Electric vehicle operation safety and maintenance intelligent management system

Abstract

The present invention provides an intelligent management system for electric vehicle operation safety and maintenance, which integrates the core functions of power battery health status assessment, safety risk analysis, offline inspection and battery information traceability management according to the use and operation characteristics of electric vehicles, and can realize the non-destructive diagnosis and evaluation function of electric vehicle power batteries, so as to timely discover abnormalities, issue early warnings, and take measures to eliminate safety hazards. By organically combining the online customer battery traceability information management system with the offline after-sales repair and maintenance mechanism, it can promote multi-faceted, integrated electric vehicle safety supervision and efficient operation.

Description

Technical Field

[0001] The present invention belongs to the technical field of electric vehicle operation safety management, and specifically relates to an operation safety and maintenance intelligent management system based on electric vehicle big data analysis and application technology. Background Art

[0002] Electric vehicles use power batteries as their energy and power source, storing huge amounts of energy. Their safety and performance depend largely on the power batteries themselves. After the lithium-ion power battery system is integrated and installed in the vehicle, it is subject to multiple factors such as complex working conditions, diverse temperature and humidity environments, and differential aging of system components. As a result, the tiny consistency differences that exist in the battery cells after leaving the factory are easily amplified during the battery degradation stage. At the same time, the inconsistency of time scale changes and the randomness of spatial scale changes are strong. Differential changes in parameters such as capacity and internal resistance can easily lead to nonlinear attenuation of the battery's health state. These problems are also more prominent, which will seriously affect the performance of the battery system and increase safety hazards. Once a power battery suffers a safety accident such as thermal runaway, it will seriously threaten the safety of passengers' lives and property.

[0003] At present, there is still a lack of a complete and effective safety status supervision system for problematic power batteries. As a result, car manufacturers, operating companies, etc. cannot diagnose the power batteries of electric vehicles in a timely manner, and regulatory agencies lack timely risk identification capabilities and cannot take timely "intervention" measures for problematic vehicles. At the same time, vehicle maintenance and repair service providers have little information on battery status and lack complete inspection equipment, which makes battery problem troubleshooting inefficient and difficult to accurately locate faults, resulting in long detection time and high manpower and resource investment costs, seriously affecting customers' convenient and safe use experience. Summary of the invention

[0004] In view of the technical problems existing in the above-mentioned field, the present invention provides an electric vehicle operation safety and maintenance intelligent management system, which is composed of an electric vehicle information comprehensive management and control online cloud platform, a vehicle-pile cloud intelligent inspection subsystem, and an offline battery fault troubleshooting, maintenance and maintenance system;

[0005] The cloud platform specifically includes: a power battery health assessment module, a power battery safety perception and risk warning module, and a power battery traceability information management module;

[0006] The power battery health assessment module is used to perform pre-processing including parsing, cleaning, segmentation, reorganization, classification, and aggregation on the collected vehicle operation big data, extract the two health characteristics of battery internal resistance and capacity; compare these two health characteristics with the internal resistance and capacity standard characteristic database obtained by offline testing experiments on new vehicle power batteries, and output the health assessment analysis results of the power battery;

[0007] The power battery safety perception and risk warning module includes a multi-model fusion algorithm related to battery value rate threshold, characteristic parameters, fluctuation consistency, entropy value diagnosis, voltage drop consistency, risk accumulation, correlation, safety risk quantification, etc., which is used to identify discrete abnormal scenarios of battery cell voltage changes caused by battery capacity and internal resistance attenuation differences and instability during charging and discharging, as well as battery system sub-component aging and abnormal failure scenarios; combined with the collected vehicle operation data, the experience database of accident vehicle cause analysis results, and the static information of the vehicle's core components, the vehicle's safety status risk assessment is achieved and warning information is generated when necessary;

[0008] The power battery traceability information management module is used to record, trace and query the vehicle and battery basic information, usage information, diagnostic information, fault information, maintenance records, repair records, scrapping information, etc. involved in the whole life cycle of the vehicle, and analyze and process the vehicle's whole life cycle information;

[0009] The vehicle-pile cloud intelligent inspection subsystem consists of two parts: online and offline. The offline part consists of a battery charging and detection control module, a data acquisition module and a tablet computer set at the charging pile, which are used to perform charging control on the vehicle and measure various physical parameters.

