Intelligent management method and system for electric vehicle and electric vehicle

Abstract

The invention relates to the technical field of artificial intelligence, block chain internet service, electric vehicle intelligent management and the like, and provides an electric vehicle intelligent management method and system and an electric vehicle. Different electric vehicle equipment information or different network platform information needing to be bound, the user credentials and the hash values of the user credentials are separately stored in an under-chain server and a block chain node, a local identity credential is generated through fingerprint or face authentication and used for block chain node verification, and the block chain node verifies the user identity through hash matching. A dynamic token bound with electric vehicle equipment or a network platform is generated through an intelligent contract and provided for a user side to log in or access, and user protocol terms and privacy policy terms concerned by the user are intelligently recommended to the user, so that login management is simplified, potential safety hazards are reduced, reading obstacles of the user are reduced, and user experience is improved. And the user is helped to quickly know the information that the user wants to know in a targeted manner.

Description

Technical Field

[0001] The present invention relates to the technical fields of artificial intelligence, blockchain Internet services, intelligent management of electric vehicles, and in particular to an intelligent management method and system for electric vehicles and an electric vehicle. Background Art

[0002] The intelligent management system of electric vehicles is used to provide platforms and users with the framework and methods for implementing intelligent management of electric vehicles. At present, the intelligent management system of electric vehicles can provide multiple login methods such as mobile phones, emails, Apple and Google, and provide a variety of login options. It also provides humanized interaction, including detailed user agreements, privacy policies and customer service support, so that users can more easily understand and manage personal information. In addition, it can also provide riding logs and fault codes, so that users can clearly understand the status and data feedback of the equipment. However, while multiple login methods bring convenience to users, they also cause cumbersome login management and safety hazards. At the same time, detailed user agreements and privacy policies also create obstacles for users to read the agreements, and cannot substantially guide users to read the agreements and policies, which is not conducive to protecting user rights. Moreover, the riding log forms complex historical data on the riding status of electric vehicles, and users can only read passively, and cannot quickly and specifically understand the information they want to know, nor can it support users to have a forward-looking understanding and maintenance of the status of electric vehicles.

[0003] In summary, the existing intelligent management technology for electric vehicles has technical problems such as cumbersome login management, great safety risks, great reading barriers for users, users can only read passively and cannot quickly and specifically obtain the information they want to know, and users cannot proactively understand and maintain the status of electric vehicles. Summary of the invention

[0004] In view of the deficiencies in the above-mentioned prior art, the present invention provides an intelligent management method, system and electric vehicle for electric vehicles, so as to simplify login management, reduce safety hazards, reduce user reading barriers, and help users quickly and specifically understand the information they want to know.

[0005] In a first aspect, the present invention provides an intelligent management method for an electric vehicle, comprising:

[0006] Acquire collected user information, including fingerprint or face information, age information, gender information, electric vehicle use experience information, and electric vehicle focus point information, encrypt the collected user information, generate encrypted user credentials, and obtain different electric vehicle equipment information or different network platform information that needs to be bound;

[0007] The electric vehicle equipment information or the network platform information and the user credentials are stored in an off-chain server, and the hash value of the electric vehicle equipment information or the network platform information and the user credentials is uploaded to a blockchain node for storage;

[0008] When receiving an electric vehicle device access or network platform login request, a local identity credential is generated through fingerprint or face authentication, and the generated local identity credential is sent to the blockchain node for verification. The blockchain node verifies the user identity through hash matching. After successful verification, the smart contract is triggered. The smart contract generates a dynamic token bound to the electric vehicle device or network platform. The dynamic token is used to provide to the user end for electric vehicle device access or network platform login;

[0009] When a user visits an electric vehicle device for the first time to read the user agreement and privacy policy, the AI ​​assistant intelligently recommends the user agreement terms and privacy policy terms that the user is concerned about to the first-time user based on the age information, the gender information, the electric vehicle usage experience information, and the electric vehicle focus information.

[0010] In a second aspect, the present invention provides an intelligent management system for electric vehicles, wherein the intelligent management system for electric vehicles applies the intelligent management method for electric vehicles described above.

[0011] In a third aspect, the present invention provides an electric vehicle, which is managed using the intelligent management system of the electric vehicle.

