CN116001642A - Method and device for charging power battery, vehicle and storage medium - Google Patents
Method and device for charging power battery, vehicle and storage medium Download PDFInfo
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Abstract
The present disclosure relates to the field of power battery technologies, and in particular, to a method and an apparatus for charging a power battery, a vehicle, and a storage medium, where the method includes: acquiring the current state of charge (SOC) and charging temperature of a power battery; inputting the current SOC and the charging temperature into a pre-established comprehensive satisfaction model, and outputting the optimal comprehensive satisfaction of the charging time and the capacity attenuation of the power battery, wherein the comprehensive satisfaction model is a comprehensive satisfaction function established based on the charging time satisfaction function and the capacity attenuation satisfaction function; and charging the power battery according to the charging current corresponding to the optimal comprehensive satisfaction. Therefore, the problems that the service life of the battery is shortened due to the fact that the charging current is insufficient when the power battery is charged in the related art are solved.
Description
Technical Field
The present disclosure relates to the field of lithium ion power batteries, and in particular, to a method and an apparatus for charging a power battery, a vehicle, and a storage medium.
Background
With the rapid development of new energy electric vehicles, the problems of short endurance mileage and limited endurance time of the power battery are more and more prominent, and research shows that the lithium battery is currently the most suitable storage battery as the power source of the electric vehicle, but the problems of shortening the charging time and prolonging the service life of the lithium battery still have no suitable charging strategy.
In the related art, a method and a device for determining a charging policy are provided, which include that after a current charging parameter of a target vehicle is obtained, a charging duration of the target vehicle is predicted according to the current charging parameter of the target vehicle, and then the charging policy of the target vehicle is determined according to the charging duration and a remaining power of the target vehicle.
Disclosure of Invention
The application provides a charging method, a charging device, a vehicle and a storage medium of a power battery, which are used for solving the problems that the charging current is not enough in consideration of the charging current when the power battery is charged in the related art, so that the service life of the battery is reduced and the like.
An embodiment of a first aspect of the present application provides a method for charging a power battery, including the steps of: acquiring the current state of charge (SOC) and charging temperature of a power battery; inputting the current SOC and the charging temperature into a pre-established comprehensive satisfaction model, and outputting the optimal comprehensive satisfaction of the charging time and the capacity fading of the power battery, wherein the comprehensive satisfaction model is a comprehensive satisfaction function established based on the charging time satisfaction function and the capacity fading satisfaction function; and charging the power battery according to the charging current corresponding to the optimal comprehensive satisfaction.
According to the technical means, the embodiment of the application can obtain the optimal comprehensive satisfaction of the charging time and the capacity fading by establishing the comprehensive satisfaction model and inputting the current state of charge (SOC) and the charging temperature, can be used as an optimal charging strategy, further charges the power battery according to the corresponding charging current, and can effectively optimize the charging time and the service life of the battery, so that the effects of shortening the charging time and improving the charging efficiency and the service life of the battery are achieved.
Optionally, in one embodiment of the present application, the calculating process of the integrated satisfaction includes: calculating the charging time satisfaction of the power battery by using the charging time satisfaction function, the SOC and the charging current; calculating the capacity fading satisfaction degree of the power battery by using the capacity fading satisfaction degree function, the charging temperature and the charging current; and calculating the comprehensive satisfaction degree of the power battery during charging according to the respective weights of the charging time satisfaction degree and the capacity fading satisfaction degree.
According to the technical means, the embodiment of the application can respectively calculate the charging time satisfaction and the capacity attenuation satisfaction of the power battery, so that numerical conditions are provided for the subsequent calculation of the comprehensive satisfaction, and a proper charging strategy can be effectively provided for the subsequent charging by the calculation of the comprehensive satisfaction.
Optionally, in one embodiment of the present application, the inputting the current SOC and the charging temperature into a pre-established integrated satisfaction model, outputting an optimal integrated satisfaction of charging time and capacity fade of the power battery includes: and carrying out optimal solution on the comprehensive satisfaction function by taking the current SOC and the charging temperature as constraint conditions to obtain the optimal comprehensive satisfaction, wherein the maximum value in the comprehensive satisfaction obtained by all solutions is taken as an optimal solution.
