CN113442725A - Power battery thermal runaway alarm method and system and vehicle - Google Patents
Power battery thermal runaway alarm method and system and vehicle Download PDFInfo
- Publication number
- CN113442725A CN113442725A CN202110680109.4A CN202110680109A CN113442725A CN 113442725 A CN113442725 A CN 113442725A CN 202110680109 A CN202110680109 A CN 202110680109A CN 113442725 A CN113442725 A CN 113442725A
- Authority
- CN
- China
- Prior art keywords
- air pressure
- pressure value
- thermal runaway
- electric quantity
- point
- 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.)
- Granted
Links
Images
Classifications
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L3/00—Electric devices on electrically-propelled vehicles for safety purposes; Monitoring operating variables, e.g. speed, deceleration or energy consumption
- B60L3/0023—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train
- B60L3/0046—Detecting, eliminating, remedying or compensating for drive train abnormalities, e.g. failures within the drive train relating to electric energy storage systems, e.g. batteries or capacitors
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/12—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries responding to state of charge [SoC]
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L58/00—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles
- B60L58/10—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries
- B60L58/24—Methods or circuit arrangements for monitoring or controlling batteries or fuel cells, specially adapted for electric vehicles for monitoring or controlling batteries for controlling the temperature of batteries
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T10/00—Road transport of goods or passengers
- Y02T10/60—Other road transportation technologies with climate change mitigation effect
- Y02T10/70—Energy storage systems for electromobility, e.g. batteries
Abstract
The invention discloses a power battery thermal runaway alarm method, a system and a vehicle, wherein the method comprises the following steps: (S1) detecting the current electric quantity of the battery cell; (S2) selecting n air pressure value points in the time sequence within the time period T, wherein the n air pressure value points are respectively (T)1，P1)、(t2，P2)……(ti，Pi)……(tn，Pn) I is 1,2, … … n; if the difference value of any two adjacent air pressure value points meets the following relational expression: pi+1‑Pi≥ΔPiIf the temperature is not controlled, the atmospheric pressure alarm condition of thermal runaway is considered to be met; otherwise, the thermal runaway air pressure alarm condition is not satisfied; wherein, Δ PiThe air pressure difference value threshold value of the air pressure value of the (i + 1) th air pressure value point and the air pressure value of the ith air pressure value point is preset. The method satisfies thermal runaway by collecting multipleThe air pressure value points can automatically fit the air pressure change trend in a section of range, and the accuracy, timeliness and robustness of thermal event alarming are improved.
Description
Technical Field
The invention relates to the technical field of power battery health, in particular to a power battery thermal runaway alarm method, a power battery thermal runaway alarm system and a vehicle.
Background
GB38031-2020 power storage battery safety requirements for electric vehicles require that a thermal event warning signal be provided 5min before a single cell thermal runaway could cause diffusion and hence danger to the passenger compartment. At present, most of technologies for monitoring the thermal safety state by using an air pressure sensor are used for reporting a thermal event, when an air pressure signal is diagnosed, a single fixed threshold point is generally adopted or compared with a certain single point in the previous period, when the fixed threshold is reached, thermal runaway occurs for a period of time, and the defects of untimely alarm response, false alarm, missing report, high requirement on maintaining the air tightness of a whole package and the like exist.
Disclosure of Invention
The invention aims to provide a thermal runaway alarm method, a thermal runaway alarm system and a vehicle for a power battery, which can realize automatic fitting of an air pressure change trend in a section of range through a plurality of collected air pressure value points meeting the thermal runaway, and improve the accuracy, timeliness and robustness of thermal event alarm.
In order to achieve the purpose, the invention provides a thermal runaway alarm method for a power battery, which comprises the following steps:
(S1) detecting the current electric quantity of the battery cell;
(S2) selecting n air pressure value points in the time sequence within the time period T, wherein the n air pressure value points are respectively (T)1，P1)、(t2，P2)……(ti，Pi)……(tn，Pn) I is 1,2, … … n; if the difference value of any two adjacent air pressure value points meets the following relational expression: pi+1-Pi≥ΔPiIf the temperature is not controlled, the atmospheric pressure alarm condition of thermal runaway is considered to be met; otherwise, the thermal runaway air pressure alarm condition is not satisfied;
wherein, Δ PiThe air pressure difference value threshold value of the air pressure value of the (i + 1) th air pressure value point and the air pressure value of the ith air pressure value point is preset.
