CN113671391A - Detection method for micro/short circuit signal identification early warning of lithium ion battery - Google Patents

Detection method for micro/short circuit signal identification early warning of lithium ion battery Download PDF

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CN113671391A
CN113671391A CN202110721794.0A CN202110721794A CN113671391A CN 113671391 A CN113671391 A CN 113671391A CN 202110721794 A CN202110721794 A CN 202110721794A CN 113671391 A CN113671391 A CN 113671391A
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battery
ocv
charging
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CN113671391B (en
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高敏
云凤玲
栗敬敬
张天磊
赵挺
王琳舒
张杭
闫坤
张莹
方彦彦
张向军
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China Automotive Battery Research Institute Co Ltd
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    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/36Arrangements for testing, measuring or monitoring the electrical condition of accumulators or electric batteries, e.g. capacity or state of charge [SoC]
    • G01R31/382Arrangements for monitoring battery or accumulator variables, e.g. SoC
    • G01R31/3835Arrangements for monitoring battery or accumulator variables, e.g. SoC involving only voltage measurements
    • GPHYSICS
    • G01MEASURING; TESTING
    • G01RMEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
    • G01R31/00Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
    • G01R31/50Testing of electric apparatus, lines, cables or components for short-circuits, continuity, leakage current or incorrect line connections
    • G01R31/52Testing for short-circuits, leakage current or ground faults

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Abstract

The invention relates to the technical field of lithium ion battery detection, in particular to a detection method for micro/short circuit signal identification and early warning of a lithium ion battery. The detection method can accurately identify the battery micro/short circuit signals; the micro/short circuit signal can be identified not only offline, but also online, so that the identification timeliness of the battery short circuit signal is improved; in addition, the detection method can further determine a specific DOD interval, compare the open-circuit voltage of the battery to be detected with the voltage of the standard battery, judge whether the abnormal voltage occurs in the battery to be detected according to the comparison value in real time, and is accurate and efficient. Another advantage of the present invention is that the method can be used in a battery management system to detect a series-parallel battery micro short circuit signal on-line.

Description

Detection method for micro/short circuit signal identification early warning of lithium ion battery
Technical Field
The invention relates to the technical field of lithium ion battery detection, in particular to a detection method for micro/short circuit signal identification and early warning of a lithium ion battery.
Background
The lithium ion battery is used as a novel high-energy green battery and widely applied to the fields of new energy automobiles and the like, and the lithium ion battery has higher requirements on the safety of the lithium ion battery; meanwhile, the safety problem of the lithium ion battery is increasingly prominent, and the industry is paid high attention.
Lithium ion batteries are highly susceptible to thermal runaway under abusive conditions, including thermal, mechanical, and electrical abuse. The internal short circuit is the most common form of electrical abuse and is one of the important causes of the self-induced thermal runaway safety problem of the ternary lithium ion battery (depending on the severity of the internal short circuit or the resistance of the short circuit, the relative magnitude of heat generation-heat dissipation power, etc.). When the short-circuit resistance of the battery is small, the voltage of the battery is suddenly reduced due to external short circuit, the current and the temperature are sharply increased, a large amount of heat is generated in a short time, and the possibility of thermal runaway is caused; when the short-circuit resistance is large, i.e. small-scale external short circuit, called micro short circuit, in a short time, the micro short circuit does not cause significant changes in voltage, current and temperature, is not easy to be found, and only shows that the self-discharge rate is too large, however, if the micro short circuit develops for a long time, the difference between batteries gradually increases, and in addition, the gradual accumulation of heat may cause safety problems. Therefore, the battery micro/short circuit must be effectively prevented and controlled.
Currently, an internal short circuit detection method is mostly adopted to detect micro/short circuit. However, the conventional method for detecting the short circuit in the battery can only detect the battery in a non-working state, but cannot detect the battery in use, has low detection precision, and cannot identify some potential micro/short circuit signals. Therefore, it is obvious that the technical problem to be solved by those skilled in the art is to develop a detection method capable of accurately identifying the battery micro/short circuit signal identification.
