Commercial vehicle storage battery charging failure early warning method, device and equipment and storage medium

Abstract

The invention discloses a commercial vehicle storage battery charging failure early warning method, device and equipment and a storage medium. The method comprises the following steps: acquiring a storage battery voltage signal and a vehicle running state signal of a lead-acid storage battery of a target batch vehicle in a full life cycle in real time; calculating an accumulated voltage drop of the lead-acid storage battery in the full life cycle according to the storage battery voltage signal and the operation state signal; according to the accumulated voltage drop and the voltage drop early warning threshold value, storage battery charging failure early warning is carried out, the storage battery charging failure fault can be early warned in advance, the situation that a vehicle cannot be started due to storage battery damage is avoided, the economic benefits of customers are guaranteed, the reliability and safety of the vehicle are improved, the storage battery data sampling precision is guaranteed, and the service life of the vehicle is prolonged. The storage battery health monitoring cost is reduced, and the charging failure early warning speed and efficiency of the commercial vehicle storage battery are improved.

Description

Technical Field

[0001] The present invention relates to the technical field of electric vehicles, and in particular to a method, device, equipment and storage medium for warning charging failure of a commercial vehicle battery. Background Art

[0002] Early warning of charging failure of automotive starting lead-acid batteries is an important predictive maintenance technology to ensure reliable vehicle operation. It can effectively prevent the vehicle from being unable to start due to battery damage, which in turn directly affects the customer's economic benefits as well as the reliability and safety of the vehicle.

[0003] Currently, the industry's monitoring of lead-acid battery charging failure mostly relies on intelligent battery sensors, which monitor the battery's charging performance during the charging process and provide early warning of battery failure. This has the problem of high cost. The academic community has also established a remaining service life prediction model based on the voltage, current and battery internal resistance signals during the battery's operation, taking into account the access status of commercial vehicle network data in the market. However, this research is still in the academic trial stage and is far from commercial application.

[0004] Using big data analysis methods to establish an evaluation mechanism for the health status of batteries based on their usage throughout their life cycle is currently a cutting-edge research area in the industry.

[0005] The disadvantages of the existing technology are: the use of intelligent battery sensors to monitor the health status of batteries online in real time has the problem of high installation costs, and the use of sensor signal analysis based on monitoring the battery charging and discharging process to evaluate the health status of batteries has the problems of fewer vehicle sensor signals, insufficient data volume and large model calculation errors, making its online monitoring efficiency low. At the same time, the low sampling frequency and low data accuracy of networked data will also lead to large warning errors and inaccurate monitoring in the calculation model based on electrochemical principles. Summary of the Invention

[0006] The main purpose of the present invention is to provide a commercial vehicle battery charging failure warning method, device, equipment and storage medium, aiming to solve the technical problems of monitoring battery health status in the existing technology, such as high installation cost, low online monitoring efficiency and accuracy, and large warning error.

[0007] In a first aspect, the present invention provides a method for warning of battery charging failure in a commercial vehicle, the method comprising the following steps: Real-time collection of battery voltage signals and vehicle operating status signals of lead-acid batteries of target batch vehicles throughout their life cycle; Calculating the cumulative voltage drop of the lead-acid battery over the entire life cycle according to the battery voltage signal and the operating status signal; A battery charging failure warning is performed based on the accumulated voltage drop and the voltage drop warning threshold.

[0008] Optionally, the real-time acquisition of battery voltage signals and vehicle operating status signals of lead-acid batteries of target batch vehicles throughout their life cycle includes: The target batch of vehicles shall be those equipped with the same type of lead-acid batteries and the same power supply system configuration; Real-time collection of battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles under different operating conditions throughout their life cycle.

[0009] Optionally, calculating the cumulative voltage drop of the lead-acid battery over the entire life cycle according to the battery voltage signal and the operating status signal includes: Calculating a static voltage drop of the lead-acid battery in each static state during the entire life cycle according to the battery voltage signal and the operating status signal; The static voltage drop is cumulatively calculated to obtain a cumulative voltage drop.

[0010] Optionally, the calculating, according to the battery voltage signal and the operating status signal, the static voltage drop of the lead-acid battery in each static state during the entire life cycle includes: Selecting, from the battery voltage signal according to the operating status signal, a signal segment of the lead-acid battery supplying power to the entire vehicle of the target batch of vehicles when the vehicle is stationary; Filtering the vehicle power supply signal segment to obtain a voltage drop signal segment; The static voltage drop of the lead-acid battery in each static state during the entire life cycle is calculated according to the voltage drop signal segment.

[0011] Optionally, filtering the vehicle power supply signal segment to obtain a voltage drop signal segment includes: Abnormal voltage signals in the vehicle power supply signal segment are filtered out, and a voltage drop signal segment representing external power supply by the lead-acid battery is screened out from the filtered vehicle power supply signal segment.

