CN109001636B - Method and device for determining battery health degree of battery pack, vehicle and computing equipment - Google Patents
Method and device for determining battery health degree of battery pack, vehicle and computing equipment Download PDFInfo
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Abstract
The invention provides a method and a device for determining the battery health degree of a battery pack, a vehicle and a computing device, wherein the determination method comprises the following steps: acquiring the residual capacity variable quantity of a battery pack at intervals of preset time and a capacity value corresponding to the ampere-hour integral value of the battery pack in a time period matched with the residual capacity variable quantity; and determining the current battery health degree of the battery pack according to the residual capacity variable quantity and the capacity value. According to the embodiment of the invention, the battery health degree of the battery pack is calculated and obtained by acquiring the residual electric quantity variation and the capacity value of the battery pack and according to the residual electric quantity variation and the capacity value corresponding to the ampere-hour integral value of the battery pack within the preset time, so that the accuracy of calculating the battery health degree is effectively improved.
Description
Technical Field
The invention relates to the field of batteries, in particular to a method and a device for determining battery health degree of a battery pack, a vehicle and computing equipment.
Background
The problems of energy crisis, environmental pollution, greenhouse effect and the like are increasingly serious, higher energy-saving and emission-reducing requirements are put forward to the automobile industry, and the development of new energy automobiles becomes a necessary trend of automobile industry revolution except that the traditional automobiles are further technically innovated to improve the energy-saving and emission-reducing effects.
The power battery pack is an energy source of the electric automobile, and in order to ensure that the electric automobile can run safely, stably and efficiently, the battery needs to be managed and controlled necessarily. The SOH (state of health) of the battery pack is one of important parameters of the battery system, and the accurate mastering of the SOH of the battery pack can provide basis for detection and diagnosis of the SOH, so that the SOH is helpful for timely understanding the state of health of each single battery of the battery pack, replacing aged single batteries, prolonging the overall service life of the battery pack and further improving the power performance of the electric vehicle. Therefore, the accurate calculation of the SOH has very important practical significance.
There are many SOH calculation strategies in the related art, and the mainstream strategy roughly uses a capacity test method or an internal resistance method, but the SOH calculated by using these methods tends to have low accuracy.
Disclosure of Invention
The embodiment of the invention provides a method and a device for determining the battery health degree of a battery pack, a vehicle and computing equipment, which are used for solving the problem of low accuracy of computing the battery health degree of the battery pack.
In order to solve the above technical problem, an embodiment of the present invention provides a method for determining battery health of a battery pack, which is applied to a vehicle, and the method for determining battery health of a battery pack includes:
acquiring the residual capacity variable quantity of a battery pack at intervals of preset time and a capacity value corresponding to the ampere-hour integral value of the battery pack in a time period matched with the residual capacity variable quantity;
and determining the current battery health degree of the battery pack according to the residual capacity variable quantity and the capacity value.
Further, the determining method further includes:
when the current battery health degree is judged to be effective, storing the residual capacity variable quantity and the capacity value for determining the current battery health degree, and storing the current residual capacity;
when the stored residual capacity variable quantity and the stored capacity value reach the preset quantity, the least square method calculation is carried out according to the stored preset quantity of the residual capacity variable quantity and the stored capacity value, and the battery health degree for output display is determined.
Further, the step of obtaining the remaining capacity variation of the battery pack at preset intervals includes:
acquiring the real-time residual electric quantity of the battery pack at intervals of preset time;
and if the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity stored last time is larger than a preset value, determining the residual electric quantity change quantity according to the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity stored last time.
Further, the determining method further includes:
and when the current battery health degree is judged to be effective, storing the current battery health degree.
Further, the determining method further includes:
if the current battery health degree is judged to be smaller than the first battery health degree, and the absolute value of the difference value between the current battery health degree and the second battery health degree is smaller than a preset value, judging that the current battery health degree is effective;
wherein the first battery health degree is the largest of the stored plurality of current battery health degrees, and the second battery health degree is the smallest of the stored plurality of current battery health degrees.