[0010] The online part is the pulse charging data analysis module, which is used to connect to the network and communicate with the tablet computer controller and data acquisition module, realize the analysis of the real-time status of the battery and fault identification, and generate corresponding diagnostic reports and maintenance suggestions;

[0011] The power battery health assessment module and the pulse charging data analysis module conduct regular inspections on vehicles with battery problems to obtain corresponding data, and form a test report based on the data inspection results to provide repair and maintenance suggestions for the problem vehicles; the power battery health assessment module is controlled and queried through a visual management system;

[0012] The battery fault troubleshooting, care and maintenance system is used to troubleshoot and analyze batteries and vehicle parts that may need to be replaced or repaired based on the analysis results and repair and maintenance recommendations of the cloud platform and the vehicle-pile cloud intelligent inspection subsystem, determine the final replacement or repair parts and upload the troubleshooting and analysis report to the power battery traceability information management module, which is used to update the vehicle's full life cycle information and the experience library.

[0013] Furthermore, the vehicle life cycle information analyzed and processed by the power battery traceability information management module specifically includes:

[0014] The basic information includes basic vehicle information consisting of vehicle VIN, vehicle model, configuration number, vehicle name, vehicle manufacturing date, purchase date, OEM information, etc. and basic battery pack information consisting of battery pack type, battery manufacturer, etc.;

[0015] The usage information includes the vehicle usage date, user and relevant responsible person information, so as to realize the transparency of usage information, improve the efficiency of accident investigation and ensure that the responsibility for vehicle use can be investigated.

[0016] The diagnostic information includes the cloud analysis report generated by the online cloud platform, the diagnostic report generated by the vehicle-pile cloud intelligent inspection subsystem, the offline troubleshooting analysis report, the unpacking verification report, the repair and maintenance follow-up report, and the post-repair diagnosis and troubleshooting analysis report for unidentified faults; the diagnostic information is recorded in multiple dimensions such as time dimension and problem type dimension, providing important reference for subsequent vehicle maintenance work;

[0017] The fault information refers to vehicle faults that cannot be diagnosed in advance through battery data analysis during daily vehicle use, including failure to start and stop, sudden flameout, etc. The fault recording program is launched to collect information such as the time of occurrence of the fault, the name of the fault, and the subsequent repair results of the fault, so as to provide characteristic references for cloud data diagnosis and vehicle-pile cloud intelligent diagnosis system, so as to optimize and upgrade the adaptability of the system;

[0018] The maintenance record is a vehicle maintenance plan that is formulated based on comprehensive consideration of various factors such as the vehicle operating company's management system and data diagnosis results and meets the operating company's characteristic requirements, and includes the planned maintenance process and maintenance result information, which is used to achieve a reliable reference for vehicle maintenance information;

[0019] The maintenance record is the vehicle information, maintenance time, maintenance organization, maintenance address, maintenance personnel and other information involved in vehicle maintenance, which is used to enable management personnel to grasp the safety and health status of the vehicle in a timely manner to avoid safety accidents and affect normal operations due to delayed maintenance;

[0020] The scrapping information refers to the static data such as scrapped vehicle information, battery information, scrapping time, service life, mileage, etc. involved in the scrapping management of the vehicle after the vehicle completes its service life, ensuring the integrity of the information data throughout the life cycle;

[0021] Based on the above full life cycle information, you can select the target vehicle for autonomous query through conditional screening. The system will display usage information, diagnostic information, fault information, maintenance records, repair records, scrapping information and other information in the time dimension to achieve visual display and analysis of full life cycle information.