Further, Δ PiThe formula of (1) is:
ΔPi＝ΔPi^×r×(1-s)；
in the formula: delta PiThe pressure difference threshold value of the pressure value of the (i + 1) th pressure value point and the pressure value of the ith pressure value point is preset in the T time period at the state of 100% SOC of the electric quantity of the battery core; r is a trend change factor, 0<r<1; s is a measurement bias factor, 0<s<1；
The r of different battery cell electric quantities is different, and the r is determined by the ratio of the air pressure value at the Tth moment of the current battery cell electric quantity to the air pressure value at the Tth moment of 100% of the battery cell electric quantity;
and s is comprehensively determined according to the signal detection precision, the sealing deviation and the consistency deviation of the testing equipment.
Further, if the electric quantity of the battery cell is 50% of the SOC, r is 0.65; if the electric quantity of the battery cell is 60% SOC, r is 0.7; if the electric quantity of the battery cell is 70% SOC, r is 0.82; if the electric quantity of the battery cell is 80% SOC, r is 0.88; if the electric quantity of the battery cell is 90% SOC, r is 0.93.
Further, the method for selecting the non-first air pressure value point comprises the following steps: at the determined pressure value point (t)i，Pi) Then, t is addediThe latter pressure values are chronologically successive with PiTaking the first point satisfying the difference value of ≧ Δ P1 as (t)i+1，Pi+1)。
Further, at the selected pressure value point (t)1，P1) Then, the following selection steps are executed:
(D1) firstly, selecting a first air pressure value point in a T time period as an alternative air pressure value point (T)1，P1)；
(D2) Will t1The subsequent air pressure value points are respectively connected with the alternative air pressure value points (t) according to the time sequence1，P1) Making difference, and judging whether the air pressure difference value is greater than the corresponding calibrated air pressure difference value threshold value or not, if at least one air pressure difference value is greater than the corresponding calibrated air pressure difference value threshold value, then the alternative air pressure value point (t) is pointed out1，P1) As the finally selected pressure value point (t)1，P1) (ii) a If the pressure value point (t)1，P1) If all the subsequent air pressure value points are less than or equal to the corresponding calibrated air pressure difference value threshold, then the operation is switched to the execution (D3);
(D3) selecting a current alternative air pressure value point (t)1，P1) The next air pressure value point is used as a new alternative air pressure value point (t)1，P1) Go to execute (D2).
Further, the value range of n is 3-5.
The invention also provides a power battery thermal runaway alarm system, which comprises:
the signal acquisition module is used for acquiring the electric quantity information and the air pressure value point of the battery cell;
the analysis module is used for calculating the electric quantity of the battery cell and analyzing whether an air pressure value point meeting a thermal runaway condition exists or not;
the alarm module is used for sending out an alarm prompt when the heat is out of control;
the signal acquisition module and the alarm module are respectively connected with the analysis module; the power battery thermal runaway alarm system can execute the steps of the battery thermal runaway alarm method.
The invention also discloses a vehicle which comprises the power battery thermal runaway alarm system.
Compared with the prior art, the invention has the following advantages:
according to the power battery thermal runaway alarm method, the system and the vehicle, the accuracy of thermal event alarm is improved, the air pressure change trend can be automatically fitted in a certain range (in a time period or within an air pressure difference threshold value range), real numerical values can be automatically captured, and diagnosis is more accurate; the timeliness of the thermal event alarm is improved, and the air pressure can be diagnosed at the initial stage of the air pressure change according to a strategy; the robustness of thermal runaway alarm is improved, the air pressure signal can be influenced by the accuracy, the acquisition accuracy, the interference and the like of the sensor, and the influence of the factors can be avoided to a greater extent by adopting a variation trend strategy.
Drawings
FIG. 1 is a flow chart of a thermal runaway alarm method for a power battery according to the invention;
FIG. 2 is a schematic diagram of the air pressure value point signal fitting the trend of air pressure change according to the present invention.
Detailed Description
The following further describes embodiments of the present invention with reference to the drawings.
