A charging method, device, equipment and medium

Abstract

A charging method, device, equipment and medium provided by an embodiment of the present invention have the following beneficial effects: by calibrating the heat capacity and maximum heat dissipation coefficient of the battery cavity; obtaining multiple battery temperatures, identifying the first coefficient and the second coefficient of the thermal balance equation of the battery cavity, which are used to estimate the average impedance and heat dissipation coefficient of the battery respectively; when the battery temperature is less than the first-level temperature over-threshold, charging with the maximum charging current; when the battery temperature is greater than or equal to the first-level temperature over-threshold and less than the second-level temperature over-threshold, the charging current is estimated and charged according to the thermal balance equation of the battery cavity, the heat capacity, the average impedance of the battery and the heat dissipation coefficient; when the battery temperature is greater than or equal to the second-level temperature over-threshold, the charging current is zero. The present invention accurately calibrates the battery cavity parameters, and estimates the charging current in real time through the temperature in the battery cavity and the battery temperature, so that the charging process is always at a higher power, thereby effectively speeding up the charging rate.

Description

Technical Field

[0001] The present invention relates to the field of battery management, and in particular to a charging method, device, equipment and medium. Background Art

[0002] With the continuous development of electrification in recent years, batteries have always been a core key element. Consumers are paying more and more attention to the pain points of battery use, such as long charging time and battery thermal runaway. For fast-charging batteries, battery manufacturers continue to increase the charging rate, and the battery temperature rises sharply. Thermal runaway batteries are mostly caused by battery abuse, especially high-power charging when the battery temperature is high, which leads to overheating and material side reactions, resulting in reduced life or internal short circuits.

[0003] In order to solve the problem of high-temperature charging, over-temperature hierarchical charging management is usually used. This method divides over-temperature into level one, level two, etc. Each level corresponds to a temperature threshold and hysteresis. For example, if there is a two-level alarm system, and the battery manufacturer recommends a maximum charging temperature of 55°C, the level one over-temperature alarm corresponds to 50°C. If the hysteresis is 3°C, the level one over-temperature alarm will be released at 47°C, and the charging power of the level one over-temperature alarm will be reduced by 0.5 times. Similarly, the level two over-temperature alarm corresponds to 55°C. If the hysteresis is 3°C, the level two over-temperature alarm will be released at 52°C, and the charging power of the level one over-temperature alarm will be reduced by 0.1 times. The above figures are for example. However, when the level one alarm or level two is triggered, the charging power will be reduced. When the heat dissipation rate is greater than the heat generation rate, the temperature will drop. When the level one over-temperature alarm or level two alarm is released, the charging power will be normal. When the temperature is from the trigger threshold to the release threshold, the charging speed will decrease.

[0004] It can be seen from the above description that the current battery charging management method leads to a decrease in charging speed. How to increase the battery charging speed is a technical problem that technical personnel in this field urgently need to solve. Summary of the invention

[0005] In order to overcome the shortcoming of low speed of the existing charging method, the present invention proposes a charging method, device, equipment and medium.

[0006] In order to achieve the above object, according to a first aspect of the present invention, an embodiment of the present invention provides a charging method, the method comprising the following steps:

[0007] Calibrate the heat capacity of the battery cavity, where the heat capacity is the average value of the ratio of the total heat generated in the battery cavity to the temperature rise measured multiple times;

[0008] Calibrate the maximum heat dissipation coefficient of the battery cavity, the maximum heat dissipation coefficient is heating from a temperature lower than a first-level over-temperature threshold and maintaining a heating power at the first-level over-temperature threshold;

[0009] Acquire multiple battery temperatures, use the least square method to identify a first coefficient and a second coefficient in a thermal balance equation of a battery cavity, wherein the first coefficient is used to estimate an average impedance of the battery, and the second coefficient is used to estimate a heat dissipation coefficient, and the heat dissipation coefficient is corrected according to a primary temperature over-high threshold and a secondary temperature over-high threshold, wherein the heat dissipation coefficient is limited to the maximum heat dissipation coefficient;

[0010] When the battery temperature is lower than the first level over-temperature threshold, the battery is charged at the maximum charging current;

[0011] When the battery temperature is greater than or equal to the first level over-temperature threshold and less than the second level over-temperature threshold, the charging current is estimated according to the thermal balance equation of the battery cavity, the calibrated heat capacity, the estimated average battery impedance and the corrected heat dissipation coefficient, and the battery is charged with the estimated charging current;

[0012] When the battery temperature is greater than or equal to the secondary over-temperature threshold, the charging current is reduced to zero.

[0013] Optionally, the heat capacity of the calibrated battery cavity is obtained by the following formula:

[0014]

[0015] Where C is the heat capacity of the battery cavity, Qi is the total heat generated in the i-th heating of the battery cavity, I0 is the current passing through the resistor of the heating battery cavity, R0 is the resistor of the heating battery cavity, is the time of the i-th heating, is the temperature rise of the battery cavity during the ith heating, is the preset temperature interval.

