A method and system for early warning of electric drive system failure

Abstract

The application discloses a kind of electric drive system fault early warning method and system, it is related to electric drive system detection technical field, it solves the technical problem that present technique cannot be in the supply stage to tire is carried out operating characteristic diagnosis in electric drive system, specifically for entering supply stage after electric drive system to tire is powered, and tire operating characteristic is analyzed and diagnosed in energy supply process, and tire is marked as direct supply object, tire energy supply characteristic information is collected, and energy supply characteristic diagnostic coefficient is obtained according to calculation, according to coefficient construction curve and threshold value construction parameter boundary line, and by parameter boundary line is divided into tire efficient section and tire inefficient section, whether tire energy supply characteristic is qualified is analyzed and inferred by corresponding type time period.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of electric drive system detection, in particular to an electric drive system fault early warning method and system. BACKGROUND

[0002] The electric drive system is the core power system of electric vehicles, electric ships, electric aircraft and many industrial devices; electric drive system fault early warning is a key technology that can detect potential problems in the electric drive system in advance to avoid or reduce the damage caused by the failure.

[0003] However, in the prior art, the electric drive system is in the supply stage, and cannot perform battery characteristic diagnosis, and cannot perform running environment detection, so that the electric energy supply efficiency is reduced, in addition, the running characteristic diagnosis of the tire cannot be performed in the supply stage of the electric drive system, and the energy supply detection accuracy is reduced.

[0004] In view of the above technical defects, a solution is proposed. SUMMARY

[0005] The purpose of the present application is to solve the above-mentioned problems, and to provide an electric drive system fault early warning method and system.

[0006] The purpose of the present application can be achieved by the following technical solutions:

[0007] An electric drive system fault early warning method, the fault early warning method process is as follows:

[0008] Battery characteristic diagnosis, battery characteristic diagnosis is performed in the supply stage, the supply performance of the battery pack inside the electric drive system is detected in real time through battery characteristic diagnosis, battery characteristic diagnosis information is collected, and a characteristic diagnosis coefficient is obtained through calculation, whether the characteristic diagnosis of the energy storage main body is abnormal is inferred according to the coefficient, yes, characteristic early warning is performed, no, the next step is performed;

[0009] Running environment control characteristic diagnosis, after the battery characteristic diagnosis is qualified, the battery running energy supply environment in the electric drive system and the influence of environmental control are analyzed synchronously, the influence information of the ring temperature and the influence information of the ring speed are collected, whether the running environment characteristic diagnosis of the electric drive system is abnormal is inferred according to the information, yes, parameter regulation is performed, no, the next step is performed;

[0010] The tire energy supply feature diagnosis, after entering the supply stage, the electric drive system supplies energy to the tire, analyzes and diagnoses the tire running features in the energy supply process, and marks the tire as a direct supply object, collects tire energy supply feature information, and obtains an energy supply feature diagnosis coefficient according to the calculation, constructs a curve according to the coefficient, sets a threshold to construct a parameter boundary line, and divides the tire into a tire high-efficiency section and a tire low-efficiency section through the parameter boundary line, and analyzes and infers whether the tire energy supply feature is qualified through the corresponding type period.

[0011] The energy supply efficiency feature diagnosis, after completing the tire energy supply of the electric drive system and the feature diagnosis, analyzes and diagnoses the energy supply efficiency feature, collects supply stall data and supply delay data, and analyzes and infers whether the energy supply efficiency feature diagnosis of the electric drive system is abnormal according to the data.

[0012] As a preferred embodiment of the present application, the battery feature diagnosis information includes the maximum interval duration increase span of adjacent cycle charging and discharging, the charging speed floating deviation of each energy storage module in the energy storage main body at different charging temperatures, and the maximum deviation value of the remaining amount of any amount of energy storage modules in the energy storage main body at the real-time discharge speed in the discharge stage.

[0013] As a preferred embodiment of the present application, if the feature diagnosis coefficient exceeds the feature diagnosis coefficient threshold, it is inferred that the feature diagnosis of the energy storage main body is abnormal; if the feature diagnosis coefficient does not exceed the feature diagnosis coefficient threshold, it is inferred that the feature diagnosis of the energy storage main body is normal.

[0014] As a preferred embodiment of the present application, the ambient temperature influence information and the ambient speed influence information are respectively the real-time charging temperature rise span peak value and the cumulative sum of the energy storage main body capacity floating span in the charging temperature rise stage, and the total number of speed deviation time points of the real-time charging port power supply speed and the energy storage main body power filling speed in the charging temperature rise stage.

