Energy monitoring and anomaly detection reminding system for new energy automobile

Abstract

The invention belongs to the technical field of automobile supervision, and particularly relates to a new energy automobile energy monitoring and anomaly detection reminding system which comprises a charging and discharging balance detection module, a cooling decision control module, a hidden danger evaluation alarm module, a vehicle-mounted reminding end and a mobile intelligent terminal. The charging and discharging balance detection module reasonably analyzes and feeds back the charging and discharging consistency of the battery pack in the new energy automobile, and the cooling decision control module accurately analyzes the temperature risk of the battery pack in the new energy automobile and realizes automatic cooling control. And the hidden danger assessment and alarm module accurately assesses the operation safety hidden danger of the battery pack in the new energy automobile in the detection time period, and reminds a user to perform reason investigation and analysis and take corresponding treatment and improvement measures when a high hidden danger signal of the battery pack is generated, so that the operation risk of the new energy automobile is remarkably reduced, and the intelligent degree is high.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile supervision, and in particular to a new energy automobile energy monitoring and abnormality detection reminder system. Background Art

[0002] New energy vehicles refer to vehicles that use unconventional automotive fuels as their power source and integrate advanced technologies in vehicle power control and drive to form vehicles with advanced technical principles, new technologies, and new structures. They mainly refer to pure electric vehicles or plug-in hybrid vehicles.

[0003] The battery pack of a new energy vehicle is one of the core components of the vehicle. It is responsible for storing and providing electrical energy to drive the vehicle. Currently, it is difficult to effectively monitor the battery pack in a new energy vehicle, and it is impossible to automatically detect abnormalities in the battery pack and accurately assess its charging and discharging risks, which is not conducive to ensuring the safe operation of new energy vehicles and has a low level of intelligence.

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

[0005] The purpose of the present invention is to provide a new energy vehicle energy monitoring and abnormality detection reminder system, which solves the problem that the existing technology is difficult to achieve effective monitoring of battery packs in new energy vehicles, cannot automatically detect abnormalities of battery packs and accurately evaluate their charging and discharging risks, which is not conducive to ensuring the safe operation of new energy vehicles.

[0006] To achieve the above object, the present invention provides the following technical solutions:

[0007] New energy vehicle energy monitoring and abnormal detection reminder system, including charging and discharging balance detection module, cooling decision control module, hidden danger assessment alarm module, vehicle reminder terminal and mobile smart terminal;

[0008] During the charging or discharging process of the new energy vehicle, the charge-discharge balance detection module detects and analyzes the charge-discharge balance of the battery pack, generates a balance qualification signal or a balance abnormality signal through analysis, and sends the balance qualification signal or the balance abnormality signal to the hidden danger assessment alarm module;

[0009] During the charging or discharging process of the new energy vehicle, the cooling decision control module analyzes the temperature risk of the battery pack, determines whether the battery pack is in a cooling warning state through analysis, adjusts the cooling strategy to speed up the cooling efficiency of the battery pack when it is determined that the battery pack is in a cooling warning state, and sends the judgment information to the hidden danger assessment alarm module when it is determined that the battery pack is in a cooling warning state;

[0010] The hidden danger assessment alarm module will assess the operational safety hidden dangers of the battery pack in the new energy vehicle during the detection period, generate a battery pack high hidden danger signal or a battery pack low hidden danger signal through analysis, and send the battery pack high hidden danger signal or the battery pack low hidden danger signal to the vehicle reminder terminal and the mobile smart terminal.

[0011] Furthermore, the specific analysis process of the charge-discharge balance detection module is as follows:

[0012] The real-time voltage and real-time current of each single cell in the battery pack are obtained, the real-time voltage of all single cells is calculated to obtain the voltage inconsistency coefficient, the real-time current of all single cells is calculated to obtain the current inconsistency coefficient, and the voltage inconsistency coefficient and the current inconsistency coefficient are numerically compared with the preset voltage inconsistency coefficient threshold and the preset current inconsistency coefficient threshold respectively. If the voltage inconsistency coefficient or the current inconsistency coefficient exceeds the corresponding preset threshold, an abnormal balance signal is generated; if both the voltage inconsistency coefficient and the current inconsistency coefficient do not exceed the corresponding preset threshold, a qualified balance signal is generated.

