CN112782587B - Power battery monomer abnormal change detection method and system - Google Patents
Power battery monomer abnormal change detection method and system Download PDFInfo
- Publication number
- CN112782587B CN112782587B CN202011557437.7A CN202011557437A CN112782587B CN 112782587 B CN112782587 B CN 112782587B CN 202011557437 A CN202011557437 A CN 202011557437A CN 112782587 B CN112782587 B CN 112782587B
- Authority
- CN
- China
- Prior art keywords
- cell
- monomer
- voltage change
- voltage
- lowest
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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]
- G01R31/367—Software therefor, e.g. for battery testing using modelling or look-up tables
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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]
- G01R31/385—Arrangements for measuring battery or accumulator variables
- G01R31/387—Determining ampere-hour charge capacity or SoC
- G01R31/388—Determining ampere-hour charge capacity or SoC involving voltage measurements
-
- G—PHYSICS
- G01—MEASURING; TESTING
- 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]
- G01R31/396—Acquisition or processing of data for testing or for monitoring individual cells or groups of cells within a battery
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Secondary Cells (AREA)
- Charge And Discharge Circuits For Batteries Or The Like (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention discloses a method for detecting abnormal change of a power battery monomer, which comprises the following steps: establishing a monomer dynamic data acquisition model, and acquiring voltage data of monomer cells in real time; obtaining the highest monomer voltage and the lowest monomer voltage according to the acquired voltage data; acquiring a voltage curve in a charging and discharging process, and respectively calculating to obtain the highest monomer voltage change, the lowest monomer voltage change, the highest monomer voltage change rate and the lowest monomer voltage change rate according to the charging and discharging processes; comparing the obtained highest monomer voltage change, the lowest monomer voltage change, the monomer highest voltage change rate and the monomer lowest voltage change rate with a set threshold value, and judging whether the monomer battery core has abnormal change or not. And establishing a monomer acquisition model, identifying the highest monomer voltage and the lowest monomer voltage, tracking the change condition in real time in the running or charging process of the vehicle, and carrying out corresponding processing according to the change of the monomer voltage. The abnormal conditions that can appear in the monomer electricity core of quick detection and effective discernment.
Description
Technical Field
The invention belongs to the technical field of power battery detection, and particularly relates to a method and a system for detecting abnormal change of a power battery monomer.
Background
With the rapid development of new energy technology, power batteries are applied more and more in various fields and also widely applied to new energy vehicles, and the safety of the power batteries is more and more important. At present, more safety accidents of new energy vehicles are mainly reflected in charging, power batteries are overcharged and punctured, and electric cores are inflated, bulge, liquid leakage and the like, so that the phenomena of thermal runaway and thermal diffusion of the power battery system, which lead to vehicle spontaneous combustion, and serious economic loss are caused. In addition, the above-mentioned problems also occur in the case where the cell voltage abnormally decreases during the continuous discharge of the battery. At present, the processing means for preventing the power battery from being overcharged is mainly to process the highest monomer voltage of the power battery by detection, the detection mode is single, the consideration is not comprehensive enough, and in addition, the detection mode is to be identified as far as possible under the non-charging state, so that the power battery is prevented from being continuously used under the non-health condition.
When the detection method is designed for the power battery management system, the possible abnormal conditions of the single battery cell can be quickly detected and effectively identified, and a series of safety accidents caused by damage to the single battery cell due to further deterioration of the abnormal conditions are avoided.
Patent with publication number CN 111208445A discloses a power battery abnormal monomer identification method, which comprises the following steps: generating an abnormal judgment threshold value according to the vehicle working condition data set; receiving the working condition data of the single vehicle, and judging the single battery state of the single vehicle according to the working condition data of the single vehicle and the abnormal judgment threshold value; and updating the vehicle working condition data set through the single vehicle working condition data, and updating the abnormity judgment threshold according to the updated vehicle working condition data set. The method is characterized in that the abnormal indexes of the single batteries are calculated only through voltage data of the single batteries, whether the single batteries are abnormal or not is judged through the abnormal indexes of the single batteries and the abnormal judgment threshold value, and comprehensive judgment is not carried out in combination with different stages of charging and discharging. The abnormal conditions that probably appear in the single electric core can not effectual discernment, can not lock the position of monomer.
Disclosure of Invention
In view of the above technical problems, an object of the present invention is to provide a method and a system for detecting abnormal change of a power battery cell, wherein a cell collection model is established, a highest cell voltage and a lowest cell voltage are identified from all cell cores in a battery system, a position of the highest cell and a position of the lowest cell are identified at the same time, a change condition is tracked in real time during a vehicle operation or charging process according to information of the identified cell, and corresponding processing is performed according to a change of the cell voltage. The abnormal conditions that can appear in the monomer electricity core of quick detection and effective discernment.