[0015] If the ambient temperature influence information exceeds the span cumulative sum threshold, or the ambient speed influence information exceeds the time point number proportion threshold, an ambient control feature abnormal signal is generated; if the ambient temperature influence information does not exceed the span cumulative sum threshold, and the ambient speed influence information does not exceed the time point number proportion threshold, an ambient control feature normal signal is generated.

[0016] As a preferred embodiment of the present application, the tire energy supply feature information includes the speed deviation value of the rubber tire rotation speed and the wheel shaft center rotation speed in the direct supply object, and the number of revolutions increase span of the wheel at the same position when the direct supply object appears the speed deviation value.

[0017] The energy supply feature diagnosis coefficient of the direct supply object is counted in the new energy electric vehicle driving period, and a coefficient curve is constructed according to each time point, a parameter boundary line is obtained according to the coefficient threshold, and the coefficient curve is divided into a tire high-efficiency section and a tire low-efficiency section according to the parameter boundary line.

[0018] As a preferred embodiment of the present application, high floating data and high stable data are collected, and the high floating data and the high stable data are respectively the maximum value of the floating span under the curve corresponding to the starting period of the electric car in the tire high efficiency section, and the average value of the reciprocating floating span of the curve corresponding to any driving moment in the tire high efficiency section;

[0019] If the high floating data exceeds the peak value threshold of the floating span, or the high stable data exceeds the average value threshold of the reciprocating span, the current tire high efficiency section is determined as a high efficiency unstable section; if the high floating data does not exceed the peak value threshold of the floating span, and the high stable data does not exceed the average value threshold of the reciprocating span, the current tire high efficiency section is determined as a high efficiency stable section.

[0020] As a preferred embodiment of the present application, low uniform floating data and low decreasing floating data are collected, and the low uniform floating data and the low decreasing floating data are respectively the floating frequency of the curve corresponding to the uniform speed driving period of the electric car in the tire low efficiency section, and the increasing frequency of the floating span under the curve corresponding to the deceleration driving period of the electric car;

[0021] If the low uniform floating data exceeds the floating frequency threshold, or the low decreasing floating data exceeds the increasing frequency threshold of the floating span, the current tire low efficiency section is determined as a low efficiency unstable section; if the low uniform floating data does not exceed the floating frequency threshold, and the low decreasing floating data does not exceed the increasing frequency threshold of the floating span, the current tire low efficiency section is determined as a low efficiency stable section.

[0022] As a preferred embodiment of the present application, the driving period of the electric car is analyzed for period type, and if the cumulative length ratio of the high efficiency stable section and the low efficiency stable section exceeds the cumulative length ratio threshold, it is inferred that the current electric drive system tire energy supply is qualified;

[0023] If the length ratio of the low efficiency unstable section exceeds the low efficiency length ratio threshold, it is inferred that the current electric drive system tire energy supply is inefficient; if the length ratio of the high efficiency unstable section exceeds the high efficiency length ratio threshold, it is inferred that the current electric drive system tire energy supply is abnormal.

[0024] As a preferred embodiment of the present application, the supply stall data and the supply delay data are respectively the vehicle speed floating value caused by the power supply amount decrease when the electric car drives without floating in the supply stage of the electric drive system, and the energy supply change delay span when the electric car drives with floating in the supply stage of the electric drive system;

[0025] If the supply stall data exceeds the vehicle speed floating threshold, or the supply delay data exceeds the supply delay threshold, a dangerous energy supply signal is generated; if the supply stall data does not exceed the vehicle speed floating threshold, and the supply delay data does not exceed the supply delay threshold, a normal energy supply signal is generated.

[0026] A kind of electric drive system fault early warning system, including battery characteristic diagnosis unit, operating environment control characteristic diagnosis unit, tire energy supply characteristic diagnosis unit and energy supply efficiency characteristic diagnosis unit;

[0027] Battery characteristic diagnosis unit, battery characteristic diagnosis is carried out in being supplied stage, the supply performance of battery pack inside electric drive system is detected in real time by battery characteristic diagnosis, battery characteristic diagnosis information is collected, and characteristic diagnosis coefficient is obtained by calculation, and whether the characteristic diagnosis of energy storage main body is abnormal is inferred according to coefficient comparison;

[0028] Operating environment control characteristic diagnosis unit, after battery characteristic diagnosis is qualified, the running energy supply environment of battery in electric drive system and the influence of environmental control are synchronously analyzed, ring temperature influence information and ring speed influence information are collected, and whether the running environment characteristic diagnosis of electric drive system is abnormal is inferred according to information comparison;