[0013] Furthermore, the analysis and judgment process of the temperature drop warning state is as follows:

[0014] The real-time temperature and temperature growth rate of the corresponding single cells in the battery pack are collected and marked as the battery temperature condition value and the battery temperature value increment, and the battery temperature condition value and the battery temperature value increment are numerically calculated to obtain the battery temperature measurement value; the battery temperature measurement values ​​of all single cells in the battery pack are averaged to obtain the battery pack temperature detection value, and the number of single cells in the battery pack whose battery temperature measurement values ​​exceed the preset battery temperature measurement threshold is marked as the battery abnormality value, and the battery temperature measurement value with the largest value is marked as the battery temperature amplitude value;

[0015] The temperature risk value is obtained by numerically calculating the battery pack temperature inspection value, battery abnormality value and battery temperature amplitude value, and the temperature risk value is numerically compared with the preset temperature risk threshold. If the temperature risk value exceeds the preset temperature risk threshold, it is judged that the battery pack is currently in a temperature drop warning state.

[0016] Furthermore, the analysis process of the hidden danger assessment alarm module includes:

[0017] The number of times the balance abnormality signal is generated within the detection period is collected and marked as the balance abnormality value, and when it is determined that the battery pack is in the temperature drop warning state, the timing is started to obtain the temperature drop warning duration, and all the temperature drop warning durations within the detection period are summed up to obtain the total temperature drop warning duration value, and the temperature drop warning duration is numerically compared with the preset temperature drop warning duration threshold, and the number of temperature drop warning durations exceeding the preset temperature drop warning duration threshold within the detection period is marked as the temperature drop warning frequency value;

[0018] The battery pack hidden danger assessment value is obtained by numerically calculating the balanced abnormal condition value, the total temperature drop warning time value and the temperature drop warning dangerous frequency value. The battery pack hidden danger assessment value is numerically compared with the preset battery pack hidden danger assessment threshold. If the battery pack hidden danger assessment value exceeds the preset battery pack hidden danger assessment threshold, a battery pack high hidden danger signal is generated; if the battery pack hidden danger assessment value does not exceed the preset battery pack hidden danger assessment threshold, a battery pack low hidden danger signal is generated.

[0019] Furthermore, the hidden danger assessment and alarm module is communicatively connected to the combined performance analysis module, and the hidden danger assessment and alarm module sends the battery pack low hidden danger signal to the combined performance analysis module. When the combined performance analysis module receives the battery pack low hidden danger signal, it analyzes the combined performance of the battery pack in the new energy vehicle, generates a combined performance abnormal signal or a combined performance normal signal through the analysis, and sends the combined performance abnormal signal or the combined performance normal signal to the vehicle-mounted reminder terminal and the mobile smart terminal.

[0020] Furthermore, the specific analysis process of the combined performance analysis module includes:

[0021] When the amount of electricity stored in the battery pack is lower than a preset power-deficit threshold, the battery pack is judged to be in a power-deficit state. When the battery pack is judged to be in a power-deficit state, timing is started until the amount of electricity exceeds the preset power-deficit threshold again, thereby obtaining a power-deficit duration, comparing the power-deficit duration with the preset power-deficit duration threshold, marking the number of power-deficit durations exceeding the preset power-deficit duration threshold in a historical stage as a power-deficit amplitude detection value, and summing up all power-deficit durations in the historical stage to obtain a total power-deficit duration value;

[0022] And during the charging process, when the amount of electricity stored in the battery pack reaches a preset upper limit threshold, the timing starts until charging is stopped, and the supercharge duration is obtained based on this, and the supercharge duration is numerically compared with the preset supercharge duration threshold, and the number of supercharge durations exceeding the preset supercharge duration threshold in the historical stage is marked as the supercharge amplitude detection value, and all supercharge durations in the historical stage are summed up and calculated to obtain the total supercharge duration value;

[0023] The production interval duration of the battery pack in the new energy vehicle is collected, and the total number of charging times of the battery pack in the historical stage is marked as the battery pack charge inspection value; the combined performance initial inspection value is obtained by numerically calculating the low power amplitude inspection value, the total low power time value, the overcharge amplitude inspection value, the total overcharge time value, the production interval duration and the battery pack charge inspection value; the combined performance initial inspection value is numerically compared with the preset combined performance initial inspection threshold value; if the combined performance initial inspection value exceeds the preset combined performance initial inspection threshold value, a combined performance abnormality signal is generated.