Further, the step of determining the current battery health degree of the battery pack according to the remaining power variation and the capacity value corresponding to the current capacity includes:
the current battery health degree is obtained through calculation according to a formula SOH1 ═ delta eng/(delta SOC-AH 1), wherein SOH1 represents the current battery health degree, delta eng represents the capacity value, delta SOC represents the residual capacity variation, and AH1 represents a preset battery capacity bit.
Further, the step of obtaining the real-time remaining capacity of the battery pack at preset intervals includes:
detecting the working state of a memory for storing the residual electric quantity at intervals of preset time;
and if the working state indicates that the memory is not in fault currently, acquiring the real-time residual electric quantity of the battery pack.
According to another aspect of the present invention, there is also provided a device for determining battery health of a battery pack, applied to a vehicle, including:
the acquisition module is used for acquiring the residual capacity variable quantity of the battery pack at intervals of preset time and the capacity value corresponding to the ampere-hour integral value of the battery pack in the time period matched with the residual capacity variable quantity;
and the first determining module is used for determining the current battery health degree of the battery pack according to the residual capacity variable quantity and the capacity value corresponding to the current capacity.
Further, the determining device further includes:
the first storage module is used for storing the residual capacity variable quantity and the capacity value for determining the current battery health degree and storing the current residual capacity when the current battery health degree is judged to be effective;
and the second determination module is used for performing least square calculation according to the stored preset quantity of the residual electric quantity variable quantity and the capacity value when the stored residual electric quantity variable quantity and the capacity value reach the preset quantity, and determining the battery health degree for output display.
Further, the obtaining module includes:
the first acquisition unit is used for acquiring the real-time residual electric quantity of the battery pack at intervals of preset time;
and the second obtaining unit is used for determining the residual electric quantity change quantity according to the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity which is stored last time if the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity which is stored last time is larger than a preset value.
Further, the determining device further includes:
and the second storage module is used for storing the current battery health degree when the current battery health degree is judged to be effective.
Further, the determining device further includes:
the judging module is used for judging that the current battery health degree is effective if the current battery health degree is smaller than a first battery health degree and the absolute value of the difference value between the current battery health degree and a second battery health degree is smaller than a second preset value; sending a trigger instruction, and storing the current battery health degree by the second storage module according to the trigger instruction;
wherein the first battery health degree is the largest of the stored plurality of current battery health degrees, and the second battery health degree is the smallest of the stored plurality of current battery health degrees.
Further, the first determining module is specifically configured to:
the current battery health degree is obtained through calculation according to a formula SOH1 ═ delta eng/(delta SOC-AH 1), wherein SOH1 represents the current battery health degree, delta eng represents the capacity value, delta SOC represents the residual capacity variation, and AH1 represents a preset battery capacity bit.
Further, the first obtaining unit is specifically configured to:
detecting the working state of a memory for storing the residual electric quantity at intervals of preset time;
and if the working state indicates that the memory is not in fault currently, acquiring the real-time residual electric quantity of the battery pack.
According to another aspect of the present invention, there is also provided a vehicle including the battery health determination apparatus of the battery pack as described above.
According to another aspect of the present invention, an embodiment of the present invention further provides a computing device, including a processor, a memory, and a computer program stored on the memory and executable on the processor, where the computer program, when executed by the processor, implements the steps of the determination method as described above.
Compared with the prior art, the method, the device, the vehicle and the computing equipment for determining the battery health degree of the battery pack provided by the embodiment of the invention at least have the following beneficial effects:
according to the embodiment of the invention, the battery health degree of the battery pack is calculated and obtained by acquiring the residual electric quantity variation and the capacity value of the battery pack and according to the residual electric quantity variation and the capacity value corresponding to the ampere-hour integral value of the battery pack in the time period matched with the residual electric quantity variation, so that the accuracy of calculating the battery health degree is effectively improved.
Drawings
Fig. 1 is a flowchart of a method for determining battery health of a battery pack according to an embodiment of the present invention;
fig. 2 is a second flowchart of a method for determining battery health of a battery pack according to an embodiment of the invention;
fig. 3 is a schematic structural diagram of a device for determining battery health of a battery pack according to an embodiment of the present invention.
