CN117154906B - Wireless charging regulation and control method with refrigeration function - Google Patents
Wireless charging regulation and control method with refrigeration function Download PDFInfo
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
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- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
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- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B13/00—Adaptive control systems, i.e. systems automatically adjusting themselves to have a performance which is optimum according to some preassigned criterion
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- H01M10/00—Secondary cells; Manufacture thereof
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- H01M10/44—Methods for charging or discharging
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/42—Methods or arrangements for servicing or maintenance of secondary cells or secondary half-cells
- H01M10/44—Methods for charging or discharging
- H01M10/443—Methods for charging or discharging in response to temperature
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/60—Heating or cooling; Temperature control
- H01M10/61—Types of temperature control
- H01M10/613—Cooling or keeping cold
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- H—ELECTRICITY
- H01—ELECTRIC ELEMENTS
- H01M—PROCESSES OR MEANS, e.g. BATTERIES, FOR THE DIRECT CONVERSION OF CHEMICAL ENERGY INTO ELECTRICAL ENERGY
- H01M10/00—Secondary cells; Manufacture thereof
- H01M10/60—Heating or cooling; Temperature control
- H01M10/63—Control systems
- H01M10/633—Control systems characterised by algorithms, flow charts, software details or the like
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- H—ELECTRICITY
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J50/00—Circuit arrangements or systems for wireless supply or distribution of electric power
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- H02J7/0029—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with safety or protection devices or circuits
- H02J7/00309—Overheat or overtemperature protection
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/0047—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries with monitoring or indicating devices or circuits
- H02J7/0048—Detection of remaining charge capacity or state of charge [SOC]
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
- H02J7/00714—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters in response to battery charging or discharging current
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- H—ELECTRICITY
- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/00712—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters
- H02J7/007182—Regulation of charging or discharging current or voltage the cycle being controlled or terminated in response to electric parameters in response to battery voltage
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- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/007188—Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters
- H02J7/007192—Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters in response to temperature
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- H02—GENERATION; CONVERSION OR DISTRIBUTION OF ELECTRIC POWER
- H02J—CIRCUIT ARRANGEMENTS OR SYSTEMS FOR SUPPLYING OR DISTRIBUTING ELECTRIC POWER; SYSTEMS FOR STORING ELECTRIC ENERGY
- H02J7/00—Circuit arrangements for charging or depolarising batteries or for supplying loads from batteries
- H02J7/007—Regulation of charging or discharging current or voltage
- H02J7/007188—Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters
- H02J7/007192—Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters in response to temperature
- H02J7/007194—Regulation of charging or discharging current or voltage the charge cycle being controlled or terminated in response to non-electric parameters in response to temperature of the battery
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Abstract
The invention relates to the technical field of circuit control, and discloses a wireless charging regulation and control method with a refrigerating function, which comprises the following steps: collecting operation parameters of a storage battery module, a charging module and a refrigerating module of the wireless charger; extracting operation parameters; generating a first operation feature, a second operation feature and a third operation feature based on the extracted operation parameters of the storage battery module, the charging module and the refrigerating module of the wireless charger respectively, and then inputting a control parameter generation model, wherein the control parameter generation model generates control parameters of the next control time period, and the control parameters comprise a target value of the output power of the charging module and a target value of the output power of the refrigerating module; the invention can maximize the output power of the storage battery module by dynamically balancing the output power of the charging module and the refrigerating module when the wireless charger is in low power, and maximize the charging speed under the condition of keeping the temperature of the wireless charger not to exceed the limit.
Description
Technical Field
The invention relates to the technical field of circuit control, in particular to a wireless charging regulation and control method with a refrigerating function.
Background
The wireless charging transmitting end of the mobile wireless charger is used as an energy accumulator for supplying power through a storage battery; the output power of the storage battery is influenced by the residual electric quantity, under the condition that the output power cannot meet the maximum power of the refrigeration module and the wireless charging, the refrigeration module is started when the temperature exceeds the limit, the power of the wireless charging is reduced to meet the power required by the refrigeration module until the temperature is reduced to the safe temperature, and the refrigeration module is closed, wherein the whole power is used for supplying the wireless charging;
when the state of charge of the storage battery is low, the internal resistance is increased, which means that the heat generated by the unit power of the storage battery is increased, the temperature is more frequently overrun, and the switching frequency of the refrigeration module is high; when the refrigeration module is started and closed, wireless power fluctuation can be caused, charging voltage of the charging equipment can be caused to frequently fluctuate, and the service life of a battery of the charging equipment is influenced;
although the wireless power supply can be reduced to a lower set value when the electric quantity of the storage battery falls below a set percentage, the residual power is reserved for the refrigerating module, so that the refrigerating module does not need to be frequently started and stopped; however, in order to ensure that the power level is still supported when the power level is continuously reduced, the set value is generally set with reference to the power that can be provided by 5% of the remaining power level of the battery. The charging speed using the set value is very slow compared to the charging speed when the amount of electricity is sufficient.