[0012] Compared with the prior art, the present invention has the following beneficial effects:

[0013] The present invention provides an intelligent management method, system and electric vehicle for electric vehicles. The method acquires collected user information, wherein the user information includes fingerprint or face information, age information, gender information, electric vehicle use experience information and electric vehicle focus point information, encrypts the collected user information, generates encrypted user credentials, acquires different electric vehicle equipment information or different network platform information that needs to be bound, stores the electric vehicle equipment information or the network platform information and the user credentials in an off-chain server, and uploads the hash value of the electric vehicle equipment information or the network platform information and the user credentials to a blockchain node for storage. When a request for electric vehicle equipment access or network platform login is received, a local identity credential is generated through fingerprint or face authentication, and the generated The local identity credential is sent to the blockchain node for verification. The blockchain node verifies the user identity through hash matching. After successful verification, the smart contract is triggered. The smart contract generates a dynamic token bound to the electric vehicle device or the network platform. The dynamic token is used to provide to the user end to access the electric vehicle device or log in to the network platform. When the user visits the electric vehicle device for the first time to read the user agreement and privacy policy, the user agreement terms and privacy policy terms that the user is concerned about are intelligently recommended to the first-time visiting user through the AI ​​assistant based on the age information, the gender information, the electric vehicle usage experience information and the electric vehicle focus information, thereby simplifying login management, reducing security risks, reducing user reading barriers, and helping users to quickly and specifically understand the information they want to know. BRIEF DESCRIPTION OF THE DRAWINGS

[0014] The drawings described herein are used to provide a further understanding of the present invention and constitute a part of the present invention. The exemplary embodiments of the present invention and their description are used to explain the present invention and do not constitute an improper limitation of the present invention. Some specific embodiments of the present invention will be described in detail in an exemplary and non-restrictive manner with reference to the drawings. The same reference numerals in the drawings indicate the same or similar components or parts. It should be understood by those skilled in the art that these drawings are not necessarily drawn to scale. In the drawings:

[0015] Figure 1 It is a flow chart of an intelligent management method for electric vehicles according to an embodiment of the present invention;

[0016] Figure 2 This is a schematic diagram of the architecture of an intelligent management system for electric vehicles according to an embodiment of the present invention;

[0017] Figure 3 It is a schematic diagram of the architecture of a server according to an embodiment of the present invention. DETAILED DESCRIPTION

[0018] In order to enable those skilled in the art to better understand the scheme of the present invention, the technical scheme in the embodiment of the present invention will be clearly and completely described below in conjunction with the drawings in the embodiment of the present invention. Obviously, the described embodiment is only an embodiment of a part of the present invention, not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without making creative work should fall within the scope of protection of the present invention.

[0019] Embodiment 1

[0020] See also Figure 1-Figure 3 This embodiment provides an intelligent management method for electric vehicles, comprising the following steps:

[0021] S101, obtaining collected user information, the user information including fingerprint or face information, age information, gender information, electric vehicle use experience information and electric vehicle focus point information, encrypting the collected user information, generating encrypted user credentials, and obtaining different electric vehicle equipment information or different network platform information that needs to be bound;

[0022] S102, storing the electric vehicle equipment information or the network platform information and the user credentials in an off-chain server, and uploading the hash value of the electric vehicle equipment information or the network platform information and the user credentials to a blockchain node for storage;

[0023] S103. When receiving an electric vehicle device access or network platform login request, a local identity credential is generated through fingerprint or face authentication, and the generated local identity credential is sent to a blockchain node for verification. The blockchain node verifies the user identity through hash matching. After successful verification, a smart contract is triggered. The smart contract generates a dynamic token bound to the electric vehicle device or network platform. The dynamic token is used to provide the user terminal with electric vehicle device access or network platform login;

[0024] S104. When a user visits an electric vehicle device for the first time to read the user agreement and privacy policy, the user agreement terms and privacy policy terms that the user is concerned about are intelligently recommended to the first-time user through an AI assistant based on the age information, the gender information, the electric vehicle usage experience information, and the electric vehicle focus information.

