CN118294838A - Battery state of health estimation method, system, vehicle and storage medium - Google Patents
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Abstract
The invention discloses a battery state of health estimation method, a system, a vehicle and a storage medium, and relates to the technical field of power batteries, wherein the method comprises the following steps: according to the actual use condition of the power battery, testing the sample battery to obtain a first test result and a second test result; determining a first health state according to the first test result, wherein the first health state is used for representing the health state of the calendar life of the power battery; determining a second health state according to the second test result, wherein the second health state is used for representing the health state of the cycle life of the power battery; and determining the comprehensive health state according to the first health state and the second health state. The method solves the technical problem that in the prior art, the off-line SOH estimation based on the test data is generally low in accuracy due to the large difference between the working condition of the test data and the actual working condition.
Description
Technical Field
The invention belongs to the technical field of intelligent driving, and particularly relates to a battery health state estimation method, a system, a vehicle and a storage medium.
Background
The accurate estimation of the state of health (SOH) of the power battery is the basis of accurate estimation of battery state estimation information which can be obviously perceived by users such as residual mileage estimation, residual charge time estimation, battery allowable charge and discharge power estimation and the like, the battery SOH accurate estimation can promote user experience, and the SOH estimation method mainly comprises offline SOH estimation based on test data, online estimation based on battery SOC definition and a data-driven SOH estimation method, wherein the offline SOH estimation based on the test data is generally lower in accuracy due to larger difference between the working condition of the test data and the actual working condition.
Disclosure of Invention
The embodiment of the invention provides a battery state of health estimation method, a system, a vehicle and a storage medium, which at least solve the technical problem that in the prior art, the off-line SOH estimation based on test data is generally low in accuracy due to the large difference between the working condition of the test data and the actual working condition.
According to a first aspect of an embodiment of the present invention, there is provided a battery state of health estimation method, including: according to the actual use condition of the power battery, testing the sample battery to obtain a first test result and a second test result, wherein the first test result is obtained by testing based on the calendar life of the sample battery, and the second test result is obtained by testing based on the cycle life of the sample battery; determining a first health state according to the first test result, wherein the first health state is used for representing the health state of the calendar life of the power battery; determining a second health state according to the second test result, wherein the second health state is used for representing the health state of the cycle life of the power battery; the integrated health status is determined based on a first health status and a second health status, wherein the first health status includes a calendar life capacity and a calendar life internal resistance, and the second health status includes a cycle life capacity and a cycle life internal resistance.
Optionally, according to the actual use condition of the power battery, testing the power battery to obtain a first test result and a second test result includes: determining a test temperature, a test charge value, a charge test working condition and a discharge test working condition according to the actual use working condition of the power battery; according to the test temperature and the test charge value, performing an aging test on the sample battery to obtain a first test result; and carrying out charge and discharge testing on the sample battery according to the testing temperature, the charge testing working condition and the discharge testing working condition to obtain a second testing result.
Optionally, determining the first health state according to the first test result includes: acquiring dormancy data of a vehicle, wherein the dormancy data comprise dormancy time, average temperature of a power battery during dormancy, charge value of the power battery during dormancy and comprehensive health state of the power battery before dormancy; determining the accumulated standing time of the vehicle according to the dormancy data; and determining the first health state according to the first test result and the accumulated standing time.
Optionally, determining the accumulated standing time of the vehicle according to the dormancy data includes: determining a conversion coefficient according to the dormancy data; determining standard standing time according to the conversion coefficient and the dormancy time, wherein the standard standing time is used for representing the standing time of the vehicle dormancy at a preset standard working condition; and determining the accumulated standing time according to the standard standing time and the preset standing time, wherein the preset standing time is used for representing all standing time of the vehicle before the current dormancy.
Optionally, determining the second health state according to the second test result includes: acquiring the current working condition of the vehicle; determining the accumulated capacity according to the current working condition and the preset standard working condition; and determining a second health state according to the accumulated capacity and the second test result.
Optionally, determining the cumulative capacity according to the current working condition and the preset standard working condition includes: determining a correction coefficient according to the current working condition and a preset standard working condition; determining the current capacity according to the correction coefficient; and determining the accumulated capacity according to the current capacity and the historical accumulated capacity, wherein the historical accumulated capacity can be obtained from the vehicle.
Optionally, determining the integrated health status based on the first health status and the second health status includes: determining a first attenuation amount according to a preset calendar life and a first health state, wherein the first attenuation amount comprises a calendar life capacity attenuation amount and a calendar life internal resistance attenuation amount; determining a second attenuation amount according to the preset cycle life and a second health state, wherein the second attenuation amount comprises cycle life capacity attenuation amount and cycle life internal resistance attenuation amount; and determining the comprehensive health state according to the preset health state, the first attenuation amount and the second attenuation amount.