Disclosure of Invention
The invention provides a wireless charging regulation and control method with a refrigerating function, which solves the technical problems that in the prior art, when the storage battery of a wireless charger is low in electric quantity, in order to maintain the voltage stability of charging output, only the charging power of a lower level is maintained, and the charging speed is very slow.
The invention provides a wireless charging regulation and control method with a refrigerating function, which comprises the following steps:
step S101, collecting operation parameters of a storage battery module, a charging module and a refrigerating module of a wireless charger;
in the step S101, the operation parameters of the charging module and the refrigerating module of the wireless charger are acquired once in the interval time S;
step S102, extracting operation parameters acquired in the previous control time period;
step S103, respectively generating a first operation feature, a second operation feature and a third operation feature based on the extracted operation parameters of the storage battery module, the charging module and the refrigerating module of the wireless charger;
step S104, inputting the first operation feature, the second operation feature and the third operation feature into a control parameter generation model, wherein the control parameter generation model generates control parameters of the next control time period, and the control parameters comprise a target value of the output power of the charging module and a target value of the output power of the refrigerating module;
step S105, adjusting the output power of the charging module to reach the target value of the output power of the charging module, and adjusting the output power of the cooling module to reach the target value of the output power of the cooling module.
In one embodiment of the present invention, in order to ensure that the target value of the output power of the charging module and the target value of the output power of the cooling module generated by the control parameter generation model can achieve the purposes of good temperature control and maximum charging speed after being applied.
In the process of training the control parameter generation model, the difference between the target value of the output power of the charging module and the true value of the output power of the charging module, which are output by the control parameter generation model, is calculated, the difference between the target value of the output power of the refrigerating module and the true value of the output power of the refrigerating module, which are output by the control parameter generation model, is calculated, and the sum of the two difference values is used as a parameter to generate a model loss value.
Further, there is a buffer period between two adjacent control periods, and the length of the buffer period is smaller than the control period.
Further, the output power of the charging module and the output power of the refrigerating module are adjusted to be controlled by a power controller of the wireless charger.
Further, the operating parameters of the battery module include: maximum charge capacity of the battery module, residual capacity of the battery module, output power of the battery module, output voltage of the battery module, output current of the battery module, and temperature of the battery module;
the operating parameters of the charging module include: the output power of the charging module, the output voltage of the charging module, the output current of the charging module and the temperature of the charging module;
the operating parameters of the refrigeration module include: output power of the refrigeration module, output voltage of the refrigeration module and output current of the refrigeration module.
Further, the first operating characteristic is expressed asWherein->And->First and t-th sequence units representing a first operating characteristic, respectively,/for>Wherein->And->Respectively representing a first and a sixth operating parameter of the battery module acquired for the t-th time in a control period;
the second operating characteristic is expressed asWherein->And->First and t-th sequence units representing a second operational feature, respectively,/for each of the first and t-th sequence units>Wherein->And->Respectively representing the first and second of the charging modules acquired for the t-th time in a control periodA fourth operating parameter;
the third operating characteristic is expressed asWherein->And->First and t-th sequence units respectively representing a third operational characteristic; />Wherein->And->Representing the first and third operating parameters of the refrigeration module, respectively, acquired a t-th time during a control period.
Further, the control parameter generation model includes: the input layer inputs the first operation feature, the second operation feature and the third operation feature, the first operation feature, the second operation feature and the third operation feature are spliced to obtain the input feature, the input feature is input to the first hidden layer, the first hidden layer outputs the update feature to the first output layer, the first output layer comprises two full-connection layers, the two full-connection layers respectively input the update feature, and the target value of the output power of the charging module and the target value of the output power of the refrigerating module are respectively output.
Further, the input features are expressed asWherein->And->Respectively represent inputFirst and t sequence units of the feature; />The method comprises the step of splicing the t-th sequence units of the first operation characteristic, the second operation characteristic and the third operation characteristic.
