CN116160914A - Method, device, equipment and storage medium for updating full capacity of automobile battery - Google Patents
Method, device, equipment and storage medium for updating full capacity of automobile battery Download PDFInfo
- Publication number
- CN116160914A CN116160914A CN202310263137.5A CN202310263137A CN116160914A CN 116160914 A CN116160914 A CN 116160914A CN 202310263137 A CN202310263137 A CN 202310263137A CN 116160914 A CN116160914 A CN 116160914A
- Authority
- CN
- China
- Prior art keywords
- full
- value
- current
- capacity
- automobile
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
- 238000000034 method Methods 0.000 title claims abstract description 44
- 230000036541 health Effects 0.000 claims abstract description 44
- 230000008569 process Effects 0.000 claims description 17
- 238000004364 calculation method Methods 0.000 claims description 12
- 238000004590 computer program Methods 0.000 claims description 8
- 238000012549 training Methods 0.000 claims description 8
- 230000005611 electricity Effects 0.000 abstract description 6
- SAZUGELZHZOXHB-UHFFFAOYSA-N acecarbromal Chemical compound CCC(Br)(CC)C(=O)NC(=O)NC(C)=O SAZUGELZHZOXHB-UHFFFAOYSA-N 0.000 abstract 2
- 238000002474 experimental method Methods 0.000 description 6
- 230000006870 function Effects 0.000 description 6
- 230000003068 static effect Effects 0.000 description 6
- 238000010586 diagram Methods 0.000 description 5
- 238000012545 processing Methods 0.000 description 5
- 210000004027 cell Anatomy 0.000 description 4
- 238000013527 convolutional neural network Methods 0.000 description 3
- 238000004891 communication Methods 0.000 description 2
- 238000005259 measurement Methods 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 238000010606 normalization Methods 0.000 description 2
- 230000008859 change Effects 0.000 description 1
- 238000005516 engineering process Methods 0.000 description 1
- 210000002569 neuron Anatomy 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/545—Temperature
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/547—Voltage
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Landscapes
- Engineering & Computer Science (AREA)
- Life Sciences & Earth Sciences (AREA)
- Sustainable Development (AREA)
- Sustainable Energy (AREA)
- Power Engineering (AREA)
- Transportation (AREA)
- Mechanical Engineering (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
Abstract
The utility model provides a full electric capacity updating method, device, equipment and storage medium of car battery, through obtaining current battery temperature value, current open circuit voltage value and current full electricity reference capacity value of car, confirm current battery health according to current battery temperature value and current open circuit voltage value, calculate target full electric capacity value according to current battery health and current full electricity reference capacity value, and update the actual full electric capacity of car based on target full electric capacity value, because when estimating the actual full electric capacity of car, fully consider the influence of battery temperature and open circuit voltage value to battery health, so the degree of accuracy of estimating the actual full electric capacity of car based on this battery health is higher.
Description
Technical Field
The present disclosure relates to the field of automotive battery technologies, and in particular, to a method, an apparatus, a device, and a storage medium for updating full capacity of an automotive battery.
Background
In recent years, electric vehicles are rapidly developing. The power battery is a power source of the electric automobile, so that effective management of the battery is particularly important. The inaccuracy of the range displayed by the large-screen meter seriously affects the use experience of a user, and the inaccuracy of the range display is related to the fact that the automobile cannot accurately estimate the full capacity of the automobile. At present, the automobile is provided with a full capacity when leaving the factory, the automobile is always estimated to the endurance mileage based on the full capacity set when leaving the factory in the process of being used by a user, and the influence of factors such as the loss of a battery, the temperature of the battery and the like on the full capacity in the process of being used by the automobile is not considered, namely, the actual full capacity of the automobile is not updated in the current scheme.
Disclosure of Invention
An objective of the embodiments of the present application is to provide a method, an apparatus, a device, and a storage medium for updating full capacity of an automobile battery, so as to solve the above technical problems.
In one aspect, a method for updating full capacity of an automobile battery is provided, including:
acquiring a current battery temperature value, a current open-circuit voltage value and a current full-charge reference capacity value of an automobile;
determining a current battery health according to the current battery temperature value and the current open-circuit voltage value;
and calculating a target full capacity value according to the current battery health and the current full power reference capacity value, and updating the actual full capacity of the automobile based on the target full capacity value.
In one embodiment, the determining the current battery health from the current battery temperature value and the current open circuit voltage value comprises:
inputting the current battery temperature and the current battery open-circuit voltage value into a preset target prediction model to obtain the current battery health; the target prediction model is a model obtained by training an initial prediction model by adopting a sample data set, wherein the sample data set comprises a plurality of data sets, and each data set consists of historical battery health, historical battery temperature and historical battery open-circuit voltage values.