According to the technical means, the embodiment of the application can calculate all comprehensive satisfaction based on the current SOC and the charging temperature, and take the maximum value of the comprehensive satisfaction, so that the optimal charging strategy for charging the power battery can be obtained.
Optionally, in one embodiment of the present application, the establishing the charging time satisfaction function includes: taking the charging time of the power battery as an objective function, and presetting SOC change charging current at intervals for one time to obtain multi-step change current; and calculating the charging time of each step according to the change current of each step, accumulating the charging time of each step to obtain the total charging time, and establishing the charging time satisfaction function according to a preset charging time satisfaction interval and the total charging time.
According to the technical means, the multi-step change current can be obtained through the preset SOC, the charging time accumulation of each step is calculated to obtain the total charging time, the charging time satisfaction function is obtained through the combination of the preset charging time satisfaction interval, the total charging time is obtained through the interval and accumulation method, and the calculation accuracy is improved, so that the accuracy of the charging time satisfaction function is improved.
Optionally, in one embodiment of the present application, the establishing of the capacity fade satisfaction function includes: establishing a cycle life model of the power battery according to the temperature and the charging current; determining an index relation conforming to the charging current and the cyclic capacity influence coefficient according to the cyclic life model, performing index fitting on the index relation, and performing constant fitting on the index relation at different temperatures to obtain a cyclic capacity attenuation model; and establishing the capacity attenuation satisfaction function according to a preset capacity attenuation satisfaction interval and the circulating capacity attenuation model.
According to the technical means, the method for fitting different exponential relations by using the exponential fitting and constant fitting can effectively improve the accuracy of the cyclic capacity attenuation model.
An embodiment of a second aspect of the present application provides a charging device for a power battery, including: the acquisition module is used for acquiring the current state of charge (SOC) and the charging temperature of the power battery; the execution module is used for inputting the current SOC and the charging temperature into a pre-established comprehensive satisfaction model and outputting the optimal comprehensive satisfaction of the charging time and the capacity attenuation of the power battery, wherein the comprehensive satisfaction model is a comprehensive satisfaction function established based on a charging time satisfaction function and a capacity attenuation satisfaction function; and the charging module is used for charging the power battery according to the charging current corresponding to the optimal comprehensive satisfaction degree.
Optionally, in one embodiment of the present application, the execution module is further configured to: calculating the charging time satisfaction of the power battery by using the charging time satisfaction function, the SOC and the charging current; calculating the capacity fading satisfaction degree of the power battery by using the capacity fading satisfaction degree function, the charging temperature and the charging current; and calculating the comprehensive satisfaction degree of the power battery during charging according to the respective weights of the charging time satisfaction degree and the capacity fading satisfaction degree.
Optionally, in one embodiment of the present application, the execution module is further configured to: and carrying out optimal solution on the comprehensive satisfaction function by taking the current SOC and the charging temperature as constraint conditions to obtain the optimal comprehensive satisfaction, wherein the maximum value in the comprehensive satisfaction obtained by all solutions is taken as an optimal solution.
Optionally, in one embodiment of the present application, the execution module is further configured to: taking the charging time of the power battery as an objective function, and presetting SOC change charging current at intervals for one time to obtain multi-step change current; and calculating the charging time of each step according to the change current of each step, accumulating the charging time of each step to obtain the total charging time, and establishing the charging time satisfaction function according to a preset charging time satisfaction interval and the total charging time.
Optionally, in one embodiment of the present application, the execution module is further configured to: establishing a cycle life model of the power battery according to the temperature and the charging current; determining an index relation conforming to the charging current and the cyclic capacity influence coefficient according to the cyclic life model, performing index fitting on the index relation, and performing constant fitting on the index relation at different temperatures to obtain a cyclic capacity attenuation model; and establishing the capacity attenuation satisfaction function according to a preset capacity attenuation satisfaction interval and the circulating capacity attenuation model.
An embodiment of a third aspect of the present application provides a vehicle, including: the power battery charging device comprises a memory, a processor and a computer program stored in the memory and capable of running on the processor, wherein the processor executes the program to realize the power battery charging method according to the embodiment.