[0012] Optionally, the performing battery charging failure warning according to the cumulative voltage drop and the voltage drop warning threshold includes: Obtaining a voltage drop warning threshold value for a target batch of vehicles corresponding to the cumulative voltage drop; The accumulated voltage drop is compared with the voltage drop warning threshold, and when the accumulated voltage drop exceeds the voltage drop warning threshold, a battery charging failure warning is issued.

[0013] Optionally, obtaining a voltage drop warning threshold value of a target batch of vehicles corresponding to the cumulative voltage drop includes: Performing a normal distribution analysis on the cumulative voltage drop to obtain the mean and standard deviation of the cumulative voltage drop of the target batch of vehicles over their entire life cycle; The mean value is used as the equivalent life characteristic value of the lead-acid battery, and the voltage drop warning threshold corresponding to the target batch of vehicles is determined according to the standard deviation and the equivalent life characteristic value.

[0014] In a second aspect, to achieve the above-mentioned purpose, the present invention further provides a commercial vehicle battery charging failure warning device, the commercial vehicle battery charging failure warning device comprising: Signal acquisition module, used to collect battery voltage signals and vehicle operating status signals of lead-acid batteries of target batch vehicles in real time throughout their life cycle; a voltage drop calculation module, configured to calculate the cumulative voltage drop of the lead-acid battery over the entire life cycle according to the battery voltage signal and the operating status signal; The early warning module is used to issue an early warning of battery charging failure based on the accumulated voltage drop and the voltage drop early warning threshold.

[0015] In a third aspect, to achieve the above-mentioned purpose, the present invention also proposes a commercial vehicle battery charging failure warning device, which includes: a memory, a processor, and a commercial vehicle battery charging failure warning program stored in the memory and executable on the processor, wherein the commercial vehicle battery charging failure warning program is configured to implement the steps of the commercial vehicle battery charging failure warning method described above.

[0016] In a fourth aspect, in order to achieve the above-mentioned purpose, the present invention also proposes a storage medium, on which a commercial vehicle battery charging failure warning program is stored. When the commercial vehicle battery charging failure warning program is executed by a processor, the steps of the commercial vehicle battery charging failure warning method described above are implemented.

[0017] The commercial vehicle battery charging failure warning method proposed in the present invention collects battery voltage signals and vehicle operating status signals of lead-acid batteries of target batch vehicles in real time throughout their life cycle; calculates the cumulative voltage drop of the lead-acid batteries during the entire life cycle based on the battery voltage signals and the operating status signals; and performs battery charging failure warning based on the cumulative voltage drop and the voltage drop warning threshold. This method can provide early warning of battery charging failure faults, avoid vehicle startup failure caused by battery damage, protect customers' economic benefits, improve vehicle reliability and safety, ensure battery data sampling accuracy, reduce battery health monitoring costs, and improve the speed and efficiency of commercial vehicle battery charging failure warnings. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 A schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention; Figure 2 This is a flow chart of a first embodiment of a method for early warning of battery charging failure in commercial vehicles according to the present invention; Figure 3 This is a flow chart of a second embodiment of a method for early warning of battery charging failure in a commercial vehicle according to the present invention; Figure 4 This is a flow chart for collecting vehicle battery voltage and operating signals in the commercial vehicle battery charging failure warning method of the present invention; Figure 5 This is a flow chart of a third embodiment of a method for early warning of battery charging failure in a commercial vehicle according to the present invention; Figure 6 This is a schematic diagram of the battery voltage signal when the vehicle is stationary in the commercial vehicle battery charging failure warning method of the present invention; Figure 7 This is a flow chart of a fourth embodiment of a method for early warning of battery charging failure in a commercial vehicle according to the present invention; Figure 8 Schematic diagram of the normal distribution probability of the cumulative voltage drop in the commercial vehicle battery charging failure warning method of the present invention; Figure 9 This is a schematic diagram of the early warning process in the commercial vehicle battery charging failure early warning method of the present invention; Figure 10 This is a functional module diagram of the first embodiment of the commercial vehicle battery charging failure warning device of the present invention.

[0019] The purpose, features and advantages of the present invention will be further described with reference to the accompanying drawings and in conjunction with the embodiments. DETAILED DESCRIPTION

[0020] It should be understood that the specific embodiments described herein are only used to explain the present invention and are not intended to limit the present invention.

[0021] The solution of the embodiment of the present invention is mainly: through real-time collection of battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles throughout their life cycle; calculating the cumulative voltage drop of the lead-acid battery during the entire life cycle based on the battery voltage signal and the operating status signal; and performing battery charging failure warning based on the cumulative voltage drop and the voltage drop warning threshold, which can provide early warning of battery charging failure failure, avoid the vehicle from being unable to start due to battery damage, protect the economic benefits of customers, improve the reliability and safety of the vehicle, ensure the accuracy of battery data sampling, reduce the cost of battery health monitoring, and improve the speed and efficiency of commercial vehicle battery charging failure warning, thereby solving the technical problems of high installation cost, low online monitoring efficiency and accuracy, and large warning error in monitoring battery health status in the existing technology.