[0024] Furthermore, if the combined performance initial inspection value does not exceed the preset combined performance initial inspection threshold, the attenuation deformation analysis is performed to identify the non-excellent batteries in the battery pack, the number of non-excellent batteries in the battery pack is obtained and the ratio of the non-excellent batteries to the total number of single cells is calculated to obtain the non-excellent number percentage, and the storage attenuation values ​​of all single cells in the battery pack are averaged to obtain the attenuation performance value, and the battery deformation coefficients of all single cells in the battery pack are averaged to obtain the deformation performance value;

[0025] A combined performance evaluation value is obtained by numerically calculating the initial inspection value of the combined performance, the non-excellent number value, the attenuation performance value and the deformation performance value, and the combined performance evaluation value is numerically compared with a preset combined performance evaluation threshold. If the combined performance evaluation value exceeds the preset combined performance evaluation threshold, a combined performance abnormal signal is generated; if the combined performance evaluation value does not exceed the preset combined performance evaluation threshold, a combined performance normal signal is generated.

[0026] Furthermore, the specific analysis process of attenuation deformation analysis is as follows:

[0027] A number of detection points are set on the corresponding single battery, and the deformation values ​​of the corresponding detection points are collected. The deformation values ​​of the corresponding detection points are numerically compared with the preset deformation threshold values. If the deformation value exceeds the preset deformation threshold value, the corresponding detection point is marked as a dangerous point.

[0028] The number of dangerous points on the corresponding single battery is obtained and the ratio thereof is calculated with the total number of detection points to obtain the dangerous number detection value, and the deformation value of the corresponding dangerous point exceeding the preset deformation threshold is marked as the deformation over-detection value, the deformation over-detection values ​​of all dangerous points are averaged to obtain the deformation over-table value, and the deformation over-detection value with the largest value is marked as the deformation over-amplitude value, and the battery deformation coefficient of the corresponding single battery is obtained by numerically calculating the dangerous number detection value, the deformation over-table value and the deformation over-amplitude value;

[0029] The actual charge capacity of the corresponding single battery when the battery pack was last fully charged is collected, the standard capacity of the corresponding single battery is subtracted from its actual charge capacity, and the ratio of the difference calculation to the corresponding standard capacity is marked as the capacity attenuation value;

[0030] The battery deformation coefficient and the power attenuation value are numerically compared with the preset battery deformation coefficient threshold and the preset power attenuation threshold. If the battery deformation coefficient or the power attenuation value exceeds the preset corresponding threshold, the corresponding single battery is marked as a non-excellent battery.

[0031] Compared with the prior art, the present invention has the following beneficial effects:

[0032] 1. In the present invention, the charge-discharge balance detection module reasonably analyzes and feeds back the charge-discharge consistency of the battery pack in the new energy vehicle, the temperature reduction decision control module accurately analyzes the temperature risk of the battery pack in the new energy vehicle and realizes automatic temperature reduction control, and the hidden danger assessment and alarm module accurately assesses the operation safety hidden dangers of the battery pack in the new energy vehicle during the detection period and takes corresponding treatment and improvement measures in time, thereby significantly reducing the operation risk of the new energy vehicle;

[0033] 2. In the present invention, the battery pack low hidden danger signal is sent to the combined performance analysis module through the hidden danger assessment alarm module. When the combined performance analysis module receives the battery pack low hidden danger signal, it analyzes the combined performance of the battery pack in the new energy vehicle, and reminds the user to replace the battery pack when the combined performance abnormality signal is generated, thereby further reducing the operating risk of the new energy vehicle, significantly reducing the difficulty of management and control of the new energy vehicle, and having a high degree of intelligence. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] In order to facilitate understanding by those skilled in the art, the present invention is further described below in conjunction with the accompanying drawings;

[0035] Figure 1 This is a system block diagram of Embodiment 1 of the present invention;

[0036] Figure 2 This is a system block diagram of Embodiment 2 of the present invention. DETAILED DESCRIPTION

[0037] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0038] Embodiment 1: Figure 1 As shown, the new energy vehicle energy monitoring and abnormal detection reminder system proposed by the present invention includes a charging and discharging balance detection module, a cooling decision control module, a hidden danger assessment alarm module, a vehicle reminder terminal and a mobile intelligent terminal;

[0039] During the charging or discharging process of new energy vehicles, the charge and discharge balance detection module detects and analyzes the charge and discharge balance of the battery pack, generates a qualified balance signal or a balanced abnormality signal through analysis, and sends the qualified balance signal or the balanced abnormality signal to the hidden danger assessment alarm module, which can reasonably analyze and feedback the charge and discharge consistency of the battery pack in the new energy vehicle, and provide information support for the analysis process of the hidden danger assessment alarm module, thereby ensuring the accuracy of its analysis results; the specific analysis process of the charge and discharge balance detection module is as follows:

[0040] The real-time voltage and real-time current of each single cell in the battery pack are obtained, and the real-time voltage of all single cells is calculated by variance to obtain the voltage inconsistency coefficient, and the real-time current of all single cells is calculated by variance to obtain the current inconsistency coefficient; wherein, the larger the values ​​of the voltage inconsistency coefficient and the current inconsistency coefficient are, the worse the current voltage consistency and current consistency of the battery pack are;

[0041] The voltage inconsistency coefficient and the current inconsistency coefficient are numerically compared with the preset voltage inconsistency coefficient threshold and the preset current inconsistency coefficient threshold respectively. If the voltage inconsistency coefficient or the current inconsistency coefficient exceeds the corresponding preset threshold, it indicates that the current voltage consistency and current consistency of the battery pack are poor, and a balance abnormality signal is generated; if both the voltage inconsistency coefficient and the current inconsistency coefficient do not exceed the corresponding preset threshold, it indicates that the current voltage consistency and current consistency of the battery pack are good, and a balance qualified signal is generated.

[0042] During the charging or discharging process of new energy vehicles, the cooling decision control module analyzes the temperature risk of the battery pack, and determines whether the battery pack is in a cooling warning state through analysis. When the battery pack is judged to be in a cooling warning state, the cooling strategy is adjusted to speed up the cooling efficiency of the battery pack, and when the battery pack is judged to be in a cooling warning state, the judgment information is sent to the hidden danger assessment alarm module. It can not only reasonably analyze and feedback the temperature risk of the battery pack in the new energy vehicle and realize automatic cooling control, but also provide information support for the analysis process of the hidden danger assessment alarm module, and further ensure the accuracy of its analysis results; the analysis and judgment process of the cooling warning state is as follows:

[0043] The real-time temperature and temperature growth rate of the corresponding single battery in the battery pack are collected and marked as the battery temperature condition value and the battery temperature increment value. The battery temperature condition value QS and the battery temperature increment value QF are numerically calculated by the formula QW=(ey1*QS+ey2*QF) / (ey1+ey2) to obtain the battery temperature measurement value QW; wherein ey1 and ey2 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the battery temperature measurement value QW, the worse the temperature condition of the corresponding single battery;

[0044] The battery temperature measurement values ​​of all single cells in the battery pack are averaged to obtain the battery pack temperature detection value, and the battery temperature measurement value with the largest value is marked as the battery temperature amplitude value.

[0045] The temperature risk value YX is obtained by numerically calculating the battery pack temperature detection value YN, the battery abnormality value YS and the battery temperature amplitude value YF through the formula YX=sq2*YS+(sq1*YN+sq3*YF) / 2; wherein sq1, sq2 and sq3 are preset proportional coefficients, sq2>sq1>sq3>0; and the larger the value of the temperature risk value YX is, the greater the overall temperature risk of the battery pack is, and the more it is necessary to accelerate heat dissipation and cooling in time;

[0046] The temperature risk value YX is numerically compared with the preset temperature risk threshold. If the temperature risk value YX exceeds the preset temperature risk threshold, it indicates that the current temperature risk of the battery pack is relatively large overall, and heat dissipation and cooling need to be accelerated in time. In this case, it is judged that the battery pack is currently in a temperature drop warning state.

[0047] The hidden danger assessment and alarm module assesses the operational safety hidden dangers of the battery pack in the new energy vehicle during the detection period, generates a high hidden danger signal of the battery pack or a low hidden danger signal of the battery pack through analysis, and sends the high hidden danger signal of the battery pack or the low hidden danger signal of the battery pack to the vehicle reminder terminal and the mobile smart terminal;

[0048] The vehicle reminder terminal and the mobile smart terminal display the high potential risk signal of the battery pack or the low potential risk signal of the battery pack, and issue an early warning when receiving the high potential risk signal of the battery pack, so as to remind the user to investigate and analyze the cause and take corresponding improvement measures to reduce the operating risk of the new energy vehicle; the analysis process of the potential risk assessment alarm module is as follows:

[0049] The number of times the balance abnormality signal is generated within the detection period is collected and marked as the balance abnormality value, and when it is determined that the battery pack is in the temperature drop warning state, the timing is started to obtain the temperature drop warning duration, and all the temperature drop warning durations within the detection period are summed up to obtain the total temperature drop warning duration value, and the temperature drop warning duration is numerically compared with the preset temperature drop warning duration threshold, and the number of temperature drop warning durations exceeding the preset temperature drop warning duration threshold within the detection period is marked as the temperature drop warning frequency value;