An embodiment of the fourth aspect of the present application provides a computer-readable storage medium having stored thereon a computer program that is executed by a processor for implementing the method of charging a power battery as described in the above embodiment.
Therefore, the application has at least the following beneficial effects:
1. according to the embodiment of the application, the comprehensive satisfaction model can be established, the current state of charge (SOC) and the charging temperature are input, so that the optimal comprehensive satisfaction of the charging time and the capacity attenuation is obtained, the optimal comprehensive satisfaction can be used as an optimal charging strategy, the power battery is charged according to the corresponding charging current, the charging time and the service life of the battery can be effectively optimized, and the effects of shortening the charging time and improving the charging efficiency and the service life of the battery are achieved.
2. According to the embodiment of the application, the charging time satisfaction and the capacity fading satisfaction of the power battery can be calculated respectively, so that numerical conditions are provided for the subsequent calculation of the comprehensive satisfaction, and a proper charging strategy can be provided for the subsequent charging effectively through the calculation of the comprehensive satisfaction.
3. According to the embodiment of the application, all comprehensive satisfaction can be calculated based on the current SOC and the charging temperature, and the maximum value is taken, so that an optimal charging strategy for charging the power battery can be obtained.
4. According to the embodiment of the application, multi-step change current can be obtained through presetting the SOC, charging time accumulation of each step is calculated to obtain the total charging time, a charging time satisfaction function is obtained by combining a preset charging time satisfaction interval, the total charging time is obtained through an interval and accumulation method, and the calculation accuracy is improved, so that the accuracy of the charging time satisfaction function is improved.
5. According to the method and the device for fitting the different exponential relations, different exponential relations are fitted through the exponential fitting and constant fitting methods, and accuracy of a cyclic capacity attenuation model can be effectively improved.
Additional aspects and advantages of the application will be set forth in part in the description which follows and, in part, will be obvious from the description, or may be learned by practice of the application.
Drawings
The foregoing and/or additional aspects and advantages of the present application will become apparent and readily appreciated from the following description of the embodiments, taken in conjunction with the accompanying drawings, in which:
fig. 1 is a flowchart of a method for charging a power battery according to an embodiment of the present application;
fig. 2 is a schematic diagram of a function of charging time of a lithium battery according to an embodiment of the present application;
FIG. 3 is a schematic diagram of a cycle life model of a lithium-ion power battery provided according to an embodiment of the present application;
FIG. 4 is a schematic diagram of a comprehensive satisfaction function provided in accordance with an embodiment of the present application;
fig. 5 is an example diagram of a charging device for a power battery provided according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of a vehicle according to an embodiment of the present application.
Detailed Description
Embodiments of the present application are described in detail below, examples of which are illustrated in the accompanying drawings, wherein like or similar reference numerals refer to like or similar elements or elements having like or similar functions throughout. The embodiments described below by referring to the drawings are exemplary and intended for the purpose of explaining the present application and are not to be construed as limiting the present application.
The charging method, device, vehicle and storage medium of the power battery according to the embodiments of the present application are described below with reference to the accompanying drawings. In view of the above-mentioned problems in the background art, the present application provides a method for adjusting a charging policy to optimize charging time and lifetime, in which a battery charging policy table is used as a charging boundary, charging characteristics of a battery are analyzed, a lithium battery equivalent circuit model is combined, a charging time function and a battery cycle lifetime model are constructed, the charging policy table is used as corresponding constraint conditions, charging current in a charging process is determined, and two objectives of charging time and battery lifetime are optimized.
Specifically, fig. 1 is a schematic flow chart of a method for charging a power battery according to an embodiment of the present application.
As shown in fig. 1, the charging method of the power battery includes the steps of:
in step S101, the current state of charge SOC and the charging temperature of the power battery are acquired.
The embodiment of the application can obtain the current state of charge (SOC) and the charging temperature by directly detecting the power battery.
In step S102, the current SOC and the charging temperature are input into a pre-established integrated satisfaction model, and the optimal integrated satisfaction of the charging time and the capacity fade of the power battery is output, wherein the integrated satisfaction model is an integrated satisfaction function established based on the charging time satisfaction function and the capacity fade satisfaction function.