[0022] Reference Figure 1 , Figure 1 This is a schematic diagram of the device structure of the hardware operating environment involved in the embodiment of the present invention.

[0023] like Figure 1 As shown, the device may include: a processor 1001, such as a CPU, a communication bus 1002, a user interface 1003, a network interface 1004, and a memory 1005. The communication bus 1002 is used to implement communication between these components. The user interface 1003 may include a display and an input unit such as a keyboard. Optionally, the user interface 1003 may also include a standard wired interface or a wireless interface. The network interface 1004 may optionally include a standard wired interface or a wireless interface (such as a Wi-Fi interface). The memory 1005 may be a high-speed RAM memory or a non-volatile memory, such as a disk storage. The memory 1005 may also be a storage device independent of the processor 1001.

[0024] Those skilled in the art will understand that Figure 1 The device structure shown in the figure does not constitute a limitation of the device, and may include more or fewer components than shown in the figure, or combine certain components, or arrange the components differently.

[0025] like Figure 1 As shown, the memory 1005 as a storage medium may include an operating device, a network communication module, a user interface module, and a commercial vehicle battery charging failure warning program.

[0026] The device of the present invention calls the commercial vehicle battery charging failure warning program stored in the memory 1005 through the processor 1001 and performs the following operations: Real-time collection of battery voltage signals and vehicle operating status signals of lead-acid batteries of target batch vehicles throughout their life cycle; Calculating the cumulative voltage drop of the lead-acid battery over the entire life cycle according to the battery voltage signal and the operating status signal; A battery charging failure warning is performed based on the accumulated voltage drop and the voltage drop warning threshold.

[0027] The device of the present invention calls the commercial vehicle battery charging failure warning program stored in the memory 1005 through the processor 1001, and further performs the following operations: The target batch of vehicles shall be those equipped with the same type of lead-acid batteries and the same power supply system configuration; Real-time collection of battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles under different operating conditions throughout their life cycle.

[0028] The device of the present invention calls the commercial vehicle battery charging failure warning program stored in the memory 1005 through the processor 1001, and further performs the following operations: Calculating a static voltage drop of the lead-acid battery in each static state during the entire life cycle according to the battery voltage signal and the operating status signal; The static voltage drop is cumulatively calculated to obtain a cumulative voltage drop.

[0029] The device of the present invention calls the commercial vehicle battery charging failure warning program stored in the memory 1005 through the processor 1001, and further performs the following operations: Selecting, from the battery voltage signal according to the operating status signal, a signal segment of the lead-acid battery supplying power to the entire vehicle of the target batch of vehicles when the vehicle is stationary; Filtering the vehicle power supply signal segment to obtain a voltage drop signal segment; The static voltage drop of the lead-acid battery in each static state during the entire life cycle is calculated according to the voltage drop signal segment.

[0030] The device of the present invention calls the commercial vehicle battery charging failure warning program stored in the memory 1005 through the processor 1001, and further performs the following operations: Abnormal voltage signals in the vehicle power supply signal segment are filtered out, and a voltage drop signal segment representing external power supply by the lead-acid battery is screened out from the filtered vehicle power supply signal segment.

[0031] The device of the present invention calls the commercial vehicle battery charging failure warning program stored in the memory 1005 through the processor 1001, and further performs the following operations: Obtaining a voltage drop warning threshold value for a target batch of vehicles corresponding to the cumulative voltage drop; The accumulated voltage drop is compared with the voltage drop warning threshold, and when the accumulated voltage drop exceeds the voltage drop warning threshold, a battery charging failure warning is issued.

[0032] The device of the present invention calls the commercial vehicle battery charging failure warning program stored in the memory 1005 through the processor 1001, and further performs the following operations: Performing a normal distribution analysis on the cumulative voltage drop to obtain the mean and standard deviation of the cumulative voltage drop of the target batch of vehicles over their entire life cycle; The mean value is used as the equivalent life characteristic value of the lead-acid battery, and the voltage drop warning threshold corresponding to the target batch of vehicles is determined according to the standard deviation and the equivalent life characteristic value.

[0033] Through the above scheme, this embodiment collects the battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles in real time throughout their life cycle; calculates the cumulative voltage drop of the lead-acid batteries during the entire life cycle based on the battery voltage signals and the operating status signals; and performs a battery charging failure warning based on the cumulative voltage drop and the voltage drop warning threshold. This can provide an early warning of battery charging failure faults, avoid the inability to start the vehicle due to battery damage, protect the economic benefits of customers, improve the reliability and safety of the vehicle, ensure the accuracy of battery data sampling, reduce the cost of battery health monitoring, and improve the speed and efficiency of battery charging failure warnings for commercial vehicles.

[0034] Based on the above hardware structure, an embodiment of a commercial vehicle battery charging failure warning method of the present invention is proposed.

