection temperature and the plurality of second detection temperatures into the temperature compensation model to obtain a detection temperature compensated for the first detection temperature.
It should be noted that the temperature compensation model is obtained by pre-training based on the battery detection temperature, the heating device detection temperature and the battery actual measurement temperature, and is suitable for different battery temperature compensation scenes.
According to the battery temperature detection method, under any battery temperature compensation scene, the temperature compensation model obtained through pre-training is combined with the detection temperature of the battery and the detection temperature of the heating device, the detection temperature after battery compensation can be obtained, and therefore the detection temperature after battery compensation can accurately represent the real temperature of the battery.
The present disclosure will explain the manner of determining the temperature compensation model by the following embodiments.
FIG. 2 is a flow diagram illustrating a method of determining a temperature compensation model according to an exemplary embodiment.
In an exemplary embodiment of the present disclosure, determining the temperature compensation model may include steps S21 through S24. The steps will be described separately below.
In step S21, a plurality of battery temperature compensation scenarios are determined.
In one embodiment, multiple battery temperature compensation scenarios may be determined. In an example, the battery temperature compensation scenario may be a static charging scenario, such as a screen-off charging scenario, a shutdown charging scenario, or the like. In another example, the battery temperature compensation scenario may be a dynamic charging scenario, e.g., a scenario in which charging is performed while an application of the terminal is in an operating state. In another example, the battery temperature compensation scenario may also be a discharge scenario, e.g., a scenario in which an application of the terminal is running and discharging to the outside. It will be appreciated that in the charging scenario described above, the temperature of the battery needs to be accurately determined to ensure that the battery is charged quickly while it is safe. In the above discharging scenario, the temperature of the battery needs to be accurately determined, so that the electric quantity of the battery can be accurately determined.
In an exemplary embodiment of the present disclosure, the battery temperature compensation scenario corresponds to a battery temperature compensation scenario type. The battery temperature compensation scene type may include one or more of a static charging scene type, a dynamic charging scene type, and a discharging scene type. Wherein determining a plurality of battery temperature compensation scenarios may be accomplished in the following manner.
In an example, multiple battery temperature compensation scenarios in a battery temperature compensation scenario belonging to the same battery temperature compensation scenario type may be determined. For example, a static charging scene 1, a static charging scene 2, and a static charging scene 3 under the static charging scene type may be determined.
In another embodiment, a battery temperature compensation scenario of a plurality of different battery temperature compensation scenario types may also be determined. For example, a static charging scenario 1 in a static charging scenario type, a dynamic charging scenario 2 in a dynamic charging scenario type, and a discharging scenario 1 in a discharging scenario type may be determined.
Furthermore, the battery detection temperature, the battery actual measurement temperature and the heating device detection temperature can be obtained in each battery temperature compensation scene, a scene temperature compensation model matched with the battery temperature compensation scene is obtained through fitting, and the temperature compensation model is obtained through normalization fitting based on a plurality of scene temperature compensation models obtained through fitting.
In step S22, a battery detection temperature, a battery measured temperature, and a heat generating device detection temperature are acquired for each of the plurality of battery temperature compensation scenarios.
In an embodiment, under each battery temperature compensation scenario, the battery detection temperature, the battery measured temperature, and the heat generating device detection temperature may be obtained separately. It is understood that the battery detection temperature may be detected based on an NTC sensor provided in the battery accessory. The measured temperature of the battery may be detected based on temperature detection software associated with the battery. The detection temperature of the heating device can be detected based on an NTC sensor arranged at the accessory of the heating device.
The detected temperature of the heat generating device is a detected temperature of the heat generating device having a large thermal influence on the detected temperature of the battery.
In an exemplary embodiment of the present disclosure, a heat generating device detection temperature having a degree of thermal influence on a battery detection temperature greater than a threshold value of the degree of thermal influence may be selected among the plurality of heat generating device detection temperatures in response to acquiring the plurality of heat generating device detection temperatures. The heat influence degree of each heating device on the battery detection temperature can be detected by acquiring the detection temperature of each heating device and detecting the heat influence degree of the detection temperature of each heating device on the battery detection temperature based on the correlation detection tool. In the application process, the scene temperature compensation model matched with the battery temperature compensation scene can be obtained through fitting based on the detection temperature of the heating device with the heat influence degree larger than the heat influence degree threshold value, the battery detection temperature and the battery measured temperature. The heat influence degree threshold value may be determined according to actual conditions, and is not particularly limited in the present disclosure.