[0016] Optionally, the heat dissipation coefficient is corrected according to the first-level over-temperature threshold and the second-level over-temperature threshold by using the following formula:

[0017]

[0018] in, is the corrected heat dissipation factor, is the estimated heat dissipation coefficient, T is the collected battery temperature, It is the first level high temperature threshold. It is the secondary high temperature threshold.

[0019] Optionally, the charging current is estimated according to the thermal balance equation of the battery cavity, the calibrated heat capacity, the estimated average impedance of the battery and the heat dissipation coefficient, and is obtained by the following formula:

[0020]

[0021] Where I is the charging current, C is the calibrated thermal capacity, It is the first level high temperature threshold. is the collected battery temperature, is the collected ambient temperature, is the preset time interval, is the corrected heat dissipation factor, and R is the estimated average battery impedance.

[0022] According to a second aspect of the present invention, an embodiment of the present invention further provides a charging device, comprising:

[0023] A heat capacity calibration module is used to calibrate the heat capacity of the battery cavity, where the heat capacity is the average value of the ratio of the total heat generated in the battery cavity to the temperature rise measured multiple times;

[0024] A maximum heat dissipation coefficient calibration module, used to calibrate the maximum heat dissipation coefficient of the battery cavity, the maximum heat dissipation coefficient is heating from a temperature lower than a first-level over-temperature threshold and maintaining a heating power at the first-level over-temperature threshold;

[0025] an identification module, used to obtain multiple battery temperatures, identify a first coefficient and a second coefficient in a thermal balance equation of a battery cavity using a least square method, wherein the first coefficient is used to estimate an average impedance of the battery, and the second coefficient is used to estimate a heat dissipation coefficient, and the heat dissipation coefficient is corrected according to a primary temperature over-high threshold and a secondary temperature over-high threshold, wherein the heat dissipation coefficient is limited to the maximum heat dissipation coefficient;

[0026] The charging module is used to charge the battery with the maximum charging current when the battery temperature is lower than the first-level over-temperature threshold; when the battery temperature is higher than or equal to the first-level over-temperature threshold and lower than the second-level over-temperature threshold, estimate the charging current according to the above-mentioned battery cavity thermal balance equation, as well as the calibrated thermal capacity, the estimated battery average impedance and the corrected heat dissipation coefficient, and charge the battery with the estimated charging current; when the battery temperature is higher than or equal to the second-level over-temperature threshold, reduce the charging current to zero.

[0027] Optionally, the heat capacity calibration module calibrates the heat capacity of the battery cavity, which is obtained by the following formula:

[0028]

[0029]

[0030]

[0031] Where C is the heat capacity of the battery cavity, Qi is the total heat generated in the i-th heating of the battery cavity, I0 is the current passing through the resistor of the heating battery cavity, R0 is the resistor of the heating battery cavity, is the time of the i-th heating, is the temperature rise of the battery cavity during the ith heating, is the preset temperature interval.

[0032] Optionally, the identification module corrects the heat dissipation coefficient according to the first-level over-temperature threshold and the second-level over-temperature threshold and calculates the heat dissipation coefficient by the following formula:

[0033]

[0034] in, is the corrected heat dissipation factor, is the estimated heat dissipation coefficient, T is the collected battery temperature, It is the first level high temperature threshold. It is the secondary high temperature threshold.

[0035] Optionally, the charging module estimates the charging current according to the thermal balance equation of the battery cavity, the calibrated heat capacity, the estimated average battery impedance and the heat dissipation coefficient, and obtains it through the following formula:

[0036]

[0037] Where I is the charging current, C is the calibrated thermal capacity, It is the first level high temperature threshold. is the collected battery temperature, is the collected ambient temperature, is the preset time interval, is the corrected heat dissipation factor, and R is the estimated average battery impedance.

[0038] According to a third aspect of the present invention, an embodiment of the present invention further provides an electronic device, comprising a memory and a processor, wherein the memory stores a computer program, and when the processor executes the computer program, the steps of the charging method in any one of the above embodiments are implemented.

[0039] According to the fourth aspect of the present invention, an embodiment of the present invention also provides a storage medium, wherein at least one instruction, at least one program, a code set or an instruction set is stored in the storage medium, and the at least one instruction, the at least one program, the code set or the instruction set is loaded and executed by a processor to implement the steps of the charging method in any of the above embodiments.

