CN116224128A - Method and device for detecting capacity health state of battery - Google Patents
Method and device for detecting capacity health state of battery Download PDFInfo
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/16—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to battery ageing, e.g. to the number of charging cycles or the state of health [SoH]
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
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- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
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- G—PHYSICS
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- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/36—Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
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- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
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Abstract
The application relates to the technical field of batteries, and provides a method and a device for detecting the capacity health state of a battery. The method comprises the following steps: inputting the current driving mileage of the vehicle into an increment estimation model to obtain a capacity increment value corresponding to the current driving mileage; obtaining a capacity health state detection result of a battery of the vehicle according to the capacity increment value and the ideal capacity increment value; the incremental pre-estimation model is trained by a plurality of battery capacity labels, wherein the battery capacity labels comprise capacity change data of a battery in a preset voltage interval and the driving mileage of the vehicle when the vehicle is in a parking charge state; the ideal capacity increment value is determined according to an electric quantity increment curve of the normal battery in a charging state in a preset voltage interval. The method for detecting the capacity health state of the battery can improve the accuracy of the detection result of the capacity health state.
Description
Technical Field
The present disclosure relates to the field of battery technologies, and in particular, to a method and an apparatus for detecting a capacity health state of a battery.
Background
As a core component of an electric vehicle, a capacity state of health (SOHC) of the battery is an important factor affecting the performance of the electric vehicle. Currently, for the evaluation of the state of capacity health (SOHC) of a battery, the battery capacity is generally input into a trained AI model to detect the state of capacity health of the battery.
However, in this way, the accurate capacity of the battery needs to be obtained to input the AI model, but due to the complexity of the actual vehicle working condition, the working temperature and the charging and discharging multiplying power of the battery frequently fluctuate, and there are few users who can often and truly perform full charge and discharge once in a real sense when using the vehicle, so that the actual residual capacity of the battery cannot be effectively determined in practical application, and the accuracy of the obtained capacity health state detection result is affected.
Disclosure of Invention
The present application aims to solve at least one of the technical problems existing in the related art. Therefore, the method for detecting the capacity health state of the battery can improve the accuracy of the detection result of the capacity health state.
The application also provides a device for detecting the capacity health state of the battery.
The application also provides electronic equipment.
The present application also proposes a computer-readable storage medium.
The application also proposes a vehicle.
The method for detecting the capacity health state of the battery according to the embodiment of the first aspect of the application comprises the following steps:
inputting the current driving mileage of the vehicle into an increment estimation model to obtain a capacity increment value corresponding to the current driving mileage;
obtaining a capacity health state detection result of a battery of the vehicle according to the capacity increment value and the ideal capacity increment value;
the increment estimating model is trained by a plurality of battery capacity labels, wherein the battery capacity labels comprise capacity change data of the battery in a preset voltage interval and driving mileage of the vehicle when the vehicle is in a parking charging state;
and the ideal capacity increment value is determined according to an electric quantity increment curve of the normal battery in a charging state in the preset voltage interval.
The capacity increment value corresponding to the current running mileage is determined by inputting the current running mileage of the vehicle into an increment estimation model fitting the corresponding relation between the running mileage and the capacity increment value, so that the capacity health state detection result of the battery of the vehicle is determined according to the capacity increment value and the ideal capacity increment value, the capacity health state detection result of the battery of the vehicle can be determined by acquiring the current running mileage of the vehicle, the accurate capacity of the battery is not required to be acquired, the defect that the capacity health state detection cannot be accurately performed due to the fact that the effective battery capacity cannot be acquired is overcome, and the accuracy of the capacity health state detection result is improved.
According to one embodiment of the present application, further comprising:
obtaining a characteristic peak corresponding to the normal battery according to an electric quantity increment curve of the normal battery in a charging state;
and determining the preset voltage interval according to the characteristic peak.
According to one embodiment of the present application, further comprising:
obtaining a characteristic peak corresponding to the normal battery according to an electric quantity increment curve of the normal battery in a charging state;
and determining the ideal capacity increment value according to the area of the characteristic peak.
