CN110370984B - Power battery thermal runaway early warning method - Google Patents
Power battery thermal runaway early warning method Download PDFInfo
- Publication number
- CN110370984B CN110370984B CN201910559034.7A CN201910559034A CN110370984B CN 110370984 B CN110370984 B CN 110370984B CN 201910559034 A CN201910559034 A CN 201910559034A CN 110370984 B CN110370984 B CN 110370984B
- Authority
- CN
- China
- Prior art keywords
- value
- obtaining
- battery
- thermal runaway
- fault
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Active
Links
Images
Classifications
-
- 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
-
- 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]
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0808—Diagnosing performance data
-
- G—PHYSICS
- G07—CHECKING-DEVICES
- G07C—TIME OR ATTENDANCE REGISTERS; REGISTERING OR INDICATING THE WORKING OF MACHINES; GENERATING RANDOM NUMBERS; VOTING OR LOTTERY APPARATUS; ARRANGEMENTS, SYSTEMS OR APPARATUS FOR CHECKING NOT PROVIDED FOR ELSEWHERE
- G07C5/00—Registering or indicating the working of vehicles
- G07C5/08—Registering or indicating performance data other than driving, working, idle, or waiting time, with or without registering driving, working, idle or waiting time
- G07C5/0816—Indicating performance data, e.g. occurrence of a malfunction
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/545—Temperature
-
- B—PERFORMING OPERATIONS; TRANSPORTING
- B60—VEHICLES IN GENERAL
- B60L—PROPULSION OF ELECTRICALLY-PROPELLED VEHICLES; SUPPLYING ELECTRIC POWER FOR AUXILIARY EQUIPMENT OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRODYNAMIC BRAKE SYSTEMS FOR VEHICLES IN GENERAL; MAGNETIC SUSPENSION OR LEVITATION FOR VEHICLES; MONITORING OPERATING VARIABLES OF ELECTRICALLY-PROPELLED VEHICLES; ELECTRIC SAFETY DEVICES FOR ELECTRICALLY-PROPELLED VEHICLES
- B60L2240/00—Control parameters of input or output; Target parameters
- B60L2240/40—Drive Train control parameters
- B60L2240/54—Drive Train control parameters related to batteries
- B60L2240/549—Current
-
- 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 application provides a power battery thermal runaway early warning method, which is characterized in that the abnormal deviation of the lowest battery monomer voltage to the average voltage and the abnormal deviation of the highest monomer temperature to the average temperature are calculated through the real-time detection data of the battery monomer voltage and the battery monomer temperature. And detecting the battery value of the battery module, and calculating the abnormal deviation of the state of charge according to the various detection parameters. Meanwhile, the concentration of the combustible gas and the gas pressure are detected in real time, whether the concentration of the combustible gas reaches a threshold value or not is judged, and whether the gas pressure reaches the threshold value or not is judged. And comprehensively considering the parameters to perform thermal runaway early warning. By the method, the thermal runaway can be early warned before the thermal runaway occurs, so that the harm caused by the thermal runaway is greatly reduced. The method and the device have the advantages that the reliability of safety management of the power battery is improved, and the occurrence of safety accidents of the lithium ion power battery is reduced.
Description
Technical Field
The application relates to the technical field of batteries, in particular to a thermal runaway early warning method for a power battery.
Background
In order to relieve the problems of energy shortage and environmental pollution, new energy automobiles are already listed in strategic emerging technology industries in China. Motorization of automotive power systems has gradually become one of the major trends in future automotive technology development. One of the main features of motorization of automotive power systems is the use of electrical energy instead of chemical energy as the primary source of motive energy for vehicles. The lithium ion power battery has the characteristics of high specific energy, low self-discharge rate and long cycle life, and is the most practical pure electric vehicle energy source at present.
However, with the large-scale application of lithium ion batteries to electric vehicles, safety accidents of lithium ion power batteries, represented by thermal runaway, sometimes occur. Lithium ion power battery accidents are usually manifested by phenomena of temperature shock, smoke, fire and even explosion, which take thermal runaway as a core. Thermal runaway accidents often release large amounts of energy in a short period of time, and are very likely to cause casualties and property losses. Therefore, the thermal runaway accident can attack the confidence that people accept the electric automobile and prevent the electric automobile from being popularized.