In one embodiment, the updating the actual full capacity of the vehicle based on the target full capacity value includes:
acquiring the current full-power standing time length of the automobile; the current full-power standing time length is the time length between the switching from the power-down state to the power-up state after the automobile is fully charged for the last time;
and updating the actual full capacity of the automobile based on the target full capacity value when the automobile is determined to meet the preset full capacity updating condition based on the current full-power standing time.
In one embodiment, when the vehicle meets the preset full capacity updating condition based on the current full power rest time, updating the actual full capacity of the vehicle based on the target full capacity value includes:
if the full-power standing time length is greater than a preset time length threshold, updating the current full-power standing times of the automobile, and acquiring an absolute value between the target full-power capacitance value and the full-power reference capacitance value; the full-power standing times are the occurrence times of target full-power standing events, and the target full-power standing events are events when the standing time length between the switching of the power-down state and the power-up state of the automobile is larger than the preset duration threshold after the automobile is fully charged;
and if the absolute value is larger than a preset full capacitance threshold, acquiring a first full capacitance value, updating the actual full capacitance of the automobile based on the first full capacitance value, resetting the full-electricity standing times to 0, wherein the first full capacitance value is the target full capacitance value.
In one embodiment, if the absolute value is less than or equal to the preset full-charge capacity threshold, the current full-charge standing times of the automobile are obtained, and the current full-charge standing times of the automobile are compared with a preset full-charge standing times threshold;
if the current full-power standing times of the automobile is larger than the preset standing times threshold, a second full-capacity value is obtained, the actual full-capacity of the automobile is updated based on the second full-capacity value, the current full-power standing times of the automobile are reset to 0, and the second full-capacity value is an average value of target full-capacity values generated in multiple charging.
In one embodiment, the obtaining the current full power reference capacity value of the automobile includes:
acquiring an SOC value of the automobile before the last charge, a full capacity basic value, a current value of a battery of the automobile in the last charge process and a charge duration of the battery after full charge; determining a current full-charge reference capacity value of the automobile according to the SOC value, the full-charge basic value, the current value and the charging duration; the full capacity basic value is one of an initial full capacity value, a full power reference capacity value obtained by the last calculation and an actual full capacity value obtained by the last calculation;
or alternatively, the first and second heat exchangers may be,
taking the initial full capacity value of the automobile as the current full power reference capacity value of the automobile
In one embodiment, the calculating a target full capacity value from the current battery health and the current full reference capacity value includes:
and taking the product of the full power reference capacity value and the current battery health as the target full capacity value.
In another aspect, there is provided an apparatus for updating full capacity of an automotive battery, comprising:
the acquisition module is used for acquiring the current battery temperature value, the current open-circuit voltage value and the current full-charge reference capacity value of the automobile;
the determining module is used for determining the current battery health according to the current battery temperature value and the current open-circuit voltage value;
and the calculation updating module is used for calculating a target full capacity value according to the current battery health and the current full power reference capacity value and updating the actual full capacity of the automobile based on the target full capacity value.
In another aspect, an electronic device is provided that includes a processor and a memory having a computer program stored therein, the processor executing the computer program to implement any one of the methods described above.
In another aspect, a computer-readable storage medium is provided, storing a computer program that, when executed by at least one processor, performs any of the methods described above.
According to the method, the device, the equipment and the storage medium for updating the full capacity of the automobile battery, the current battery temperature value, the current open-circuit voltage value and the current full-capacity reference capacity value of the automobile are obtained, the current battery health is determined according to the current battery temperature value and the current open-circuit voltage value, the target full-capacity value is calculated according to the current battery health and the current full-capacity reference capacity value, and the actual full capacity of the automobile is updated based on the target full-capacity value.
Drawings
Fig. 1 is a flow chart of a full capacity updating method of an automotive battery according to an embodiment of the present disclosure;
FIG. 2 is a graph showing the correspondence between measured battery temperature, SOH and open-circuit voltage values in a full-power state according to the first embodiment of the present disclosure;
FIG. 3 is a schematic diagram of a first process for updating the full capacity of an automotive battery according to an embodiment of the present disclosure;
FIG. 4 is a schematic diagram of a second process for updating the full capacity of an automotive battery according to an embodiment of the present disclosure;
FIG. 5 is a schematic diagram of a third flow chart for updating full capacity of an automobile battery according to an embodiment of the present disclosure;
fig. 6 is a flow chart of a full capacity updating method of an automotive battery according to a second embodiment of the present disclosure;
fig. 7 is a schematic structural diagram of an apparatus for updating full capacity of an automotive battery according to a third embodiment of the present disclosure;
fig. 8 is a schematic structural diagram of an electronic device according to a fourth embodiment of the present application.