[0040] As described above, a charging method, device, equipment and medium provided by an embodiment of the present invention have the following beneficial effects: by calibrating the heat capacity of the battery cavity, the heat capacity is the average value of the ratio of the total heat generated in the battery cavity to the temperature rise measured multiple times; calibrating the maximum heat dissipation coefficient of the battery cavity, the maximum heat dissipation coefficient is heating from a temperature lower than the first-level temperature over-high threshold and maintaining the heating power at the first-level temperature over-high threshold; obtaining multiple battery temperatures, using the least squares method to identify the first coefficient and the second coefficient in the thermal balance equation of the battery cavity, the first coefficient is used to estimate the average impedance of the battery, and the second coefficient is used to estimate the average impedance of the battery. Used to estimate the heat dissipation coefficient, correct the heat dissipation coefficient according to the first-level temperature over-threshold and the second-level temperature over-threshold, and the heat dissipation coefficient is limited to the maximum heat dissipation coefficient; when the battery temperature is less than the first-level temperature over-threshold, charge the battery with the maximum charging current; when the battery temperature is greater than or equal to the first-level temperature over-threshold and less than the second-level temperature over-threshold, estimate the charging current according to the battery cavity thermal balance equation, as well as the calibrated heat capacity, the estimated battery average impedance and the corrected heat dissipation coefficient, and charge the battery with the estimated charging current; when the battery temperature is greater than or equal to the second-level temperature over-threshold, reduce the charging current to zero. The present invention accurately calibrates the battery cavity parameters, and estimates the charging current in real time through the temperature in the battery cavity and the battery temperature, so that the charging process is always at a higher power, thereby effectively speeding up the charging rate of the battery. BRIEF DESCRIPTION OF THE DRAWINGS

[0041] Figure 1 is a schematic flow chart of a charging method provided by an embodiment of the present invention;

[0042] Figure 2 is a structural schematic diagram of a charging device provided by an embodiment of the present invention;

[0043] Figure 3 It is a schematic diagram of the hardware structure of an electronic device for executing a charging method provided in an embodiment of the present invention. DETAILED DESCRIPTION

[0044] In order to enable those skilled in the art to better understand the technical solutions in the present invention, the technical solutions in the embodiments of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work should fall within the scope of protection of the present invention.

[0045] See also Figures 1 to 3It should be noted that the illustrations provided in this embodiment are only used to illustrate the basic concept of the present invention in a schematic manner, and the illustrations only show components related to the present invention rather than being drawn according to the number, shape and size of components in actual implementation. In actual implementation, the type, quantity and proportion of each component may be changed arbitrarily, and the component layout may also be more complicated.

[0046] The charging method of the embodiment of the present invention can be applied to the power supply system of a mobile phone battery, a car battery or any other terminal device. In a specific application scenario, the battery is usually placed in a cavity, so the charging of the battery needs to consider the external environment of the battery cavity. In order to facilitate the description of the charging method of the present invention, the present invention takes a mobile phone battery as an example for specific description. It can be foreseen that the method is also applicable to the scenarios of charging other types of batteries, and all should fall within the protection scope of the present invention.

[0047] Mobile phone batteries are usually placed in the battery cavity of the mobile phone shell. A temperature sensor can be configured on the mobile phone battery to detect the battery temperature; in specific implementation, an NTC temperature sensor (Negative Temperature Coeffient Thermistor) can be used. This sensor is a thermistor whose resistance decreases as the temperature increases, showing a negative temperature coefficient characteristic. For cost considerations, the internal temperature of the chip can be used as the ambient temperature Tenv of the battery cavity, and a temperature sensor can also be deployed in the battery cavity to measure the ambient temperature. The battery charging process sets the maximum charging current Imax, the first-level temperature over-threshold Talarm1, and the second-level temperature over-threshold Talarm2.

[0048] See also Figure 1 , is a flow chart of a charging method provided by an embodiment of the present invention, such as Figure 1 As shown, the embodiment of the present invention shows the process of the charging method:

[0049] Step S101: calibrating the heat capacity of the battery cavity, where the heat capacity is an average value of the ratio of the total heat generated in the battery cavity to the temperature rise measured multiple times.

[0050] Heat capacity refers to the amount of heat absorbed (or released) by an object or system for each unit increase (or decrease) in temperature. For a battery cavity, its heat capacity reflects the thermal properties of the battery cavity when the temperature changes. The unit of heat capacity is usually joule per kelvin (J / K).

[0051] In order to calibrate the thermal capacity of the battery cavity, a direct measurement method can be used. Multiple sensors are deployed in the battery cavity of the mobile phone to monitor the cavity temperature. A heat source is placed at the position corresponding to the battery in the battery cavity. The cavity and the heat source are placed in an insulating environment to reduce external heat exchange. The heating is started at a constant power for a period of time, and the temperature data and heating energy during this period are recorded.

[0052] Specifically, an insulating cavity can be made (consistent with the battery cavity space of the mobile phone), a resistor (for example, 100mΩ) can be placed in the cavity, the resistor space is located at the mobile phone battery position, and an NTC is placed at the mobile phone chip position.

[0053] During the calibration process, power is supplied to the resistor, which works as a heat source. When the battery cavity rises by a unit temperature (for example, 1°C), the time taken is recorded, so that the heat generated by the resistor can be calculated, and the heat change corresponding to the unit temperature change, i.e., the heat capacity, can be obtained.

[0054] In specific implementation, the following formula can be used for calculation:

[0055]

[0056]

[0057]

[0058] Where C is the heat capacity of the battery cavity, Qi is the total heat generated in the i-th heating of the battery cavity, I0 is the current passing through the resistor of the heating battery cavity, R0 is the resistor of the heating battery cavity, is the time of the i-th heating, is the temperature rise of the battery cavity during the ith heating, is the preset temperature interval.