Further, the first hidden layer comprises t LSTM units connected in series, and t sequence units of the input features are respectively input into the t LSTM units;
the operation process of the t LSTM unit is as follows:
forgetting door of t-th LSTM unitThe calculation formula of (2) is as follows: />。
Input gate of the t-th LSTM unitThe calculation formula of (2) is as follows: />。
Intermediate state of the t-th LSTM cellThe calculation formula of (2) is as follows: />。
Output state of the t-th LSTM cellThe calculation formula of (2) is as follows: />。
Output gate of the t-th LSTM unitThe calculation formula of (2) is as follows: />。
Output of the t-th LSTM cellThe calculation formula of (2) is as follows: />。
Definition of the definition，/>，/>T sequence units representing input features, +.>Represents the output of the t-1 th LSTM cell,>indicating the output state of the t-1 th LSTM cell,>representing a first weight parameter,/->Second weight parameter->Representing the first bias parameter, ">Representing a third weight parameter, ++>Representing the fourth weight parameter,/->Representing a second bias parameter, ">Representing a fifth weight parameter,/->Representing a sixth weight parameter,/->Representing a third bias parameter, ">Representing point-wise multiplication->Representing a seventh weight parameter,/->Represents an eighth weight parameter,>representing the fourth bias parameter, +.>Representing sigmoid function->Representing a hyperbolic tangent function.
Further, the method of obtaining true values for training samples used to train the control parameter generation model includes:
constructing an analog simulation system to simulate the charging process of the wireless charger;
inputting the collected operation parameters of the storage battery module, the charging module and the refrigerating module of the wireless charger into an analog simulation system, and randomly generating or manually setting experimental values of the output power of a plurality of groups of charging modules and experimental values of the output power of the refrigerating module according to the following generation conditions;
the generation conditions include: the experimental value of the output power of the charging module and the experimental value of the output power of the refrigerating module are both greater than or equal to 0;
the sum of the experimental value of the output power of the charging module and the experimental value of the output power of the refrigerating module does not exceed the maximum power provided by the storage battery module in the next control time period;
after the experimental values of the output power of the plurality of groups of charging modules and the experimental values of the output power of the refrigerating module are input, checking the simulation result, and only keeping the experimental values of the output power of the charging modules and the experimental values of the output power of the refrigerating module when the temperature of the storage battery module does not exceed a set temperature threshold value in a control time period;
and then continuously calculating the output electric quantity of the charging module in the control time period, and selecting the experimental value of the output power of the charging module with the largest output electric quantity and the experimental value of the output power of the refrigerating module from the experimental values as the true value of the output power of the charging module and the true value of the output power of the refrigerating module corresponding to the input operation parameters.
Further, a difference between a target value of the output power of the charging module and a true value of the output power of the charging module, which are output from the control parameter generation model, is calculated, and a difference between the target value of the output power of the cooling module and the true value of the output power of the cooling module, which are output from the control parameter generation model, is calculated, and the sum of the two differences is used as a parameter generation model loss value.
The invention has the beneficial effects that: the output power of the storage battery module can be utilized to be maximized by dynamically balancing the output power of the charging module and the refrigerating module when the wireless charger is in low power, and the charging speed can be maximized under the condition that the temperature of the wireless charger is not exceeded.
Drawings
Fig. 1 is a flowchart of a wireless charging regulation method with a refrigeration function according to the present invention.
Detailed Description
The subject matter described herein will now be discussed with reference to example embodiments. It is to be understood that these embodiments are merely discussed so that those skilled in the art may better understand and implement the subject matter described herein and that changes may be made in the function and arrangement of the elements discussed without departing from the scope of the disclosure herein. Various examples may omit, replace, or add various procedures or components as desired. In addition, features described with respect to some examples may be combined in other examples as well.
As shown in fig. 1, a wireless charging regulation method with a refrigeration function includes the following steps:
step S101, collecting operation parameters of a storage battery module, a charging module and a refrigerating module of a wireless charger;
in the step S101, the operation parameters of the charging module and the refrigerating module of the wireless charger are acquired once in the interval time S;
step S102, extracting operation parameters acquired in the previous control time period;
step S103, respectively generating a first operation feature, a second operation feature and a third operation feature based on the extracted operation parameters of the storage battery module, the charging module and the refrigerating module of the wireless charger;
step S104, inputting the first operation feature, the second operation feature and the third operation feature into a control parameter generation model, wherein the control parameter generation model generates control parameters of the next control time period, and the control parameters comprise a target value of the output power of the charging module and a target value of the output power of the refrigerating module;
step S105, adjusting the output power of the charging module to reach the target value of the output power of the charging module, and adjusting the output power of the cooling module to reach the target value of the output power of the cooling module.
