CN110389289B - Insulation fault detection method and control device - Google Patents
Insulation fault detection method and control device Download PDFInfo
- Publication number
- CN110389289B CN110389289B CN201810350451.6A CN201810350451A CN110389289B CN 110389289 B CN110389289 B CN 110389289B CN 201810350451 A CN201810350451 A CN 201810350451A CN 110389289 B CN110389289 B CN 110389289B
- Authority
- CN
- China
- Prior art keywords
- insulation
- branch
- detection
- fault detection
- insulation 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
- 238000001514 detection method Methods 0.000 title claims abstract description 357
- 238000009413 insulation Methods 0.000 title claims abstract description 251
- 238000005070 sampling Methods 0.000 claims abstract description 75
- 238000004364 calculation method Methods 0.000 claims description 17
- 239000003990 capacitor Substances 0.000 claims description 9
- 238000004590 computer program Methods 0.000 claims description 4
- 238000000034 method Methods 0.000 abstract description 31
- 230000008569 process Effects 0.000 description 8
- 238000013461 design Methods 0.000 description 6
- 238000005259 measurement Methods 0.000 description 6
- 230000006641 stabilisation Effects 0.000 description 5
- 238000011105 stabilization Methods 0.000 description 5
- 238000010586 diagram Methods 0.000 description 4
- 230000008859 change Effects 0.000 description 3
- 238000012790 confirmation Methods 0.000 description 3
- 230000032683 aging Effects 0.000 description 2
- 230000006870 function Effects 0.000 description 2
- 238000012986 modification Methods 0.000 description 2
- 230000004048 modification Effects 0.000 description 2
- 230000002093 peripheral effect Effects 0.000 description 2
- 230000009286 beneficial effect Effects 0.000 description 1
- 230000033228 biological regulation Effects 0.000 description 1
- 230000005540 biological transmission Effects 0.000 description 1
- 238000011161 development Methods 0.000 description 1
- 230000018109 developmental process Effects 0.000 description 1
- 230000000694 effects Effects 0.000 description 1
- 230000005611 electricity Effects 0.000 description 1
- 239000000446 fuel Substances 0.000 description 1
- 230000006872 improvement Effects 0.000 description 1
- 230000003287 optical effect Effects 0.000 description 1
- 238000012545 processing Methods 0.000 description 1
- 230000003068 static effect Effects 0.000 description 1
- 238000012360 testing method Methods 0.000 description 1
Images
Classifications
-
- G—PHYSICS
- G01—MEASURING; TESTING
- G01R—MEASURING ELECTRIC VARIABLES; MEASURING MAGNETIC VARIABLES
- G01R31/00—Arrangements for testing electric properties; Arrangements for locating electric faults; Arrangements for electrical testing characterised by what is being tested not provided for elsewhere
- G01R31/12—Testing dielectric strength or breakdown voltage ; Testing or monitoring effectiveness or level of insulation, e.g. of a cable or of an apparatus, for example using partial discharge measurements; Electrostatic testing
- G01R31/14—Circuits therefor, e.g. for generating test voltages, sensing circuits
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Testing Of Short-Circuits, Discontinuities, Leakage, Or Incorrect Line Connections (AREA)
Abstract
The embodiment of the invention relates to the technical field of electric automobiles, and discloses an insulation fault detection method and a control device. The method comprises the following steps: setting a first detection time and a second detection time; the first detection time and the second detection time are respectively the time length required by the insulation fault detection circuit to reach a stable state in a first connection state and a second connection state when the resistance value of the insulation resistor is a preset fault threshold value; switching the insulation fault detection circuit to a first connection state and sampling from a detection point to obtain a first voltage value when first detection time is reached; switching to a second connection state and sampling from the detection point to obtain a second voltage value when reaching a second detection time; calculating an estimated resistance value of the insulation resistor at least according to the first voltage value and the second voltage value; and obtaining a fault detection result according to the estimated resistance value and the fault threshold value. The embodiment of the invention also provides a control device. The embodiment of the invention can shorten the time for confirming the insulation fault and report the insulation fault quickly.
Description
Technical Field
The embodiment of the invention relates to the technical field of detection, in particular to an insulation fault detection method and a control device.
Background
The electric automobile has become a trend of automobile industry development to replace fuel automobiles, and the continuous mileage, the service life, the use safety and the like of the battery pack are particularly important for the use of the electric automobile. The safety of the high voltage electricity of the battery pack, which is one of the key components of the electric vehicle, must be placed in one of the primary considerations of the battery pack system, and therefore, the detection of the insulation performance of the electric vehicle is an essential part of the design.
In the current stage, a bridge balancing method is commonly used, wherein detection branches (the detection branches comprise megaohm resistors) are respectively connected in parallel between the positive electrode and the ground and between the negative electrode and the ground of the battery pack, voltage sampling is carried out on the detection branches, and the resistance value (comprising the positive electrode insulation resistor and the negative electrode insulation resistor) of the insulation resistor of the battery pack is calculated in a voltage division mode. In practical use, because insulation conditions under the condition of low insulation resistance are more concerned, the reported resistance value of the insulation resistance is generally required to be reported according to an actual value within a certain range, and after the reported resistance value exceeds the actual value, the maximum value is reported.
The inventor finds that at least the following problems exist in the prior art: in the bridge balancing method, voltage sampling can be carried out only after the voltage of the detection branch is stabilized; in addition, in order to not affect the actual insulation of the whole vehicle, the resistance connected into the detection branch cannot be too small, so that the RC time constant is larger, and the voltage stability is longer. Therefore, the sampling period is longer due to longer voltage stabilization time, and further the fault reporting period of the electric automobile is longer, which is not beneficial to timely finding the insulation fault.
Disclosure of Invention
An object of embodiments of the present invention is to provide an insulation fault detection method and a control device, which can shorten the insulation fault determination time and quickly report an insulation fault.
In order to solve the above technical problem, an embodiment of the present invention provides an insulation fault detection method, including: a setting step, including setting a first detection time and a second detection time; the first detection time and the second detection time are respectively the time length required for an insulation fault detection circuit connected with the battery pack to reach a stable state in a second connection state under a first connection state when the resistance value of the insulation resistor of the battery pack is a preset fault threshold value; a detection step, wherein the detection step comprises switching the insulation fault detection circuit to the first connection state, and sampling a detection point of the insulation fault detection circuit to obtain a first voltage value when the first detection time is reached; switching the insulation fault detection circuit to the second connection state, and sampling from the detection point to obtain a second voltage value when the second detection time is reached; calculating an estimated resistance value of the insulation resistor at least according to the first voltage value and the second voltage value; and obtaining a fault detection result according to the estimated resistance value and the fault threshold value.
An embodiment of the present invention also provides a control apparatus, including: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the insulation fault detection method described above.
Compared with the prior art, the method and the device have the advantages that when the resistance value of the insulation resistor is the preset fault threshold value, the time length required by the insulation fault detection circuit to reach the stable state in the first connection state and the second connection state is used as the first detection time and the second detection time. Since the smaller the resistance value of the insulation resistor, the smaller the detection time, and the preset fault threshold in the present application is certainly smaller than the actual resistance value of the insulation resistor when the battery pack is in the safe state (in the prior art, the first detection time and the second detection time are calculated according to the actual resistance value of the insulation resistor), the first detection time and the second detection time in the embodiment of the present invention are both reduced compared with the prior art, and therefore, the sum of the first detection time and the second detection time is used as an insulation fault detection period and is also reduced; therefore, the insulation fault confirmation time is shortened, and the insulation fault is reported quickly. In addition, the first detection time and the second detection time are set according to the fault threshold, and the estimated resistance value of the insulation resistor is calculated by sampling the voltage according to the first detection time and the second detection time, so that the magnitude relation of the estimated resistance value of the insulation resistor and the fault threshold can accurately reflect the magnitude relation of the actual resistance value of the insulation resistor and the fault threshold, and the detection precision near the fault threshold can be ensured.
