CN115447441A - Method, device and medium for determining single battery state of vehicle and vehicle - Google Patents

Method, device and medium for determining single battery state of vehicle and vehicle Download PDF

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Publication number
CN115447441A
CN115447441A CN202111069389.1A CN202111069389A CN115447441A CN 115447441 A CN115447441 A CN 115447441A CN 202111069389 A CN202111069389 A CN 202111069389A CN 115447441 A CN115447441 A CN 115447441A
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state
calculation time
time window
variance
determining
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杨磊
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Beijing CHJ Automobile Technology Co Ltd
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Beijing CHJ Automobile Technology Co Ltd
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Priority to CN202111069389.1A priority Critical patent/CN115447441A/en
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    • 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
    • B60L2240/10—Vehicle control parameters
    • B60L2240/14—Acceleration
    • 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
    • B60L2240/547—Voltage

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  • 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)
  • Tests Of Electric Status Of Batteries (AREA)

Abstract

The present disclosure relates to a method, an apparatus, a medium, and a vehicle for determining a state of a battery cell of the vehicle, including: determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle; calculating voltage information acquired for each single battery in a calculation time window, wherein each acquisition for each single battery comprises acquiring the voltage of each single battery, and calculating a voltage difference value between the voltage of the single battery acquired this time and a median of the voltage of each single battery acquired this time for each single battery, and the voltage information comprises the voltage difference value; calculating a variance value between voltage difference values in the voltage information; and determining the single battery state of the vehicle according to the magnitude relation between the variance value and the target variance threshold value. The variance is calculated through the calculation time windows in different running states, so that the accuracy of calculating the variance can be improved, and the accuracy of determining the state of the single battery is improved.

Description

Method, device and medium for determining single battery state of vehicle and vehicle
Technical Field
The disclosure relates to the technical field of new energy automobile battery monitoring, in particular to a method, a device, a medium and a vehicle for determining the state of a single battery of the vehicle.
Background
For new energy automobiles, the power supply performance, the stability performance and the safety performance of the battery pack are key indexes for measuring the performance of the vehicles. The operating voltage of the battery pack is an index that can directly reflect the performance of the vehicle, and therefore, whether the battery pack is abnormal can be determined by judging whether the voltage of each single battery in the battery pack is abnormal. In the related art, a voltage change rate or a State of Charge (SOC) change rate is calculated from a voltage value of each battery cell per second, and whether each battery cell is abnormal is determined according to a relationship between the voltage change rate and a preset voltage change rate threshold or a relationship between the SOC change rate and a preset SOC change rate threshold.
Disclosure of Invention
The purpose of the present disclosure is to provide a method, an apparatus, a medium, and a vehicle for determining a state of a single battery of the vehicle, in which a variance is calculated in a calculation time window in a corresponding operation state by configuring calculation time windows of different widths in different operation states, so that a calculation amount can be reduced, an accuracy of calculating the variance can be improved, and an accuracy of determining the state of the single battery can be improved.
In order to achieve the above object, in a first aspect, the present disclosure provides a method of determining a state of a battery cell of a vehicle, the method including:
determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle;
calculating a voltage difference value of the voltage collected for each single battery in the calculation time window;
calculating a variance value between the voltage difference values;
and determining the state of the single battery of the vehicle according to the magnitude relation between the variance value and a target variance threshold value.
Optionally, the obtaining of the operating state includes:
determining the charge and discharge state of the vehicle according to the charge and discharge identification of the single battery, wherein the charge and discharge identification is added according to the current direction of the single battery, and the charge and discharge state represents that the vehicle is in a charge state or a discharge state;
the determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle includes:
and determining a calculation time window for calculating the state of the single battery according to the acquired charging and discharging state, wherein the calculation time window determined in the discharging state is narrower than the calculation time window determined in the charging state.
Optionally, the obtaining of the operating state includes:
acquiring an acceleration value of the vehicle;
the determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle includes:
and determining a calculation time window for calculating the state of the single battery according to the acquired acceleration value, wherein the width of the calculation time window is negatively related to the acceleration value.
Optionally, the obtaining of the operating state includes:
acquiring the SOC change rate of a battery pack consisting of the single batteries;
the determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle includes:
and determining a calculation time window for calculating the state of the single battery according to the acquired SOC change rate, wherein the width of the calculation time window is in negative correlation with the SOC change rate.
Optionally, before the determining the state of the single battery of the vehicle according to the magnitude relationship between the variance value and the target variance threshold, the method further includes:
and determining the target variance threshold according to the charge and discharge state included in the running state.
Optionally, the charge-discharge state is indicative of the vehicle being in a charged state or a discharged state, and the target variance threshold determined in the discharged state is greater than the target variance threshold determined in the charged state.
Optionally, the state of charge includes a slow state and a fast state, and the target variance threshold determined in the slow state is less than the target variance threshold determined in the fast state.
Optionally, the determining, according to the acquired running state of the vehicle, a calculation time window for calculating the state of the single battery includes:
and determining a calculation time window corresponding to the operation state from a plurality of calculation time windows configured in advance according to the acquired operation state and the corresponding relation.
Optionally, the correspondence between the calculation time window and the running state of the vehicle is determined by:
acquiring historical operating states of the vehicle and historical voltage information acquired for each single battery under the historical operating states, wherein the historical voltage information comprises multiple acquisitions and voltage difference values acquired each time;
calculating a variance of the voltage difference value acquired in each time of the historical voltage information in each candidate calculation time window aiming at each candidate calculation time window in a plurality of candidate calculation time windows;
obtaining variance distribution of the historical voltage information according to the variance obtained by calculation of each candidate calculation time window;
and determining a calculation time window corresponding to the running state according to the variance distribution.