[0029] Tire energy supply characteristic diagnosis unit, after entering supply stage, electric drive system carries out energy supply to tire, and the running characteristics of tire in energy supply process are analyzed and diagnosed, and tire is marked as direct supply object, tire energy supply characteristic information is collected, and energy supply characteristic diagnosis coefficient is obtained according to calculation, and the threshold value is constructed according to the coefficient curve and parameter boundary line, and is divided into tire high efficiency section and tire low efficiency section by parameter boundary line, whether the tire energy supply characteristic is qualified is inferred by corresponding type period analysis;

[0030] Energy supply efficiency characteristic diagnosis unit, after completing tire energy supply of electric drive system and characteristic diagnosis is qualified, energy supply efficiency characteristic analysis and diagnosis are carried out, supply stall data and supply delay data are collected, and whether the energy supply efficiency characteristic diagnosis of electric drive system is abnormal is inferred according to data analysis.

[0031] Compared with prior art, the beneficial effects of the present application are:

[0032] 1、In the present application, the supply performance of battery pack inside electric drive system is detected in real time by battery characteristic diagnosis, avoids that internal battery pack appears performance anomaly, causes the overall supply efficiency of electric drive system to decline, and battery pack performance anomaly makes supply environment continuously deteriorate, so as to further reduce the supply efficiency of electric drive system, and the cycle increase of hardware loss in electric drive system reduces the natural operation life of electric drive system;

[0033] The running energy supply environment of battery in electric drive system and the influence of environmental control are synchronously analyzed, whether there is running environment influence in subsequent operation process when battery pack performance is qualified is inferred in turn, thereby the supply capacity of electric drive system is reduced, and battery pack running influence parameter is also generated, so that battery pack supply balance is broken, and electric energy supply cannot be efficiently carried out.

[0034] 2、The present application, the tire running characteristics in the energy supply process are analyzed and diagnosed, whether the current energy supply meets the tire running is inferred according to the tire characteristic analysis, avoid energy supply cannot make the tire to drive the current scene, so that the overall supply efficiency of the electric drive system is reduced, affect the operation efficiency and stability of the electric drive system in the new energy electric car, also make the running environment of the tire in the suboptimal state, produce unnecessary tire wear;

[0035] In the process of new energy electric car energy supply of electric drive system, real-time energy supply efficiency analysis is carried out, the energy supply efficiency is inferred whether there is an abnormality through the energy supply efficiency analysis at each moment, so as to adjust the energy supply in time when the energy supply efficiency is abnormal, avoid the supply abnormality when the new energy electric car runs, increase the driving risk. BRIEF DESCRIPTION OF DRAWINGS

[0036] In order to facilitate those skilled in the art to understand, the present application will be further described below in conjunction with the drawings.

[0037] Figure 1 The method flowchart of the present application is shown in the figure.

[0038] Figure 2 The system principle block diagram of the present application is shown in the figure. DETAILED DESCRIPTION

[0039] In order to make the person in the art better understand the present application scheme, the technical scheme in the embodiment of the present application will be described clearly and completely below in conjunction with the drawings in the embodiment of the present application. Obviously, the described embodiment is only a part of the embodiment of the present application, not all. Based on the embodiment in the present application, all other embodiments obtained by those skilled in the art without creative labor belong to the scope of protection of the present application.

[0040] In this paper, the phrase "embodiment" means that the specific features, structures or characteristics described in conjunction with the embodiment can be included in at least one embodiment of the present application. The phrase appears in the specification does not necessarily refer to the same embodiment, nor is it independent or alternative to other embodiments. Those skilled in the art explicitly and implicitly understand that the embodiments described herein can be combined with other embodiments.

[0041] Please refer to Figure 1 The specific fault early warning method process is as follows:

[0042] The electric drive system starts as a new energy electric vehicle power supply source, and is divided into an electric drive supply stage and an electric drive supply stage in the actual power supply process. The electric drive supply stage represents the electric drive internal battery power supply, so that the electric drive system generates supplyable electric energy; the electric drive supply stage represents that the electric drive generates supplyable electric energy for new energy electric vehicle driving, and the corresponding direct power supply is the tire;

[0043] Battery characteristic diagnosis, battery characteristic diagnosis is performed in the supply stage, the supply performance of the internal battery pack of the electric drive system is detected in real time through the battery characteristic diagnosis, the performance of the internal battery pack is avoided to be abnormal, the overall supply efficiency of the electric drive system is caused to decrease, and the performance of the battery pack is abnormal, so that the supply environment is continuously deteriorated, so as to further reduce the supply efficiency of the electric drive system. The cycle increases the hardware loss in the electric drive system, and reduces the natural operation life of the electric drive system;