[0050] By formula The balanced abnormal condition value NY, the total time value of the temperature drop warning NS and the dangerous frequency value of the temperature drop warning NP are numerically calculated to obtain the battery pack hidden danger assessment value NX; wherein hy1, hy2 and hy3 are preset proportional coefficients, hy3>hy1>hy2>0; and the larger the value of the battery pack hidden danger assessment value NX is, the greater the overall operating safety hidden danger of the battery pack is;

[0051] The battery pack hidden danger assessment value NX is numerically compared with the preset battery pack hidden danger assessment threshold. If the battery pack hidden danger assessment value NX exceeds the preset battery pack hidden danger assessment threshold, it indicates that the current operating safety hazards of the battery pack are generally large, and a battery pack high hidden danger signal is generated; if the battery pack hidden danger assessment value NX does not exceed the preset battery pack hidden danger assessment threshold, it indicates that the current operating safety hazards of the battery pack are generally small, and a battery pack low hidden danger signal is generated.

[0052] Embodiment 2: Figure 2 As shown, the difference between this embodiment and the first embodiment is that the hidden danger assessment alarm module is communicatively connected to the combined performance analysis module, the hidden danger assessment alarm module sends the battery pack low hidden danger signal to the combined performance analysis module, and the combined performance analysis module analyzes the combined performance of the battery pack in the new energy vehicle when receiving the battery pack low hidden danger signal;

[0053] By analyzing and generating a combination performance abnormality signal or a combination performance normal signal, and sending the combination performance abnormality signal or the combination performance normal signal to the vehicle reminder terminal and the mobile intelligent terminal, the vehicle reminder terminal and the mobile intelligent terminal display the combination performance abnormality signal or the combination performance normal signal, and issue an early warning when receiving the combination performance abnormality signal to remind the user to replace the battery pack, further reducing the operating risk of new energy vehicles, significantly reducing the difficulty of control of new energy vehicles, and having a high degree of intelligence; the specific analysis process of the combination performance analysis module is as follows:

[0054] When the amount of electricity stored in the battery pack is lower than a preset power-deficit threshold, the battery pack is judged to be in a power-deficit state. When the battery pack is judged to be in a power-deficit state, timing is started until the amount of electricity exceeds the preset power-deficit threshold again, thereby obtaining a power-deficit duration, comparing the power-deficit duration with the preset power-deficit duration threshold, marking the number of power-deficit durations exceeding the preset power-deficit duration threshold in a historical stage as a power-deficit amplitude detection value, and summing up all power-deficit durations in the historical stage to obtain a total power-deficit duration value;

[0055] And during the charging process, when the amount of electricity stored in the battery pack reaches a preset upper limit threshold, the timing starts until charging is stopped, thereby obtaining the supercharge duration; the supercharge duration is numerically compared with the preset supercharge duration threshold, and the number of supercharge durations exceeding the preset supercharge duration threshold in the historical stage is marked as the supercharge amplitude detection value, and all supercharge durations in the historical stage are summed up to obtain the supercharge total time value;

[0056] The production interval of the battery pack in the new energy vehicle is collected, where the production interval is the interval between the production date of the battery pack and the current date, and the total number of times the battery pack is charged in the historical stage is marked as the battery pack charge inspection value;

[0057] The combined performance initial inspection value TX is obtained by numerically calculating the power-deficient amplitude inspection value TF, the power-deficient total time value TK, the overcharge amplitude inspection value TS, the overcharge total time value TW, the production interval time TN and the battery pack charging inspection value TQ through the formula TX=(m2*TK+m4*TW+m5*TN) / 3+m1*TF+m3*TS+m6*TQ; wherein m1, m2, m3, m4, m5 and m6 are preset proportional coefficients, m1>m3>m6>m2>m4>m5>0; and the larger the value of the combined performance initial inspection value TX, the worse the performance of the battery pack is preliminarily;

[0058] The combined performance initial inspection value is numerically compared with the preset combined performance initial inspection threshold. If the combined performance initial inspection value exceeds the preset combined performance initial inspection threshold, indicating that the performance condition of the battery pack is poor preliminarily, a combined performance abnormality signal is generated.