Detailed Description
In order to make the technical problems, technical solutions and advantages of the present invention more apparent, the following detailed description is given with reference to the accompanying drawings and specific embodiments. In the following description, specific details such as specific configurations and components are provided only to help the full understanding of the embodiments of the present invention. Thus, it will be apparent to those skilled in the art that various changes and modifications may be made to the embodiments described herein without departing from the scope and spirit of the invention. In addition, descriptions of well-known functions and constructions are omitted for clarity and conciseness.
It should be appreciated that reference throughout this specification to "one embodiment" or "an embodiment" means that a particular feature, structure or characteristic described in connection with the embodiment is included in at least one embodiment of the present invention. Thus, the appearances of the phrases "in one embodiment" or "in an embodiment" in various places throughout this specification are not necessarily all referring to the same embodiment. Furthermore, the particular features, structures, or characteristics may be combined in any suitable manner in one or more embodiments.
In various embodiments of the present invention, it should be understood that the sequence numbers of the following processes do not mean the execution sequence, and the execution sequence of each process should be determined by its function and inherent logic, and should not constitute any limitation to the implementation process of the embodiments of the present invention.
In the embodiments provided herein, it should be understood that "B corresponding to a" means that B is associated with a from which B can be determined. It should also be understood that determining B from a does not mean determining B from a alone, but may be determined from a and/or other information.
Referring to fig. 1, an embodiment of the present invention provides a method for determining battery health of a battery pack, which is applied to a vehicle, and includes:
the preset time can be set according to actual needs, and in an embodiment of the present invention, the preset time can be selected to be 8 to 12 minutes. Here, the time period to which the remaining power variation amount is matched is explained as follows, for example, the time to obtain the current remaining power a is a, the time is compared with the current remaining power B when the time is B, and the remaining power variation amount | a-B | is obtained, where the capacity value to be obtained here is a capacity value corresponding to the ampere-hour integral value in the time period from the time B to the time a, that is, the variation amount of the battery capacity in the time period, where the current remaining power B to be compared may be the remaining power stored last time, the remaining power at power-on is stored from power-on of the entire vehicle, and the remaining power when the obtained remaining power variation amount is greater than the preset value is stored again.
And step 102, determining the current battery health degree of the battery pack according to the residual capacity variable quantity and the capacity value corresponding to the current capacity.
Here, the current battery health degree may be obtained by calculation according to the formula SOH1 ═ Δ eng/(Δ SOC · AH1), where SOH1 represents the current battery health degree, Δ eng represents the capacity value, Δ SOC represents the remaining capacity change amount, and AH1 represents a preset battery capacity bit.
According to the embodiment of the invention, the battery health degree of the battery pack is calculated and obtained by acquiring the residual electric quantity variation and the capacity value of the battery pack and according to the residual electric quantity variation and the capacity value corresponding to the ampere-hour integral value of the battery pack in the time period matched with the residual electric quantity variation, so that the accuracy of calculating the battery health degree is effectively improved. The ampere-hour integral value represents the battery capacity changed in a preset time period, and the ampere-hour integral value is obtained by integrating the current battery capacity and the nominal capacity. In one embodiment, the ampere-hour integral value may be achieved by: and recording the charging and discharging current of the battery pack, and integrating the charging and discharging current with time to obtain the discharged or charged electric quantity of the battery pack in a preset time period.
In an embodiment of the present invention, the determining method may further include:
when the current battery health degree is judged to be effective, storing the residual capacity variable quantity and the capacity value for determining the current battery health degree, and storing the current residual capacity;
when the stored residual capacity variable quantity and the stored capacity value reach the preset quantity, the least square method calculation is carried out according to the stored preset quantity of the residual capacity variable quantity and the stored capacity value, and the battery health degree for output display is determined.
