Aircraft lithium battery pack health state detection method, related equipment and storage medium

Abstract

The invention discloses an aircraft lithium battery pack health state detection method, related equipment and a storage medium, and the method comprises the steps: obtaining first pressure data and second pressure data collected based on a pressure film sensor disposed in a lithium battery pack in a process that an aircraft executes a flight task; on the basis of the first pressure data and the second pressure data, the airborne monomer equivalent film pressure during flight is determined; determining a current flight state based on bus acceleration data of the aircraft; lithium battery monomer expansion prediction is carried out based on the airborne monomer equivalent film pressure during flight and the current flight state; and when the lithium battery monomer expansion prediction result indicates that the lithium battery monomer expands, determining a health state detection result based on the airborne monomer equivalent film pressure during flight. According to the invention, real-time effective detection of the health state of the lithium battery pack is realized, the detection efficiency and the safety of the lithium battery of the aircraft are improved, and the maintenance cost of the lithium battery is reduced.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of aircraft, in particular to an aircraft lithium battery pack health state detection method, related equipment and storage medium. BACKGROUND

[0002] Lithium batteries are widely used for their high output voltage, high energy density, long cycle life, low self-discharge rate, wide working temperature range and other advantages, and have become the preferred storage battery for aircraft.

[0003] During the charging and discharging process of the lithium battery, a series of complex chemical reactions and physical changes occur inside, thereby generating swelling force. After long-term use of the lithium battery, the swelling force inside the battery monomer gradually increases. When the battery reaches the end of life, the swelling force reaches a certain degree, which not only reduces the charging and discharging efficiency of the lithium battery, but also is likely to cause local short circuit and thermal runaway of the battery, thereby threatening the safety of the battery.

[0004] In related technologies, the lithium battery pack is designed with an end plate with reinforcing ribs to improve the strength and rigidity of the end plate, so that it can better withstand the swelling force. The maintenance of the aircraft lithium battery pack mainly relies on regular maintenance, resulting in high maintenance cost of the aircraft lithium battery pack, low efficiency of lithium battery pack health state detection, and reduced safety of the aircraft lithium battery. SUMMARY

[0005] To solve the problems of the prior art, the embodiments of the present application provide an aircraft lithium battery pack health state detection method, related equipment and storage medium. The technical solution is as follows:

[0006] On the one hand, an aircraft lithium battery pack health state detection method is provided, which comprises:

[0007] During the execution of the flight task of the aircraft, first pressure data and second pressure data collected based on a pressure film sensor arranged in the lithium battery pack are acquired; the first pressure data includes the film pressure of the first side of each lithium battery monomer in the lithium battery pack, and the second pressure data includes the film pressure of the second side of each lithium battery monomer in the lithium battery pack, the first side being larger than the second side;

[0008] Based on the first pressure data and the second pressure data, the flight airborne monomer equivalent film pressure is determined;

[0009] Based on the bus acceleration data of the aircraft, the current flight state of the aircraft is determined;

[0010] Based on the flight airborne monomer equivalent film pressure and the current flight state, lithium battery monomer swelling prediction is performed to obtain a lithium battery monomer swelling prediction result.

[0011] In a case where the lithium battery cell swelling prediction result indicates that lithium battery cell swelling occurs, a health state detection result of the lithium battery pack is determined based on the flight time load cell equivalent film pressure.

[0012] In some example embodiments, the lithium battery cell swelling prediction based on the flight time load cell equivalent film pressure and the current flight state obtains a lithium battery cell swelling prediction result, including:

[0013] A change rate of the flight time load cell equivalent film pressure relative to a flight time load cell historical equivalent film pressure is determined to obtain a flight time load cell equivalent film pressure change rate.

[0014] In a case where the flight time load cell equivalent film pressure change rate exceeds a flight time load cell equivalent film pressure change rate threshold and the current flight state is a preset effective state, the lithium battery cell swelling prediction result is determined to be that lithium battery cell swelling exists.

[0015] The preset effective state includes that the aircraft is not in any one of a take-off and landing state, an acceleration and deceleration state, and a jolt and vibration state, and a duration of the aircraft not being in any one of the flight states exceeds a preset duration threshold.

[0016] In some example embodiments, the determination of the current flight state of the aircraft based on the bus acceleration data of the aircraft includes:

[0017] The aircraft axial acceleration, the aircraft horizontal acceleration, and the aircraft normal acceleration are determined based on the bus acceleration data of the aircraft.

[0018] The aircraft axial acceleration, the aircraft horizontal acceleration, and the aircraft normal acceleration are compared with acceleration noise threshold values of corresponding directions respectively to obtain acceleration comparison results corresponding to the directions.

[0019] If the acceleration comparison results of the directions all indicate that the accelerations of the directions do not exceed the acceleration noise threshold values, it is determined that the aircraft is not in any one of a take-off and landing state, an acceleration and deceleration state, and a jolt and vibration state.

[0020] A duration of the aircraft not being in any one of the flight states is obtained, and in a case where the duration exceeds the preset duration threshold, the current flight state is determined to be a preset effective state.

[0021] In some example embodiments, the determination of the health state detection result of the lithium battery pack based on the flight time load cell equivalent film pressure includes:

[0022] obtaining a current state of charge of the lithium battery pack and a current temperature of the lithium battery pack;

[0023] obtaining a battery life characteristic curve representing a mapping relationship between a battery remaining life and preset influence factors, the preset influence factors including a lithium battery cell equivalent membrane pressure, a lithium battery pack state of charge, and a lithium battery pack temperature; the battery life characteristic curve being obtained based on a test on a calibration lithium battery pack;

[0024] determining a current battery remaining life from the battery life characteristic curve based on the flight time lithium battery cell equivalent membrane pressure, the current state of charge, and the current temperature;

[0025] in a case where the current battery remaining life exceeds a battery remaining life threshold, determining that a health state detection result of the lithium battery pack is an unhealthy state.

[0026] In some example embodiments, the method further comprises:

[0027] determining a maximum battery remaining life based on the battery life characteristic curve;

[0028] obtaining the battery remaining life threshold based on a product between a battery remaining life conversion coefficient and the maximum battery remaining life.

[0029] In some example embodiments, after determining that the health state detection result of the lithium battery pack is the unhealthy state, the method further comprises:

[0030] performing battery maintenance warning on the lithium battery pack.