According to a second aspect of the embodiment of the present invention, there is also provided a battery state of health estimation system including:
The testing module is used for testing the sample battery according to the actual use condition of the power battery to obtain a first testing result and a second testing result, wherein the first testing result is obtained by testing based on the calendar life of the sample battery, and the second testing result is obtained by testing based on the cycle life of the sample battery; the first determining module is used for determining a first health state according to a first test result, wherein the first health state is used for representing the health state of the calendar life of the power battery; the second determining module is used for determining a second health state according to a second test result, wherein the second health state is used for representing the health state of the cycle life of the power battery; and the third determining module is used for determining the comprehensive health state according to the first health state and the second health state, wherein the first health state comprises a calendar life capacity and a calendar life internal resistance, and the second health state comprises a cycle life capacity and a cycle life internal resistance.
Optionally, the test module is further configured to: determining a test temperature, a test charge value, a charge test working condition and a discharge test working condition according to the actual use working condition of the power battery; according to the test temperature and the test charge value, performing an aging test on the sample battery to obtain a first test result; and carrying out charge and discharge testing on the sample battery according to the testing temperature, the charge testing working condition and the discharge testing working condition to obtain a second testing result.
Optionally, the first determining module is further configured to: acquiring dormancy data of a vehicle, wherein the dormancy data comprise dormancy time, average temperature of a power battery during dormancy, charge value of the power battery during dormancy and comprehensive health state of the power battery before dormancy; determining the accumulated standing time of the vehicle according to the dormancy data; and determining the first health state according to the first test result and the accumulated standing time.
Optionally, the first determining module is further configured to: determining a conversion coefficient according to the dormancy data; determining standard standing time according to the conversion coefficient and the dormancy time, wherein the standard standing time is used for representing the standing time of the vehicle dormancy at a preset standard working condition; and determining the accumulated standing time according to the standard standing time and the preset standing time, wherein the preset standing time is used for representing all standing time of the vehicle before the current dormancy.
Optionally, the second determining module is further configured to: acquiring the current working condition of the vehicle; determining the accumulated capacity according to the current working condition and the preset standard working condition; and determining a second health state according to the accumulated capacity and the second test result.
Optionally, the second determining module is further configured to: determining a correction coefficient according to the current working condition and a preset standard working condition; determining the current capacity according to the correction coefficient; and determining the accumulated capacity according to the current capacity and the historical accumulated capacity, wherein the historical accumulated capacity can be obtained from the vehicle.
Optionally, the third determining module is further configured to: determining a first attenuation amount according to a preset calendar life and a first health state, wherein the first attenuation amount comprises a calendar life capacity attenuation amount and a calendar life internal resistance attenuation amount; determining a second attenuation amount according to the preset cycle life and a second health state, wherein the second attenuation amount comprises cycle life capacity attenuation amount and cycle life internal resistance attenuation amount; and determining the comprehensive health state according to the preset health state, the first attenuation amount and the second attenuation amount.
According to a third aspect of embodiments of the present invention there is also provided a vehicle comprising a memory in which a computer program is stored and a processor arranged to run the computer program to perform the method of estimating a state of health of a battery as described in any of the embodiments of the first aspect above.
According to a fourth aspect of embodiments of the present invention, there is also provided a non-volatile storage medium having a computer program stored therein, wherein the computer program is arranged to perform the battery state of health estimation method described in any of the embodiments of the first aspect above when run on a computer or processor.
In the embodiment of the invention, a sample battery is tested according to the actual use condition of the power battery to obtain a first test result and a second test result, wherein the first test result is obtained by testing based on the calendar life of the sample battery, and the second test result is obtained by testing based on the cycle life of the sample battery; then, determining a first health state according to the first test result, wherein the first health state is used for representing the health state of the calendar life of the power battery; determining a second health state according to the second test result, wherein the second health state is used for representing the health state of the cycle life of the power battery; and finally, determining the comprehensive health state according to the first health state and the second health state, wherein the first health state comprises a calendar life capacity and a calendar life internal resistance, and the second health state comprises a cycle life capacity and a cycle life internal resistance. According to the method, the first test result and the second test result are determined according to the actual use condition of the power battery, the first health state and the second health state are further determined according to the first test result and the second test result, and finally the comprehensive health state of the power battery is determined according to the first health state and the second health state, namely the actual use condition of the power battery is considered when the comprehensive health state of the power battery is considered, so that the technical problem that in the prior art, the off-line SOH estimation based on test data is generally low in accuracy due to the large difference between the test data working condition and the actual working condition can be solved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this specification, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute a limitation on the application. In the drawings:
FIG. 1 is a flow chart of a method of estimating battery state of health according to one embodiment of the present invention;
fig. 2 is a block diagram of a battery state of health estimation system according to one embodiment of the present invention.
Detailed Description
In order that those skilled in the art will better understand the present invention, a technical solution in the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings in which it is apparent that the described embodiments are only some embodiments of the present invention, not all embodiments. All other embodiments, which can be made by those skilled in the art based on the embodiments of the present invention without making any inventive effort, shall fall within the scope of the present invention.