In the embodiment, the battery health degree for display is obtained by calculating the battery health degree through the least square method according to the preset number of residual capacity variable quantities and capacity values instead of being displayed according to the battery health degree obtained by one-time calculation, and the accuracy of the battery health degree is further improved by calculating according to multiple groups of data. It is understood that the battery health degree obtained by the calculation according to the least square method is not limited to the use of the output display, and may be used for battery detection, battery diagnosis, or the like because the accuracy of the battery health degree is higher.
Wherein calculating SOH using a least squares method may be according to the formula:
The predetermined number is 10 in the embodiment shown in fig. 2, it being understood that the predetermined number is not limited to 10, and may be selected to be 8-15 in one embodiment in order to improve accuracy and reduce the time required for data acquisition.
In an embodiment of the present invention, the step of obtaining the remaining power variation of the battery pack at preset time intervals may include: acquiring the real-time residual electric quantity of the battery pack at intervals of preset time; and if the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity stored last time is larger than a preset value, determining the residual electric quantity change quantity according to the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity stored last time.
In an embodiment, the preset value may be selected to be 8% to 12%, and in the embodiment shown in fig. 2, the preset value is selected to be 10%, that is, when the variation of the remaining power of the battery pack is greater than 10%, the subsequent calculation of the battery health degree is performed, so that the situation that the calculated battery health degree is not changed obviously when the battery variation is low can be effectively reduced. Here, the remaining amount of electricity refers to the proportion of the amount of electricity available in the battery to the nominal capacity.
It is understood that the battery variation in the above is not compared with the remaining power collected last time, for example, when the entire vehicle is powered on, the remaining power of the battery pack is 90%, the remaining power obtained at intervals of a preset time is 85%, 79%, 71%, 65%, which is illustrated as a preset value of 10%, where the remaining power collected for the first time is 5%, less than 10% of the initial remaining power, and the remaining power collected for the second time is 79%, where the remaining power collected for the second time is compared with the initial power when the remaining power variation is calculated, instead of being compared with the remaining power collected for the first time, and similarly, the remaining power collected for the fourth time is 60% of the remaining power which is compared with the remaining power collected for the second time to obtain the variation of the remaining power. It can be understood that, due to the initial particularity, if the current remaining power is not stored yet, the current remaining power is compared with the initial power, or the initial power may also be stored.
In an embodiment of the present invention, the determining method may further include: and when the current battery health degree is judged to be effective, storing the current battery health degree.
Further, the determination method may further include: if the current battery health degree is smaller than a first battery health degree, and the absolute value of the difference value between the current battery health degree and a second battery health degree is smaller than a second preset value, judging that the current battery health degree is effective; and storing the current battery health;
wherein the first battery health degree is the largest of the stored plurality of current battery health degrees, and the second battery health degree is the smallest of the stored plurality of current battery health degrees.
It can be understood that, since a certain loss is caused in the use process of the battery, the battery health degree is only smaller and smaller under normal conditions, and therefore, the current battery health degree is set to be smaller than the maximum battery health degree as a determination condition, and since the sampling period is not very long, the battery loss cannot be suddenly increased, the absolute value of the difference value from the minimum battery health degree is also set to be smaller than the second preset value, so as to prevent abnormal data. Here, the second preset value may be selected to be 0.5-1.5.
In order to prevent the memory abnormality, in an embodiment of the present invention, the step of obtaining the real-time remaining power of the battery pack at intervals of a preset time includes: detecting the working state of a memory for storing the residual electric quantity at intervals of preset time; and if the working state indicates that the memory is not in fault currently, acquiring the real-time residual electric quantity of the battery pack. Further, if the operating state indicates that the memory is currently in failure, the battery health level for output display is determined to be 100. Of course, prompt information such as a current memory abnormality may be displayed.
With continued reference to fig. 2, in an embodiment of the present invention, when obtaining the stored current battery health degree, the remaining power reliability flag and/or the current reliability flag may also be checked, and when the flag indicates that the data is reliable, the subsequent calculation step is performed, and if any flag indicates that the data is abnormal, the battery health degree in the memory is determined to be the battery health degree for display.