Referring to fig. 1 and fig. 2, the embodiment discloses a power battery thermal runaway alarm method, which includes the following steps:
(S1) detecting the current electric quantity of the battery cell;
(S2) selecting n air pressure value points in the time sequence within the time period T, wherein the n air pressure value points are respectively (T)1，P1)、(t2，P2)……(ti，Pi)……(tn，Pn) I is 1,2, … … n; if the difference value of any two adjacent air pressure value points meets the following relational expression: pi+1-Pi≥ΔPiIf the temperature is not controlled, the atmospheric pressure alarm condition of thermal runaway is considered to be met; otherwise, the thermal runaway air pressure alarm condition is not satisfied;
wherein, Δ PiThe air pressure difference value threshold value of the air pressure value of the (i + 1) th air pressure value point and the air pressure value of the ith air pressure value point is preset. The calibrated air pressure difference threshold value can be a certain value or a certain value range, and the value range represents that the difference value is in the value range.
The determination of T is determined by selecting a proper time length, and generally selecting 0.2-2 times of the time length from the beginning of the change of the air pressure to the peak value of the air pressure as the preference; for example, if a test data has a time period from the start of the air pressure change to the peak of the air pressure of 30s, the selectable time period T may be one of 6s to 60s, such as 10 s.
In the present embodimentAnd n is in the range of 3-5. In order to fit the variation trend, the method is mainly built from three dimensions of an air pressure value, an air pressure difference value threshold and time. For example, if the vehicle is out of control thermally, 4 air pressure value points in the air pressure trend can be captured by the method described above, and the 4 points can form a curve trend as shown in fig. 2, wherein P2-P1＝ΔP1'，P3-P2＝ΔP2'，P4-P3＝ΔP3'。
In the present embodiment, Δ t1，Δt2，…，Δtn-1The time intervals are not equal, where Δ t1＝t2-t1，Δt2＝t3-t2，…，Δtn-1＝tn-tn-1. In certain embodiments, Δ t1，Δt2，…，Δtn-1Each time interval is equal. When the time intervals are unequal, automatic fitting within a certain range can be realized.
In the present embodiment, Δ PiThe formula of (1) is:
ΔPi＝ΔPi^×r×(1-s)；
in the formula: delta PiThe pressure difference threshold value of the pressure value of the (i + 1) th pressure value point and the pressure value of the ith pressure value point is preset in the T time period at the state of 100% SOC of the electric quantity of the battery core; r is a trend change factor, 0<r<1; s is a measurement bias factor, 0<s<1；
The r of different battery cell electric quantities is different, and the r is determined by the ratio of the air pressure value at the Tth moment of the current battery cell electric quantity to the air pressure value at the Tth moment of 100% of the battery cell electric quantity;
and s is comprehensively determined according to the signal detection precision, the sealing deviation and the consistency deviation of the testing equipment.
When the preset air pressure difference value threshold is a positive value, fitting the rising trend of the air pressure; when the preset air pressure difference value thresholds are all negative values, the descending trend of the air pressure can be fitted; if the preset air pressure difference value threshold is set to be positive and negative crossed, the situation that the air pressure fluctuates up and down can be fitted.
Due to the air pressure difference value threshold value delta Pi(ΔP1、ΔP2、ΔP3… …) is a calibration quantity, if the calibration has a deviation to have a certain influence on the use of alarm, the calibration is mainly influenced by two aspects, one is that different electric core systems, electric core capacities and electric core electric quantities have influence on the air pressure change trend, and the other is that the measurement deviation needs to be considered for the air pressure change data measured by a certain test, such as signal detection precision, sealing deviation of test equipment, consistency deviation and the like. Therefore, two influencing factors are taken for calibration, namely a trend change factor r and a measurement deviation factor s (r and s are independent). For a certain type of battery cell, the battery cell system and the battery cell capacity are determined, and the air pressure change is mainly influenced by the electric quantity. And selecting the electric cores under different electric quantities to perform thermal runaway test by taking the electric quantity of the 100% SOC as a reference, so as to obtain air pressure values under different electric quantities. Taking the starting change of the air pressure as the starting point of a time window T, and obtaining an air pressure value at the Tth moment; obtaining the air pressure values at the Tth moment under different electric quantities in the air pressure values under different electric quantities, and obtaining the ratio of the corresponding air pressure values to the air pressure change value at the Tth moment under the condition that the electric quantity is 100%, namely obtaining the trend change factor r under different electric quantities; each ratio can be configured in software, and corresponding ratio r can be set in different electric quantity ranges and used for thermal runaway judgment after configuration. For the measurement deviation factor s, a measurement deviation factor s can be comprehensively determined according to the signal detection precision, the sealing deviation of the test equipment, the consistency deviation and the like, and a calibrated air pressure difference value threshold value can be obtained by using the measurement deviation factor s, namely the air pressure value at the T-th moment is multiplied by (1-s).