[0035] Reference Figure 2 , Figure 2 This is a flow chart of the first embodiment of the commercial vehicle battery charging failure warning method of the present invention.

[0036] In a first embodiment, the commercial vehicle battery charging failure warning method includes the following steps: Step S10: collecting battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles in real time throughout their entire life cycle.

[0037] It should be noted that the target batch of vehicles is a batch of vehicles corresponding to the current model of lead-acid batteries and the same power supply system configuration. Through real-time collection, the battery voltage signal and vehicle operation status signal of the lead-acid batteries of the target batch of vehicles throughout their life cycle can be obtained.

[0038] In specific implementation, the battery voltage signal and vehicle operating status of the vehicle's lead-acid battery throughout its life cycle can be collected in real time through the Internet of Vehicles platform. Generally, the corresponding signals are collected through multiple sensors. The battery voltage signal includes the battery voltage, and the vehicle operating status signal includes the engine speed, vehicle speed and sampling time.

[0039] Step S20: Calculate the cumulative voltage drop of the lead-acid battery during the entire life cycle according to the battery voltage signal and the operating status signal.

[0040] It should be understood that the cumulative voltage drop of the lead-acid battery during the entire life cycle can be calculated based on the battery voltage signal and the operating status signal.

[0041] Step S30: issuing a battery charging failure warning based on the accumulated voltage drop and the voltage drop warning threshold.

[0042] It is understandable that whether to issue a battery charging failure warning may be determined based on the comparison result between the cumulative voltage drop and the voltage drop warning threshold.

[0043] Through the above scheme, this embodiment collects the battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles in real time throughout their life cycle; calculates the cumulative voltage drop of the lead-acid batteries during the entire life cycle based on the battery voltage signals and the operating status signals; and performs a battery charging failure warning based on the cumulative voltage drop and the voltage drop warning threshold. This can provide an early warning of battery charging failure faults, avoid the inability to start the vehicle due to battery damage, protect the economic benefits of customers, improve the reliability and safety of the vehicle, ensure the accuracy of battery data sampling, reduce the cost of battery health monitoring, and improve the speed and efficiency of battery charging failure warnings for commercial vehicles.

[0044] Furthermore, Figure 3 This is a flow chart of the second embodiment of the commercial vehicle battery charging failure warning method of the present invention. Figure 3 As shown, a second embodiment of the commercial vehicle battery charging failure warning method of the present invention is proposed based on the first embodiment. In this embodiment, step S10 specifically includes the following steps: Step S11: A batch of vehicles equipped with the same type of lead-acid batteries and the same power supply system configuration is used as a target batch of vehicles.

[0045] It should be noted that batches of vehicles equipped with the same model of lead-acid batteries and the same power supply system configuration can be used as target batches of vehicles.

[0046] Step S12: collecting, in real time, battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles under different operating states throughout their life cycle.

[0047] It is understandable that the vehicle networking platform can collect in real time the battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles under different operating conditions throughout their life cycle.

[0048] In the specific implementation, see Figure 4 , Figure 4 This is a flow chart of the vehicle battery voltage and operation signal acquisition in the commercial vehicle battery charging failure warning method of the present invention, as shown in FIG. Figure 4 As shown in the figure, 500 vehicles equipped with a certain brand of 200Ah lead-acid batteries and the same electrical equipment such as generators, inverters and line systems were selected. The vehicle networking platform collected the battery voltage signal changes under different vehicle operating conditions throughout the life cycle of the lead-acid battery and used it as the monitoring sensor signal throughout the battery's life cycle.

[0049] Through the above scheme, this embodiment uses a batch of vehicles equipped with the same type of lead-acid batteries and the same power supply system configuration as the target batch of vehicles; and collects the battery voltage signals and vehicle operation status signals of the lead-acid batteries of the target batch of vehicles in different vehicle operation states throughout the entire life cycle in real time, thereby ensuring the accuracy of battery data sampling and improving the speed and efficiency of commercial vehicle battery charging failure warning.

[0050] Furthermore, Figure 5 This is a flow chart of the third embodiment of the commercial vehicle battery charging failure warning method of the present invention. Figure 5 As shown, a third embodiment of the commercial vehicle battery charging failure warning method of the present invention is proposed based on the first embodiment. In this embodiment, step S20 specifically includes the following steps: Step S21: Calculate the static voltage drop of the lead-acid battery in each static state during the entire life cycle according to the battery voltage signal and the operating status signal.

[0051] It should be noted that, the static voltage drop of the lead-acid battery in each static state during the entire life cycle can be calculated based on the battery voltage signal and the operating status signal.

[0052] Furthermore, the step S21 specifically includes the following steps: Selecting, from the battery voltage signal according to the operating status signal, a signal segment of the lead-acid battery supplying power to the entire vehicle of the target batch of vehicles when the vehicle is stationary; Filtering the vehicle power supply signal segment to obtain a voltage drop signal segment; The static voltage drop of the lead-acid battery in each static state during the entire life cycle is calculated according to the voltage drop signal segment.