In another embodiment, the heat generating device detected temperature may be a detected temperature with respect to a preset heat generating device. In an example, the preset heat generating device may be a heat generating device with a high heat value, for example, the preset heat generating device may be a camera module, a display screen, a Central Processing Unit (CPU), and the like. The detection temperature of the preset heat-generating device may be a detection temperature about the camera module, a detection temperature about the display screen, a detection temperature about the CPU, or the like. It should be noted that the preset heating device may be determined according to actual conditions, and in the present disclosure, the preset heating device is not specifically limited.
In step S23, based on the detected battery temperature, the measured battery temperature, and the detected temperature of the heat generating device, scene temperature compensation models matching a plurality of battery temperature compensation scenes are obtained by fitting, respectively, where different battery temperature compensation scenes correspond to different scene temperature compensation models.
In an embodiment, the scene temperature compensation model matching the corresponding battery temperature compensation scene may be obtained by respectively fitting based on the detected battery temperature, and the detected temperature of the heat generating device detected in each battery temperature compensation scene. The scene temperature compensation model matched with the corresponding battery temperature compensation scene can be obtained by fitting in fitting software, such as Matlab software, based on the detected battery detection temperature, the detected battery actual temperature and the detected temperature of the heating device in each battery temperature compensation scene. Different battery temperature compensation scenes correspond to different scene temperature compensation models. It is understood that, by inputting the first detected temperature and the second detected temperature to the scene temperature compensation model corresponding to the battery temperature compensation scene, the detected temperature after compensating for the first detected temperature in the battery temperature compensation scene can be obtained. Furthermore, the real temperature of the battery can be represented more accurately by the compensated detection temperature of the battery.
FIG. 3 is a schematic diagram illustrating a method of determining a compensated detected temperature of a battery according to an exemplary embodiment.
The process of determining the compensated detected temperature of the battery will be described with reference to fig. 3.
In an example, in a static charging scenario, the heat generating devices may include a heat generating device a, a heat generating device B, and a heat generating device C. In the application process, the detection temperature of the heating device A, the detection temperature of the heating device B, the detection temperature of the heating device C, the detection temperature of the battery and the actually measured temperature of the battery can be respectively obtained. It is understood that the detected temperature of the heat generating device a, the detected temperature of the heat generating device B, and the detected temperature of the heat generating device C are referred to as second detected temperatures. Further, fitting calculation is carried out through fitting software based on the detected temperature of the heating device A, the detected temperature of the heating device B, the detected temperature of the heating device C, the detected temperature of the battery and the measured temperature of the battery, and a scene temperature compensation model under the static charging scene is obtained. It can be understood that, based on the scene temperature compensation model in the static charging scene, the detection temperature after the compensation of the first detection temperature in the static charging scene can be obtained, and further, the detection temperature after the compensation of the battery can be ensured to be more accurate to represent the real temperature of the battery. In one embodiment, the model for scene temperature compensation in a static charging scene may be derived as follows:
Y＝0.5231*A-2.5816*B+2.6363*C+0.196*D+0.1958*Tntc+713.4583
wherein Y represents a detected temperature with respect to which the first detected temperature is compensated; a represents the detected temperature of the heat generating device A; b represents the detected temperature of the heat generating device B; c represents the detected temperature of the heat generating device C; d represents the detected temperature of the heat generating device D; tntc represents the detected temperature of the battery.
In step S24, a temperature compensation model is obtained by normalized fitting based on scene temperature compensation models that match each of the plurality of battery temperature compensation scenes.
The detected temperature obtained by compensating the first detected temperature based on the scene temperature compensation model may be a compensated detected temperature in a corresponding battery temperature compensation scene. When the battery temperature compensation scene changes, the scene temperature compensation model needs to be replaced to obtain the detection temperature compensated for the first detection temperature.
In an embodiment, the temperature compensation model may be obtained by normalized fitting based on a scene temperature compensation model matched with each of the plurality of battery temperature compensation scenes, so that in any one of the battery temperature compensation scenes, the detection temperature compensated with respect to the battery may be obtained through the temperature compensation model in combination with the detection temperature of the battery and the detection temperature of the heat generating device. Furthermore, the real temperature of the battery can be represented more accurately by the compensated detection temperature of the battery.