In addition, the first detection time and the second detection time are calculated according to the fault threshold and the Y capacitance of the battery pack. In this embodiment, the first detection time and the second detection time are obtained by a calculation method, which is faster and more convenient.
In addition, the calculation method of the Y capacitance includes: switching the insulation fault detection circuit to the first connection state, and sampling detection points of the insulation fault detection circuit to obtain a first steady-state voltage value; calculating a first time constant of the insulation fault detection circuit according to the sampling time of the first steady-state voltage value; switching the insulation fault detection circuit to the second connection state, and sampling detection points of the insulation fault detection circuit to obtain a second steady-state voltage value; calculating a second time constant of the insulation fault detection circuit according to the sampling time of the second steady-state voltage value; calculating the actual resistance value of the insulation resistor at least according to the first steady-state voltage and the second steady-state voltage; and calculating the Y capacitor according to the actual resistance value of the insulation resistor, the first time constant and the second time constant. In this embodiment, the Y capacitance of the vehicle is calculated from a steady-state voltage value obtained by sampling the vehicle. Because the Y electric capacity receives whole car environment and load equipment influence great, each vehicle of same model vehicle also has the difference in fact, consequently, for the Y electric capacity of same model vehicle among the prior art obtains and uses the scheme of same measured value through laboratory actual measurement, can calculate the Y electric capacity alone to each vehicle for the Y electric capacity of each vehicle is more accurate, thereby makes the settlement of first check-out time and second check-out time more accurate.
In addition, the first branch and the second branch are respectively provided with one detection point; sampling from detection points of the insulation fault detection circuit to obtain first voltage values, specifically, sampling from two detection points to obtain two first voltage values; sampling from the detection points to obtain second voltage values, specifically, sampling from the two detection points to obtain two second voltage values; and calculating the estimated resistance value of the insulation resistor at least according to the first voltage value and the second voltage value, specifically, calculating the estimated resistance value of the insulation resistor according to the two first voltage values and the two second voltage values. In this embodiment, a specific method for obtaining the estimated resistance value of the insulation resistor is provided.
In addition, the first branch has the detection point, or the second branch has the detection point; calculating an estimated resistance value of the insulation resistor at least according to the first voltage value and the second voltage value, specifically: and calculating the estimated resistance value of the insulation resistor according to the first voltage value, the second voltage value and the acquired battery voltage of the battery pack. In the present embodiment, another specific method for obtaining the estimated resistance value of the insulation resistor is provided.
In addition, the method further includes performing the setting step again when a preset detection time update period is reached. In this embodiment, when the Y capacitance is obtained by a calculation method, the Y parameter may be updated again according to the actual condition of the entire vehicle, so as to update the first detection time and the second detection time. Namely, the first detection time and the second detection time can be adjusted according to the actual condition of the whole vehicle, the condition that the initially set first detection time and second detection time are not matched with the current vehicle condition due to the fact that vehicle devices are aged, the capacity value drifts and other condition influences is avoided, and therefore the accuracy of insulation fault detection in the life cycle of the whole vehicle can be improved.
Drawings
One or more embodiments are illustrated by way of example in the accompanying drawings, which correspond to the figures in which like reference numerals refer to similar elements and which are not to scale unless otherwise specified.
Fig. 1 is a flowchart of an insulation fault detection method according to a first embodiment of the present invention;
fig. 2A is a schematic diagram of the insulation fault detection circuit in a first connection state according to the first embodiment of the present invention;
fig. 2B is a schematic diagram of the insulation fault detection circuit of the first embodiment of the present invention in a second connection state;
fig. 3 is a voltage stability graph in the case where the resistance values of the insulation resistors connected in the same connection state are different in magnitude in the insulation fault detection circuit according to the first embodiment of the present invention;
FIG. 4 is a flowchart of an insulation fault detection method when the number of detection points is two in a second embodiment of the present invention;
FIG. 5 is a flowchart of an insulation fault detection method when the number of detection points is one in the second embodiment of the present invention;
fig. 6 is a flowchart of a manner of calculating the Y capacitance in the insulation fault detection method according to the third embodiment of the present invention;
fig. 7 is a block diagram of a control device according to a fifth embodiment of the present invention.
Detailed Description
In order to make the objects, technical solutions and advantages of the embodiments of the present invention more apparent, embodiments of the present invention will be described in detail below with reference to the accompanying drawings. However, it will be appreciated by those of ordinary skill in the art that numerous technical details are set forth in order to provide a better understanding of the present application in various embodiments of the present invention. However, the technical solution claimed in the present application can be implemented without these technical details and various changes and modifications based on the following embodiments.
A first embodiment of the present invention relates to an insulation fault detection method including a setting step and a detection step. Fig. 1 is a flowchart of an insulation fault detection method according to the present embodiment, wherein the setting step includes step 101, and the detection step includes steps 102 to 105.
Step 101: setting a first detection time and a second detection time. The first detection time and the second detection time are respectively the time length required by an insulation fault detection circuit connected with the battery pack to reach a stable state in the first connection state and the second connection state when the resistance value of the insulation resistor of the battery pack is a preset fault threshold value.
Step 102: and switching the insulation fault detection circuit to a first connection state, and sampling a detection point of the insulation fault detection circuit to obtain a first voltage value when first detection time is reached.
Step 103: and switching the insulation fault detection circuit to a second connection state, and sampling from the detection point to obtain a second voltage value when reaching second detection time.
Step 104: calculating an estimated resistance value of the insulation resistor at least according to the first voltage value and the second voltage value;
step 105: and obtaining a fault detection result according to the estimated resistance value and the fault threshold value.
Compared with the prior art, the method and the device have the advantages that when the resistance value of the insulation resistor is the preset fault threshold value, the time length required by the insulation fault detection circuit to reach the stable state in the first connection state and the second connection state is used as the first detection time and the second detection time. The smaller the resistance value of the insulation resistor is, the smaller the detection time is, and the preset fault threshold value is certainly smaller than the actual resistance value of the insulation resistor when the battery pack is in a safe state, and the first detection time and the second detection time are calculated according to the actual resistance value of the insulation resistor in the prior art, so that compared with the prior art, the first detection time and the second detection time in the embodiment of the invention are both reduced, and therefore, the sum of the first detection time and the second detection time is used as an insulation fault detection period and is also reduced; therefore, the insulation fault confirmation time is shortened, and the insulation fault is reported quickly. In addition, the first detection time and the second detection time are set according to the fault threshold, and the estimated resistance value of the insulation resistor is calculated by sampling the voltage according to the first detection time and the second detection time, so that the magnitude relation of the estimated resistance value of the insulation resistor and the fault threshold can accurately reflect the magnitude relation of the actual resistance value of the insulation resistor and the fault threshold, and the detection precision near the fault threshold can be ensured.