In this embodiment, if the cell electric quantity is 50% SOC, r is 0.65; if the electric quantity of the battery cell is 60% SOC, r is 0.7; if the electric quantity of the battery cell is 70% SOC, r is 0.82; if the electric quantity of the battery cell is 80% SOC, r is 0.88; if the electric quantity of the battery cell is 90% SOC, r is 0.93.
Referring to fig. 1, a test may be performed at 100% SOC to obtain a piece of data, and a suitable time interval may exist (T) within a time period T (e.g. 20s)1，P1)、(t2，P2)、(t3，P3)、(t3，P3) The number of the four points is four,respectively (10, 100), (12, 101), (15, 103), (25, 110), the four points are sequentially differed and respectively satisfy delta P1^＝1kPa、ΔP2^＝1.5kPa、ΔP2And the three air pressure difference threshold values are parameters preliminarily determined according to the air pressure value under 100% of electric quantity, are preliminarily used as parameters in the strategy, and need to be further calibrated.
The comprehensive factors can be considered through experiments, and a measurement deviation factor s is obtained, wherein s is 0.2; the air pressure values at the T-th time points in the case of 50%, 60%, 70%, 80%, and 90% of the electricity amount can be obtained through experiments, and the ratio of the air pressure values at the T-th time points is 100%, respectively, to obtain the trend change factors r for each electricity amount, such as 0.65, 0.7, 0.82, 0.88, and 0.93, respectively). Then, the air pressure difference value thresholds of different electric quantities are respectively calibrated, under 50% of electric quantity: delta P1＝1*0.65*(1-0.2)＝0.52kPa，ΔP2＝1.5*0.65*(1-0.2)＝0.78kPa，ΔP 34 × 0.65 × 1-0.2 — 2.08 kPa; under 60% of electricity: delta P1＝1*0.7*(1-0.2)＝0.56kPa，ΔP2＝1.5*0.7*(1-0.2)＝0.84kPa，ΔP 34 × 0.7 × 1-0.2 — 2.24kPa, and so on.
In this embodiment, the method for selecting the non-first pressure value point is as follows: at the determined pressure value point (t)i，Pi) Then, t is addediThe latter pressure values are chronologically successive with PiTaking the first point satisfying the difference value of ≧ Δ P1 as (t)i+1，Pi+1)。
In this embodiment, the air pressure value point (t) is selected1，P1) Then, the following selection steps are executed:
(D1) firstly, selecting a first air pressure value point in a T time period as an alternative air pressure value point (T)1，P1)；
(D2) Will t1The subsequent air pressure value points are respectively connected with the alternative air pressure value points (t) according to the time sequence1，P1) Making difference, and judging whether the air pressure difference value is greater than the corresponding calibrated air pressure difference value threshold value or not, if at least one air pressure difference value is greater than the corresponding calibrated air pressure difference value threshold value, then the alternative air pressure value point (t) is pointed out1，P1) As the finally selected pressure value point (t)1，P1) (ii) a If the pressure value point (t)1，P1) If all the subsequent air pressure value points are less than or equal to the corresponding calibrated air pressure difference value threshold, then the operation is switched to the execution (D3);
(D3) selecting a current alternative air pressure value point (t)1，P1) The next air pressure value point is used as a new alternative air pressure value point (t)1，P1) Go to execute (D2).
This embodiment also discloses a power battery thermal runaway alarm system, includes:
the signal acquisition module is used for acquiring the electric quantity information and the air pressure value point of the battery cell;
the analysis module is used for calculating the electric quantity of the battery cell and analyzing whether an air pressure value point meeting a thermal runaway condition exists or not;
the alarm module is used for sending out an alarm prompt when the heat is out of control;
the signal acquisition module and the alarm module are respectively connected with the analysis module; the power battery thermal runaway alarm system can execute the steps of the battery thermal runaway alarm method.
The embodiment also discloses a vehicle which comprises the power battery thermal runaway alarm system.
According to the power battery thermal runaway alarm method, the system and the vehicle, the accuracy of thermal event alarm is improved, the air pressure change trend can be automatically fitted in a certain range (in a time period or within an air pressure difference threshold value range), real numerical values can be automatically captured, and diagnosis is more accurate; the timeliness of the thermal event alarm is improved, and the air pressure can be diagnosed at the initial stage of the air pressure change according to a strategy; the robustness of thermal runaway alarm is improved, the air pressure signal can be influenced by the accuracy, the acquisition accuracy, the interference and the like of the sensor, and the influence of the factors can be avoided to a greater extent by adopting a variation trend strategy.