The present disclosure will explain a process of obtaining a temperature compensation model based on a scene temperature compensation model, which is respectively matched with a plurality of battery temperature compensation scenes, by normalization fitting, by the following embodiments.
FIG. 4 is a flow chart illustrating one fitting to a temperature compensation model in accordance with an exemplary embodiment.
In an exemplary embodiment of the present disclosure, the scene temperature compensation model includes model parameters. The normalized fitting to obtain the temperature compensation model may include steps S31 to S34, which will be described separately below.
In step S31, a first battery temperature compensation scenario and a second battery temperature compensation scenario are determined among the plurality of battery temperature compensation scenarios. Wherein the first battery temperature compensation scenario is different from the second battery temperature compensation scenario.
The first battery temperature compensation scenario corresponds to the first scenario temperature compensation model, and the second battery temperature compensation scenario corresponds to the second scenario temperature compensation model.
In one embodiment, a static charging scenario may be determined as a first battery temperature compensation scenario and a dynamic charging scenario may be determined as a second battery temperature compensation scenario among a plurality of battery temperature compensation scenarios. The first scene temperature compensation model may be a scene temperature compensation model in a static charging scene, and the second scene temperature compensation model may be a scene temperature compensation model in a dynamic charging scene.
In step S32, the detected temperature of the battery and the detected temperature of the heat generating device detected in the second battery temperature compensation scenario are input to the first scenario temperature compensation model, so as to obtain the detected temperature after the first battery temperature compensation scenario is compensated.
In step S33, the model parameters of the first scene temperature compensation model are adjusted based on the measured temperature of the second battery temperature compensation scene and the compensated detected temperature, so as to obtain a first fitting temperature compensation model.
The static charging scenario is taken as the first battery temperature compensation scenario, and the dynamic charging scenario is taken as the second battery temperature compensation scenario for example. In an embodiment, the detected temperature of the battery and the detected temperature of the heating device detected in the dynamic charging scenario may be input into the scene temperature compensation model in the static charging scenario, so as to obtain the detected temperature after the battery compensation obtained by applying the scene temperature compensation model in the static charging scenario in the dynamic charging scenario.
Further, based on the detected actual temperature of the battery in the dynamic charging scene and the detected temperature after the battery compensation, the model parameters of the scene temperature compensation model in the static charging scene are adjusted to obtain a first fitting temperature compensation model, so that the first fitting temperature compensation model is suitable for both the static charging scene and the dynamic charging scene.
In step S34, the first fitting temperature compensation model is used as the scene temperature compensation model corresponding to the new battery temperature compensation scene, and the above process is repeated based on the scene temperature compensation models corresponding to the remaining battery temperature compensation scenes until all the battery temperature compensation scenes are fitted, so as to obtain the normalized fitted temperature compensation model. The remaining battery temperature compensation scenes are other battery temperature compensation scenes except the first battery temperature compensation scene and the second battery temperature compensation scene in the plurality of battery temperature compensation scenes.
In an embodiment, the first fitted temperature compensation model obtained by fitting may be combined with the scene temperature compensation models corresponding to the remaining battery temperature compensation scenes, and the above process is repeated until all of the plurality of battery temperature compensation scenes are fitted, so as to obtain the normalized fitted temperature compensation model. It is understood that the remaining battery temperature compensation scenario is a battery temperature compensation scenario other than the first battery temperature compensation scenario and the second battery temperature compensation scenario among the plurality of battery temperature compensation scenarios. In one example, the first battery temperature compensation scenario may be a static charging scenario, the second battery temperature compensation scenario may be a dynamic charging scenario, and the remaining battery temperature compensation scenario may be a discharging scenario. The temperature compensation model after normalized fitting can be suitable for both a static charging scene and a dynamic charging scene, and can also be suitable for a discharging scene.
It can be understood that, according to the above process, the above process is repeatedly performed until all the plurality of battery temperature compensation scenes are fitted, and the temperature compensation model after obtaining the normalized fitting may be a function model of the detected temperatures of the plurality of heat generating devices and the detected temperature of the battery. In one example, the normalized fitted temperature compensation model may be as follows:
T’ cell ＝T A +T B +T C +……+T cell +C
wherein, T' cell Indicating a detected temperature after compensation with respect to the first detected temperature; t is A Indicates the detected temperature of the heat generating device a; t is B Indicates the detected temperature of the heat generating device B; t is C Indicates the detected temperature of the heat generating device C; t is cell Indicating a detected temperature of the battery; c is a constant.
