Intelligent interconnection vehicle control system of pure electric vehicle

Abstract

The invention discloses an intelligent interconnection whole vehicle control system for a pure electric vehicle, and particularly relates to the technical field of intelligent interconnection whole vehicles, which comprises an electric vehicle information acquisition module, a preprocessing module, an electric vehicle information acquisition module, an electric vehicle information analysis module, a comprehensive analysis module, a data judgment module and an early warning module. According to the method, target text selection is carried out through a first whole vehicle text of target pure electric vehicle equipment and any screened sub-text, and a first key text is obtained according to preprocessing operation; various data are analyzed to obtain various coefficient values by analyzing the pure electric vehicle, and an important basis is provided for a subsequent system to analyze the intelligent interconnected whole vehicle of the pure electric vehicle; various analyzed coefficient values are comprehensively analyzed through a mathematical model, a comprehensive key text reply value is obtained through calculation, the visual effect and the data accuracy can be better presented, and the practicability and safety of the pure electric vehicle intelligent interconnection whole vehicle can be better improved.

Description

Technical Field

[0001] The present invention relates to the field of intelligent interconnected vehicle technology, and more specifically, to an intelligent interconnected vehicle control system for a pure electric vehicle. Background Art

[0002] With the development of the information age, intelligent interconnected vehicles refer to new transportation tools that deeply integrate advanced information technology with traditional automobile manufacturing technology, making the car highly intelligent and fully interconnected; intelligent vehicles are general vehicles that have added advanced sensors (such as radars, cameras, etc.), controllers, actuators and other devices, and realize information exchange with people, cars, roads, etc. through the on-board environmental perception system and information terminals, so that the vehicle has intelligent environmental perception capabilities, can automatically analyze the safety and danger status of vehicle driving, and make the vehicle reach the destination according to people's wishes, and finally achieve the purpose of replacing people to operate. In general, intelligent cars are equipped with advanced sensing systems, decision-making systems, and execution systems, and use new technologies such as information communication, the Internet, big data, cloud computing, and artificial intelligence. They have partial or full automatic driving functions and are gradually transformed from simple transportation tools to intelligent mobile spaces.

[0003] An existing pure electric vehicle intelligent interconnected vehicle control system mainly includes a vehicle collection module, a vehicle information analysis module and a safety performance evaluation module; the equipment status collection module mainly collects data related to the operating status of the pure electric vehicle through various sensors; the vehicle information analysis module converts complex data into intuitive analysis results to make the system analysis clearer, so as to accurately judge the working status and potential risks of the whole vehicle; the safety performance evaluation module accurately evaluates the existing safety performance by comparing historical operating data, thereby further improving the safety of the equipment.

[0004] However, there are still some shortcomings in its actual use. For example, in the electric vehicle collection module, the status data of electrical equipment is collected by sensors, which is easily disturbed by the surrounding environmental factors, resulting in inaccurate data; in the electric vehicle information analysis module, the collected data is processed, but when the existing technology analyzes the data of pure electric vehicles, there will be deviations in the analysis results and omissions of data, and data gaps will occur, which reduces the reference value of the pure electric vehicle intelligent interconnection vehicle data; the existing system lacks comprehensive data to measure the key indicators of the performance of pure electric vehicles, making the evaluation not comprehensive and objective, increasing the difficulty and risk of decision-making, and bringing troubles to the management of the pure electric vehicle intelligent interconnection vehicle.

[0005] Therefore, there is an urgent need for a pure electric vehicle intelligent interconnected vehicle control system to solve the problem. Summary of the invention

[0006] In order to overcome the above-mentioned defects of the prior art, an embodiment of the present invention provides a pure electric vehicle intelligent interconnected vehicle control system, which solves the problems raised in the above-mentioned background technology through the field of intelligent interconnected vehicle technology.

[0007] To achieve the above-mentioned purpose, the present invention provides the following technical solutions: a pure electric vehicle intelligent interconnected vehicle control system, comprising: a vehicle information acquisition module, a preprocessing module, a vehicle information collection module, a vehicle information analysis module, a comprehensive analysis module, a data discrimination module and an early warning module.

[0008] Electric vehicle information acquisition module: in response to the AI ​​control operation of the smart interconnected vehicle, obtain the first vehicle text of the target pure electric vehicle device, the first vehicle text is determined as the target text, and the target text is filtered out to obtain each subtext, and the subtexts are labeled as i=1, 2, ..., n in sequence; Preprocessing module: used to perform preprocessing analysis on the target text to obtain the first key text; Tram information collection module: used for selecting data of the first key text of any sub-text in the target text; Electric vehicle information analysis module: obtains a corresponding first key text response value according to the first key text analysis; includes an intelligent driving assistance calculation unit, an electric vehicle communication calculation unit, an in-vehicle environment calculation unit and a safety performance calculation unit; Comprehensive analysis module: obtains a comprehensive key text reply value according to the first key text reply value in the tram information analysis module; including a comprehensive calculation unit; Data identification module: compares the comprehensive key text response value with the preset comprehensive key text threshold in the actual process and transmits the judgment result to the early warning module; Early warning module: Based on the signal in the data identification module, it is sent to the corresponding manager of the target pure electric vehicle in a preset response method.