[0059] For example, the first time the resistor is energized, the current intensity is I0 (for example, 1A), so that the battery cavity temperature rises , is a preset temperature interval, which can be set to any value. In the embodiment of the present invention, it can be set to 1°C. The total heat generated by the resistor R0 is recorded at time t1. , the heat capacity of the battery cavity obtained by heating it for the first time is calculated as .

[0060] Sequentially, when n=2, that is, the battery cavity is heated for the second time, causing the battery cavity to heat up , record the heating time t2, then the total heat generated by resistor R0 , the heat capacity of the battery cavity obtained by heating the battery cavity for the second time is calculated as .

[0061] By analogy, the battery can be heated n times, where n is a natural number, for example, n can be 100 times, and the average value is calculated to obtain the heat capacity C of the battery cavity, and its physical properties are relatively fixed.

[0062] Step S102: calibrating the maximum heat dissipation coefficient of the battery cavity, wherein the maximum heat dissipation coefficient is heated from a temperature lower than a first-level over-temperature threshold and the heating power is maintained at the first-level over-temperature threshold.

[0063] Similarly, based on the battery cavity and temperature sensor configured in the above steps, a direct measurement method is used to place the battery cavity of the mobile phone in an environment with a first-level overtemperature threshold value Talarm1, and then place it in a Talarm1-1 environment and heat it slowly, keeping the average temperature of the cavity at Talarm1, and observe the heating power of resistor R0 to be P1_1. Similarly, place it in a Talarm1-n environment and heat it slowly, keeping the average temperature of the cavity at Talarm1, and observe the heating power P1_n of resistor R0, where n is a natural number. Each heating power is the corresponding maximum heat dissipation coefficient. In this way, n maximum heat dissipation coefficients can be obtained. , thus obtaining a maximum heat dissipation coefficient List.

[0064] In an exemplary embodiment, if the primary temperature threshold is set to 55°C, then the maximum heat dissipation coefficient corresponding to 55°C-1°C, i.e., 54°C, is Recorded as P1_1; 55℃-2℃, i.e. the maximum heat dissipation coefficient corresponding to 53℃ Recorded as P1_2; 55℃-3℃, i.e. the maximum heat dissipation coefficient corresponding to 52℃ Recorded as P1_3; the maximum heat dissipation coefficient corresponding to 55℃-n℃ Recorded as P1_n.

[0065] The maximum heat dissipation coefficient calibrated in the embodiment of the present invention It is used to limit the maximum value to avoid non-convergence and divergence in the subsequent estimation of the heat dissipation coefficient.

[0066] Step S103: Acquire multiple battery temperatures, use the least squares method to identify the first coefficient and the second coefficient in the thermal balance equation of the battery cavity, the first coefficient is used to estimate the average impedance of the battery, the second coefficient is used to estimate the heat dissipation coefficient, and the heat dissipation coefficient is corrected according to the first-level temperature over-high threshold and the second-level temperature over-high threshold. The heat dissipation coefficient is limited to the maximum heat dissipation coefficient.

[0067] Through the calibration of the above steps, the heat capacity and maximum heat dissipation coefficient of the battery cavity have been obtained. During the specific operation of the battery, it is necessary to obtain the battery temperature in real time. The method for obtaining the battery temperature can be found in the description of the above embodiment and will not be repeated here. Then, based on the multiple battery temperatures obtained in real time, the least squares method is used to identify the thermal balance equation of the battery cavity.

[0068] The differential form of the battery cavity heat balance equation is as follows:

[0069]

[0070] Among them, P represents the power of the heat source, C is the heat capacity of the battery cavity, which is calibrated in the above steps, α represents the heat dissipation coefficient, T is the battery temperature, and Tenv is the collected ambient temperature, and all of them are scalars.

[0071] Discretization equation The above battery cavity heat balance equation, its discretization equation is:

[0072]

[0073] For the battery cavity of the mobile phone, there are also energy-consuming devices such as the screen and motherboard in the battery cavity that generate heat. Therefore, the impedance value of the heat source is not only the heat generated by the battery, but also the impedance of the heat generated during the operation of the entire circuit in the battery cavity, which can be identified online in real time. The impedance of the battery is related to the temperature and SOC (English: State of Charge, Chinese: State of Charge) state. The change of SOC state is a slow process, but the temperature change during charging is very obvious. At the same time, the heat dissipation coefficient and the external environment of the cavity and other heat sources will have an impact, so the least squares method needs to have a forgetting property. The size of the forgetting coefficient is related to the change in temperature.

[0074] For any linear system, it can be expressed as:

[0075]

[0076] The least squares recursive algorithm for online identification parameter estimation is as follows (the derivation process is omitted here):

[0077]

[0078]

[0079]

[0080] Where:

[0081] represents the forgetting factor;

[0082] represents the parameter vector to be estimated;

[0083] represents the parameter vector of the K-th estimation;

[0084] represents the gain coefficient;

[0085] Indicates the amount of output collected;

[0086] Indicates the amount of input collected;

[0087] represents the estimation error covariance;

[0088] The discretized battery cavity heat balance equation is written as follows:

[0089]

[0090] but

[0091]

[0092]

[0093] To simplify the derivation and calculation and to facilitate the explanation of the analytical process, let:

[0094]

[0095]

[0096] Using the least squares principle, the optimal parameter vector is estimated to minimize the square sum of the error between the estimated temperature value and the actual acquisition value for k acquisitions. According to the recursive least squares principle, we can get Then the vector is analyzed to obtain the required identification parameters, where is the first coefficient, which is related to the average impedance of the battery; It is the second coefficient and is related to the heat dissipation coefficient.