[0059] Furthermore, if the combined performance initial inspection value does not exceed the preset combined performance initial inspection threshold, the attenuation deformation analysis is performed to identify the non-excellent battery in the battery pack, specifically: a number of inspection points are set on the corresponding single battery, the deformation value of the corresponding inspection point is collected, and the deformation value of the corresponding inspection point is numerically compared with the preset deformation threshold. If the deformation value exceeds the preset deformation threshold, it indicates that the deformation of the corresponding inspection point is more serious, and the corresponding inspection point is marked as a dangerous point;

[0060] The number of dangerous points on the corresponding single battery is obtained and the ratio of the number of dangerous points to the total number of detection points is calculated to obtain the dangerous number detection value, and the deformation value of the corresponding dangerous point exceeding the preset deformation threshold is marked as the deformation over-detection value, the deformation over-detection values ​​of all dangerous points are averaged to obtain the deformation over-table value, and the deformation over-detection value with the largest value is marked as the deformation over-amplitude value;

[0061] The battery deformation coefficient XP of the corresponding single battery is obtained by numerically calculating the dangerous number inspection value XL, the deformation over-table value XF and the deformation over-amplitude value XN through the formula XP=up1*XL+(up2*XF+up3*XN) / 2; wherein up1, up2 and up3 are preset proportional coefficients, and up1>up2>up3>0; and the larger the value of the battery deformation coefficient XP, the more serious the deformation condition of the corresponding single battery is in general;

[0062] The actual charge capacity of the corresponding single battery when the battery pack was last fully charged is collected, the standard capacity of the corresponding single battery is subtracted from its actual charge capacity, and the ratio of the difference to the corresponding standard capacity is marked as the power attenuation value; wherein, the larger the value of the power attenuation value is, the more serious the power storage performance of the corresponding single battery is attenuated;

[0063] and comparing the battery deformation coefficient XP and the power attenuation value with the preset battery deformation coefficient threshold and the preset power attenuation threshold. If the battery deformation coefficient XP or the power attenuation value exceeds the preset corresponding threshold, indicating that the battery condition of the corresponding single battery is poor, the corresponding single battery is marked as a non-excellent battery;

[0064] The number of non-excellent batteries in the battery pack is obtained and the ratio thereof to the total number of single cells is calculated to obtain the non-excellent number ratio, and the storage attenuation values ​​of all single cells in the battery pack are averaged to obtain the attenuation performance value, and the battery deformation coefficients of all single cells in the battery pack are averaged to obtain the deformation performance value;

[0065] By formula The combined performance initial inspection value TX, the non-excellent number value LS, the attenuation performance value LR and the deformation performance value LG are numerically calculated to obtain the combined performance evaluation value LP; wherein wq1, wq2, wq3 and wq4 are preset proportional coefficients with values ​​greater than zero, and the larger the value of the combined performance evaluation value LP is, the worse the combined performance of the battery pack is overall;

[0066] The combined performance evaluation value LP is numerically compared with the preset combined performance evaluation threshold. If the combined performance evaluation value exceeds the preset combined performance evaluation threshold, it indicates that the combined performance of the battery pack is generally poor, and a combined performance abnormal signal is generated; if the combined performance evaluation value LP does not exceed the preset combined performance evaluation threshold, it indicates that the combined performance of the battery pack is generally good, and a combined performance normal signal is generated.

[0067] The working principle of the present invention is as follows: when in use, during the charging or discharging process of the new energy vehicle, the charging and discharging balance of the battery pack is detected and analyzed through the charging and discharging balance detection module to generate a qualified balance signal or an abnormal balance signal, which can reasonably analyze and feedback the charging and discharging consistency of the battery pack in the new energy vehicle, and the cooling decision control module analyzes the temperature risk of the battery pack to determine whether the battery pack is in a cooling warning state. When it is determined that the battery pack is in a cooling warning state, the cooling strategy is adjusted to speed up the cooling efficiency of the battery pack, which can reasonably analyze and feedback the temperature risk of the battery pack in the new energy vehicle and realize automatic cooling control, and the hidden danger assessment alarm module evaluates the operating safety hidden dangers of the battery pack in the new energy vehicle during the detection period, and when a high hidden danger signal of the battery pack is generated, the user is reminded to conduct a cause investigation and analysis and make corresponding treatment and improvement measures, thereby reducing the operating risk of the new energy vehicle, and having a high degree of intelligence.

[0068] The above formulas are all dimensionless and numerical calculations. The formula is a formula obtained by collecting a large amount of data and performing software simulation to obtain the most recent real situation. The preset parameters in the formula are set by technicians in this field according to actual conditions. The preferred embodiments of the present invention disclosed above are only used to help explain the present invention. The preferred embodiments do not describe all the details in detail, nor do they limit the invention to only specific implementation methods. Obviously, many modifications and changes can be made according to the contents of this specification. This specification selects and specifically describes these embodiments in order to better explain the principles and practical applications of the present invention, so that technicians in the relevant technical field can understand and use the present invention well. The present invention is only limited by the claims and their full scope and equivalents.