The foregoing detailed description of the preferred embodiments of the invention has been presented. It should be understood that numerous modifications and variations could be devised by those skilled in the art in light of the present teachings without departing from the inventive concepts. Therefore, the technical solutions available to those skilled in the art through logic analysis, reasoning and limited experiments based on the prior art according to the concept of the present invention should be within the scope of protection defined by the claims.
Claims (8)
1. A power battery thermal runaway alarm method is characterized by comprising the following steps:
(S1) detecting the current electric quantity of the battery cell;
(S2) selecting n air pressure value points in the time sequence within the time period T, wherein the n air pressure value points are respectively (T)1，P1)、(t2，P2)……(ti，Pi)……(tn，Pn) I is 1,2, … … n; if the difference value of any two adjacent air pressure value points meets the following relational expression: pi+1-Pi≥ΔPiIf the temperature is not controlled, the atmospheric pressure alarm condition of thermal runaway is considered to be met; otherwise, the thermal runaway air pressure alarm condition is not satisfied;
wherein, Δ PiAnd presetting an air pressure difference value threshold value of the air pressure value of the (i + 1) th air pressure value point and the air pressure value of the ith air pressure value point under the current electric quantity of the electric core.
2. The power battery thermal runaway alarm method of claim 1, wherein Δ PiThe formula of (1) is:
ΔPi＝ΔPi^×r×(1-s)；
in the formula: delta PiThe pressure difference threshold value of the pressure value of the (i + 1) th pressure value point and the pressure value of the ith pressure value point is preset in the T time period at the state of 100% SOC of the electric quantity of the battery core; r is a trend change factor, 0<r<1; s is a measurement bias factor, 0<s<1；
The r of different battery cell electric quantities is different, and the r is determined by the ratio of the air pressure value at the Tth moment of the current battery cell electric quantity to the air pressure value at the Tth moment of 100% of the battery cell electric quantity;
and s is comprehensively determined according to the signal detection precision, the sealing deviation and the consistency deviation of the testing equipment.
3. The warning method for the thermal runaway of the power battery according to claim 2, wherein if the electric quantity of the battery cell is 50% SOC, r is 0.65; if the electric quantity of the battery cell is 60% SOC, r is 0.7; if the electric quantity of the battery cell is 70% SOC, r is 0.82; if the electric quantity of the battery cell is 80% SOC, r is 0.88; if the electric quantity of the battery cell is 90% SOC, r is 0.93.
4. The power battery thermal runaway alarm method according to claim 1,2 or 3, wherein the method for selecting the non-first air pressure value point is as follows: at the determined pressure value point (t)i，Pi) Then, t is addediThe latter pressure values are chronologically successive with PiTaking the first point satisfying the difference value of ≧ Δ P1 as (t)i+1，Pi+1)。
5. The power battery thermal runaway alarm method of claim 4, wherein at a selected air pressure value point (t)1，P1) Then, the following selection steps are executed:
(D1) firstly, selecting a first air pressure value point in a T time period as an alternative air pressure value point (T)1，P1)；
(D2) Will t1The subsequent air pressure value points are respectively connected with the alternative air pressure value points (t) according to the time sequence1，P1) Making difference, and judging whether the air pressure difference value is greater than the corresponding calibrated air pressure difference value threshold value or not, if at least one air pressure difference value is greater than the corresponding calibrated air pressure difference value threshold value, then the alternative air pressure value point (t) is pointed out1，P1) As the finally selected pressure value point (t)1，P1) (ii) a If the pressure value point (t)1，P1) If all the subsequent air pressure value points are less than or equal to the corresponding calibrated air pressure difference value threshold, then the operation is switched to the execution (D3);
(D3) selecting a current alternative air pressure value point (t)1，P1) The next air pressure value point is used as a new alternative air pressure value point (t)1，P1) Go to execute (D2).
6. The power battery thermal runaway alarm method according to claim 1,2, 3 or 5, wherein the value of n ranges from 3 to 5.