[0044] Running environment control characteristic diagnosis, after the battery characteristic diagnosis is qualified in the supply stage, the battery running power supply environment and the influence of environmental control in the electric drive system are analyzed synchronously, whether there is an operating environment influence in the subsequent operation process when the battery pack performance is qualified is inferred in turn, thereby reducing the supply capacity of the electric drive system, and also generating battery pack operation influence parameters, thereby breaking the battery pack supply balance and unable to efficiently supply electric energy;

[0045] Tire power supply characteristic diagnosis, enter the supply stage, the electric drive system supplies energy to the tire, and analyzes and diagnoses the tire running characteristics in the energy supply process. Whether the current energy supply meets the tire running is inferred according to the tire characteristic analysis, so as to avoid that the energy supply cannot drive the tire in the current scene, so that the overall supply efficiency of the electric drive system is reduced, the running efficiency and stability of the new energy electric vehicle in which the electric drive system is located are affected, and the running environment of the tire is in a poor state, unnecessary tire wear is generated;

[0046] Energy supply efficiency characteristic diagnosis, after the tire energy supply of the electric drive system is completed and the characteristic diagnosis is qualified, energy supply efficiency characteristic analysis and diagnosis are performed, real-time energy supply efficiency analysis is performed in the electric drive system during the new energy electric vehicle energy supply process. Whether the energy supply efficiency is abnormal is inferred through energy supply efficiency analysis at each moment, so as to timely adjust the energy supply when the energy supply efficiency is abnormal, and avoid that the new energy electric vehicle running appears supply abnormality, which increases the driving risk;

[0047] The battery characteristic diagnosis process is as follows:

[0048] The battery pack in the electric drive system is set as the energy storage main body, the maximum interval duration increase span of adjacent cycles of charging and discharging in the energy storage main body charging and discharging cycle is obtained, and the maximum interval duration increase span of adjacent cycles of charging and discharging in the energy storage main body charging and discharging cycle is marked as ZKD; it can be understood that the adjacent cycles correspond to the use-up of electricity or the fullness of electricity, and there is a risk of excessive power loss or overcharging;

[0049] The charging speed floating deviation of each energy storage module in the energy storage main body under different charging temperatures in the charging stage of the energy storage main body charging and discharging cycle is obtained, and the charging speed floating deviation of each energy storage module in the energy storage main body under different charging temperatures in the charging stage of the energy storage main body charging and discharging cycle is marked as FDP; it can be understood that the energy storage module is a module for storing electricity in the energy storage main body, such as a number of sub-batteries in the battery pack; if the charging speed of the corresponding sub-battery under different temperatures deviates too much, the adaptation speed of the corresponding battery charging in the corresponding charging stage is different, which is easy to cause the performance difference between the sub-batteries to increase;

[0050] The maximum deviation value of the remaining amount of electricity of any amount of energy storage modules at the real-time discharge speed of the energy storage main body in the discharge stage of the energy storage main body charging and discharging cycle is obtained, and the maximum deviation value of the remaining amount of electricity of any amount of energy storage modules at the real-time discharge speed of the energy storage main body in the discharge stage of the energy storage main body charging and discharging cycle is marked as ZDP; it can be understood that if the real-time electricity remaining amount deviation of the energy storage module in the energy storage main body is too large, the corresponding energy storage module is not suitable for combination, which is easy to cause the energy storage module to be overcharged or overdischarged;

[0051] The above collected information is uniformly marked as battery characteristic diagnosis information, and the characteristic diagnosis coefficient of the energy storage main body is obtained by substituting the formula, wherein the formula is:

[0052] G is the characteristic diagnosis coefficient, axz1, axz2 and axz3 are respectively preset proportion coefficients, and β is an error correction factor, and the value is 0.97;

[0053] The characteristic diagnosis coefficient of the energy storage main body is compared with the characteristic diagnosis coefficient threshold value:

[0054] If the characteristic diagnosis coefficient of the energy storage main body exceeds the characteristic diagnosis coefficient threshold value, it is inferred that the characteristic diagnosis of the energy storage main body is abnormal, the battery characteristic warning is carried out, the system marks the corresponding energy storage module of the energy storage main body and gives a warning, and the administrator carries out hardware control of the electric drive system;

[0055] If the characteristic diagnosis coefficient of the energy storage main body does not exceed the characteristic diagnosis coefficient threshold value, it is inferred that the characteristic diagnosis of the energy storage main body is normal;