It should be noted that the previous control period and the next control period are bounded by the current time point, and neither the previous control period nor the next control period includes the current time point.
In one embodiment of the invention, there is a buffer period between two adjacent control periods, the length of the buffer period being less than the control period.
The buffer time period is used to process the data to generate control parameters for the next control time period.
In one embodiment of the invention, the adjustment of the output power of the charging module and the output power of the cooling module is controlled by a power controller of the wireless charger.
Generally, the wireless charger also needs to adjust the output voltage of the charging module according to the feedback of the charging device, but the control of the output power of the charging module is not affected, and the output power of the charging module can be stabilized by adjusting the output current while adjusting the output voltage of the charging module.
In one embodiment of the invention, the length of the control period is T, which is preferably 5-30S.
In one embodiment of the invention, the operating parameters of the battery module include: maximum charge capacity of the battery module, residual capacity of the battery module, output power of the battery module, output voltage of the battery module, output current of the battery module, and temperature of the battery module;
the operating parameters of the charging module include: the output power of the charging module, the output voltage of the charging module, the output current of the charging module and the temperature of the charging module;
the operating parameters of the refrigeration module include: output power of the refrigeration module, output voltage of the refrigeration module and output current of the refrigeration module.
The first operating characteristic is expressed asWherein->And->First and t-th sequence units representing a first operating characteristic, respectively,/for>Wherein->And->Respectively representing a first and a sixth operating parameter of the battery module acquired for the t-th time in a control period;
the second operating characteristic is expressed asWherein->And->First and t-th sequence units representing a second operational feature, respectively,/for each of the first and t-th sequence units>Wherein->And->Respectively representing a first operation parameter and a fourth operation parameter of the charging module acquired for the t time in a control time period;
the third operating characteristic is expressed asWherein->And->First and t-th sequence units respectively representing a third operational characteristic; />Wherein->And->Representing the first and third operating parameters of the refrigeration module, respectively, acquired a t-th time during a control period.
In one embodiment of the invention, the control parameter generation model comprises: the input layer inputs the first operation feature, the second operation feature and the third operation feature, the first operation feature, the second operation feature and the third operation feature are spliced to obtain the input feature, the input feature is input to the first hidden layer, the first hidden layer outputs the update feature to the first output layer, the first output layer comprises two full-connection layers, the two full-connection layers respectively input the update feature, and the target value of the output power of the charging module and the target value of the output power of the refrigerating module are respectively output.
Input features are represented asWherein->And->First and t-th sequence units respectively representing input features; />The method comprises the step of splicing the t-th sequence units of the first operation characteristic, the second operation characteristic and the third operation characteristic.
In one embodiment of the present invention, the first hidden layer includes t LSTM units connected in series, and t sequential units of the input feature are respectively input to the t LSTM units;
the operation process of the t LSTM unit is as follows: forgetting door of t-th LSTM unitThe calculation formula of (2) is as follows:。
input gate of the t-th LSTM unitThe calculation formula of (2) is as follows: />。
Intermediate state of the t-th LSTM cellThe calculation formula of (2) is as follows: />。
Output state of the t-th LSTM cellThe calculation formula of (2) is as follows: />。
Output gate of the t-th LSTM unitThe calculation formula of (2) is as follows: />。
Output of the t-th LSTM cellThe calculation formula of (2) is as follows: />。
Definition of the definition，/>，/>T sequence units representing input features, +.>Represents the output of the t-1 th LSTM cell,>indicating the output state of the t-1 th LSTM cell,>representing a first weight parameter,/->Second weight parameter->Representing the first bias parameter, ">Representing a third weight parameter, ++>Representing the fourth weight parameter,/->Representing a second bias parameter, ">Representing a fifth weight parameter,/->Representing a sixth weight parameter,/->Representing a third bias parameter, ">Representing point-wise multiplication->Representing a seventh weight parameter,/->Representing the eighth rightHeavy parameter (I)>Representing the fourth bias parameter, +.>Representing sigmoid function->Representing a hyperbolic tangent function.