It should be noted that the terms "first," "second," and the like in the description and the claims of the present invention and the above figures are used for distinguishing between similar objects and not necessarily for describing a particular sequential or chronological order. It is to be understood that the terms so used are interchangeable under appropriate circumstances such that the embodiments of the invention described herein are capable of operation in sequences other than those illustrated or otherwise described herein. Furthermore, the terms "comprises," "comprising," and "having," and any variations thereof, are intended to cover a non-exclusive inclusion, such that a process, method, system, article, or apparatus that comprises a list of steps or elements is not necessarily limited to those steps or elements expressly listed but may include other steps or elements not expressly listed or inherent to such process, method, article, or apparatus.
According to an embodiment of the present invention, there is provided an embodiment of a battery state of health estimation method, it being noted that the steps shown in the flowchart of the drawings may be performed in a computer system comprising at least one set of computer executable instructions, and that although a logical order is shown in the flowchart, in some cases the steps shown or described may be performed in an order different from that shown or described herein.
The method embodiments may also be performed in an electronic device, similar control device, or cloud, including a memory and a processor. Taking an electronic device as an example, the electronic device may include one or more processors and memory for storing data. Optionally, the electronic apparatus may further include a communication device for a communication function and a display device. It will be appreciated by those of ordinary skill in the art that the foregoing structural descriptions are merely illustrative and are not intended to limit the structure of the electronic device. For example, the electronic device may also include more or fewer components than the above structural description, or have a different configuration than the above structural description.
The processor may include one or more processing units. For example: the processor may include a processing device of a central processing unit (central processing unit, CPU), a graphics processor (graphics processing unit, GPU), a Digital Signal Processing (DSP) chip, a microprocessor (microcontroller unit, MCU), a programmable logic device (FPGA), a neural network processor (neural-network processing unit, NPU), a tensor processor (tensor processing unit, TPU), an artificial intelligence (ARTIFICIAL INTELLIGENT, AI) type processor, or the like. Wherein the different processing units may be separate components or may be integrated in one or more processors. In some examples, the electronic device may also include one or more processors.
The memory may be used to store a computer program, for example, a computer program corresponding to the battery state of health estimation method in the embodiment of the present invention, and the processor implements the battery state of health estimation method by running the computer program stored in the memory. The memory may include high speed random access memory, and may also include non-volatile memory, such as one or more magnetic storage devices, flash memory, or other non-volatile solid state memory. In some examples, the memory may further include memory remotely located with respect to the processor, which may be connected to the electronic device through a network. Examples of such networks include, but are not limited to, the internet, intranets, local area networks, mobile communication networks, and combinations thereof.
The communication device is used to receive or transmit data via a network. Specific examples of the network described above may include a wireless network provided by a communication provider of the mobile terminal. In one example, the communication device includes a network adapter (network interface controller, NIC) that can connect to other network devices through the base station to communicate with the Internet. In one example, the communication device may be a Radio Frequency (RF) module for communicating with the internet wirelessly. In some embodiments of the present solution, the communication device is configured to connect to a mobile device such as a mobile phone, a tablet, or the like, and may send an instruction to the electronic apparatus through the mobile device.
The display devices may be touch screen type Liquid Crystal Displays (LCDs) and touch displays (also referred to as "touch screens" or "touch display screens"). The liquid crystal display may enable a user to interact with a user interface of the electronic device. In some embodiments, the electronic device has a graphical user interface (GRAPHICAL USER INTERFACE, GUI) with which a user can human interact by touching finger releases and/or gestures on the touch-sensitive surface, executable instructions for performing the human interaction functions described above being configured/stored in one or more processor-executable computer program products or readable storage media.
Fig. 1 is a flowchart of a battery state of health estimation method according to one embodiment of the present invention, as shown in fig. 1, the method comprising the steps of:
step S101, testing a sample battery according to actual use conditions of the power battery to obtain a first test result and a second test result.
The first test result is obtained by testing based on the calendar life of the sample battery, and the second test result is obtained by testing based on the cycle life of the sample battery.
Specifically, in step S101, a calendar life test is performed on the sample battery with reference to an actual usage condition of the power battery, and the obtained first test result is an aging data table corresponding to different SOCs (battery states of charge) at different temperatures.
It can be understood that the aging data table includes the remaining capacity and the internal resistance health status of the power battery corresponding to different test conditions.
Specifically, in step S101, with reference to the actual use condition of the power battery, the sample battery is subjected to charge and discharge tests at different temperatures and under different conditions, so as to obtain a second test result. And the second test result is a charge and discharge data table of the sample battery under different temperatures and different working conditions.
It is understood that the charge-discharge data table includes battery capacity aging data and internal resistance aging data based on cycle life.
Step S102, determining a first health state according to the first test result.
Wherein the first state of health is used to characterize a state of health of a calendar life of the power cell.