As can be seen from the above description, in any battery temperature compensation scenario, the battery temperature detection method provided by the present disclosure may obtain the compensated detection temperature of the battery by using a pre-trained temperature compensation model and combining the detection temperature of the battery and the detection temperature of the heating device, so that the compensated detection temperature of the battery can more accurately represent the real temperature of the battery.
Based on the same conception, the embodiment of the disclosure also provides a battery temperature detection device.
It is understood that the battery temperature detection apparatus provided by the embodiments of the present disclosure includes hardware structures and/or software modules for performing the respective functions in order to implement the above functions. The disclosed embodiments can be implemented in hardware or a combination of hardware and computer software, in combination with the exemplary elements and algorithm steps disclosed in the disclosed embodiments. Whether a function is performed as hardware or computer software drives hardware 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 disclosure.
Fig. 5 is a block diagram illustrating a battery temperature detection apparatus according to an exemplary embodiment.
In an exemplary embodiment of the present disclosure, the battery temperature detection apparatus is applied to an electronic device, wherein the electronic device may include a battery and one or more heat generating devices. As shown in fig. 5, the battery temperature detection apparatus may include an acquisition module 110 and a processing module 120. Each module will be described separately below.
The acquisition module 110 may be configured to: the method includes the steps of obtaining a first detection temperature and a second detection temperature, wherein the first detection temperature is the detection temperature of a battery, and the second detection temperature is the detection temperature of each heating device in one or more heating devices.
The processing module 120 may be configured for: and inputting the first detection temperature and the second detection temperature into the temperature compensation model to obtain the detection temperature compensated for the first detection temperature. The temperature compensation model is obtained by pre-training based on the battery detection temperature, the heating device detection temperature and the battery actual measurement temperature and is suitable for different battery temperature compensation scenes.
In an exemplary embodiment of the disclosure, the processing module 120 may determine the temperature compensation model in the following manner: determining a plurality of battery temperature compensation scenarios; aiming at each battery temperature compensation scene in a plurality of battery temperature compensation scenes, respectively acquiring a battery detection temperature, a battery actual measurement temperature and a heating device detection temperature; respectively fitting to obtain scene temperature compensation models matched with a plurality of battery temperature compensation scenes based on the battery detection temperature, the battery actual measurement temperature and the heating device detection temperature, wherein different battery temperature compensation scenes correspond to different scene temperature compensation models; and based on the scene temperature compensation models respectively matched with the multiple battery temperature compensation scenes, carrying out normalized fitting to obtain the temperature compensation models.
In an exemplary embodiment of the present disclosure, the scene temperature compensation model includes model parameters, and the processing module 120 may obtain the temperature compensation model by normalization fitting based on the scene temperature compensation models respectively matched with the multiple battery temperature compensation scenes in the following manner: determining a first battery temperature compensation scenario and a second battery temperature compensation scenario among the plurality of battery temperature compensation scenarios, the first battery temperature compensation scenario being different from the second battery temperature compensation scenario; the first battery temperature compensation scene corresponds to a first scene temperature compensation model, and the second battery temperature compensation scene corresponds to a second scene temperature compensation model; inputting the detected temperature of the battery and the detected temperature of the heating device detected in the second battery temperature compensation scene into the first scene temperature compensation model to obtain the detected temperature after the first battery temperature compensation scene is compensated; adjusting model parameters of the first scene temperature compensation model based on the measured temperature of the second battery temperature compensation scene and the compensated detection temperature to obtain a first fitting temperature compensation model; taking the first fitting temperature compensation model as a scene temperature compensation model corresponding to a new battery temperature compensation scene, and repeatedly executing the steps based on the scene temperature compensation models corresponding to the residual battery temperature compensation scenes according to the processes until all the battery temperature compensation scenes are fitted to obtain a normalized fitted temperature compensation model; the remaining battery temperature compensation scenario is a battery temperature compensation scenario other than the first battery temperature compensation scenario and the second battery temperature compensation scenario among the plurality of battery temperature compensation scenarios.