[0097]

[0098]

[0099] The above steps estimate the current average impedance and heat dissipation coefficient of the battery in real time, and the heat dissipation coefficient is constrained by the maximum heat dissipation coefficient calibrated in the above steps. That is to say, when the heat dissipation coefficient estimated in real time is higher than the calibrated maximum heat dissipation coefficient, the heat dissipation coefficient is constrained to the maximum heat dissipation coefficient, thereby ensuring the convergence of the calculation.

[0100] Moreover, to ensure robustness and safety, after the heat dissipation coefficient is greater than the first-level over-temperature threshold, the estimated heat dissipation coefficient is corrected according to the first-level over-temperature threshold and the second-level over-temperature threshold, so that the following relationship exists:

[0101]

[0102] in, is the corrected heat dissipation factor, is the estimated heat dissipation coefficient, T is the collected battery temperature, It is the first level high temperature threshold. It is the secondary high temperature threshold.

[0103] Step S104: When the battery temperature is lower than the first level over-temperature threshold, the battery is charged with the maximum charging current.

[0104] According to the real-time monitored battery temperature, if the battery temperature is lower than the first-level overtemperature threshold, it indicates that the battery temperature is within the allowable range. In order to ensure the fastest charging speed, the maximum charging current can be used to charge the battery.

[0105] Step S105: When the battery temperature is greater than or equal to the first level over-temperature threshold and less than the second level over-temperature threshold, the charging current is estimated according to the thermal balance equation of the battery cavity, the calibrated heat capacity, the estimated battery average impedance and the corrected heat dissipation coefficient, and the battery is charged with the estimated charging current.

[0106] When the monitored battery temperature is greater than or equal to the first-level over-temperature threshold and less than the second-level over-temperature threshold, it means that the battery is out of the safety range and the charging current needs to be adjusted.

[0107] Specifically, the charging current is estimated according to the thermal balance equation of the battery cavity, the calibrated heat capacity, the estimated average battery impedance and the corrected heat dissipation coefficient, and is obtained by the following formula:

[0108]

[0109] Where I is the charging current, C is the calibrated thermal capacity, and T alam1 is the first-level over-temperature threshold, T is the collected battery temperature, and T env is the collected ambient temperature, Δt is the preset time interval, α1 is the corrected heat dissipation coefficient, and R is the estimated average impedance of the battery. The time interval can be set according to the specific implementation environment, such as being set to 1s, etc., which is not limited in the present invention.

[0110] In specific implementation, when the battery temperature T is monitored to exceed the first-level temperature threshold, the battery temperature retained in the previous time interval is extracted, and the maximum heat dissipation coefficient corresponding to the corresponding battery temperature value can be queried based on the battery temperature. According to the value relationship of the heat dissipation coefficient determined in the above steps, the heat dissipation coefficient can be uniquely determined. In this way, the heat capacity C is calibrated, Talarm1 is pre-configured when the first-level temperature threshold is too high, the battery temperature T is collected by the temperature sensor, the ambient temperature Tenv is also collected by the temperature sensor, and △t is also pre-configured. The above formula can be used to solve the charging current I used in the current time interval, and the battery is charged with this charging current.

[0111] The same calculation is performed in the next time interval △t to obtain the corresponding charging current.

[0112] In this way, accurate control of the charging current can be achieved. Moreover, in the present invention, the charging power responds quickly and the required adjustment amount is quickly found through real-time estimation, thereby reducing the adjustment time and ensuring that the battery charging is completed at the highest rate.

[0113] Step S106: When the battery temperature is greater than or equal to the secondary over-temperature threshold, the charging current is reduced to zero.

[0114] If the battery temperature is greater than or equal to the secondary temperature threshold, indicating that the battery temperature is beyond the safe range, the charging current is reduced to zero and the battery is allowed to cool down.