It is understood that, when a memory failure is detected or any flag bit indicates data abnormality, a prompt message can be sent to prompt the driver.
The following is an example of the embodiment shown in fig. 2. In the using process of the power battery pack, the SOH value is calculated through the change of the SOC and the change of the used energy, the SOH value is stored once every calculation, when the SOH value is stored for ten times, the display value of the SOH is updated once for a client, and the SOH value can be updated and calculated very stably in the actual using process. The calculation process is as follows:
when the calculated SOH value is within the range, it is compared with other calculated SOH values, and if it is less than or equal to the maximum value and the difference from the minimum value is <1 (this judgment step is for confirming whether data is available), step 207 is executed to store Δ SOC and Δ eng together with sumumber + 1;
and step 210, when the SOH value is stored for more than 10 times, calculating the SOH value by using a least square method and displaying the SOH value to a user. The calculation formula is as follows:
in step 211, Δ SOC and Δ eng are reset to 0. Resetting the delta SOC and the delta eng to be 0 so as to carry out the acquisition calculation of the next week, wherein if the next period starts to power up the whole vehicle, the initial value of the residual electric quantity is the residual electric quantity when the whole vehicle is powered up, and if not, the initial value is the residual electric quantity when the previous period is ended so as to calculate the variation of the residual electric quantity in the following process.
Referring to fig. 3, according to another aspect of the present invention, an embodiment of the present invention further provides a device for determining battery health of a battery pack, applied to a vehicle, including:
according to another aspect of the present invention, there is also provided a device for determining battery health of a battery pack, applied to a vehicle, including:
an obtaining module 301, configured to obtain, at preset intervals, a remaining power variation of a battery pack and a capacity value corresponding to a ampere-hour integral value of the battery pack in a time period matching the remaining power variation;
a first determining module 302, configured to determine a current battery health of the battery pack according to the remaining power variation and the capacity value.
The control device of the embodiment of the invention can realize each process in the method embodiments, has corresponding beneficial effects, and is not repeated here to avoid repetition.
Further, the determining device further includes:
the first storage module is used for storing the residual capacity variable quantity and the capacity value for determining the current battery health degree and storing the current residual capacity when the current battery health degree is judged to be effective;
and the second determination module is used for performing least square calculation according to the stored preset quantity of the residual electric quantity variable quantity and the capacity value when the stored residual electric quantity variable quantity and the capacity value reach the preset quantity, and determining the battery health degree for output display.
Further, the obtaining module 301 includes:
the first acquisition unit is used for acquiring the real-time residual electric quantity of the battery pack at intervals of preset time;
and the second obtaining unit is used for determining the residual electric quantity change quantity according to the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity which is stored last time if the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity which is stored last time is larger than a preset value.
Further, the determining device further includes:
and the second storage module is used for storing the current battery health degree when the current battery health degree is judged to be effective.
Further, the determining device further includes:
the judging module is used for judging that the current battery health degree is effective if the current battery health degree is smaller than a first battery health degree and the absolute value of the difference value between the current battery health degree and a second battery health degree is smaller than a second preset value; sending a trigger instruction, and storing the current battery health degree by the second storage module according to the trigger instruction;
wherein the first battery health degree is the largest of the stored plurality of current battery health degrees, and the second battery health degree is the smallest of the stored plurality of current battery health degrees.
Further, the first determining module 302 is specifically configured to:
the current battery health degree is obtained through calculation according to a formula SOH1 ═ delta eng/(delta SOC-AH 1), wherein SOH1 represents the current battery health degree, delta eng represents the capacity value, delta SOC represents the residual capacity variation, and AH1 represents a preset battery capacity bit.
Further, the first obtaining unit is specifically configured to:
detecting the working state of a memory for storing the residual electric quantity at intervals of preset time;
and if the working state indicates that the memory is not in fault currently, acquiring the real-time residual electric quantity of the battery pack.
According to another aspect of the present invention, there is also provided a vehicle including the battery health determination apparatus of the battery pack as described above.
According to another aspect of the present invention, there is also provided a computing device including a processor, a memory, and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the method for determining battery health of a battery pack as described above.