Claims

1. New energy vehicle energy monitoring and abnormal detection reminder system, characterized in that: It includes charging and discharging balance detection module, cooling decision control module, hidden danger assessment alarm module, vehicle reminder terminal and mobile smart terminal; During the charging or discharging process of the new energy vehicle, the charge-discharge balance detection module detects and analyzes the charge-discharge balance of the battery pack, generates a balance qualification signal or a balance abnormality signal through analysis, and sends the balance qualification signal or the balance abnormality signal to the hidden danger assessment alarm module; During the charging or discharging process of the new energy vehicle, the cooling decision control module analyzes the temperature risk of the battery pack, determines whether the battery pack is in a cooling warning state through analysis, adjusts the cooling strategy to speed up the cooling efficiency of the battery pack when it is determined that the battery pack is in a cooling warning state, and sends the judgment information to the hidden danger assessment alarm module when it is determined that the battery pack is in a cooling warning state; The hidden danger assessment alarm module will assess the operational safety hidden dangers of the battery pack in the new energy vehicle during the detection period, generate a battery pack high hidden danger signal or a battery pack low hidden danger signal through analysis, and send the battery pack high hidden danger signal or the battery pack low hidden danger signal to the vehicle reminder terminal and the mobile smart terminal.

2. The new energy vehicle energy monitoring and abnormal detection reminder system according to claim 1 is characterized in that: The specific analysis process of the charge and discharge balance detection module is as follows: The real-time voltage and real-time current of each single battery in the battery pack are obtained, the real-time voltage of all single batteries is calculated by variance to obtain the voltage inconsistency coefficient, the real-time current of all single batteries is calculated by variance to obtain the current inconsistency coefficient, the voltage inconsistency coefficient and the current inconsistency coefficient are numerically compared with the preset voltage inconsistency coefficient threshold and the preset current inconsistency coefficient threshold, respectively, and if the voltage inconsistency coefficient or the current inconsistency coefficient exceeds the corresponding preset threshold, a balance abnormality signal is generated; If the voltage non-uniformity coefficient and the current non-uniformity coefficient do not exceed the corresponding preset threshold value, a balance qualified signal is generated.

3. The new energy vehicle energy monitoring and abnormal detection reminder system according to claim 1 is characterized in that: The analysis and judgment process of the temperature drop warning status is as follows: The real-time temperature and temperature growth rate of the corresponding single cells in the battery pack are collected and marked as the battery temperature condition value and the battery temperature value increment, and the battery temperature condition value and the battery temperature value increment are numerically calculated to obtain the battery temperature measurement value; the battery temperature measurement values ​​of all single cells in the battery pack are averaged to obtain the battery pack temperature detection value, and the number of single cells in the battery pack whose battery temperature measurement values ​​exceed the preset battery temperature measurement threshold is marked as the battery abnormality value, and the battery temperature measurement value with the largest value is marked as the battery temperature amplitude value; The temperature risk value is obtained by numerically calculating the battery pack temperature inspection value, battery abnormality value and battery temperature amplitude value, and the temperature risk value is numerically compared with the preset temperature risk threshold. If the temperature risk value exceeds the preset temperature risk threshold, it is judged that the battery pack is currently in a temperature drop warning state.

4. The new energy vehicle energy monitoring and abnormal detection reminder system according to claim 1 is characterized in that: The analysis process of the hidden danger assessment alarm module includes: The number of times the balance abnormality signal is generated within the detection period is collected and marked as the balance abnormality value, and when it is determined that the battery pack is in the temperature drop warning state, the timing is started to obtain the temperature drop warning duration, and all the temperature drop warning durations within the detection period are summed up to obtain the total temperature drop warning duration value, and the temperature drop warning duration is numerically compared with the preset temperature drop warning duration threshold, and the number of temperature drop warning durations exceeding the preset temperature drop warning duration threshold within the detection period is marked as the temperature drop warning frequency value; The battery pack hidden danger assessment value is obtained by numerically calculating the balanced abnormal condition value, the total temperature drop warning time value and the temperature drop warning dangerous frequency value. The battery pack hidden danger assessment value is numerically compared with the preset battery pack hidden danger assessment threshold. If the battery pack hidden danger assessment value exceeds the preset battery pack hidden danger assessment threshold, a battery pack high hidden danger signal is generated; if the battery pack hidden danger assessment value does not exceed the preset battery pack hidden danger assessment threshold, a battery pack low hidden danger signal is generated.