[0031] In some example embodiments, the pressure membrane sensor includes a first pressure membrane sensor arranged between adjacent lithium battery cells, and a second pressure membrane sensor and a third pressure membrane sensor arranged between the lithium battery pack and a shell for accommodating the lithium battery pack, the first pressure membrane sensor being configured to collect a first side membrane pressure between adjacent lithium battery cells, the second pressure membrane sensor being configured to collect a second side membrane pressure between the lithium battery pack and the shell, and the third pressure membrane sensor being configured to collect a third side membrane pressure; and determining the flight time lithium battery cell equivalent membrane pressure based on the first pressure data and the second pressure data includes:

[0032] averaging the first pressure data and the second pressure data respectively to obtain a first average membrane pressure and a second average membrane pressure;

[0033] The first average film pressure and the second average film pressure are linearly fused based on a film pressure proportionality coefficient to obtain the flying time on-board cell equivalent film pressure.

[0034] In another aspect, a device for detecting a health state of a lithium battery pack of an aircraft is provided, and the device comprises:

[0035] A pressure data acquisition module is configured to acquire first pressure data and second pressure data collected by pressure film sensors arranged in the lithium battery pack during execution of a flight task by the aircraft, wherein the first pressure data comprises film pressure on a first side of each lithium battery cell in the lithium battery pack, and the second pressure data comprises film pressure on a second side of each lithium battery cell in the lithium battery pack, the first side being larger than the second side.

[0036] A cell equivalent film pressure determination module is configured to determine a flying time on-board cell equivalent film pressure based on the first pressure data and the second pressure data.

[0037] A flight state determination module is configured to determine a current flight state of the aircraft based on bus acceleration data of the aircraft.

[0038] A lithium battery cell swelling prediction module is configured to perform lithium battery cell swelling prediction based on the flying time on-board cell equivalent film pressure and the current flight state to obtain a lithium battery cell swelling prediction result.

[0039] A health state detection result determination module is configured to determine a health state detection result of the lithium battery pack based on the flying time on-board cell equivalent film pressure in a case where the lithium battery cell swelling prediction result indicates that lithium battery cell swelling occurs.

[0040] In some exemplary embodiments, the lithium battery cell swelling prediction module comprises:

[0041] A film pressure change rate determination module is configured to determine a change rate of the flying time on-board cell equivalent film pressure relative to a flying time on-board cell historical equivalent film pressure to obtain a flying time on-board cell equivalent film pressure change rate.

[0042] A prediction sub-module is configured to determine that the lithium battery cell swelling prediction result is that lithium battery cell swelling exists in a case where the flying time on-board cell equivalent film pressure change rate exceeds a flying time on-board cell equivalent film pressure change rate threshold, and the current flight state is a preset valid state.

[0043] The preset valid state comprises that the aircraft is not in any one of a take-off and landing state, an acceleration and deceleration state, and a jolt and vibration state, and a duration of the aircraft not being in the any one of the flight states exceeds a preset duration threshold.

[0044] In some example embodiments, the flight state determination module comprises:

[0045] an acceleration determination module configured to determine an aircraft axial acceleration, an aircraft horizontal acceleration and an aircraft normal acceleration based on bus acceleration data of the aircraft;

[0046] an acceleration comparison module configured to compare the aircraft axial acceleration, the aircraft horizontal acceleration and the aircraft normal acceleration with acceleration noise thresholds of corresponding directions respectively to obtain acceleration comparison results corresponding to the directions respectively;

[0047] a flight state determination module configured to determine that the aircraft is not in any of a take-off and landing state, an acceleration and deceleration state, and a bumping and vibrating state when the acceleration comparison results of the directions all indicate that the accelerations of the directions do not exceed the acceleration noise thresholds;

[0048] an effective state determination module configured to obtain a duration that the aircraft is not in any of the take-off and landing state, the acceleration and deceleration state, and the bumping and vibrating state, and determine that a current flight state is a preset effective state when the duration exceeds a preset duration threshold.

[0049] In some example embodiments, the health state detection result determination module comprises:

[0050] a first obtaining module configured to obtain a current state of charge of the lithium battery pack and a current temperature of the lithium battery pack;

[0051] a second obtaining module configured to obtain a battery life characteristic curve, the battery life characteristic curve representing a mapping relationship between a battery remaining life and preset influence factors, the preset influence factors including a lithium battery cell equivalent membrane pressure, a lithium battery pack state of charge, and a lithium battery pack temperature, the battery life characteristic curve being obtained based on a test on a calibration lithium battery pack;

[0052] a current battery remaining life determination module configured to determine a current battery remaining life from the battery life characteristic curve based on the flight time lithium battery cell equivalent membrane pressure, the current state of charge, and the current temperature;

[0053] a determination sub-module configured to determine that a health state detection result of the lithium battery pack is an unhealthy state when the current battery remaining life exceeds a battery remaining life threshold.

[0054] In some example embodiments, the health state detection result determination module further comprises:

[0055] a battery residual life maximum value determination module configured to determine a battery residual life maximum value based on the battery life characteristic curve;

[0056] a battery residual life threshold value determination module configured to determine the battery residual life threshold value based on a product of a battery residual life conversion coefficient and the battery residual life maximum value.

[0057] In some example embodiments, the apparatus further comprises:

[0058] a battery maintenance warning module configured to perform battery maintenance warning for the lithium battery pack.

[0059] In some example embodiments, the pressure film sensor comprises a first pressure film sensor disposed between adjacent lithium battery cells, and a second pressure film sensor and a third pressure film sensor disposed between the lithium battery pack and a housing for accommodating the lithium battery pack, the first pressure film sensor configured to collect a first side film pressure between adjacent lithium battery cells, the second pressure film sensor configured to collect a first side film pressure between the lithium battery pack and the housing, and the third pressure film sensor configured to collect a second side film pressure.

[0060] an average film pressure calculation module configured to average the first pressure data and the second pressure data to obtain a first average film pressure and a second average film pressure, respectively;

[0061] a film pressure fusion module configured to linearly fuse the first average film pressure and the second average film pressure based on a film pressure proportionality coefficient to obtain the flight occasion carrier cell equivalent film pressure.

[0062] In another aspect, an aircraft is provided, comprising a lithium battery pack and the aforementioned aircraft lithium battery pack health status detection apparatus, the lithium battery pack comprising a plurality of lithium battery cells arranged side by side and a pressure film sensor disposed in the lithium battery pack.

[0063] In some example embodiments, the pressure film sensor comprises a first pressure film sensor disposed between adjacent lithium battery cells, and a second pressure film sensor and a third pressure film sensor disposed between the lithium battery pack and a housing for accommodating the lithium battery pack, the first pressure film sensor configured to collect a first side film pressure between adjacent lithium battery cells, the second pressure film sensor configured to collect a first side film pressure between the lithium battery pack and the housing, and the third pressure film sensor configured to collect a second side film pressure.

[0064] In another aspect, a computer-readable storage medium is provided, and the computer-readable storage medium stores at least one instruction or at least one program, which is loaded and executed by a processor to implement the aircraft lithium battery pack health state detection method in any of the above aspects.