[0022] The system provided by the present invention integrates the core functions of power battery health status assessment, safety risk analysis, offline inspection and battery information traceability management in view of the use and operation characteristics of electric vehicles, and can realize the non-destructive diagnosis and evaluation of electric vehicle power batteries, and timely discover abnormalities, issue early warnings, and take measures to eliminate safety hazards. By organically combining the online customer battery traceability information management system with the offline after-sales repair and maintenance mechanism, it can promote multi-faceted, integrated safety supervision and efficient operation of electric vehicles. Compared with the prior art, the system provided by the present invention can at least achieve the following beneficial effects:

[0023] (1) A model algorithm with a complete safety evaluation system. Through an accurate perception algorithm model system, it can realize 24-hour safety status supervision of the power battery throughout its life cycle, detect abnormal vehicles in time, and indicate risks;

[0024] (2) Safety status regulators can accurately monitor the health status of power batteries in real time, so that vehicle manufacturers and operators can adjust electric vehicle safety operations and battery management strategies in advance;

[0025] (3) It can realize multi-dimensional vehicle and core component failure statistics, and broadly explore and identify the causal factors of "problematic" batteries, helping enterprises to fully understand the factors affecting battery health status;

[0026] (4) Online and offline collaboration enables “refined” equipment inspection and multi-dimensional “directional” inspection, significantly reducing the maintenance time and labor costs of “problem vehicles” and improving operational management efficiency;

[0027] (5) Customized operation specifications and instruction manuals for battery troubleshooting, repair and maintenance, special equipment support, technical personnel training, etc., to achieve "online and offline integration" technical service guarantee;

[0028] (6) The front-end interface of the electric vehicle operation safety and maintenance intelligent management system realizes real-time visual display of the status of vehicles and core components, supports automatic report generation and information reminder functions, supports customized entry of multi-source information, and supports full life cycle traceability information management. The interface operation and handling are flexible, convenient, simple and easy to use. BRIEF DESCRIPTION OF THE DRAWINGS

[0029] Figure 1 This is the overall architecture diagram of the system provided by the present invention;

[0030] Figure 2 This is the framework diagram of the system's online cloud platform;

[0031] Figure 3 This is the framework diagram of the power battery health assessment module;

[0032] Figure 4This is the framework diagram of the power battery safety perception and risk warning module;

[0033] Figure 5 This is the framework diagram of the power battery traceability information management module. DETAILED DESCRIPTION

[0034] The technical solution of the present invention will be described clearly and completely below in conjunction with the accompanying drawings. 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.

[0035] The electric vehicle operation safety and maintenance intelligent management system provided by the present invention is composed of an online cloud platform for comprehensive information management of electric vehicles, a vehicle-pile cloud intelligent inspection subsystem, and an offline battery fault detection, maintenance and repair system. The system architecture is as follows: Figure 1 As shown;

[0036] Among them, the online cloud platform framework of the system is as follows Figure 2 As shown, it specifically includes: power battery health assessment module, power battery safety perception and risk warning module, and power battery traceability information management module;

[0037] The power battery health assessment module framework is as follows Figure 3 As shown, it is used to perform pre-processing including parsing, cleaning, segmentation, reorganization, classification and aggregation on the collected vehicle operation big data, extract the two health characteristics of battery internal resistance and capacity; compare these two health characteristics with the internal resistance and capacity standard characteristic database obtained by offline testing experiments on new car power batteries, and output the health assessment analysis results of the power battery;

[0038] The power battery safety perception and risk warning module framework is as follows Figure 4 As shown, it includes multi-model fusion data-driven algorithms related to battery value rate thresholds, characteristic parameters, fluctuation consistency, entropy value diagnosis, voltage drop consistency, risk accumulation, correlation, safety risk quantification, etc., which are used to identify discrete abnormal scenarios of battery cell voltage changes caused by differences and instability in battery capacity and internal resistance attenuation during charging and discharging, as well as aging and abnormal failure scenarios of battery system sub-components; combined with the collected vehicle operation data, the experience database of accident vehicle cause analysis results, and the static information of the vehicle's core components, the vehicle's safety status risk assessment is realized and early warning information is generated when necessary, realizing 7*24 hours of all-weather safety status perception of power batteries, advance warning, and real-time in-process alarm;

