CN112557909B - Lithium battery life detection system and method based on internal resistance - Google Patents
Lithium battery life detection system and method based on internal resistance Download PDFInfo
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- 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
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- 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]
- G01R31/389—Measuring internal impedance, internal conductance or related variables
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- 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]
- G01R31/392—Determining battery ageing or deterioration, e.g. state of health
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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
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- Y02E—REDUCTION OF GREENHOUSE GAS [GHG] EMISSIONS, RELATED TO ENERGY GENERATION, TRANSMISSION OR DISTRIBUTION
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Abstract
The invention discloses a lithium battery life detection system and method based on internal resistance, comprising a counter module, a data acquisition module, a pulse discharge module, an internal resistance operation module and an SOH display module, wherein when the battery life reaches 85%, the ohmic internal resistance of the battery is obtained by using pulse current, and the battery life detection is completed by the relationship between the ohmic internal resistance and the battery health state, and then the ohmic internal resistance can be detected by adopting fixed cycle times according to the actual application scene of the battery. The method has the advantages of simplicity, easiness in implementation, high accuracy, simplicity in calculation and the like.
Description
Technical Field
The invention relates to the technical field of battery management systems, in particular to a lithium battery life detection system and method based on internal resistance.
Background
In the use of lithium batteries by new energy industry, the battery pack is composed of tens or hundreds of battery strings and parallel connection, and the battery aging and damage speed caused by inconsistency are accelerated in the working process of the battery due to the inconsistency of each single battery. Therefore, the service life of each single battery in the battery pack is detected, namely, the state of health (SOH) of the battery is detected, and the battery pack has irreplaceable functions of prolonging the service life of the battery pack and protecting the battery from running stably.
The current common battery health state detection methods include a cycle count method, a particle filter detection method, a Kalman filter detection method and the like. The cycle number statistical method is the simplest, and judges whether the cycle number of the single battery reaches the retired standard according to the comparison test data of the cycle number and the health state of the single battery, but the method has larger error due to the influence caused by the inconsistency of the batteries and the serial-parallel use. The particle filter detection method and the Kalman filter detection method model a battery, load battery operation data on the model, and calculate battery health state data. The two methods have higher calculation accuracy, but the common MCU can not meet the calculation requirement and can not obtain the calculation result in real time due to large calculation amount, and the system cost is greatly increased.
Disclosure of Invention
In order to solve the technical problems, the invention provides a lithium battery life detection system and a lithium battery life detection method based on internal resistance, wherein a relation model is established for battery cycle times and health states, when the battery life reaches 85%, the ohmic internal resistance of the battery is obtained by using pulse current, and the battery life detection is completed through the relation between the ohmic internal resistance and the health states of the battery. And the ohmic internal resistance can be detected by adopting fixed intervals of cycle times according to the actual application scene of the battery. The method has the advantages of simplicity, easiness in implementation, high accuracy, simplicity in calculation and the like.
In order to achieve the technical effects, the invention adopts the following technical scheme:
the lithium battery life detection system based on the internal resistance comprises a counter module, a data acquisition module, a pulse discharge module, an internal resistance operation module and an SOH display module; the counter module is used for storing a corresponding relation model of the battery cycle times and SOH and finishing statistics of the current battery cycle times; the data acquisition module is used for acquiring and recording current and voltage data of the system; the pulse discharging module is used for generating pulse current in the system; the internal resistance operation module calculates the current internal resistance of the battery according to the voltage and current changes acquired in the pulse current process, and obtains the current SOH of the battery according to the corresponding relation between the internal resistance and the SOH; the SOH display module is used for displaying the current SOH value of the battery.
According to the further technical scheme, the corresponding relation model of the battery cycle times and the SOH is obtained through experiments, the battery is specifically circulated through full charge and discharge, the SOH values of the battery corresponding to different cycle times are recorded, the corresponding relation model is formed, and the SOH values are reduced along with the increase of the cycle times.
According to a further technical scheme, the counter module can receive the feedback value of the internal resistance operation module and calibrate the count.
According to a further technical scheme, the internal resistance operation module has millivolt operation capability.
The further technical scheme is that the corresponding relation between the internal resistance and the SOH is obtained through experiments.
The invention also provides a lithium battery life detection method based on the internal resistance, which comprises the following steps:
s1, obtaining a corresponding relation model of battery cycle times and SOH and a corresponding relation model of internal resistance and SOH through experiments;
s2, counting the cycle times of the battery by using a counter module, and judging the SOH of the current system through a corresponding relation model of the cycle times and the SOH after each cycle;
s3, when the counter module judges that the current cycle times and the SOH value are 85%, starting the pulse discharging module;
s4, the pulse discharging module releases a pulse current larger than the current working current to the system, the system is influenced by the pulse current, terminal voltage can generate a process of falling back after being instantaneously reduced, and the whole process of the pulse current is collected in real time through the data collecting module;
s5, calculating the current internal resistance of the battery by an internal resistance operation module, wherein the voltage before pulse current release is recorded as V0, the pulse current is I, the instantaneous minimum value of the voltage in the pulse current process is V1, and the current internal resistance of the battery is (V0-V1)/I;
s6, the internal resistance operation module obtains the current SOH state of the system through the corresponding relation between the internal resistance value and the SOH, and the battery life detection is completed.