In view of this, the invention is particularly proposed.
Disclosure of Invention
The invention aims to provide a detection method for micro/short circuit signal identification and early warning of a lithium ion battery, which can effectively judge whether the lithium ion battery is subjected to micro/short circuit; meanwhile, the detection method is simple to operate and high in accuracy.
Specifically, the invention provides the following technical scheme:
the invention provides a detection method for micro/short circuit signal identification and early warning of a lithium ion battery, which comprises the following steps:
respectively charging the standard battery and the battery to be tested, and respectively recording the corresponding voltages after the first charging as Vbc1And Vc1After standing, the corresponding voltages are respectively recorded as OCVbc1And OCVc1(ii) a Repeating the steps of charging and standing for multiple times, wherein the last charging voltage reaches a charging cut-off voltage, and the corresponding voltage after each charging is respectively marked as VbcnAnd VcnAfter standing, the corresponding voltages are respectively recorded as OCVbcnAnd OCVcn
Respectively discharging the standard battery and the battery to be tested, and respectively recording the corresponding voltages after the first discharge as Vbd1And Vd1After standing, the corresponding voltages are respectively recorded as OCVbd1And OCVd1(ii) a Repeating the discharging-standing steps for multiple times, wherein the last discharging voltage reaches a discharging cut-off voltage; the corresponding voltage after each discharge is respectively marked as VbdnAnd VdnAfter standing, the corresponding voltages are respectively recorded as OCVbdnAnd OCVdn
And comparing the voltage value of the battery to be tested with the voltage value of the standard battery, and comparing the voltage difference value with a preset threshold value so as to judge whether the battery to be tested generates a micro/short circuit signal.
The invention finds that the detection method is adopted to detect the micro/short circuit of the battery, can realize the purpose of detecting the battery in use, and has higher precision.
In the above technical solution, the charge cut-off voltage and the discharge cut-off voltage may be defined by an enterprise.
Preferably, the voltage value of the battery to be tested is compared with the voltage value of the standard battery, and the calculation method comprises the following steps:
△OCVcn=OCVcn-OCVbcn
△OCVdn=OCVdn-OCVbdn
the potential difference of the battery to be measured and the standard battery at the same charging and discharging time can be obtained by using the calculation method.
Further, when Δ OCVcnNot more than 10mV and delta OCVdnIf the voltage is less than or equal to 10mV, the micro/short circuit signal of the battery to be detected is not detected;
when the value of 10mV is less than or equal to delta OCVcnLess than 20mV or less than or equal to 10mVdnIf the voltage is less than 20mV, determining that a micro/short circuit signal of the battery to be detected is detected;
when Δ OCVcn> 20mV or Δ OCVdnIf the voltage is more than 20mV, the battery to be tested is considered to have serious micro/short circuit.
Preferably, the charging steps of the standard battery and the battery to be tested can be repeated for multiple times, and the charging voltage is not more than the charging cut-off voltage every time;
preferably, the discharging steps of the standard battery and the battery to be tested can be repeated for multiple times, and the discharging voltage is not less than the discharging cut-off voltage every time.
Preferably, the standard battery and the battery to be tested are both circulated in advance and then discharged to an empty state.
Further, the temperature of the circulation is-20 ℃ to 55 ℃.