Thermal runaway accidents of lithium ion power cells can be triggered by mechanical abuse (crushing, needling, bumping, etc.), electrical abuse (overcharge, overdischarge, internal short circuit, etc.), and thermal abuse. There is a certain internal link between the three abuses, wherein the mechanical abuse causes the deformation of the battery, the deformation of the battery can cause internal short circuit, namely, the electric abuse is caused, the electric abuse is often accompanied by joule heat, namely, the heat of chemical reaction, the heat accumulation causes the heat abuse, and finally the heat abuse causes the temperature of the battery to rise, thereby causing the thermal runaway chain reaction.
Relevant researches show that at present, no absolutely reliable method is available for avoiding the thermal runaway from generating and spreading in a battery system, so that a thermal runaway early warning is necessary before the thermal runaway occurs in order to reduce the damage of the thermal runaway. The traditional thermal runaway early warning method is low in detection precision.
Disclosure of Invention
Therefore, the power battery thermal runaway early warning method is needed to be provided for solving the problem that the traditional thermal runaway early warning method is low in detection precision.
A power battery thermal runaway early warning method comprises the following steps:
s10, acquiring thermal runaway parameters of the power battery in real time, wherein the thermal runaway parameters comprise a voltage value and a temperature value of each battery cell in the power battery module, and further comprise a current value of the power battery module, a concentration of combustible gas and a pressure of the gas;
s20, respectively obtaining a first fault position, a second fault position, a third fault position, a fourth fault position and a fifth fault position according to each voltage value, each temperature value, each current value, the concentration of the combustible gas and the pressure of the gas;
s30, obtaining a total fault bit according to the first fault bit, the second fault bit, the third fault bit, the fourth fault bit and the fifth fault bit;
and S40, judging whether the total fault position is greater than or equal to a preset fault position threshold value, and when the total fault position is greater than or equal to the preset fault position threshold value, performing thermal runaway alarm.
In one embodiment, the specific step of obtaining the fifth fault bit includes:
obtaining an average state of charge value and a minimum state of charge value according to the voltage value of each single battery, the temperature value of each single battery and the current value of the power battery module;
obtaining an actual state of charge difference value according to the average state of charge value and the minimum state of charge value;
and acquiring the fifth fault bit according to the actual state of charge difference value.
In one embodiment, the specific step of obtaining the fifth fault bit according to the actual state of charge difference value includes:
dividing the range of the preset state of charge difference value into a plurality of state of charge reference intervals;
and judging the charge state reference interval to which the actual charge state difference value belongs, and further determining the fifth fault bit.
In one embodiment, the specific step of obtaining the first failure bit includes:
obtaining a cell voltage average value and a cell voltage minimum value according to the voltage value of each battery cell;
obtaining the actual cell voltage difference value according to the cell voltage average value and the cell voltage minimum value;
and obtaining the first fault bit according to the actual battery cell voltage difference value.
In one embodiment, the specific step of obtaining the first fault bit according to the actual cell voltage difference value includes:
dividing the range of the preset battery monomer voltage difference value into a plurality of voltage reference intervals;
and judging the voltage reference interval to which the actual voltage difference value of the single battery belongs, and further determining the first fault bit.
In one embodiment, the specific step of obtaining the second failure bit includes:
the step S30 of obtaining a monomer temperature average value and a monomer temperature maximum value according to the temperature value of each battery monomer;
obtaining an actual battery monomer temperature difference value according to the monomer temperature average value and the monomer temperature maximum value;
and obtaining the second fault bit according to the actual temperature difference value of the single battery.
In one embodiment, the specific step of obtaining the second fault bit according to the actual battery cell temperature difference value includes:
dividing the range of preset battery monomer temperature difference values into a plurality of temperature reference intervals;
and judging the temperature reference interval to which the actual battery monomer temperature difference value belongs, and further determining the second fault bit.
In one embodiment, the specific step of obtaining the third fault bit includes:
obtaining an actual concentration difference value of the battery module according to the concentration value of the combustible gas at the current moment and the concentration value of the combustible gas at the initial moment;
and obtaining the third fault position according to the actual concentration difference value.
In one embodiment, the specific step of obtaining the third fault bit according to the actual concentration difference value includes:
dividing the range of the concentration difference value of the preset battery module into a plurality of concentration reference intervals;
and judging the concentration reference interval to which the actual concentration difference value belongs, and further determining the third fault position.
In one embodiment, the specific step of obtaining the fourth failure bit includes:
obtaining an actual pressure difference value of the battery module according to the pressure value of the gas at the current moment and the pressure value of the gas at the initial moment;
and obtaining the fourth fault bit according to the actual pressure difference value.
In one embodiment, the specific step of obtaining the fourth fault bit according to the actual pressure difference value includes:
dividing the range of the preset battery module pressure difference value into a plurality of pressure reference intervals;
and judging the pressure reference interval to which the actual pressure difference value belongs, and further determining the fourth fault position.