According to one embodiment of the present application, further comprising:
determining that the vehicle enters a parking charging state, and acquiring capacity increment data of the battery according to a preset voltage step length;
obtaining capacity change data of the battery in a preset voltage interval according to each target capacity increment data of which the corresponding voltage value is in the preset voltage interval in each capacity increment data;
and obtaining the battery capacity label according to the capacity change data and the vehicle mileage when the vehicle enters a parking charging state.
According to an embodiment of the present application, according to each target capacity increment data in the preset voltage interval, where the corresponding voltage value is in the preset voltage interval, obtaining capacity change data of the battery in the preset voltage interval includes:
determining that the voltage interval corresponding to the parking charge state comprises the preset voltage interval, and obtaining capacity change data of the battery in the preset voltage interval according to each target capacity increment data, in which the corresponding voltage value is in the preset voltage interval, in each capacity increment data.
According to one embodiment of the present application, further comprising:
and determining that the voltage interval corresponding to the parking charge state does not comprise the preset voltage interval, and deleting the capacity increment data.
According to one embodiment of the present application, further comprising:
and performing linear regression processing on each battery capacity label to obtain the increment estimation model.
A capacity state of health detection apparatus of a battery according to an embodiment of a second aspect of the present application includes:
the capacity increment estimating module is used for inputting the current driving mileage of the vehicle into the increment estimating model to obtain a capacity increment value corresponding to the current driving mileage;
the capacity state detection module is used for obtaining a capacity health state detection result of the battery of the vehicle according to the capacity increment value and the ideal capacity increment value;
the increment estimating model is trained by a plurality of battery capacity labels, wherein the battery capacity labels comprise capacity change data of the battery in a preset voltage interval and driving mileage of the vehicle when the vehicle is in a parking charging state;
and the ideal capacity increment value is determined according to an electric quantity increment curve of the normal battery in a charging state in the preset voltage interval.
An electronic device according to an embodiment of a third aspect of the present application includes a processor and a memory storing a computer program, where the processor implements the method for detecting a state of health of a battery according to any of the above embodiments when executing the computer program.
A computer-readable storage medium according to an embodiment of a fourth aspect of the present application has stored thereon a computer program which, when executed by a processor, implements the method for detecting a state of health of a capacity of a battery described in any of the above embodiments.
A vehicle according to an embodiment of a fifth aspect of the present application includes an accelerator pedal and an electronic device as described in the above embodiments.
The above technical solutions in the embodiments of the present application have at least one of the following technical effects:
the capacity increment value corresponding to the current running mileage is determined by inputting the current running mileage of the vehicle into an increment estimation model fitting the corresponding relation between the running mileage and the capacity increment value, so that the capacity health state detection result of the battery of the vehicle is determined according to the capacity increment value and the ideal capacity increment value, the capacity health state detection result of the battery of the vehicle can be determined by acquiring the current running mileage of the vehicle, the accurate capacity of the battery is not required to be acquired, the defect that the capacity health state detection cannot be accurately performed due to the fact that the effective battery capacity cannot be acquired is overcome, and the accuracy of the capacity health state detection result is improved.
Drawings
For a clearer description of the present application or of the prior art, the drawings that are used in the description of the embodiments or of the prior art will be briefly described, it being apparent that the drawings in the description below are some embodiments of the present application, and that other drawings may be obtained from these drawings without inventive effort for a person skilled in the art.
Fig. 1 is a schematic flow chart of a method for detecting a state of health of a battery according to an embodiment of the present disclosure;
fig. 2 is a second flow chart of a method for detecting a state of health of a battery according to an embodiment of the present disclosure;
fig. 3 is a third flow chart of a method for detecting a state of health of a battery according to an embodiment of the present disclosure;
fig. 4 is a fourth flowchart of a method for detecting a state of health of a battery according to an embodiment of the present disclosure;
fig. 5 is a schematic structural diagram of a device for detecting a state of health of a battery according to an embodiment of the present application;
fig. 6 is a schematic structural diagram of an electronic device according to an embodiment of the present application.