The technical scheme of the invention is as follows:
a power battery single body abnormal change detection method comprises the following steps:
s01: establishing a monomer dynamic data acquisition model, and acquiring voltage data of monomer cells in real time;
s02: obtaining the highest monomer voltage and the lowest monomer voltage according to the acquired voltage data of the monomer battery cells;
s03: acquiring voltage curves of charging and discharging processes, and respectively calculating to obtain the highest monomer voltage change, the lowest monomer voltage change, the highest monomer voltage change rate and the lowest monomer voltage change rate according to the charging and discharging processes;
s04: comparing the obtained highest monomer voltage change, the lowest monomer voltage change, the monomer highest voltage change rate and the monomer lowest voltage change rate with a set threshold value, and judging whether the monomer battery core has abnormal change or not.
In a preferred technical scheme, in the step S01, the voltage of the cell in the power cell system is collected by the battery management system, and the establishment of the dynamic data collection model of the cell is as follows: v = OCV + I i Multiplying by R, and setting a window range;
wherein V is dynamic voltage, OCV is open-circuit voltage, I i Dynamic current, R internal resistance.
In a preferred technical scheme, in the step S03, the current, the cell voltage, and the road spectrum are obtained according to the charging and discharging process curves, and if it is determined that the vehicle is in a traveling discharge state, the discharging or the charging is determined according to the current direction, and the highest cell voltage change, the lowest cell voltage change, the cell highest voltage change rate, and the cell lowest voltage change rate are respectively calculated according to the discharging or the charging.
In a preferred technical solution, the determining whether the individual electric core has an abnormal change in the step S04 includes:
in the charging process, if the highest cell voltage change is less than 0 or the lowest cell voltage change is less than 0 or the highest cell voltage change rate is less than 0 or the lowest cell voltage change rate is less than 0, judging that the cell is in an unhealthy state, and stopping charging; otherwise, judging that the single battery cell is in a healthy state;
in the discharging process of driving, if the highest monomer voltage change and the lowest monomer voltage change are less than or equal to 0, the pressure difference between the highest monomer voltage change and the lowest monomer voltage change is less than a set value, and the corresponding highest monomer voltage change rate and the corresponding lowest monomer voltage change rate are less than the set value, judging that the monomer battery cell is in a healthy state, otherwise, judging that the monomer battery cell is in an unhealthy state, and controlling to stop running;
in the driving electricity return process, if the highest cell voltage change and the lowest cell voltage change are larger than or equal to 0 and the corresponding highest and lowest cell voltage change rates are smaller than a set value, the cell is judged to be in a healthy state, otherwise, the cell is judged to be in an unhealthy state, and the cell is controlled to stop running.
In a preferred technical scheme, the step S02 further includes obtaining initial monomer cell positions of the highest monomer voltage and the lowest monomer voltage, and the step S03 obtains the monomer cell positions of the highest monomer voltage and the lowest monomer voltage in real time in the charging and discharging processes, compares the monomer cell positions with the initial monomer cell positions, compares the voltage of the monomer cell with a threshold value if the monomer cell positions are different from the initial monomer cell positions, and determines that the monomer cell is abnormal if the voltage of the monomer cell is smaller than the threshold value.
The invention also discloses a system for detecting the abnormal change of the power battery monomer, which comprises the following components:
the single dynamic data acquisition model establishing module is used for establishing a single dynamic data acquisition model and acquiring voltage data of the single battery cell in real time;
the calculation acquisition module is used for obtaining the highest monomer voltage and the lowest monomer voltage according to the acquired voltage data of the monomer battery cores;
the parameter calculation module is used for acquiring voltage curves of the charging and discharging processes and respectively calculating the highest monomer voltage change, the lowest monomer voltage change, the highest monomer voltage change rate and the lowest monomer voltage change rate according to the charging and discharging processes;
and the abnormity judgment module compares the obtained highest monomer voltage change, the lowest monomer voltage change, the monomer highest voltage change rate and the monomer lowest voltage change rate with a set threshold value, and judges whether the monomer battery cell has abnormal change.
In an optimal technical scheme, the voltage of a monomer cell in the power battery system is acquired through a battery management system in the monomer dynamic data acquisition model establishing module, and the monomer dynamic data acquisition model is established by: v = OCV + I i Multiplying by R, and setting a window range;
wherein V is dynamic voltage, OCV is open-circuit voltage, I i Dynamic current, R internal resistance.