The following describes implementation details of the insulation fault detection method according to the present embodiment in detail, and the following description is only provided for easy understanding and is not necessary for implementing the present embodiment.
The insulation fault detection method of the present embodiment is applied to a control device that detects an insulation fault of a battery pack by an insulation fault detection circuit. The battery pack may be a battery pack in an electric vehicle, and this embodiment and the following embodiments are described by way of example; however, the present invention is not limited thereto. In this embodiment, the insulation fault detection circuit may be disposed on a circuit board in the electric vehicle, and the control device may be a microcontroller or a main controller of the electric vehicle.
Fig. 2A and 2B are schematic diagrams illustrating the insulation fault detection circuit in the present embodiment in the first connection state and the second connection state. Wherein, U represents a battery pack, Rp represents the anode insulation resistance of the battery pack, Rn represents the cathode insulation resistance of the battery pack, and Cp and Cn represent the Y capacitance of the battery pack; here, Rp and Rn are equivalent resistances rather than actual resistance elements, and Cp and Cn are equivalent capacitances rather than actual capacitance elements. In this embodiment, since the battery pack is mounted in an electric vehicle, Cp and Cn are influenced by each device of the electric vehicle, that is, Cp and Cn should be understood as equivalent capacitance when the battery pack is in the current environment.
The insulation fault detection circuit 10 includes a first branch, a second branch, a third branch, and a fourth branch; one end of the first branch is connected with the anode of the battery pack U, the other end of the first branch is connected with the grounding end, one end of the second branch is connected with the cathode of the battery pack U, and the other end of the second branch is connected with the grounding end; the third branch is connected with the first branch in parallel, and the fourth branch is connected with the second branch in parallel.
Specifically, the first branch includes a first resistor R1 and a second resistor R2, a first end of the first resistor R1 is connected to the positive electrode of the battery pack U, a second end of the first resistor R1 is connected to a first end of the second resistor R2, and a second end of the second resistor R2 is connected to the ground GND. The second branch circuit comprises a third resistor R3 and a fourth resistor R4, a first end of the fourth resistor R4 is connected to a negative electrode of a battery pack U of the electric vehicle, a second end of the fourth resistor R4 is connected to a first end of the third resistor R3, and a second end of the third resistor R3 is connected to a ground terminal GND. Preferably, the first branch may further include a first switch SW1, and the second branch may further include a second switch SW2 (the position of the first switch SW1 in the first branch and the position of the second switch SW2 in the second branch are not limited to those shown in fig. 2A). The third branch comprises an upper arm resistor R0 and a third switch SW3, a first end of the upper arm resistor R0 is connected to a first end of the first resistor R1, and a second end of the upper arm resistor R0 is connected to the ground GND through the third switch SW 3. The fourth branch comprises a lower arm resistor R0 and a fourth switch SW4, a first end of the lower arm resistor R0 is connected to a first end of the fourth resistor R4, and a second end of the lower arm resistor R0 is connected to the ground GND through the fourth switch SW 4. The ground terminal on the body case or the circuit board of the electric vehicle may be the ground terminal GND. The resistances of the first resistor R1, the second resistor R2, the third resistor R3, the fourth resistor R4, the upper arm resistor R0 and the lower arm resistor R0 are known and can be set according to actual conditions (the resistors are generally megaohm resistors so as not to affect the actual insulation of the whole vehicle). The first switch SW1, the second switch SW2, the third switch SW3 and the fourth switch SW4 are all controlled by a control device.
The insulation fault detection circuit 10 in fig. 2A and 2B is designed based on the bridge balancing method, and the insulation fault detection circuit shown in fig. 2A and 2B is used as an example to explain the embodiments of the present invention, but the present invention is not limited thereto; any circuit form designed based on the bridge balance method can be applied to the embodiment to realize the insulation fault detection method.
In step 101, a failure threshold is preset, where the failure threshold is the minimum value of the insulation resistance of the battery pack in a safe state (the battery pack does not have a leakage failure), and the failure threshold may be set according to national standard requirements or system design requirements. In this embodiment, the resistance value of the insulation resistor is a preset fault threshold value, which means that the positive insulation resistor Rp and the negative insulation resistor Rn are equal to the fault threshold value. Therefore, the first detection time refers to a time period required by the insulation fault detection circuit to reach the stable state in the first connection state when the resistance values of the positive insulation resistance Rp and the negative insulation resistance Rn of the battery pack are both equal to the fault threshold value, and the second detection time refers to a time period required by the insulation fault detection circuit to reach the stable state in the second connection state when the resistance values of the positive insulation resistance Rp and the negative insulation resistance Rn of the battery pack are both equal to the fault threshold value.
Preferably, the fault threshold may be set according to the accuracy requirement for the fault threshold. For example, if the accuracy requirement is x% and the failure threshold is Riso, the failure threshold set according to the accuracy requirement is Riso (1+ x%), that is, the failure threshold is floated by x%; it is possible to prevent that the calculated estimated resistance value of the insulation resistance is too large and insulation failure is not detected, so that insulation failure detection can be performed more reliably (generally, the failure threshold value is safer in positive bias and may be risky in negative bias). Wherein, the specific value of the precision requirement x% can be set according to the actual requirement.
The insulation fault detection circuit 10 can be switched between a first connection state (fig. 2A) and a second connection state (fig. 2B). One of the third branch and the fourth branch is selected as a switching branch; in the first connection state, the first branch and the second branch are connected, and the third branch and the fourth branch are disconnected; in the second connection state, the first branch and the second branch are accessed, and the branch access is switched. The switches SW3 and SW4 control the connection or disconnection of the third branch and the fourth branch respectively.
In the first connection state and the second connection state, the first branch and the second branch are both in the connection state, and the first switch SW1 and the second switch SW2 are used for disconnecting the first branch and the second branch from the battery pack when insulation fault detection is not needed. In fig. 2A and 2B, two connection states of the circuit are illustrated by taking the third branch as the switching branch, but not limited thereto.
In this embodiment, the first detection time and the second detection time may be calculated according to the fault threshold and the Y capacitance of the battery pack, that is, may be calculated by using a calculation formula of a time constant. In the insulation fault detection circuit 10 in fig. 2A and 2B, the time constant calculation formula in the first connection state and the second connection state is:
the time constant of the first linkage state, Tc1 ═ R1+ R2// (R3+ R4)// Rp// Rn × (Cp + Cn) formula (1)
The time constant of the second connection state, Tc2 ═ R1+ R2// (R3+ R4)// Rp// Rn// R0 (Cp + Cn) formula (2)
Wherein, Rp and Rn are both preset fault thresholds Riso, that is, Rp ═ Rn ═ Riso;
in the present embodiment, the Y capacitances Cp, Cn can be obtained by actual measurement, and thus,
the first detection time T1 is calculated by the formula T1 ═ R1+ R2// (R3+ R4)// Riso ((Cp + Cn)
The second detection time T2 is calculated by the formula T2 ═ R1+ R2// (R3+ R4)// Riso// R0 (Cp + Cn)
In other examples, the first detection time and the second detection time may be obtained by direct measurement. For example, a test is performed based on a battery pack with an insulation resistor having a resistance Rp ═ Rn ═ Riso, the insulation fault detection circuit is controlled to enter the first connection state, a stable voltage in the first connection state is obtained through sampling, a sampling time corresponding to the stable voltage is recorded, and a difference between the sampling time and the entering time of the first connection state is used as a first detection time T1; switching the insulation fault detection method from the first connection state to the second connection state, sampling to obtain a stable voltage in the second connection state, recording a sampling time corresponding to the stable voltage, and taking the difference between the sampling time and the entering time of the second connection state as second detection time T2.