[0025] It should be noted that, in this embodiment, all or part of step S101, step S102, step S103 and step S104 can be run on the server. In addition to executing step S101, step S102, step S103 and step S104 in this embodiment, the server can also run some or all of the steps of the method involved below. The server may include a memory, a processor, and a network interface that are connected to each other through a system bus. Among them, those skilled in the art can understand that the server here is a device that can automatically perform numerical calculations and / or information processing according to pre-set or stored instructions, and its hardware includes but is not limited to a microprocessor, an application specific integrated circuit (Application Specific Integrated Circuit, ASIC), a programmable gate array (Field-Programmable Gate Array, FPGA), a digital processor (Digital Signal Processor, DSP), an embedded device, etc. The server can interact with the user through a keyboard, a mouse, a remote control, a touchpad or a voice control device. The memory includes at least one type of readable storage medium, and the readable storage medium includes flash memory, hard disk, multimedia card, card-type memory (for example, SD or DX memory, etc.), random access memory (RAM), static random access memory (SRAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), programmable read-only memory (PROM), magnetic memory, disk, optical disk, etc. In some embodiments, the memory can be an internal storage unit of the server, such as a hard disk or memory of the server. In other embodiments, the memory can also be an external storage device of the server, such as a plug-in hard disk equipped on the server, a smart memory card (Smart Media Card, SMC), a secure digital (Secure Digital, SD) card, a flash card (Flash Card), etc. Of course, the memory can also include both the internal storage unit of the server and its external storage device.

[0026] It should be noted that, in this embodiment, the fingerprint or face information in the user information can be used as the core credential for user identity authentication, and the biometric feature is unique to ensure the security of identity authentication. Age, gender, electric vehicle use experience, and electric vehicle focus information can be used to provide users with intelligent personalized service data basis. Generating credentials after encrypting user information can ensure that sensitive data will not be stolen or tampered with during transmission or storage. In addition, storing electric vehicle equipment information, network platform information, and user credentials off-chain, and uploading their hash values ​​to the blockchain, can reduce the blockchain storage pressure and ensure data integrity and authenticity. It should be noted that the amount of data of electric vehicle equipment information and user credentials is large, and directly uploading the blockchain will increase storage costs and performance overhead. Storing sensitive data such as user credentials off-chain and uploading the hash value to the blockchain can ensure data integrity and authenticity, while reducing the storage burden of the blockchain. Among them, the immutability of the hash value can ensure the credibility of the off-chain stored data during subsequent verification. As a distributed ledger, the blockchain can prevent device information and user credentials from being illegally modified or deleted. In addition, in this embodiment, by generating identity credentials locally, user credentials can be avoided from being directly transmitted on the network, reducing the risk of sensitive information leakage. Users do not need to remember passwords through fingerprint or face authentication, which can improve the convenience of user login. At the same time, blockchain nodes can quickly verify user identities through hash matching, which can improve login response speed. The identity authentication result automatically triggers the smart contract without manual intervention, which can improve operational efficiency. Smart contracts generate dynamic tokens bound to electric vehicle devices or network platforms. Dynamic tokens allow users to quickly switch logins between electric vehicle devices and network platforms without repeated identity authentication, thus avoiding cumbersome login management. Moreover, dynamic tokens are used to replace user credentials when logging in, which can reduce the risk of leakage of user sensitive data during the login process.

[0027] It should also be noted that the user agreement and privacy policy terms are usually cumbersome and lengthy, and users often skip reading them, which may increase potential rights and interests risks. In this embodiment, when a user visits an electric vehicle device for the first time to read the user agreement and privacy policy, the AI ​​assistant intelligently recommends the user agreement terms and privacy policy terms that the user is concerned about to the first-time user based on the age information, the gender information, the electric vehicle usage experience information, and the electric vehicle focus information, thereby highlighting the terms that the user is most concerned about, lowering the reading threshold, and improving the effectiveness and experience of the user's reading. It should also be noted that in this embodiment, electric vehicles include but are not limited to electric bicycles, electric skateboards, electric balance vehicles, etc.

[0028] In some preferred embodiments, when a user accesses an electric vehicle device or a network platform for operation and use, the user usage data on the electric vehicle device or the network platform is stored in the off-chain server, and a hash value of the user usage data is regularly generated and uploaded to the blockchain node. It should be noted that user usage data (such as riding logs, equipment status, fault information, etc.) is large in volume and frequently updated. Direct storage in the blockchain node will take up a large amount of blockchain storage space, resulting in performance degradation and increased costs. As the main storage medium, the off-chain server can efficiently store a large amount of data at a relatively low cost, and supports fast query and modification. In addition, the hash value of the user data can uniquely identify the current state of the data and verify its integrity, ensuring that the data stored off-chain has not been tampered with or lost. By regularly generating hash values, the blockchain records can be updated in time after the data is updated to maintain the consistency of the on-chain and off-chain data.