It can be understood that the embodiment of the application can obtain the optimal comprehensive satisfaction of the charging time and the capacity attenuation by establishing the comprehensive satisfaction model and inputting the current state of charge (SOC) and the charging temperature, and can be used as an optimal charging strategy to effectively optimize the charging time and the service life of the battery, so that the effects of improving the charging efficiency and the service life of the battery while shortening the charging time are achieved.
Optionally, in one embodiment of the present application, the process of establishing the charge time satisfaction function includes: taking the charging time of the power battery as an objective function, presetting SOC change charging current at intervals for one time, and obtaining multi-step change current; and calculating the charging time of each step according to the change current of each step, accumulating the charging time of each step to obtain the total charging time, and establishing a charging time satisfaction function according to a preset charging time satisfaction interval and the total charging time.
The preset SOC may be set according to actual conditions, for example, 3% SOC, and the like, and is not particularly limited.
The preset charging time satisfaction interval may be set according to practical situations, for example, 0 to 0.5, and is not limited specifically.
It can be understood that in the embodiment of the present application, the multi-step change current may be obtained by presetting the SOC, and the charging time of each step is calculated and accumulated to obtain the total charging time, the charging time satisfaction function is obtained by combining the preset charging time satisfaction interval, and the total charging time is obtained by the interval and accumulation method, so that the accuracy of calculation is improved, and the accuracy of the charging time satisfaction function is improved.
Specifically, for power lithium batteries with different initial SOCs, a charging current variation range is determined according to a charging strategy table, binary codes are realized for all current individuals in each constant-current charging stage, and a population is formed by all individuals, wherein 1 population can be set for charging current every 0.1C, and all individual currents take values in the charging strategy table range.
Wherein, the establishment of the charging time satisfaction function comprises the following contents:
(1) As shown in fig. 2, the charging current is changed once every certain Δsoc with the lithium battery charging time as an objective function, assuming that N steps of changing current are required from charging 0% SOC to charging 100% SOC. The relationship between N and Δsoc is, without taking precharge into account:
(2) The k-th charging time tp is:
the battery charge capacity Q is based on 0.1C charge capacity.
(3) The total charging time t is:
(4) And establishing a satisfaction function for the total charging time, and assuming that a charging time target value t1, a more satisfactory charging time target value t2 and an unsatisfactory charging time target value t3 are set, wherein t1 is less than t2 and less than t3, 0-t1 is a satisfactory area, t1-t2 is a more satisfactory area, and t2-t3 is a runaway area. Therefore, the lithium battery charge time satisfaction function δ1 is expressed as:
the charging time satisfaction degree of the corresponding lithium battery is calculated by using a charging time satisfaction degree function delta 1 of the lithium battery, and the larger the charging time satisfaction degree value is, the closer to 1, the more the charging time accords with the expected value of a user.
Optionally, in one embodiment of the present application, the establishing of the capacity fade satisfaction function includes: establishing a cycle life model of the power battery according to the temperature and the charging current; determining an index relation conforming to the charging current and the cyclic capacity influence coefficient according to the cyclic life model, performing index fitting on the index relation, and performing constant fitting on the index relation at different temperatures to obtain a cyclic capacity attenuation model; and establishing a capacity attenuation satisfaction function according to a preset capacity attenuation satisfaction interval and a cyclic capacity attenuation model.
The preset capacity fading satisfaction interval may be set according to the actual situation, for example, 0.5 to 1, and is not limited specifically.
It can be understood that in the embodiment of the application, the exponential relationship determined by the cyclic life model is fitted by using an exponential fitting method, and the exponential relationship at different temperatures is fitted by using a constant fitting method, so that the accuracy of the cyclic capacity attenuation model can be effectively improved.
Specifically, based on an Arrhenius model, a lithium ion power battery cycle life model is established by taking temperature and charging current as acceleration factors, wherein the charging current value is the average value of all currents in the charging stage, and the battery capacity is the life characteristic quantity.
Wherein the establishment of the capacity fade satisfaction function includes the following:
(1) As shown in fig. 3, the cycle life model of the lithium ion power battery is:
wherein θ1 is a lifetime characteristic amount; a is a constant; ea is the activation energy, and the value is determined by the material; k is a Boltzmann constant; t is absolute temperature.