[0053] In the specific implementation, see Figure 6 , Figure 6 Schematic diagram of battery voltage signal when the vehicle is stationary in the commercial vehicle battery charging failure warning method of the present invention. Figure 6 As shown, by using signal screening and filtering algorithms, the voltage drop of the battery in each static state during its entire life cycle can be calculated, and the cumulative voltage drop of the battery in its entire life cycle can be accumulated to characterize the total external power supply of the lead-acid battery in the entire life cycle of the vehicle; the Internet of Vehicles collects the voltage drop signal performance of the vehicle in the static state, and can calculate that the voltage drop of the battery in the static state is 0.5V.

[0054] Furthermore, the step of filtering the vehicle power supply signal segment to obtain a voltage drop signal segment specifically includes the following steps: Abnormal voltage signals in the vehicle power supply signal segment are filtered out, and a voltage drop signal segment representing external power supply by the lead-acid battery is screened out from the filtered vehicle power supply signal segment.

[0055] It can be understood that by selecting the engine speed as 0, the signal segment of the lead-acid battery supplying power to the whole vehicle when the vehicle is stationary is selected, and the abnormal voltage signal is filtered out, the voltage drop signal segment representing the battery's external power supply is screened out, and the battery voltage drop is calculated to represent the external power supply of the battery in the current stationary state; in the calculation of the cumulative battery voltage drop, the voltage signal fast power drop and signal distortion segments caused by abnormalities such as battery deficiency and weak current should be filtered out, and the battery voltage drop in a stable power supply state should be screened out. The Internet of Vehicles platform collects the voltage signal and operating status signal of the vehicle battery throughout its life cycle, calculates the cumulative voltage drop of the battery throughout its life cycle, reflects the external power supply of the battery throughout its life cycle, and uses it as a characteristic quantity to represent the battery life.

[0056] Step S22: cumulatively calculating the static voltage drop to obtain a cumulative voltage drop.

[0057] It can be understood that after the static voltage drop is obtained, the cumulative voltage drop can be obtained through cumulative calculation.

[0058] In the specific implementation, by considering that the lead-acid battery and generator of a commercial vehicle are in a parallel relationship, the collected battery voltage signal reflects the generator output voltage when the engine is running, and the terminal voltage signal of the lead-acid battery when the vehicle is stationary. Considering that the battery voltage signal changes from the generator output voltage to the battery terminal voltage when the vehicle goes from running state to the off state, the voltage signal at this time selects the voltage value after the vehicle has been stationary for more than 15 minutes as the stable voltage value at the beginning of the battery stationary state.

[0059] Through the above-mentioned solution, this embodiment determines whether the current approval operation is compliant through private key signature after receiving the reimbursement application; when the current approval operation is compliant, the reimbursement application is reviewed and the review results are recorded on the blockchain, which can realize the automation, transparency and efficiency of the expense reimbursement process, improve the transparency of the reimbursement process, and reduce the operating costs of the enterprise.

[0060] Furthermore, Figure 7 This is a flow chart of the fourth embodiment of the commercial vehicle battery charging failure warning method of the present invention. Figure 7 As shown, a fourth embodiment of the commercial vehicle battery charging failure warning method of the present invention is proposed based on the first embodiment. In this embodiment, step S30 specifically includes the following steps: Step S31: Obtain the voltage drop warning threshold value of the target batch of vehicles corresponding to the cumulative voltage drop.

[0061] It should be noted that different batches of vehicles correspond to different voltage drop warning thresholds. After obtaining the voltage drop warning threshold corresponding to the target batch of vehicles based on the cumulative voltage drop, a voltage drop comparison can be performed.

[0062] Furthermore, the step S31 specifically includes the following steps: Performing a normal distribution analysis on the cumulative voltage drop to obtain the mean and standard deviation of the cumulative voltage drop of the target batch of vehicles over their entire life cycle; The mean value is used as the equivalent life characteristic value of the lead-acid battery, and the voltage drop warning threshold corresponding to the target batch of vehicles is determined according to the standard deviation and the equivalent life characteristic value.

[0063] It should be understood that the cumulative voltage drop of the selected batches of vehicles over their entire life cycle is calculated separately, and normal distribution analysis is used to determine the life characteristic distribution of batteries of vehicles equipped with this type of lead-acid battery and with the same configuration, and the mean cumulative voltage drop of the batteries of this batch of vehicles is calculated to reflect the service life of the batteries; in actual operation, the standard deviation can also be combined with the mean to form a "dynamic warning interval" rather than a single fixed threshold. The dynamic warning interval can adapt to the discrete characteristics of batteries in different batches and different usage scenarios, thereby avoiding false alarms or omissions caused by a single threshold, and this embodiment does not limit this.