Preferably, the detection method includes:
respectively circulating the standard battery and the battery to be tested, and then discharging to an empty state;
applying a standard battery with a current I1Charging at constant current for 5-300 min, and recording the corresponding voltage as V after chargingbc1Standing for more than 30min, and recording the corresponding voltage as OCVbc1(ii) a Repeating the above steps of charging and standing for n times until the charging voltage reaches the charge cut-off voltage V1
Applying a standard battery with a current D1Discharging at constant current for 5-300 min, and recording the corresponding voltage as V after dischargingbd1Standing for more than 30min, and recording the corresponding voltage as OCVbd1(ii) a Repeating the discharging-standing step n times until the discharge voltage reaches the discharge cut-off voltage V1’;
Applying a current I to the battery to be tested1Charging at constant current for 5-300 min, and recording the corresponding voltage as V after chargingc1Standing for more than 30min, and recording the corresponding voltage as OCVc1(ii) a Repeating the above steps of charging and standing for n times until the charging voltage reaches the charge cut-off voltage V1
Applying a current D to the battery to be tested1Discharging at constant current for 5-300 min, and recording the corresponding voltage as V after dischargingd1The corresponding capacity is marked Qd1Standing for more than 30min, and recording the corresponding voltage as OCVd1(ii) a Repeating the discharging-standing step n times until the discharge voltage reaches the discharge cut-off voltage V1’。
Further, the current I1Less than or equal to 0.5C, the cut-off voltage V1≤4.6V。
Further, the current D1Less than or equal to 0.5C, the cut-off voltage V1’≤2.0V。
Further, in the discharging process of the standard battery and the battery to be tested, the accumulated discharging depth needs to reach 70-90% DOD.
Preferably, the positive pole piece of the battery to be tested is a lithium-rich manganese-based positive pole material or a ternary positive pole material, and the negative active material is a carbon-based negative pole material or a graphite negative pole material.
The detection method is particularly suitable for the battery to be detected.
The invention has the beneficial effects that:
(1) the detection method can accurately identify the battery micro/short circuit signals; the micro/short circuit signal can be identified not only offline, but also online, and the identification timeliness of the battery short circuit signal is improved.
(2) The detection method can further define a specific DOD interval, compare the open-circuit voltage of the battery to be detected with the standard battery voltage, judge whether the abnormal voltage occurs in the battery to be detected or not through the comparison value in real time, and is accurate and efficient.
(3) Another advantage of the present invention is that the method can be used in a battery management system to detect a series-parallel battery micro short circuit signal on-line.
Drawings
FIG. 1 is a voltage difference diagram of the charging process of examples 1 and 2 and comparative example 1;
FIG. 2 is a graph of the voltage difference during discharge in examples 1 and 2.
Detailed Description
The following examples are intended to illustrate the invention but are not intended to limit the scope of the invention.
The examples do not show the specific techniques or conditions, according to the technical or conditions described in the literature in the field, or according to the product specifications. The reagents or instruments used are conventional products available from regular distributors, not indicated by the manufacturer.
Example 1
The embodiment provides a detection method for micro/short circuit signal identification and early warning of a lithium ion battery, which comprises the following steps:
(1) respectively charging a standard battery and a battery 1 to be tested (25 Ah; the anode material is a nickel-cobalt-manganese anode material, and the cathode material is graphite) to a voltage of 4.2V at a constant current of 0.33C, then charging to a current of 1/20C at a constant voltage of 4.2V, standing for 30min, and then discharging to a voltage of 2.8V at a constant current of 0.33C; the above cycle was performed 3 times, and then the discharge was made to the empty state;
(2) charging the standard battery at a constant current of 0.1C for 30min, standing for 3h, and repeating the steps of charging and standing until the voltage of the battery reaches 4.2V and then standing for 3 h; then discharging the standard battery for 30min at a constant current of 0.1C, standing for 3h, repeating the discharging-standing steps until the discharging voltage of the battery reaches 2.8V, standing for 3h, and recording the voltages of the batteries after standing at different stages as shown in Table 1;
(3) charging the battery 1 to be tested for 30min at a constant current of 0.1C, standing for 3h, repeating the steps of charging and standing until the voltage of the battery reaches 4.2V, and standing for 3 h; then discharging the battery 1 to be tested for 30min at a constant current of 0.1C, standing for 3h, repeating the discharging-standing steps until the discharging voltage of the battery reaches 2.8V, standing for 3h, and recording the voltages of the batteries after standing at different stages, as shown in Table 2;
(4) subtracting the voltages at the same time in the step (3) and the step (2), and comparing the subtracted voltages with a threshold voltage to find that the voltage difference of the battery 1 to be tested is greater than 20mV when the DOD is 60-80%, which indicates that the battery 1 to be tested has an obvious short circuit; but is more than 10mV but less than 20mV at < 30% DOD and 40-60% DOD.