A computer device, comprising a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the power battery thermal runaway early warning method in any one of the above embodiments when executing the computer program.
According to the power battery thermal runaway early warning method, the abnormal deviation of the lowest battery monomer voltage to the average voltage and the abnormal deviation of the highest monomer temperature to the average temperature are calculated through the real-time detection data of the battery monomer voltage and the battery monomer temperature. And detecting the battery value of the battery module, and calculating the abnormal deviation of the state of charge according to the various detection parameters. Meanwhile, the concentration of the combustible gas and the gas pressure are detected in real time, whether the concentration of the combustible gas reaches a threshold value or not is judged, and whether the gas pressure reaches the threshold value or not is judged. And comprehensively considering the parameters to perform thermal runaway early warning. By the method, the thermal runaway can be early warned before the thermal runaway occurs, so that the harm caused by the thermal runaway is greatly reduced. The method and the device have the advantages that the reliability of safety management of the power battery is improved, and the occurrence of safety accidents of the lithium ion power battery is reduced.
Drawings
Fig. 1 is a flowchart of a power battery thermal runaway early warning method according to an embodiment of the present application;
fig. 2 is a schematic diagram of a total fault bit calculation and a decision condition of a thermal runaway warning provided in an embodiment of the present application;
fig. 3 is a graph of fault bits and total fault bits for various parameters provided by an embodiment of the present application.
Detailed Description
In order to make the aforementioned objects, features and advantages of the present application more comprehensible, embodiments accompanying the present application are described in detail below with reference to the accompanying drawings. In the following description, numerous specific details are set forth in order to provide a thorough understanding of the present application. This application is capable of embodiments in many different forms than those described herein and those skilled in the art will be able to make similar modifications without departing from the spirit of the application and it is therefore not intended to be limited to the embodiments disclosed below.
It will be understood that when an element is referred to as being "disposed on" another element, it can be directly on the other element or intervening elements may also be present. When an element is referred to as being "connected" to another element, it can be directly connected to the other element or intervening elements may also be present.
Unless defined otherwise, all technical and scientific terms used herein have the same meaning as commonly understood by one of ordinary skill in the art to which this application belongs. The terminology used herein in the description of the present application is for the purpose of describing particular embodiments only and is not intended to be limiting of the application. As used herein, the term "and/or" includes any and all combinations of one or more of the associated listed items.
Referring to fig. 1, an embodiment of the present application provides a method for warning thermal runaway of a power battery. The power battery thermal runaway early warning method comprises the following steps:
and S10, acquiring thermal runaway parameters of the power battery in real time, wherein the thermal runaway parameters comprise a voltage value and a temperature value of each battery cell in the power battery module, and the thermal runaway parameters further comprise a current value of the power battery module, a concentration of combustible gas and a pressure of the gas. In step S10, the power battery may be a lithium-ion power battery. The rated capacity of the lithium ion power battery can be 25 Ah. The detection parameters can be acquired in real time through various sensors.
And S20, respectively obtaining a first fault position, a second fault position, a third fault position, a fourth fault position and a fifth fault position according to each voltage value, each temperature value, each current value, the concentration of the combustible gas and the pressure of the gas. Specifically, a cell voltage average value and a cell voltage minimum value may be obtained according to a voltage value of each of the battery cells, and a first fault bit may be obtained according to the cell voltage average value and the cell voltage minimum value. The single voltage values of all the single batteries in the battery module at the same moment can be sequenced through the processor, and the voltage average value at the current moment is calculated. The first fail bit may take 0, 1 or 2. The larger the value of the failed bit, the more likely thermal runaway will occur.
Specifically, a cell temperature average value and a cell temperature maximum value are obtained according to the temperature value of each battery cell, and a second fault bit is obtained according to the cell temperature average value and the cell temperature maximum value. The single temperature values of all the single batteries in the battery module at the same moment can be sequenced through the processor, and the average temperature value at the current moment is calculated. The second fail bit may take 0, 1 or 2. The larger the value of the failed bit, the more likely thermal runaway will occur.
Specifically, a third fault location is obtained according to the real-time concentration value of the combustible gas of the power battery module. Before thermal runaway occurs, the concentration value of the combustible gas is increased sharply, so that the processor can judge the difference value of the concentration of the combustible gas, and further determine the value of the third fault location. The third fault bit may take a 0 or a 1.