In a preferred technical scheme, in the parameter calculation module, the current, the cell voltage and the road spectrum are obtained according to the charging and discharging process curves, if the vehicle is judged to be in a running discharge state, the discharge or the return is judged according to the current direction, and the highest cell voltage change, the lowest cell voltage change, the cell highest voltage change rate and the cell lowest voltage change rate are respectively calculated according to the discharge or the return.
In a preferred technical solution, the determining, in the abnormality determining module, whether the individual electric core has an abnormal change includes:
in the charging process, if the highest cell voltage change is less than 0 or the lowest cell voltage change is less than 0 or the highest cell voltage change rate is less than 0 or the lowest cell voltage change rate is less than 0, judging that the cell is in an unhealthy state, and stopping charging; otherwise, judging that the single battery cell is in a healthy state;
in the discharging process of driving, if the highest monomer voltage change and the lowest monomer voltage change are less than or equal to 0, the pressure difference between the highest monomer voltage change and the lowest monomer voltage change is less than a set value, and the corresponding highest monomer voltage change rate and the corresponding lowest monomer voltage change rate are less than the set value, judging that the monomer battery cell is in a healthy state, otherwise, judging that the monomer battery cell is in an unhealthy state, and controlling to stop running;
in the process of driving and electricity returning, if the highest cell voltage change and the lowest cell voltage change are greater than or equal to 0 and the corresponding highest and lowest cell voltage change rates are smaller than a set value, the cell core is judged to be in a healthy state, otherwise, the cell core is judged to be in an unhealthy state, and the operation is controlled to stop.
In an optimal technical scheme, the calculation and acquisition module further includes an initial monomer electric core position for acquiring a highest monomer voltage and a lowest monomer voltage, the parameter calculation module acquires the monomer electric core positions of the highest monomer voltage and the lowest monomer voltage in real time in a charging and discharging process, compares the monomer electric core positions with the initial monomer electric core position, compares the voltage of the monomer electric core with a threshold value if the monomer electric core positions are different from the initial monomer electric core position, and judges that the monomer electric core is abnormal if the voltage of the monomer electric core is smaller than the threshold value.
Compared with the prior art, the invention has the beneficial effects that:
1. establishing a monomer acquisition model, identifying the highest monomer voltage Vmax and the lowest monomer voltage Vmin from all monomer battery cores in a battery system, identifying the position N1 where the highest monomer is located and the position N2 where the lowest monomer is located, tracking the change condition in real time in the vehicle running or charging process according to the identified information of the battery monomers, and carrying out corresponding processing according to the change of the monomer voltage. The abnormal conditions that can appear in the monomer electricity core can quick detection and effective discernment.
2. And acquiring all monomer voltage data in the system from the dynamic voltage acquisition model, and if the non-highest and lowest monomer voltages change abnormally in the charging and discharging process, fully identifying and locking the monomer positions after confirmation.
Drawings
The invention is further described with reference to the following figures and examples:
FIG. 1 is a schematic block diagram of a power battery cell abnormal change detection system according to the present invention;
FIG. 2 is a flow chart of the method for detecting abnormal changes in a power battery cell according to the present invention;
FIG. 3 is a block diagram of a system for detecting the voltage of a single power battery according to the present invention;
fig. 4 is a data schematic diagram of the cell abnormal protection not adopted in the charging process.
Detailed Description
In order to make the objects, technical solutions and advantages of the present invention more apparent, the present invention is further described in detail with reference to the accompanying drawings in combination with the embodiments. It is to be understood that these descriptions are only illustrative and are not intended to limit the scope of the present invention. Moreover, in the following description, descriptions of well-known structures and techniques are omitted so as to not unnecessarily obscure the concepts of the present invention.
As shown in fig. 1, a power battery cell abnormal change detection system establishes a cell collection model based on voltage collection of each battery cell in a battery system by a battery management system, identifies the highest cell voltage Vmax and the lowest cell voltage Vmin from all the battery cells in the battery system, identifies the position N1 where the highest cell is located and the position N2 where the lowest cell is located, performs real-time tracking of change conditions in a vehicle operation or charging process according to the identified information of the battery cells, and performs corresponding processing according to the change of the cell voltage. The method specifically comprises the following steps:
the single dynamic data acquisition model establishing module is used for establishing a single dynamic data acquisition model and acquiring voltage data of the single battery cell in real time;
the calculation acquisition module is used for acquiring the highest cell voltage and the lowest cell voltage according to the acquired voltage data of the cell;
the parameter calculation module is used for acquiring voltage curves of the charging and discharging processes and respectively calculating the highest monomer voltage change, the lowest monomer voltage change, the highest monomer voltage change rate and the lowest monomer voltage change rate according to the charging and discharging processes;
and the abnormity judgment module compares the obtained highest cell voltage change, the lowest cell voltage change, the cell highest voltage change rate and the cell lowest voltage change rate with a set threshold value to judge whether the cell has abnormal change.