In this embodiment, the first detection time and the second detection time are obtained by calculation, which is faster and more convenient than obtaining the first detection time and the second detection time by direct measurement (there is no need to design a battery pack with an insulation resistor having a resistance Rp ═ Rn ═ Riso in advance).
In steps 102 and 103, when the insulation fault detection circuit 10 switches between the first connection state and the second connection state, the first detection time T1 is used as a switching period from the first connection state to the second connection state, and the second detection time T2 is used as a switching period from the second connection state to the first connection state.
When the detection is started, the insulation fault detection circuit 10 is controlled to enter a first connection state (SW1 and SW2 are both closed, and SW3 and SW3 are both opened), and when a first detection time T1 is reached, a first voltage value is obtained by sampling from a detection point; then, the insulation fault detection circuit 10 is switched from the first connection state to the second connection state (SW1, SW2 are both closed, one of SW3, SW3 is closed, and the other is open), and when the second detection time T2 is reached, a second voltage value is sampled from the detection point. In this embodiment, the execution sequence of step 102 and step 103 is not limited at all, that is, the insulation fault detection circuit may also enter the second connection state first, and then switch from the second connection state to the first connection state (step 103 is executed first, and step 102 is executed second).
In step 104, the estimated resistance of the positive insulation resistance Rp and the estimated resistance of the negative insulation resistance Rn are calculated.
In step 105, comparing the magnitude relation between the estimated resistance value and the fault threshold value, and when the estimated resistance value of the positive insulation resistor is smaller than the fault threshold value and/or the estimated resistance value of the negative insulation resistor is smaller than the fault threshold value, obtaining a fault detection result that an insulation fault exists; and when the estimated resistance value of the anode insulation resistor is greater than or equal to the fault threshold value and the estimated resistance value of the cathode insulation resistor is greater than or equal to the fault threshold value, obtaining a fault detection result that no insulation fault exists.
In this embodiment, the setting step may be performed when the electric vehicle leaves the factory (the entire vehicle is off-line), so as to set the first detection time and the second detection time of the battery pack of the electric vehicle; in the use of the electric vehicle, the detection step may be repeatedly performed, thereby detecting the insulation failure of the battery pack in real time. Wherein, the detection step is executed once, and the required time is T-T1 + T2, so that a fault detection result can be obtained; that is, in the insulation fault detection method according to the present embodiment, the detection cycle of the insulation fault (fault reporting cycle) is T1+ T2. In other words, during the use of the electric vehicle, the insulation of the battery pack of the electric vehicle is detected with a detection period T of T1+ T2.
The reason why the detection period T of the insulation fault is small compared to the detection period of the related art is specifically analyzed as follows.
Fig. 3 is a voltage stability graph showing the case where the resistance values of the insulation resistors connected by the insulation fault detection circuit in the same connection state are different. Wherein the horizontal axis represents time t and the vertical axis represents voltage v; the resistance values Ri1 > Ri2 > Ri3, t1 < t 2< t3, and t1, t2, and t3 are the voltage stabilization times under Ri1, Ri2, and Ri3, respectively, and it is known that the larger the resistance value of the insulation resistor is, the longer the voltage stabilization time is (or, as can be seen from equations (1) and (2), the larger the resistance value of the insulation resistor is, the larger the time constant is, that is, the longer the stabilization time of the circuit is). In the prior art, the detection time is calculated according to the actual resistance value (generally, the actual resistance value when the battery pack leaves a factory) of the insulation resistor when the battery pack is in the safe state, and the preset fault threshold value is certainly smaller than the actual resistance value, so that the first detection time T1 and the second detection time T2 set according to the method of the present application are both reduced compared with the prior art, and therefore, the detection period (fault reporting period) T ═ T1+ T2 of the insulation fault is also reduced compared with the prior art. Therefore, the insulation fault detection method of the embodiment can shorten the insulation fault confirmation time and report the insulation fault quickly.
In the present embodiment, the sampling is performed at the first detection time T1 and the second detection time T2, which corresponds to sampling the voltage of the insulation fault detection circuit before the voltage is stabilized, and calculating the estimated resistance value of the insulation resistance for the battery pack in the safe state. It should be noted that, although the estimated resistance value calculated by sampling the voltage before the voltage is stabilized may not be completely consistent with the actual resistance value, since the first detection time T1 and the second detection time T2 are set according to the fault threshold value, and the estimated resistance value of the insulation resistor is calculated by sampling the voltage according to the first detection time T1 and the second detection time T2, the relationship between the estimated resistance value of the insulation resistor and the fault threshold value can accurately reflect the relationship between the actual resistance value of the insulation resistor and the fault threshold value, that is, the insulation fault detection method of the present application can ensure the detection accuracy around the fault threshold value.
A second embodiment of the invention relates to an insulation fault detection method. The second embodiment is substantially the same as the first embodiment, and mainly comprises the following components: in the second embodiment, a specific acquisition method of the estimated resistance value of the insulation resistance is provided.
The present embodiment provides two methods of obtaining the estimated resistance value of the insulation resistor, as follows.
A first method of obtaining an estimated resistance value of an insulation resistance: the number of the detection points is two, namely the first branch and the second branch are respectively provided with one detection point.
As shown in fig. 2A and 2B, a detection point a (for sampling the voltage across the second resistor R2) is located between the first resistor R1 and the second resistor R2 of the first branch, and a detection point B (for sampling the voltage across the fourth resistor R4) is located between the third resistor R3 and the fourth resistor R4 of the second branch, so that the detection point a and the detection point B need to be sampled separately.
Fig. 4 is a flowchart of the insulation fault detection method when the number of detection points is two. Wherein, steps 201 and 205 are substantially the same as steps 101 and 105 in the first embodiment, and are not repeated herein, except that,
step 202 specifically includes switching the insulation fault detection circuit to a first connection state, and sampling two first voltage values from two detection points when a first detection time is reached. That is, the first voltage value Va1 collected from the detection point a, and the first voltage value Vb1 collected from the detection point B.
Step 203 specifically is to switch the insulation fault detection circuit to a second connection state, and when the second detection time is reached, obtain two second voltage values by sampling from two detection points. That is, the second voltage value Va2 collected from the detection point a, and the second voltage value Vb2 collected from the detection point B.
Step 204 is specifically to calculate an estimated resistance value of the insulation resistor according to the two first voltage values and the two second voltage values.
Based on the principle of partial pressure, the following formula can be obtained:
va1 ═ R2/(R1+ R2) ((R1+ R2)// Rp)/((R1+ R2)// Rp + (R3+ R4)// Rn) × U formula (3)
Vb1 ═ R4/(R3+ R4) ((R3+ R4)// Rn)/((R1+ R2)// Rp + (R3+ R4)// Rn) × U formula (4)
Va2 ═ R2/(R1+ R2) ((R1+ R2)// Rp// R0)/((R1+ R2)// Rp// R0+ (R3+ R4)// Rn): U formula (5)
Vb2 ═ R4/(R3+ R4) ((R3+ R4)// Rn)/((R1+ R2)// Rp// R0+ (R3+ R4)// Rn) × U formula (6)
Wherein U represents the voltage across the positive and negative terminals of the battery pack.