7. A power battery thermal runaway alarm system is characterized by comprising:
the signal acquisition module is used for acquiring the electric quantity information and the air pressure value point of the battery cell;
the analysis module is used for calculating the electric quantity of the battery cell and analyzing whether an air pressure value point meeting a thermal runaway condition exists or not;
the alarm module is used for sending out an alarm prompt when the heat is out of control;
the signal acquisition module and the alarm module are respectively connected with the analysis module; the power battery thermal runaway alarm system can execute the steps of the battery thermal runaway alarm method according to any one of claims 1 to 6.
8. A vehicle characterized by comprising a power battery thermal runaway warning system as claimed in claim 7.
Applications Claiming Priority (2)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202110478449 | 2021-04-30 | ||
| CN2021104784499 | 2021-04-30 |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN113442725A true CN113442725A (en) | 2021-09-28 |
| CN113442725B CN113442725B (en) | 2022-07-08 |
Family
ID=77811815
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN202110680109.4A Active CN113442725B (en) | 2021-04-30 | 2021-06-18 | Power battery thermal runaway alarm method and system and vehicle |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN113442725B (en) |
Cited By (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114325406A (en) * | 2021-12-30 | 2022-04-12 | 重庆长安新能源汽车科技有限公司 | Method and system for predicting thermal runaway of battery based on machine learning thinking |
| CN117117356A (en) * | 2023-10-24 | 2023-11-24 | 内蒙古中电储能技术有限公司 | Energy storage battery pack thermal runaway monitoring and tracing method and system |
| WO2023174763A3 (en) * | 2022-03-14 | 2024-04-11 | Mercedes-Benz Group AG | Method for detecting the thermal runaway of individual battery cells |
Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020006541A1 (en) * | 2000-04-28 | 2002-01-17 | Naoto Arai | Battery assembly |
| US20120078457A1 (en) * | 2010-09-29 | 2012-03-29 | Aisin Aw Co., Ltd. | Control device |
| JP2014120335A (en) * | 2012-12-17 | 2014-06-30 | Mitsubishi Heavy Ind Ltd | Battery system, battery monitoring device, and battery monitoring method |
| US20140239964A1 (en) * | 2010-06-03 | 2014-08-28 | C&C Power, Inc. | Battery system and management method |
| US20160349330A1 (en) * | 2015-06-01 | 2016-12-01 | Verizon Patent And Licensing Inc. | Systems and methods for determining vehicle battery health |
| CN106597299A (en) * | 2016-11-22 | 2017-04-26 | 南京能启能电子科技有限公司 | Lithium battery thermal runaway early warning and automatic control method |
| CN108627773A (en) * | 2018-05-04 | 2018-10-09 | 深圳市道通智能航空技术有限公司 | Battery power consumption control method, device and unmanned vehicle |
| CN109273794A (en) * | 2018-09-14 | 2019-01-25 | 上海交通大学 | A kind of automobile power cell Temperature-controlled appliance |
| JP2019512149A (en) * | 2016-02-17 | 2019-05-09 | トヨタ・モーター・ヨーロッパＴｏｙｏｔａ Ｍｏｔｏｒ Ｅｕｒｏｐｅ | System and method for battery discharge control |
| CN110116623A (en) * | 2019-04-30 | 2019-08-13 | 蜂巢能源科技有限公司 | The Joint failure detection method and battery management system of power battery pack |
| CN111114328A (en) * | 2020-02-27 | 2020-05-08 | 湖北亿纬动力有限公司 | Thermal runaway early warning method, device and system for power storage battery of electric automobile |
| CN111137173A (en) * | 2020-01-16 | 2020-05-12 | 广州小鹏汽车科技有限公司 | Electric automobile and thermal runaway protection method thereof |
| US20200156475A1 (en) * | 2018-11-19 | 2020-05-21 | Ford Global Technologies, Llc | Distributed battery thermal runaway detection |
| CN111381169A (en) * | 2020-03-05 | 2020-07-07 | 大连理工大学 | Power battery thermal runaway early warning method |
| US20200266405A1 (en) * | 2019-02-20 | 2020-08-20 | Rivian Ip Holdings, Llc | Battery module gas sensor for battery cell monitoring |
| CN111717032A (en) * | 2020-06-30 | 2020-09-29 | 蜂巢能源科技有限公司 | Method and equipment for inhibiting thermal runaway of lithium battery and electric automobile |