In another embodiment, as shown in fig. 2, a method for detecting abnormal change of power battery cells includes the following steps:
s01: establishing a monomer dynamic data acquisition model, and acquiring voltage data of monomer battery cells in real time;
s02: obtaining the highest monomer voltage and the lowest monomer voltage according to the acquired voltage data of the monomer battery cells;
s03: acquiring voltage curves of charging and discharging processes, and respectively calculating to obtain the highest monomer voltage change, the lowest monomer voltage change, the highest monomer voltage change rate and the lowest monomer voltage change rate according to the charging and discharging processes;
s04: comparing the obtained highest monomer voltage change, the lowest monomer voltage change, the monomer highest voltage change rate and the monomer lowest voltage change rate with a set threshold value, and judging whether the monomer battery core has abnormal change or not.
As shown in fig. 3, in step S01, the voltage of the individual electric core in the power battery system is collected by the battery management system, and the model for collecting the individual dynamic data is established as follows: v = OCV + I i Multiplying by R, and setting a window range;
wherein V is dynamic voltage, OCV is open-circuit voltage, I i Dynamic current, R internal resistance.
In the step S02, the highest monomer voltage Vmax and the lowest monomer voltage Vmin are identified according to the acquired monomer voltage data, positions N1 and N2 of the highest monomer and the lowest monomer are obtained and stored, and the obtained highest monomer voltage and the obtained lowest monomer voltage are updated in real time.
In step S03, the current, the cell voltage, and the road spectrum are obtained according to the voltage curves of the charging and discharging processes, and if it is determined that the vehicle is in a traveling discharge state, the discharge or return is determined according to the current direction, and the highest cell voltage change, the lowest cell voltage change, the highest cell voltage change rate, and the lowest cell voltage change rate are respectively calculated according to the discharge or return.
In the continuous charging process, whether the charging current of the system tends to be stable or the single voltage gradually rises is judged according to the change of the charging current. In the unit time Δ t, the highest cell voltage is changed from V1 to V2, the lowest cell voltage is changed from V3 to V4, and the calculation is performed based on the obtained data: the highest cell voltage change was obtained: Δ Vmax = V2-V1, lowest cell voltage change: Δ Vmin = V4-V3, the monomer highest voltage change rate = Δ Vmax/Δ t, and the monomer lowest voltage change rate = Δ Vmin/Δ t, thereby obtaining a change window.
In the process of driving, because the driving has discharge and feedback, the driving can not be judged according to fixed conditions singly, and needs to be distinguished, so that the delta t of the monomer voltage in unit time is collected, the highest monomer voltage is changed from Vd1 to Vd2, the bulk voltage is changed from Vd3 to Vd4, and the current direction, I, is judged 1 Is an electric discharge, I 2 Judging the calculation condition for power return:
1. warp has I 1 When the discharge is judged by the current, Δ Vdmax = Vd2 to Vd1, the lowest cell voltage change: Δ Vdmin = Vd4-Vd3, the highest voltage change rate of the monomer = Δ Vdmax/Δ t, and the lowest voltage change rate of the monomer = Δ Vdmin/Δ t;
2. warp has I 2 And (3) when the current is judged to return to the power supply, the delta Vdmax = Vd2-Vd1, and the lowest cell voltage change is as follows: Δ Vdmin = Vd4-Vd3, the highest voltage change rate of the monomer = Δ Vdmax/Δ t, and the lowest voltage change rate of the monomer = Δ Vdmin/Δ t;
and obtaining a monomer change window according to the current judgment condition.
The step S04 of determining whether there is an abnormal change in the battery cell includes:
in the charging process, if the highest cell voltage change is less than 0 or the lowest cell voltage change is less than 0 or the highest cell voltage change rate is less than 0 or the lowest cell voltage change rate is less than 0, judging that the cell is in an unhealthy state, and stopping charging; otherwise, judging that the single battery cell is in a healthy state;
in the running discharging process, if the highest cell voltage change and the lowest cell voltage change are less than or equal to 0, the pressure difference between the highest cell voltage change and the lowest cell voltage change is less than a set value, and the corresponding highest cell voltage change rate and the corresponding lowest cell voltage change rate are less than the set value, judging that the cell is in a healthy state, otherwise, judging that the cell is in an unhealthy state, and controlling to stop running;
in the process of driving and electricity returning, if the highest cell voltage change and the lowest cell voltage change are greater than or equal to 0 and the corresponding highest and lowest cell voltage change rates are smaller than a set value, the cell core is judged to be in a healthy state, otherwise, the cell core is judged to be in an unhealthy state, and the operation is controlled to stop.