In summary, according to the embodiment of the invention, the battery health degree of the battery pack is calculated and obtained by acquiring the residual electric quantity variation and the capacity value of the battery pack and according to the residual electric quantity variation and the capacity value corresponding to the ampere-hour integral value of the battery pack in the time period matched with the residual electric quantity variation, so that the accuracy of calculating the battery health degree is effectively improved.
Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed.
It is further noted that, herein, relational terms such as first and second, and the like may be used solely to distinguish one entity or action from another entity or action without necessarily requiring or implying any actual such relationship or order between such entities or actions. Also, the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion.
While the foregoing is directed to the preferred embodiment of the present invention, it will be understood by those skilled in the art that various changes and modifications may be made without departing from the spirit and scope of the invention as defined in the appended claims.
Claims (12)
1. A method of determining a battery health of a battery pack, applied to a vehicle, comprising:
acquiring the residual capacity variable quantity of a battery pack at intervals of preset time and a capacity value corresponding to the ampere-hour integral value of the battery pack in a time period matched with the residual capacity variable quantity;
determining the current battery health degree of the battery pack according to the residual electric quantity variable quantity and the capacity value;
further comprising:
when the current battery health degree is judged to be effective, storing the residual capacity variable quantity and the capacity value for determining the current battery health degree, and storing the current residual capacity;
when the stored residual capacity variable quantity and the stored capacity value reach preset quantities, performing least square method calculation according to the stored residual capacity variable quantity and the stored capacity value of the preset quantities, and determining the battery health degree for output display;
wherein, according to the remaining capacity variation and the capacity value, determining the current battery health degree of the battery pack comprises:
calculating and obtaining the current battery health degree according to a formula SOH1 ═ delta eng/(delta SOC-AH 1), wherein SOH1 represents the current battery health degree, delta eng represents the capacity value, delta SOC represents the residual capacity variation, and AH1 represents a preset battery capacity bit;
the method comprises the following steps of calculating the least square method according to the stored residual capacity variable quantity and the capacity value of the preset quantity, and determining the battery health degree for output display, wherein the step comprises the following steps:
according to the formula
Obtained by calculation, where SOH represents the degree of health of the battery for output display, N represents a preset number, and Δ SOC [ i ]]Represents the variation of the i-th stored residual capacity, delta eng [ i ]]Indicating the capacity value stored the ith time.
2. The determination method according to claim 1, wherein the step of acquiring the amount of change in the remaining capacity of the battery pack at intervals of a preset time comprises:
acquiring the real-time residual electric quantity of the battery pack at intervals of preset time;
and if the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity stored last time is larger than a preset value, determining the residual electric quantity change quantity according to the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity stored last time.
3. The determination method according to claim 1, characterized in that the determination method further comprises:
and when the current battery health degree is judged to be effective, storing the current battery health degree.
4. The determination method according to claim 3, characterized in that the determination method further comprises:
if the current battery health degree is judged to be smaller than the first battery health degree, and the absolute value of the difference value between the current battery health degree and the second battery health degree is smaller than a preset value, judging that the current battery health degree is effective;
wherein the first battery health degree is the largest of the stored plurality of current battery health degrees, and the second battery health degree is the smallest of the stored plurality of current battery health degrees.
5. The method for determining according to claim 2, wherein the step of acquiring the real-time remaining capacity of the battery pack at intervals of a preset time comprises:
detecting the working state of a memory for storing the residual electric quantity at intervals of preset time;
and if the working state indicates that the memory is not in fault currently, acquiring the real-time residual electric quantity of the battery pack.