Where B, C is a constant and S is the charging current.
(2) In combination with step (1), the charging current and the cyclic capacity influence coefficient conform to an exponential relationship:
r＝a 1 *exp(a 2 *I rate )
wherein Irate means a charging current represented by a rated capacity of a battery; a1 and a2 are constants.
(3) Establishing a mathematical model between charging current (Ah) of a power battery and a battery capacity attenuation rate, replacing the cycle times of the power battery by using Ah quantity, then performing exponential fitting shown in the step (2) on the charging current and a cycle capacity influence coefficient by using a least square method, so that the relation between fixed temperature, different charging currents and the power battery cycle capacity can be obtained, and finally, respectively fitting a1 and a2 at different temperatures by using the least square method, so that the relation between a1 and absolute temperature can be obtained, the relation between a2 and b2 and T+b3 of a quadratic polynomials is satisfied, and the relation between a2 and temperature is satisfied, so that the linear relation b4.T+b5 is satisfied.
(4) The cycle capacity decay model of the lithium ion power battery monomer is as follows:
Q loss /％＝(b 1 ·T 2 +b 2 ·T+b 3 )·exp[(b 4 ·T+b 5 )·I rate ]·Ah
(5) Assume that a capacity fade target value Q1, a more satisfactory capacity fade target value Q2, and an unsatisfactory capacity fade target value Q3 are set, and Q1 < Q2 < Q3, wherein 0-Q1 is a satisfactory region, Q1-Q2 is a more satisfactory region, and Q2-Q3 is a runaway region. Thus, the lithium battery capacity fade satisfaction function δ2 is expressed as:
the capacity attenuation satisfaction degree is calculated by using a lithium battery capacity attenuation satisfaction degree function delta 2, and the larger the satisfaction degree value is, the closer to 1, the closer the lithium battery cyclic capacity attenuation value is to the expected value of a user.
Optionally, in one embodiment of the present application, the calculating process of the integrated satisfaction includes: calculating the charging time satisfaction degree of the power battery by using the charging time satisfaction degree function, the SOC and the charging current; calculating the capacity fade satisfaction of the power battery by using the capacity fade satisfaction function, the charging temperature and the charging current; and calculating the comprehensive satisfaction degree of the power battery during charging according to the respective weights of the charging time satisfaction degree and the capacity fading satisfaction degree.
It can be understood that the embodiment of the application can calculate the charging time satisfaction and the capacity decay satisfaction of the power battery respectively, so as to provide numerical conditions for the subsequent calculation of the comprehensive satisfaction, and the calculation of the comprehensive satisfaction can effectively provide a proper charging strategy for the subsequent charging.
Specifically, as shown in fig. 4, the integrated satisfaction function γ is established as:
γ＝xδ 1 +(1-x)δ 2
the comprehensive satisfaction degree function comprises two parts of total charging time and lithium battery cycle capacity attenuation, and the sum of different weight ratios of the charging time and the cycle capacity attenuation satisfaction degree function is utilized to calculate the comprehensive satisfaction degree, wherein the shorter the total charging time is, the better the shorter the cycle capacity attenuation is. If the total charging time is reduced, the charging current should be as large as possible, but the greater the attenuation effect on the circulation capacity, so if the circulation capacity attenuation amount is reduced, the charging current is also reduced.
Optionally, in one embodiment of the present application, inputting the current SOC and the charging temperature into a pre-established integrated satisfaction model, outputting an optimal integrated satisfaction of charging time and capacity fade of the power battery, including: and carrying out optimal solution on the comprehensive satisfaction function by taking the current SOC and the charging temperature as constraint conditions to obtain optimal comprehensive satisfaction, wherein the maximum value in the comprehensive satisfaction obtained by all solutions is taken as an optimal solution.
It can be appreciated that the embodiment of the application can calculate all comprehensive satisfaction degrees based on the current SOC and the charging temperature, and take the maximum value of the comprehensive satisfaction degrees, so that an optimal charging strategy for charging the power battery can be obtained.