[0039] The power battery traceability information management module framework is as follows Figure 5As shown, it is used to record, trace and query the basic information of the vehicle and battery, usage information, diagnostic information, fault information, maintenance records, repair records, scrapping information, etc. involved in the whole life cycle of the vehicle, so as to realize the recording, traceability query and analysis of the whole life cycle information of the vehicle;

[0040] The vehicle-pile cloud intelligent inspection subsystem consists of two parts: online and offline. The offline part consists of a battery charging and detection control module, a data acquisition module and a tablet computer installed at the charging pile, which are used to control the vehicle charging and measure various physical parameters. Through the wifi interconnection of each device and the 4G cloud network connection, information exchange and communication are realized, and DC charging and pulse current are applied to the electric vehicle. High-granularity, high-quality pulse and charging data are collected. After deep mining of "long-time domain" data in the cloud and collaborative analysis of characteristic failure algorithms, the battery system status parameter identification and diagnosis analysis are finally realized, and the vehicle-pile cloud intelligent diagnosis report is output to guide users to carry out repairs, maintenance and unpacking inspections. For problems that are directly determined using the initial diagnosis results and cannot be identified by offline equipment inspection (such as self-discharge voltage characterization under micro-short circuit failure, etc.), users can take corresponding repair and maintenance measures based on cloud opinions. Finally, for vehicles that cannot be precisely located through risk identification using cloud-based long-term data and cannot be identified through offline equipment inspection (for example, it is speculated that there may be BMS function control, BMS strategy factors, electrical component aging, battery external structure damage, airtightness factors, etc.), customers are advised to coordinate resources to troubleshoot problems in other dimensions.

[0041] The online part is the pulse charging data analysis module, which is used to connect to the network and communicate with the tablet computer controller and data acquisition module, realize the analysis of the real-time status of the battery and fault identification, and generate corresponding diagnostic reports and maintenance suggestions;

[0042] The power battery health assessment module and the pulse charging data analysis module conduct regular inspections on vehicles with battery problems to obtain corresponding data, and form a test report based on the data inspection results to provide repair and maintenance suggestions for the problem vehicles; the power battery health assessment module is controlled and queried through a visual management system;

[0043] Specifically, the offline part of the vehicle-pile cloud intelligent inspection system consists of a battery charging-detection control module, a data acquisition module and a tablet controller. The battery charging-detection control module (referred to as the control module) is connected to the charging pile CAN bus via the CAN bus. The control module sends instructions to control the charging pile to send pulse current. The data acquisition module is connected to the vehicle's OBD port through the OBD interface to read the vehicle's battery-related diagnostic data, including the total voltage of the battery pack, the module temperature and the terminal voltage value of each cell. At the same time, the data is pushed to the cloud through its own 4G module, achieving the purpose of "fine" diagnosis from online cloud identification to offline.

[0044] The battery fault troubleshooting, care and maintenance system is used to troubleshoot and analyze batteries and vehicle parts that may need to be replaced or repaired based on the analysis results and repair and maintenance recommendations of the cloud platform and the vehicle-pile cloud intelligent inspection subsystem, determine the final replacement or repair parts and upload the troubleshooting and analysis report to the power battery traceability information management module, which is used to update the vehicle's full life cycle information and the experience library.

[0045] In a preferred embodiment of the present invention, the vehicle life cycle information analyzed and processed by the power battery traceability information management module specifically includes:

[0046] The basic information includes basic vehicle information consisting of vehicle VIN, vehicle model, configuration number, vehicle name, vehicle manufacturing date, purchase date, OEM information, etc. and basic battery pack information consisting of battery pack type, battery manufacturer, etc.;

[0047] The usage information includes the vehicle usage date, user and relevant responsible person information, so as to realize the transparency of usage information, improve the efficiency of accident investigation and ensure that the responsibility for vehicle use can be investigated.