Optionally, the determining a calculation time window corresponding to the operation state according to the variance distribution includes:
determining a minimum candidate calculation time window which does not satisfy variance distribution under the operation state and a maximum candidate calculation time window which satisfies the variance distribution from the candidate time windows;
between the minimum candidate calculation time window and the maximum candidate calculation time window, taking the minimum candidate calculation time window as a starting calculation time window, shortening a step length according to a preset window, determining an alternative calculation time window, calculating an alternative variance for the voltage difference value acquired in the historical voltage information in the alternative calculation time window until the alternative variance meets the variance distribution, and determining the alternative calculation time window with the alternative variance meeting the variance distribution as a calculation time window corresponding to the operation state; alternatively, the first and second electrodes may be,
and taking the maximum candidate calculation time window as an initial calculation time window, increasing the step length according to a preset window, determining an alternative calculation time window, calculating an alternative variance for the voltage difference value acquired in the historical voltage information in the alternative calculation time window until the alternative variance does not meet the variance distribution, and determining the previous alternative calculation time window with the alternative variance not meeting the variance distribution as the calculation time window corresponding to the running state.
Optionally, the calculating a voltage difference of the voltages collected for each of the single batteries within the calculation time window includes:
and calculating the voltage difference value between the voltage of the single battery collected this time and the median of the voltage of each single battery collected this time in the calculation time window aiming at each single battery.
In a second aspect, the present disclosure provides an apparatus for determining a state of a battery cell of a vehicle, the apparatus comprising:
the first determination module is configured to determine a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle;
a first calculation module configured to calculate a voltage difference value of the collected voltages for each of the unit cells within the calculation time window;
a second calculation module configured to calculate a variance value between the voltage difference values;
a second determination module configured to determine a battery cell status of the vehicle based on a magnitude relationship between the variance value and a target variance threshold.
Optionally, the first determining device is configured to:
determining the charge and discharge state of the vehicle according to the charge and discharge identification of the single battery, wherein the charge and discharge identification is added according to the current direction of the single battery, and the charge and discharge state represents that the vehicle is in a charge state or a discharge state;
and determining a calculation time window for calculating the state of the single battery according to the acquired charge and discharge state, wherein the calculation time window determined in the discharge state is narrower than the calculation time window determined in the charge state.
Optionally, the first determining device is configured to:
acquiring an acceleration value of the vehicle;
and determining a calculation time window for calculating the state of the single battery according to the obtained acceleration value, wherein the width of the calculation time window is in negative correlation with the acceleration value.
Optionally, the first determining device is configured to:
acquiring the SOC change rate of a battery pack consisting of the single batteries;
and determining a calculation time window for calculating the state of the single battery according to the acquired SOC change rate, wherein the width of the calculation time window is in negative correlation with the SOC change rate.
Optionally, the second determining module is configured to determine the target variance threshold according to a charge-discharge state included in the operating state before determining the state of the single battery of the vehicle according to the magnitude relationship between the variance value and the target variance threshold.
Optionally, the charge-discharge state is indicative of the vehicle being in a charged state or a discharged state, and the target variance threshold determined in the discharged state is greater than the target variance threshold determined in the charged state.
Optionally, the state of charge comprises a slow charge state and a fast charge state, and the target variance threshold determined in the slow charge state is less than the target variance threshold determined in the fast charge state.
Optionally, the vehicle is preconfigured with a plurality of calculation time windows and a corresponding relationship between each calculation time window and an operation state of the vehicle, and the first determining module is configured to determine, according to the acquired operation state and the corresponding relationship, a calculation time window corresponding to the operation state from the preconfigured calculation time windows.
Optionally, the first determination module is further configured to determine a correspondence between the calculation time window and an operating state of the vehicle by:
acquiring historical operating states of the vehicle and historical voltage information acquired for each single battery under the historical operating states, wherein the historical voltage information comprises multiple acquisitions and voltage difference values acquired each time;
calculating a variance of the voltage difference value acquired in each time of the historical voltage information in each candidate calculation time window aiming at each candidate calculation time window in a plurality of candidate calculation time windows;
obtaining variance distribution of the historical voltage information according to the variance obtained by calculation of each candidate calculation time window;
and determining a calculation time window corresponding to the running state according to the variance distribution.
Optionally, the first determining module is further configured to:
determining a minimum candidate calculation time window which does not satisfy variance distribution and a maximum candidate calculation time window which satisfies the variance distribution in the running state from the candidate time windows;
between the minimum candidate calculation time window and the maximum candidate calculation time window, taking the minimum candidate calculation time window as a starting calculation time window, shortening a step length according to a preset window, determining an alternative calculation time window, calculating an alternative variance for the voltage difference value acquired in the historical voltage information in the alternative calculation time window until the alternative variance meets the variance distribution, and determining the alternative calculation time window with the alternative variance meeting the variance distribution as a calculation time window corresponding to the operation state; alternatively, the first and second electrodes may be,
and taking the maximum candidate calculation time window as an initial calculation time window, increasing the step length according to a preset window, determining an alternative calculation time window, calculating an alternative variance for the voltage difference value acquired in the historical voltage information in the alternative calculation time window until the alternative variance does not meet the variance distribution, and determining the previous alternative calculation time window with the alternative variance not meeting the variance distribution as the calculation time window corresponding to the running state.
Optionally, the first calculating module is configured to calculate, for each of the single batteries, a voltage difference between the voltage of the single battery collected this time and a median of the voltages of the single batteries collected this time within the calculation time window.
In a third aspect, the present disclosure provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, performs the steps of the method of any one of the first aspect.
In a fourth aspect, the present disclosure provides a vehicle comprising a controller including a memory having a computer program stored therein and a processor that, when executing the computer program, implements the steps of the method of any one of the first aspects.
By the technical scheme, the variance is calculated in the calculation time windows in the corresponding operation states by configuring the calculation time windows with different widths in different operation states, so that the calculation amount can be reduced, the accuracy of calculating the variance is improved, and the accuracy of determining the state of the single battery is improved.
Additional features and advantages of the disclosure will be set forth in the detailed description which follows.