In an exemplary embodiment of the present disclosure, the battery temperature compensation scenario corresponds to a battery temperature compensation scenario type, where the battery temperature compensation scenario type includes one or more of a static charging scenario type, a dynamic charging scenario type, and a discharging scenario type; the processing module 120 may determine a plurality of battery temperature compensation scenarios in the following manner: determining a plurality of battery temperature compensation scenes in the battery temperature compensation scenes belonging to the same battery temperature compensation scene type; and/or determine a battery temperature compensation scenario of a plurality of different battery temperature compensation scenario types.
In an exemplary embodiment of the disclosure, the processing module 120 may obtain the detected temperature of the heat generating device by the following method: in response to acquiring the plurality of heat generating device detection temperatures, a heat generating device detection temperature having a degree of thermal influence on the battery detection temperature greater than a threshold value of the degree of thermal influence is selected among the plurality of heat generating device detection temperatures.
With regard to the apparatus in the above-described embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be elaborated here.
Fig. 6 is a block diagram illustrating an apparatus 200 for battery temperature detection according to an exemplary embodiment. For example, the apparatus 200 for battery temperature detection may be a mobile phone, a computer, a digital broadcast terminal, a messaging device, a game console, a tablet device, a medical device, an exercise device, a personal digital assistant, and the like.
Referring to fig. 6, the apparatus 200 for battery temperature detection may include one or more of the following components: a processing component 202, a memory 204, a power component 206, a multimedia component 208, an audio component 210, an input/output (I/O) interface 212, a sensor component 214, and a communication component 216.
The processing component 202 generally controls the overall operation of the apparatus 200 for battery temperature detection, such as operations associated with display, telephone calls, data communications, camera operations, and recording operations. The processing component 202 may include one or more processors 220 to execute instructions to perform all or a portion of the steps of the battery temperature detection method described above. Further, the processing component 202 can also include one or more modules that facilitate interaction between the processing component 202 and other components. For example, the processing component 202 can also include a multimedia module to facilitate interaction between the multimedia component 208 and the processing component 202.
The memory 204 may be configured to store various types of data to support operation of the apparatus 200 for battery temperature detection. Examples of such data include instructions for any application or method that may be used to operate on the apparatus for battery temperature detection 200, contact data, phonebook data, messages, pictures, videos, and the like. The memory 204 may be implemented by any type or combination of volatile or non-volatile memory devices, such as Static Random Access Memory (SRAM), electrically erasable programmable read-only memory (EEPROM), erasable programmable read-only memory (EPROM), programmable read-only memory (PROM), read-only memory (ROM), magnetic memory, flash memory, magnetic or optical disks.
The power component 206 may provide power to various components of the apparatus 200 for battery temperature detection. The power components 206 may also include a power management system, one or more power sources, and other components associated with generating, managing, and distributing power for the apparatus for battery temperature detection 200.
The multimedia component 208 may include a screen providing an output interface between the apparatus for battery temperature detection 200 and a user. In some embodiments, the screen may include a Liquid Crystal Display (LCD) and a Touch Panel (TP). If the screen includes a touch panel, the screen may be implemented as a touch screen to receive an input signal from a user. The touch panel may include one or more touch sensors to sense touches, swipes, and gestures on the touch panel. The touch sensor may not only sense the boundary of a touch or slide action, but also detect the duration and pressure associated with the touch or slide operation. In some embodiments, the multimedia component 208 may include a front facing camera and/or a rear facing camera. The front camera and/or the rear camera may receive external multimedia data when the apparatus for battery temperature detection 200 is in an operation mode, such as a photographing mode or a video mode. Each front camera and rear camera may be a fixed optical lens system or have a focal length and optical zoom capability.
The audio component 210 may be configured to output and/or input audio signals. For example, the audio component 210 may include a Microphone (MIC) that may be configured to receive external audio signals when the apparatus for battery temperature detection 200 is in an operating mode, such as a call mode, a recording mode, and a voice recognition mode. The received audio signals may further be stored in the memory 204 or transmitted via the communication component 216. In some embodiments, audio component 210 may also include a speaker for outputting audio signals.
The I/O interface 212 may provide an interface between the processing component 202 and peripheral interface modules, which may be keyboards, click wheels, buttons, etc. These buttons may include, but are not limited to: a home button, a volume button, a start button, and a lock button.