Detailed Description
For the purposes of making the objects, technical solutions and advantages of the present application more apparent, the technical solutions in the present application will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present application, and it is apparent that the described embodiments are some, but not all, embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art based on the embodiments herein without making any inventive effort, are intended to be within the scope of the present application.
The method and apparatus for detecting the state of health of the battery according to the embodiments of the present application will be described and illustrated in detail below by way of several specific embodiments.
In an embodiment, a method for detecting a state of health of a battery is provided, and the method is applied to a server for detecting the state of health of the battery. The server may be an independent server or a server cluster formed by a plurality of servers, and may also be a cloud server for providing cloud services, cloud databases, cloud computing, cloud functions, cloud storage, network services, cloud communication, middleware services, domain name services, security services, CDNs, basic cloud computing services such as big data and artificial intelligent sampling point devices, and the like.
As shown in fig. 1, the method for detecting the capacity health state of a battery according to the present embodiment includes:
102, obtaining a capacity health state detection result of a battery of the vehicle according to the capacity increment value and the ideal capacity increment value;
the increment estimating model is trained by a plurality of battery capacity labels, wherein the battery capacity labels comprise capacity change data of the battery in a preset voltage interval and driving mileage of the vehicle when the vehicle is in a parking charging state;
and the ideal capacity increment value is determined according to an electric quantity increment curve of the normal battery in a charging state in the preset voltage interval.
In some embodiments, the server may be communicatively coupled to a BMS (Battery Management System ) and a VCU (Vehicle Control Unit, vehicle controller) of the vehicle to receive battery data uploaded by the BMS and the current range of the vehicle uploaded by the VCU in real time. After the current driving mileage of the vehicle is obtained, the current driving mileage can be input into an increment estimated model trained by a plurality of battery capacity labels to obtain a capacity increment value corresponding to the current driving mileage. The battery capacity label comprises capacity change data of the battery in a preset voltage interval and the driving mileage of the vehicle when the vehicle is in a parking charge state. For example, the battery capacity label may be (S, Q), S representing a driving range of the vehicle in a stopped state of charge, Q representing capacity change data of the battery in a preset voltage interval when the vehicle is in the stopped state of charge. The preset voltage interval can be set according to actual conditions.
After each battery capacity label is obtained, fitting of the relation between the vehicle driving mileage and the battery capacity increment can be carried out on each battery capacity label, for example, fitting is carried out through machine learning, neural network, deep learning and the like, so that an increment estimation model for representing the characteristic relation between the vehicle driving mileage and the battery capacity increment is obtained. Thus, after the increment estimation model is obtained, the current driving mileage of the vehicle is input into the increment estimation model, so that the capacity increment value Q corresponding to the current driving mileage is obtained.
After obtaining the capacity increment value Q, the capacity increment value Q and the ideal capacity increment value Q can be obtained initial To obtain the current battery capacity state of health SOHC of the battery. Namely:
sohc=capacity increment value Q/ideal capacity increment value Q initial
The determination of the ideal capacity increment value may be that a normal battery whose battery capacity health state is determined to be normal, for example, a battery before loading is charged to obtain an electric quantity increment curve of the normal battery in a preset voltage interval, and then the electric quantity increment curve is derived, so that the obtained area can be represented as the ideal capacity increment value. The normal battery is the same as the battery model and the capacity of the battery for detecting the subsequent capacity health state.
The capacity increment value corresponding to the current running mileage is determined by inputting the current running mileage of the vehicle into an increment estimation model fitting the corresponding relation between the running mileage and the capacity increment value, so that the capacity health state detection result of the battery of the vehicle is determined according to the capacity increment value and the ideal capacity increment value, the capacity health state detection result of the battery of the vehicle can be determined by acquiring the current running mileage of the vehicle, the accurate capacity of the battery is not required to be acquired, the defect that the capacity health state detection cannot be accurately performed due to the fact that the effective battery capacity cannot be acquired is overcome, and the accuracy of the capacity health state detection result is improved.