Step S02 further includes obtaining initial cell locations of the highest cell voltage and the lowest cell voltage, and step S03 obtains the cell locations of the highest cell voltage and the lowest cell voltage in real time during the charging and discharging processes, compares the cell locations with the initial cell locations, compares the voltage of the cell with a threshold if the cell locations are different, and determines that the cell is abnormal if the cell locations are smaller than the threshold.
Specifically, the cell voltage change condition is judged according to the change window value obtained by calculation, and the correlation processing is carried out:
1. judging and processing according to the obtained single voltage change window value, wherein in the process of gun insertion charging, energy is transmitted into the power battery, so that delta Vmax and delta Vmin in the charging process and the corresponding voltage change rate are positive values, otherwise, judging that the battery is in an unhealthy state, immediately stopping charging, and troubleshooting;
2. during the discharging process of a running vehicle, a large pulse current instantly appears in the energy output processing stage of a battery system, when delta Vdmax is less than or equal to 0 and delta Vdmin is less than or equal to 0, namely the pressure difference is less than a set value, and the corresponding highest and lowest monomer change rates are less than the set value, the cell is judged to be in a healthy state, otherwise, the cell is judged to be in an unhealthy state, the cell is controlled to stop running, and the fault problem is eliminated;
3. during the driving power-back process, large pulse feedback current appears when the battery system is judged to be in an energy feedback stage, when delta Vdmax is larger than or equal to 0, delta Vdmin is larger than or equal to 0, and the highest and lowest monomer change rates are smaller than set values, the battery is judged to be in a healthy state, otherwise, the battery is judged to be in an unhealthy state, the battery is controlled to stop running, and fault problems are eliminated;
4. in the process of charging and discharging, the highest and lowest monomer voltages and positions obtained initially according to system electrification are compared, if the voltage of the monomer at other positions suddenly becomes the highest or the lowest and is lower than a serious fault set value, the monomer is judged to be abnormal, charging and discharging are immediately stopped, and fault problem troubleshooting is carried out.
As shown in fig. 4, in a charging process, the highest monomer slowly rises, the lowest monomer starts to fall after slowly rising, and then suddenly and directly falls off, and thermal runaway of the battery cell is caused because no monomer abnormality judgment is adopted.
When the monomer abnormality is processed, the running mode of the vehicle power battery is judged according to the current direction, all the current monomer voltages are collected, the change value delta V and the voltage change rate delta V/delta t of the monomer voltages are calculated, and whether the current power battery is abnormal or not is judged according to the calculated result condition so as to be capable of being recognized and processed as early as possible.
According to the cell abnormality detection method, under the same current condition, the difference between the capacity and the internal resistance of the cells in the power battery system can be identified through the change value delta V of the cell voltage, the faster the delta V changes under the same current indicates that the capacity of the cells is lower and the internal resistance is higher, the battery management system stores relevant data, and the relevant data are used as basic data for comparison and analysis when cell abnormality is judged.
According to the method, the consistency of the current power battery can be analyzed from data according to the established monomer dynamic data acquisition model, and whether the consistency of the power battery is in a better level or not in the current environment can be judged.
It should be understood that the above-described embodiments of the present invention are merely illustrative of or explaining the principles of the invention and are not to be construed as limiting the invention. Therefore, any modification, equivalent replacement, improvement and the like made without departing from the spirit and scope of the present invention should be included in the protection scope of the present invention. Further, it is intended that the appended claims cover all such variations and modifications as fall within the scope and boundary of the appended claims, or the equivalents of such scope and boundary.
Claims (8)
1. A method for detecting abnormal change of a power battery monomer is characterized by comprising the following steps:
s01: establishing a monomer dynamic data acquisition model, and acquiring voltage data of monomer cells in real time;
s02: obtaining the highest monomer voltage and the lowest monomer voltage according to the acquired voltage data of the monomer battery cores;
s03: acquiring voltage curves of the charging and discharging processes, and respectively calculating to obtain the highest monomer voltage change, the lowest monomer voltage change, the highest monomer voltage change rate and the lowest monomer voltage change rate according to the charging and discharging processes;
s04: comparing the obtained highest monomer voltage change, the lowest monomer voltage change, the monomer highest voltage change rate and the monomer lowest voltage change rate with a set threshold value, and judging whether the monomer battery cell has abnormal change or not;
the step S04 of determining whether there is an abnormal change in the cell electric core includes:
in the charging process, if the highest cell voltage change is less than 0 or the lowest cell voltage change is less than 0 or the highest cell voltage change rate is less than 0 or the lowest cell voltage change rate is less than 0, judging that the cell is in an unhealthy state, and stopping charging; otherwise, judging that the single battery cell is in a healthy state;
in the discharging process of driving, if the highest monomer voltage change and the lowest monomer voltage change are less than or equal to 0, the pressure difference between the highest monomer voltage change and the lowest monomer voltage change is less than a set value, and the corresponding highest monomer voltage change rate and the corresponding lowest monomer voltage change rate are less than the set value, judging that the monomer battery cell is in a healthy state, otherwise, judging that the monomer battery cell is in an unhealthy state, and controlling to stop running;
in the process of driving and electricity returning, if the highest cell voltage change and the lowest cell voltage change are greater than or equal to 0 and the corresponding highest and lowest cell voltage change rates are smaller than a set value, the cell core is judged to be in a healthy state, otherwise, the cell core is judged to be in an unhealthy state, and the operation is controlled to stop.