Detailed Description
In order to make the objects, technical solutions and advantages of the present application more apparent, the present application will be further described in detail with reference to the accompanying drawings and examples. It should be understood that the specific embodiments described herein are for purposes of illustration only and are not intended to limit the present application.
Embodiment one:
the embodiment of the application provides a full capacity updating method of an automobile battery, which can be applied to electronic equipment, wherein the electronic equipment can be arranged on an automobile, and specifically please refer to fig. 1, and the method comprises the following steps:
s11: and acquiring a current battery temperature value, a current open-circuit voltage value and a current full-power reference capacity value of the automobile.
S12: and determining the current battery health according to the current battery temperature value and the current open-circuit voltage value.
S13: and calculating a target full capacity value according to the current battery health and the current full power reference capacity value, and updating the full capacity of the automobile based on the target full capacity value.
Next, a specific procedure of the above steps will be described in detail.
The electronic device can periodically monitor and record the battery temperature and the battery open-circuit voltage value of the automobile. Thus, the automobile can acquire the latest current battery temperature value and the current battery open-circuit voltage value recorded according to the requirement.
For step S12, the current battery temperature value and the current battery open-circuit voltage value may be input into a preset target prediction model to obtain the current battery health of the automobile battery.
The target prediction model in the embodiment of the application may be a model obtained by training an initial prediction model by using a sample data set. Wherein the sample dataset comprises a plurality of data sets, each data set comprising a historical battery health, a historical battery temperature, and a historical battery open circuit voltage value.
The battery health degree directly influences the capacity of the battery, the battery temperature influences the open-circuit voltage value, and the battery temperature and the open-circuit voltage value directly influence the battery health degree, so that the relation among the battery temperature, the battery open-circuit voltage and the battery health degree in the full-power state can be constructed in advance in the embodiment of the application.
Firstly, the historical battery health, the historical battery temperature and the historical battery open-circuit voltage value under the condition of full battery power can be obtained through experiments. For example, the change in open circuit voltage of a battery with temperature and health at full power can be measured. Referring to fig. 2, fig. 2 shows an open circuit voltage value when the battery temperature is measured to be-40-50 ℃ (a measurement point can be set at each interval of 5 ℃), and the battery health SOH is measured to be 0.8-1 (a measurement point can be set at each interval of 0.02).
It should be noted that, in some embodiments, the plurality of sets of the battery health, the battery temperature value, and the battery open circuit voltage value measured through the experiment may be directly used as the sample data set for training. In other embodiments, the battery temperature value, the battery open-circuit voltage value and the battery health degree which are measured through experiments can be respectively normalized, and the battery temperature, the battery open-circuit voltage value and the battery health degree after normalization are used as the historical battery temperature, the historical battery open-circuit voltage value and the historical battery health degree to carry out model training.
Illustratively, the experimentally measured data may be normalized as follows:
storing the battery temperature value and the battery open-circuit voltage value which are measured through experiments into a database; and carrying out normalization processing on each battery temperature value and each battery open-circuit voltage value which are measured through experiments according to the mode. I.e. for a parameter to be processed, the difference between it and the minimum value of the parameter in the database is divided by the difference between the maximum and minimum values of the parameter in the database.
Wherein, T' is the normalized battery temperature value, T is the battery temperature value measured by experiment, min (q) is the minimum value of the battery temperature in the database, and Max (T) is the maximum value of the battery temperature in the database; OCV' is the normalized open cell voltage, OCV is the experimentally measured open cell voltage, min (OCV) is the minimum open cell voltage in the database, and Max (OCV) is the maximum open cell voltage in the database.
It should be noted that, the initial prediction model in the embodiment of the present application may be a convolutional neural network model. The convolutional neural network model comprises an input layer, a convolutional layer, a full-connection layer and an output layer which are sequentially connected, and in the training process, the initial state-of-charge value prediction model is trained by adopting a sample data set, and the convolutional neural network model comprises the following components:
the sample data set is input into an input layer, the convolution layer is subjected to convolution processing, and the sample data set after the convolution processing is input into a full-connection layer and is output by an output layer;
and adjusting the weight of each neuron in the full-connection layer through the cross entropy loss function until a preset convergence condition is met, and stopping training to obtain a target prediction model.
The preset convergence condition in the embodiment of the application can be flexibly set by a developer. For example, the training times may reach a preset time threshold, or the output of the loss function may be within a preset loss threshold.