TABLE 1 standard cell voltage values after different stages of charging and discharging
SOC/DOD 5 10 15 20 25 30 35 40 45 50
Charge/V 3.4198 3.4508 3.4998 3.5438 3.5789 3.6000 3.6158 3.6310 3.6489 3.6697
discharge/V 4.1180 4.0578 3.9999 3.9459 3.8948 3.8449 3.7950 3.7280 3.6849 3.6570
SOC/DOD 55 60 65 70 75 80 85 90 95 100
Charge/V 3.6998 3.7460 3.8080 3.8570 3.9059 3.9568 4.0107 4.0668 4.1257 4.1809
discharge/V 3.6359 3.6189 3.6040 3.5820 3.5497 3.5169 3.4747 3.4338 3.4000 3.1867
Table 2 voltage values after the battery 1 to be tested is left standing in different stages of charging and discharging in example 1
SOC/DOD 5 10 15 20 25 30 35 40 45 50
Charge/V 3.4248 3.4549 3.5038 3.5479 3.5829 3.604 3.6189 3.635 3.6517 3.6728
discharge/V 4.1199 4.0588 4.0008 3.9469 3.8948 3.8449 3.7937 3.7258 3.6849 3.6579
SOC/DOD 55 60 65 70 75 80 85 90 95 100
Charge/V 3.7019 3.7469 3.808 3.857 3.9069 3.9568 4.0098 4.065 4.1239 4.1828
discharge/V 3.6378 3.6207 3.6058 3.5807 3.5488 3.5147 3.471 3.4328 3.3857 3.1067
Example 2
The embodiment provides a detection method for micro/short circuit signal identification and early warning of a lithium ion battery, which comprises the following steps:
(1) respectively charging a standard battery and a battery 2 to be tested (25Ah, wherein the anode material is a nickel-cobalt-manganese anode material, and the cathode material is graphite) to a voltage of 4.2V at a constant current of 0.33C, then charging to a current of 1/20C at a constant voltage of 4.2V, standing for 30min, discharging to a voltage of 2.8V at a constant current of 0.33C, circulating for 3 times, and then discharging to an empty state;
(2) charging the standard battery at a constant current of 0.1C for 30min, standing for 3h, and repeating the steps of charging and standing until the voltage of the battery reaches 4.2V and then standing for 3 h; then discharging the standard battery for 30min at a constant current of 0.1C, standing for 3h, repeating the discharging-standing steps until the discharging voltage of the battery reaches 2.8V, standing for 3h, and recording the voltages of the batteries after standing at different stages as shown in Table 1;
(3) charging the battery 2 to be tested for 30min at a constant current of 0.1C, standing for 3h, repeating the steps of charging and standing until the voltage of the battery reaches 4.2V, and standing for 3 h; then discharging the battery 2 to be tested for 30min at a constant current of 0.1C, standing for 3h, repeating the discharging-standing steps until the discharging voltage of the battery reaches 2.8V, standing for 3h, and recording the voltages of the batteries after standing at different stages, as shown in Table 3;
(4) subtracting the voltages at the same time in the step (3) and the step (2), and comparing the voltage with a threshold voltage to find that the battery 2 delta OCV to be testedcnNot more than 10mV and delta OCVdnAnd if the voltage is less than or equal to 10mV, the battery 2 to be tested is determined to have no micro short circuit signal.