2. The device of claim 1The method for detecting the abnormal change of the single body of the power battery is characterized in that in the step S01, the voltage of the single body battery cell in the power battery system is collected through a battery management system, and a single body dynamic data collection model is established as follows: v = OCV + I i Multiplying by R, and setting a window range;
wherein V is dynamic voltage, OCV is open-circuit voltage, I i Dynamic current, R is internal resistance.
3. The method as claimed in claim 1, wherein in step S03, the current, the cell voltage and the road spectrum are obtained from the voltage curves during charging and discharging, and if it is determined that the vehicle is discharging, the discharging or the charging is determined according to the current direction, and the highest cell voltage change, the lowest cell voltage change, the highest cell voltage change rate and the lowest cell voltage change rate are respectively calculated according to the discharging or the charging.
4. The method for detecting the abnormal change of the power battery cell according to claim 1, wherein the step S02 further includes obtaining an initial cell position of a highest cell voltage and a lowest cell voltage, and the step S03 obtains the cell positions of the highest cell voltage and the lowest cell voltage in real time in a charging and discharging process, compares the cell positions with the initial cell positions, compares the voltage of the cell with a threshold value if the cell positions are different from each other, and determines that the cell is abnormal if the cell positions are smaller than the threshold value.
5. A power battery cell abnormal change detection system is characterized by comprising:
the single dynamic data acquisition model establishing module is used for establishing a single dynamic data acquisition model and acquiring voltage data of the single battery cell in real time;
the calculation acquisition module is used for obtaining the highest monomer voltage and the lowest monomer voltage according to the acquired voltage data of the monomer battery cores;
the parameter calculation module is used for acquiring voltage curves of the charging and discharging processes and respectively calculating the highest monomer voltage change, the lowest monomer voltage change, the highest monomer voltage change rate and the lowest monomer voltage change rate according to the charging and discharging processes;
the abnormity judgment module compares the obtained highest cell voltage change, the lowest cell voltage change, the cell highest voltage change rate and the cell lowest voltage change rate with a set threshold value to judge whether the cell has abnormal change;
judging whether the single battery cell has abnormal changes in the abnormality judgment module comprises:
in the charging process, if the highest cell voltage change is less than 0 or the lowest cell voltage change is less than 0 or the highest cell voltage change rate is less than 0 or the lowest cell voltage change rate is less than 0, judging that the cell is in an unhealthy state, and stopping charging; otherwise, judging that the single battery cell is in a healthy state;
in the running discharging process, if the highest cell voltage change and the lowest cell voltage change are less than or equal to 0, the pressure difference between the highest cell voltage change and the lowest cell voltage change is less than a set value, and the corresponding highest cell voltage change rate and the corresponding lowest cell voltage change rate are less than the set value, judging that the cell is in a healthy state, otherwise, judging that the cell is in an unhealthy state, and controlling to stop running;
in the driving electricity return process, if the highest cell voltage change and the lowest cell voltage change are larger than or equal to 0 and the corresponding highest and lowest cell voltage change rates are smaller than a set value, the cell is judged to be in a healthy state, otherwise, the cell is judged to be in an unhealthy state, and the cell is controlled to stop running.
6. The system for detecting the abnormal change of the single power battery according to claim 5, wherein the single dynamic data acquisition model establishing module acquires the voltage of the single battery cell in the power battery system through the battery management system, and the establishing of the single dynamic data acquisition model is as follows: v = OCV + I i Xr, and setting a window range;
wherein V is dynamic voltage, OCV is open-circuit voltage, I i Dynamic current, R internal resistance.