Drawings
The accompanying drawings, which are included to provide a further understanding of the disclosure and are incorporated in and constitute a part of this specification, illustrate embodiments of the disclosure and together with the description serve to explain the disclosure without limiting the disclosure. In the drawings:
FIG. 1 is a flow chart illustrating a method of determining a battery cell status of a vehicle according to an exemplary embodiment;
FIG. 2 is a flow chart illustrating a method of determining a correspondence between a calculated time window and an operating state of a vehicle in accordance with an exemplary embodiment;
FIG. 3 is a diagram illustrating a variance distribution from candidate computation time windows in accordance with an exemplary embodiment;
FIG. 4 is a flowchart illustrating one implementation of step S24 in FIG. 2, according to an example embodiment;
FIG. 5 is a flow chart illustrating another method of determining a battery cell status of a vehicle in accordance with an exemplary embodiment;
FIG. 6 is a block diagram illustrating an apparatus for determining a battery cell status of a vehicle in accordance with an exemplary embodiment;
FIG. 7 is a block diagram illustrating an electronic device in accordance with an example embodiment.
Detailed Description
Reference will now be made in detail to the exemplary embodiments, examples of which are illustrated in the accompanying drawings. The following description refers to the accompanying drawings in which the same numbers in different drawings represent the same or similar elements unless otherwise indicated. The implementations described in the exemplary embodiments below are not intended to represent all implementations consistent with the present disclosure. Rather, they are merely examples of apparatus and methods consistent with certain aspects of the present disclosure, as detailed in the appended claims.
Also, it should be noted that for simplicity of description, the method embodiments provided in the present disclosure are described as a series of action combinations, but those skilled in the art should understand that the present disclosure is not limited by the described action sequences. Further, those skilled in the art will appreciate that the embodiments described in the specification are presently preferred embodiments and that no particular act is required by the present disclosure.
In the related art, the voltage change rate or the SOC change rate is calculated according to the second-level voltage information, which results in a large calculation amount and occupies more calculation resources, and the voltage fluctuation of the battery cell and the battery pack is different in different operating states of the vehicle, and the same calculation time window is used in different operating states, which cannot match the operating states, resulting in low accuracy of calculating the variance, and thus, the accuracy of determining the battery cell state of the vehicle is low.
Fig. 1 is a flowchart illustrating a method for determining a battery cell status of a vehicle, which may be applied to a battery management system or a cloud server, according to an exemplary embodiment, and referring to fig. 1, the method includes the following steps.
In step S11, a calculation time window for calculating the state of the battery cell is determined according to the acquired running state of the vehicle.
The calculation time window is a window period used for calculating the state of the single battery, and the single battery is a single battery core in the battery pack.
In one possible implementation, the calculation time window for calculating the state of the battery cell may be determined according to the ambient temperature and the operating state of the vehicle.
On the basis of the above embodiment, the operation state includes a charge-discharge state, and before step S11, the charge-discharge state of the vehicle is determined according to the charge-discharge identifier of the single battery, the charge-discharge identifier is added according to the current direction of the single battery, and the charge-discharge state represents that the vehicle is in the charge state or the discharge state.
The battery management system adds a charge and discharge identifier to the voltage information of the single battery according to the current direction of the single battery, for example, if the battery management system detects that the current direction is flowing to the single battery, the battery management system determines that the vehicle is in a charging state, adds a charge and discharge identifier "+" to the voltage information of the single battery, and if the current direction is flowing out of the single battery, the battery management system determines that the vehicle is in a discharging state, and adds a charge and discharge identifier "-" to the voltage information of the single battery.
In step S11, determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle includes:
and determining a calculation time window for calculating the state of the single battery according to the acquired charge and discharge state, wherein the calculation time window determined in the discharge state is narrower than the calculation time window determined in the charge state.
It can be understood that, a vehicle in a discharging state is usually in a running state, the fluctuation of output current is larger along with the influence of road surface gradient and road running state in the running state, while constant-current or constant-voltage charging is usually performed in a charging state, and the fluctuation of input current is smaller, so that the voltage fluctuation of a single battery in the discharging state is larger than the voltage fluctuation of the single battery in the charging state, and the larger the voltage fluctuation is, the lower the voltage state stability of the single battery is represented, the state of the single battery needs to be determined quickly, the smaller the relative voltage fluctuation is, the higher the voltage state stability of the single battery is represented, and the frequency of calculating variance can be reduced properly. Therefore, the calculation time window determined in the discharging state is narrower than the calculation time window determined in the charging state.
By adopting the technical scheme, the calculation time windows with different widths can be adopted in the charging state and the discharging state, the voltage fluctuation in the two running states can be adapted, the calculation amount is reduced, the accuracy of calculating the variance is improved, and the accuracy of determining the state of the single battery is improved.
On the basis of the above embodiment, the running state includes an acceleration value, and the acceleration value of the vehicle is acquired before step S11;
in step S11, determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle includes:
and determining a calculation time window for calculating the state of the single battery according to the obtained acceleration value, wherein the width of the calculation time window is in negative correlation with the acceleration value.
Specifically, the vehicle control unit calculates an acceleration value of the vehicle according to the current running speed of the vehicle and the running speed of the vehicle at the previous moment, the battery management system is communicated with the vehicle control unit through the CAN bus to further obtain the acceleration value in the vehicle control unit, or the cloud server is in communication connection with the vehicle-mounted internet communication terminal T-BOX, the vehicle control unit uploads the acceleration value to the T-BOX through the CAN bus, and the cloud server obtains the acceleration value from the T-BOX.
It is understood that the greater the vehicle acceleration, the greater the fluctuation of the output current, and the smaller the vehicle acceleration, the smaller the fluctuation of the input current. Thus, the greater the acceleration value, the narrower the width of the calculation time window, and the smaller the acceleration value, the wider the width of the calculation time window.