[0048] The diagnostic information includes the cloud analysis report generated by the online cloud platform, the diagnostic report generated by the vehicle-pile cloud intelligent inspection subsystem, the offline troubleshooting analysis report, the unpacking verification report, the repair and maintenance follow-up report, and the post-repair diagnosis and troubleshooting analysis report for unidentified faults; the diagnostic information is recorded in multiple dimensions such as time dimension and problem type dimension, providing important reference for subsequent vehicle maintenance work;

[0049] The fault information refers to vehicle faults that cannot be diagnosed in advance through battery data analysis during daily vehicle use, including failure to start and stop, sudden flameout, etc. The fault recording program is launched to collect information such as the time of occurrence of the fault, the name of the fault, and the subsequent repair results of the fault, so as to provide characteristic references for cloud data diagnosis and vehicle-pile cloud intelligent diagnosis system, so as to optimize and upgrade the adaptability of the system;

[0050] The maintenance record is a vehicle maintenance plan that is formulated based on comprehensive consideration of various factors such as the vehicle operating company's management system and data diagnosis results and meets the operating company's characteristic requirements, and includes the planned maintenance process and maintenance result information, which is used to achieve a reliable reference for vehicle maintenance information;

[0051] The maintenance record includes vehicle information, maintenance time, maintenance organization, maintenance address, maintenance personnel and other information involved in vehicle maintenance, which is used to enable management personnel to timely grasp the safety and health status of the vehicle to avoid safety accidents and normal operations caused by delayed maintenance; for battery system pressure difference problems caused by insufficient balancing capacity, active balancing maintenance and repair measures can be carried out based on online and offline diagnostic analysis reports.

[0052] The scrapping information refers to the static data such as scrapped vehicle information, battery information, scrapping time, service life, mileage, etc. involved in the scrapping management of the vehicle after the vehicle completes its service life, ensuring the integrity of the information data throughout the life cycle;

[0053] Based on the above full life cycle information, you can select the target vehicle for autonomous query through conditional screening. The system will display usage information, diagnostic information, fault information, maintenance records, repair records, scrapping information and other information in the time dimension to achieve visual display and analysis of full life cycle information.

[0054] In a specific example of the present invention, relying on the core capabilities of Beijing Institute of Technology Xinyuan Information Technology Co., Ltd., such as cutting-edge information transmission and communication encryption technology, multi-source data communication high concurrency technology, data authenticity and validity verification technology, big data compression storage and rapid retrieval technology, new energy vehicle data visualization technology and high-reliability networked big data platform construction technology, a networking platform, a power battery health status assessment module, a power battery safety warning module, a power battery traceability information management module and a vehicle-pile cloud intelligent inspection and analysis module are constructed, thereby forming the system provided by the above-mentioned present invention.

[0055] It should be understood that the size of the serial numbers of the steps in the embodiment of the present invention does not mean the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiment of the present invention.