[0029] In some further embodiments, when intelligently recommending the user agreement terms and privacy policy terms that the user is concerned about, it includes: when judging that the user is a minor user based on the age information, recommending the terms related to guardian responsibilities in the user agreement and the privacy policy to the minor user; when judging the specific gender of the user based on the gender information, recommending the terms related to personal privacy protection in the user agreement and the privacy policy to the user of the specific gender; when judging that the user is a novice user based on the electric vehicle use experience information, recommending the operational safety terms in the user agreement to the novice user; when judging that the user is an experienced user based on the electric vehicle use experience information, recommending the equipment performance guarantee terms in the user agreement to the experienced user; when judging the user's concerns based on the electric vehicle concern information, recommending the user the terms related to the user's concerns in the user agreement and the privacy policy. For example, when the user is concerned about battery life, maintenance policy and other concerns, the relevant terms of battery life and maintenance policy are recommended to the user to improve the effectiveness and experience of the user's reading.

[0030] In some further embodiments, the intelligent management method of electric vehicles may also include the following steps: generating a user's use log of the electric vehicle, intelligently identifying the privacy information and subject information in the use log, fuzzifying the privacy information and intelligently recommending different bound network platforms suitable for sharing the subject information, and after the user of the user end confirms with one click, the use log after fuzzification is automatically shared to the different network platforms recommended intelligently. It should be noted that the use log can record key information such as the user's riding path, mileage, power consumption, etc., and provide users with a comprehensive use record for easy viewing and management. In addition, the use log is the original data source for intelligent recommendation. By analyzing the log information (such as riding time, location, event, etc.), it can provide support for content recommendation and sharing decisions. The use log may contain sensitive information (such as user location information, specific time point, etc.), which may lead to privacy leakage if shared directly. In this embodiment, intelligently identifying privacy information (such as GPS coordinates, device identification, etc.) and fuzzifying it can ensure that the shared content will not expose the user's privacy. The subject information in the use log (such as long-distance riding, scenic check-in, riding challenge, etc.) can help identify content suitable for sharing. Theme extraction makes the shared content more attractive and relevant, and improves the user's interaction rate on the network platform. In addition, fuzzification processing (such as replacing specific locations with large-scale locations, blurring specific times into dates, etc.) can protect user privacy while ensuring the value of the content. Intelligent recommendation combines the subject information of the usage log (such as riding scenery sharing is suitable for social platforms, and data analysis results are suitable for cloud storage platforms) and the user's bound network platform preferences to provide users with accurate recommendations and reduce the burden of manual selection by users. In this embodiment, based on the user's binding history, usage preferences and network platform characteristics, the most relevant network platform can be matched for the user to achieve personalized content distribution. If the user often shares activity photos on social media, social media is recommended as a sharing target. For example, scenery-related content is more suitable for visual-based sharing platforms. In addition, one-click confirmation and automatic sharing functions can reduce user operation steps, make the sharing process simple and fast, and increase user sharing enthusiasm. At the same time, the user confirmation mechanism ensures that the shared content is completely controlled by the user, avoids the release of content without permission, and maintains the initiative and efficiency of intelligent recommendation while respecting user choices. Furthermore, when intelligently identifying the privacy information and subject information in the usage log, it includes: intelligently identifying the privacy information and subject information in the usage log according to the user's age information, gender information, electric vehicle usage experience information, electric vehicle focus information and the content of the usage log. It should be noted that the need for privacy protection varies with age. Users of different age groups have different sensitivities to privacy. For example, underage users need to protect specific location information and time points, while adult users may be more concerned about the privacy of data statistics.Identifying privacy information based on age can more specifically blur sensitive data and enhance user trust. In addition, age groups are associated with user-preferred topic information. For example, young users may prefer to share challenging or interesting cycling records. Older users may be more concerned about healthy cycling data or safe cycling suggestions. Age-based topic extraction can improve the attractiveness of shared content and the social interaction effect. In addition, users of different genders may have different concerns about privacy information. For example, female users may be more concerned about location privacy and time privacy to prevent the exposure of personal travel patterns. Male users may be more concerned about device performance or the security of data usage. Optimizing the identification strategy of privacy information based on gender can help better meet the personalized needs of users. In addition, gender may affect users' preferences for shared content. For example, female users may prefer topics with social attributes (such as cycling and gathering with friends, and scenic check-ins). Male users may prefer technical or challenging topics (such as mileage records, speed challenges). In addition, users of different experience levels may have different sharing needs. For example, novice users may prefer basic topics (such as first cycling logs and novice mileage records). Experienced users may be more concerned about advanced topics (such as technical data and long-distance cycling challenges). Intelligent identification based on usage experience can make the recommended content more in line with the user's actual needs and sharing motivations. In addition, user concerns (such as battery life, speed, safety, etc.) determine which data is more sensitive to the user. For example: users who are concerned about battery life may be sensitive to battery performance data and need to protect their privacy. Users who are concerned about safety may be more concerned about the privacy of location information. According to the user's concerns, private information that needs to be blurred can be accurately identified. In addition, the content of the usage log can dynamically determine the privacy information. For example, logs containing detailed location information need to focus on blurring GPS data. Logs involving user interactions (such as social activities during cycling) need to blur participant information. At the same time, the log content itself is the direct basis for topic extraction. For example, logs containing long-distance cycling records can extract challenging cycling topics. Logs involving cycling scenery can extract scenery recommendation topics. In this embodiment, topic extraction based on log content can make the recommended sharing content more in line with actual scenarios and enhance user experience.