By adopting the technical scheme, the calculation time windows with different widths can be adopted in different acceleration states, the voltage fluctuation in different acceleration states can be adapted, the calculation amount is reduced, the accuracy of calculating the variance is improved, and the accuracy of determining the state of the single battery is improved.
On the basis of the above embodiment, the operating state includes the SOC change rate, and the SOC change rate of the battery pack made up of the individual batteries is acquired before step S11;
in step S11, determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle includes:
and determining a calculation time window for calculating the state of the single battery according to the acquired SOC change rate, wherein the width of the calculation time window is in negative correlation with the SOC change rate.
For example, in the case where the SOC change rate is 1%, the calculation time window for calculating the cell state is determined to be 20 seconds; in the case where the SOC change rate is 2%, the calculation time window for calculating the state of the unit cell is determined to be 10 seconds.
In one possible implementation, a calculation time window for calculating the state of the single battery may be determined according to the charge and discharge state of the vehicle and the SOC change rate. Specifically, the same rate of change of SOC, the width of the calculation time window in the charged state is wider than the width of the calculation time window in the discharged state.
By adopting the technical scheme, the calculation time windows with different widths can be adopted under different SOC change rates, the voltage fluctuation under different SOC change rates can be adapted, the calculation amount is reduced, the accuracy of calculating the variance is improved, and the accuracy of determining the state of the single battery is improved.
In step S12, a voltage difference value of the collected voltages for each unit cell within the calculation time window is calculated.
The method comprises the steps of collecting the voltage of each single battery for each single battery, and calculating the voltage difference value between the voltage of the single battery collected this time and the median of the voltage of each single battery collected this time for each single battery.
For example, in the case that it is determined that the vehicle is in a charging state and the calculation time window is 10 seconds, if 96 cells are included in the battery pack and the voltage difference value is calculated once every second, calculating the voltage difference value once means calculating the voltage difference value between the median of the voltages of each cell and 96 cells, and further, in the case that the time length of the calculation time window is reached, calculating the voltage difference value for 10 times in the time window.
As yet another example, in the case where it is determined that the vehicle is in the discharging state and the calculation time window is 5 seconds, and the voltage difference value is also calculated once every second, in the case where the duration of the calculation time window is reached, there are 5 calculated voltage difference values within the calculation time window.
In step S13, a variance value between the voltage difference values is calculated.
To continue the explanation with the embodiment in step S12, in the case where there are 10 calculated voltage difference values within the calculation time window, the variance value between the 10 calculated voltage difference values is calculated. That is, first, the average of the 960 voltage difference values is calculated to obtain the overall average, 96 cells are calculated once per second to obtain 96 voltage difference values, and the calculation time window includes 10 results of calculating the voltage difference values, thus, 960 voltage difference values.
Further, a first difference between each voltage difference and the overall average is calculated, and the square sum of the 960 calculated first differences is divided by the total number 960 of voltage differences to obtain a variance.
In step S14, the state of the single battery of the vehicle is determined according to the magnitude relationship between the variance value and the target variance threshold.
On the basis of the above embodiment, before step S14, the method further includes:
and determining a target variance threshold according to the charge-discharge state included in the operation state.
On the basis of the above embodiment, the charge-discharge state indicates that the vehicle is in a charged state or a discharged state, and the target variance threshold determined in the discharged state is larger than the target variance threshold determined in the charged state.
On the basis of the above embodiment, the state of charge includes a slow-charge state and a fast-charge state, and the target variance threshold determined in the slow-charge state is smaller than the target variance threshold determined in the fast-charge state.
Determining that the vehicle is in a slow charging state or a fast charging state according to the magnitude of the charging current; or determining that the vehicle is in a slow charging state or a quick charging state according to the type of a charging socket connected with a charging plug of the vehicle.
By adopting the technical scheme, the size of the target variance threshold can be determined according to the charge-discharge state, the voltage fluctuation of the charge state is small, so that a small target variance threshold needs to be set, and the voltage fluctuation of the discharge state is large, so that a large target variance threshold needs to be set; similarly, the voltage fluctuation in the slow charge state is small, and therefore a small target variance threshold needs to be set, while the voltage fluctuation in the fast charge state is large, and therefore a large target variance threshold needs to be set. In this way, the target variance threshold value to be compared with the variance value can be determined according to the charge and discharge state, and the accuracy of determining the state of the single battery can be further improved.
If the variance value is smaller than or equal to the target variance threshold value, determining that the single battery of the vehicle is in a normal state; and if the variance value is larger than the target variance threshold value, determining that the single battery of the vehicle is in an abnormal state.
According to the technical scheme, the variance is calculated in the calculation time windows in the corresponding operation states by selecting the calculation time windows with different widths in different operation states, so that the calculated amount can be reduced, the accuracy of calculating the variance is improved, and the accuracy of determining the state of the single battery is improved.
On the basis of the above-described embodiment, the vehicle is provided with a plurality of calculation time windows in advance, and a correspondence relationship between each calculation time window and the running state of the vehicle.
For example, the charging state corresponds to a charging calculation time window, and the discharging state corresponds to a discharging calculation time window; and calculating time windows are correspondingly arranged at different acceleration values one by one, and similarly, calculating time windows are correspondingly arranged at different SOC change rates one by one.
In step S11, determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle includes:
and determining a calculation time window corresponding to the running state from a plurality of calculation time windows configured in advance according to the acquired running state and the corresponding relation.
For example, when the running state of the vehicle is the charging state, it is further determined that the vehicle is in the slow charging state or the fast charging state, if it is determined that the vehicle is in the slow charging state, the variance threshold of the slow charging state is determined as the target variance threshold, and the calculation time window is determined according to the charging state of the vehicle and the corresponding relationship between the charging state and the calculation time window.
Further, voltage information acquired for each single battery in the calculation time window is acquired, a variance value between voltage difference values in the voltage information is calculated, and then the single battery state of the vehicle in the slow charging state is determined according to the magnitude relation between the variance value in the charging state and the variance threshold value in the slow charging state.