[0115] As can be seen from the description of the above embodiments, an embodiment of the present invention provides a charging method, which calibrates the heat capacity of the battery cavity, wherein the heat capacity is the average value of the ratio of the total heat generated in the battery cavity to the rising temperature measured multiple times; calibrates the maximum heat dissipation coefficient of the battery cavity, wherein the maximum heat dissipation coefficient is the heating power of heating from a temperature lower than a first-level temperature-too-high threshold and maintaining at the first-level temperature-too-high threshold; obtains multiple battery temperatures, uses the least squares method to identify the first coefficient and the second coefficient in the thermal balance equation of the battery cavity, wherein the first coefficient is used to estimate the average impedance of the battery, and the second coefficient is used to estimate the heat dissipation coefficient, and the heat dissipation coefficient is corrected according to the first-level temperature-too-high threshold and the second-level temperature-too-high threshold, and the heat dissipation coefficient is limited to the maximum heat dissipation coefficient; when the battery temperature is less than the first-level temperature-too-high threshold, the battery is charged with the maximum charging current; when the battery temperature is greater than or equal to the first-level temperature-too-high threshold and less than the second-level temperature-too-high threshold, the charging current is estimated according to the thermal balance equation of the battery cavity, the calibrated heat capacity, the estimated average battery impedance and the corrected heat dissipation coefficient, and the battery is charged with the estimated charging current; when the battery temperature is greater than or equal to the second-level temperature-too-high threshold, the charging current is reduced to zero. The present invention estimates the charging current in real time according to the battery cavity temperature and the battery temperature, thereby adjusting the charging power so that the charging process is always at a higher power, accelerating the charging rate. At the same time, by calibrating the heat dissipation coefficient, the charging power responds quickly and the required adjustment amount is quickly found, reducing the adjustment time.

[0116] Through the description of the above method embodiments, the technicians in the relevant field can clearly understand that the present invention can be implemented by means of software plus the necessary general hardware platform, and of course it can also be implemented by hardware, but in many cases the former is a better implementation method. Based on this understanding, the technical solution of the present invention is essentially or the part that contributes to the prior art can be embodied in the form of a software product, which is stored in a storage medium and includes a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method described in each embodiment of the present invention. The aforementioned storage medium includes: various media that can store program codes, such as read-only memory (ROM), random access memory (RAM), magnetic disk or optical disk.

[0117] An embodiment of the present invention provides a non-volatile computer storage medium, wherein the computer storage medium stores computer executable instructions, and the computer executable instructions can execute the charging method in any of the above method embodiments.

[0118] Corresponding to the charging method embodiment provided by the present invention, the present invention also provides a charging device.

[0119] See also Figure 2, is a schematic diagram of the structure of a charging device provided by an embodiment of the present invention. As shown in the figure, the device includes:

[0120] The heat capacity calibration module 11 is used to calibrate the heat capacity of the battery cavity, where the heat capacity is the average value of the ratio of the total heat generated in the battery cavity to the temperature rise measured multiple times;

[0121] A maximum heat dissipation coefficient calibration module 12, used to calibrate the maximum heat dissipation coefficient of the battery cavity, the maximum heat dissipation coefficient is heating from a temperature lower than a first-level over-temperature threshold and maintaining a heating power at the first-level over-temperature threshold;

[0122] an identification module 13, used to obtain multiple battery temperatures, identify a first coefficient and a second coefficient in a thermal balance equation of a battery cavity using a least square method, wherein the first coefficient is used to estimate an average impedance of the battery, and the second coefficient is used to estimate a heat dissipation coefficient, and the heat dissipation coefficient is corrected according to a primary temperature over-high threshold and a secondary temperature over-high threshold, and the heat dissipation coefficient is limited to the maximum heat dissipation coefficient;

[0123] The charging module 14 is used to charge the battery with the maximum charging current when the battery temperature is less than the first-level over-temperature threshold; when the battery temperature is greater than or equal to the first-level over-temperature threshold and less than the second-level over-temperature threshold, estimate the charging current according to the above-mentioned battery cavity thermal balance equation, as well as the calibrated heat capacity, the estimated battery average impedance and the corrected heat dissipation coefficient, and charge the battery with the estimated charging current; when the battery temperature is greater than or equal to the second-level over-temperature threshold, reduce the charging current to zero.

[0124] Optionally, the heat capacity calibration module 11 calibrates the heat capacity of the battery cavity, which is obtained by the following formula:

[0125]

[0126]

[0127]

[0128] Where C is the heat capacity of the battery cavity, Qi is the total heat generated in the i-th heating of the battery cavity, I0 is the current passing through the resistor of the heating battery cavity, R0 is the resistor of the heating battery cavity, is the time of the i-th heating, is the temperature rise of the battery cavity during the ith heating, is the preset temperature interval.

[0129] Optionally, the identification module 13 corrects the heat dissipation coefficient according to the first-level over-temperature threshold and the second-level over-temperature threshold and calculates the heat dissipation coefficient by the following formula:

[0130]

[0131] in, is the corrected heat dissipation factor, is the estimated heat dissipation coefficient, T is the collected battery temperature, It is the first level high temperature threshold. It is the secondary high temperature threshold.

[0132] Optionally, the charging module 14 estimates the charging current according to the thermal balance equation of the battery cavity, the calibrated heat capacity, the estimated average battery impedance and the heat dissipation coefficient, and obtains it through the following formula:

[0133]

[0134] Where I is the charging current, C is the calibrated thermal capacity, and T alam1 is the first-level over-temperature threshold, T is the collected battery temperature, and T env is the collected ambient temperature, Δt is the preset time interval, α1 is the corrected heat dissipation coefficient, and R is the estimated average battery impedance.

[0135] Figure 3 is a schematic diagram of the hardware structure of an electronic device for executing a charging method provided by an embodiment of the present invention, such as Figure 3 As shown, the device includes:

[0136] One or more processors 310 and memory 320, Figure 3 A processor 310 is taken as an example.