It should be noted that the initial prediction model in the embodiments of the present application may also be other models, such as a binary formula model SOH cal =f (T ', OCV'), fitting based on experimentally measured history data, to obtain a target prediction model, and the target prediction model thus obtained is also a binary formula model. Inputting the current battery temperature value and the current open-circuit voltage value obtained in the step S11 into the binary formula model to obtain the current battery health degree SOH cal 。
In the embodiment of the application, the product of the current full-power reference capacity value and the current battery health can be taken as a target full-capacity value. The manner in which the current full reference capacity value is obtained is described below.
In a first alternative embodiment, the current full-power reference capacity value may be the initial full-capacity value C of the vehicle 0 That is to say, the initial full capacity value C of the vehicle is directly calculated 0 As a current full-charge reference capacity value of the automobile, this initial full-charge value refers to a full-charge value preset by a developer when the automobile leaves the factory. At this time, the initial full capacitance value C 0 SOH with current battery health cal Is the product of (C) as the target full capacitance value C cal Namely: c (C) cal ＝C 0 *SOH cal 。
In other embodiments, the SOC value of the vehicle before the last charge, the full capacity base value, the current value of the battery of the vehicle during the last charge, and the charge duration of the full charge of the battery may be obtained; determining the current full-charge reference capacity value of the automobile according to the battery SOC value, the full-charge basic value, the current value and the charging duration; the full capacity base value is one of an initial full capacity value, a full power reference capacity value obtained by the last calculation and an actual full capacity value obtained by the last calculation. The following is a specific description:
in a second alternative embodiment, the current full-charge reference capacity value of the vehicle can be obtained by:
acquiring an SOC value of an automobile before the last charge, an initial full capacitance value, a current value of a battery of the automobile in the last charge process and a charge time of the battery fully charged;
and determining a full-power reference capacity value of the automobile according to the battery SOC value, the initial full-capacity value, the current value and the charging duration.
Specifically, it can be according to the formula
Calculating a full charge reference capacity value of the vehicle, wherein SOC 0 Representing the SOC value of the automobile before the last charge, I (t) representing the function of the current value of the battery of the automobile in the last charge process with respect to time, t representing the charge duration, C sim The current full power reference capacity value of the automobile is represented, and thus, in the present embodiment, the full power reference capacity value of the automobile is constantly changing.
In a third alternative embodiment, the current full electricity reference capacity value of the car can be obtained by:
acquiring an SOC value of an automobile before the last charge, a full capacity reference value of the last charge, a current value of a battery of the automobile in the last charge process and a charge time of the full charge of the battery;
and determining the full-charge reference capacity value of the automobile according to the battery SOC value, the last full-charge reference value, the current value and the charging duration.
Specifically, it can be according to the formula
Calculating a full charge reference capacity value of the vehicle, wherein SOC 0 Representing the SOC value of the automobile before the last charge, I (t) representing the function of the current value of the battery of the automobile in the last charge process with respect to time, t representing the charge duration, C sim Indicating the current full power of the vehicleReference volume value, C' sim Representing the full capacitance reference value calculated last time. It should be noted that, in the present embodiment, when the calculation of the full capacitance reference value is performed for the first time, C' sim The initial full capacitance value may be taken.
In a fourth alternative embodiment, the current full electricity reference capacity value of the car can be obtained by:
acquiring an SOC value of an automobile before the last charge, an actual full capacitance value of the last charge, a current value of a battery of the automobile in the last charge process and a charge time of the full charge of the battery;
and determining the full-charge reference capacity value of the automobile according to the battery SOC value, the last actual full-capacity value, the current value and the charging duration.
Specifically, it can be according to the formula
Calculating a full charge reference capacity value of the vehicle, wherein SOC 0 Representing the SOC value of the automobile before the last charge, I (t) representing the function of the current value of the battery of the automobile in the last charge process with respect to time, t representing the charge duration, C sim Representing the current full charge reference capacity value of the automobile, C t ' represents the actual full capacitance value calculated last time. It should be noted that, in the present embodiment, when the calculation of the full capacitance reference value is performed for the first time, C' t The initial full capacitance value may be taken.
In the second, third and fourth embodiments described above, the currently calculated full-electricity reference capacity value C can also be used sim SOH with current battery health cal Is the product of (C) as the target full capacitance value C cal Namely: c (C) cal ＝C sim *SOH cal 。
The full-power reference capacity value is simply a reference value of the full-power capacity of the automobile and is usually not the same as the actual full-power capacity of the automobile. In step S13, updating the full capacity of the vehicle based on the target full capacity value means updating the actual full capacity of the vehicle based on the target full capacity value. And then, when the endurance mileage of the automobile is estimated or other strategies are recommended by combining the full capacity of the automobile, the actual full capacity of the automobile can be calculated or recommended.
For step S13, please refer to fig. 3, the following sub-steps may be included:
s131: and obtaining the current full-power standing time length of the automobile.