6. A battery health degree determination device for a battery pack, applied to a vehicle, characterized by comprising:
the acquisition module is used for acquiring the residual capacity variable quantity of the battery pack at intervals of preset time and the capacity value corresponding to the ampere-hour integral value of the battery pack in the time period matched with the residual capacity variable quantity;
the first determining module is used for determining the current battery health degree of the battery pack according to the residual electric quantity variable quantity and the capacity value;
further comprising:
the first storage module is used for storing the residual capacity variable quantity and the capacity value for determining the current battery health degree and storing the current residual capacity when the current battery health degree is judged to be effective;
the second determining module is used for performing least square calculation according to the stored residual capacity variable quantity and the stored capacity value of the preset quantity when the stored residual capacity variable quantity and the stored capacity value reach the preset quantity, and determining the battery health degree for output display;
wherein the first determining module is specifically configured to:
calculating and obtaining the current battery health degree according to a formula SOH1 ═ delta eng/(delta SOC-AH 1), wherein SOH1 represents the current battery health degree, delta eng represents the capacity value, delta SOC represents the residual capacity variation, and AH1 represents a preset battery capacity bit;
wherein the second determining module is specifically configured to:
according to the formula
Obtained by calculation, where SOH represents the degree of health of the battery for output display, N represents a preset number, and Δ SOC [ i ]]Represents the variation of the i-th stored residual capacity, delta eng [ i ]]Indicating the capacity value stored the ith time.
7. The apparatus of claim 6, wherein the obtaining module comprises:
the first acquisition unit is used for acquiring the real-time residual electric quantity of the battery pack at intervals of preset time;
and the second obtaining unit is used for determining the residual electric quantity change quantity according to the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity which is stored last time if the absolute value of the difference value between the real-time residual electric quantity and the current residual electric quantity which is stored last time is larger than a preset value.
8. The determination apparatus according to claim 6, wherein the determination apparatus further comprises:
and the second storage module is used for storing the current battery health degree when the current battery health degree is judged to be effective.
9. The apparatus according to claim 8, wherein the apparatus further comprises:
the judging module is used for judging that the current battery health degree is effective if the current battery health degree is smaller than a first battery health degree and the absolute value of the difference value between the current battery health degree and a second battery health degree is smaller than a second preset value; sending a trigger instruction, and storing the current battery health degree by the second storage module according to the trigger instruction;
wherein the first battery health degree is the largest of the stored plurality of current battery health degrees, and the second battery health degree is the smallest of the stored plurality of current battery health degrees.
10. The apparatus according to claim 7, wherein the first obtaining unit is specifically configured to:
detecting the working state of a memory for storing the residual electric quantity at intervals of preset time;
and if the working state indicates that the memory is not in fault currently, acquiring the real-time residual electric quantity of the battery pack.
11. A vehicle characterized by comprising a battery health determination device of the battery pack according to any one of claims 6 to 10.
12. A computing device comprising a processor, a memory and a computer program stored on the memory and executable on the processor, the computer program, when executed by the processor, implementing the steps of the determination method according to any one of claims 1 to 5.
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| CN110133531B (en) * | 2019-05-24 | 2020-08-21 | 上海钧正网络科技有限公司 | Battery monitoring method and device and electronic equipment |
| CN111308372B (en) * | 2020-02-17 | 2024-03-26 | 宁波吉利汽车研究开发有限公司 | Battery capacity estimation method, device, medium and equipment |
| CN111521945B (en) * | 2020-05-06 | 2022-04-08 | 美智纵横科技有限责任公司 | Battery health state detection method and device, electronic equipment and storage medium |
| CN113690954B (en) * | 2020-05-19 | 2024-09-24 | 北京新能源汽车股份有限公司 | Charging control method and device for storage battery of electric automobile |
| CN112034350B (en) * | 2020-08-28 | 2023-07-14 | 厦门科灿信息技术有限公司 | Battery Pack Health State Prediction Method and Terminal Equipment |
| CN114572056B (en) * | 2022-03-21 | 2023-12-15 | 潍柴动力股份有限公司 | Method, device and system for calculating driving range of electric automobile and storage medium |
| EP4336199A1 (en) | 2022-09-07 | 2024-03-13 | Mahle International GmbH | A method and a system for estimating the state of health of a rechargeable battery, in particular for a vehicle |
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| CN102230953B (en) * | 2011-06-20 | 2013-10-30 | 江南大学 | Method for predicting left capacity and health status of storage battery |
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