In the above formulas (3) to (6), the quotient of two formulas is used to eliminate U, so as to obtain two equations related to Rp and Rn (for example, the quotient of the formula (3) and the formula (4) is used to obtain one equation, the quotient of the formula (5) and the formula (6) is used to obtain the other equation), and the estimated resistance values of Rp and Rn can be obtained after solving,
the estimated resistance of the positive insulation resistance Rp is:
Rp1＝R0*(R1+R2)*(Va1*Vb2-Vb1*Va2)/[(R0+R1+R2)*Vb1*Va2-R0*Va1*Vb2]
the estimated resistance of the negative insulation resistance Rn is:
Rn1＝R0*R2*(R3+R4)*(Vb1*Va2-Va1*Vb2)/[R0*R2*(Va1*Vb2-Vb1*Va2)-(R1+R2)*R4*Va1*Va2]
it should be noted that the above four formulas are obtained based on the insulation fault detection circuit 10 in fig. 2A and 2B, and when the specific structure of the insulation fault detection circuit 10 changes, the formulas can also change adaptively, but all the formulas can be obtained based on the voltage division principle.
Further, after step 202 and before step 203, the method may further include: judging the magnitude relation of the two first voltage values, and if a detection point corresponding to the larger first voltage value belongs to the first branch, selecting the third branch as a switching branch; and if the detection point corresponding to the larger first voltage value belongs to the second branch, selecting the fourth branch as the switching branch. Namely, the magnitude relation between Va1 and Vb1 is judged, if Va1 is greater than Vb1, it indicates that the resistance value of the positive insulation resistance Rp parallel to the first branch is greater than the negative insulation resistance Rn parallel to the second branch, and at this time, the third branch is selected as a switching branch, that is, the third branch is switched in the second connection state (since the positive insulation resistance Rp is greater than the negative insulation resistance Rn, the third branch (R0) is connected in parallel to the positive insulation resistance Rp, which is safer than that the fourth branch (R0) is connected in parallel to the negative insulation resistance Rp); otherwise, the fourth branch is selected as the switching branch.
The second method for obtaining the estimated resistance value of the insulation resistance comprises the following steps: the number of detection points is one, i.e. the first branch has a detection point, or the second branch has a detection point. Referring to fig. 2A and fig. 2B, sampling is performed only by using detection point a, or sampling is performed only by using detection point B.
Fig. 5 is a flowchart of the insulation fault detection method when the number of detection points is one. Wherein, steps 301 and 305 are substantially the same as steps 101 and 105 in the first embodiment, and are not repeated herein, wherein,
in step 302, a first voltage value is sampled from a detection point; in step 303, a second voltage value is sampled from the detection point.
Step 304 specifically includes calculating an estimated resistance value of the insulation resistor according to the first voltage value, the second voltage value, and the acquired battery voltage of the battery pack.
Taking sampling only at the detection point a as an example, Va1 is obtained by sampling the first connection state, Va2 is obtained by sampling the second connection state, and the above equations (3) and (5) can be obtained; substituting the voltage value U at the two ends of the anode and the cathode of the battery pack into formula (3) and formula (5), so that formula (3) and formula (5) become two equations about Rp and Rn, and solving to obtain Rp and Rn, wherein the specific formula is as follows:
the voltage value U may be obtained by designing a new high-voltage sampling circuit, or by directly sampling the battery pack using an existing high-voltage sampling circuit.
In the second obtaining method of the estimated resistance value of the insulation resistance, one of the third branch and the fourth branch may be selected as a switching branch.
According to the two acquisition modes, if only one detection point is used, the number of sampled voltage values is relatively small, and the number of equations needed to be used in the calculation process is relatively small; but the voltage value U of the battery pack needs to be introduced in the calculation process. If two detection points are used, the number of sampled voltage values is relatively large, and the number of equations needed to be used in the calculation process is relatively large; however, the voltage value of the battery pack is not needed in the calculation, so that the circuit design can be simplified (U does not need to be obtained through a high-voltage sampling loop), the influence on the calculation values of Rp and Rn caused by the real-time fluctuation of U can be avoided, and the calculated Rp and Rn are more accurate.
A third embodiment of the invention relates to an insulation fault detection method. The third embodiment is substantially the same as the second embodiment, and mainly differs in that: in the second embodiment, the Y capacitances Cp, Cn can be obtained by actual measurement, while in the third embodiment, the Y capacitances Cp, Cn are obtained from calculation.
Fig. 6 is a flowchart showing a method of calculating the Y capacitance in the insulation fault detection method according to the third embodiment of the present invention.
Specifically, after switching the insulation fault detection circuit 10 to the first connection state, voltage values are periodically collected from the detection points, and the voltage values collected two times adjacent to each other are compared, and if the voltage values collected two times adjacent to each other satisfy the condition of (U1-U2)/U2< U%, it can be considered that the voltage of the circuit has reached a steady state, and U1 is taken as the first steady voltage value; wherein, U1 is the voltage value collected at the next time, U2 is the voltage value collected at the previous time, and U% is the preset change rate (the specific value of U% can be set according to the actual precision requirement).
When the insulation fault detection circuit 10 has two detection points, as in the first acquisition mode in the second embodiment, two first steady-state voltage values may be sampled from the two detection points. That is, one first steady-state voltage value Ua1 is sampled from detection point a, and the other first steady-state voltage value Ub1 is sampled from detection point B.
When the insulation fault detection circuit has only one detection point, as in the second acquisition mode in the second embodiment, a first steady-state voltage value can be obtained by sampling from one detection point. That is, the first steady-state voltage value Ua1 is sampled from the detection point a, or the first steady-state voltage value Ub1 is sampled from the detection point B.
Specifically, the sampling timing of U2 is recorded, and the time difference between the sampling timing of U2 and the timing at which the insulation fault detection circuit 10 enters the first connection state is recorded as the first time constant τ 1, that is, the time required for the insulation fault detection circuit 10 to switch to the first connection state and reach voltage stabilization. When U1 and U2 satisfy (U1-U2)/U2< U%, it indicates that both the sampling timings of U1 and U2 are in a voltage stable state, and U2 is acquired before U1, so that the first time constant τ 1 calculated by the sampling timing of U2 is shorter than the first time constant τ 1 calculated by the sampling timing of U1, and therefore the first time constant τ 1 is calculated by the sampling timing of U2 here. However, the present invention is not limited to this, and the first time constant τ 1 calculated at the sampling timing of U1 (i.e., the time difference between the sampling timing of U1 and the timing at which the insulation fault detection circuit 10 enters the first connection state may be used as the first time constant) may be used.
When the insulation fault detection circuit has two detection points (as in the first acquisition mode in the second embodiment), only one detection point is selected, the sampling time of the first steady-state voltage value of the detection point is recorded, and the first time constant τ 1 of the insulation fault detection circuit is calculated according to the sampling time of the first steady-state voltage value of the detection point.
The manner of obtaining the second stable voltage value is similar to the specific manner of obtaining the first stable voltage value, and is not described herein again.
When the insulation fault detection circuit 10 has two detection points, one second steady-state voltage value Ua2 is sampled from the detection point a, and the other second steady-state voltage value Ub2 is sampled from the detection point B.
When the insulation fault detection circuit has only one detection point, a second steady-state voltage value Ua2 is obtained by sampling from the detection point A, or a second steady-state voltage value Ub2 is obtained by sampling from the detection point B.