7. The system for detecting abnormal changes in power battery cells as claimed in claim 5, wherein the parameter calculation module obtains a current, a cell voltage and a road spectrum according to the voltage curves during charging and discharging, determines discharging or charging according to the current direction if it is determined that the vehicle is in driving discharging, and calculates a highest cell voltage change, a lowest cell voltage change, a cell highest voltage change rate and a cell lowest voltage change rate according to the discharging or charging.
8. The system for detecting abnormal changes of power battery cells according to claim 5, wherein the calculation and acquisition module further includes an initial cell location for acquiring a highest cell voltage and a lowest cell voltage, the parameter calculation module acquires the cell locations of the highest cell voltage and the lowest cell voltage in real time during charging and discharging, compares the cell locations with the initial cell location, compares the voltage of the cell with a threshold if the cell locations are different from each other, and determines that the cell is abnormal if the cell locations are smaller than the threshold.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011557437.7A CN112782587B (en) | 2020-12-24 | 2020-12-24 | Power battery monomer abnormal change detection method and system |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202011557437.7A CN112782587B (en) | 2020-12-24 | 2020-12-24 | Power battery monomer abnormal change detection method and system |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN112782587A CN112782587A (en) | 2021-05-11 |
| CN112782587B true CN112782587B (en) | 2023-02-28 |
Family
ID=75752313
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202011557437.7A Active CN112782587B (en) | 2020-12-24 | 2020-12-24 | Power battery monomer abnormal change detection method and system |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN112782587B (en) |
Families Citing this family (6)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN113406515B (en) * | 2021-06-18 | 2022-11-29 | 东莞新能安科技有限公司 | Battery cell detection method and device |
| CN113917343B (en) * | 2021-09-30 | 2023-08-08 | 蜂巢能源科技有限公司 | Battery module state detection method and device, electronic equipment and storage medium |
| CN113884886A (en) * | 2021-10-22 | 2022-01-04 | 深圳市新威尔电子有限公司 | Method for screening abnormal charging and discharging core in battery test production |
| CN114200347B (en) * | 2021-11-30 | 2023-07-18 | 杭州煦达新能源科技有限公司 | Method for detecting abnormal connection of battery cell voltage sampling line in energy storage system |
| CN114415043A (en) * | 2021-12-14 | 2022-04-29 | 中通客车股份有限公司 | Power battery safety state identification method and system |
| CN117054916B (en) * | 2023-07-27 | 2024-06-11 | 小米汽车科技有限公司 | Abnormality detection method and system for power battery and cloud server |
Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002216858A (en) * | 2000-12-28 | 2002-08-02 | Hyundai Motor Co Ltd | Battery fault diagnostic testing method and system |
| CN102148522A (en) * | 2011-05-04 | 2011-08-10 | 柳州五菱汽车有限责任公司 | Storage battery pack control method and system |
| CN105676136A (en) * | 2016-01-14 | 2016-06-15 | 北京新能源汽车股份有限公司 | Fault detection method and device for power battery connecting pieces and management system |
| CN107478946A (en) * | 2016-08-29 | 2017-12-15 | 宝沃汽车（中国）有限公司 | Diagnostic method, system and the vehicle of the monomer voltage collection wire harness of electrokinetic cell |
| DE102016124093A1 (en) * | 2016-12-12 | 2018-06-14 | Borgward Trademark Holdings Gmbh | Method and system for diagnosing cell voltage collection strands of power batteries and vehicle equipped therewith |
| CN108839586A (en) * | 2018-09-19 | 2018-11-20 | 安徽江淮汽车集团股份有限公司 | For the battery control method and system of voltage difference failure |
| CN109541471A (en) * | 2018-11-27 | 2019-03-29 | 安徽江淮汽车集团股份有限公司 | A kind of battery sampling line slap fault diagnosis method |
| CN109856551A (en) * | 2019-01-28 | 2019-06-07 | 蜂巢能源科技有限公司 | Vehicle and its battery method for detecting abnormality and device based on voltage value |
| CN110065394A (en) * | 2019-03-29 | 2019-07-30 | 福建省汽车工业集团云度新能源汽车股份有限公司 | A kind of power battery monomer low-voltage protection method and system |
| CN110880622A (en) * | 2019-10-15 | 2020-03-13 | 江西恒动新能源有限公司 | Equalization control method of battery pack |
| CN112119318A (en) * | 2019-10-09 | 2020-12-22 | 深圳市大疆创新科技有限公司 | Battery detection method, battery, electronic device and storage medium |
-
2020
- 2020-12-24 CN CN202011557437.7A patent/CN112782587B/en active Active