On the basis of the above-described embodiments, fig. 2 is a flow chart illustrating a method of determining a correspondence between a calculation time window and a vehicle running state according to an exemplary embodiment, and with reference to fig. 2, the method includes the following steps.
In step S21, a historical operating state of the vehicle and historical voltage information collected for each battery cell in the historical operating state are acquired, and the historical voltage information includes a plurality of times of collection and a voltage difference value collected each time.
And calculating a voltage difference value between the voltage of each single battery collected this time and a median of the voltages of all the single batteries collected this time aiming at the historical voltage collected each time by each single battery.
In step S22, for each candidate calculation time window of the plurality of candidate calculation time windows, a variance is calculated for each acquired voltage difference value in the historical voltage information in each candidate calculation time window.
It will be appreciated that different candidate calculation time windows may be determined for different operating states of the vehicle in order to improve the accuracy of the resulting calculation time window and to reduce the amount of calculations to determine the calculation time window. For example, for the state of charge, a plurality of candidate calculation time windows may be determined to be 20 seconds, 25 seconds, 30 seconds, and 35 seconds; while for the discharge state, a number of candidate calculation time windows may be determined to be 5 seconds, 10 seconds, and 15 seconds.
Further, for a candidate calculation time window of 20 seconds, dividing historical voltage difference values according to the calculation time window of every 20 seconds, and calculating the variance between all the voltage difference values within the 20 seconds, similarly, for a candidate calculation time window of 25 seconds, dividing historical voltage difference values according to the calculation time window of every 25 seconds, and calculating the variance between all the voltage difference values within the 25 seconds, and for other candidate calculation time windows, calculating the variance similarly, which is not described herein again.
In step S23, a variance distribution of the voltage information for the history is obtained from the variances calculated for the respective candidate calculation time windows.
In the following description of the embodiment of step S22, a coordinate axis is established with the abscissa as the number of calculation time windows for calculating the variance and the ordinate as the variance, and for each calculated variance of each candidate calculation time window in the charging state, the variance is mapped to the position of the variance according to the number of times of calculating the variance, so as to obtain the variance distribution of the voltage information for the history in the charging state.
Similarly, the number of calculation time windows with the abscissa as the calculation variance and the ordinate as the variance are used for establishing a coordinate axis, and for each calculated variance of each candidate calculation time window in the discharge state, the variance is used for correspondingly determining the position of the variance according to the number of times of calculating the variance, so that the variance distribution of the voltage information for the history in the discharge state is obtained. As shown in fig. 3.
In step S24, a calculation time window corresponding to the operation state is determined based on the variance distribution.
As shown in fig. 3, it can be seen from the variance distribution that the variance values corresponding to the time windows of 5 seconds and 10 seconds are relatively close, and the variance values corresponding to the time windows of 15 seconds are relatively different from the variance values corresponding to the time windows of 5 seconds and 10 seconds.
Therefore, in order to increase the voltage difference value in each calculation time window, further reduce the number of times of calculating the variance, and simultaneously ensure the accuracy of calculating the variance, the candidate calculation time window corresponding to 10 seconds can be determined as the calculation time window in the corresponding discharge state.
Similarly, the calculation time window in the charging state, the calculation time windows in different acceleration values, or the calculation time windows in different SOC change rates may be determined.
According to the technical scheme, the variance is calculated for a plurality of candidate calculation time windows through historical voltage information in a historical operating state, the calculation time windows in each operating state are determined according to variance distribution, so that the calculation time windows for calculating the variance can be determined according to the operating states and the corresponding relation, the calculation time windows with different widths can be configured in different operating states, the calculation amount can be reduced, the accuracy for calculating the variance can be improved, and the accuracy for determining the state of the single battery can be improved.
On the basis of the above embodiment, fig. 4 is a flowchart illustrating an implementation of step S24 in fig. 2 according to an exemplary embodiment, and referring to fig. 4, in step S24, the determining a calculation time window corresponding to the operating state according to the variance distribution includes the following steps.
In step S241, the minimum candidate calculation time window that does not satisfy the variance distribution in the operating state and the maximum candidate calculation time window that satisfies the variance distribution are determined from the candidate time windows.
As shown in fig. 3, the candidate calculation time window corresponding to 10 seconds is the largest candidate calculation time window satisfying the variance distribution, and the candidate calculation time window corresponding to 15 seconds is the smallest candidate calculation time window not satisfying the variance distribution.
In step S242, between the minimum candidate calculation time window and the maximum candidate calculation time window, the minimum candidate calculation time window is used as an initial calculation time window, and the step length is shortened according to a preset window, so as to determine an alternative calculation time window.
For example, taking a candidate calculation time window corresponding to 15 seconds as a starting calculation time window, shortening the step length by 1 second according to a preset window, determining the candidate calculation time window, and obtaining the candidate calculation time windows of 14 seconds, 13 seconds, 12 seconds and 11 seconds.
In step S243, a variance candidate is calculated for the voltage difference acquired each time in the historical voltage information within the variance candidate calculation time window until the variance candidate satisfies the variance distribution.
In step S244, the candidate calculation time window in which the candidate variance satisfies the variance distribution is determined as the calculation time window corresponding to the historical operating state.
And calculating alternative variance for voltage difference values acquired in the historical voltage information in an alternative calculation time window of 14 seconds, and determining whether the alternative variance meets variance distribution constructed by the variance of the candidate calculation time windows of 10 seconds and 5 seconds. If yes, the 14-second alternative calculation time window is a calculation time window in a discharge state; if not, the calculation continues for 13 seconds, 12 seconds, and 11 seconds until the candidate variance satisfies the variance distribution. And determining the alternative calculation time window with the alternative variance meeting the variance distribution as the calculation time window in the discharge state.
If 11 seconds are not satisfied, the candidate calculation time window corresponding to 10 seconds can be determined as the calculation time window in the discharge state.