Specifically, after the first test result is determined, the state of health of the calendar life of the power battery can be determined according to the first test result and a preset first state of health calculation mode for the power battery needing to be estimated.
Step S103, determining a second health state according to the second test result.
Wherein the second state of health is used to characterize the state of health of the cycle life of the power cell.
Specifically, after the second test result is determined, the state of health of the calendar life of the power battery can be determined according to the second test result and a preset second state of health calculation mode for the power battery needing to be estimated.
Step S104, determining the comprehensive health state according to the first health state and the second health state.
Wherein the first health state includes a calendar life capacity and a calendar life internal resistance and the second health state includes a cycle life capacity and a cycle life internal resistance.
Specifically, the first state of health includes a calendar life capacity and a calendar life internal resistance for a calendar life of the power battery, and the second state of health includes a cycle life capacity and a cycle life internal resistance for a cycle life of the power battery. It should be noted that, after the first health state and the second health state are determined, the comprehensive health state of the power battery is determined according to a preset calculation mode according to the calendar life capacity, the calendar life internal resistance, the cycle life capacity and the cycle life internal resistance.
It is understood that the integrated state of health is used to characterize the internal resistance state of health and the capacity state of health of the power cell based on cycle life and calendar life.
In the embodiment of the invention, a sample battery is tested according to the actual use condition of the power battery to obtain a first test result and a second test result, wherein the first test result is obtained by testing based on the calendar life of the sample battery, and the second test result is obtained by testing based on the cycle life of the sample battery; then, determining a first health state according to the first test result, wherein the first health state is used for representing the health state of the calendar life of the power battery; determining a second health state according to the second test result, wherein the second health state is used for representing the health state of the cycle life of the power battery; and finally, determining the comprehensive health state according to the first health state and the second health state. According to the method, the first test result and the second test result are determined according to the actual use condition of the power battery, the first health state and the second health state are further determined according to the first test result and the second test result, and finally the comprehensive health state of the power battery is determined according to the first health state and the second health state, namely the actual use condition of the power battery is considered when the comprehensive health state of the power battery is considered, so that the technical problem that in the prior art, the off-line SOH estimation based on test data is generally low in accuracy due to the large difference between the test data working condition and the actual working condition can be solved.
Optionally, in step S101, according to the actual use condition of the power battery, the testing the power battery to obtain the first test result and the second test result may include the following steps:
and S1011, determining a test temperature, a test charge value, a charge test working condition and a discharge test working condition according to the actual use working condition of the power battery.
Step S1012, performing an aging test on the sample battery according to the test temperature and the test charge value to obtain a first test result.
Step S1013, according to the test temperature, the charge test working condition and the discharge test working condition, the sample battery is subjected to charge and discharge test to obtain a second test result.
Exemplary ranges of test temperatures for calendar life tests (i.e., the aging test described above) include-20 ℃, -10 ℃,0 ℃,10 ℃, 25 ℃, 45 ℃ temperatures, and battery SOC values (charge values) at each temperature tested include 100% SOC, 80% SOC, 50% SOC, 20% SOC. In order to accelerate the test speed, the test time can be saved by adopting 6 temperature boxes to respectively set more than 6 different temperatures, each temperature is subjected to storage test by using four monomers, and the SOC of the corresponding four sample batteries at each test temperature is respectively adjusted to 100%, 80%, 50% and 20% at normal temperature and then subjected to calendar life aging test in the storage process. In order to improve the data accuracy and prevent abnormal situations of individual batteries, at least 3 sample batteries are used for batteries corresponding to each SOC at each temperature, and because the calendar life aging speeds of batteries with different SOCs at different temperatures are inconsistent, the aged batteries with different SOCs at each temperature are subjected to capacity calibration test and internal resistance test at different time intervals according to experience requirements. And finally obtaining data corresponding to one aging data table for each SOC with different temperatures, and obtaining a first test result.
Exemplary, the sample battery is subjected to charge and discharge tests (cycle life tests) under different working conditions at different temperatures, wherein the range of the test temperatures comprises-20 ℃, -10 ℃,0 ℃,10 ℃, 25 ℃ and 45 ℃, and the test working conditions adopt a charging working condition and a discharging working condition which are similar to the actual working condition of the whole vehicle. The charging working condition is the working condition that the whole vehicle is actually charged at different temperatures, different SOCs or different voltages, the discharging working condition adopts a circulation standard CLTC (CHINA LIGHT-duty VEHICLE TEST CYCLE, chinese light vehicle testing working condition) and comprises low-speed, medium-speed and high-speed working conditions, the working condition is more similar to the actual working condition, and the data obtained by testing are more accurate.
Optionally, in step S102, determining the first health state according to the first test result may include the following steps:
step S1021, sleep data of the vehicle is obtained, wherein the sleep data comprise sleep time, average temperature of the power battery during sleep, charge value of the power battery during sleep and comprehensive health state of the power battery before sleep.