[0031] In some preferred embodiments, the fingerprint or face information is collected through the camera module or fingerprint recognition module of the user end, and the age information, gender information, electric vehicle use experience information and electric vehicle focus information are collected through the electric vehicle APP of the user end. It should be noted that the fingerprint or face information is collected through the camera module or fingerprint recognition module of the user end, and there is no need to transmit the original data to the external server, which reduces the intermediate links and reduces the risk of data leakage. The user end can be a smart phone or other smart device. Smart phones or other smart devices are generally equipped with cameras and fingerprint recognition modules, and the collection requirements can be met without additional hardware costs. In addition, the electric vehicle APP, as a unified entrance for user management and data interaction, can centrally collect non-biological information (such as age, gender, etc.), which is convenient for subsequent data storage, encryption and processing. In addition, collecting information through the electric vehicle APP helps to improve the authenticity and pertinence of the data. After the electric vehicle APP data is collected, the information can be directly uploaded to the off-chain storage server and the hash value generated is synchronized to the blockchain to ensure that users can access consistent personal information when logging in on different devices.

[0032] In some preferred embodiments, the collected user information is encrypted to generate the encrypted user credentials, including: formatting the collected user information and converting the formatted user information into text or binary format; generating a unique random encryption key through a cryptographically secure random number generator, and storing the random encryption key in a local TEE or TPM for encryption; encrypting the formatted user information using an AES-256 or ChaCha20 encryption algorithm to generate an encrypted user credential. It should be noted that the formatting of user information (such as normalized fingerprint features or standardized face vector data) can eliminate data redundancy or structural problems, ensure the consistency of input data, and avoid encryption failure due to non-standard format. The formatted information is converted into text or binary format for easy input into the encryption algorithm and adapted to mainstream encryption libraries (such as standard implementations of AES or ChaCha20). In addition, the random encryption key is generated by a cryptographically secure random number generator (such as CSPRNG) to ensure that the key is unpredictable and prevent security risks caused by key duplication or speculation. Each user information is encrypted using an independent random key, and even if a key is leaked, it will not affect the security of other users. TEE (Trusted Execution Environment) or TPM (Trusted Platform Module) is a hardware-level security module that can securely store and manage keys to prevent keys from being stolen by malware or physical attacks. TEE (Trusted Execution Environment) or TPM (Trusted Platform Module) is a local security module. Using a local security module to store keys can prevent keys from being transmitted with data or stored in a vulnerable environment, thereby improving overall system security. In addition, AES-256 is an advanced encryption standard widely used in the field of commercial encryption. It is highly efficient and resistant to attacks, and has good support for hardware acceleration. ChaCha20 is a modern encryption algorithm based on stream encryption. Compared with AES, it has higher efficiency and security in some mobile devices or low-power environments. Use an encryption algorithm to encrypt formatted user information to generate unique user credentials. User credentials are highly random and irreversible to ensure data security.