In step S245, the maximum candidate calculation time window is used as the initial calculation time window, and the step size is increased according to the preset window, so as to determine the candidate calculation time window.
For example, taking a candidate calculation time window corresponding to 10 seconds as a starting calculation time window, increasing the step length by 1 second according to a preset window, and determining alternative calculation time windows, wherein the obtained alternative calculation time windows are 11 seconds, 12 seconds, 13 seconds and 14 seconds.
In step S246, a candidate variance is calculated for each collected voltage difference in the historical voltage information within the candidate calculation time window until the candidate variance does not satisfy the variance distribution.
In step S247, the previous candidate calculation time window in which the candidate variance does not satisfy the variance distribution is determined as the calculation time window corresponding to the historical operating state.
And calculating alternative variance for voltage difference values acquired in historical voltage information in an alternative calculation time window of 11 seconds, and determining whether the alternative variance meets variance distribution constructed by the variance of the candidate calculation time windows of 10 seconds and 5 seconds. If not, the candidate calculation time window of 10 seconds is the calculation time window in the discharging state; if the variance of the candidate is not satisfied, the calculation is continued for 12 seconds, 13 seconds and 14 seconds until the candidate variance does not satisfy the variance distribution, and the previous candidate calculation time window in which the candidate variance does not satisfy the variance distribution is determined as the calculation time window in the discharging state. For example, if the variance candidate corresponding to 13 seconds does not satisfy the variance distribution, the 12-second candidate calculation time window is determined as the calculation time window in the discharge state.
If 14 seconds are also satisfied and 15 seconds are not satisfied, the candidate calculation time window corresponding to 14 seconds can be determined as the calculation time window in the discharge state.
The method for determining the state of the battery cell of the vehicle of the present disclosure is described in detail below by way of specific embodiments, and as shown in fig. 5, the method includes the following steps.
A script file of a programming language of the scala type is established and a spark. Sql toolkit is introduced. And deleting null values in the voltage information and cleaning repeated information of the same time node based on spark.
Further, for the effective voltage information acquired each time, the difference between the voltage of the single battery and the median of the voltages of all the single batteries is calculated, and the voltage difference value Vdeta acquired each time is obtained. And determining a calculation time window and a target variance threshold, and further calculating the variance between the voltage difference values in each calculation time window to obtain a variance value Vvar. And finally, determining the state of the single battery through the size relation between the variance value and the target variance threshold value.
Based on the same inventive concept, the present disclosure also provides an apparatus for determining a state of a battery cell of a vehicle, which may implement all or part of the steps of the method for determining the state of the battery cell of the vehicle in software, hardware, or a combination of both. Fig. 6 is a block diagram illustrating an apparatus 100 for determining a state of a battery cell of a vehicle according to an exemplary embodiment, the apparatus 100 including, as shown in fig. 6: a first determination module 110, a first calculation module 120, a second calculation module 130, and a second determination module 140.
The first determining module 110 is configured to determine a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle;
a first calculation module 120 configured to calculate a voltage difference value of the collected voltages for each of the unit cells within the calculation time window;
a second calculating module 130 configured to calculate a variance value between each of the voltage difference values in the voltage information;
a second determination module 140 configured to determine a battery cell status of the vehicle according to a magnitude relationship between the variance value and a target variance threshold.
According to the device, the variance is calculated in the calculation time windows in corresponding operation states by configuring the calculation time windows with different widths in different operation states, so that the calculated amount can be reduced, the accuracy of calculating the variance is improved, and the accuracy of determining the state of the single battery is improved.
Optionally, the first determining device 110 is configured to:
determining the charge and discharge state of the vehicle according to the charge and discharge identification of the single battery, wherein the charge and discharge identification is added according to the current direction of the single battery, and the charge and discharge state represents that the vehicle is in a charge state or a discharge state;
and determining a calculation time window for calculating the state of the single battery according to the acquired charge and discharge state, wherein the calculation time window determined in the discharge state is narrower than the calculation time window determined in the charge state.
Optionally, the first determining device 110 is configured to:
acquiring an acceleration value of the vehicle;
and determining a calculation time window for calculating the state of the single battery according to the obtained acceleration value, wherein the width of the calculation time window is in negative correlation with the acceleration value.
Optionally, the first determining device 110 is configured to:
acquiring the SOC change rate of a battery pack formed by the single batteries;
and determining a calculation time window for calculating the state of the single battery according to the obtained SOC change rate, wherein the width of the calculation time window is in negative correlation with the SOC change rate.
Optionally, the second determining module 140 is configured to determine the target variance threshold according to a charge and discharge state included in the operating state before determining the state of the single battery of the vehicle according to the magnitude relationship between the variance value and the target variance threshold.
Optionally, the charge-discharge state is indicative of the vehicle being in a charged state or a discharged state, and the target variance threshold determined in the discharged state is greater than the target variance threshold determined in the charged state.
Optionally, the state of charge includes a slow state and a fast state, and the target variance threshold determined in the slow state is less than the target variance threshold determined in the fast state.
Optionally, the vehicle is preconfigured with a plurality of calculation time windows and a corresponding relationship between each calculation time window and an operating state of the vehicle, and the first determining module is configured to determine, according to the acquired operating state and the corresponding relationship, a calculation time window corresponding to the operating state from the preconfigured calculation time windows.
Optionally, the first determining module 110 is further configured to determine a correspondence between the calculation time window and the running state of the vehicle by:
acquiring historical operating states of the vehicle and historical voltage information acquired for each single battery under the historical operating states, wherein the historical voltage information comprises multiple times of acquisition and voltage difference values acquired each time;
calculating a variance of the voltage difference value acquired in each time of the historical voltage information in each candidate calculation time window aiming at each candidate calculation time window in a plurality of candidate calculation time windows;
obtaining variance distribution of the historical voltage information according to the variance obtained by calculation of each candidate calculation time window;
and determining a calculation time window corresponding to the running state according to the variance distribution.