Step S1022, determining the accumulated standing time of the vehicle according to the sleep data.
Step S1023, determining a first health state according to the first test result and the accumulated standing time.
Specifically, when the first health state is determined according to the first test result, the sleep time of the vehicle when the vehicle is powered on, the average temperature of the power battery during sleep, the charge value of the power battery during sleep and the finally determined comprehensive health state of the battery before sleep are obtained.
Specifically, since the temperature of the power battery during the current cycle power-up of the controller of the vehicle is not the average temperature of the power battery during the whole sleep period, the average temperature of the power battery during the sleep period needs to be calculated according to the temperature before the power battery is in sleep, the current temperature during the power-up, and the sleep time, specifically, the weight of two temperature values is determined according to the sleep time, when the sleep time is greater than the threshold value, the battery is considered to be in heat balance in the rest time, at this time, the current temperature weight is higher, the specific determination method of the weight is that the total sleep time minus the threshold value divided by the total sleep time is used as the coefficient of the current temperature, and 1 minus the coefficient is the temperature coefficient before the battery is in sleep; when the sleep time is lower than the threshold value, the temperature weight is higher when the power is off before the sleep, at this time, the specific weight determining method is that the threshold value minus the total sleep time is divided by the threshold value to be used as the temperature coefficient before the battery is in sleep, and the coefficient is subtracted by 1 to be used as the current temperature coefficient, and the threshold value can be obtained by carrying out thermal simulation calibration on the vehicle.
For example, the temperature of the battery before the power-off dormancy of the whole vehicle is 35 ℃, the dormancy time is 5 hours, the time for the battery temperature to reach balance is 1 hour, the temperature when the whole vehicle is electrified in the current cycle is 25 ℃, and the average temperature calculation method after the current electrification is as follows:
1) The coefficient of the current temperature (5-1)/5=0.8;
2) The temperature coefficient before the battery dormancy is 1-0.8=0.2;
3) The average temperature after this power-up is 35 ℃ 0.2+25 ℃ 0.8=27 ℃.
Specifically, after the dormancy data is determined, determining an accumulated standing time according to the dormancy data, wherein the accumulated standing time is used for representing the accumulated standing time of the power battery of the vehicle. After the accumulated standing time is determined, inquiring the first test result according to the accumulated standing time to obtain the residual capacity and the internal resistance health state corresponding to the accumulated standing time, and further taking the residual capacity and the internal resistance health state corresponding to the accumulated standing time as the first health state.
Optionally, in step S1022, determining the accumulated standing time of the vehicle according to the sleep data may include the following steps:
in step S1022a, a conversion coefficient is determined according to the sleep data.
Step S1022b, determining standard standing time according to the conversion coefficient and the dormancy time, wherein the standard standing time is used for representing the standing time of the vehicle dormancy under a preset standard working condition.
Step S1022c, determining the accumulated standing time according to the standard standing time and the preset standing time, wherein the preset standing time is used for representing the whole standing time of the vehicle before the current dormancy.
When the accumulated standing time is determined, firstly, a conversion coefficient is determined according to dormancy data, battery capacity aging data and internal resistance aging data based on calendar service life are obtained through a power battery calendar service life test, namely capacity SOH and internal resistance SOH corresponding to different storage time, aging data of 25 ℃ and 50% SOC are used as basic reference standards, the basic reference standards are respectively compared with aging data of different SOC points at-20 ℃,10 ℃ and 0 ℃,10 ℃, 25 ℃ and 45 ℃ to obtain a corresponding correction coefficient table, namely, one correction coefficient table is corresponding to each temperature and different SOC except 25 ℃ and 50% SOC, and the correction coefficient table is used for equivalently converting the storage time of the corresponding working condition into the storage time of the reference standard working condition of 25 ℃ and 50% SOC.
After the conversion coefficient is determined, the standard standing time is determined according to the conversion coefficient and the dormancy time, and the process is as follows:
The standard standing time not only comprises the resting time, but also comprises the standing time after the whole vehicle is electrified, and the standing time of the power battery in the resting period of the whole vehicle is calculated by multiplying the resting time by a conversion coefficient according to the conversion coefficient to obtain the standing time of the power battery in the resting period; the calculation method of the standing time after the whole vehicle is electrified is the total time when the accumulated current of the current filtering is zero.
Specifically, after the standard standing time is determined, adding the standard standing time and the preset standing time to obtain the accumulated standing time of the power battery.
Optionally, in step S103, determining the second health state according to the second test result may include the following steps:
step S1031, obtaining a current working condition of the vehicle.
Step S1032, determining the accumulated capacity according to the current working condition and the preset standard working condition.
Step S1033, determining a second health state according to the accumulated capacity and the second test result.
Specifically, the accumulated capacity is the accumulated charge-discharge capacity, and the accumulated capacity of the vehicle under the current working condition needs to be converted into the accumulated capacity under the standard working condition. After the accumulated capacity is obtained, the remaining capacity and the internal resistance health state of the cycle life can be inquired from the second test result according to the accumulated capacity.