In some embodiments, as shown in fig. 2, the determining of the preset voltage interval includes:
In some embodiments, the normal battery may be first subjected to a charging test, and then the voltage V of the normal battery in the constant current charging stage and the charged capacity Q of the battery are obtained in real time through the BMS, so as to calculate the formula based on the capacity increment curve:
to obtain the electric quantity increment curve of the battery in the charged state. The capacity Q charged by the battery can be obtained by ampere-hour integration of the current. After the capacity increment curve is obtained, the capacity increment curve can be used as a characteristic peak corresponding to a normal battery, and then the characteristic peak of the capacity increment curve or a voltage interval corresponding to the highest main peak in the characteristic peaks is extracted to be used as a preset voltage interval. Thus, a preset voltage interval having a strong correlation with the capacity increment of the battery can be extracted.
According to the electric quantity increment curve of the normal battery in the charging state, a characteristic peak corresponding to the normal battery is obtained, a preset voltage interval is determined according to the characteristic peak, the obtained preset voltage interval has strong correlation with the capacity increment of the battery, the battery capacity label determined by the preset voltage interval is made to be more representative, the confidence of an increment estimation model is improved, and the accuracy of a capacity health state detection result is further improved.
In some embodiments, as shown in fig. 3, the determination of the ideal capacity increment value includes:
In some embodiments, the normal battery may be first subjected to a charging test, and then the voltage V of the normal battery in the constant current charging stage and the charged capacity Q of the battery are obtained in real time through the BMS, so as to calculate the formula based on the capacity increment curve:
to obtain the charging state of the batteryAnd (3) a power increment curve in a state. After the capacity increment curve is obtained, the capacity increment curve can be used as a characteristic peak corresponding to a normal battery, and then the characteristic peak or the highest main peak in the characteristic peaks is derived to extract the characteristic peak or the Area of the highest main peak as a characteristic independent variable, so that the Area of the highest main peak is used for obtaining the capacity increment curve according to the formula: q (Q) initial =f (Area), resulting in an ideal capacity increment value Q initial . In this way, an ideal capacity increment value indicating that the state of capacity health of the battery is normal can be extracted.
According to the electric quantity increment curve of the normal battery in the charging state, a characteristic peak corresponding to the normal battery is obtained, and an ideal capacity increment value is determined according to the area of the characteristic peak, so that the obtained ideal capacity increment value can effectively indicate that the capacity health state of the battery is normal, and the confidence level of a capacity health state detection result of the battery is improved by using the ideal capacity increment value in the follow-up process.
In some embodiments, as shown in fig. 4, the acquisition of the battery capacity label includes;
step 401, determining that the vehicle enters a parking charge state, and acquiring capacity increment data of the battery according to a preset voltage step length;
step 402, obtaining capacity change data of the battery in a preset voltage interval according to each target capacity increment data of which the corresponding voltage value is in the preset voltage interval in each capacity increment data;
and step 403, obtaining the battery capacity label according to the capacity change data and the vehicle mileage when the vehicle enters a parking charging state.
In some embodiments, the server may receive the current state of the vehicle in real time through the BMS of the vehicle. In the running process of the real vehicle, when the vehicle state received by the server slave BMS is that the vehicle is in a non-parking charging state, the server can slowly take the cycle, such as the cycle with the duration of 10S, and the slave BMS receives the data of the battery voltage, the current, the temperature and the like acquired by the server slave BMS. When the vehicle state received by the server from the BMS is the vehicle in a parking charge state, or the server judges that the vehicle is in the parking charge state according to the data received by the slave BMS, the period of receiving the data of the battery voltage, the current, the temperature and the like by the slave BMS is adjusted to be a fast period, such as a period with the duration less than 1S, so that the slave BMS can rapidly receive the data of the battery voltage, the current, the temperature and the like of the battery of the vehicle.
In the event that it is determined that the vehicle is in a parked state of charge, the server begins to record the starting voltage V of the vehicle charge start At the same time according to the preset voltage step
And starting ampere-hour integration of the charging current I to obtain capacity increment data of each voltage step. Alternatively, the vehicle BMS starts recording the vehicle charging start voltage V start At the same time according to the preset voltage step +.>
And starting ampere-hour integration of the charging current I to obtain capacity increment data of each voltage step, and synchronizing the obtained capacity increment data to a server.