Optionally, the first determining module 110 is further configured to:
determining a minimum candidate calculation time window which does not satisfy variance distribution and a maximum candidate calculation time window which satisfies the variance distribution in the running state from the candidate time windows;
between the minimum candidate calculation time window and the maximum candidate calculation time window, determining an alternative calculation time window by taking the minimum candidate calculation time window as an initial calculation time window according to a preset window shortening step length, calculating an alternative variance for the voltage difference value acquired in the historical voltage information in the alternative calculation time window until the alternative variance meets the variance distribution, and determining the alternative calculation time window with the alternative variance meeting the variance distribution as a calculation time window corresponding to the operating state; alternatively, the first and second electrodes may be,
and taking the maximum candidate calculation time window as a starting calculation time window, increasing the step length according to a preset window, determining an alternative calculation time window, calculating an alternative variance for the voltage difference value acquired in the historical voltage information in the alternative calculation time window until the alternative variance does not meet the variance distribution, and determining the previous alternative calculation time window with the alternative variance not meeting the variance distribution as the calculation time window corresponding to the operation state.
Optionally, the first calculating module 120 is configured to calculate, for each of the single batteries, a voltage difference between the voltage of the single battery collected this time and a median of the voltages of the single batteries collected this time within the calculation time window.
With regard to the apparatus in the above embodiment, the specific manner in which each module performs the operation has been described in detail in the embodiment related to the method, and will not be described in detail here.
In addition, it is worth to be noted that, when the modules in the foregoing embodiments are implemented specifically, the modules may be independent devices or may be the same device, for example, the calculation module 130 and the second determination module 140, and may be the same module or two modules, which is not limited in this disclosure.
The present disclosure also provides a computer-readable storage medium having stored thereon a computer program which, when executed by a processor, implements the steps of the method of any of the preceding claims.
The present disclosure also provides a controller, comprising a memory and a processor, wherein the memory stores a computer program, and the processor implements the steps of any one of the foregoing methods when executing the computer program.
The present disclosure also provides a vehicle including the aforementioned controller. Or a cloud server comprising the aforementioned controller.
Fig. 7 is a block diagram of an electronic device 700 shown in accordance with an example embodiment. The electronic device may be configured as a controller, and as shown in fig. 7, the electronic device 700 may include: a processor 701 and a memory 702. The electronic device 700 may also include one or more of a multimedia component 703, an input/output (I/O) interface 704, and a communication component 705.
The processor 701 is configured to control the overall operation of the electronic device 700 to complete all or part of the steps of the method for determining the battery cell status of the vehicle.
The memory 702 is used to store various types of data to support operation of the electronic device 700, such as instructions for any application or method operating on the electronic device 700 and application-related data, such as voltage information, calculated time window data, and the like. The Memory 702 may be implemented by any type of volatile or non-volatile Memory device or combination thereof, such as Static Random Access Memory (SRAM), electrically Erasable Programmable Read-Only Memory (EEPROM), erasable Programmable Read-Only Memory (EPROM), programmable Read-Only Memory (PROM), read-Only Memory (ROM), magnetic Memory, flash Memory, magnetic disk, or optical disk.
The multimedia components 703 may include screen and audio components. Wherein the screen may be, for example, a touch screen and the audio component is used for outputting and/or inputting audio signals.
The I/O interface 704 provides an interface between the processor 701 and other interface modules, such as a keyboard, mouse, buttons, etc. These buttons may be virtual buttons or physical buttons.
The communication component 705 is used for wired or wireless communication between the electronic device 700 and other devices. Wireless Communication, such as Wi-Fi, bluetooth, near Field Communication (NFC), 2G, 3G, 4G, NB-IOT, eMTC, or other 5G, or combinations thereof, which is not limited herein. The corresponding communication component 705 may thus comprise: wi-Fi module, bluetooth module, NFC module, etc. Wired communication such as a CAN bus, a LIN bus, etc.
In an exemplary embodiment, the electronic Device 700 may be implemented by one or more Application Specific Integrated Circuits (ASICs), digital Signal Processors (DSPs), digital Signal Processing Devices (DSPDs), programmable Logic Devices (PLDs), field Programmable Gate Arrays (FPGAs), controllers, microcontrollers, microprocessors, or other electronic components for performing the above-described method of determining the state of the battery cells of the vehicle.
In another exemplary embodiment, a computer readable storage medium comprising program instructions which, when executed by a processor, carry out the steps of the above-described method of determining a battery cell status of a vehicle is also provided. For example, the computer readable storage medium may be the memory 702 described above including program instructions executable by the processor 701 of the electronic device 700 to perform the method of determining the battery cell status of a vehicle described above.
The preferred embodiments of the present disclosure are described in detail with reference to the accompanying drawings, however, the present disclosure is not limited to the specific details of the above embodiments, and various simple modifications may be made to the technical solution of the present disclosure within the technical idea of the present disclosure, and these simple modifications all belong to the protection scope of the present disclosure.
It should be noted that the various features described in the above embodiments may be combined in any suitable manner without departing from the scope of the invention. In order to avoid unnecessary repetition, various possible combinations will not be separately described in this disclosure.
In addition, any combination of various embodiments of the present disclosure may be made, and the same should be considered as the disclosure of the present disclosure as long as it does not depart from the gist of the present disclosure.

Claims (15)

1. A method of determining a state of a cell of a vehicle, the method comprising:
determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle;
calculating a voltage difference value of the voltage collected for each single battery in the calculation time window;
calculating a variance value between the voltage difference values;
and determining the state of the single battery of the vehicle according to the magnitude relation between the variance value and a target variance threshold value.
2. The method of claim 1, wherein the obtaining of the operational status comprises:
determining the charge and discharge state of the vehicle according to the charge and discharge identification of the single battery, wherein the charge and discharge identification is added according to the current direction of the single battery, and the charge and discharge state represents that the vehicle is in a charge state or a discharge state;
the determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle includes:
and determining a calculation time window for calculating the state of the single battery according to the acquired charge and discharge state, wherein the calculation time window determined in the discharge state is narrower than the calculation time window determined in the charge state.