When the deviation between the battery health state and the circulation times obtained by the internal resistance operation is larger than a threshold value, the internal resistance operation result is used as the reference, and the reference is fed back to the circulation counter, so that the reference is automatically calibrated to the circulation times corresponding to the current SOH.
The further technical scheme is that the step S1 specifically includes: the method comprises the steps of carrying out full charge and discharge cycle experiments on the same batch of batteries of the battery to be detected, and recording the ratio of the full charge capacity to the rated capacity of the battery after each charge and discharge cycle, namely the SOH value of the battery in the next cycle, wherein the SOH value of the battery is reduced to 80% to reach the scrapping standard, so that the experiment records the corresponding relation between the cycle times and the SOH when the SOH of the battery is 100% -75%, and a corresponding relation model between the cycle times and the SOH is formed; and (3) through carrying out a charge-discharge cycle experiment on the same batch of batteries of the battery to be detected, recording the internal resistances of the batteries in different SOH states, and forming a corresponding relation model of the internal resistances and the SOH.
Compared with the prior art, the invention has the following beneficial effects:
1. according to the invention, the lithium battery life detection system based on internal resistance is adopted, detection is started when the battery cycle number reaches 85% of the life through the counter module, a rough estimation method is adopted when the battery life is more than 85%, and fine detection is carried out when the battery life reaches 85%, so that the influence of life detection on system operation during normal use of the battery is avoided.
2. The invention adopts the mode of combining the internal resistance operation module and the counter, thereby reducing the error caused by the detection of the service life of the battery by the existing independent internal resistance operation or independent cycle counter method. And the result of the internal resistance operation module is fed back to the cycle counter, so that the calibration operation of a simple calculation mode is realized, and the accuracy of battery life detection is improved. And meanwhile, the method is easier to realize in engineering.
Detailed Description
Example 1
The invention provides a lithium battery life detection system based on internal resistance, which completes battery life detection by calculating the state of health (SOH) of a battery. The system comprises a counter module, a data acquisition module, a pulse discharge module, an internal resistance operation module and an SOH display module, and is specifically introduced as follows:
a counter module: and the method is used for storing a corresponding relation model of the battery cycle times and the SOH and finishing statistics of the current battery cycle times. The corresponding relation model is obtained through experiments, namely, the battery is circulated through full charge and discharge, and the SOH values of the battery corresponding to different circulation times are recorded to form the corresponding relation model. It is found from experiments that SOH values decrease with increasing cycle number.
And a data acquisition module: and a high-precision current and voltage meter is adopted to collect the current and voltage of the system, and particularly when the current and voltage of the system are suddenly changed, accurate recording is carried out.
A pulse discharge module: for generating a pulse current in the system, after the pulse discharging module generates the pulse current, the system current is increased suddenly, and the voltage is slowly raised after being suddenly reduced.
The internal resistance operation module: the current internal resistance of the battery is estimated through the voltage and current changes acquired in the pulse current process, and the internal resistance of the battery is smaller, so that the internal group operation module needs to have millivolt operation capability. After the internal resistance is calculated, the current SOH of the battery is obtained according to the corresponding relation between the internal resistance and the SOH, and the corresponding relation between the internal resistance and the SOH is obtained through experiments.
SOH display module: for displaying the current SOH value of the battery.
Example 2
The lithium battery life detection method based on the internal resistance comprises the following steps:
s1, carrying out full charge and discharge cycle experiments on the same batch of batteries of the battery to be detected, and recording the ratio of the full charge capacity to the rated capacity of the battery after each charge and discharge cycle, namely the SOH value of the battery in the current cycle. As the SOH value of the battery is reduced to 80% to reach the rejection standard, the experiment records the corresponding relation between the cycle times and the SOH when the SOH of the battery is from 100% to 75%, and a corresponding relation model between the cycle times and the SOH is formed.
S2, through a charge-discharge cycle experiment of the same batch of batteries of the battery to be detected, recording the internal resistances of the batteries in different SOH states, and forming a corresponding relation model of the internal resistances and the SOH.
S3, because the battery scrapping is a slow process, and the internal resistance of the battery is calculated through pulse discharge, the system is influenced by frequent pulse discharge, so that the counter module is used for counting the cycle times of the battery, and after each cycle, the current system SOH is judged through a corresponding relation model of the cycle times and the SOH.
S4, when the counter module judges that the current cycle times correspond to the SOH value of 85%, the pulse discharging module is started.
S5, the pulse discharging module discharges a pulse current larger than the current working current to the system, if the current working current is 1C, the pulse current of 2C is discharged, the system is influenced by the pulse current, the terminal voltage can generate a process of falling back after being instantaneously reduced, and the whole process of the pulse current is collected in real time through the data collecting module.