Specifically, a fourth fault position is obtained according to the real-time pressure value of the gas of the power battery module. Before thermal runaway occurs, the pressure value of the gas is increased sharply, so that the processor can judge the magnitude of the difference value of the gas pressure, and further determine the value of the fourth fault bit. The fourth fail bit may take a 0 or a 1.
Specifically, an average state of charge value and a minimum state of charge value are obtained according to a voltage value of each single battery, a temperature value of each single battery and a current value of the power battery module, and a fifth fault bit is obtained according to the average state of charge value and the minimum state of charge value. Base ofEstimating the state of charge in the model by using the lowest voltage V and the highest temperature T of each battery cellmax,kEstimating minimum state of charge (SOC)min,kRemoving T from the average voltage VV of each of the remaining batteries except Vmax,kThe average temperature V of the remaining batteries estimates the average state of charge value V. The fifth fault bit may take 0, 1 or 2.
And S30, obtaining a total fault bit according to the first fault bit, the second fault bit, the third fault bit, the fourth fault bit and the fifth fault bit. In step S30, after the values of the respective fail bits are determined by the processor, the value of the total fail bit may be calculated by an adder, as shown in fig. 2.
And S40, judging whether the total fault position is greater than or equal to a preset fault position threshold value, and when the total fault position is greater than or equal to the preset fault position threshold value, performing thermal runaway alarm. In step S40, the preset fault bit threshold may be set through multiple tests. In an alternative embodiment, the preset fail bit threshold may be 5, as shown in fig. 3.
In this embodiment, the abnormal offset of the lowest cell voltage to the average voltage and the abnormal offset of the highest cell temperature to the average temperature are calculated from the real-time detection data of the cell voltage and the cell temperature. And detecting the battery value of the battery module, and calculating the abnormal deviation of the state of charge according to the various detection parameters. Meanwhile, the concentration of the combustible gas and the gas pressure are detected in real time, whether the concentration of the combustible gas reaches a threshold value or not is judged, and whether the gas pressure reaches the threshold value or not is judged. And comprehensively considering the parameters to perform thermal runaway early warning. By the method, the thermal runaway can be early warned before the thermal runaway occurs, so that the harm caused by the thermal runaway is greatly reduced. The method and the device have the advantages that the reliability of safety management of the power battery is improved, and the occurrence of safety accidents of the lithium ion power battery is reduced.
In one embodiment, the specific steps of obtaining an average state of charge value and a minimum state of charge value according to a voltage value of each battery cell, a temperature value of each battery cell, and a current value of the power battery module, and obtaining a fifth fault bit according to the average state of charge value and the minimum state of charge value include:
and obtaining an actual state of charge difference value according to the average state of charge value and the minimum state of charge value. Dividing the range of the preset state of charge difference values into a plurality of state of charge reference intervals, and correspondingly setting a value of a fifth fault bit in each state of charge reference interval. And judging the charge state reference interval to which the actual charge state difference value belongs, and further determining the fifth fault bit.
The average state of charge value and the minimum state of charge value may be obtained by one or more of an extended kalman filter estimation SOC algorithm, an unscented kalman filter estimation SOC algorithm, an adaptive filter estimation SOC algorithm, a slip film observer estimation SOC algorithm, an open circuit voltage lookup table method, or other SOC estimation methods. The average state of charge value and the minimum state of charge value may also be obtained by a fusion algorithm of kalman filtering through an equivalent circuit model of a first order RC.
The number of the state of charge reference intervals may be three, the value of the fifth fault bit correspondingly set in the first state of charge reference interval is 0, the value of the fifth fault bit correspondingly set in the second state of charge reference interval is 1, and the value of the fifth fault bit correspondingly set in the third state of charge reference interval is 2. In an alternative embodiment, the first state of charge reference interval is [ 0%, 10%). The second state of charge reference interval is [ 10%, 20%). The third state of charge reference interval is [ 20%, + ∞). When the actual state of charge difference value is greater than 10%, the fifth fault bit jumps from 0 to 1. When the actual state of charge difference value is greater than 20%, the fifth fault bit jumps from 1 to 2.
In one embodiment, the obtaining of the cell voltage average value and the cell voltage minimum value according to the voltage value of each battery cell includes:
and obtaining the actual cell voltage difference value of the battery according to the cell voltage average value and the cell voltage minimum value. The method comprises the steps of dividing a range of preset battery cell voltage difference values into a plurality of voltage reference intervals, and setting a value of a first fault bit corresponding to each voltage reference interval. And judging the voltage reference interval to which the actual voltage difference value of the single battery belongs, and further determining the first fault bit.