The current full-charge standing time length of the automobile is the time length between the switching of the power-down state and the power-up state after the automobile is fully charged for the last time.
S132: and updating the actual full capacity of the automobile based on the target full capacity value when the automobile is determined to meet the preset full capacity updating condition based on the current full-power standing time.
The full capacity update condition may be flexibly set by the developer, and in an alternative embodiment, for sub-step S132, please refer to fig. 4, the following sub-steps may be included:
s1320: if the full-power static time length is greater than the preset time length threshold, updating the current full-power static times of the automobile, and acquiring an absolute value between the target full-power capacitance value and the full-power reference capacitance value.
The full-power static time is the occurrence time of a target full-power static event, and the target full-power static event is an event that the static time length between the switching of the power-down state and the power-up state of the automobile is larger than a preset time length threshold value after the automobile is fully charged.
S1322: and if the absolute value is larger than the preset full capacity threshold value, acquiring a first full capacity value, updating the actual full capacity of the automobile based on the first full capacity value, resetting the full-power standing times to 0, and enabling the first full capacity value to be the target full capacity value.
In this embodiment, when the current full-power rest time period is longer than the preset time period threshold and the absolute value between the target full-capacity value and the full-power reference capacity value is greater than the preset full-capacity threshold, it is determined that the vehicle meets the preset full-capacity updating condition, otherwise, it may be determined that the vehicle does not currently meet the preset full-capacity updating condition, the actual full-capacity of the vehicle battery is not updated, that is, the actual full-capacity value currently recorded by the vehicle is still the actual full-capacity value recorded before.
For sub-step S132, please refer to fig. 5, after sub-step S1320, the following sub-steps may be further included:
s1321: if the absolute value is smaller than or equal to the preset full-charge capacity threshold value, the current full-charge standing times of the automobile are obtained, and the current full-charge standing times of the automobile are compared with the preset full-charge standing times threshold value.
S1323: if the current full-power standing times of the automobile is greater than or equal to a preset full-power standing times threshold value, acquiring a second full-capacity value, updating the actual full-capacity of the automobile based on the second full-capacity value, and resetting the current full-power standing times of the automobile to 0; the second full capacitance value is an average of target full capacitance values generated in the plurality of charges.
It should be noted that "multiple times" in step S1323 refers to the number of times of the current full power rest of the automobile, that is, the number of times of occurrence of the target full power rest event currently recorded by the automobile.
If it is determined that the current full-power standing time of the vehicle is less than the preset full-power standing time threshold after step S1321, the actual full-power capacity of the vehicle battery may not be updated, that is, the actual full-power capacity currently recorded by the vehicle is still the actual full-power capacity recorded previously.
It should be noted that, the electronic device may record the number of times of full-power standing, and after the automobile is fully charged for the first time, if it is determined that the automobile is switched from the power-down state to the power-up state, and it is determined that the corresponding full-power standing time period is greater than the preset duration threshold, the number of times of full-power standing is set to 1. Every time the automobile is monitored to be full of electricity once, the automobile is switched from a power-down state to a power-up state, when the corresponding full-electricity standing time period is determined to be longer than a preset time period threshold value, the full-electricity standing time +1 is used as the current full-electricity standing time of the automobile on the basis of the recorded full-electricity standing time, and after the actual full-electricity capacity of the automobile is monitored to be updated, the full-electricity standing time of the automobile is reset to 0.
Finally, it should be further noted that, in the embodiment of the present application, the preset duration threshold, the preset full capacity threshold, and the preset full power standing time threshold may be set by a developer according to a user requirement, or may be customized by a user. For example, the preset duration threshold may be set to 2h, 2.5h, 3h, 3.5h, etc., the preset full capacitance threshold may be set to 0.5, 0.6, 0.8, etc., and the preset number of rest thresholds may be set to 4, 5, 6, etc.
It should be understood that, although the steps in the above-described flowcharts are shown in order as indicated by the arrows, these steps are not necessarily performed in order as indicated by the arrows. The steps are not strictly limited to the order of execution unless explicitly recited herein, and the steps may be executed in other orders. Moreover, at least some of the steps in the flowcharts described above may include a plurality of sub-steps or stages that are not necessarily performed at the same time, but may be performed at different times, and the order of execution of the sub-steps or stages is not necessarily sequential, but may be performed alternately or alternately with at least a part of the sub-steps or stages of other steps or other steps.
Embodiment two:
in order to better understand the solution provided in the present application, the embodiments of the present application provide a more specific method for updating the full capacity of an automobile battery based on the above embodiments, please refer to fig. 6, which includes:
s601: reading the state of the automobile, the current full-power standing time period T', the battery temperature T, the battery open-circuit voltage value OCV and the initial full-power capacity C 0 And the current full-power standing times N of the automobile.