S6, calculating the current internal resistance of the battery by an internal resistance operation module, recording the voltage before the pulse current is released as V0, recording the pulse current as I, and recording the instantaneous minimum voltage value in the pulse current process as V1, wherein the current internal resistance of the battery is (V0-V1)/I.
S7, the internal resistance operation module obtains the current SOH state of the system through the corresponding relation between the internal resistance value and the SOH. And (5) finishing battery life detection.
S8, when the deviation between the battery health state obtained by internal resistance operation and the circulation times is larger than a threshold value, taking the internal resistance operation result as a reference, feeding back to a circulation counter, and automatically calibrating the circulation counter to the circulation times corresponding to the current SOH.
Although the invention has been described herein with reference to the above-described illustrative embodiments thereof, the above-described embodiments are merely preferred embodiments of the present invention, and the embodiments of the present invention are not limited by the above-described embodiments, it should be understood that numerous other modifications and embodiments can be devised by those skilled in the art that will fall within the scope and spirit of the principles of this disclosure.
Claims (7)
1. The lithium battery life detection method based on the internal resistance is characterized by adopting a lithium battery life detection system based on the internal resistance, wherein the detection system comprises a counter module, a data acquisition module, a pulse discharge module, an internal resistance operation module and an SOH display module; the counter module is used for storing a corresponding relation model of the battery cycle times and SOH and finishing statistics of the current battery cycle times; the data acquisition module is used for acquiring and recording current and voltage data of the system; the pulse discharging module is used for generating pulse current in the system; the internal resistance operation module calculates the current internal resistance of the battery according to the voltage and current changes acquired in the pulse current process, and obtains the current SOH of the battery according to the corresponding relation between the internal resistance and the SOH; the SOH display module is used for displaying the current SOH value of the battery;
the detection method comprises the following steps:
s1, obtaining a corresponding relation model of battery cycle times and SOH and a corresponding relation model of internal resistance and SOH through experiments;
s2, counting the cycle times of the battery by using a counter module, and judging the current SOH of the battery through a corresponding relation model of the cycle times and the SOH after each cycle;
s3, when the counter module judges that the current cycle times and the SOH value are 85%, starting the pulse discharging module;
s4, the pulse discharging module releases a pulse current larger than the current working current to the battery, the battery is influenced by the pulse current, terminal voltage can generate a process of falling back after being instantaneously reduced, and the whole process of the pulse current is collected in real time through the data collecting module;
s5, calculating the current internal resistance of the battery by an internal resistance operation module, wherein the voltage before pulse current release is recorded as V0, the pulse current is I, the instantaneous minimum value of the voltage in the pulse current process is V1, and the current internal resistance of the battery is (V0-V1)/I;
s6, the internal resistance operation module obtains the current SOH state of the battery through the corresponding relation between the internal resistance value and the SOH, and the battery life detection is completed.
2. The internal resistance-based lithium battery life detection method of claim 1, wherein the battery cycle number and SOH correspondence model is obtained through experiments, specifically, the battery is fully charged and discharged, battery SOH values corresponding to different cycle numbers are recorded, the correspondence model is formed, and the SOH values decrease with the increase of the cycle number.
3. The method for detecting the life of a lithium battery based on internal resistance according to claim 1, wherein the counter module can receive a feedback value of the internal resistance operation module and calibrate the count.
4. The internal resistance-based lithium battery life detection method according to claim 1, wherein the internal resistance operation module has an operation capability of millivolt level.
5. The internal resistance-based lithium battery life detection method of claim 1, wherein the internal resistance-SOH correspondence is experimentally obtained.
6. The method for detecting the life of the lithium battery based on the internal resistance according to claim 1, wherein when the deviation between the battery health state obtained by the internal resistance operation and the cycle number is larger than a threshold value, the method is based on the internal resistance operation result and feeds back to a cycle counter, and automatically corrects the cycle number to the cycle number corresponding to the current SOH.
7. The internal resistance-based lithium battery life detection method according to claim 1, wherein the step S1 specifically comprises: the method comprises the steps of carrying out full charge and discharge cycle experiments on the same batch of batteries of the battery to be detected, and recording the ratio of the full charge capacity to the rated capacity of the battery after each charge and discharge cycle, namely the SOH value of the battery in the next cycle, wherein the SOH value of the battery is reduced to 80% to reach the scrapping standard, so that the experiment records the corresponding relation between the cycle times and the SOH when the SOH of the battery is 100% -75%, and a corresponding relation model between the cycle times and the SOH is formed; and (3) through carrying out a charge-discharge cycle experiment on the same batch of batteries of the battery to be detected, recording the internal resistances of the batteries in different SOH states, and forming a corresponding relation model of the internal resistances and the SOH.
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| CN113589187A (en) * | 2021-08-13 | 2021-11-02 | 湖北亿纬动力有限公司 | Battery internal resistance estimation method and device |
| CN115856694B (en) * | 2022-12-28 | 2023-10-31 | 深圳市南霸科技有限公司 | Battery life prediction method, device, computer equipment and storage medium |
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