The capacity increment data of each voltage step is:
wherein, the liquid crystal display device comprises a liquid crystal display device,
and the capacity increment data corresponding to the nth voltage step is represented.
When the charging is finished, the server or BMS records the charging finish voltage as V end Thus, each capacity increment data [ Q1, Q2, …, qn ] of the whole parking charging process can be obtained]Wherein
。
After each capacity increment data [ Q1, Q2, …, qn ] is obtained, each target capacity increment data with a corresponding voltage value belonging to the preset voltage interval [ V1, V2] can be extracted from each capacity increment data [ Q1, Q2, …, qn ] according to the preset voltage interval [ V1, V2 ]. And then, superposing the target capacity increment data to obtain the capacity change data of the battery in the preset voltage interval.
After the capacity change data is obtained, the capacity change data and the vehicle mileage when the vehicle enters a parking charging state can be combined into a battery capacity label. Thus, a plurality of battery capacity tags can be extracted through a plurality of battery capacity tag extraction. After the server extracts the plurality of battery capacity tags, the plurality of battery capacity tags may be synchronized to the BMS of the vehicle.
Under the condition that the vehicle is determined to enter a parking charge state, extracting each target capacity increment data of which the corresponding voltage value is in a preset voltage interval from each capacity increment data of the battery obtained according to a preset voltage step length, so as to obtain capacity change data of the battery in the preset voltage interval, and obtaining a battery capacity label according to the capacity change data and the vehicle mileage when the vehicle enters the parking charge state, wherein the obtained battery capacity label can effectively represent the relation between the vehicle mileage and the battery capacity increment, and the confidence degree of determining the capacity increment value by using the vehicle mileage is improved.
In order to enable the obtained battery capacity label to more accurately correspond to a preset voltage interval, in some embodiments, according to each target capacity increment data of which a corresponding voltage value is in the preset voltage interval in each capacity increment data, obtaining capacity change data of the battery in the preset voltage interval includes:
determining that the voltage interval corresponding to the parking charge state comprises the preset voltage interval, and obtaining capacity change data of the battery in the preset voltage interval according to each target capacity increment data, in which the corresponding voltage value is in the preset voltage interval, in each capacity increment data.
In some embodiments, the vehicle charging start voltage V may be based on start And voltage V at the end of charging end Determining stopVoltage interval V corresponding to vehicle charging state start ,V end ]Then by judging whether V1 is more than or equal to V start And V2 is less than or equal to V end To determine the voltage interval V start ,V end ]Whether or not to include a preset voltage interval [ V1, V2]]. If V1 is greater than or equal to V start And V2 is less than or equal to V end Then the voltage interval V corresponding to the parking charge state is indicated start ,V end ]Comprises preset voltage intervals V1, V2]I.e. the current parking charge covers the preset voltage intervals [ V1, V2]]. In the voltage interval [ V ] corresponding to the determined parking charge state start ,V end ]Comprises preset voltage intervals V1, V2]Then according to the preset voltage interval V1, V2]From the capacity increment data [ Q1, Q2, …, qn ]]Extracting that the corresponding voltage value belongs to a preset voltage interval V1, V2]Target capacity increment data [ Q (V1), … Q (V2)]So as to obtain capacity change data of the battery in a preset voltage interval as Q=Q (V1) + … +Q (V2). Thus, a battery capacity tag (S, Q) is obtained based on the capacity change data Q and the vehicle mileage S when the vehicle enters a stopped state of charge.
After the voltage interval corresponding to the parking charge state is determined to comprise the preset voltage interval, according to each target capacity increment data in which the corresponding voltage value is in the preset voltage interval in each capacity increment data, capacity change data of the battery in the preset voltage interval are obtained, so that the obtained capacity change data can correspond to the complete preset voltage interval, and the reliability of the battery capacity label obtained by using the capacity change data subsequently is improved.