[0137] The device for executing the charging method may further include: an input device 330 and an output device 340 .

[0138] The processor 310, the memory 320, the input device 330 and the output device 340 may be connected via a bus or other means. Figure 3 The example of connecting through bus is taken in the following.

[0139] The memory 320 is a non-volatile computer-readable storage medium that can be used to store non-volatile software programs, non-volatile computer executable programs and modules, such as program instructions / modules corresponding to the charging method in the embodiment of the present invention (for example, the attached Figure 2 The processor 310 executes various functional applications and data processing of the server by running the non-volatile software programs, instructions and modules stored in the memory 320, that is, the charging method of the above method embodiment is implemented.

[0140] The memory 320 may include a program storage area and a data storage area, wherein the program storage area may store an operating system, an application required for at least one function; the data storage area may store data created according to the use of the charged processing device, etc. In addition, the memory 320 may include a high-speed random access memory, and may also include a non-volatile memory, such as at least one disk storage device, a flash memory device, or other non-volatile solid-state storage device. In some embodiments, the memory 320 may optionally include a memory remotely arranged relative to the processor 310, and these remote memories may be connected to the charged processing device via a network. Examples of the above-mentioned network include, but are not limited to, the Internet, an intranet, a local area network, a mobile communication network, and combinations thereof.

[0141] The input device 330 may receive input digital or character information and generate key signal input related to user settings and function control of the processing device being charged. The output device 340 may include a display device such as a display screen.

[0142] The one or more modules are stored in the memory 320, and when executed by the one or more processors 310, the charging method in any of the above method embodiments is executed.

[0143] The above product can execute the method provided by the embodiment of the present invention, and has the functional modules and beneficial effects corresponding to the execution method. For technical details not described in detail in this embodiment, please refer to the method provided by the embodiment of the present invention.

[0144] The electronic device of the embodiment of the present invention exists in various forms, including but not limited to:

[0145] (1) Mobile communication devices: These devices are characterized by their mobile communication functions and their main purpose is to provide voice and data communications. These terminals include: smart phones (such as iPhone), multimedia phones, functional phones, and low-end phones.

[0146] (2) Ultra-mobile personal computer devices: These devices fall into the category of personal computers, have computing and processing capabilities, and generally also have mobile Internet access features. These terminals include: PDA, MID and UMPC devices, such as iPad.

[0147] (3) Portable entertainment devices: These devices can display and play multimedia content. They include audio and video players (such as iPods), handheld game consoles, e-books, smart toys, and portable car navigation devices.

[0148] (4) Server: A device that provides computing services. The server consists of a processor, hard disk, memory, system bus, etc. The server is similar to a general computer architecture, but because it needs to provide highly reliable services, it has higher requirements in terms of processing power, stability, reliability, security, scalability, and manageability.

[0149] (5) Other electronic devices with data interaction functions.

[0150] The device embodiments described above are merely illustrative, wherein the units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0151] Each embodiment in this specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other, and each embodiment focuses on the differences from other embodiments. In particular, for the device or system embodiment, since it is basically similar to the method embodiment, the description is relatively simple, and the relevant parts can be referred to the partial description of the method embodiment. The device and system embodiments described above are merely schematic, wherein the units described as separate components may or may not be physically separated, and the components displayed as units may or may not be physical units, that is, they may be located in one place, or they may be distributed on multiple network units. Some or all of the modules may be selected according to actual needs to achieve the purpose of the scheme of this embodiment. Ordinary technicians in this field can understand and implement it without paying creative labor.

[0152] It should be noted that, in this article, relational terms such as "first" and "second" are only used to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0153] The above description is only a specific embodiment of the present invention, so that those skilled in the art can understand or implement the present invention. Various modifications to these embodiments will be apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the present invention. Therefore, the present invention will not be limited to the embodiments shown herein, but should conform to the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A charging method, characterized in that: include: Calibrate the heat capacity of the battery cavity, where the heat capacity is the average value of the ratio of the total heat generated in the battery cavity to the temperature rise measured multiple times; Calibrate the maximum heat dissipation coefficient of the battery cavity, the maximum heat dissipation coefficient is heating from a temperature lower than a first-level over-temperature threshold and maintaining a heating power at the first-level over-temperature threshold; Acquire multiple battery temperatures, use the least squares method to identify the first coefficient and the second coefficient in the battery cavity thermal balance equation, the first coefficient is used to estimate the average impedance of the battery, the second coefficient is used to estimate the heat dissipation coefficient, and the heat dissipation coefficient is corrected according to the first-level temperature over-high threshold and the second-level temperature over-high threshold, and the heat dissipation coefficient is limited to the maximum heat dissipation coefficient; the discretization formula of the battery cavity thermal balance equation is as follows: ， in, is the k+1th battery temperature, is the kth battery temperature, is the charging current, is the collected ambient temperature, is the nominal heat capacity, is the average battery impedance, is the heat dissipation coefficient, is the preset time interval, is the first coefficient obtained by identifying the thermal balance equation of the battery cavity using the least squares method, is the second coefficient obtained by identifying the thermal balance equation of the battery cavity using the least squares method; When the battery temperature is lower than the first level over-temperature threshold, the battery is charged at the maximum charging current; When the battery temperature is greater than or equal to the first level over-temperature threshold and less than the second level over-temperature threshold, the charging current is estimated according to the thermal balance equation of the battery cavity, the calibrated heat capacity, the estimated battery average impedance and the corrected heat dissipation coefficient, and the battery is charged with the estimated charging current; the charging current estimation formula is as follows: ， Where I is the charging current, C is the calibrated thermal capacity, It is the first level high temperature threshold. is the collected battery temperature, is the collected ambient temperature, is the preset time interval, is the corrected heat dissipation factor, R is the estimated average battery impedance; When the battery temperature is greater than or equal to the secondary over-temperature threshold, the charging current is reduced to zero.