Patent Citations (11)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| JP2002216858A (en) * | 2000-12-28 | 2002-08-02 | Hyundai Motor Co Ltd | Battery fault diagnostic testing method and system |
| CN102148522A (en) * | 2011-05-04 | 2011-08-10 | 柳州五菱汽车有限责任公司 | Storage battery pack control method and system |
| CN105676136A (en) * | 2016-01-14 | 2016-06-15 | 北京新能源汽车股份有限公司 | Fault detection method and device for power battery connecting pieces and management system |
| CN107478946A (en) * | 2016-08-29 | 2017-12-15 | 宝沃汽车（中国）有限公司 | Diagnostic method, system and the vehicle of the monomer voltage collection wire harness of electrokinetic cell |
| DE102016124093A1 (en) * | 2016-12-12 | 2018-06-14 | Borgward Trademark Holdings Gmbh | Method and system for diagnosing cell voltage collection strands of power batteries and vehicle equipped therewith |
| CN108839586A (en) * | 2018-09-19 | 2018-11-20 | 安徽江淮汽车集团股份有限公司 | For the battery control method and system of voltage difference failure |
| CN109541471A (en) * | 2018-11-27 | 2019-03-29 | 安徽江淮汽车集团股份有限公司 | A kind of battery sampling line slap fault diagnosis method |
| CN109856551A (en) * | 2019-01-28 | 2019-06-07 | 蜂巢能源科技有限公司 | Vehicle and its battery method for detecting abnormality and device based on voltage value |
| CN110065394A (en) * | 2019-03-29 | 2019-07-30 | 福建省汽车工业集团云度新能源汽车股份有限公司 | A kind of power battery monomer low-voltage protection method and system |
| CN112119318A (en) * | 2019-10-09 | 2020-12-22 | 深圳市大疆创新科技有限公司 | Battery detection method, battery, electronic device and storage medium |
| CN110880622A (en) * | 2019-10-15 | 2020-03-13 | 江西恒动新能源有限公司 | Equalization control method of battery pack |
Non-Patent Citations (1)
| Title |
|---|
| 基于运行数据的异常电池诊断及实现;李欢;《中国优秀硕士学位论文全文数据库》;20181215;C042-1290 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN112782587A (en) | 2021-05-11 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN112782587B (en) | Power battery monomer abnormal change detection method and system | |
| US8106632B2 (en) | Method for managing a bank of rechargeable batteries using the coup de fouet effect on charging | |
| CN103730702B (en) | A kind of car lithium battery charging method of electric automobile | |
| US8143854B2 (en) | Adjusting method of battery pack and adjusting method of battery pack with controller | |
| CN106443490B (en) | A kind of fault diagnosis system of battery short circuit | |
| CN111175653A (en) | Method for identifying and prejudging capacity 'water-jumping' fault of ternary battery | |
| CN110794316A (en) | Identification and prejudgment method for 'water jump' fault of three-way power battery used in echelon | |
| CN102749588A (en) | Method for fault diagnosis on basis of storage battery state of charge (SOC) and state of health (SOH) | |
| CN110626210A (en) | Identification method for micro short circuit of lithium battery and battery management system | |
| CN111123148B (en) | Method and equipment for judging short circuit in metal secondary battery | |
| CN109823232A (en) | Battery balanced control method, device, battery management system and vehicle | |
| CN110573370B (en) | Apparatus and method for diagnosing battery deterioration | |
| EP4394404A1 (en) | Apparatus and method for diagnosing battery cell | |
| CN112363061A (en) | Thermal runaway risk assessment method based on big data | |
| CN111308382B (en) | Method for quantitatively evaluating capacity imbalance degree of battery system | |
| CN114563721A (en) | Method for detecting abnormal current change of battery system | |
| CN111953033B (en) | Flexible charging control method | |
| CN114675201A (en) | Method and device for determining capacity attenuation rate of power battery system | |
| CN111313110A (en) | Method and system for early warning rapid decline of capacity of ternary battery by gradient utilization | |
| KR102506186B1 (en) | Super capacitor changing system and method performing thereof | |
| CN107340480B (en) | Intelligent automobile storage battery sensor | |
| CN110661041A (en) | Method and device for diagnosing retired power battery | |
| CN113777495A (en) | Lithium battery capacity diving online multi-stage early warning method and system based on characteristic area | |
| CN110745031B (en) | New energy automobile running discharge current calculation method and device | |
| CN117767506B (en) | New energy automobile power adapter power self-adaption method based on data driving |
Legal Events
| Date | Code | Title | Description |
|---|---|---|---|
| PB01 | Publication | ||
| PB01 | Publication | ||
| SE01 | Entry into force of request for substantive examination | ||
| SE01 | Entry into force of request for substantive examination | ||
| GR01 | Patent grant | ||
| GR01 | Patent grant |