Table 3 voltage values of the battery 2 to be measured after being left standing at different stages of charging and discharging in example 2
SOC/DOD 5 10 15 20 25 30 35 40 45 50
Charge/V 3.4229 3.4539 3.5029 3.5469 3.582 3.6027 3.6179 3.6337 3.6508 3.6728
discharge/V 4.1199 4.0597 4.0017 3.9478 3.8969 3.8467 3.7959 3.7298 3.6858 3.6589
SOC/DOD 55 60 65 70 75 80 85 90 95 100
Charge/V 3.7029 3.75 3.8108 3.8597 3.9087 3.9599 4.0138 4.0699 4.1288 4.1828
discharge/V 3.6378 3.6207 3.6058 3.5829 3.551 3.5187 3.4759 3.4347 3.4009 3.1808
Comparative example 1
The comparative example provides a detection method for micro/short circuit signal identification and early warning of a lithium ion battery, which comprises the following steps:
(1) charging a standard battery and a battery 1 to be tested (25 Ah; the anode material is a nickel-cobalt-manganese anode material, and the cathode material is graphite) to a voltage of 4.2V at a constant current of 0.33C, then charging to a current of 1/20C at a constant voltage of 4.2V, standing for 30min, and then discharging to a voltage of 2.8V at a constant current of 0.33C; the above cycle was performed 3 times, and then the discharge was made to the empty state;
(2) charging the standard battery at a constant current of 0.1C for 30min, standing for 3h, and repeating the steps of charging and standing until the voltage of the battery reaches 4.2V and then standing for 3 h; then discharging the standard battery for 30min at a constant current of 0.1C, standing for 3h, repeating the discharging-standing steps until the discharging voltage of the battery reaches 2.8V, standing for 3h, and recording the voltages of the batteries after standing at different stages as shown in Table 1;
(3) charging the battery 1 to be tested for 30min at a constant current of 0.1C, standing for 3h, and repeating the charging-standing step for 6 times; recording the voltage of the battery after standing at different stages as shown in table 4;
(4) subtracting the voltages at the same time in the step (3) and the step (2), and comparing the voltage with a threshold voltage to find that the battery 1 to be tested has delta OCV within the SOC range of 0-30 percentcnLess than or equal to 10mV, and the result shows that the battery 1 to be tested has no micro short circuit signal.
Table 4 voltage values after standing at different stages of charging and discharging of the battery 1 to be tested in comparative example 1
SOC/DOD 5 10 15 20 25 30
Charge/V 3.4197 3.4506 3.4993 3.5435 3.5784 3.6000
In addition, voltage difference graphs during charging of examples 1 and 2 and comparative example 1 are shown in fig. 1; the voltage difference during discharge for examples 1 and 2 is shown in fig. 2.
Although the invention has been described in detail hereinabove by way of general description, specific embodiments and experiments, it will be apparent to those skilled in the art that many modifications and improvements can be made thereto based on the invention. Accordingly, such modifications and improvements are intended to be within the scope of the invention as claimed.

Claims (10)

1. A detection method for micro/short circuit signal identification early warning of a lithium ion battery is characterized by comprising the following steps:
respectively charging the standard battery and the battery to be tested, and respectively recording the corresponding voltages after the first charging as Vbc1And Vc1After standing, the corresponding voltages are respectively recorded as OCVbc1And OCVc1(ii) a Repeating the steps of charging and standing for multiple times, wherein the last charging voltage reaches a charging cut-off voltage, and the corresponding voltage after each charging is respectively marked as VbcnAnd VcnAfter standing, the corresponding voltages are respectively recorded as OCVbcnAnd OCVcn
Respectively discharging the standard battery and the battery to be tested, and respectively recording the corresponding voltages after the first discharge as Vbd1And Vd1After standing, the corresponding voltages are respectively recorded as OCVbd1And OCVd1(ii) a Repeating the discharging-standing steps for multiple times, wherein the last discharging voltage reaches a discharging cut-off voltage; the corresponding voltage after each discharge is respectively marked as VbdnAnd VdnAfter standing, the corresponding voltages are respectively recorded as OCVbdnAnd OCVdn
And comparing the voltage value of the battery to be tested with the voltage value of the standard battery, and comparing the voltage difference value with a preset threshold value so as to judge whether the battery to be tested generates a micro/short circuit signal.