In some embodiments, if V1 < V start Or V2 > V end And the voltage interval corresponding to the parking charge state does not comprise the preset voltage interval. At this time, in order to avoid that the capacity change data obtained later cannot completely cover the preset voltage interval, so as to influence the credibility of the battery capacity label obtained later, deleting the capacity increment data.
After each battery capacity label is obtained, each battery capacity label can be used for training to obtain an increment estimation model for representing the internal relation between the vehicle mileage and the battery capacity increment. In order to improve the accuracy of the obtained incremental estimation model, in some embodiments, linear regression processing may be performed on each battery capacity label to obtain the incremental estimation model.
For example, after each battery capacity label is obtained, the mileage-capacity increment relation may be fitted based on the least square method. The relationship model of the capacity increment Q and the mileage S is assumed to be:
wherein a, b are coefficients to be fitted. According to the least square method principle, it is possible to obtain:
where m is the number of battery capacity labels (S, Q).
In this way, the coefficients a and b to be fitted can be obtained through linear regression processing, so that the relationship model for determining the coefficients a and b to be fitted is used as an incremental estimation model.
After the increment estimation model is obtained, the current running mileage of the vehicle can be input into the increment estimation model to obtain the capacity increment value of the vehicle under the current running mileage, and the ideal capacity increment value is combined at the moment to obtain the detection result of the capacity health state of the battery of the vehicle, wherein the detection result is as follows:
sohc=the capacity increment value corresponding to the current driving range/the ideal capacity increment value.
After the capacity state of health detection result of the battery of the vehicle is obtained, the capacity state of health detection result may be synchronized to the BMS of the vehicle. In the method for detecting the capacity health state of the battery in each embodiment, the data such as the voltage and the current of the vehicle are collected by the BMS of the vehicle and are synchronized to the server, the operation of the capacity health state detection result is carried out by the server by utilizing the data transmitted by the BMS, so that the real-time advantage of the data obtained by the BMS and the storage space and the calculation force advantage of the server are fully combined to carry out cooperative processing on the capacity health state detection process of the battery, and the capacity health state detection efficiency of the battery is improved.
The following describes a device for detecting the state of health of the battery provided in the present application, and the device for detecting the state of health of the battery described below and the method for detecting the state of health of the battery described above may be referred to correspondingly to each other.
In one embodiment, as shown in fig. 5, there is provided a capacity state of health detection apparatus of a battery, including:
the capacity increment estimating module 210 is configured to input a current driving distance of a vehicle into an increment estimating model to obtain a capacity increment value corresponding to the current driving distance;
a capacity state detection module 220, configured to obtain a capacity health state detection result of the battery of the vehicle according to the capacity increment value and the ideal capacity increment value;
the increment estimating model is trained by a plurality of battery capacity labels, wherein the battery capacity labels comprise capacity change data of the battery in a preset voltage interval and driving mileage of the vehicle when the vehicle is in a parking charging state;
and the ideal capacity increment value is determined according to an electric quantity increment curve of the normal battery in a charging state in the preset voltage interval.
The capacity increment value corresponding to the current running mileage is determined by inputting the current running mileage of the vehicle into an increment estimation model fitting the corresponding relation between the running mileage and the capacity increment value, so that the capacity health state detection result of the battery of the vehicle is determined according to the capacity increment value and the ideal capacity increment value, the capacity health state detection result of the battery of the vehicle can be determined by acquiring the current running mileage of the vehicle, the accurate capacity of the battery is not required to be acquired, the defect that the capacity health state detection cannot be accurately performed due to the fact that the effective battery capacity cannot be acquired is overcome, and the accuracy of the capacity health state detection result is improved.
In one embodiment, the capacity delta estimation module 210 is further configured to:
obtaining a characteristic peak corresponding to the normal battery according to an electric quantity increment curve of the normal battery in a charging state;
and determining the preset voltage interval according to the characteristic peak.
In one embodiment, the capacity delta estimation module 210 is further configured to:
obtaining a characteristic peak corresponding to the normal battery according to an electric quantity increment curve of the normal battery in a charging state;
and determining the ideal capacity increment value according to the area of the characteristic peak.