| CN111907331A (en) * | 2020-07-23 | 2020-11-10 | 上海英恒电子有限公司 | Thermal runaway early warning system and method for battery pack of electric vehicle |
| CN112034358A (en) * | 2020-08-04 | 2020-12-04 | 上汽大众汽车有限公司 | Lithium battery thermal runaway detection system and method |
| US20200386819A1 (en) * | 2019-06-05 | 2020-12-10 | Samsung Sdi Co., Ltd. | Battery capacity prediction system using charge and discharge cycles of a battery to predict capacity variations, and associated method |
| EP3772428A1 (en) * | 2019-08-07 | 2021-02-10 | Samsung SDI Co., Ltd. | Battery pack housing producing an acoustic warning signal in case of thermal runaway |
| CN112394291A (en) * | 2020-11-05 | 2021-02-23 | 广州汽车集团股份有限公司 | Battery thermal runaway early warning method and device |
| CN112615069A (en) * | 2020-12-04 | 2021-04-06 | 上海捷新动力电池系统有限公司 | Thermal runaway detection early warning system and thermal runaway judgment method for power battery system |
| EP3800725A1 (en) * | 2019-04-30 | 2021-04-07 | Contemporary Amperex Technology Co., Limited | Thermal runaway detection method, device and system for batteries, and battery management unit |
-
2021
- 2021-06-18 CN CN202110680109.4A patent/CN113442725B/en active Active
Patent Citations (23)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US20020006541A1 (en) * | 2000-04-28 | 2002-01-17 | Naoto Arai | Battery assembly |
| US20140239964A1 (en) * | 2010-06-03 | 2014-08-28 | C&C Power, Inc. | Battery system and management method |
| US20120078457A1 (en) * | 2010-09-29 | 2012-03-29 | Aisin Aw Co., Ltd. | Control device |
| JP2014120335A (en) * | 2012-12-17 | 2014-06-30 | Mitsubishi Heavy Ind Ltd | Battery system, battery monitoring device, and battery monitoring method |
| US20160349330A1 (en) * | 2015-06-01 | 2016-12-01 | Verizon Patent And Licensing Inc. | Systems and methods for determining vehicle battery health |
| JP2019512149A (en) * | 2016-02-17 | 2019-05-09 | トヨタ・モーター・ヨーロッパＴｏｙｏｔａ Ｍｏｔｏｒ Ｅｕｒｏｐｅ | System and method for battery discharge control |
| CN106597299A (en) * | 2016-11-22 | 2017-04-26 | 南京能启能电子科技有限公司 | Lithium battery thermal runaway early warning and automatic control method |
| CN108627773A (en) * | 2018-05-04 | 2018-10-09 | 深圳市道通智能航空技术有限公司 | Battery power consumption control method, device and unmanned vehicle |
| CN109273794A (en) * | 2018-09-14 | 2019-01-25 | 上海交通大学 | A kind of automobile power cell Temperature-controlled appliance |
| US20200156475A1 (en) * | 2018-11-19 | 2020-05-21 | Ford Global Technologies, Llc | Distributed battery thermal runaway detection |
| US20200266405A1 (en) * | 2019-02-20 | 2020-08-20 | Rivian Ip Holdings, Llc | Battery module gas sensor for battery cell monitoring |
| CN110116623A (en) * | 2019-04-30 | 2019-08-13 | 蜂巢能源科技有限公司 | The Joint failure detection method and battery management system of power battery pack |
| EP3800725A1 (en) * | 2019-04-30 | 2021-04-07 | Contemporary Amperex Technology Co., Limited | Thermal runaway detection method, device and system for batteries, and battery management unit |
| US20200386819A1 (en) * | 2019-06-05 | 2020-12-10 | Samsung Sdi Co., Ltd. | Battery capacity prediction system using charge and discharge cycles of a battery to predict capacity variations, and associated method |
| EP3772428A1 (en) * | 2019-08-07 | 2021-02-10 | Samsung SDI Co., Ltd. | Battery pack housing producing an acoustic warning signal in case of thermal runaway |
| CN111137173A (en) * | 2020-01-16 | 2020-05-12 | 广州小鹏汽车科技有限公司 | Electric automobile and thermal runaway protection method thereof |
| CN111114328A (en) * | 2020-02-27 | 2020-05-08 | 湖北亿纬动力有限公司 | Thermal runaway early warning method, device and system for power storage battery of electric automobile |
| CN111381169A (en) * | 2020-03-05 | 2020-07-07 | 大连理工大学 | Power battery thermal runaway early warning method |
| CN111717032A (en) * | 2020-06-30 | 2020-09-29 | 蜂巢能源科技有限公司 | Method and equipment for inhibiting thermal runaway of lithium battery and electric automobile |
| CN111907331A (en) * | 2020-07-23 | 2020-11-10 | 上海英恒电子有限公司 | Thermal runaway early warning system and method for battery pack of electric vehicle |