[0065] In another aspect, a computer program product is provided, and the computer program product comprises a computer program, which is executed by a processor to implement the aircraft lithium battery pack health state detection method in any of the above aspects.

[0066] The present application obtains first pressure data and second pressure data collected based on pressure film sensors arranged in the lithium battery pack during the flight of the aircraft performing a flight task, the first pressure data comprising the film pressure of the first side of each lithium battery cell in the lithium battery pack, the second pressure data comprising the film pressure of the second side of each lithium battery cell in the lithium battery pack, and the first side is greater than the second side, determines the flight airborne cell equivalent film pressure based on the first pressure data and the second pressure data, determines the current flight state of the aircraft based on the bus acceleration data of the aircraft, then performs lithium battery cell swelling prediction based on the flight airborne cell equivalent film pressure and the current flight state, obtains the lithium battery cell swelling prediction result, and in the case that the lithium battery cell swelling prediction result indicates that lithium battery cell swelling occurs, determines the health state detection result of the lithium battery pack based on the flight airborne cell equivalent film pressure, thereby realizing real-time and effective detection of the health state of the aircraft lithium battery pack, improving the detection efficiency, facilitating maintenance of the lithium battery pack as appropriate before the end of the battery life, improving the safety of the aircraft lithium battery, and reducing the maintenance cost of the lithium battery. BRIEF DESCRIPTION OF DRAWINGS

[0067] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only some embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0068] Figure 1 is a flowchart of an aircraft lithium battery pack health state detection method provided by some embodiments of the present application;

[0069] Figure 2 is a structural schematic diagram of an aircraft lithium battery pack provided by some embodiments of the present application;

[0070] Figure 3 is a schematic diagram of pressure film sensors arranged between lithium battery cells provided by some embodiments of the present application;

[0071] Figure 4 is a flowchart of another method for detecting the health status of a lithium battery pack of an aircraft provided by some embodiments of the present application;

[0072] Figure 5 is a flowchart of another method for detecting the health status of a lithium battery pack of an aircraft provided by some embodiments of the present application;

[0073] Figure 6 is a structural diagram of a device for detecting the health status of a lithium battery pack of an aircraft provided by some embodiments of the present application. DETAILED DESCRIPTION

[0074] The technical solutions in the embodiments of the present application will be clearly and completely described in connection with the drawings in the embodiments of the present application. Obviously, the described embodiments are only a part of the embodiments of the present application, rather than all the embodiments of the present application. Based on the embodiments in the present application, all other embodiments obtained by a person skilled in the art without creative work fall within the scope of protection of the present application.

[0075] In the description of the present application, it should be understood that the orientations or positional relationships indicated by the terms "center", "longitudinal", "lateral", "length", "width", "thickness", "upper", "lower", "front", "rear", "left", "right", "vertical", "horizontal", "top", "bottom", "inner", "outer" and the like are based on the orientations or positional relationships shown in the drawings, and are only for the convenience of describing the present application and simplifying the description, and therefore cannot be understood as indicating or implying that the devices or elements indicated must have a particular orientation, be constructed and operated in a particular orientation, and therefore cannot be understood as limiting the present application. In addition, the terms "first" and "second" are only for the purpose of description, and cannot be understood as indicating or implying relative importance or implicitly indicating the number of the indicated technical features. Therefore, the features limited by "first" and "second" can explicitly or implicitly include one or more of the features. In the description of the present application, the meaning of "multiple" is two or more, unless otherwise specifically limited.

[0076] "A and / or B" includes the following three combinations: only A, only B, and a combination of A and B.

[0077] The use of "adapted for" or "configured for" in the present application means open and inclusive language that does not exclude devices adapted for or configured for performing additional tasks or steps. In addition, the use of "based on" means open and inclusive, because the process, step, calculation or other action "based on" one or more stated conditions or values can be based on additional conditions or values beyond those stated in practice.

[0078] In this application, the word "exemplary" is used to mean "serving as an example, instance, or illustration." Any implementation described as "exemplary" in this application is not necessarily to be construed as preferred or advantageous over other implementations. The following description is presented to enable any person skilled in the art to make and use the application. In the following description, for purposes of explanation, numerous details are set forth. It is apparent, however, to one skilled in the art that the present application can be practiced without the use of these specific details. In other instances, well-known structures and processes are not elaborated upon in order not to obscure the description of the present application with unnecessary detail. Thus, the present application is not intended to be limited by the embodiments shown, but is to be accorded the widest scope consistent with the principles and features disclosed herein.

[0079] During the charging and discharging process of the lithium battery of the aircraft lithium battery pack, a series of complex chemical reactions and physical changes occur inside the lithium battery, thereby generating an expansion force. After long-term use of the lithium battery, the expansion force inside the battery cell gradually increases. When the battery reaches the end of life, the expansion force reaches a certain degree, which weakens the binding force between the particles in the electrode material, thereby causing the electrode particles to fall off. These falling particles are free in the battery, which hinders the normal transmission of lithium ions, reduces the charging and discharging efficiency of the battery, and may also cause a local short circuit phenomenon, threatening the safety of the battery. At the same time, the expansion force also damages the separator. As the key isolation layer between the positive and negative electrodes of the battery, the integrity of the separator is crucial to preventing battery short circuits. Excessive expansion force can cause the separator to crack, perforate, and the like. Once the separator is damaged, the risk of direct contact between the positive and negative electrodes will greatly increase, and the possibility of internal short circuit will also increase, which is likely to cause thermal runaway of the battery, threatening the safety of the battery. In the related art, the lithium battery pack is mainly designed by reinforcing the end plate to improve the strength and rigidity of the end plate, so that it can better withstand the expansion force. The maintenance of the aircraft lithium battery pack mainly relies on regular maintenance, which leads to high maintenance cost of the aircraft lithium battery pack, low efficiency of the health state detection of the lithium battery pack, and reduced safety of the aircraft lithium battery.

[0080] In view of this, the embodiment of the present application provides a method for detecting the health state of a lithium battery pack of an aircraft. In the method, first pressure data and second pressure data collected by a pressure film sensor arranged in the lithium battery pack are acquired during the execution of a flight task by the aircraft. The first pressure data includes the film pressure of the first side of each lithium battery cell in the lithium battery pack, and the second pressure data includes the film pressure of the second side of each lithium battery cell in the lithium battery pack. The first side is larger than the second side, and the equivalent film pressure of the airborne cell at the flight time is determined based on the first pressure data and the second pressure data. The current flight state of the aircraft is determined based on the bus acceleration data of the aircraft. Then, the lithium battery cell swelling prediction is performed based on the equivalent film pressure of the airborne cell at the flight time and the current flight state, to obtain a lithium battery cell swelling prediction result. When the lithium battery cell swelling prediction result indicates that the lithium battery cell swelling occurs, the health state detection result of the lithium battery pack is determined based on the equivalent film pressure of the airborne cell at the flight time. Thus, the real-time and effective detection of the health state of the lithium battery pack of the aircraft is realized, the detection efficiency is improved, the lithium battery pack can be maintained as appropriate before the end of the battery life, the safety of the lithium battery of the aircraft is improved, and the maintenance cost of the lithium battery is reduced.