In one embodiment, the capacity delta estimation module 210 is further configured to:
determining that the vehicle enters a parking charging state, and acquiring capacity increment data of the battery according to a preset voltage step length;
obtaining capacity change data of the battery in a preset voltage interval according to each target capacity increment data of which the corresponding voltage value is in the preset voltage interval in each capacity increment data;
and obtaining the battery capacity label according to the capacity change data and the vehicle mileage when the vehicle enters a parking charging state.
In one embodiment, the capacity increment estimation module 210 is specifically configured to:
determining that the voltage interval corresponding to the parking charge state comprises the preset voltage interval, and obtaining capacity change data of the battery in the preset voltage interval according to each target capacity increment data, in which the corresponding voltage value is in the preset voltage interval, in each capacity increment data.
In one embodiment, the capacity delta estimation module 210 is further configured to:
and determining that the voltage interval corresponding to the parking charge state does not comprise the preset voltage interval, and deleting the capacity increment data.
In one embodiment, the capacity delta estimation module 210 is further configured to:
and performing linear regression processing on each battery capacity label to obtain the increment estimation model.
Fig. 6 illustrates a physical schematic diagram of an electronic device, as shown in fig. 6, which may include: processor 810, communication interface (Communication Interface) 820, memory 830, and communication bus 840, wherein processor 810, communication interface 820, memory 830 accomplish communication with each other through communication bus 840. The processor 810 may invoke a computer program in the memory 830 to perform a method of detecting a state of capacity health of a battery, including, for example:
inputting the current driving mileage of the vehicle into an increment estimation model to obtain a capacity increment value corresponding to the current driving mileage;
obtaining a capacity health state detection result of a battery of the vehicle according to the capacity increment value and the ideal capacity increment value;
the increment estimating model is trained by a plurality of battery capacity labels, wherein the battery capacity labels comprise capacity change data of the battery in a preset voltage interval and driving mileage of the vehicle when the vehicle is in a parking charging state;
and the ideal capacity increment value is determined according to an electric quantity increment curve of the normal battery in a charging state in the preset voltage interval.
Further, the logic instructions in the memory 830 described above may be implemented in the form of software functional units and may be stored in a computer-readable storage medium when sold or used as a stand-alone product. Based on such understanding, the technical solution of the present application may be embodied essentially or in a part contributing to the prior art or in a part of the technical solution, in the form of a software product stored in a storage medium, including several 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 methods of the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a random access Memory (RAM, random Access Memory), a magnetic disk, or an optical disk, or other various media capable of storing program codes.
In another aspect, embodiments of the present application further provide a storage medium, where the storage medium includes a computer program, where the computer program may be stored on a non-transitory computer readable storage medium, and when the computer program is executed by a processor, the computer is capable of executing the method for detecting a capacity health state of a battery provided in the foregoing embodiments, for example, including:
inputting the current driving mileage of the vehicle into an increment estimation model to obtain a capacity increment value corresponding to the current driving mileage;
obtaining a capacity health state detection result of a battery of the vehicle according to the capacity increment value and the ideal capacity increment value;
the increment estimating model is trained by a plurality of battery capacity labels, wherein the battery capacity labels comprise capacity change data of the battery in a preset voltage interval and driving mileage of the vehicle when the vehicle is in a parking charging state;
and the ideal capacity increment value is determined according to an electric quantity increment curve of the normal battery in a charging state in the preset voltage interval.
The apparatus embodiments described above are merely illustrative, wherein elements illustrated as separate elements may or may not be physically separate, and elements shown as elements may or may not be physical elements, may be located in one place, or may be distributed over a plurality of network elements. Some or all of the modules may be selected according to actual needs to achieve the purpose of the solution of this embodiment. Those of ordinary skill in the art will understand and implement the present invention without undue burden.
From the above description of the embodiments, it will be apparent to those skilled in the art that the embodiments may be implemented by means of software plus necessary general hardware platforms, or of course may be implemented by means of hardware. Based on this understanding, the foregoing technical solution may be embodied essentially or in a part contributing to the prior art in the form of a software product, which may be stored in a computer readable storage medium, such as ROM/RAM, a magnetic disk, an optical disk, etc., including several instructions for causing a computer device (which may be a personal computer, a server, or a network device, etc.) to execute the method described in the respective embodiments or some parts of the embodiments.