Specifically, by calculating the comprehensive satisfaction function, if the gamma value is larger and is closer to 1, the control target is closer to the expected value, and the corresponding charging current result is kept; on the contrary, if the gamma value is closer to 0, the control target does not reach the expected value, at this time, the corresponding charging current value should be discarded, and the number with the largest gamma value is the optimal comprehensive satisfaction.
In step S103, the power battery is charged according to the charging current corresponding to the optimal integrated satisfaction.
It can be understood that the embodiment of the application charges the power battery by using the charging current corresponding to the optimal comprehensive satisfaction, and can effectively optimize the charging time and the service life of the battery, thereby achieving the effects of improving the charging efficiency and the service life of the battery while shortening the charging time.
According to the charging method for the power battery, provided by the embodiment of the application, the charging strategy of the battery is taken into consideration, so that the charging capacity can be improved as much as possible, the influence on the service life of the power battery is reduced on the premise of ensuring the charging speed, the charging efficiency is improved, the comprehensive satisfaction degree is obtained by utilizing the charging time and the cyclic capacity attenuation satisfaction degree function, and the charging strategy of the proper power battery is finally selected, so that the service life of the battery is effectively prolonged while the charging time is shortened.
Next, a charging device for a power battery according to an embodiment of the present application will be described with reference to the accompanying drawings.
Fig. 5 is a block schematic diagram of a charging device of a power battery according to an embodiment of the present application.
As shown in fig. 5, the charging device 10 of the power battery includes: the device comprises an acquisition module 100, an execution module 200 and a charging module 300.
The acquiring module 100 is configured to acquire a current state of charge SOC and a charging temperature of the power battery; the execution module 200 is configured to input the current SOC and the charging temperature into a pre-established integrated satisfaction model, and output an optimal integrated satisfaction of the charging time and the capacity fade of the power battery, where the integrated satisfaction model is an integrated satisfaction function established based on the charging time satisfaction function and the capacity fade satisfaction function; the charging module 300 is configured to charge the power battery according to a charging current corresponding to the optimal integrated satisfaction.
Optionally, in one embodiment of the present application, the execution module 200 is further configured to: calculating the charging time satisfaction degree of the power battery by using the charging time satisfaction degree function, the SOC and the charging current; calculating the capacity fade satisfaction of the power battery by using the capacity fade satisfaction function, the charging temperature and the charging current; and calculating the comprehensive satisfaction degree of the power battery during charging according to the respective weights of the charging time satisfaction degree and the capacity fading satisfaction degree.
Optionally, in one embodiment of the present application, the execution module 200 is further configured to: and carrying out optimal solution on the comprehensive satisfaction function by taking the current SOC and the charging temperature as constraint conditions to obtain optimal comprehensive satisfaction, wherein the maximum value in the comprehensive satisfaction obtained by all solutions is taken as an optimal solution.
Optionally, in one embodiment of the present application, the execution module 200 is further configured to: taking the charging time of the power battery as an objective function, presetting SOC change charging current at intervals for one time, and obtaining multi-step change current; and calculating the charging time of each step according to the change current of each step, accumulating the charging time of each step to obtain the total charging time, and establishing a charging time satisfaction function according to a preset charging time satisfaction interval and the total charging time.
Optionally, in one embodiment of the present application, the execution module 200 is further configured to: establishing a cycle life model of the power battery according to the temperature and the charging current; determining an index relation conforming to the charging current and the cyclic capacity influence coefficient according to the cyclic life model, performing index fitting on the index relation, and performing constant fitting on the index relation at different temperatures to obtain a cyclic capacity attenuation model; and establishing a capacity attenuation satisfaction function according to a preset capacity attenuation satisfaction interval and a cyclic capacity attenuation model.
It should be noted that the foregoing explanation of the embodiment of the charging method for the power battery is also applicable to the charging device for the power battery of this embodiment, and will not be repeated here.
According to the charging device for the power battery, provided by the embodiment of the application, the charging strategy of the battery is taken into consideration, so that the charging capacity can be improved as much as possible, the influence on the service life of the power battery is reduced on the premise of ensuring the charging speed, the charging efficiency is improved, the comprehensive satisfaction degree is obtained by utilizing the charging time and the cyclic capacity attenuation satisfaction degree function, and the charging strategy of the proper power battery is finally selected, so that the service life of the battery is effectively prolonged while the charging time is shortened.