Optionally, in step S1032, determining the cumulative capacity according to the current working condition and the preset standard working condition may include the following steps:
step S1032a, determining the correction coefficient according to the current working condition and the preset standard working condition.
Step S1032b, determining the current capacity according to the correction coefficient.
In step S1032c, the accumulated capacity is determined according to the current capacity and the historical accumulated capacity, wherein the historical accumulated capacity can be obtained from the vehicle.
Specifically, with the charge and discharge working conditions at 25 ℃ as reference standard, comparing the cycle life test data (second test result) at other temperatures with 25 ℃ to obtain a correction coefficient, wherein the correction coefficient also changes along with SOH, and in the charging and driving process of the whole vehicle under the current working conditions, the current is equivalently converted according to the temperature, the last calculated SOH and the correction coefficient to obtain the accumulated capacity under the 25 ℃ reference standard working conditions, and the accumulated capacity and the historical accumulated capacity are accumulated to obtain the accumulated capacity.
It is understood that the historical accumulated capacity is the accumulated charge-discharge capacity generated by all driving cycles preceding the current driving cycle of the vehicle.
Optionally, in step S104, determining the integrated health status according to the first health status and the second health status may include the following steps:
Step S1041, determining a first attenuation according to the preset calendar life and the first health state, wherein the first attenuation comprises a calendar life capacity attenuation and a calendar life internal resistance attenuation.
Step S1042, determining a second attenuation according to the preset cycle life and the second health state, wherein the second attenuation comprises cycle life capacity attenuation and cycle life internal resistance attenuation.
Step S1043, determining the comprehensive health status according to the preset health status, the first attenuation amount and the second attenuation amount.
Specifically, the calendar life capacity attenuation amount is obtained by subtracting the calendar life-based capacity SOH from the 100% initial capacity SOH (preset calendar life), and the calendar life internal resistance attenuation amount is obtained by subtracting the calendar life-based internal resistance SOH from the 100% initial internal resistance SOH. Wherein the capacity SOH of the calendar life and the internal resistance SOH of the calendar life are determined from the first health state.
The cycle life capacity attenuation amount is obtained by subtracting the cycle life-based capacity SOH from the 100% initial capacity SOH (preset cycle life), and the cycle life internal resistance attenuation amount is obtained by subtracting the cycle life-based internal resistance SOH from the 100% initial internal resistance SOH. Wherein the capacity SOH of the cycle life and the internal resistance SOH of the cycle life are determined from the second health state.
Subtracting the calendar life capacity attenuation from the initial capacity SOH (preset health state) of 100 percent, and subtracting the cycle life capacity attenuation from the calendar life capacity attenuation to obtain the final capacity SOH of the final fused calendar life capacity SOH and cycle life capacity SOH. Subtracting the calendar life internal resistance attenuation from the calendar life internal resistance attenuation by 100% of the initial internal resistance SOH (preset health state) to obtain the final internal resistance SOH of the final integrated calendar life internal resistance SOH and the circulation life internal resistance SOH. And determining the comprehensive health state, namely determining the whole health state of the power battery according to the final capacity SOH and the final internal resistance SOH.
From the description of the above embodiments, it will be clear to a person skilled in the art that the method according to the above embodiments may be implemented by means of software plus a necessary general hardware platform, but of course also by means of hardware, but in many cases the former is a preferred embodiment. Based on such understanding, the technical solution of the present invention may be embodied essentially or in a part contributing to the prior art in the form of a software product stored in a storage medium (e.g. ROM/RAM, magnetic disk, optical disk) comprising instructions for causing a terminal device (which may be a mobile phone, a computer, a server, or a network device, etc.) to perform the method according to the embodiments of the present invention.
In this embodiment, a system for estimating a state of health of a battery is further provided, and the system is used to implement the foregoing embodiments and preferred embodiments, and will not be described again. As used below, the term "module" is a combination of software and/or hardware that can implement a predetermined function. While the means described in the following embodiments are preferably implemented in software, implementation in hardware, or a combination of software and hardware, is also possible and contemplated.
Fig. 2 is a block diagram of a battery state of health estimation system 200 according to one embodiment of the present invention, as shown in fig. 2, exemplified by the battery state of health estimation system 200, comprising: the testing module 201 is configured to test the sample battery according to an actual usage condition of the power battery to obtain a first test result and a second test result, where the first test result is obtained by testing based on a calendar life of the sample battery, and the second test result is obtained by testing based on a cycle life of the sample battery; a first determining module 202 configured to determine a first health status according to a first test result, where the first health status is used to characterize a health status of a calendar life of the power battery; a second determining module 203, configured to determine a second health status according to a second test result, where the second health status is used to represent a health status of a cycle life of the power battery; a third determination module 204 is configured to determine the integrated health status based on a first health status and a second health status, wherein the first health status includes a calendar life capacity and a calendar life internal resistance, and the second health status includes a cycle life capacity and a cycle life internal resistance.