Finally, it should be noted that: the above embodiments are only for illustrating the technical solution of the present application, and are not limiting thereof; although the present application has been described in detail with reference to the foregoing embodiments, it should be understood by those of ordinary skill in the art that: the technical scheme described in the foregoing embodiments can be modified or some technical features thereof can be replaced by equivalents; such modifications and substitutions do not depart from the spirit and scope of the corresponding technical solutions.
Claims (10)
1. A method for detecting a state of charge of a battery, comprising:
inputting the current driving mileage of the vehicle into an increment estimation model to obtain a capacity increment value corresponding to the current driving mileage;
obtaining a capacity health state detection result of a battery of the vehicle according to the capacity increment value and the ideal capacity increment value;
the increment estimating model is trained by a plurality of battery capacity labels, wherein the battery capacity labels comprise capacity change data of the battery in a preset voltage interval and driving mileage of the vehicle when the vehicle is in a parking charging state;
and the ideal capacity increment value is determined according to an electric quantity increment curve of the normal battery in a charging state in the preset voltage interval.
2. The method for detecting a state of capacity health of a battery according to claim 1, further comprising:
obtaining a characteristic peak corresponding to the normal battery according to an electric quantity increment curve of the normal battery in a charging state;
and determining the preset voltage interval according to the characteristic peak.
3. The method for detecting the state of capacity health of a battery according to claim 1 or 2, characterized by further comprising:
obtaining a characteristic peak corresponding to the normal battery according to an electric quantity increment curve of the normal battery in a charging state;
and determining the ideal capacity increment value according to the area of the characteristic peak.
4. The method for detecting the state of capacity health of a battery according to claim 1 or 2, characterized by further comprising:
determining that the vehicle enters a parking charging state, and acquiring capacity increment data of the battery according to a preset voltage step length;
obtaining capacity change data of the battery in a preset voltage interval according to each target capacity increment data of which the corresponding voltage value is in the preset voltage interval in each capacity increment data;
and obtaining the battery capacity label according to the capacity change data and the vehicle mileage when the vehicle enters a parking charging state.
5. The method for detecting a state of health of a battery according to claim 4, wherein obtaining capacity change data of the battery in a preset voltage interval from each target capacity increment data of which a corresponding voltage value is in the preset voltage interval in each capacity increment data comprises:
determining that the voltage interval corresponding to the parking charge state comprises the preset voltage interval, and obtaining capacity change data of the battery in the preset voltage interval according to each target capacity increment data, in which the corresponding voltage value is in the preset voltage interval, in each capacity increment data.
6. The method for detecting a state of health of a battery according to claim 5, further comprising:
and determining that the voltage interval corresponding to the parking charge state does not comprise the preset voltage interval, and deleting the capacity increment data.
7. The method for detecting the state of capacity health of a battery according to claim 1, 2, 5 or 6, characterized by further comprising:
and performing linear regression processing on each battery capacity label to obtain the increment estimation model.
8. A capacity state of health detection device of a battery, characterized by comprising:
the capacity increment estimating module is used for inputting the current driving mileage of the vehicle into the increment estimating model to obtain a capacity increment value corresponding to the current driving mileage;
the capacity state detection module is used for obtaining a capacity health state detection result of the battery of the vehicle according to the capacity increment value and the ideal capacity increment value;
the increment estimating model is trained by a plurality of battery capacity labels, wherein the battery capacity labels comprise capacity change data of the battery in a preset voltage interval and driving mileage of the vehicle when the vehicle is in a parking charging state;
and the ideal capacity increment value is determined according to an electric quantity increment curve of the normal battery in a charging state in the preset voltage interval.
9. An electronic device comprising a processor and a memory storing a computer program, characterized in that the processor, when executing the computer program, implements the method for detecting the state of health of the capacity of a battery according to any one of claims 1 to 7.
10. A vehicle comprising an accelerator pedal and an electronic device as claimed in claim 9.
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