Assuming that the preset duration threshold is 2h, the preset rest time threshold is 5, and the preset full capacity threshold is 0.5 in the embodiment of the present application, it should be understood that the setting manner in the embodiment of the present application does not constitute limitation of the preset duration threshold, the preset full power rest time threshold, and the preset full capacity threshold, and in other embodiments, the preset duration threshold, the preset full capacity threshold, and the preset rest time threshold may be other values.
S602: whether the car is currently being charged or not is judged, if yes, the process goes to S603, if no, the process goes to S614.
S603: acquiring state of charge (SOC) of battery before charging 0 。
S604, judging whether t' >2h is true, if yes, turning to S605, if no, turning to S614.
S605: and updating the current full-power standing times N of the automobile to be N+1.
S606: calculating full-power reference capacity value C sim And a target full capacitance value C cal 。
Calculating full-power reference capacity value C sim And a target full capacitance value C cal Reference may be made to the details of the foregoing embodiments, and details are not repeated herein.
S607: judging full electricity reference capacity value C sim And a target full capacitance value C cal If the absolute value is greater than 0.5, the process goes to S608, if not, the process goes to S610.
S608: the current calculated target full capacitance value C cal As the current actual full capacity of the car.
S609: the number of times of full power rest of the automobile was reset to 0.
S610: storing the calculated target full capacitance value C cal 。
S611: and judging whether the current full-power standing times of the automobile are greater than or equal to 5, if so, turning to S612, if not, turning to S614.
S612: the target full capacitance value C obtained by current N times of calculation cal As the current actual full capacity of the car.
S613: the number of times of full power rest of the automobile was reset to 0.
S614: the actual full capacity of the car is not updated.
Embodiment III:
based on the same inventive concept, the embodiments of the present application provide an apparatus for updating full capacity of an automobile battery, referring to fig. 7, it should be understood that the functions of the apparatus for updating full capacity of an automobile battery may be referred to the above description, and detailed descriptions thereof are omitted herein as appropriate to avoid redundancy.
The full battery capacity updating device of the automobile comprises at least one software functional unit which can be stored in a memory in the form of software or firmware or solidified in the operating system of the device. Specifically, the full capacity updating device of the automobile battery comprises:
an obtaining module 701, configured to obtain a current battery temperature value, a current open-circuit voltage value, and a current full-charge reference capacity value of an automobile;
a determining module 702, configured to determine a current battery health according to a current battery temperature value and a current open circuit voltage value;
the calculation updating module 703 is configured to calculate a target full capacity value according to the current battery health and the current full power reference capacity value, and update the actual full capacity of the automobile based on the target full capacity value.
It should be noted that, for simplicity of description, the content described in the above embodiment is not repeated in this embodiment.
Embodiment four:
the present embodiment provides an electronic device, which may be integrally provided on an automobile, as shown in fig. 8, where the electronic device includes a processor 801 and a memory 802, a computer program is stored in the memory 802, the processor 801 and the memory 802 implement communications through a communication bus, and the processor 801 executes the computer program to implement each step of the method in the above embodiment, which is not described herein again. It will be appreciated that the configuration shown in fig. 8 is merely illustrative, and that the terminal may also include more or fewer components than shown in fig. 8, or have a different configuration than shown in fig. 8. It should be noted that the electronic device in the embodiment of the present application may be provided on an automobile.
The processor 801 may be an integrated circuit chip with signal processing capabilities. The processor 801 may be a general-purpose processor including a Central Processing Unit (CPU), a Network Processor (NP), and the like; but may also be a Digital Signal Processor (DSP), application Specific Integrated Circuit (ASIC), an off-the-shelf programmable gate array (FPGA) or other programmable logic device, discrete gate or transistor logic device, discrete hardware components. Which may implement or perform the various methods, steps, and logical blocks disclosed in embodiments of the present application. A general purpose processor may be a microprocessor or the processor may be any conventional processor or the like.
Memory 802 may include, but is not limited to, random Access Memory (RAM), read Only Memory (ROM), programmable Read Only Memory (PROM), erasable read only memory (EPROM), electrically erasable read only memory (EEPROM), and the like.
The present embodiment also provides a computer readable storage medium, such as a floppy disk, an optical disk, a hard disk, a flash memory, a usb disk, an SD card, an MMC card, etc., in which one or more programs for implementing the above steps are stored, and the one or more programs may be executed by the one or more processors 801 to implement the steps of the method in the above embodiments, which is not described herein again.