[0064] In the specific implementation, see Figure 8 , Figure 8 Schematic diagram of the normal distribution probability of the cumulative voltage drop in the commercial vehicle battery charging failure warning method of the present invention, as shown in FIG. Figure 8 As shown, Figure 8 It is a normal distribution probability diagram of 500 collected cumulative voltage drops, which are equipped with 110A generators and 1000W inverters. The cumulative voltage drops of these 500 vehicles equipped with lead-acid batteries during the entire life cycle are calculated to characterize the service life characteristics of lead-acid batteries. The normal distribution analysis method is used to calculate the mean and standard deviation of the cumulative voltage drops of this batch of vehicles throughout the entire life cycle. The mean is selected as the equivalent life characteristic value of this configuration vehicle model equipped with this type of lead-acid battery. The mean of the cumulative voltage drop distribution is calculated to be 108V and the standard deviation is 45V. The warning threshold of the cumulative voltage drop is selected as 108V.

[0065] Step S32: Compare the accumulated voltage drop with the voltage drop warning threshold, and issue a battery charging failure warning when the accumulated voltage drop exceeds the voltage drop warning threshold.

[0066] It is understandable that the corresponding comparison result is generated after comparing the cumulative voltage drop with the voltage drop warning threshold, and when the cumulative voltage drop exceeds the voltage drop warning threshold, a battery charging failure warning is issued.

[0067] It should be noted that by real-time monitoring of the signal characteristics of lead-acid batteries of this model and batteries of vehicles with the same configuration, and calculating the cumulative voltage drop from the time the battery was newly installed to the present, when it is near the mean value of the cumulative voltage drop calculated by normal distribution analysis, an early warning of battery charging failure is given.

[0068] It should be understood that by monitoring the battery voltage signal of the lead-acid battery throughout its life cycle as it changes with the operating status signal and collecting data samples, and calculating the cumulative discharge amount of the battery throughout its life cycle to characterize the battery's service life, and using normal distribution analysis to determine the cumulative discharge amount threshold for battery charging failure, early warning of battery charging failure can be achieved.

[0069] In the specific implementation, see Figure 9 , Figure 9 This is a schematic diagram of the warning process in the commercial vehicle battery charging failure warning method of the present invention, as shown in FIG. Figure 9 As shown, for vehicles in operation on the market that are equipped with this type of lead-acid battery and have the same configuration, the Internet of Vehicles platform collects the battery voltage signal and operating status signal of the vehicle from the time the battery was newly installed to the present, calculates the cumulative voltage drop to date, and compares it with the cumulative voltage drop threshold obtained by normal distribution analysis to provide early warning of battery charging failure.

[0070] This embodiment adopts the above scheme to obtain the voltage drop warning threshold value of the target batch of vehicles corresponding to the cumulative voltage drop; compare the cumulative voltage drop with the voltage drop warning threshold value, and perform a battery charging failure warning when the cumulative voltage drop exceeds the voltage drop warning threshold value; it can provide an early warning of battery charging failure failure, avoid the vehicle from being unable to start due to battery damage, protect the economic benefits of customers, improve the reliability and safety of the vehicle, ensure the accuracy of battery data sampling, reduce the cost of battery health monitoring, and improve the speed and efficiency of commercial vehicle battery charging failure warning.

[0071] Accordingly, the present invention further provides a commercial vehicle battery charging failure warning device.

[0072] Reference Figure 10 , Figure 10 This is a functional module diagram of the first embodiment of the commercial vehicle battery charging failure warning device of the present invention.

[0073] In a first embodiment of the commercial vehicle battery charging failure warning device of the present invention, the commercial vehicle battery charging failure warning device includes: The signal acquisition module 10 is used to collect the battery voltage signals and vehicle operation status signals of the lead-acid batteries of the target batch of vehicles in real time throughout their entire life cycle.

[0074] The voltage drop calculation module 20 is configured to calculate the cumulative voltage drop of the lead-acid battery during the entire life cycle according to the battery voltage signal and the operating status signal.

[0075] The early warning module 30 is configured to provide an early warning of battery charging failure based on the accumulated voltage drop and the voltage drop early warning threshold.

[0076] The signal acquisition module 10 is also used to take a batch of vehicles equipped with the same type of lead-acid batteries and the same power supply system configuration as a target batch of vehicles; and to collect in real time the battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles under different operating conditions throughout their life cycle.

[0077] The voltage drop calculation module 20 is further configured to calculate the static voltage drop of the lead-acid battery in each static state during the entire life cycle based on the battery voltage signal and the operating status signal; and cumulatively calculate the static voltage drop to obtain a cumulative voltage drop.

[0078] The voltage drop calculation module 20 is further used to select, from the battery voltage signal, the signal segments of the lead-acid battery supplying power to the entire vehicle of the target batch of vehicles when the vehicle is at rest, based on the operating status signal; filter and screen the signal segments of the entire vehicle power supply signal to obtain voltage drop signal segments; and calculate, based on the voltage drop signal segments, the static voltage drop of the lead-acid battery in each static state during its entire life cycle.