The sensor assembly 214 may include one or more sensors for providing status assessment of various aspects of the apparatus 200 for battery temperature detection. For example, the sensor assembly 214 may detect the open/closed state of the apparatus 200 for battery temperature detection, the relative positioning of the components, such as the display and keypad of the apparatus 200 for battery temperature detection, the sensor assembly 214 may also detect a change in position of the apparatus 200 for battery temperature detection or a component of the apparatus 200 for battery temperature detection, the presence or absence of user contact with the apparatus 200 for battery temperature detection, the orientation or acceleration/deceleration of the apparatus 200 for battery temperature detection, and a change in temperature of the apparatus 200 for battery temperature detection. The sensor assembly 214 may include a proximity sensor that may be configured to detect the presence of a nearby object without any physical contact. The sensor assembly 214 may also include a light sensor, such as a CMOS or CCD image sensor, for use in imaging applications. In some embodiments, the sensor assembly 214 may also include an acceleration sensor, a gyroscope sensor, a magnetic sensor, a pressure sensor, or a temperature sensor.
The communication component 216 may be configured to facilitate wired or wireless communication between the apparatus for battery temperature detection 200 and other devices. The apparatus for battery temperature detection 200 may access a wireless network based on a communication standard, such as WiFi, 2G or 3G, or a combination thereof. In an example embodiment, the communication component 216 may receive a broadcast signal or broadcast related information from an external broadcast management system via a broadcast channel. In an exemplary embodiment, the communication component 216 can further include a Near Field Communication (NFC) module to facilitate short-range communications. For example, the NFC module may be implemented based on Radio Frequency Identification (RFID) technology, infrared data association (IrDA) technology, Ultra Wideband (UWB) technology, Bluetooth (BT) technology, and other technologies.
In an exemplary embodiment, the apparatus 200 for battery temperature detection may also be implemented by one or more Application Specific Integrated Circuits (ASICs), Digital Signal Processors (DSPs), Digital Signal Processing Devices (DSPDs), Programmable Logic Devices (PLDs), Field Programmable Gate Arrays (FPGAs), controllers, micro-controllers, microprocessors, or other electronic components for performing the above-described battery temperature detection method.
In an exemplary embodiment, a non-transitory computer-readable storage medium comprising instructions, such as memory 204 comprising instructions, executable by processor 220 of apparatus for battery temperature detection 200 to perform the above-described battery temperature detection method is also provided. For example, the non-transitory computer readable storage medium may be a ROM, a Random Access Memory (RAM), a CD-ROM, a magnetic tape, a floppy disk, an optical data storage device, and the like.
It is understood that "plurality" in this disclosure may mean two or more, and other terms are analogous. "and/or" describes the association relationship of the associated objects, meaning that there may be three relationships, e.g., a and/or B, which may mean: a exists alone, A and B exist simultaneously, and B exists alone. The character "/" generally indicates that the former and latter associated objects are in an "or" relationship. The singular forms "a", "an", and "the" are intended to include the plural forms as well, unless the context clearly indicates otherwise.
It will be further understood that the terms "first," "second," and the like, may be used to describe various information and that such information should not be limited by these terms. These terms are only used to distinguish one type of information from another and do not denote a particular order or importance. Indeed, the terms "first," "second," etc. are used interchangeably throughout. For example, first information may also be referred to as second information, and similarly, second information may also be referred to as first information, without departing from the scope of the present disclosure.
In the drawings, the same or similar reference numerals denote the same or similar elements or elements having the same or similar functions throughout. The described embodiments are only a subset of the embodiments of the present disclosure, and not all embodiments. The embodiments described above by reference to the drawings are exemplary and intended to be illustrative of the present disclosure, and should not be construed as limiting the present disclosure. All other embodiments, which can be derived by a person skilled in the art from the embodiments disclosed herein without making any creative effort, shall fall within the protection scope of the present disclosure. The embodiments of the present disclosure are described in detail above with reference to the accompanying drawings.
It is further to be understood that while operations are depicted in the drawings in a particular order, this is not to be understood as requiring that such operations be performed in the particular order shown or in serial order, or that all illustrated operations be performed, to achieve desirable results. In certain environments, multitasking and parallel processing may be advantageous.