The number of voltage reference intervals may be three. The value of the first fault bit correspondingly arranged in the first voltage reference interval is 0, the value of the first fault bit correspondingly arranged in the second voltage reference interval is 1, and the value of the first fault bit correspondingly arranged in the third voltage reference interval is 2. In an alternative embodiment, the first voltage reference interval is [0V, 0.1V). The second voltage reference interval is [0.1V, 5V). The third voltage reference interval is [5V, + ∞). And when the difference value of the actual battery cell voltage is larger than 0.1V, the first fault bit jumps from 0 to 1. And when the difference value of the actual battery cell voltage is larger than 5V, the first fault bit jumps from 1 to 2.
In one embodiment, the obtaining of the average cell temperature value and the maximum cell temperature value according to the temperature value of each battery cell specifically includes:
and obtaining an actual battery monomer temperature difference value according to the monomer temperature average value and the monomer temperature maximum value. Dividing the range of the preset battery monomer temperature difference value into a plurality of temperature reference intervals, and correspondingly setting a value of a second fault bit in each temperature reference interval. And judging the temperature reference interval to which the actual battery monomer temperature difference value belongs, and further determining the second fault bit.
The number of the temperature reference intervals may be three, the value of the second fault bit set corresponding to the first temperature reference interval is 0, the value of the second fault bit set corresponding to the second temperature reference interval is 1, and the value of the second fault bit set corresponding to the third temperature reference interval is 2. In an alternative embodiment, the first temperature reference interval is [0 ℃,5 ℃). The second temperature reference interval is [5 ℃,10 ℃). The third temperature reference interval is [10 ℃, +∞). And when the actual battery cell temperature difference value is greater than 5 ℃, the second fault bit jumps from 0 to 1. And when the actual battery cell temperature difference value is larger than 10 ℃, the second fault bit jumps from 1 to 2.
In one embodiment, the specific step of obtaining a third fault location according to the real-time concentration value of the combustible gas of the power battery module includes:
and obtaining the actual concentration difference value of the battery module according to the concentration value of the combustible gas at the current moment and the concentration value of the combustible gas at the initial moment. The range of the concentration difference value of the preset battery module is divided into a plurality of concentration reference intervals, and each concentration reference interval is correspondingly provided with a value of a third fault bit. And judging the concentration reference interval to which the actual concentration difference value belongs, and further determining the third fault position. The concentration value of the combustible gas at the initial time may be a concentration value of the combustible gas at the detection start time. The concentration value of the combustible gas at the initial time may be a concentration value of the combustible gas at a previous time arbitrarily set by the processor.
The number of the concentration reference intervals may be two, the value of the third fault bit correspondingly set in the first concentration reference interval is 0, and the value of the third fault bit correspondingly set in the second concentration reference interval is 1. It is to be noted here that the sensor that detects the combustible gas concentration may be a gas sensor. The gas sensor may be a semiconductor gas sensor. The working principle of the gas sensor is that the resistance of a semiconductor can be changed along with the increase of the concentration of gas to be detected, the semiconductor is connected with a fixed value resistor in series, and the concentration of the gas to be detected can be detected by measuring the voltage at the two ends of the semiconductor. The concentration value of the combustible gas can be reflected by the voltage value detected by the gas sensor. In an alternative embodiment, the first concentration reference interval is [0V, 1V). The second concentration reference interval is [1V, + ∞). And when the actual concentration difference value is larger than 1V, the third fault bit jumps from 0 to 1.
In one embodiment, the specific step of obtaining the fourth fault location according to the real-time pressure value of the gas of the power battery module includes:
and obtaining the actual pressure difference value of the battery module according to the pressure value of the gas at the current moment and the pressure value of the gas at the initial moment. And dividing the range of the preset battery module pressure difference value into a plurality of pressure reference intervals, wherein each pressure reference interval is correspondingly provided with a value of a fourth fault bit. And judging the pressure reference interval to which the actual pressure difference value belongs, and further determining the fourth fault position. The pressure value of the gas at the initial timing may be a pressure value of the gas at the detection start timing. The pressure value of the gas at the initial time may be a pressure value of the gas at a previous time arbitrarily set by the processor.
Table one, determination conditions of each parameter threshold value and each parameter fault bit
The number of the pressure reference intervals is two, the value of the fourth fault bit correspondingly arranged in the first pressure reference interval is 0, and the value of the fourth fault bit correspondingly arranged in the second pressure reference interval is 1. In an alternative embodiment, the first pressure reference interval is [0KPa, 10KPa "). The second pressure reference interval is [10KPa, + ∞). The fourth fault bit toggles from 0 to 1 when the actual pressure differential variance is greater than 10 KPa. The determination conditions of the threshold values of the parameters and the fault bits of the parameters provided by one embodiment of the present application are shown in the following table.