Fig. 6 is a schematic structural diagram of a vehicle according to an embodiment of the present application. The vehicle may include:
a memory 601, a processor 602, and a computer program stored on the memory 601 and executable on the processor 602.
The processor 602 implements the method of charging the power battery provided in the above-described embodiment when executing the program.
Further, the vehicle further includes:
a communication interface 603 for communication between the memory 601 and the processor 602.
A memory 601 for storing a computer program executable on the processor 602.
The memory 601 may include a high-speed RAM (Random Access Memory ) memory, and may also include a nonvolatile memory, such as at least one disk memory.
If the memory 601, the processor 602, and the communication interface 603 are implemented independently, the communication interface 603, the memory 601, and the processor 602 may be connected to each other through a bus and perform communication with each other. The bus may be an ISA (Industry Standard Architecture ) bus, a PCI (Peripheral Component, external device interconnect) bus, or EISA (Extended Industry Standard Architecture ) bus, among others. The buses may be divided into address buses, data buses, control buses, etc. For ease of illustration, only one thick line is shown in fig. 6, but not only one bus or one type of bus.
Alternatively, in a specific implementation, if the memory 601, the processor 602, and the communication interface 603 are integrated on a chip, the memory 601, the processor 602, and the communication interface 603 may perform communication with each other through internal interfaces.
The processor 602 may be a CPU (Central Processing Unit ) or ASIC (Application Specific Integrated Circuit, application specific integrated circuit) or one or more integrated circuits configured to implement embodiments of the present application.
The embodiment of the application also provides a computer readable storage medium, on which a computer program is stored, which when executed by a processor, implements the method for charging a power battery as above.
In the description of the present specification, a description referring to terms "one embodiment," "some embodiments," "examples," "specific examples," or "some examples," etc., means that a particular feature, structure, material, or characteristic described in connection with the embodiment or example is included in at least one embodiment or example of the present application. In this specification, schematic representations of the above terms are not necessarily directed to the same embodiment or example. Furthermore, the particular features, structures, materials, or characteristics described may be combined in any suitable manner in any one or N embodiments or examples. Furthermore, the different embodiments or examples described in this specification and the features of the different embodiments or examples may be combined and combined by those skilled in the art without contradiction.
Furthermore, the terms "first," "second," and the like, are used for descriptive purposes only and are not to be construed as indicating or implying a relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defining "a first" or "a second" may explicitly or implicitly include at least one such feature. In the description of the present application, the meaning of "N" is at least two, such as two, three, etc., unless explicitly defined otherwise.
Any process or method descriptions in flow charts or otherwise described herein may be understood as representing modules, segments, or portions of code which include one or more N executable instructions for implementing specific logical functions or steps of the process, and further implementations are included within the scope of the preferred embodiment of the present application in which functions may be executed out of order from that shown or discussed, including substantially concurrently or in reverse order, depending on the functionality involved, as would be understood by those reasonably skilled in the art of the embodiments of the present application.
It is to be understood that portions of the present application may be implemented in hardware, software, firmware, or a combination thereof. In the above-described embodiments, the N steps or methods may be implemented in software or firmware stored in a memory and executed by a suitable instruction execution system. As with the other embodiments, if implemented in hardware, may be implemented using any one or combination of the following techniques, as is well known in the art: discrete logic circuits having logic gates for implementing logic functions on data signals, application specific integrated circuits having suitable combinational logic gates, programmable gate arrays, field programmable gate arrays, and the like.
Those of ordinary skill in the art will appreciate that all or part of the steps carried out in the method of the above-described embodiments may be implemented by a program to instruct related hardware, and the program may be stored in a computer readable storage medium, where the program when executed includes one or a combination of the steps of the method embodiments.
Although embodiments of the present application have been shown and described above, it will be understood that the above embodiments are illustrative and not to be construed as limiting the application, and that variations, modifications, alternatives, and variations may be made to the above embodiments by one of ordinary skill in the art within the scope of the application.