In one embodiment of the present invention, in order to ensure that the target value of the output power of the charging module and the target value of the output power of the cooling module generated by the control parameter generation model can achieve good temperature control and the charging speed is maximized after being applied, a true value of a training sample for training is obtained by the following manner;
constructing an analog simulation system to simulate the charging process of the wireless charger;
inputting the collected operation parameters of the storage battery module, the charging module and the refrigerating module of the wireless charger into an analog simulation system, and randomly generating or manually setting experimental values of the output power of a plurality of groups of charging modules and experimental values of the output power of the refrigerating module according to the following generation conditions;
the generation conditions include: the experimental value of the output power of the charging module and the experimental value of the output power of the refrigerating module are both greater than or equal to 0;
the sum of the experimental value of the output power of the charging module and the experimental value of the output power of the refrigerating module does not exceed the maximum power provided by the storage battery module in the next control time period.
That is, it is necessary to ensure that the battery module can provide a power greater than the sum of the experimental value of the output power of the charging module and the experimental value of the output power of the cooling module in the next control period.
After the experimental values of the output power of the plurality of groups of charging modules and the experimental values of the output power of the refrigerating module are input, checking the simulation result, and only keeping the experimental values of the output power of the charging modules and the experimental values of the output power of the refrigerating module when the temperature of the storage battery module does not exceed a set temperature threshold value in a control time period;
and then continuously calculating the output electric quantity of the charging module in the control time period, and selecting the experimental value of the output power of the charging module with the largest output electric quantity and the experimental value of the output power of the refrigerating module from the experimental values as the true value of the output power of the charging module and the true value of the output power of the refrigerating module corresponding to the input operation parameters.
The input operation parameters of the storage battery module, the charging module and the refrigerating module of the wireless charger are a training sample, and are derived from the history record of the wireless charger; one training sample corresponds to only the true value of the output power of a set of charging modules and the true value of the output power of the cooling module.
In one embodiment of the present invention, the generating conditions further include: the change rate of the output power of the charging module is smaller than a set proportional threshold. The default value for the ratio threshold is 0.3.
The change rate of the output power of the charging module is controlled to control the change amplitude of the output power of the charging module in two adjacent control time periods, so that the stability of the charging voltage is better maintained.
The change rate of the output power of the charging module is calculated, and the calculation formula of the change rate of the output power of the charging module is as follows:。
wherein the method comprises the steps ofFor the rate of change of the output power of the charging module, < + >>Is an experimental value of the output power of the charging module,is the output power of the charging module which is the input operation parameter of the analog simulation system.
In the process of training the control parameter generation model, the difference between the target value of the output power of the charging module and the true value of the output power of the charging module, which are output by the control parameter generation model, is calculated, the difference between the target value of the output power of the refrigerating module and the true value of the output power of the refrigerating module, which are output by the control parameter generation model, is calculated, and the sum of the two difference values is used as a parameter to generate a model loss value.
The embodiment has been described above with reference to the embodiment, but the embodiment is not limited to the above-described specific implementation, which is only illustrative and not restrictive, and many forms can be made by those of ordinary skill in the art, given the benefit of this disclosure, are within the scope of this embodiment.
Claims (6)
1. The wireless charging regulation and control method with the refrigeration function is characterized by comprising the following steps of:
step S101, collecting operation parameters of a storage battery module, a charging module and a refrigerating module of a wireless charger;
step S102, extracting operation parameters acquired in the previous control time period;
step S103, respectively generating a first operation feature, a second operation feature and a third operation feature based on the extracted operation parameters of the storage battery module, the charging module and the refrigerating module of the wireless charger;
step S104, inputting the first operation feature, the second operation feature and the third operation feature into a control parameter generation model, wherein the control parameter generation model generates control parameters of the next control time period, and the control parameters comprise a target value of the output power of the charging module and a target value of the output power of the refrigerating module;
the control parameter generation model includes: the input layer inputs the first operation feature, the second operation feature and the third operation feature, splices the first operation feature, the second operation feature and the third operation feature to obtain an input feature, inputs the input feature into the first hidden layer, outputs an update feature to the first output layer, and comprises two full-connection layers, wherein the two full-connection layers respectively input the update feature and respectively output a target value of the output power of the charging module and a target value of the output power of the refrigerating module;