[0033] In some preferred embodiments, when obtaining different electric vehicle equipment information that needs to be bound, it includes: initiating a binding request through an electric vehicle APP, providing a binding option list in the user interface of the electric vehicle APP for the user to select the electric vehicle equipment that needs to be bound; after the electric vehicle equipment that needs to be bound is selected, a connection is established with the selected electric vehicle equipment through a wireless communication protocol (such as Bluetooth, Wi-Fi or NFC), and the device identifier (such as device ID, MAC address or serial number, etc.) and the associated information of the device identifier (such as device model, firmware version, etc.) returned by the selected electric vehicle equipment are obtained, and the legitimacy of the device identifier is verified (such as checking whether it is in the authorized device list). After successful verification, the device identifier and the associated information of the device identifier are recorded as the electric vehicle equipment information that needs to be bound. It should be noted that each electric vehicle equipment can be uniquely identified through the device identifier (such as device ID, MAC address, serial number, etc.) to ensure that the binding relationship is not repeated or conflicting. Wireless communication (Bluetooth, Wi-Fi, NFC) supports real-time interaction between devices to ensure that the acquired device identifier is accurate. In addition, electric vehicle equipment may have various models or different firmware versions. The device characteristics can be further confirmed through associated information (such as device model, firmware version) to support targeted function binding or upgrade strategies. In addition, obtaining the device identifier and its associated information is the basis for verifying the legitimacy and authorization status of the device to ensure that the bound device is an electric vehicle device authorized by the user. When verifying the legitimacy of the device identifier, verifying whether the device identifier exists in the authorized device list can prevent users from binding pirated devices, counterfeit devices, or unauthorized devices, which helps maintain the integrity of the device ecosystem and protect the legitimate rights and interests of users and manufacturers. After recording the different electric vehicle equipment information that needs to be bound (such as device ID and its associated information, etc.), the binding relationship between the user terminal and the electric vehicle equipment can be quickly queried in subsequent use.

[0034] In some preferred embodiments, when obtaining different network platform information that needs to be bound, it includes: initiating a binding request through an electric vehicle APP, providing a binding option list in the user interface of the electric vehicle APP for the user to select the network platform that needs to be bound; after the network platform that needs to be bound is selected, prompting the user to log in to the network platform that needs to be bound, so as to obtain the network platform identification information returned by the network platform that needs to be bound, and recording the network platform identification information as the network platform information that needs to be bound. It should be noted that the binding option list (such as supported social platforms, cloud storage platforms, data analysis platforms, etc.) is convenient for users to intuitively select the target network platform. Further, the binding option list can include platform identification (such as name, icon, status, etc.) and binding prompts, so that users do not need to manually enter platform information, reducing the complexity of operation. Different users may use different network platforms, and providing a multi-option binding list can meet the personalized needs of users. In addition, the user logging in to the network platform is an authorization step in the binding process to ensure that the platform binding is clearly operated and agreed by the user. During the network platform login process, the user can confirm the identity through his account and password or other verification methods (such as OAuth) to ensure the authenticity of the binding. After recording the network platform identification information, the binding relationship between the user and the platform can be quickly verified through the network platform identification information, realizing seamless switching and shared data operations between platforms.

[0035] In some preferred embodiments, the intelligent management method of electric vehicles also includes: during the use of the electric vehicle, different types of functional faults of the electric vehicle are detected in real time, and each type of functional fault corresponds to a configured vehicle fault code; when a request for viewing the vehicle fault code corresponding to a specific type of functional fault is received, the basic solution of the specific type of functional fault is displayed to the user end. It should be noted that real-time detection of functional faults (such as battery failure, brake system abnormality, controller failure, etc.) can discover potential problems in the first time and avoid safety accidents caused by failures not being detected in time. In addition, different types of faults correspond to unique vehicle fault codes (such as error codes or status codes), which facilitates the standardized transmission and management of fault information. The fault code design can be connected with industry standards or manufacturer specifications to ensure the uniformity and compatibility of information. In addition, when a request for viewing the vehicle fault code corresponding to a specific type of functional fault is received, the basic solution (such as restarting the system, replacing parts, checking whether the connection between the instrument and the main line is normal or contacting after-sales, etc.) is directly displayed to the user end to help users quickly understand the problem-solving steps. Users can try basic repairs without waiting for professional maintenance support, reducing maintenance costs and time waste caused by minor problems. Furthermore, a vehicle fault code option list is provided in the user interface of the electric vehicle APP, and multiple types of vehicle fault codes are displayed in the vehicle fault code option list. When each type of vehicle fault code is clicked and selected, a request to view the vehicle fault code corresponding to the specific type of functional fault is triggered, and the basic solution to the specific type of functional fault is displayed below the corresponding vehicle fault code in the vehicle fault code option list. It should be noted that all vehicle fault codes are displayed in a list format, so that the information is intuitive and easy to access, avoiding users from looking for fault information in a complex interface. In addition, in this embodiment, the interactive fault viewing function is realized by the user clicking on the option to trigger the viewing request, so that the user can query on demand instead of passively accepting information, thereby enhancing the user's sense of participation. In addition, in this embodiment, the solution is directly displayed below the fault code, so that the upper and lower associations of information can be realized, and the user can understand the content and solution of the fault at a glance, avoiding users from switching between multiple interfaces to query, and improving the efficiency of information acquisition.