A computer device, comprising a memory, a processor and a computer program stored in the memory and running on the processor, wherein the processor implements the steps of the power battery thermal runaway early warning method in any one of the above embodiments when executing the computer program.
The technical features of the embodiments described above may be arbitrarily combined, and for the sake of brevity, all possible combinations of the technical features in the embodiments described above are not described, but should be considered as being within the scope of the present specification as long as there is no contradiction between the combinations of the technical features.
The above-mentioned embodiments only express several embodiments of the present application, and the description thereof is more specific and detailed, but not construed as limiting the claims. It should be noted that, for a person skilled in the art, several variations and modifications can be made without departing from the concept of the present application, which falls within the scope of protection of the present application. Therefore, the protection scope of the present patent shall be subject to the appended claims.
Claims (11)
1. A power battery thermal runaway early warning method is characterized by comprising the following steps:
s10, acquiring thermal runaway parameters of the power battery in real time, wherein the thermal runaway parameters comprise a voltage value and a temperature value of each battery cell in the power battery module, and further comprise a current value of the power battery module, a concentration of combustible gas and a pressure of the gas;
s20, obtaining a first fault bit according to the voltage value of each battery cell, obtaining a second fault bit according to the temperature value of each battery cell, obtaining a third fault bit according to the concentration of the combustible gas, obtaining a fourth fault bit according to the pressure of the gas, and obtaining a fifth fault bit according to the voltage value of each battery cell, the temperature value of each battery cell, and the current value of the power battery module, where the specific step of obtaining the fifth fault bit according to the voltage value of each battery cell, the temperature value of each battery cell, and the current value of the power battery module includes:
obtaining an average state of charge value and a minimum state of charge value according to the voltage value of each single battery, the temperature value of each single battery and the current value of the power battery module, wherein the average state of charge value is obtained by estimating the average voltage value of each single body corresponding to the non-lowest voltage and the average temperature value of each single body corresponding to the non-highest temperature;
obtaining an actual state of charge difference value according to the average state of charge value and the minimum state of charge value;
acquiring the fifth fault bit according to the actual state of charge difference value;
s30, obtaining a total fault bit according to the first fault bit, the second fault bit, the third fault bit, the fourth fault bit and the fifth fault bit;
and S40, judging whether the total fault position is greater than or equal to a preset fault position threshold value, and when the total fault position is greater than or equal to the preset fault position threshold value, performing thermal runaway alarm.
2. The power battery thermal runaway early warning method according to claim 1, wherein the specific step of obtaining the fifth fault bit according to the actual state of charge difference value comprises:
dividing the range of the preset state of charge difference value into a plurality of state of charge reference intervals;
and judging the charge state reference interval to which the actual charge state difference value belongs, and further determining the fifth fault bit.
3. The power battery thermal runaway early warning method according to claim 1, wherein the specific step of obtaining the first fault bit according to the voltage value of each battery cell comprises:
obtaining a cell voltage average value and a cell voltage minimum value according to the voltage value of each battery cell;
obtaining the actual cell voltage difference value according to the cell voltage average value and the cell voltage minimum value;
and obtaining the first fault bit according to the actual battery cell voltage difference value.
4. The power battery thermal runaway early warning method according to claim 3, wherein the specific step of obtaining the first fault bit according to the actual cell voltage difference value comprises:
dividing the range of the preset battery monomer voltage difference value into a plurality of voltage reference intervals;
and judging the voltage reference interval to which the actual voltage difference value of the single battery belongs, and further determining the first fault bit.
5. The power battery thermal runaway early warning method according to claim 1, wherein the specific step of obtaining the second fault bit according to the temperature value of each battery cell comprises:
obtaining a monomer temperature average value and a monomer temperature maximum value according to the temperature value of each battery monomer;
obtaining an actual battery monomer temperature difference value according to the monomer temperature average value and the monomer temperature maximum value;
and obtaining the second fault bit according to the actual temperature difference value of the single battery.
6. The power battery thermal runaway early warning method according to claim 5, wherein the specific step of obtaining the second fault bit according to the actual battery cell temperature difference value comprises:
dividing the range of preset battery monomer temperature difference values into a plurality of temperature reference intervals;
and judging the temperature reference interval to which the actual battery monomer temperature difference value belongs, and further determining the second fault bit.