[0081] Referring to Figure 1 , which is a flowchart of a method for detecting the health state of a lithium battery pack of an aircraft according to an embodiment of the present application. It should be noted that the method described in the embodiments or flowcharts can include more or fewer operation steps based on conventional or non-creative labor. The order of the steps listed in the embodiments is only one of the many execution orders, and does not represent the only execution order. In actual system or product execution, the method can be executed in sequence or in parallel (for example, in a parallel processor or multi-threaded processing environment). Specifically, as shown in Figure 1 , the method can include the following steps.

[0082] S101, during the execution of a flight task by an aircraft, first pressure data and second pressure data collected by a pressure film sensor arranged in a lithium battery pack are acquired.

[0083] The first pressure data includes the film pressure of the first side of each lithium battery cell in the lithium battery pack, and the second pressure data includes the film pressure of the second side of each lithium battery cell in the lithium battery pack. The first side is larger than the second side, and the second side is the side of the lithium battery cell close to the shell for accommodating the lithium battery pack. Usually, the second side includes two opposite sides, and the first side of the lithium battery cell is the plane most prone to swelling.

[0084] It should be noted that the terms "lithium battery cell", "cell", and "airborne cell" mentioned in the embodiments of this application all have the same meaning, referring to a single lithium battery in a lithium battery pack.

[0085] like Figure 2 The diagram shown is a structural schematic of an aircraft lithium battery pack according to an embodiment of this application. Figure 3 The diagram illustrates a pressure film sensor disposed between lithium battery cells according to an embodiment of this application. The lithium battery pack includes multiple lithium battery cells, such as lithium battery cells 201 to 204, and subsequently expandable lithium battery cells 205, etc. The pressure film sensor includes a first pressure film sensor 302 disposed between adjacent lithium battery cells, and a second pressure film sensor 301 and a third pressure film sensor 303 disposed between the lithium battery pack and a housing (not shown) for accommodating the lithium battery pack. The first pressure film sensor 302 is used to collect the film pressure on a first side located between adjacent lithium battery cells. The second pressure film sensor 301 is used to collect the film pressure on a first side located between the lithium battery pack and the housing. The third pressure film sensor 303 is used to collect the film pressure on a second side of each lithium battery cell. The third pressure film sensor 303 may include two opposing pressure film sensors, such as... Figure 2 As shown, a pressure film sensor is respectively installed on the left and right sides of the lithium battery pack, and the pressure film sensor can cover the second side of each lithium battery cell on the corresponding side. Therefore, the acquired first pressure data can include the film pressure F on the first side located between the lithium battery pack and the casing, collected by the second pressure film sensor 301. 01 The first pressure film sensor 302 collects the film pressure F on the first side located between adjacent lithium battery cells. 02 The third pressure film sensor 303 on the left side collects the film pressure F on the second side of each lithium battery cell. 03 The third pressure film sensor 303 on the right side collects the film pressure F on the second side of each lithium battery cell. 04 .

[0086] S103, based on the first pressure data and the second pressure data, determine the equivalent membrane pressure of the onboard unit during flight.

[0087] Specifically, the first pressure data and the second pressure data can be averaged to obtain the first average membrane pressure and the second average membrane pressure; based on the membrane pressure ratio coefficient, the first average membrane pressure and the second average membrane pressure are linearly fused to obtain the equivalent membrane pressure of the onboard unit during flight.

[0088] The linear fusion can calculate the product of the film pressure proportionality coefficient and the second average film pressure, and then add the result of the product to the first average film pressure to obtain the flight on-board cell equivalent film pressure. Since the area of the first side is larger than the area of the second side, the film pressure proportionality coefficient is less than 1. In actual application, the film pressure proportionality coefficient can be set based on actual experience. The above-mentioned linear fusion using the film pressure proportionality coefficient can increase the influence degree of the first pressure data in the detection process, and is beneficial to improve the accuracy of the detection result.

[0089] The above-mentioned Figure 2 and Figure 3 For example, the flight on-board cell equivalent film pressure F can be calculated by the following formula:

[0090] F = AVE (F 01 ,F 02 ) + M * AVE (F 03 ,F 04 ) (1)

[0091] Wherein, F represents the flight on-board cell equivalent film pressure; AVE() represents the data average operation; M represents the film pressure proportionality coefficient.

[0092] S105, based on the bus acceleration data of the aircraft, determine the current flight state of the aircraft.

[0093] S107, based on the flight on-board cell equivalent film pressure and the current flight state, lithium battery cell swelling prediction is carried out to obtain the lithium battery cell swelling prediction result.

[0094] Wherein, the lithium battery cell swelling prediction result indicates whether the lithium battery pack has lithium battery cell swelling.

[0095] In some exemplary embodiments, as Figure 4 shown, the step S107 can include, when implemented:

[0096] S401, determine the change rate of the flight on-board cell equivalent film pressure relative to the flight on-board cell historical equivalent film pressure, to obtain the flight on-board cell equivalent film pressure change rate.

[0097] Wherein, the flight on-board cell historical equivalent film pressure is the flight on-board cell equivalent film pressure obtained in the historical health detection process of the lithium battery pack. Specifically, it can be the flight on-board cell equivalent film pressure obtained in the nearest historical health detection process, or the average value of the flight on-board cell equivalent film pressure obtained in each historical health detection process in a preset historical time period. The preset historical time period can be set based on actual needs.

[0098] For example, the flight-time equivalent thin-film pressure rate of change of the on-board battery monomer can be calculated by using the following formula:

[0099] F' = (F - F t ) / F t (2)

[0100] Wherein, F' represents the flight-time equivalent thin-film pressure rate of change of the on-board battery monomer; F t represents the flight-time historical equivalent thin-film pressure of the on-board battery monomer; F represents the flight-time equivalent thin-film pressure of the on-board battery monomer.

[0101] S403, in the case that the flight-time equivalent thin-film pressure rate of change of the on-board battery monomer exceeds the flight-time equivalent thin-film pressure rate of change threshold of the on-board battery monomer, and the current flight state is a preset effective state, determining that the lithium battery monomer swelling prediction result is that there is lithium battery monomer swelling.

[0102] Wherein, the preset effective state includes that the aircraft is not in any one of the take-off and landing, acceleration and deceleration, jolt and vibration flight states, and the duration of not being in any one of the flight states exceeds a preset duration threshold.