2. The detection method according to claim 1, wherein the voltage value of the battery to be detected is compared with the voltage value of the standard battery by the calculation method of:
△OCVcn=OCVcn-OCVbcn
△OCVdn=OCVdn-OCVbdn
3. the test method according to claim 2, wherein Δ OCVcnNot more than 10mV and delta OCVdnIf the voltage is less than or equal to 10mV, the micro/short circuit signal of the battery to be detected is not detected;
when the value of 10mV is less than or equal to delta OCVcnLess than 20mV or less than or equal to 10mVdnIf the voltage is less than 20mV, determining that a micro/short circuit signal of the battery to be detected is detected;
when Δ OCVcn> 20mV or Δ OCVdnIf the voltage is more than 20mV, the battery to be tested is considered to have serious micro/short circuit.
4. The detection method according to any one of claims 1 to 3, wherein the charging steps of the standard battery and the battery to be detected can be repeated for a plurality of times, and the charging voltage is not greater than the charging cut-off voltage each time;
and/or the discharging steps of the standard battery and the battery to be tested can be repeated for multiple times, and the discharging voltage is not less than the discharging cut-off voltage every time.
5. The detection method according to any one of claims 1 to 4, wherein the standard battery and the battery to be detected are both cycled in advance and then discharged to an empty state.
6. The method of claim 5, wherein the temperature of the cycle is between-20 ℃ and 55 ℃.
7. The detection method according to any one of claims 1 to 6, comprising:
respectively circulating the standard battery and the battery to be tested, and then discharging to an empty state;
applying a standard battery with a current I1Charging at constant current for 5-300 min, and recording the corresponding voltage as V after chargingbc1Standing for more than 30min, and recording the corresponding voltage as OCVbc1(ii) a Repeating the above steps of charging and standing for n times until the charging voltage reaches the charge cut-off voltage V1
Applying a standard battery with a current D1Discharging at constant current for 5-300 min, and recording the corresponding voltage as V after dischargingbd1Standing for more than 30min, and recording the corresponding voltage as OCVbd1(ii) a Repeating the discharging-standing step n times until the discharge voltage reaches the discharge cut-off voltage V1’;
Applying a current I to the battery to be tested1Charging at constant current for 5-300 min, and recording the corresponding voltage as V after chargingc1Standing for more than 30min, and recording the corresponding voltage as OCVc1(ii) a Repeating the above steps of charging and standing for n times until the charging voltage reaches the charge cut-off voltage V1
Applying a current D to the battery to be tested1Discharging at constant current for 5-300 min, and recording the corresponding voltage as V after dischargingd1The corresponding capacity is marked Qd1Standing for more than 30min, and recording the corresponding voltage as OCVd1(ii) a Repeating the discharging-standing step n times until the discharge voltage reaches the discharge cut-off voltage V1’。
8. The detection method according to claim 7, wherein the current I1Less than or equal to 0.5C, the cut-off voltage V1≤4.6V;
And/or the current D1Less than or equal to 0.5C, the cut-off voltage V1’≤2.0V。
9. The detection method according to claim 7, wherein the accumulated depth of discharge is 70-90% DOD during the discharge process of the standard battery and the battery to be detected.
10. The detection method according to any one of claims 1 to 9, wherein a positive electrode plate of the battery to be detected is a lithium-rich manganese-based positive electrode material or a ternary positive electrode material, and a negative electrode active material is a carbon-based negative electrode material or a graphite negative electrode material.
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CN114583301A (en) * 2022-04-29 2022-06-03 国网浙江省电力有限公司电力科学研究院 Power station thermal runaway early warning method and system based on safety characteristic parameter representation system

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