[0056] The operation of the environmental control characteristic diagnosis process is as follows:

[0057] The corresponding value accumulation sum of the real-time charging temperature rise span peak value and the energy storage main body capacity floating span during the charging process of the electric drive system is obtained, wherein the value accumulation sum only performs addition calculation on the data value, obtains the value floating influence, and does not consider the unit of the data; and the corresponding accumulation sum of the real-time charging temperature rise span peak value and the energy storage main body capacity floating span during the charging process of the electric drive system is marked as the ring temperature influence information;

[0058] The total number of speed deviation time points corresponding to the real-time charging port power supply speed and the energy storage main body power filling speed during the charging temperature rise stage of the electric drive system charging process is obtained, and the total proportion of the speed deviation time points in the charging time is obtained, which reflects whether the charging environment influence exists, and the total number of speed deviation time points corresponding to the real-time charging port power supply speed and the energy storage main body power filling speed during the charging temperature rise stage of the electric drive system charging process is marked as the ring speed influence information;

[0059] And the ring temperature influence information and the ring speed influence information are compared with the span accumulation sum threshold value and the time point number proportion threshold value respectively:

[0060] If the ring temperature influence information exceeds the span accumulation sum threshold value, or the ring speed influence information exceeds the time point number proportion threshold value, it is inferred that the electric drive system operating environment feature diagnosis is abnormal, a ring control feature abnormal signal is generated and sent to the administrator terminal, and the administrator terminal receives the ring control feature abnormal signal and controls the charging environment parameters of the electric drive system, such as temperature control and real-time charging speed control;

[0061] If the ring temperature influence information does not exceed the span accumulation sum threshold value, and the ring speed influence information does not exceed the time point number proportion threshold value, it is inferred that the electric drive system operating environment feature diagnosis is normal, a ring control feature normal signal is generated and sent to the administrator terminal;

[0062] The tire energy supply feature diagnosis process is as follows:

[0063] After the electric drive system completes the supply stage, the electric drive supply stage is performed, and the tire is marked as a direct supply object. During the acceleration or braking process in the electric drive supply stage, the speed deviation value of the rubber tire rotation speed and the wheel shaft center rotation speed in the direct supply object is obtained, and the span of the number of revolutions of the wheel at the same position when the speed deviation value of the direct supply object appears is increased, wherein the span of the number of revolutions of the wheel at the same position when the speed deviation value of the direct supply object appears is increased, which reflects the influence of the number of revolutions of the wheel at the same position; and the speed deviation value of the rubber tire rotation speed and the wheel shaft center rotation speed in the direct supply object, and the span of the number of revolutions of the wheel at the same position when the speed deviation value of the direct supply object appears are respectively marked as SP and QZ;

[0064] The above information is uniformly marked as tire energy supply feature information, and the energy supply feature diagnosis coefficient of the direct supply object is obtained by substituting the formula: wherein g1 and g2 are respectively preset proportion coefficients of the speed deviation value and the lap number increase span, and a is an error correction factor, which is 0.89 when the tire running road surface is a gravel road surface or a rainwater road surface, and is 1.3 when the tire running road surface is a non-gravel road surface or a non-rainwater road surface; wherein the error correction factor of the existing technology affecting tire slip is 0.89 with reference to the gravel road surface and the rainwater road surface;

[0065] The energy supply feature diagnosis coefficient of the direct supply object is counted during the driving period of the new energy electric vehicle, and a coefficient curve is constructed according to each time; a parameter boundary line is obtained according to a coefficient threshold value, and the coefficient curve is divided into a tire high-efficiency section and a tire low-efficiency section according to the parameter boundary line;

[0066] The maximum value of the curve under the floating span corresponding to the electric vehicle starting period in the tire high-efficiency section is obtained, and the average value of the reciprocating floating span of the curve corresponding to any driving time in the tire high-efficiency section is collected, wherein the span represents the vertical interval distance of the curve points corresponding to adjacent time points, such as the Y-axis distance of two points in the curve in the prior art; and the maximum value of the curve under the floating span corresponding to the electric vehicle starting period in the tire high-efficiency section and the average value of the reciprocating floating span of the curve corresponding to any driving time in the tire high-efficiency section are marked as high floating data and high stability data, respectively, and compared with the under-floating span peak threshold value and the reciprocating span average threshold value, respectively:

[0067] If the maximum value of the curve under the floating span corresponding to the electric vehicle starting period in the tire high-efficiency section exceeds the under-floating span peak threshold value, or the average value of the reciprocating floating span of the curve corresponding to any driving time in the tire high-efficiency section exceeds the reciprocating span average threshold value, the current tire high-efficiency section is determined as a high-efficiency unstable section;

[0068] If the maximum value of the curve under the floating span corresponding to the electric vehicle starting period in the tire high-efficiency section does not exceed the under-floating span peak threshold value, and the average value of the reciprocating floating span of the curve corresponding to any driving time in the tire high-efficiency section does not exceed the reciprocating span average threshold value, the current tire high-efficiency section is determined as a high-efficiency stable section;

[0069] The floating frequency of the curve corresponding to the electric vehicle uniform driving period and the under-floating span increase frequency of the curve corresponding to the electric vehicle deceleration driving period in the tire low-efficiency section are collected, and the floating frequency of the curve corresponding to the electric vehicle uniform driving period and the under-floating span increase frequency of the curve corresponding to the electric vehicle deceleration driving period in the tire low-efficiency section are marked as low uniform floating data and low deceleration floating data, respectively, and compared with the floating frequency threshold value and the under-floating span increase frequency threshold value, respectively:

[0070] If the floating frequency of the curve corresponding to the uniform speed driving period of the electric vehicle in the tire inefficient section exceeds the floating frequency threshold, or the increase frequency of the floating span of the curve corresponding to the deceleration driving period of the electric vehicle exceeds the increase frequency threshold of the floating span, the current tire inefficient section is determined as an inefficient unstable section;

[0071] If the floating frequency of the curve corresponding to the uniform speed driving period of the electric vehicle in the tire inefficient section does not exceed the floating frequency threshold, and the increase frequency of the floating span of the curve corresponding to the deceleration driving period of the electric vehicle does not exceed the increase frequency threshold of the floating span, the current tire inefficient section is determined as an inefficient stable section;

[0072] The period type analysis is performed on the driving period of the electric vehicle, and if the cumulative time length ratio of the efficient stable section and the inefficient stable section exceeds the cumulative time length ratio threshold, it is inferred that the current tire energy supply of the electric drive system is qualified;

[0073] If the time length ratio of the inefficient unstable section exceeds the inefficient time length ratio threshold, it is inferred that the current tire energy supply of the electric drive system is inefficient, and the energy supply of the electric drive system is controlled, that is, the rotation of the corresponding transmission shaft of the motor is improved by increasing the power supply;

[0074] If the time length ratio of the efficient unstable section exceeds the efficient time length ratio threshold, it is inferred that the current tire energy supply of the electric drive system is abnormal, and the energy supply of the electric drive system is maintained and the motor operation is detected;

[0075] The technical solution is aimed at the energy supply of the electric drive system and the transmission of the tire, and whether the energy supply is qualified is inferred through the rotation speed deviation of the energy supply transmission shaft and the tire, and in the analysis process, the efficient section and the inefficient section are divided to reduce the influence of the starting of the electric vehicle on the energy supply during the driving of the electric vehicle;

[0076] The energy supply efficiency feature diagnosis process is as follows:

[0077] The vehicle speed floating value caused by the decrease of the power supply when the electric vehicle drives without floating in the power supply stage of the electric drive system is obtained, and the energy supply change delay span when the electric vehicle drives with speed floating in the power supply stage of the electric drive system is obtained, and the vehicle speed floating value caused by the decrease of the power supply when the electric vehicle drives without floating in the power supply stage of the electric drive system and the energy supply change delay span when the electric vehicle drives with speed floating in the power supply stage of the electric drive system are marked as power supply stall data and power supply delay data respectively, and compared with the speed floating threshold and the power supply delay threshold respectively:

[0078] If the vehicle speed floating value caused by the decrease of the power supply when the electric vehicle drives without floating in the power supply stage of the electric drive system exceeds the speed floating threshold, or the energy supply change delay span when the electric vehicle drives with speed floating in the power supply stage of the electric drive system exceeds the power supply delay threshold, it is inferred that the energy supply efficiency feature diagnosis of the electric drive system is abnormal, a power supply danger signal is generated and sent to the administrator, and after receiving the power supply danger signal, the administrator stops the power supply of the electric drive system and performs comprehensive maintenance.