[0103] Specifically, considering that when the aircraft is in the state of take-off and landing, acceleration and deceleration, or jolt and vibration, the pressure thin-film sensor in the lithium electronic group will also produce a response to generate pressure data, but the pressure thin-film response data in the above flight state is the normal response information of the pressure thin-film sensor, that is, the pressure data of the pressure thin-film sensor in the lithium battery group obtained when the aircraft is in any one of the take-off and landing, acceleration and deceleration, jolt and vibration flight states is invalid data information and should be ignored, thereby ensuring the accuracy of the flight-time lithium battery group health detection. By further combining whether the current flight state meets the preset effective state when the flight-time equivalent thin-film pressure rate of change of the on-board battery monomer exceeds the flight-time equivalent thin-film pressure rate of change threshold of the on-board battery monomer to predict whether the lithium battery group has lithium battery monomer swelling, the accuracy of the lithium battery monomer swelling prediction result is ensured, thereby facilitating to improve the accuracy of the health detection. The preset duration threshold can be set based on actual experience.

[0104] Continuing to refer to Figure 4 , in order to accurately determine whether the current flight state of the aircraft is the above-mentioned preset effective state, the foregoing step S105 can include, when implemented:

[0105] S405, determining the aircraft axial acceleration, the aircraft horizontal acceleration and the aircraft normal acceleration based on the bus acceleration data of the aircraft.

[0106] S407, compare the aircraft axial acceleration, aircraft horizontal acceleration and aircraft normal acceleration with the acceleration noise threshold of the corresponding direction respectively to obtain the acceleration comparison result of each direction.

[0107] S409, if the acceleration comparison result of each direction indicates that the acceleration of the direction does not exceed the acceleration noise threshold, it is determined that the aircraft is currently not in any one of the flight states of taking off and landing, accelerating and decelerating, and jolt vibration.

[0108] S411, obtain the duration that the aircraft is currently not in any one of the flight states of taking off and landing, accelerating and decelerating, and jolt vibration, and in the case that the duration exceeds the preset duration threshold, determine that the current flight state is the preset valid state.

[0109] Specifically, taking Accel_A as the aircraft axial acceleration, Accel_H as the aircraft horizontal acceleration, Accel_V as the aircraft normal acceleration, Accel_NoiseA as the aircraft axial acceleration noise threshold, Accel_NoiseH as the aircraft horizontal acceleration noise threshold, and Accel_TurbV as the aircraft normal acceleration noise threshold as examples, if any one of the following conditions is met: |Accel_A|≥Accel_NoiseA, |Accel_H|≥Accel_NoiseH, and |Accel_V|≥Accel_TurbV, it can be determined that the aircraft is currently in a certain flight state of taking off and landing, accelerating and decelerating, and jolt vibration, so the current flight state of the aircraft is not the aforementioned preset valid state. If none of the following conditions is met: |Accel_A|≥Accel_NoiseA, |Accel_H|≥Accel_NoiseH, and |Accel_V|≥Accel_TurbV, it can be determined that the aircraft is currently not in any one of the flight states of taking off and landing, accelerating and decelerating, and jolt vibration, and then the duration that the aircraft is currently not in any one of the flight states of taking off and landing, accelerating and decelerating, and jolt vibration can be obtained, and in the case that the duration exceeds the preset duration threshold, it is determined that the current flight state of the aircraft is the aforementioned preset valid state. The preset duration threshold can be set based on actual experience.

[0110] S109, in the case that the lithium battery cell swelling prediction result indicates that lithium battery cell swelling occurs, determine the health state detection result of the lithium battery pack based on the flight on-board cell equivalent membrane pressure.

[0111] The health state detection result of the lithium battery pack indicates whether the lithium battery pack is in a healthy state. Specifically, the current battery life can be calculated based on the flight-time on-board cell equivalent film pressure, and in a case where the current battery life exceeds a battery life threshold, the health state detection result of the lithium battery pack is determined to be an unhealthy state.

[0112] In some exemplary embodiments, as shown in FIG. 11, Figure 5 The step S109 can include the following steps when determining the health state detection result of the lithium battery pack based on the flight-time on-board cell equivalent film pressure.

[0113] S501, obtaining the current state of charge of the lithium battery pack, the current temperature of the lithium battery pack, and a battery life characteristic curve.

[0114] Specifically, for the current state of charge of the lithium battery pack, the current state of charge of each lithium battery cell in the lithium battery pack can be determined, and the current state of charge of the lithium battery pack is determined based on the current state of charge of each lithium battery cell, for example, the average value of the current state of charge of all lithium battery cells in the lithium battery pack is calculated, and the average value is taken as the current state of charge of the lithium battery pack. For example, the current state of charge of the lithium battery cell can be calculated by the following formula:

[0115] SOC act = (S - S min ) / (S max - S min ) (3)

[0116] Wherein, S represents the current capacity of the lithium battery cell; S min represents the minimum capacity of the lithium battery cell; S max represents the maximum capacity of the lithium battery cell; SOC act represents the current state of charge of the lithium battery cell.

[0117] For the current temperature of the lithium battery pack, the current temperature of each lithium battery cell in the lithium battery pack can be determined, and the current temperature of the lithium battery pack is determined based on the current temperature of each lithium battery cell, for example, the average value of the current temperature of all lithium battery cells in the lithium battery pack is calculated, and the average temperature value is taken as the current temperature of the lithium battery pack.

[0118] The battery life characteristic curve represents a mapping relationship between the remaining life of the battery and preset influencing factors, the preset influencing factors include the equivalent thin film pressure of the lithium battery cell, the state of charge of the lithium battery pack, and the temperature of the lithium battery pack. The battery life characteristic curve is obtained based on testing the calibration lithium battery pack. For example, the battery life characteristic curve can be expressed as RUL = f(F, SOC, Tb), where RUL represents the remaining life of the battery, f represents the mapping relationship, F, SOC, and T represent the aforementioned preset influencing factors, i.e., the equivalent thin film pressure of the lithium battery cell, the state of charge of the lithium battery pack, and the temperature of the lithium battery pack.

[0119] Specifically, the calibration lithium battery pack includes a plurality of calibration lithium battery cells, wherein the calibration lithium battery cells are of the same model as the aircraft on-board lithium battery cells, and the calibration lithium battery pack is arranged in the same manner as the aircraft on-board lithium battery pack, for example, the structure of the calibration lithium battery pack is consistent with the structure shown in the foregoing Figure 2 and Figure 3 .

[0120] Based on this, in some exemplary embodiments, the method of the present application can further include the step of testing the calibration lithium battery pack to obtain the battery life characteristic curve. For example, the structure of the calibration lithium battery pack is shown in the foregoing Figure 2 and Figure 3 , which is taken as an example to specifically describe the determination step of the battery life characteristic curve.