The second time constant τ 2 is obtained in a manner similar to that of the first time constant τ 1, and is not described herein again.
When the insulation fault detection circuit has two detection points (as in the first acquisition manner in the second embodiment), step 405 specifically calculates actual resistance values (the positive insulation resistance Rp and the negative insulation resistance Rn) of the insulation resistance according to two first steady-state voltages and two second steady-state voltages; the specific calculation method is substantially the same as step 204 in the second embodiment, and is not described herein again. The calculated actual resistance values of Rp and Rn are as follows,
the actual resistance of the positive insulation resistance Rp is:
Rp0＝R0*(R1+R2)*(Ua1*Ub2-Ub1*Ua2)/[(R0+R1+R2)*Ub1*Ua2-R0*Ua1*Ub2]
the actual resistance of the negative insulation resistance Rn is:
Rn0＝R0*R2*(R3+R4)*(Ub1*Ua2-Ua1*Ub2)/[R0*R2*(Ua1*Ub2-Ub1*Ua2)-(R1+R2)*R4*Ua1*Ua2]
when the insulation fault detection circuit has only one detection point (as in the first acquisition manner in the second embodiment), step 405 specifically calculates actual resistance values (the positive insulation resistance Rp and the negative insulation resistance Rn) of the insulation resistance according to the first steady-state voltage value, the second steady-state voltage value, and the acquired battery voltage of the battery pack; the specific calculation method is substantially the same as that in step 304 in the second embodiment, and is not described herein again. The calculated actual resistance values of Rp0 and Rn0 are as follows,
After the actual resistance values (the positive insulation resistance Rp and the negative insulation resistance Rn) of the insulation resistance and the first time constant τ 1 are substituted into the calculation formula of the time constant (as shown in formula (1)), the sum of the Y capacitances Cp and Cn can be obtained by solving, specifically:
Cp+Cn＝τ1/((R1+R2)//(R3+R4)//Rp//Rn)
or, after the actual resistance values (the positive insulation resistance Rp and the negative insulation resistance Rn) of the insulation resistance and the second time constant are substituted into the calculation formula (equation (2)) of the time constant, the sum of the Y capacitances Cp and Cn can be obtained by solving, specifically:
Cp+Cn＝τ2/((R1+R2)//(R3+R4)//Rp//Rn//R0)
it should be noted that (Cp + Cn) calculated in the above two ways should be consistent; here, if (Cp + Cn) is calculated, the time constant equations (equation (1) and (2)) may be substituted to calculate the time constant Tc1 of the first connection state and the time constant Tc2 of the second connection state.
In this embodiment, the Y capacitor of the battery pack is calculated from a steady-state voltage value obtained by sampling the detection point of the insulation fault detection circuit 10. Because the Y electric capacity receives whole car environment and load equipment influence great, each vehicle of same model also has the difference in fact, consequently, for the scheme that the Y electric capacity is obtained through laboratory actual measurement and same model vehicle uses same measured value, can calculate the Y electric capacity alone to each vehicle for the Y electric capacity of each vehicle is more accurate, thereby makes the settlement of the first check time and the second check time of each vehicle more accurate.
It should be noted that this embodiment may also be an improvement on the first embodiment.
A fourth embodiment of the present invention relates to an insulation fault detection method. The fourth embodiment is substantially the same as the third embodiment, and mainly modified in that: in the fourth embodiment, the setting step may be periodically performed to periodically update the first detection time and the second detection time. Please refer to fig. 1 and fig. 6.
Specifically, a detection time update period may be preset, and when the entire vehicle leaves a factory, the setting step is executed for the first time, and initial first detection time and second detection time are obtained; when the detection time update period is reached in the use process of the electric automobile, the setting step is repeatedly executed. For example, the detection time update period is set to 6 months, and the setting step is repeatedly performed every 6 months after the setting step is first performed to update the first detection time and the second detection time. When this setting step is performed, the Y capacitance may be recalculated according to the method described in the third embodiment, and the first detection time and the second detection time may be recalculated. Because the Y capacitor is changed due to the influences of aging of devices, capacitance value drifting and the like in the using process of the electric automobile, the calculated Y capacitor can be different from the last Y capacitor, the updated first detection time and the updated second detection time are different from the updated first detection time and the updated second detection time, the updated first detection time and the updated second detection time are more consistent with the current automobile condition of the electric automobile, the estimated resistance value of the detected insulation resistor is more consistent with the actual condition, and the accuracy of insulation fault detection in the life cycle of the whole automobile is improved. Namely, the insulation detection precision in the life cycle of the whole vehicle can be ensured by means of Y capacitor self-learning. It should be noted that, when the battery pack is applied to other electrical devices, the Y capacitor may also change due to the effects of aging of devices of other electrical devices, capacitance drift, and the like, so that the setting step is periodically executed to also improve the accuracy of the insulation fault detection in the life cycle of other electrical devices.
Preferably, the setting step is re-executed, requiring a determination that the electric vehicle is powered on and stationary. For example, when the setting step is executed up to 6 months from the last time, and when it is detected that the electric vehicle is in a power-on and stationary state, the setting step is executed again. The setting step is executed when the electric automobile is in a static state, so that the problem that the accuracy of the sampled voltage is influenced by interference factors in the starting process of the automobile, and the accuracy of the first detection time and the accuracy of the second detection time are influenced can be solved.
In this case, the Y capacitance may be re-measured (actually measured) each time the setting step is performed, and the first detection time and the second detection time may be updated by the re-measured Y capacitance.
The steps of the above methods are divided for clarity, and the implementation may be combined into one step or split some steps, and the steps are divided into multiple steps, so long as the same logical relationship is included, which are all within the protection scope of the present patent; it is within the scope of the patent to add insignificant modifications to the algorithms or processes or to introduce insignificant design changes to the core design without changing the algorithms or processes.
A fifth embodiment of the present invention relates to a control device, as shown in fig. 7, including: at least one processor 1; and the number of the first and second groups,
a memory 2 communicatively coupled to the at least one processor; wherein,
the memory 2 stores instructions executable by the at least one processor to enable the at least one processor 1 to perform the insulation fault detection method according to any one of the first to fourth embodiments.
Preferably, the control device in this embodiment further includes a sampling module 3, the sampling module 3 is connected between the detection point of the insulation resistance detection circuit and the processor 1, and the sampling module 3 is configured to sample a voltage at the detection point of the insulation resistance detection circuit.
Where the memory and processor are connected by a bus, the bus may comprise any number of interconnected buses and bridges, the buses connecting together one or more of the various circuits of the processor and the memory. The bus may also connect various other circuits such as peripherals, voltage regulators, power management circuits, and the like, which are well known in the art, and therefore, will not be described any further herein. A bus interface provides an interface between the bus and the transceiver. The transceiver may be one element or a plurality of elements, such as a plurality of receivers and transmitters, providing a means for communicating with various other apparatus over a transmission medium. The data processed by the processor is transmitted over a wireless medium via an antenna, which further receives the data and transmits the data to the processor.
The processor is responsible for managing the bus and general processing and may also provide various functions including timing, peripheral interfaces, voltage regulation, power management, and other control functions. And the memory may be used to store data used by the processor in performing operations.
A sixth embodiment of the present invention relates to a computer-readable storage medium storing a computer program. The computer program realizes the above-described method embodiments when executed by a processor.