Other embodiments of the disclosure will be apparent to those skilled in the art from consideration of the specification and practice of the disclosure disclosed herein. This application is intended to cover any variations, uses, or adaptations of the disclosure following, in general, the principles of the disclosure and including such departures from the present disclosure as come within known or customary practice in the art to which the disclosure pertains. It is intended that the specification and examples be considered as exemplary only, with a true scope and spirit of the disclosure being indicated by the following claims.
It will be understood that the present disclosure is not limited to the precise arrangements described above and shown in the drawings and that various modifications and changes may be made without departing from the scope thereof. The scope of the present disclosure is limited only by the appended claims.

Claims (12)

1. A battery temperature detection method is applied to electronic equipment, the electronic equipment comprises a battery and one or more heating devices, and the battery temperature detection method comprises the following steps:
acquiring a first detection temperature and a second detection temperature, wherein the first detection temperature is the detection temperature of the battery, and the second detection temperature is the detection temperature of each heating device in the one or more heating devices;
inputting the first detection temperature and the second detection temperature into a temperature compensation model to obtain a detection temperature compensated for the first detection temperature;
the temperature compensation model is obtained by pre-training based on battery detection temperature, heating device detection temperature and battery actual measurement temperature and is suitable for different battery temperature compensation scenes.
2. The battery temperature detection method according to claim 1, wherein the temperature compensation model is determined in the following manner:
determining a plurality of battery temperature compensation scenarios;
respectively acquiring a battery detection temperature, a battery actual measurement temperature and a heating device detection temperature for each battery temperature compensation scene in the plurality of battery temperature compensation scenes;
respectively fitting to obtain scene temperature compensation models matched with the multiple battery temperature compensation scenes based on the battery detection temperature, the battery actual measurement temperature and the heating device detection temperature, wherein different battery temperature compensation scenes correspond to different scene temperature compensation models;
and based on the scene temperature compensation models respectively matched with the multiple battery temperature compensation scenes, carrying out normalized fitting to obtain the temperature compensation models.
3. The method for detecting battery temperature according to claim 2, wherein the scene temperature compensation model includes model parameters, and the obtaining the temperature compensation model by normalized fitting based on the scene temperature compensation model matched with each of the plurality of battery temperature compensation scenes comprises:
determining a first battery temperature compensation scenario and a second battery temperature compensation scenario among the plurality of battery temperature compensation scenarios, the first battery temperature compensation scenario being different from the second battery temperature compensation scenario;
the first battery temperature compensation scene corresponds to a first scene temperature compensation model, and the second battery temperature compensation scene corresponds to a second scene temperature compensation model;
inputting the detected temperature of the battery and the detected temperature of the heating device detected in the second battery temperature compensation scene into the first scene temperature compensation model to obtain the detected temperature compensated in the first battery temperature compensation scene;
adjusting model parameters of the first scene temperature compensation model based on the measured temperature of the second battery temperature compensation scene and the compensated detection temperature to obtain a first fitting temperature compensation model;
taking the first fitting temperature compensation model as a scene temperature compensation model corresponding to a new battery temperature compensation scene, and repeatedly executing the steps based on the scene temperature compensation models corresponding to the residual battery temperature compensation scenes according to the processes until all the battery temperature compensation scenes are fitted to obtain a normalized fitted temperature compensation model;
the remaining battery temperature compensation scenario is another battery temperature compensation scenario except the first battery temperature compensation scenario and the second battery temperature compensation scenario among the plurality of battery temperature compensation scenarios.
4. The battery temperature detection method according to claim 2, wherein the battery temperature compensation scenario corresponds to a battery temperature compensation scenario type, and the battery temperature compensation scenario type includes one or more of a static charging scenario type, a dynamic charging scenario type, and a discharging scenario type;
the determining a plurality of battery temperature compensation scenarios comprises:
determining a plurality of battery temperature compensation scenes in the battery temperature compensation scenes belonging to the same battery temperature compensation scene type; and/or
A battery temperature compensation scenario of a plurality of different battery temperature compensation scenario types is determined.
5. The battery temperature detection method according to any one of claims 2 to 4, wherein acquiring the heat generating device detection temperature includes:
in response to acquisition of a plurality of heat generating device detection temperatures, a heat generating device detection temperature having a degree of thermal influence on a battery detection temperature greater than a threshold value of the degree of thermal influence is selected among the plurality of heat generating device detection temperatures.