[0079] If the vehicle speed fluctuation value caused by the decrease of power supply amount when the electric drive system supplies the electric vehicle without floating driving does not exceed the vehicle speed fluctuation threshold, and the power supply change delay span when the electric drive system supplies the electric vehicle with speed fluctuation does not exceed the supply delay threshold, it is concluded that the power supply efficiency characteristic diagnosis of the electric drive system is normal, a power supply normal signal is generated and sent to the administrator;

[0080] Floating-free driving means driving on a road without slopes, potholes, and vehicle speed fluctuations, where the electric vehicle operating jitter and speed fluctuation are set within a threshold range, and those within the range are determined to be floating-free driving;

[0081] Please refer to Figure 2 The electric drive system fault early warning system includes a battery characteristic diagnosis unit, an operating environment control characteristic diagnosis unit, a tire power supply characteristic diagnosis unit, and a power supply efficiency characteristic diagnosis unit.

[0082] The battery characteristic diagnosis unit performs battery characteristic diagnosis in the supply stage, detects the supply performance of the battery pack inside the electric drive system in real time through battery characteristic diagnosis, collects battery characteristic diagnosis information, and obtains a characteristic diagnosis coefficient through calculation, and determines whether the characteristic diagnosis of the energy storage body is abnormal according to the coefficient comparison.

[0083] The operating environment control characteristic diagnosis unit synchronously analyzes the battery operating power supply environment and environmental control influence in the electric drive system after the battery characteristic diagnosis is qualified, collects ambient temperature influence information and ambient speed influence information, and determines whether the operating environment characteristic diagnosis of the electric drive system is abnormal according to the information comparison.

[0084] The tire power supply characteristic diagnosis unit supplies power to the tire of the electric drive system after entering the supply stage, analyzes and diagnoses the tire operating characteristics during power supply, marks the tire as a direct supply object, collects tire power supply characteristic information, and obtains a power supply characteristic diagnosis coefficient according to the calculation, constructs a curve according to the coefficient, sets a threshold value to construct a parameter boundary line, and divides the tire into a tire high-efficiency section and a tire low-efficiency section through the parameter boundary line. Determine whether the tire power supply characteristics are qualified through corresponding type period analysis.

[0085] The power supply efficiency characteristic diagnosis unit performs power supply efficiency characteristic analysis and diagnosis after completing tire power supply of the electric drive system and characteristic diagnosis, collects supply stall data and supply delay data, and determines whether the power supply efficiency characteristic diagnosis of the electric drive system is abnormal according to data analysis.

[0086] The above formulas are obtained by collecting a large amount of data for software simulation and selecting a formula close to the true value, and the coefficients in the formula are set by the person skilled in the art according to the actual situation;

[0087] The preferred embodiments of the application disclosed above are only to facilitate the elucidation of the application. The preferred embodiments do not describe all the details of the application and limit the application to the specific embodiments. Obviously, many modifications and variations can be made in light of the teachings above. The description is chosen and described in order to provide the best illustration of the application and its practical application to those skilled in the art and to enable those skilled in the art to best utilize the application. The application is limited only by the claims and their full scope and equivalents.