That is, as can be understood by those skilled in the art, all or part of the steps in the method for implementing the embodiments described above may be implemented by a program instructing related hardware, where the program is stored in a storage medium and includes several instructions to enable a device (which may be a single chip, a chip, or the like) or a processor (processor) to execute all or part of the steps of the method described in the embodiments of the present application. And the aforementioned storage medium includes: a U-disk, a removable hard disk, a Read-Only Memory (ROM), a Random Access Memory (RAM), a magnetic disk or an optical disk, and other various media capable of storing program codes.
It will be understood by those of ordinary skill in the art that the foregoing embodiments are specific examples for carrying out the invention, and that various changes in form and details may be made therein without departing from the spirit and scope of the invention in practice.
Claims (11)
1. An insulation fault detection method, comprising:
a setting step, including setting a first detection time and a second detection time; the first detection time and the second detection time are respectively the time length required for an insulation fault detection circuit connected with the battery pack to reach a stable state in a second connection state under a first connection state when the resistance value of the insulation resistor of the battery pack is a preset fault threshold value;
a detection step, comprising the steps of,
switching the insulation fault detection circuit to the first connection state, and sampling a detection point of the insulation fault detection circuit to obtain a first voltage value when the first detection time is reached;
switching the insulation fault detection circuit to the second connection state, and sampling from the detection point to obtain a second voltage value when the second detection time is reached;
calculating an estimated resistance value of the insulation resistor at least according to the first voltage value and the second voltage value;
and obtaining a fault detection result according to the estimated resistance value and the fault threshold value.
2. The insulation fault detection method according to claim 1, wherein the first detection time and the second detection time are calculated according to the fault threshold and a Y capacitance of the battery pack.
3. The insulation fault detection method according to claim 2, wherein the calculation of the Y capacitance includes:
switching the insulation fault detection circuit to the first connection state, and sampling detection points of the insulation fault detection circuit to obtain a first steady-state voltage value;
calculating a first time constant of the insulation fault detection circuit according to the sampling time of the first steady-state voltage value;
switching the insulation fault detection circuit to the second connection state, and sampling detection points of the insulation fault detection circuit to obtain a second steady-state voltage value;
calculating a second time constant of the insulation fault detection circuit according to the sampling time of the second steady-state voltage value;
calculating the actual resistance value of the insulation resistor at least according to the first steady-state voltage and the second steady-state voltage;
and calculating the Y capacitor according to the actual resistance value of the insulation resistor, the first time constant and the second time constant.
4. The insulation fault detection method of claim 1, wherein the insulation fault detection circuit includes a first branch, a second branch, a third branch, and a fourth branch; one end of the first branch is connected to the positive pole of the battery pack, the other end of the first branch is connected to the ground terminal, one end of the second branch is connected to the negative pole of the battery pack, and the other end of the second branch is connected to the ground terminal; the third branch is connected with the first branch in parallel, and the fourth branch is connected with the second branch in parallel.
5. The insulation fault detection method according to claim 4, wherein one of said detection points of said first branch and said second branch is used as two of said detection points of said insulation fault detection circuit;
sampling from detection points of the insulation fault detection circuit to obtain first voltage values, specifically, sampling from two detection points to obtain two first voltage values;
sampling from the detection points to obtain second voltage values, specifically, sampling from the two detection points to obtain two second voltage values;
and calculating the estimated resistance value of the insulation resistor at least according to the first voltage value and the second voltage value, specifically, calculating the estimated resistance value of the insulation resistor according to the two first voltage values and the two second voltage values.
6. The insulation fault detection method according to claim 5, further comprising, before said switching the insulation fault detection circuit to the second connection state:
judging the magnitude relation of the two first voltage values, and if the detection point corresponding to the larger first voltage value belongs to the first branch, selecting the third branch as a switching branch; if the detection point corresponding to the larger first voltage value belongs to the second branch, selecting the fourth branch as the switching branch;
in the first connection state, the first branch and the second branch are connected to the insulation fault detection circuit; in the second connection state, the first branch circuit, the second branch circuit and the switching branch circuit are connected to the insulation fault detection circuit.
7. The insulation fault detection method according to claim 4, wherein the first branch has the detection point, or the second branch has the detection point;
calculating an estimated resistance value of the insulation resistor at least according to the first voltage value and the second voltage value, specifically: and calculating the estimated resistance value of the insulation resistor according to the first voltage value, the second voltage value and the acquired battery voltage of the battery pack.
8. The insulation fault detection method according to any one of claims 1 to 7, further comprising performing the setting step again when a preset detection time update period is reached.
9. The insulation fault detection method according to any one of claims 1 to 7, wherein the detecting step is repeatedly performed.
10. A control device, comprising:
at least one processor; and the number of the first and second groups,
a memory communicatively coupled to the at least one processor; wherein,
the memory stores instructions executable by the at least one processor to enable the at least one processor to perform the insulation fault detection method of any one of claims 1 to 9.
11. A computer-readable storage medium storing a computer program, wherein the computer program, when executed by a processor, implements the insulation fault detection method of any one of claims 1 to 9.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810350451.6A CN110389289B (en) | 2018-04-18 | 2018-04-18 | Insulation fault detection method and control device |
Applications Claiming Priority (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN201810350451.6A CN110389289B (en) | 2018-04-18 | 2018-04-18 | Insulation fault detection method and control device |
Publications (2)
| Publication Number | Publication Date |
|---|---|
| CN110389289A CN110389289A (en) | 2019-10-29 |
| CN110389289B true CN110389289B (en) | 2021-06-11 |
Family
ID=68284123
Family Applications (1)
| Application Number | Title | Priority Date | Filing Date |
|---|---|---|---|
| CN201810350451.6A Active CN110389289B (en) | 2018-04-18 | 2018-04-18 | Insulation fault detection method and control device |
Country Status (1)
| Country | Link |
|---|---|
| CN (1) | CN110389289B (en) |