Claims (10)
1. A method of charging a power battery, comprising the steps of:
acquiring the current state of charge (SOC) and charging temperature of a power battery;
inputting the current SOC and the charging temperature into a pre-established comprehensive satisfaction model, and outputting the optimal comprehensive satisfaction of the charging time and the capacity fading of the power battery, wherein the comprehensive satisfaction model is a comprehensive satisfaction function established based on the charging time satisfaction function and the capacity fading satisfaction function;
and charging the power battery according to the charging current corresponding to the optimal comprehensive satisfaction.
2. The method of claim 1, wherein the process of calculating the integrated satisfaction comprises:
calculating the charging time satisfaction of the power battery by using the charging time satisfaction function, the SOC and the charging current;
calculating the capacity fading satisfaction degree of the power battery by using the capacity fading satisfaction degree function, the charging temperature and the charging current;
and calculating the comprehensive satisfaction degree of the power battery during charging according to the respective weights of the charging time satisfaction degree and the capacity fading satisfaction degree.
3. The method according to claim 1 or 2, wherein said inputting the current SOC and the charging temperature into a pre-established integrated satisfaction model, outputting an optimal integrated satisfaction of charging time and capacity fade of the power battery, comprises:
and carrying out optimal solution on the comprehensive satisfaction function by taking the current SOC and the charging temperature as constraint conditions to obtain the optimal comprehensive satisfaction, wherein the maximum value in the comprehensive satisfaction obtained by all solutions is taken as an optimal solution.
4. The method of claim 1, wherein the establishing of the charge time satisfaction function comprises:
taking the charging time of the power battery as an objective function, and presetting SOC change charging current at intervals for one time to obtain multi-step change current;
and calculating the charging time of each step according to the change current of each step, accumulating the charging time of each step to obtain the total charging time, and establishing the charging time satisfaction function according to a preset charging time satisfaction interval and the total charging time.
5. The method of claim 1, wherein the establishing of the capacity fade satisfaction function comprises:
establishing a cycle life model of the power battery according to the temperature and the charging current;
determining an index relation conforming to the charging current and the cyclic capacity influence coefficient according to the cyclic life model, performing index fitting on the index relation, and performing constant fitting on the index relation at different temperatures to obtain a cyclic capacity attenuation model;
and establishing the capacity attenuation satisfaction function according to a preset capacity attenuation satisfaction interval and the circulating capacity attenuation model.
6. A charging device for a power battery, comprising:
the acquisition module is used for acquiring the current state of charge (SOC) and the charging temperature of the power battery;
the execution module is used for inputting the current SOC and the charging temperature into a pre-established comprehensive satisfaction model and outputting the optimal comprehensive satisfaction of the charging time and the capacity attenuation of the power battery, wherein the comprehensive satisfaction model is a comprehensive satisfaction function established based on a charging time satisfaction function and a capacity attenuation satisfaction function;
and the charging module is used for charging the power battery according to the charging current corresponding to the optimal comprehensive satisfaction degree.
7. The apparatus of claim 6, wherein the execution module is further to:
calculating the charging time satisfaction of the power battery by using the charging time satisfaction function, the SOC and the charging current;
calculating the capacity fading satisfaction degree of the power battery by using the capacity fading satisfaction degree function, the charging temperature and the charging current;
and calculating the comprehensive satisfaction degree of the power battery during charging according to the respective weights of the charging time satisfaction degree and the capacity fading satisfaction degree.
8. The apparatus of claim 6 or 7, wherein the execution module is further to:
and carrying out optimal solution on the comprehensive satisfaction function by taking the current SOC and the charging temperature as constraint conditions to obtain the optimal comprehensive satisfaction, wherein the maximum value in the comprehensive satisfaction obtained by all solutions is taken as an optimal solution.
9. A vehicle, characterized by comprising: a memory, a processor and a computer program stored on the memory and executable on the processor, the processor executing the program to implement the method of charging a power cell as claimed in any one of claims 1 to 5.
10. A computer-readable storage medium, on which a computer program is stored, characterized in that the program is executed by a processor for realizing the method of charging a power battery according to any one of claims 1-5.
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| CN202310078752.9A CN116001642A (en) | 2023-01-19 | 2023-01-19 | Method and device for charging power battery, vehicle and storage medium |
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