2. The charging method according to claim 1, characterized in that: The heat capacity of the calibrated battery cavity is obtained by the following formula: ， Where C is the heat capacity of the battery cavity, Qi is the total heat generated in the i-th heating of the battery cavity, I0 is the current passing through the resistor of the heating battery cavity, R0 is the resistor of the heating battery cavity, is the time of the i-th heating, is the temperature rise of the battery cavity during the ith heating, is the preset temperature interval.

3. The charging method according to claim 1, characterized in that: The heat dissipation coefficient correction according to the first-level over-temperature threshold and the second-level over-temperature threshold is calculated by the following formula: ， in, is the corrected heat dissipation factor, is the estimated heat dissipation coefficient, T is the collected battery temperature, It is the first level high temperature threshold. It is the secondary high temperature threshold.

4. A charging device, characterized in that: include: A heat capacity calibration module is used to calibrate the heat capacity of the battery cavity, where the heat capacity is the average value of the ratio of the total heat generated in the battery cavity to the temperature rise measured multiple times; A maximum heat dissipation coefficient calibration module, used to calibrate the maximum heat dissipation coefficient of the battery cavity, the maximum heat dissipation coefficient is heating from a temperature lower than a first-level over-temperature threshold and maintaining a heating power at the first-level over-temperature threshold; The identification module is used to obtain multiple battery temperatures, and use the least square method to identify the first coefficient and the second coefficient in the thermal balance equation of the battery cavity, wherein the first coefficient is used to estimate the average impedance of the battery, and the second coefficient is used to estimate the heat dissipation coefficient, and the heat dissipation coefficient is corrected according to the first-level temperature over-high threshold and the second-level temperature over-high threshold, and the heat dissipation coefficient is limited to the maximum heat dissipation coefficient; the discretization formula of the thermal balance equation of the battery cavity is as follows: ， in, is the k+1th battery temperature, is the kth battery temperature, is the charging current, is the collected ambient temperature, is the nominal heat capacity, is the average battery impedance, is the heat dissipation coefficient, is the preset time interval, is the first coefficient obtained by identifying the thermal balance equation of the battery cavity using the least squares method, is the second coefficient obtained by identifying the thermal balance equation of the battery cavity using the least squares method; The charging module is used to charge the battery with the maximum charging current when the battery temperature is less than the first level over-temperature threshold; when the battery temperature is greater than or equal to the first level over-temperature threshold and less than the second level over-temperature threshold, estimate the charging current according to the above battery cavity thermal balance equation, the calibrated heat capacity, the estimated battery average impedance and the corrected heat dissipation coefficient, and charge the battery with the estimated charging current; when the battery temperature is greater than or equal to the second level over-temperature threshold, reduce the charging current to zero; the charging current estimation formula is as follows: ， Where I is the charging current, C is the calibrated thermal capacity, It is the first level high temperature threshold. is the collected battery temperature, is the collected ambient temperature, is the preset time interval, is the corrected heat dissipation factor, and R is the estimated average battery impedance.

5. The charging device according to claim 4, characterized in that: The heat capacity calibration module calibrates the heat capacity of the battery cavity, which is obtained by the following formula: ， Where C is the heat capacity of the battery cavity, Qi is the total heat generated in the i-th heating of the battery cavity, I0 is the current passing through the resistor of the heating battery cavity, R0 is the resistor of the heating battery cavity, is the time of the i-th heating, is the temperature rise of the battery cavity during the ith heating, is the preset temperature interval.

6. The charging device according to claim 4, characterized in that: The identification module corrects the heat dissipation coefficient according to the first-level over-temperature threshold and the second-level over-temperature threshold and calculates the heat dissipation coefficient by the following formula: ， in, is the corrected heat dissipation factor, is the estimated heat dissipation coefficient, T is the collected battery temperature, It is the first level high temperature threshold. It is the secondary high temperature threshold.

7. An electronic device, characterized in that: The method comprises a memory and a processor, wherein a computer program is stored in the memory, and when the processor executes the computer program, the steps of the charging method according to any one of claims 1 to 3 are implemented.

8. A computer-readable storage medium, characterized in that: The storage medium stores at least one program, and the at least one program is loaded and executed by the processor to implement the steps of the charging method according to any one of claims 1 to 3.

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