5. The new energy vehicle energy monitoring and abnormal detection reminder system according to claim 1 is characterized in that: The hidden danger assessment alarm module is communicatively connected to the combined performance analysis module. The hidden danger assessment alarm module sends the battery pack low hidden danger signal to the combined performance analysis module. When the combined performance analysis module receives the battery pack low hidden danger signal, it analyzes the combined performance of the battery pack in the new energy vehicle, generates a combined performance abnormal signal or a combined performance normal signal through the analysis, and sends the combined performance abnormal signal or the combined performance normal signal to the vehicle-mounted reminder terminal and the mobile smart terminal.

6. The new energy vehicle energy monitoring and abnormality detection reminder system according to claim 5 is characterized in that: The specific analysis process of the combined performance analysis module includes: When the amount of electricity stored in the battery pack is lower than a preset power-deficit threshold, the battery pack is judged to be in a power-deficit state. When the battery pack is judged to be in a power-deficit state, timing is started until the amount of electricity exceeds the preset power-deficit threshold again, thereby obtaining a power-deficit duration, comparing the power-deficit duration with the preset power-deficit duration threshold, marking the number of power-deficit durations exceeding the preset power-deficit duration threshold in a historical stage as a power-deficit amplitude detection value, and summing up all power-deficit durations in the historical stage to obtain a total power-deficit duration value; And during the charging process, when the amount of electricity stored in the battery pack reaches a preset upper limit threshold, the timing starts until charging is stopped, and the supercharge duration is obtained based on this, and the supercharge duration is numerically compared with the preset supercharge duration threshold, and the number of supercharge durations exceeding the preset supercharge duration threshold in the historical stage is marked as the supercharge amplitude detection value, and all supercharge durations in the historical stage are summed up and calculated to obtain the total supercharge duration value; The production interval duration of the battery pack in the new energy vehicle is collected, and the total number of charging times of the battery pack in the historical stage is marked as the battery pack charge inspection value. The combined performance initial inspection value is obtained by numerically calculating the low-power amplitude inspection value, the total low-power time value, the overcharge amplitude inspection value, the total overcharge time value, the production interval duration and the battery pack charge inspection value. If the combined performance initial inspection value exceeds the preset combined performance initial inspection threshold, a combined performance abnormality signal is generated.

7. The new energy vehicle energy monitoring and abnormality detection reminder system according to claim 6 is characterized in that: If the combined performance initial inspection value does not exceed the preset combined performance initial inspection threshold, the attenuation deformation analysis is performed to identify the non-superior batteries in the battery pack, the number of non-superior batteries in the battery pack is obtained and the ratio of the non-superior batteries to the total number of single cells is calculated to obtain the non-superior number percentage, and the storage attenuation values ​​of all single cells in the battery pack are averaged to obtain the attenuation performance value, and the battery deformation coefficients of all single cells in the battery pack are averaged to obtain the deformation performance value; The combined performance evaluation value is obtained by numerically calculating the combined performance initial inspection value, the non-excellent number value, the attenuation performance value and the deformation performance value. If the combined performance evaluation value exceeds the preset combined performance evaluation threshold, a combined performance abnormal signal is generated; if the combined performance evaluation value does not exceed the preset combined performance evaluation threshold, a combined performance normal signal is generated.

8. The new energy vehicle energy monitoring and abnormality detection reminder system according to claim 7 is characterized in that: The specific analysis process of attenuation deformation analysis is as follows: A number of detection points are set on the corresponding single battery, and the deformation value of the corresponding detection point is collected. If the deformation value exceeds the preset deformation threshold, the corresponding detection point is marked as a dangerous point; The number of dangerous points on the corresponding single battery is obtained and the ratio thereof is calculated with the total number of detection points to obtain the dangerous number detection value, and the deformation value of the corresponding dangerous point exceeding the preset deformation threshold is marked as the deformation over-detection value, the deformation over-detection values ​​of all dangerous points are averaged to obtain the deformation over-table value, and the deformation over-detection value with the largest value is marked as the deformation over-amplitude value, and the battery deformation coefficient of the corresponding single battery is obtained by numerically calculating the dangerous number detection value, the deformation over-table value and the deformation over-amplitude value; The actual charge capacity of the corresponding single battery when the battery pack was fully charged for the last time is collected, the standard capacity of the corresponding single battery is subtracted from its actual charge capacity, and the ratio of the difference calculation to the corresponding standard capacity is marked as the capacity attenuation value; if the battery deformation coefficient or the capacity attenuation value exceeds the preset corresponding threshold value, the corresponding single battery is marked as a non-excellent battery.

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