6. A battery temperature detection apparatus applied to an electronic device including a battery and one or more heat generating devices, the battery temperature detection apparatus comprising:
the acquisition module is used for acquiring a first detection temperature and a second detection temperature, wherein the first detection temperature is the detection temperature of the battery, and the second detection temperature is the detection temperature of each heating device in the one or more heating devices;
the processing module is used for inputting the first detection temperature and the second detection temperature into a temperature compensation model to obtain a detection temperature compensated for the first detection temperature;
the temperature compensation model is obtained by pre-training based on battery detection temperature, heating device detection temperature and battery actual measurement temperature and is suitable for different battery temperature compensation scenes.
7. The battery temperature detection apparatus of claim 6, wherein the processing module determines the temperature compensation model by:
determining a plurality of battery temperature compensation scenarios;
respectively acquiring a battery detection temperature, a battery actual measurement temperature and a heating device detection temperature for each battery temperature compensation scene in the plurality of battery temperature compensation scenes;
respectively fitting to obtain scene temperature compensation models matched with the multiple battery temperature compensation scenes based on the battery detection temperature, the battery actual measurement temperature and the heating device detection temperature, wherein different battery temperature compensation scenes correspond to different scene temperature compensation models;
and based on the scene temperature compensation models respectively matched with the multiple battery temperature compensation scenes, carrying out normalized fitting to obtain the temperature compensation models.
8. The battery temperature detection apparatus according to claim 7, wherein the scene temperature compensation model includes model parameters, and the processing module performs normalized fitting to obtain the temperature compensation model based on the scene temperature compensation model matched with each of the plurality of battery temperature compensation scenes in the following manner:
determining a first battery temperature compensation scenario and a second battery temperature compensation scenario among the plurality of battery temperature compensation scenarios, the first battery temperature compensation scenario being different from the second battery temperature compensation scenario;
the first battery temperature compensation scene corresponds to a first scene temperature compensation model, and the second battery temperature compensation scene corresponds to a second scene temperature compensation model;
inputting the detected temperature of the battery and the detected temperature of the heating device detected in the second battery temperature compensation scene into the first scene temperature compensation model to obtain the detected temperature after the first battery temperature compensation scene is compensated;
adjusting model parameters of the first scene temperature compensation model based on the measured temperature of the second battery temperature compensation scene and the compensated detection temperature to obtain a first fitting temperature compensation model;
taking the first fitting temperature compensation model as a scene temperature compensation model corresponding to a new battery temperature compensation scene, and repeatedly executing the process based on the scene temperature compensation models corresponding to the residual battery temperature compensation scenes until all the multiple battery temperature compensation scenes are fitted to obtain a normalized fitted temperature compensation model;
the remaining battery temperature compensation scenario is another battery temperature compensation scenario except the first battery temperature compensation scenario and the second battery temperature compensation scenario among the plurality of battery temperature compensation scenarios.
9. The battery temperature detection apparatus according to claim 7, wherein the battery temperature compensation scenario corresponds to a battery temperature compensation scenario type, the battery temperature compensation scenario type including one or more of a static charging scenario type, a dynamic charging scenario type, and a discharging scenario type;
the processing module determines a plurality of battery temperature compensation scenarios in the following manner:
determining a plurality of battery temperature compensation scenes in the battery temperature compensation scenes belonging to the same battery temperature compensation scene type; and/or
A battery temperature compensation scenario of a plurality of different battery temperature compensation scenario types is determined.
10. The battery temperature detection apparatus according to any one of claims 7 to 9, wherein the processing module acquires the heat generating device detection temperature by:
in response to acquisition of a plurality of heat generating device detection temperatures, a heat generating device detection temperature having a degree of thermal influence on a battery detection temperature greater than a threshold value of the degree of thermal influence is selected among the plurality of heat generating device detection temperatures.
11. A battery temperature detection apparatus, comprising:
a processor;
a memory for storing processor-executable instructions;
wherein the processor is configured to: the battery temperature detection method according to any one of claims 1 to 5 is performed.
12. A non-transitory computer-readable storage medium having instructions therein, which when executed by a processor of a mobile terminal, enable the mobile terminal to perform the battery temperature detection method of any one of claims 1 to 5.
CN202110127241.2A 2021-01-29 2021-01-29 Battery temperature detection method, battery temperature detection device, and storage medium Pending CN114814587A (en)

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