[0121] Each of the plurality of calibration lithium battery packs is tested to obtain corresponding test sample data for each calibration lithium battery pack, each test sample data including the calibration cell equivalent thin film pressure F test , the state of charge of the calibration lithium battery pack SOC test , and the temperature of the calibration lithium battery pack Tb test , wherein the calibration cell equivalent thin film pressure F test is calculated using the foregoing formula (1) based on the first pressure test data F 01test and F 02test , and the second pressure test data F 03test and F 04test , which are collected by the pressure film sensor in the corresponding calibration lithium battery pack during testing; the state of charge of the calibration lithium battery pack SOC test is obtained by calculating the state of charge of each calibration lithium battery cell in the calibration lithium battery pack using the foregoing formula (3), and then calculating the state of charge of the calibration lithium battery pack, for example, by averaging; and the temperature of the calibration lithium battery pack Tb testis calculated based on the temperature of each calibration lithium battery cell in the calibration lithium battery pack.

[0122] The test sample data corresponding to each calibration lithium battery pack is taken as an observation vector respectively to form an observation matrix, and a polynomial fitting of least squares is used to analyze the observation matrix to obtain a target function relationship, i.e. the battery life characteristic curve RUL = f(F, SOC, Tb). For example, the target function relationship can be expressed as:

[0123] y = β0+ β1*F + β2*SOC + β3*Tb + β4*F 2 + β5*SOC 2 + β6*Tb 2 + …

[0124] Wherein, β0, β1, β2, β3, β4, β5, β6… are parameters obtained by analyzing the observation matrix; y represents the battery remaining life RUL, F, SOC and Tb are the aforementioned preset influencing factors.

[0125] For example, the battery remaining life threshold can be obtained by the following method: based on the battery life characteristic curve, the maximum value of the battery remaining life is determined; based on the product between the battery remaining life conversion coefficient and the maximum value of the battery remaining life, the battery remaining life threshold is obtained. Wherein, the maximum value of the battery remaining life is the maximum value in the battery life characteristic curve, and the battery remaining life conversion coefficient can be set based on actual experience, so as to improve the accuracy of the determination of the battery remaining life threshold, and improve the accuracy of the health detection.

[0126] S503, based on the flight time battery cell equivalent film pressure, the current state of charge and the current temperature, the current battery remaining life is determined from the battery life characteristic curve.

[0127] Specifically, the flight time battery cell equivalent film pressure, the current state of charge and the current temperature are taken as input data of the mapping relationship represented by the battery life characteristic curve, and the output data corresponding to the input data through the mapping relationship is the current battery remaining life.

[0128] S505, in the case that the current battery remaining life exceeds the battery remaining life threshold, the health state detection result of the lithium battery pack is determined as the non-healthy state.

[0129] Specifically, the current battery remaining life is compared with the battery remaining life threshold, and if the current battery remaining life exceeds the battery remaining life threshold, it indicates that the lithium battery pack has appeared lithium battery cell expansion phenomenon before the end of the battery life, and then the lithium battery pack is currently in an unhealthy state.

[0130] In some exemplary embodiments, after determining that the health state detection result of the lithium battery pack is an unhealthy state, the method can further include: performing battery maintenance warning for the lithium battery pack. Specifically, maintenance warning information for the lithium battery pack can be generated and sent to the corresponding battery maintenance node, so that an online maintenance battery indication can be given before the end of the battery life, so as to realize timely maintenance of the lithium battery pack and improve the safety of the aircraft lithium battery pack.

[0131] Corresponding to the aircraft lithium battery pack health state detection method provided by the above several embodiments, the embodiments of the present application also provide an aircraft lithium battery pack health state detection device. Since the aircraft lithium battery pack health state detection device provided by the embodiments of the present application corresponds to the aircraft lithium battery pack health state detection method provided by the above several embodiments, the embodiments of the aforementioned aircraft lithium battery pack health state detection method are also applicable to the aircraft lithium battery pack health state detection device provided by the present embodiment, which will not be described in detail in the present embodiment.

[0132] Please refer to Figure 6 , which is a structural schematic diagram of an aircraft lithium battery pack health state detection device provided by an embodiment of the present application. The device has the function of realizing the aircraft lithium battery pack health state detection method in the above method embodiments, which can be realized by hardware or executed by corresponding software by hardware. As Figure 6 shown, the aircraft lithium battery pack health state detection device 600 can include:

[0133] The pressure data acquisition module 610 is configured to acquire first pressure data and second pressure data collected based on the pressure film sensors arranged in the lithium battery pack during the execution of the flight task by the aircraft; the first pressure data includes the film pressure of the first side of each lithium battery cell in the lithium battery pack, and the second pressure data includes the film pressure of the second side of each lithium battery cell in the lithium battery pack, the first side being larger than the second side;

[0134] The cell equivalent film pressure determination module 620 is configured to determine the flight on-board cell equivalent film pressure based on the first pressure data and the second pressure data;

[0135] The flight state determination module 630 is configured to determine the current flight state of the aircraft based on the bus acceleration data of the aircraft;

[0136] a lithium battery cell swelling prediction module 640, configured to perform lithium battery cell swelling prediction based on the flight time airborne cell equivalent film pressure and the current flight state, to obtain a lithium battery cell swelling prediction result;

[0137] a health state detection result determination module 650, configured to, in a case where the lithium battery cell swelling prediction result indicates that lithium battery cell swelling occurs, determine a health state detection result of the lithium battery pack based on the flight time airborne cell equivalent film pressure.

[0138] In some example embodiments, the lithium battery cell swelling prediction module 640 comprises:

[0139] a film pressure change rate determination module, configured to determine a change rate of the flight time airborne cell equivalent film pressure relative to a flight time airborne cell historical equivalent film pressure, to obtain a flight time airborne cell equivalent film pressure change rate;

[0140] a prediction sub-module, configured to, in a case where the flight time airborne cell equivalent film pressure change rate exceeds a flight time airborne cell equivalent film pressure change rate threshold and the current flight state is a preset effective state, determine that the lithium battery cell swelling prediction result is that lithium battery cell swelling exists;

[0141] wherein the preset effective state comprises that the aircraft is not in any one of a take-off and landing state, an acceleration and deceleration state, a jolt and vibration state, and a duration of the aircraft not being in the any one of the flight states exceeds a preset duration threshold.