| CN112034358A (en) * | 2020-08-04 | 2020-12-04 | 上汽大众汽车有限公司 | Lithium battery thermal runaway detection system and method |
| CN112394291A (en) * | 2020-11-05 | 2021-02-23 | 广州汽车集团股份有限公司 | Battery thermal runaway early warning method and device |
| CN112615069A (en) * | 2020-12-04 | 2021-04-06 | 上海捷新动力电池系统有限公司 | Thermal runaway detection early warning system and thermal runaway judgment method for power battery system |
Non-Patent Citations (3)
| Title |
|---|
| 张亚军: "动力锂离子电池热失控燃烧特性研究进展", 《机械工程学报》 * |
| 梁英宏等: "一种用于监控系统的监控指标趋势分析方法", 《计算机工程与应用》 * |
| 黄鹊: "锂离子电池典型可燃组件热安全性研究", 《中国博士学位论文全文数据库 工程科技II辑》 * |
Cited By (4)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN114325406A (en) * | 2021-12-30 | 2022-04-12 | 重庆长安新能源汽车科技有限公司 | Method and system for predicting thermal runaway of battery based on machine learning thinking |
| WO2023174763A3 (en) * | 2022-03-14 | 2024-04-11 | Mercedes-Benz Group AG | Method for detecting the thermal runaway of individual battery cells |
| CN117117356A (en) * | 2023-10-24 | 2023-11-24 | 内蒙古中电储能技术有限公司 | Energy storage battery pack thermal runaway monitoring and tracing method and system |
| CN117117356B (en) * | 2023-10-24 | 2024-03-12 | 内蒙古中电储能技术有限公司 | Energy storage battery pack thermal runaway monitoring and tracing method and system |
Also Published As
| Publication number | Publication date |
|---|---|
| CN113442725B (en) | 2022-07-08 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN113442725B (en) | Power battery thermal runaway alarm method and system and vehicle | |
| US8315829B2 (en) | Battery state-of-health monitoring system and method | |
| US8159189B2 (en) | Battery state of health monitoring system and method | |
| CN110410173B (en) | Method for predicting service life of engine oil filter element and system for predicting service life of engine oil filter element | |
| US7930876B2 (en) | Method and device for monitoring a particle filter in the exhaust line of an internal combustion engine | |
| CN112345943B (en) | Battery thermal runaway early warning method and device | |
| CN105658937B (en) | Method for monitoring the operation of sensor | |
| CN112319308B (en) | Power battery multi-fault detection method and system | |
| CN103718054A (en) | Device for monitoring an electrical accumulation battery and associated method | |
| CN110920400B (en) | Battery system consistency fault diagnosis and whole vehicle processing method for pure electric vehicle | |
| CN109057927A (en) | A kind of calculation method of catalyst converter oxygen storage capacity | |
| CN112394291A (en) | Battery thermal runaway early warning method and device | |
| CN111579121B (en) | Method for diagnosing faults of temperature sensor in new energy automobile battery pack on line | |
| US11621573B2 (en) | Drooping cell detection and state of cell health monitoring | |
| KR20230129953A (en) | Method, device, apparatus, and storage medium for evaluating consistency of vehicle battery cell | |
| CN112307623A (en) | Battery cell thermal runaway prediction method and device, medium, battery management system and vehicle | |
| US8965716B2 (en) | Method and apparatus for testing at least one temperature sensor in a vehicle | |
| CN112380707A (en) | Method and device for evaluating cooling performance of EGR cooler and electronic equipment | |
| CN113232462B (en) | Tire pressure management method, device and computer storage medium | |
| US11456494B2 (en) | Method for early detection of an imminent overheating of at least one battery cell of a battery, detection device, and motor vehicle | |
| CN111562450B (en) | System and method for monitoring service life of reactor | |
| CN116973782A (en) | New energy automobile maintenance and fault monitoring and diagnosing method based on machine learning | |
| CN115753146A (en) | Detecting vehicle NO x Method, device and equipment for exceeding discharge capacity and storage medium | |
| CN116736156A (en) | SOC calibration method, SOH judgment method, detection device, system and energy storage device | |
| CN115179767A (en) | Method for diagnosing charging abnormality of electric vehicle, and storage medium |
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 |