7. The power battery thermal runaway early warning method according to claim 1, wherein the specific step of obtaining the third fault location according to the concentration of the combustible gas comprises:
obtaining an actual concentration difference value of the battery module according to the concentration value of the combustible gas at the current moment and the concentration value of the combustible gas at the initial moment;
and obtaining the third fault position according to the actual concentration difference value.
8. The power battery thermal runaway early warning method according to claim 7, wherein the specific step of obtaining the third fault location according to the actual concentration difference value comprises:
dividing the range of the concentration difference value of the preset battery module into a plurality of concentration reference intervals;
and judging the concentration reference interval to which the actual concentration difference value belongs, and further determining the third fault position.
9. The power battery thermal runaway early warning method according to claim 1, wherein the specific step of obtaining the fourth fault location according to the pressure of the gas comprises:
obtaining an actual pressure difference value of the battery module according to the pressure value of the gas at the current moment and the pressure value of the gas at the initial moment;
and obtaining the fourth fault bit according to the actual pressure difference value.
10. The power battery thermal runaway early warning method according to claim 9, wherein the specific step of obtaining the fourth fault bit according to the actual pressure difference value includes:
dividing the range of the preset battery module pressure difference value into a plurality of pressure reference intervals;
and judging the pressure reference interval to which the actual pressure difference value belongs, and further determining the fourth fault position.
11. A computer device comprising a memory, a processor and a computer program stored on the memory and running on the processor, wherein the processor implements the steps of the warning method for thermal runaway of a power battery as claimed in any one of claims 1 to 10 when the computer program is executed by the processor.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910559034.7A CN110370984B (en) | 2019-06-26 | 2019-06-26 | Power battery thermal runaway early warning method |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201910559034.7A CN110370984B (en) | 2019-06-26 | 2019-06-26 | Power battery thermal runaway early warning method |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110370984A CN110370984A (en) | 2019-10-25 |
| CN110370984B true CN110370984B (en) | 2020-11-13 |
Family
ID=68249541
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201910559034.7A Active CN110370984B (en) | 2019-06-26 | 2019-06-26 | Power battery thermal runaway early warning method |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110370984B (en) |
Families Citing this family (19)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN112824919B (en) * | 2019-11-21 | 2023-06-13 | 北京车和家信息技术有限公司 | Battery thermal runaway alarm threshold determining method, device and equipment |
| CN110954834B (en) * | 2019-12-06 | 2022-01-25 | 上海理工大学 | Mobile power battery thermal management system detection device and method |
| CN113054271A (en) * | 2019-12-27 | 2021-06-29 | 北京车和家信息技术有限公司 | Method and device for detecting safety state of battery |
| CN113740741A (en) * | 2020-05-29 | 2021-12-03 | 比亚迪股份有限公司 | Battery thermal runaway early warning method, device, medium and equipment |
| CN111653840B (en) * | 2020-06-08 | 2021-07-09 | 中国第一汽车股份有限公司 | Early warning method, device, equipment and storage medium |
| CN111882697B (en) * | 2020-07-31 | 2021-11-16 | 中国汽车工程研究院股份有限公司 | Probability mutation rule-based voltage abnormal single body identification algorithm |
| CN111942220A (en) * | 2020-08-06 | 2020-11-17 | 广州小鹏汽车科技有限公司 | Battery voltage distribution early warning method and device and vehicle |
| CN112038716B (en) * | 2020-08-14 | 2022-06-07 | 合肥国轩高科动力能源有限公司 | Early warning method for thermal runaway of lithium ion battery pack |
| CN112133854B (en) * | 2020-08-28 | 2023-04-18 | 北京汽车股份有限公司 | Battery module of power battery, fault detection method, power battery and vehicle |
| CN112092675B (en) * | 2020-08-31 | 2022-03-25 | 长城汽车股份有限公司 | Battery thermal runaway early warning method, system and server |
| CN112172528B (en) * | 2020-09-29 | 2021-11-05 | 蜂巢能源科技有限公司 | Method and device for identifying false alarm of thermal runaway of vehicle battery core, storage medium and vehicle |
| CN112345943B (en) * | 2020-11-13 | 2022-03-18 | 东风汽车集团有限公司 | Battery thermal runaway early warning method and device |
| CN112731169B (en) * | 2020-12-22 | 2022-08-23 | 上汽大众汽车有限公司 | All-weather monitoring system and method for thermal runaway of power battery |