3. The method of claim 1, wherein the obtaining of the operational status comprises:
acquiring an acceleration value of the vehicle;
the determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle includes:
and determining a calculation time window for calculating the state of the single battery according to the obtained acceleration value, wherein the width of the calculation time window is in negative correlation with the acceleration value.
4. The method of claim 1, wherein the obtaining of the operational state comprises:
acquiring the SOC change rate of a battery pack consisting of the single batteries;
the determining a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle includes:
and determining a calculation time window for calculating the state of the single battery according to the acquired SOC change rate, wherein the width of the calculation time window is in negative correlation with the SOC change rate.
5. The method according to any one of claims 1-4, characterized in that before said determining the battery cell status of the vehicle according to the magnitude relation between the variance value and a target variance threshold, further comprising:
and determining the target variance threshold according to the charge and discharge state included in the running state.
6. The method of claim 5, wherein the charge-discharge state is indicative of the vehicle being in a charge state or a discharge state, and wherein the target variance threshold determined in the discharge state is greater than the target variance threshold determined in the charge state.
7. The method of claim 6, wherein the state of charge comprises a slow charge state and a fast charge state, and wherein the target variance threshold determined in the slow charge state is less than the target variance threshold determined in the fast charge state.
8. The method according to claim 1, wherein the vehicle is configured with a plurality of calculation time windows in advance, and a corresponding relationship between each calculation time window and the running state of the vehicle, and the determining the calculation time window for calculating the state of the single battery according to the obtained running state of the vehicle comprises:
and determining a calculation time window corresponding to the operation state from a plurality of calculation time windows configured in advance according to the acquired operation state and the corresponding relation.
9. The method according to claim 8, characterized in that the correspondence between the calculation time window and the operating state of the vehicle is determined by:
acquiring historical operating states of the vehicle and historical voltage information acquired for each single battery under the historical operating states, wherein the historical voltage information comprises multiple times of acquisition and voltage difference values acquired each time;
calculating a variance of the voltage difference value acquired in each time of the historical voltage information in each candidate calculation time window aiming at each candidate calculation time window in a plurality of candidate calculation time windows;
obtaining variance distribution of the historical voltage information according to the variance obtained by calculation of each candidate calculation time window;
and determining a calculation time window corresponding to the running state according to the variance distribution.
10. The method of claim 9, wherein determining a calculated time window for a corresponding operating condition based on the distribution of variances comprises:
determining a minimum candidate calculation time window which does not satisfy variance distribution under the operation state and a maximum candidate calculation time window which satisfies the variance distribution from the candidate time windows;
between the minimum candidate calculation time window and the maximum candidate calculation time window, determining an alternative calculation time window by taking the minimum candidate calculation time window as an initial calculation time window according to a preset window shortening step length, calculating an alternative variance for the voltage difference value acquired in the historical voltage information in the alternative calculation time window until the alternative variance meets the variance distribution, and determining the alternative calculation time window with the alternative variance meeting the variance distribution as a calculation time window corresponding to the operating state; alternatively, the first and second electrodes may be,
and taking the maximum candidate calculation time window as a starting calculation time window, increasing the step length according to a preset window, determining an alternative calculation time window, calculating an alternative variance for the voltage difference value acquired in the historical voltage information in the alternative calculation time window until the alternative variance does not meet the variance distribution, and determining the previous alternative calculation time window with the alternative variance not meeting the variance distribution as the calculation time window corresponding to the operation state.
11. The method according to any one of claims 1-4, wherein said calculating a voltage difference value of the collected voltage for each of said cells within said calculation time window comprises:
and calculating the voltage difference value between the voltage of the single battery collected this time and the median of the voltage of each single battery collected this time in the calculation time window aiming at each single battery.
12. An apparatus for determining a state of a battery cell of a vehicle, the apparatus comprising:
the first determination module is configured to determine a calculation time window for calculating the state of the single battery according to the acquired running state of the vehicle;
a first calculation module configured to calculate a voltage difference value of the voltages collected for each of the unit cells within the calculation time window;
a second calculation module configured to calculate a variance value between the voltage difference values in the voltage information;
a second determination module configured to determine a battery cell status of the vehicle based on a magnitude relationship between the variance value and a target variance threshold.
13. The apparatus of claim 12, wherein the first determining means is configured to:
determining the charge and discharge state of the vehicle according to the charge and discharge identification of the single battery, wherein the charge and discharge identification is added according to the current direction of the single battery, and the charge and discharge state represents that the vehicle is in a charge state or a discharge state;
and determining a calculation time window for calculating the state of the single battery according to the acquired charge and discharge state, wherein the calculation time window determined in the discharge state is narrower than the calculation time window determined in the charge state.
14. A computer-readable storage medium, on which a computer program is stored which, when being executed by a processor, carries out the steps of the method according to any one of claims 1 to 11.
15. A vehicle comprising a controller including a memory and a processor, the memory having stored thereon a computer program, wherein the processor, when executing the computer program, performs the steps of the method according to any one of claims 1-11.
CN202111069389.1A 2021-09-13 2021-09-13 Method, device and medium for determining single battery state of vehicle and vehicle Pending CN115447441A (en)

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Cited By (1)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116338474A (en) * 2023-05-29 2023-06-27 力高(山东)新能源技术股份有限公司 Method for judging consistency of sodium ion batteries

Cited By (2)

* Cited by examiner, † Cited by third party
Publication number Priority date Publication date Assignee Title
CN116338474A (en) * 2023-05-29 2023-06-27 力高(山东)新能源技术股份有限公司 Method for judging consistency of sodium ion batteries
CN116338474B (en) * 2023-05-29 2023-08-04 力高(山东)新能源技术股份有限公司 Method for judging consistency of sodium ion batteries

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