[0036] In some preferred embodiments, the intelligent management method of electric vehicles further includes: analyzing the historical fault data and fault codes of electric vehicles through machine learning, predicting the functional faults that may occur in electric vehicles in advance, and pushing the vehicle fault codes corresponding to the specific functional faults that may occur in electric vehicles and the basic solutions corresponding to the vehicle fault codes to the user end. It should be noted that the historical fault data and fault codes contain real problems and patterns of electric vehicle operation. By analyzing these data through machine learning, the occurrence patterns and trends of potential faults can be identified. Machine learning algorithms (such as classification algorithms, time series predictions, etc.) can build prediction models based on multidimensional data to achieve high-accuracy functional fault prediction. Some functional faults may not appear directly. By analyzing the patterns and correlations in historical data, implicit and easily overlooked potential problems can be predicted. For example: a decrease in charging efficiency may be related to a failure of the battery management system (BMS). Abnormal controller temperature may indicate a risk of motor overload. In this embodiment, by predicting functional faults in advance, users can take preventive maintenance measures (such as inspection, repair or replacement of parts) before the fault occurs to avoid fault escalation or unexpected downtime. Moreover, pushing the predicted fault codes and solutions to users can help users understand possible sources of problems and their solutions. In addition, through push prompts, users do not need to frequently operate the APP interaction interface, which improves the efficiency and convenience of learning about faults and their solutions. It is extremely friendly to users who do not like or are not familiar with APP interaction.

[0037] Embodiment 2

[0038] See also Figure 1-Figure 3The present embodiment provides an intelligent management system for electric vehicles and an electric vehicle, wherein the intelligent management system for electric vehicles is used to manage electric vehicles, and the intelligent management system for electric vehicles applies the intelligent management method for electric vehicles described in any of the above embodiments, by acquiring collected user information, wherein the user information includes fingerprint or face information, age information, gender information, electric vehicle usage experience information, and electric vehicle focus point information, encrypting the collected user information, generating encrypted user credentials, and acquiring different electric vehicle device information or different network platform information that needs to be bound, storing the electric vehicle device information or the network platform information and the user credentials on an off-chain server, and uploading the hash value of the electric vehicle device information or the network platform information and the user credentials to a blockchain node for storage, and upon receiving an electric vehicle device access or network platform request, encrypting the collected user information, generating encrypted user credentials, and acquiring different electric vehicle device information or different network platform information that needs to be bound, storing the electric vehicle device information or the network platform information and the user credentials on an off-chain server, and uploading the electric vehicle device information or the network platform information and the user credentials to a blockchain node for storage, and upon receiving an electric vehicle device access or network platform request, encrypting the collected user information, generating encrypted user credentials, and obtaining different electric vehicle device information or different network platform information that needs to be bound, generating encrypted user credentials, and encrypting the collected user information, generating encrypted user credentials, and generating encrypted user credentials, When a login request is made, a local identity credential is generated through fingerprint or face authentication, and the generated local identity credential is sent to the blockchain node for verification. The blockchain node verifies the user identity through hash matching, and triggers the smart contract after successful verification. The smart contract generates a dynamic token bound to the electric vehicle device or the network platform. The dynamic token is used to provide the user end with electric vehicle device access or network platform login. When the user visits the electric vehicle device for the first time to read the user agreement and privacy policy, the user agreement terms and privacy policy terms that the user is concerned about are intelligently recommended to the first-time visiting user through the AI ​​assistant based on the age information, gender information, electric vehicle usage experience information and electric vehicle focus information, thereby simplifying login management, reducing security risks, reducing user reading barriers, and helping users to quickly and specifically understand the information they want to know.

[0039] It should be pointed out that the above embodiments are only preferred specific implementation modes of the present invention, and the protection scope of the present invention is not limited thereto. Any changes or substitutions that can be easily thought of by any technician familiar with the technical field within the technical scope disclosed by the present invention should be covered within the protection scope of the present invention. The protection scope of the present invention should be based on the protection scope of the claims.