Claims

1. A method for early warning of failure of an electric drive system, characterized in that The fault early warning method process is as follows: Battery characteristic diagnosis, battery characteristic diagnosis is performed in the supply stage, the supply performance of the battery pack inside the electric drive system is detected in real time through the battery characteristic diagnosis, battery characteristic diagnosis information is collected, and a characteristic diagnosis coefficient is obtained through calculation, whether the characteristic diagnosis of the energy storage main body is abnormal is inferred according to the coefficient, yes, characteristic early warning is performed, no, the next step is performed; Running environment control characteristic diagnosis, after the battery characteristic diagnosis is qualified, the running energy supply environment of the battery in the electric drive system and the influence of environmental control are analyzed synchronously, ring temperature influence information and ring speed influence information are collected, whether the running environment characteristic diagnosis of the electric drive system is abnormal is inferred according to the information, yes, parameter regulation is performed, no, the next step is performed; The ring temperature influence information and the ring speed influence information are respectively the cumulative sum of the real-time charging temperature rising span peak value and the storage main body capacity floating span in the charging temperature rising stage, and the total number of speed deviation time points corresponding to the charging port power supply speed and the energy storage main body power filling speed in the charging temperature rising stage; If the ring temperature influence information exceeds the span cumulative sum threshold, or the ring speed influence information exceeds the time point number ratio threshold, an environment control characteristic abnormal signal is generated; If the ring temperature influence information does not exceed the span cumulative sum threshold, and the ring speed influence information does not exceed the time point number ratio threshold, an environment control characteristic normal signal is generated; Tire energy supply characteristic diagnosis, after entering the supply stage, the electric drive system supplies energy to the tire, analyzes and diagnoses the tire running characteristics in the energy supply process, and marks the tire as a direct supply object, collects tire energy supply characteristic information, and obtains an energy supply characteristic diagnosis coefficient according to the calculation, constructs a curve according to the coefficient, and sets a threshold to construct a parameter boundary line, and divides the tire into a tire high efficiency section and a tire low efficiency section through the parameter boundary line, and infers whether the tire energy supply characteristic is qualified through corresponding type period analysis; The tire energy supply characteristic information includes the speed deviation value of the rubber tire rotation speed and the wheel shaft center rotation speed in the direct supply object, and the number of increased circles when the direct supply object appears speed deviation value in the same position rotation; The energy supply characteristic diagnosis coefficient of the direct supply object is counted in the new energy electric car driving period, and a coefficient curve is constructed according to each time point, a parameter boundary line is obtained according to the coefficient threshold, and the coefficient curve is divided into a tire high efficiency section and a tire low efficiency section according to the parameter boundary line; Collect high floating data and high stable data, and the high floating data and the high stable data are respectively the maximum value of the floating span under the curve corresponding to the tire high efficiency section in the electric car starting period, and the average value of the reciprocating floating span of the curve corresponding to any driving time in the tire high efficiency section; If the high floating data exceeds the peak value threshold of the floating span under the curve, or the high stable data exceeds the average value threshold of the reciprocating span, the current tire high efficiency section is determined as a high efficiency unstable section; If the high floating data does not exceed the peak value threshold of the floating span under the curve, and the high stable data does not exceed the average value threshold of the reciprocating span, the current tire high efficiency section is determined as a high efficiency stable section; Collect low uniform floating data and low reduced floating data, and the low uniform floating data and the low reduced floating data are respectively the floating frequency of the curve corresponding to the electric car uniform driving period in the tire low efficiency section and the floating span increase frequency of the curve corresponding to the electric car deceleration driving period; If the low uniform floating data exceeds the floating frequency threshold value, or the low and reduced floating data exceeds the reduced floating span increase frequency threshold value, the current tire low efficiency section is determined as a low efficiency unstable section; if the low uniform floating data does not exceed the floating frequency threshold value, and the low and reduced floating data does not exceed the reduced floating span increase frequency threshold value, the current tire low efficiency section is determined as a low efficiency stable section; For energy supply efficiency feature diagnosis, after the tire energy supply of the electric drive system is qualified and feature diagnosis is completed, energy supply efficiency feature analysis diagnosis is performed, supply stall data and supply delay data are collected, and whether the energy supply efficiency feature diagnosis of the electric drive system is abnormal is inferred according to data analysis.

2. The method of claim 1, wherein, The battery feature diagnosis information includes the maximum interval time span increase span of adjacent cycle charging and discharging, the charging speed floating deviation of each energy storage module in the energy storage main body at different charging temperatures, and the maximum deviation value of the residual amount of any amount of energy storage modules in the energy storage main body at the same discharging speed in the discharging stage.

3. The method of claim 2, wherein, If the feature diagnosis coefficient exceeds the feature diagnosis coefficient threshold value, it is inferred that the feature diagnosis of the energy storage main body is abnormal; If the feature diagnosis coefficient does not exceed the feature diagnosis coefficient threshold value, it is inferred that the feature diagnosis of the energy storage main body is normal.

4. The method of claim 1, wherein, The section type analysis is performed on the electric vehicle driving period, if the cumulative time length ratio of the high efficiency stable section and the low efficiency stable section exceeds the cumulative time length ratio threshold value, it is inferred that the current tire energy supply of the electric drive system is qualified; If the time length ratio of the low efficiency unstable section exceeds the low efficiency time length ratio threshold value, it is inferred that the current tire energy supply of the electric drive system is inefficient; if the time length ratio of the high efficiency unstable section exceeds the high efficiency time length ratio threshold value, it is inferred that the current tire energy supply of the electric drive system is abnormal.

5. The method of claim 1, wherein, The supply stall data and the supply delay data are respectively the vehicle speed floating value caused by the supply power decrease when the electric vehicle floats without floating during the supply stage of the electric drive system, and the supply energy change delay span when the electric vehicle driving speed floats during the supply stage of the electric drive system; If the supply stall data exceeds the vehicle speed floating threshold value, or the supply delay data exceeds the supply delay threshold value, an energy supply danger signal is generated; if the supply stall data does not exceed the vehicle speed floating threshold value, and the supply delay data does not exceed the supply delay threshold value, an energy supply normal signal is generated.

6. An electric drive system failure early warning system characterized by, The electric drive system fault early warning method according to any one of claims 1-5.

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