Families Citing this family (14)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN111208395A (en) * | 2020-01-16 | 2020-05-29 | 一汽解放汽车有限公司 | Vehicle insulation state detection method and device, vehicle and storage medium |
| CN111624448B (en) * | 2020-05-22 | 2021-02-12 | 博雷顿科技有限公司 | High-voltage insulation fault detection method and device, electronic equipment and system |
| CN111650488A (en) * | 2020-07-16 | 2020-09-11 | 广州小鹏车联网科技有限公司 | Insulation detection method and device for vehicle battery management system |
| CN111976539B (en) * | 2020-07-23 | 2022-01-21 | 蜂巢能源科技有限公司 | Method, apparatus, medium, and device for determining voltage change rate of battery |
| CN114252712A (en) * | 2020-09-25 | 2022-03-29 | 北京宝沃汽车股份有限公司 | Battery pack insulation detection circuit and method and vehicle |
| CN112557930A (en) * | 2020-11-30 | 2021-03-26 | 蜂巢能源科技有限公司 | Battery pack insulation performance monitoring method and device and vehicle |
| CN112798975B (en) * | 2020-12-29 | 2024-05-03 | 智新控制系统有限公司 | Insulation detection circuit and detection method for high-voltage battery pack |
| CN114720821A (en) * | 2021-01-05 | 2022-07-08 | 比亚迪股份有限公司 | Vehicle-mounted insulation detection method, device and system, vehicle and storage medium |
| CN115201565A (en) * | 2021-04-13 | 2022-10-18 | 广汽埃安新能源汽车有限公司 | Insulation detection method and device and controller |
| CN113358933B (en) * | 2021-06-04 | 2024-01-12 | 度普(苏州)新能源科技有限公司 | Insulation resistance detection method and device for movable energy storage charging pile |
| CN114295945B (en) * | 2021-12-29 | 2023-10-03 | 湖北亿纬动力有限公司 | Insulation detection method, device and system |
| CN114670643B (en) * | 2022-03-30 | 2023-05-23 | 重庆长安新能源汽车科技有限公司 | Insulation fault diagnosis method, device, controller and medium |
| CN116953360B (en) * | 2023-09-20 | 2024-01-19 | 上海派能能源科技股份有限公司 | Insulation resistance rapid detection method of energy storage equipment |
| CN117686940B (en) * | 2024-02-04 | 2024-04-23 | 上海派能能源科技股份有限公司 | Fault positioning method and circuit of energy storage device |
Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN103389444A (en) * | 2013-07-24 | 2013-11-13 | 中达电通股份有限公司 | Switching type insulation monitoring error self-adapting method based on voltage prediction |
| CN104142475A (en) * | 2013-05-06 | 2014-11-12 | 广州汽车集团股份有限公司 | Device and method for evaluating insulation detecting module |
| CN105785129A (en) * | 2016-05-30 | 2016-07-20 | 福建万润新能源科技有限公司 | Novel insulation detection device for electric automobiles |
| CN105911353A (en) * | 2016-04-15 | 2016-08-31 | 广州汽车集团股份有限公司 | Automobile insulation resistance detection circuit and method |
| CN106226670A (en) * | 2016-09-05 | 2016-12-14 | 深圳市沛城电子科技有限公司 | The insulation detecting circuit of electric automobile and method |
| CN106569137A (en) * | 2016-10-20 | 2017-04-19 | 深圳市沃特玛电池有限公司 | Insulation detection system and insulation detection method |
| CN107015127A (en) * | 2017-04-19 | 2017-08-04 | 重庆长安汽车股份有限公司 | A kind of new-energy automobile and its insulation detecting method, system |
| CN107860975A (en) * | 2017-10-13 | 2018-03-30 | 东莞钜威动力技术有限公司 | Power battery insulation resistance detection method, insulation method for early warning and electronic equipment |
Family Cites Families (1)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| WO2012122131A2 (en) * | 2011-03-04 | 2012-09-13 | Paceco Corp | Measurement of insulation resistance of configurable photovoltaic panels in a photovoltaic array |
-
2018
- 2018-04-18 CN CN201810350451.6A patent/CN110389289B/en active Active
Patent Citations (8)
| Publication number | Priority date | Publication date | Assignee | Title |
|---|---|---|---|---|
| CN104142475A (en) * | 2013-05-06 | 2014-11-12 | 广州汽车集团股份有限公司 | Device and method for evaluating insulation detecting module |
| CN103389444A (en) * | 2013-07-24 | 2013-11-13 | 中达电通股份有限公司 | Switching type insulation monitoring error self-adapting method based on voltage prediction |
| CN105911353A (en) * | 2016-04-15 | 2016-08-31 | 广州汽车集团股份有限公司 | Automobile insulation resistance detection circuit and method |
| CN105785129A (en) * | 2016-05-30 | 2016-07-20 | 福建万润新能源科技有限公司 | Novel insulation detection device for electric automobiles |
| CN106226670A (en) * | 2016-09-05 | 2016-12-14 | 深圳市沛城电子科技有限公司 | The insulation detecting circuit of electric automobile and method |
| CN106569137A (en) * | 2016-10-20 | 2017-04-19 | 深圳市沃特玛电池有限公司 | Insulation detection system and insulation detection method |
| CN107015127A (en) * | 2017-04-19 | 2017-08-04 | 重庆长安汽车股份有限公司 | A kind of new-energy automobile and its insulation detecting method, system |
| CN107860975A (en) * | 2017-10-13 | 2018-03-30 | 东莞钜威动力技术有限公司 | Power battery insulation resistance detection method, insulation method for early warning and electronic equipment |
Non-Patent Citations (2)
| Title |
|---|
| Effect of DBDS on DC Resistance of paper oil insulation system;Faheem Ahmed Khan 等;《2015 International Conference on Power and Advanced Control Engineering (ICPACE)》;20150814;全文 * |
| 电动汽车有源式绝缘监测方法研究;王嘉悦 等;《电测与仪表》;20110525;第48卷(第545期);全文 * |
Also Published As
| Publication number | Publication date |
|---|---|
| CN110389289A (en) | 2019-10-29 |
Similar Documents
| Publication | Publication Date | Title |
|---|---|---|
| CN110389289B (en) | Insulation fault detection method and control device | |
| US20100066377A1 (en) | Method for determining the battery capacity with the aid of capacity-dependent parameters | |
| KR101758408B1 (en) | Device and method for determining a range of a battery characteristic curve | |
| CN106997007B (en) | Insulation resistance measuring device and method for electric automobile direct-current high-voltage system | |
| CN103176135A (en) | Battery aging evaluation method | |
| CN102652265A (en) | Measuring isolated high voltage and detecting isolation breakdown with measures for self-detection of circuit faults | |
| CN111579872B (en) | System and method for monitoring automobile insulation resistance in real time | |
| US20090174410A1 (en) | Method and apparatus for controlling battery | |
| CN106451592A (en) | Battery charging and discharging control method, battery charging and discharging control device and electric car | |
| US11852670B2 (en) | Method for monitoring insulation monitoring circuit and battery management system | |
| CN110426556B (en) | Method for testing insulation resistance of whole vehicle | |
| CN112240960B (en) | Test method, test device, computer equipment and storage medium | |
| CN114270198A (en) | Insulation resistance detection circuit, method and device and storage medium thereof | |
| CN114325430A (en) | Power battery SOC calibration method, calibration device, storage medium and processor | |
| CN108398598B (en) | Apparatus and method for measuring isolation resistance of battery powered system | |
| CN111766502B (en) | Fault detection circuit and fault detection method | |
| CN115078939A (en) | Insulation test method, circuit and device for DC charging pile and computer storage medium | |
| Li et al. | State-of-Charge Estimation of Supercapacitors: A Switched Systems Approach | |
| CN110286317B (en) | Diagnostic circuit and method of battery system | |
| US8643333B2 (en) | Battery stack cell monitor | |
| KR102661623B1 (en) | System and method for diagnosing battery current sensor | |
| CN113765205A (en) | Standby power supply of electronic system and operation method thereof | |
| CN113270649B (en) | Battery control device, battery control method, storage medium, and vehicle | |
| CN112928344B (en) | Voltage detection circuit and method of power battery circuit | |
| CN117706392B (en) | Battery testing method, system, equipment and 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 | ||
| TR01 | Transfer of patent right |
Effective date of registration: 20220119 Address after: 352100 science and technology building, No. 2, Xingang Road, Zhangwan Town, Jiaocheng District, Ningde City, Fujian Province Patentee after: Ningde Shidai Runzhi Software Technology Co.,Ltd. Address before: 352100 Xingang Road, Zhangwan Town, Jiaocheng District, Ningde, Fujian 2 Patentee before: Contemporary Amperex Technology Co.,Ltd. |
|
| TR01 | Transfer of patent right |