Optionally, the test module 201 is further configured to: determining a test temperature, a test charge value, a charge test working condition and a discharge test working condition according to the actual use working condition of the power battery; according to the test temperature and the test charge value, performing an aging test on the sample battery to obtain a first test result; and carrying out charge and discharge testing on the sample battery according to the testing temperature, the charge testing working condition and the discharge testing working condition to obtain a second testing result.
Optionally, the first determining module 202 is further configured to: acquiring dormancy data of a vehicle, wherein the dormancy data comprise dormancy time, average temperature of a power battery during dormancy, charge value of the power battery during dormancy and comprehensive health state of the power battery before dormancy; determining the accumulated standing time of the vehicle according to the dormancy data; and determining the first health state according to the first test result and the accumulated standing time.
Optionally, the first determining module 202 is further configured to: determining a conversion coefficient according to the dormancy data; determining standard standing time according to the conversion coefficient and the dormancy time, wherein the standard standing time is used for representing the standing time of the vehicle dormancy at a preset standard working condition; and determining the accumulated standing time according to the standard standing time and the preset standing time, wherein the preset standing time is used for representing all standing time of the vehicle before the current dormancy.
Optionally, the second determining module 203 is further configured to: acquiring the current working condition of the vehicle; determining the accumulated capacity according to the current working condition and the preset standard working condition; and determining a second health state according to the accumulated capacity and the second test result.
Optionally, the second determining module 203 is further configured to: determining a correction coefficient according to the current working condition and a preset standard working condition; determining the current capacity according to the correction coefficient; and determining the accumulated capacity according to the current capacity and the historical accumulated capacity, wherein the historical accumulated capacity can be obtained from the vehicle.
Optionally, the third determining module 204 is further configured to: determining a first attenuation amount according to a preset calendar life and a first health state, wherein the first attenuation amount comprises a calendar life capacity attenuation amount and a calendar life internal resistance attenuation amount; determining a second attenuation amount according to the preset cycle life and a second health state, wherein the second attenuation amount comprises cycle life capacity attenuation amount and cycle life internal resistance attenuation amount; and determining the comprehensive health state according to the preset health state, the first attenuation amount and the second attenuation amount.
An embodiment of the invention also provides a vehicle comprising a memory having a computer program stored therein and a processor arranged to run the computer program to perform the battery state of health estimation method described in any of the embodiments above.
Alternatively, in the present embodiment, the processor in the vehicle described above may be arranged to run a computer program to perform the steps of:
step S101, testing a sample battery according to actual use conditions of the power battery to obtain a first test result and a second test result.
Step S102, determining a first health state according to the first test result.
Step S103, determining a second health state according to the second test result.
Step S104, determining the comprehensive health state according to the first health state and the second health state.
Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments and optional implementations, and this embodiment is not described herein.
Embodiments of the present invention also provide a non-volatile storage medium in which a computer program is stored, wherein the computer program is arranged to perform the battery state of health estimation method described in any of the above embodiments when run on a computer or processor.
Alternatively, in the present embodiment, the above-described computer program may be configured to store a computer program for performing the steps of:
step S101, testing a sample battery according to actual use conditions of the power battery to obtain a first test result and a second test result.
Step S102, determining a first health state according to the first test result.
Step S103, determining a second health state according to the second test result.
Step S104, determining the comprehensive health state according to the first health state and the second health state.
Alternatively, specific examples in this embodiment may refer to examples described in the foregoing embodiments and optional implementations, and this embodiment is not described herein.
In the foregoing embodiments of the present invention, the descriptions of the embodiments are emphasized, and for a portion of this disclosure that is not described in detail in this embodiment, reference is made to the related descriptions of other embodiments.
In some embodiments provided by the present application, it should be understood that the disclosed technology may be implemented in other manners. The above-described embodiments of the apparatus are merely exemplary, and the modules may be divided into a logic function, and there may be other division manners in actual implementation, for example, multiple modules or components may be combined or integrated into another system, or some features may be omitted, or not performed. Alternatively, the coupling or direct coupling or communication connection shown or discussed with respect to each other may be through some interface, module or indirect coupling or communication connection of modules, electrical or otherwise.
The modules described as separate components may or may not be physically separate, and components shown as modules may or may not be physical modules, i.e., may be located in one place, or may be distributed over a plurality of modules. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment.
In addition, each functional module in each embodiment of the present invention may be integrated into one processing module, or each module may exist alone physically, or two or more modules may be integrated into one module. The integrated modules may be implemented in hardware or in software functional modules.