[0056] Although embodiments of the present invention have been shown and described, it will be appreciated by those skilled in the art that various changes, modifications, substitutions and variations may be made to the embodiments without departing from the principles and spirit of the present invention, and that the scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. Electric vehicle operation safety and maintenance intelligent management system, characterized by: It consists of an online cloud platform for comprehensive information management of electric vehicles, a vehicle-pile cloud intelligent inspection subsystem, and an offline battery fault troubleshooting, care and maintenance system; The cloud platform specifically includes: a power battery health assessment module, a power battery safety perception and risk warning module, and a power battery traceability information management module; The power battery health assessment module is used to perform pre-processing including parsing, cleaning, segmentation, reorganization, classification, and aggregation on the collected vehicle operation big data, extract the two health characteristics of battery internal resistance and capacity; compare these two health characteristics with the internal resistance and capacity standard characteristic database obtained by offline testing experiments on new vehicle power batteries, and output the health assessment analysis results of the power battery; The power battery safety perception and risk warning module includes a multi-model fusion algorithm related to battery value rate threshold, characteristic parameters, fluctuation consistency, entropy value diagnosis, voltage drop consistency, risk accumulation, correlation, and safety risk quantification, which is used to identify discrete abnormal scenarios of battery cell voltage changes caused by battery capacity and internal resistance attenuation differences and instability during charging and discharging, as well as battery system sub-component aging and abnormal failure scenarios; combined with the collected vehicle operation data, the experience database of accident vehicle cause analysis results, and the static information of the vehicle's core components, the vehicle's safety status risk assessment is achieved and warning information is generated; The power battery traceability information management module is used to record, trace and query the basic information of the vehicle and battery, usage information, diagnostic information, fault information, maintenance records, repair records, and scrapping information involved in the whole life cycle of the vehicle, and analyze and process the whole life cycle information of the vehicle; the whole life cycle information of the vehicle analyzed and processed by the power battery traceability information management module specifically includes: The basic information includes vehicle basic information consisting of vehicle VIN, vehicle model, configuration number, vehicle name, vehicle manufacturing date, purchase date, and OEM information, and battery pack basic information consisting of battery pack type and battery manufacturer; The usage information includes the vehicle usage date, the user and the relevant responsible person information, so as to realize the transparency of usage information, improve the efficiency of accident investigation, and ensure that the responsibility for vehicle use can be investigated; The diagnostic information includes the cloud analysis report generated by the online cloud platform, the diagnostic report generated by the vehicle-pile cloud intelligent inspection subsystem, the offline troubleshooting analysis report, the unpacking verification report, the repair and maintenance follow-up report, and the post-repair diagnosis and troubleshooting analysis report for unidentified faults; the diagnostic information is recorded in multiple dimensions in terms of time and problem type, providing an important reference for subsequent vehicle maintenance work; The fault information refers to vehicle faults that cannot be diagnosed in advance through battery data analysis during daily vehicle use, including failure to start and stop, sudden flameout, etc. The fault recording program is launched to collect the time of occurrence of the fault, the name of the fault, and the subsequent repair result information of the fault, so as to provide characteristic reference for cloud data diagnosis and vehicle-pile cloud intelligent diagnosis system, so as to optimize and upgrade the adaptability of the system; The maintenance record is a vehicle maintenance plan that is formulated based on the vehicle operating company's management system and data diagnosis results, and meets the operating company's characteristic requirements. It includes the planned maintenance process and maintenance result information, which is used to achieve a reliable reference for vehicle maintenance information. The maintenance record is the vehicle information, maintenance time, maintenance organization, maintenance address, and maintenance personnel information involved in vehicle maintenance, which is used to enable management personnel to timely grasp the safety and health status of the vehicle to avoid safety accidents and affect normal operations due to delayed maintenance; The scrapping information is static data involved in the scrapping management of the vehicle after the vehicle completes its service life, including scrapping vehicle information, battery information, scrapping time, service life, and mileage, to ensure the integrity of the information data throughout the life cycle; The vehicle-pile cloud intelligent inspection subsystem consists of two parts: online and offline. The offline part consists of a battery charging and detection control module, a data acquisition module and a tablet computer set at the charging pile, which are used to perform charging control on the vehicle and measure various physical parameters. The online part is the pulse charging data analysis module, which is used to connect to the network and communicate with the tablet computer controller and data acquisition module, realize the analysis of the real-time status of the battery and fault identification, and generate corresponding diagnostic reports and maintenance suggestions; The power battery health assessment module and the pulse charging data analysis module conduct regular inspections on vehicles with battery problems to obtain corresponding data, and form a test report based on the data inspection results to provide repair and maintenance suggestions for the problem vehicles; the power battery health assessment module is controlled and queried through a visual management system; The battery fault troubleshooting, care and maintenance system is used to troubleshoot and analyze batteries and vehicle parts that may need to be replaced or repaired based on the analysis results and repair and maintenance recommendations of the cloud platform and the vehicle-pile cloud intelligent inspection subsystem, determine the final replacement or repair parts and upload the troubleshooting and analysis report to the power battery traceability information management module, which is used to update the vehicle's full life cycle information and the experience library.

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