Claims

1. An intelligent management method for electric vehicles, characterized in that: include: Acquire collected user information, including fingerprint or face information, age information, gender information, electric vehicle use experience information, and electric vehicle focus point information, encrypt the collected user information, generate encrypted user credentials, and obtain different electric vehicle equipment information or different network platform information that needs to be bound; The electric vehicle equipment information or the network platform information and the user credentials are stored in an off-chain server, and the hash value of the electric vehicle equipment information or the network platform information and the user credentials is uploaded to a blockchain node for storage; When receiving an electric vehicle device access or network platform login request, a local identity credential is generated through fingerprint or face authentication, and the generated local identity credential is sent to the blockchain node for verification. The blockchain node verifies the user identity through hash matching. After successful verification, the smart contract is triggered. The smart contract generates a dynamic token bound to the electric vehicle device or network platform. The dynamic token is used to provide to the user end for electric vehicle device access or network platform login; When a user visits an electric vehicle device for the first time to read the user agreement and privacy policy, the AI ​​assistant intelligently recommends the user agreement terms and privacy policy terms that the user is concerned about to the first-time user based on the age information, the gender information, the electric vehicle usage experience information, and the electric vehicle focus information.

2. The intelligent management method of electric vehicles according to claim 1, characterized in that: When a user accesses an electric vehicle device or a network platform for operation, the user usage data of the electric vehicle device or the network platform is stored in the off-chain server, and a hash value of the user usage data is regularly generated and uploaded to the blockchain node.

3. The intelligent management method of electric vehicles according to claim 1, characterized in that: The fingerprint or face information is collected through a camera module or a fingerprint recognition module on the user side, and the age information, gender information, electric vehicle usage experience information and electric vehicle focus point information is collected through an electric vehicle APP on the user side.

4. The intelligent management method of electric vehicles according to claim 1, characterized in that: Encrypting the collected user information to generate encrypted user credentials includes: Formatting the collected user information, and converting the formatted user information into text or binary format; Generate a unique random encryption key through a cryptographically secure random number generator, and store the random encryption key in a local TEE or TPM for encryption; The user information after format conversion is encrypted using AES-256 or ChaCha20 encryption algorithm to generate encrypted user credentials.

5. The intelligent management method of electric vehicles according to claim 1, characterized in that: When obtaining the different electric vehicle equipment information that needs to be bound, including: Initiate a binding request through the electric vehicle APP, and provide a binding option list in the user interface of the electric vehicle APP for the user to select the electric vehicle device to be bound; After the electric vehicle device to be bound is selected, a connection is established with the selected electric vehicle device through a wireless communication protocol, and a device identifier returned by the selected electric vehicle device and associated information of the device identifier are obtained; The legitimacy of the device identifier is verified, and after successful verification, the device identifier and the associated information of the device identifier are recorded as the electric vehicle device information that needs to be bound.

6. The intelligent management method of electric vehicles according to claim 1, characterized in that: When obtaining the information of different network platforms that need to be bound, including: Initiate a binding request through the electric vehicle APP, and provide a binding option list in the user interface of the electric vehicle APP for the user to select the network platform to be bound; After the network platform to be bound is selected, the user is prompted to log in to the network platform to be bound to obtain the network platform identification information returned by the network platform to be bound; The network platform identification information is recorded as the network platform information that needs to be bound.

7. The intelligent management method of an electric vehicle according to any one of claims 1 to 6, characterized in that: Also includes: During the use of electric vehicles, different types of functional faults of electric vehicles are detected in real time. Each type of functional fault corresponds to a configured vehicle fault code; When a request for viewing a vehicle fault code corresponding to a specific type of functional fault is received, a basic solution to the specific type of functional fault is displayed to the user terminal.

8. The intelligent management method of electric vehicles according to claim 7, characterized in that: Also includes: Through machine learning, the historical fault data and fault codes of electric vehicles are analyzed to predict in advance the possible functional failures of electric vehicles, and the vehicle fault codes corresponding to the predicted specific functional failures of the electric vehicles and the basic solutions corresponding to the vehicle fault codes are pushed to the user end.

9. An intelligent management system for electric vehicles, characterized in that: The intelligent management system of the electric vehicle applies the intelligent management method of the electric vehicle as described in any one of claims 1-9.

10. An electric vehicle, characterized in that: The electric vehicle is managed using the intelligent management system for electric vehicles as claimed in claim 9.

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