The integrated modules, if implemented in the form of software functional modules and sold or used as a stand-alone product, may be stored in a computer readable storage medium. Based on such understanding, the technical solution of the present invention may be embodied essentially or in part or all of the technical solution or in part in the form of a software product stored in a storage medium, including instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to perform all or part of the steps of the method according to the embodiments of the present invention. And the aforementioned storage medium includes: a usb disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a removable hard disk, a magnetic disk, or an optical disk, or other various media capable of storing program codes.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention.
Claims (10)
1. A battery state of health estimation method applied to a vehicle, comprising:
According to the actual use condition of the power battery, testing the sample battery to obtain a first test result and a second test result, wherein the first test result is obtained by testing based on the calendar life of the sample battery, and the second test result is obtained by testing based on the cycle life of the sample battery;
Determining a first health state according to the first test result, wherein the first health state is used for representing the health state of the calendar life of the power battery;
Determining a second health state according to the second test result, wherein the second health state is used for representing the health state of the cycle life of the power battery;
And determining a comprehensive health state according to the first health state and the second health state, wherein the first health state comprises a calendar life capacity and a calendar life internal resistance, and the second health state comprises a cycle life capacity and a cycle life internal resistance.
2. The method of claim 1, wherein the testing the power battery to obtain the first test result and the second test result according to the actual usage condition of the power battery comprises:
Determining a test temperature, a test charge value, a charge test working condition and a discharge test working condition according to the actual use working condition of the power battery;
according to the test temperature and the test charge value, performing an aging test on the sample battery to obtain the first test result;
and carrying out charge and discharge testing on the sample battery according to the test temperature, the charge test working condition and the discharge test working condition to obtain the second test result.
3. The method of claim 1, wherein determining a first state of health based on the first test result comprises:
Acquiring dormancy data of the vehicle, wherein the dormancy data comprises dormancy time, average temperature of a power battery during dormancy, charge value of the power battery during dormancy and comprehensive health state of the power battery before dormancy;
Determining the accumulated standing time of the vehicle according to the dormancy data;
And determining the first health state according to the first test result and the accumulated standing time.
4. The battery state of health estimation method of claim 3, wherein said determining an accumulated rest time of said vehicle based on said sleep data comprises:
Determining a conversion coefficient according to the dormancy data;
determining standard standing time according to the conversion coefficient and the dormancy time, wherein the standard standing time is used for representing the standing time of the vehicle dormancy at the time of preset standard working conditions;
And determining accumulated standing time according to the standard standing time and preset standing time, wherein the preset standing time is used for representing all standing time of the vehicle before the current dormancy.
5. The method of claim 1, wherein determining a second state of health based on the second test result comprises:
Acquiring the current working condition of the vehicle;
determining the accumulated capacity according to the current working condition and the preset standard working condition;
and determining the second health state according to the accumulated capacity and the second test result.
6. The method of claim 5, wherein determining the cumulative capacity based on the current operating condition and the predetermined standard operating condition comprises:
determining a correction coefficient according to the current working condition and the preset standard working condition;
Determining the current capacity according to the correction coefficient;
And determining the accumulated capacity according to the current capacity and the historical accumulated capacity, wherein the historical accumulated capacity is obtained from the vehicle.
7. The method of claim 1, wherein determining a composite state of health from the first state of health and the second state of health comprises:
determining a first attenuation according to the preset calendar life and the first health state, wherein the first attenuation comprises a calendar life capacity attenuation and a calendar life internal resistance attenuation;
Determining a second attenuation according to the preset cycle life and the second health state, wherein the second attenuation comprises cycle life capacity attenuation and cycle life internal resistance attenuation;
And determining the comprehensive health state according to the preset health state, the first attenuation amount and the second attenuation amount.
8. A battery state of health estimation system, for use in a vehicle, comprising:
The testing module is used for testing the sample battery according to the actual use condition of the power battery to obtain a first testing result and a second testing result, wherein the first testing result is obtained by testing based on the calendar life of the sample battery, and the second testing result is obtained by testing based on the cycle life of the sample battery;
A first determining module, configured to determine a first health state according to the first test result, where the first health state is used to represent a health state of a calendar life of the power battery;
The second determining module is used for determining a second health state according to the second test result, wherein the second health state is used for representing the health state of the cycle life of the power battery;
And a third determining module, configured to determine an integrated health state according to the first health state and the second health state, where the first health state includes a calendar life capacity and a calendar life internal resistance, and the second health state includes a cycle life capacity and a cycle life internal resistance.
9. A vehicle comprising a memory and a processor, characterized in that the memory has stored therein a computer program, the processor being arranged to run the computer program to perform the battery state of health estimation method as claimed in any of the preceding claims 1 to 7.
10. A non-volatile storage medium, characterized in that a computer program is stored in the non-volatile storage medium, wherein the computer program is arranged to perform the battery state of health estimation method according to any of the preceding claims 1 to 7 when run on a computer or processor.
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| CN202410361364.6A CN118294838A (en) | 2024-03-27 | 2024-03-27 | Battery state of health estimation method, system, vehicle and storage medium |
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