[0079] The voltage drop calculation module 20 is further configured to filter out abnormal voltage signals in the vehicle power supply signal segment, and select a voltage drop signal segment representing the external power supply of the lead-acid battery from the filtered vehicle power supply signal segment.

[0080] The warning module 30 is further configured to obtain a voltage drop warning threshold value for the target batch of vehicles corresponding to the cumulative voltage drop; compare the cumulative voltage drop with the voltage drop warning threshold value; and issue a battery charging failure warning when the cumulative voltage drop exceeds the voltage drop warning threshold value.

[0081] The warning module 30 is further used to perform a normal distribution analysis on the cumulative voltage drop to obtain the mean and standard deviation of the cumulative voltage drop of the target batch of vehicles over their entire life cycle; the mean is used as the equivalent life characteristic value of the lead-acid battery, and the voltage drop warning threshold corresponding to the target batch of vehicles is determined based on the standard deviation and the equivalent life characteristic value.

[0082] Among them, the steps implemented by each functional module of the commercial vehicle battery charging failure warning device can refer to the various embodiments of the commercial vehicle battery charging failure warning method of the present invention, and will not be repeated here.

[0083] In addition, an embodiment of the present invention further provides a storage medium, on which a commercial vehicle battery charging failure warning program is stored. When the commercial vehicle battery charging failure warning program is executed by a processor, the following operations are implemented: Real-time collection of battery voltage signals and vehicle operating status signals of lead-acid batteries of target batch vehicles throughout their life cycle; Calculating the cumulative voltage drop of the lead-acid battery over the entire life cycle according to the battery voltage signal and the operating status signal; A battery charging failure warning is performed based on the accumulated voltage drop and the voltage drop warning threshold.

[0084] Furthermore, when the commercial vehicle battery charging failure warning program is executed by the processor, the following operations are also implemented: The target batch of vehicles shall be those equipped with the same type of lead-acid batteries and the same power supply system configuration; Real-time collection of battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles under different operating conditions throughout their life cycle.

[0085] Furthermore, when the commercial vehicle battery charging failure warning program is executed by the processor, the following operations are also implemented: Calculating a static voltage drop of the lead-acid battery in each static state during the entire life cycle according to the battery voltage signal and the operating status signal; The static voltage drop is cumulatively calculated to obtain a cumulative voltage drop.

[0086] Furthermore, when the commercial vehicle battery charging failure warning program is executed by the processor, the following operations are also implemented: Selecting, from the battery voltage signal according to the operating status signal, a signal segment of the lead-acid battery supplying power to the entire vehicle of the target batch of vehicles when the vehicle is in a stationary state; Filtering the vehicle power supply signal segment to obtain a voltage drop signal segment; The static voltage drop of the lead-acid battery in each static state during the entire life cycle is calculated according to the voltage drop signal segment.

[0087] Furthermore, when the commercial vehicle battery charging failure warning program is executed by the processor, the following operations are also implemented: Abnormal voltage signals in the vehicle power supply signal segment are filtered out, and a voltage drop signal segment representing external power supply by the lead-acid battery is screened out from the filtered vehicle power supply signal segment.

[0088] Furthermore, when the commercial vehicle battery charging failure warning program is executed by the processor, the following operations are also implemented: Obtaining a voltage drop warning threshold value for a target batch of vehicles corresponding to the cumulative voltage drop; The accumulated voltage drop is compared with the voltage drop warning threshold, and when the accumulated voltage drop exceeds the voltage drop warning threshold, a battery charging failure warning is issued.

[0089] Furthermore, when the commercial vehicle battery charging failure warning program is executed by the processor, the following operations are also implemented: Performing a normal distribution analysis on the cumulative voltage drop to obtain the mean and standard deviation of the cumulative voltage drop of the target batch of vehicles over their entire life cycle; The mean value is used as the equivalent life characteristic value of the lead-acid battery, and the voltage drop warning threshold corresponding to the target batch of vehicles is determined according to the standard deviation and the equivalent life characteristic value.

[0090] Those skilled in the art will understand that all or part of the steps in the above-mentioned implementation methods can be implemented by instructing related hardware through a program. The program is stored in a storage medium and includes a number of instructions for enabling a device (which may be a single-chip microcomputer, chip, etc.) or a processor to execute all or part of the steps of the method described in each embodiment of the present application; and the aforementioned storage medium is a computer-readable storage medium, including: U disk, mobile hard disk, read-only memory (ROM, Read-Only Memory), random access memory (RAM, Random Access Memory), disk or optical disk, and other media that can store program codes.

[0091] It should be noted that, in this document, the terms "comprises," "includes," or any other variations thereof are intended to encompass non-exclusive inclusion, such that a process, method, article, or apparatus comprising a series of elements includes not only those elements but also other elements not explicitly listed, or elements inherent to such process, method, article, or apparatus. In the absence of further limitations, an element defined by the phrase "comprising a ..." does not exclude the presence of other identical elements in the process, method, article, or apparatus comprising the element.