input features are represented asWherein->And->First and t-th sequence units respectively representing input features; />The method comprises the steps of splicing a t-th sequence unit of a first operation feature, a second operation feature and a third operation feature; the first hidden layer comprises t LSTM units connected in series, and t sequence units of the input features are respectively input into the t LSTM units;
the method for obtaining true values of training samples for training a control parameter generation model includes:
constructing an analog simulation system to simulate the charging process of the wireless charger;
inputting the collected operation parameters of the storage battery module, the charging module and the refrigerating module of the wireless charger into an analog simulation system, and randomly generating or manually setting experimental values of the output power of a plurality of groups of charging modules and experimental values of the output power of the refrigerating module according to the following generation conditions;
the generation conditions include: the experimental value of the output power of the charging module and the experimental value of the output power of the refrigerating module are both greater than or equal to 0;
the sum of the experimental value of the output power of the charging module and the experimental value of the output power of the refrigerating module does not exceed the maximum power provided by the storage battery module in the next control time period;
after the experimental values of the output power of the plurality of groups of charging modules and the experimental values of the output power of the refrigerating module are input, checking the simulation result, and only keeping the experimental values of the output power of the charging modules and the experimental values of the output power of the refrigerating module when the temperature of the storage battery module does not exceed a set temperature threshold value in a control time period;
then continuously calculating the output electric quantity of the charging module in the control time period, and selecting the experimental value of the output power of the charging module with the largest output electric quantity and the experimental value of the output power of the refrigerating module from the experimental values as the true value of the output power of the charging module and the true value of the output power of the refrigerating module corresponding to the input operation parameters;
calculating a difference between a target value of the output power of the charging module and a true value of the output power of the charging module, which are output by the control parameter generation model, and a difference between the target value of the output power of the refrigerating module and the true value of the output power of the refrigerating module, which are output by the control parameter generation model, wherein the sum of the two differences is used as a parameter generation model loss value;
step S105, adjusting the output power of the charging module to reach the target value of the output power of the charging module, and adjusting the output power of the cooling module to reach the target value of the output power of the cooling module.
2. The wireless charging regulation method with a refrigerating function according to claim 1, wherein a buffer period exists between two adjacent control periods, and the length of the buffer period is smaller than the control period.
3. The method of claim 1, wherein the adjusting the output power of the charging module and the output power of the cooling module is controlled by a power controller of the wireless charger.
4. The wireless charging regulation method with a cooling function according to claim 1, wherein the operation parameters of the battery module include: maximum charge capacity of the battery module, residual capacity of the battery module, output power of the battery module, output voltage of the battery module, output current of the battery module, and temperature of the battery module;
the operating parameters of the charging module include: the output power of the charging module, the output voltage of the charging module, the output current of the charging module and the temperature of the charging module;
the operating parameters of the refrigeration module include: output power of the refrigeration module, output voltage of the refrigeration module and output current of the refrigeration module.
5. The method of claim 4, wherein the first operating characteristic is represented asWherein->And->A first and a t-th sequence element representing a first operational characteristic respectively,wherein->And->Respectively representing a first and a sixth operating parameter of the battery module acquired for the t-th time in a control period;
the second operating characteristic is expressed asWherein->And->First and t-th sequence units representing a second operational feature, respectively,/for each of the first and t-th sequence units>Wherein->And->Respectively representing a first operation parameter and a fourth operation parameter of the charging module acquired for the t time in a control time period;
the third operating characteristic is expressed asWherein->And->First and t-th sequence units respectively representing a third operational characteristic; />Wherein->And->Representing the first and third operating parameters of the refrigeration module, respectively, acquired a t-th time during a control period.
6. The wireless charging regulation and control method with a refrigerating function according to claim 1, wherein the operation process of the t-th LSTM unit is as follows:
forgetting door of t-th LSTM unitThe calculation formula of (2) is as follows:
；
input gate of the t-th LSTM unitThe calculation formula of (2) is as follows:
；
intermediate state of the t-th LSTM cellThe calculation formula of (2) is as follows:
；
output state of the t-th LSTM cellThe calculation formula of (2) is as follows:
；
output gate of the t-th LSTM unitThe calculation formula of (2) is as follows:
；
output of the t-th LSTM cellThe calculation formula of (1) is as followsThe following steps:
；
definition of the definition，/>，/>T sequence units representing input features, +.>Represents the output of the t-1 th LSTM cell,>indicating the output state of the t-1 th LSTM cell,>representing a first weight parameter,/->Second weight parameter->Representing the first bias parameter, ">Representing a third weight parameter, ++>Representing the fourth weight parameter,/->A second bias parameter is indicated and is indicated,representing a fifth weight parameter,/->Representing a sixth weight parameter,/->Representing a third bias parameter, ">Representing a point-by-point multiplication,representing a seventh weight parameter,/->Represents an eighth weight parameter,>representing the fourth bias parameter, +.>Representing sigmoid function->Representing a hyperbolic tangent function.
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