It should be noted that, the illustrations provided in the present embodiment merely illustrate the basic concept of the present invention by way of illustration, and only the components related to the present invention are shown in the drawings and are not drawn according to the number, shape and size of the components in actual implementation, and the form, number and proportion of the components in actual implementation may be arbitrarily changed, and the layout of the components may be more complex. The structures, proportions, sizes, etc. shown in the drawings attached hereto are for illustration purposes only and are not intended to limit the scope of the invention, which is defined by the claims, but rather by the claims. Also, the terms such as "upper," "lower," "left," "right," "middle," and "a" and the like recited in the present specification are merely for descriptive purposes and are not intended to limit the scope of the invention, but are intended to provide relative positional changes or modifications without materially altering the technical context in which the invention may be practiced.
The technical features of the above embodiments may be arbitrarily combined, and all possible combinations of the technical features in the above embodiments are not described for brevity of description, however, as long as there is no contradiction between the combinations of the technical features, they should be considered as the scope of the description.
The above examples merely represent a few embodiments of the present application, which are described in more detail and are not to be construed as limiting the scope of the invention. It should be noted that it would be apparent to those skilled in the art that various modifications and improvements could be made without departing from the spirit of the present application, which would be within the scope of the present application. Accordingly, the scope of protection of the present application is to be determined by the claims appended hereto.
Claims (10)
1. A method for updating full capacity of an automotive battery, comprising:
acquiring a current battery temperature value, a current open-circuit voltage value and a current full-charge reference capacity value of an automobile;
determining a current battery health according to the current battery temperature value and the current open-circuit voltage value;
and calculating a target full capacity value according to the current battery health and the current full power reference capacity value, and updating the actual full capacity of the automobile based on the target full capacity value.
2. The method of updating full capacity of an automotive battery according to claim 1, wherein said determining a current battery health from said current battery temperature value and said current open circuit voltage value comprises:
inputting the current battery temperature and the current battery open-circuit voltage value into a preset target prediction model to obtain the current battery health; the target prediction model is a model obtained by training an initial prediction model by adopting a sample data set, wherein the sample data set comprises a plurality of data sets, and each data set consists of historical battery health, historical battery temperature and historical battery open-circuit voltage values.
3. The method for updating full capacity of an automotive battery according to claim 1, wherein the updating the actual full capacity of the automotive based on the target full capacity value comprises:
acquiring the current full-power standing time length of the automobile; the current full-power standing time length is the time length between the switching from the power-down state to the power-up state after the automobile is fully charged for the last time;
and updating the actual full capacity of the automobile based on the target full capacity value when the automobile is determined to meet the preset full capacity updating condition based on the current full-power standing time.
4. The method for updating full capacity of an automobile battery according to claim 3, wherein updating the actual full capacity of the automobile based on the target full capacity value when it is determined that the automobile satisfies a preset full capacity updating condition based on the current full capacity rest period, comprises:
if the full-power standing time length is greater than a preset time length threshold, updating the current full-power standing times of the automobile, and acquiring an absolute value between the target full-power capacitance value and the full-power reference capacitance value; the full-power standing times are the occurrence times of target full-power standing events, and the target full-power standing events are events when the standing time length between the switching of the power-down state and the power-up state of the automobile is larger than the preset duration threshold after the automobile is fully charged;
and if the absolute value is larger than a preset full capacitance threshold, acquiring a first full capacitance value, updating the actual full capacitance of the automobile based on the first full capacitance value, resetting the full-electricity standing times to 0, wherein the first full capacitance value is the target full capacitance value.
5. The method of updating full capacity of an automotive battery according to claim 4, further comprising, after said obtaining an absolute value between said target full capacity value and said full-power reference capacity value:
if the absolute value is smaller than or equal to the preset full-charge capacity threshold value, the current full-charge standing times of the automobile are obtained, and the current full-charge standing times of the automobile are compared with the preset full-charge standing times threshold value;
if the current full-power standing times of the automobile is larger than the preset standing times threshold, a second full-capacity value is obtained, the actual full-capacity of the automobile is updated based on the second full-capacity value, the current full-power standing times of the automobile are reset to 0, and the second full-capacity value is an average value of target full-capacity values generated in multiple charging.
6. The method for updating full capacity of an automotive battery according to claim 1, wherein the step of obtaining the current full reference capacity value of the automotive battery comprises the steps of:
acquiring an SOC value of the automobile before the last charge, a full capacity basic value, a current value of a battery of the automobile in the last charge process and a charge duration of the battery after full charge; determining a current full-charge reference capacity value of the automobile according to the SOC value, the full-charge basic value, the current value and the charging duration; the full capacity basic value is one of an initial full capacity value, a full power reference capacity value obtained by the last calculation and an actual full capacity value obtained by the last calculation;
or alternatively, the first and second heat exchangers may be,
and taking the initial full capacity value of the automobile as the current full power reference capacity value of the automobile.