[0142] In some example embodiments, the flight state determination module 630 comprises:

[0143] an acceleration determination module, configured to determine an aircraft axial acceleration, an aircraft horizontal acceleration and an aircraft normal acceleration based on bus acceleration data of the aircraft;

[0144] an acceleration comparison module, configured to compare the aircraft axial acceleration, the aircraft horizontal acceleration and the aircraft normal acceleration with acceleration noise thresholds of corresponding directions respectively, to obtain acceleration comparison results corresponding to the directions;

[0145] a flight state determination module, configured to, in a case where the acceleration comparison results of the directions all indicate that accelerations of the directions do not exceed the acceleration noise thresholds, determine that the aircraft is not in any one of a take-off and landing state, an acceleration and deceleration state, a jolt and vibration state;

[0146] An effective state determination module is configured to acquire a duration that the aircraft is not in any of the flight states of taking off and landing, accelerating and decelerating, and bumping and vibration, and determine that the current flight state is a preset effective state when the duration exceeds the preset duration threshold.

[0147] In some example embodiments, the health state detection result determination module 650 comprises:

[0148] A first acquisition module is configured to acquire a current state of charge of the lithium battery pack and a current temperature of the lithium battery pack.

[0149] A second acquisition module is configured to acquire a battery life characteristic curve, the battery life characteristic curve representing a mapping relationship between a battery remaining life and preset influence factors, the preset influence factors including a lithium battery cell equivalent membrane pressure, a lithium battery pack state of charge, and a lithium battery pack temperature, and the battery life characteristic curve being obtained based on a test on a calibration lithium battery pack.

[0150] A current battery remaining life determination module is configured to determine a current battery remaining life from the battery life characteristic curve based on the flight occasion cell equivalent membrane pressure, the current state of charge, and the current temperature.

[0151] A determination sub-module is configured to determine that the health state detection result of the lithium battery pack is an unhealthy state when the current battery remaining life exceeds a battery remaining life threshold.

[0152] In some example embodiments, the health state detection result determination module 650 further comprises:

[0153] A battery remaining life maximum value determination module is configured to determine a battery remaining life maximum value based on the battery life characteristic curve.

[0154] A battery remaining life threshold determination module is configured to obtain the battery remaining life threshold based on a product between a battery remaining life conversion coefficient and the battery remaining life maximum value.

[0155] In some example embodiments, the apparatus 600 further comprises:

[0156] A maintenance warning module is configured to perform battery maintenance warning on the lithium battery pack.

[0157] In some example embodiments, the pressure film sensors include a first pressure film sensor disposed between adjacent lithium battery cells, and a second pressure film sensor and a third pressure film sensor disposed between the lithium battery pack and a housing for accommodating the lithium battery pack, the first pressure film sensor configured to collect film pressure of a first side between adjacent lithium battery cells, the second pressure film sensor configured to collect film pressure of a first side between the lithium battery pack and the housing, and the third pressure film sensor configured to collect film pressure of a second side.

[0158] an average film pressure calculation module configured to average the first pressure data and the second pressure data to obtain a first average film pressure and a second average film pressure, respectively;

[0159] a film pressure fusion module configured to linearly fuse the first average film pressure and the second average film pressure based on a film pressure proportionality coefficient to obtain the flight-time on-board cell equivalent film pressure.

[0160] It should be noted that the apparatus provided in the above examples, in realizing its functions, only takes the above-mentioned division of each functional module as an example, and in actual application, the above-mentioned functions can be completed by different functional modules according to needs, that is, the internal structure of the device is divided into different functional modules to complete all or part of the above-described functions. In addition, the apparatus and method embodiments provided in the above examples belong to the same concept, and the specific implementation process is detailed in the method embodiments, which will not be described here.

[0161] The embodiment of the present application provides a kind of aircraft, including lithium battery pack and the aircraft lithium battery pack health status detection device of preceding description, the lithium battery pack includes and is arranged side by side multiple lithium battery cells and the pressure film sensor of being arranged in the lithium battery pack.

[0162] In some example embodiments, the pressure film sensors include a first pressure film sensor disposed between adjacent lithium battery cells, and a second pressure film sensor and a third pressure film sensor disposed between the lithium battery pack and a housing for accommodating the lithium battery pack, the first pressure film sensor configured to collect film pressure of a first side between adjacent lithium battery cells, the second pressure film sensor configured to collect film pressure of a first side between the lithium battery pack and the housing, and the third pressure film sensor configured to collect film pressure of a second side.

[0163] The embodiment of the present application further provides a computer readable storage medium, wherein at least one instruction or at least one program is stored in the computer readable storage medium, and the at least one instruction or the at least one program is loaded and executed by a processor to implement any one of the aircraft lithium battery pack health state detection methods in the embodiment of the present application.

[0164] Optionally, in the embodiment, the storage medium can include but is not limited to a U disk, a read-only memory (ROM), a random access memory (RAM), a mobile hard disk, a magnetic disk or an optical disk, and various storage program code media.

[0165] The embodiment of the present application further provides a computer program product, comprising a computer program, and the computer program is executed by a processor to implement any one of the aircraft lithium battery pack health state detection methods in the embodiment of the present application.

[0166] It should be noted that the above-mentioned sequence of the embodiments of the present application is only for description, and does not represent the advantages and disadvantages of the embodiments. And the above-mentioned description is made for specific embodiments of the present application. Other embodiments are within the scope of the appended claims. In some cases, the actions or steps recorded in the claims can be executed in different order from that in the embodiments and still achieve the desired results. In addition, the processes depicted in the drawings do not necessarily require the specific order or continuous order shown to achieve the desired results. In some embodiments, multi-task processing and parallel processing are possible or can be advantageous.

[0167] Each of the embodiments in the present specification is described in a progressive manner, and the same or similar parts of each of the embodiments can be referred to each other, and each of the embodiments mainly describes the difference from other embodiments. Especially, for the device embodiments, since they are basically similar to the method embodiments, the description is relatively simple, and the related parts can be referred to the part of the method embodiments.

[0168] The above describes in detail the aircraft lithium battery pack health state detection method, related equipment and storage medium provided by the embodiments of the present application, and the principle and implementation mode of the present application are described by applying specific examples; the above embodiment description is only for helping to understand the method and core idea of the present application; at the same time, for those skilled in the art, according to the idea of the present application, the specific implementation mode and application range can be changed; and the above description should not be understood as limiting the present application.

Claims

1. A method for detecting the state of health of a lithium battery pack for an aircraft, characterized in that, The method comprises: During the flight task of the aircraft, first pressure data and second pressure data collected by a pressure film sensor arranged in the lithium battery pack are acquired; the first pressure data comprises the film pressure of the first side of each lithium battery monomer in the lithium battery pack, and the second pressure data comprises the film pressure of the second side of each lithium battery monomer in the lithium battery pack; the first side is larger than the second side; Based on the first pressure data and the second pressure data, the flight time equivalent film pressure of the monomer on board is determined; Based on the bus acceleration data of the aircraft, the current flight state of the aircraft is determined; Based on the flight time equivalent film pressure of the monomer on board and the current flight state, lithium battery monomer swelling prediction is performed to obtain a lithium battery monomer swelling prediction result; In the case where the lithium battery monomer swelling prediction result indicates that lithium battery monomer swelling occurs, based on the flight time equivalent film pressure of the monomer on board, a health state detection result of the lithium battery pack is determined.