| CN113176378A (en) * | 2021-03-29 | 2021-07-27 | 国网江苏省电力有限公司南京供电分公司 | Based on H2Early warning method and system for thermal runaway of concentration lithium ion battery |
| CN113721156A (en) * | 2021-08-30 | 2021-11-30 | 哈尔滨理工大学 | Multi-time scale comprehensive early warning method for lithium iron phosphate battery |
| CN114188619B (en) * | 2021-11-10 | 2022-09-16 | 安徽锐能科技有限公司 | Method, system and storage medium for early warning of thermal runaway state of battery |
| CN114559819B (en) * | 2022-01-25 | 2023-10-13 | 重庆标能瑞源储能技术研究院有限公司 | Electric automobile battery safety early warning method based on signal processing |
| CN116299145B (en) * | 2023-05-11 | 2023-08-08 | 石家庄科林电气股份有限公司 | Safety monitoring method and device for electric energy meter and electric energy meter |
| CN117169733A (en) * | 2023-11-01 | 2023-12-05 | 车城智能装备(武汉)有限公司 | Power battery monitoring method, system, equipment and storage medium |
Family Cites Families (3)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| US8846232B2 (en) * | 2009-11-11 | 2014-09-30 | Atieva, Inc. | Flash cooling system for increased battery safety |
| CN107331906B (en) * | 2017-07-04 | 2019-11-05 | 天津市捷威动力工业有限公司 | A kind of lithium battery high temperature protection structure and lithium battery |
| CN109361034A (en) * | 2018-09-13 | 2019-02-19 | 吉林大学 | The equal balance system of battery pack temperature and Active Control Method |
-
2019
- 2019-06-26 CN CN201910559034.7A patent/CN110370984B/en active Active
Also Published As
| Publication number | Publication date |
|---|---|
| CN110370984A (en) | 2019-10-25 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110370984B (en) | Power battery thermal runaway early warning method | |
| EP3550317B1 (en) | Method and device for detecting battery micro-short circuit | |
| CN107064803B (en) | on-line detection method for short circuit in battery | |
| CN110376530B (en) | Device and method for detecting short circuit in battery | |
| US8618775B2 (en) | Detection of over-current shorts in a battery pack using pattern recognition | |
| CN108845273B (en) | Power battery power state estimation function test method and device | |
| CN112345943B (en) | Battery thermal runaway early warning method and device | |
| CN108674191B (en) | Electric vehicle fault diagnosis method and device and electric vehicle | |
| CN103078150B (en) | Safe prewarning method and device for power batteries | |
| CN110398699A (en) | Power battery thermal runaway method for early warning combined of multi-sensor information | |
| CN203481890U (en) | Lithium battery management system used for communication | |
| CN108445343B (en) | Power battery internal short circuit detection method and system | |
| CN111025168A (en) | Battery health state monitoring device and battery state of charge intelligent estimation method | |
| CN103904721A (en) | Apparatus and method for equalizing energy of battery cells | |
| CN111370784B (en) | Battery thermal runaway early warning method | |
| CN112485685B (en) | Power bearing capacity parameter determining method and device and electronic equipment | |
| CN110940921A (en) | Multi-fault diagnosis method and system of lithium ion battery string based on correction variance | |
| CN113721156A (en) | Multi-time scale comprehensive early warning method for lithium iron phosphate battery | |
| CN113219353A (en) | BMS-based thermal runaway control method and system | |
| CN112319308A (en) | Power battery multi-fault detection method and system | |
| WO2023028789A1 (en) | Temperature determination method, current threshold determination method, and battery management system | |
| CN108016316B (en) | Battery management system temperature monitoring processing method based on functional safety | |
| KR20180037814A (en) | Battery protection system and method | |
| US20240069117A1 (en) | Method, system, device and medium for detecting battery state of health | |
| KR20210130102A (en) | Device and method for determining state of battery pack |
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 | ||
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220526 Address after: 215699 303, No. 281-351, Customs Road, BeiCang business building, yangshe Town, Zhangjiagang City, Suzhou City, Jiangsu Province Patentee after: Suzhou Zhili iotian Technology Co.,Ltd. Address before: 100084 No. 1 Tsinghua Yuan, Beijing, Haidian District Patentee before: TSINGHUA University |
|
| TR01 | Transfer of patent right | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220613 Address after: 310020 room 157, floor 1, building 8, No. 48, Jiuhuan Road, Shangcheng District, Hangzhou City, Zhejiang Province Patentee after: Zhili iotian (Hangzhou) Technology Co.,Ltd. Address before: 215699 303, No. 281-351, Customs Road, BeiCang business building, yangshe Town, Zhangjiagang City, Suzhou City, Jiangsu Province Patentee before: Suzhou Zhili iotian Technology Co.,Ltd. |