7. The method of updating full capacity of an automotive battery according to claim 1, wherein said calculating a target full capacity value from said current battery health and said current full reference capacity value comprises:
taking the product of the current full power reference capacity value and the current battery health as the target full capacity value.
8. An automotive battery full capacity update apparatus, comprising:
the acquisition module is used for acquiring the current battery temperature value, the current open-circuit voltage value and the current full-charge reference capacity value of the automobile;
the determining module is used for determining the current battery health according to the current battery temperature value and the current open-circuit voltage value;
and the calculation updating module is used for calculating a target full capacity value according to the current battery health and the current full power reference capacity value and updating the actual full capacity of the automobile based on the target full capacity value.
9. An electronic device comprising a processor and a memory, the memory having stored therein a computer program, the processor executing the computer program to implement the method of any of claims 1-8.
10. A computer-readable storage medium, characterized in that the computer-readable storage medium stores a computer program which, when executed by at least one processor, implements the method according to any of claims 1-8.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310263137.5A CN116160914A (en) | 2023-03-17 | 2023-03-17 | Method, device, equipment and storage medium for updating full capacity of automobile battery |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202310263137.5A CN116160914A (en) | 2023-03-17 | 2023-03-17 | Method, device, equipment and storage medium for updating full capacity of automobile battery |
Publications (1)
| Publication Number | Publication Date |
|---|---|
| CN116160914A true CN116160914A (en) | 2023-05-26 |
Family
ID=86411529
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202310263137.5A Pending CN116160914A (en) | 2023-03-17 | 2023-03-17 | Method, device, equipment and storage medium for updating full capacity of automobile battery |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN116160914A (en) |
-
2023
- 2023-03-17 CN CN202310263137.5A patent/CN116160914A/en active Pending
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN109716150B (en) | Secondary battery management system with remote parameter estimation | |
| JP6449303B2 (en) | Method, apparatus and system for estimating the state of charge of a battery | |
| CN110011374B (en) | Control method and system for battery charging and discharging current and terminal equipment | |
| CN112986842B (en) | Method, device and equipment for estimating state of charge of battery | |
| JP6221884B2 (en) | Estimation program, estimation method, and estimation apparatus | |
| CN112904208A (en) | Method and system for estimating open circuit voltage of battery cell | |
| CN110244236B (en) | Lithium ion battery pack SOC estimation method and device and terminal equipment | |
| CN109713762B (en) | Charging control method and device and terminal equipment | |
| CN113111508A (en) | Battery cell consistency evaluation method and device and server | |
| JP6421411B2 (en) | Estimation program for estimating battery charging rate, estimation method for estimating battery charging rate, and estimation device for estimating battery charging rate | |
| CN115113072A (en) | Estimation method of battery SOC and related device | |
| CN116466236A (en) | Battery remaining life prediction method, device, equipment and readable storage medium | |
| CN114895205A (en) | Battery model parameter acquisition method and device, computer equipment and storage medium | |
| WO2018025350A1 (en) | Estimation device, estimation program, and charging control device | |
| CN115808638A (en) | Charge state calculation method and device, storage medium and battery management system | |
| CN115932631A (en) | Method and device for predicting battery life, electronic equipment and readable storage medium | |
| CN115616421A (en) | Battery state of health estimation method, system, equipment and medium | |
| CN114879070A (en) | Battery state evaluation method and related equipment | |
| CN116087809A (en) | Method, device, equipment and storage medium for predicting state of charge value of automobile battery | |
| CN116819346B (en) | Battery SOC estimation method, device, equipment and storage medium | |
| WO2018029849A1 (en) | Estimation device, estimation program, and charging control device | |
| CN111665443A (en) | Fitting method and device of battery performance formula, storage medium and computer equipment | |
| CN116160914A (en) | Method, device, equipment and storage medium for updating full capacity of automobile battery | |
| CN113433458B (en) | Battery health state determining method and device | |
| CN115389954A (en) | Battery capacity estimation method, electronic equipment and readable storage medium |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| TA01 | Transfer of patent application right | ||
| TA01 | Transfer of patent application right |
Effective date of registration: 20240119 Address after: No. 13 Xingxiang Road, Zengjia Town, High tech Zone, Jiulongpo District, Chongqing, 400039 Applicant after: Chongqing Selis Phoenix Intelligent Innovation Technology Co.,Ltd. Address before: 610095 No. 2901, floor 29, unit 1, building 1, No. 151, Tianfu Second Street, high tech Zone, China (Sichuan) pilot Free Trade Zone, Chengdu, Sichuan Province Applicant before: Chengdu Thalys Technology Co.,Ltd. |