2. The method of claim 1, wherein, The lithium battery monomer swelling prediction based on the flight time equivalent film pressure of the monomer on board and the current flight state to obtain a lithium battery monomer swelling prediction result comprises: The rate of change of the flight time equivalent film pressure of the monomer on board relative to the historical equivalent film pressure of the flight time monomer on board is determined to obtain the flight time equivalent film pressure change rate of the monomer on board; In the case where the flight time equivalent film pressure change rate of the monomer on board exceeds the flight time equivalent film pressure change rate threshold, and the current flight state is a preset effective state, it is determined that the lithium battery monomer swelling prediction result is that there is lithium battery monomer swelling; The preset effective state includes that the aircraft is not in any one of the flight states of take-off and landing, acceleration and deceleration, and jolt and vibration, and the duration of not being in any one of the flight states exceeds a preset duration threshold.

3. The method of claim 2, wherein, The determination of the current flight state of the aircraft based on the bus acceleration data of the aircraft comprises: Based on the bus acceleration data of the aircraft, the aircraft axial acceleration, the aircraft horizontal acceleration and the aircraft normal acceleration are determined; The aircraft axial acceleration, the aircraft horizontal acceleration and the aircraft normal acceleration are compared with the acceleration noise threshold of the corresponding direction respectively to obtain the acceleration comparison result of each direction; If the acceleration comparison result of each direction indicates that the acceleration of the direction does not exceed the acceleration noise threshold, it is determined that the aircraft is not currently in any one of the flight states of take-off and landing, acceleration and deceleration, and jolt and vibration; The duration of the aircraft not being in any one of the flight states of take-off and landing, acceleration and deceleration, and jolt and vibration is acquired, and in the case where the duration exceeds the preset duration threshold, the current flight state is determined to be the preset effective state.

4. The method of claim 1, wherein, The determination of the health state detection result of the lithium battery pack based on the flight time equivalent film pressure of the monomer on board comprises: The current state of charge of the lithium battery pack and the current temperature of the lithium battery pack are acquired; obtain a battery life characteristic curve, the battery life characteristic curve representing a mapping relationship between a remaining life of a battery and preset influence factors, the preset influence factors including a lithium battery cell equivalent membrane pressure, a lithium battery pack state of charge, and a lithium battery pack temperature; the battery life characteristic curve is obtained based on a calibration lithium battery pack; determine a current battery remaining life from the battery life characteristic curve based on the flight time airborne cell equivalent membrane pressure, the current state of charge, and a current temperature; in a case where the current battery remaining life exceeds a battery remaining life threshold, determine that a health state detection result of the lithium battery pack is an unhealthy state.

5. The method of claim 4, wherein, The method further includes: determine a maximum battery remaining life based on the battery life characteristic curve; obtain the battery remaining life threshold based on a product of a battery remaining life conversion coefficient and the maximum battery remaining life.

6. The method of claim 4, wherein, After determining that the health state detection result of the lithium battery pack is the unhealthy state, the method further includes: perform battery maintenance warning for the lithium battery pack.

7. The method according to any one of claims 1 to 6, characterized in that, The pressure membrane sensor includes a first pressure membrane sensor disposed between adjacent lithium battery cells, and a second pressure membrane sensor and a third pressure membrane sensor disposed between the lithium battery pack and a shell for accommodating the lithium battery pack, the first pressure membrane sensor being configured to collect a membrane pressure of a first side between adjacent lithium battery cells, the second pressure membrane sensor being configured to collect a membrane pressure of a first side between the lithium battery pack and the shell, and the third pressure membrane sensor being configured to collect a membrane pressure of a second side; the determining of the flight time airborne cell equivalent membrane pressure based on the first pressure data and the second pressure data includes: averaging the first pressure data and the second pressure data respectively to obtain a first average membrane pressure and a second average membrane pressure; linearly fusing the first average membrane pressure and the second average membrane pressure based on a membrane pressure proportionality coefficient to obtain the flight time airborne cell equivalent membrane pressure.

8. An aircraft lithium battery pack state of health detection apparatus, characterized by, The device includes: a pressure data acquisition module configured to acquire first pressure data and second pressure data collected by a pressure membrane sensor disposed in a lithium battery pack during execution of a flight task by an aircraft; the first pressure data includes a membrane pressure of a first side of each lithium battery cell in the lithium battery pack, and the second pressure data includes a membrane pressure of a second side of each lithium battery cell in the lithium battery pack, the first side being larger than the second side; a cell equivalent membrane pressure determination module configured to determine a flight time airborne cell equivalent membrane pressure based on the first pressure data and the second pressure data; a flight state determination module configured to determine a current flight state of the aircraft based on bus acceleration data of the aircraft; a lithium battery cell swelling prediction module configured to perform lithium battery cell swelling prediction based on the flight time airborne cell equivalent membrane pressure and the current flight state to obtain a lithium battery cell swelling prediction result; and a health state determination module configured to determine a health state of the lithium battery pack based on the lithium battery cell swelling prediction result. The health state detection result determination module is configured to, in a case where the lithium battery cell swelling prediction result indicates that lithium battery cell swelling occurs, determine a health state detection result of the lithium battery pack based on the flight occasion cell equivalent diaphragm pressure.

9. An aircraft, characterized in that The aircraft lithium battery pack health state detection device according to claim 8, and a lithium battery pack comprising a plurality of lithium battery cells arranged side by side and a pressure diaphragm sensor arranged in the lithium battery pack.

10. The aircraft of claim 9, wherein, The pressure diaphragm sensor comprises a first pressure diaphragm sensor arranged between adjacent lithium battery cells, and a second pressure diaphragm sensor and a third pressure diaphragm sensor arranged between the lithium battery pack and a shell for accommodating the lithium battery pack, the first pressure diaphragm sensor being configured to collect diaphragm pressure of a first side between adjacent lithium battery cells, the second pressure diaphragm sensor being configured to collect diaphragm pressure of a first side between the lithium battery pack and the shell, and the third pressure diaphragm sensor being configured to collect diaphragm pressure of a second side.

11. A computer readable storage medium characterized by, The computer readable storage medium stores at least one instruction or at least one program, and the at least one instruction or the at least one program is loaded and executed by the processor to implement the aircraft lithium battery pack health state detection method according to any one of claims 1-7.

12. A computer program product, characterised in that, The computer program is executed by the processor to implement the aircraft lithium battery pack health state detection method according to any one of claims 1-7.

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