[0092] The serial numbers of the above embodiments of the present invention are for description only and do not represent the advantages or disadvantages of the embodiments.

[0093] The above are only preferred embodiments of the present invention and are not intended to limit the patent scope of the present invention. Any equivalent structure or equivalent process transformation made using the contents of the present invention description and drawings, or directly or indirectly applied in other related technical fields, are also included in the patent protection scope of the present invention.

Claims

1. A commercial vehicle battery charging failure warning method, characterized in that: The commercial vehicle battery charging failure warning method includes: Real-time collection of battery voltage signals and vehicle operating status signals of lead-acid batteries of target batch vehicles throughout their life cycle; Calculating the cumulative voltage drop of the lead-acid battery over the entire life cycle according to the battery voltage signal and the operating status signal; A battery charging failure warning is performed based on the accumulated voltage drop and the voltage drop warning threshold.

2. The commercial vehicle battery charging failure warning method according to claim 1, characterized in that: The real-time collection of battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles throughout their life cycle includes: The target batch of vehicles shall be those equipped with the same type of lead-acid batteries and the same power supply system configuration; Real-time collection of battery voltage signals and vehicle operating status signals of the lead-acid batteries of the target batch of vehicles under different operating conditions throughout their life cycle.

3. The commercial vehicle battery charging failure warning method according to claim 1, characterized in that: The calculating the cumulative voltage drop of the lead-acid battery during the entire life cycle according to the battery voltage signal and the operating status signal includes: Calculating a static voltage drop of the lead-acid battery in each static state during the entire life cycle according to the battery voltage signal and the operating status signal; The static voltage drop is cumulatively calculated to obtain a cumulative voltage drop.

4. The commercial vehicle battery charging failure warning method according to claim 3, characterized in that: The calculating, according to the battery voltage signal and the operating status signal, the static voltage drop of the lead-acid battery in each static state during the entire life cycle includes: Selecting, from the battery voltage signal according to the operating status signal, a signal segment of the lead-acid battery supplying power to the entire vehicle of the target batch of vehicles when the vehicle is stationary; Filtering the vehicle power supply signal segment to obtain a voltage drop signal segment; The static voltage drop of the lead-acid battery in each static state during the entire life cycle is calculated according to the voltage drop signal segment.

5. The commercial vehicle battery charging failure warning method according to claim 4, characterized in that: The filtering and screening of the vehicle power supply signal segments to obtain voltage drop signal segments includes: Abnormal voltage signals in the vehicle power supply signal segment are filtered out, and a voltage drop signal segment representing external power supply by the lead-acid battery is screened out from the filtered vehicle power supply signal segment.

6. The commercial vehicle battery charging failure warning method according to claim 1, characterized in that: The step of providing a battery charging failure warning based on the accumulated voltage drop and the voltage drop warning threshold comprises: Obtaining a voltage drop warning threshold value for a target batch of vehicles corresponding to the cumulative voltage drop; The accumulated voltage drop is compared with the voltage drop warning threshold, and when the accumulated voltage drop exceeds the voltage drop warning threshold, a battery charging failure warning is issued.

7. The commercial vehicle battery charging failure warning method according to claim 6, characterized in that: The obtaining of the voltage drop warning threshold value of the target batch of vehicles corresponding to the cumulative voltage drop includes: Performing a normal distribution analysis on the cumulative voltage drop to obtain the mean and standard deviation of the cumulative voltage drop of the target batch of vehicles over their entire life cycle; The mean value is used as the equivalent life characteristic value of the lead-acid battery, and the voltage drop warning threshold corresponding to the target batch of vehicles is determined according to the standard deviation and the equivalent life characteristic value.

8. A commercial vehicle battery charging failure warning device, characterized in that: The commercial vehicle battery charging failure warning device includes: Signal acquisition module, used to collect battery voltage signals and vehicle operating status signals of lead-acid batteries of target batch vehicles in real time throughout their life cycle; a voltage drop calculation module, configured to calculate the cumulative voltage drop of the lead-acid battery over the entire life cycle according to the battery voltage signal and the operating status signal; The early warning module is used to issue an early warning of battery charging failure based on the accumulated voltage drop and the voltage drop early warning threshold.

9. A commercial vehicle battery charging failure warning device, characterized in that: The commercial vehicle battery charging failure warning device includes: a memory, a processor, and a commercial vehicle battery charging failure warning program stored in the memory and executable on the processor. The commercial vehicle battery charging failure warning program is configured to implement the steps of the commercial vehicle battery charging failure warning method according to any one of claims 1 to 7.

10. A storage medium, characterized in that: The storage medium stores a commercial vehicle battery charging failure warning program, which, when executed by the processor, implements the steps of the commercial vehicle battery charging failure warning method according to any one of claims 1 to 7.

Images