[0009] Preferably, obtaining the first key text specifically includes: The automatic following distance adjustment accuracy is denoted as Fd, the lane keeping system deviation correction interval is denoted as Fj, the adaptive cruise speed adjustment frequency is denoted as Fz, the vehicle network signal strength value is denoted as Tq, the remote control response time is denoted as Tx, the communication distance between the vehicle and other vehicles is denoted as Tj, the decibel value of the noise inside the car is denoted as Hf, the seat temperature adjustment range is denoted as Hw, the air molecule concentration value inside the car is denoted as Hs, the airbag pop-up pressure value is denoted as Qy, the collision warning distance accuracy is denoted as Qj and the emergency braking deceleration is denoted as Qs.

[0010] Preferably, the intelligent driving assistance calculation unit is used to establish a mathematical model of the intelligent driving assistance coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the intelligent driving assistance coefficient, and calculate the intelligent driving assistance coefficient value of each sub-text, which is specifically expressed as: , FA i Indicates the intelligent driving assistance coefficient value of the i-th subtext, Fd i represents the automatic following distance adjustment accuracy of the i-th subtext, Fj i represents the lane keeping system deviation correction distance of the i-th subtext, Fz i Indicates the adaptive cruise speed adjustment frequency of the i-th subtext.

[0011] Preferably, the tram communication calculation unit is used to establish a mathematical model of the tram communication coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the tram communication coefficient, and calculate the tram communication coefficient value of each subtext, which is specifically expressed as: , TA i represents the tram communication coefficient value of the i-th subtext, Tq i Indicates the vehicle network signal strength value of the i-th subtext, Tx i represents the remote control response time of the i-th subtext, Tj i represents the communication distance between the vehicle of the i-th subtext and other vehicles, and n represents the number of subtexts.

[0012] Preferably, the in-vehicle environment calculation unit is used to establish a mathematical model of the in-vehicle environment coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the in-vehicle environment coefficient, and calculate the in-vehicle environment coefficient value of each subtext, which is specifically expressed as: , HA i Indicates the in-vehicle environment coefficient value of the i-th subtext, Hf i Hw represents the decibel value of the car noise of the i-th subtext. i Indicates the seat temperature adjustment range of the i-th subtext, Hs i Represents the air molecule concentration value inside the car of the i-th subtext.

[0013] Preferably, the safety performance calculation unit is used to establish a mathematical model of the safety performance coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the safety performance coefficient, and calculate the safety performance coefficient value of each sub-text, which is specifically expressed as: , QAi represents the safety performance coefficient value of the i-th subtext, Qy i represents the airbag deployment pressure value of the i-th subtext, Qj i Indicates the collision warning distance accuracy of the i-th subtext, Qs i represents the emergency braking deceleration of the i-th subtext, and n represents the number of subtexts.

[0014] Preferably, the comprehensive calculation unit is used to establish a whole vehicle mathematical model, import the first key text reply value in the electric vehicle information analysis module into the whole vehicle mathematical model, and calculate the comprehensive key text reply value, which is specifically expressed as: , , η represents the comprehensive key text response value, μ i Indicates the subtext key text response value, FA i Represents the intelligent driving assistance coefficient value of the i-th subtext, TA i represents the tram communication coefficient value of the i-th subtext, HA i represents the in-vehicle environment coefficient value of the i-th subtext, QA i represents the safety performance coefficient value of the i-th sub-text, α1, α2, α3, α4 represent weight coefficients, and θ represents other influencing factors of the comprehensive key text response value.

[0015] Preferably, the preset comprehensive key text threshold is a value evaluated based on historical information; the specific determination is as follows: B1: If the comprehensive key text response value is greater than the preset comprehensive key text threshold, the system issues a danger signal; B2: If the comprehensive key text response value is less than the preset comprehensive key text threshold, the system sends a safety signal.

[0016] Preferably, the preset reply modes are: text reply, image reply and voice reply.

[0017] Technical effects and advantages of the present invention: 1. The present invention obtains the first vehicle text of the target pure electric vehicle equipment through the electric vehicle information acquisition module, and determines it as the target text, and filters out various subtexts from the target text; through the preprocessing module, it is used to perform preprocessing operations on the target text to analyze and obtain the first key text, thereby improving the data quality, removing abnormal values ​​and filling missing values, and ensuring that the data is accurate and reliable; the first key text is selected through the data of any subtext in the target text, and then the first key text is analyzed to obtain the first key text reply value, so as to find the problems existing in the operation process of the electric vehicle intelligent interconnection vehicle, which is helpful for the subsequent system to provide an important basis for the analysis of the electric vehicle intelligent interconnection vehicle, and improve the comprehensiveness of the analysis of the electric vehicle intelligent interconnection vehicle; 2. The present invention uses a comprehensive analysis module to comprehensively analyze various coefficient values ​​according to a mathematical model, and calculates a comprehensive key text response value, which helps to present more intuitive effects and data accuracy to relevant managers, facilitating decision-making; and uses a data discrimination module to compare the comprehensive key text response value with the preset comprehensive key text threshold in the actual process, which helps to improve the accuracy of the electric vehicle intelligent interconnection vehicle; 3. The present invention can detect the warning signal issued by the system in real time through the early warning module. Once a danger signal is received, the system will feed back the processing result to the management personnel; it helps to improve the practicality and safety of the electric vehicle intelligent interconnection vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0018] Figure 1 It is a schematic diagram of the system structure of the present invention.

[0019] Figure 2 It is a schematic diagram of the overall structure of the present invention. DETAILED DESCRIPTION

[0020] The following will be combined with the drawings in the embodiments of the present invention to clearly and completely describe the technical solutions in the embodiments of the present invention. Obviously, the described embodiments are only part of the embodiments of the present invention, not all of the embodiments. Based on the embodiments of the present invention, all other embodiments obtained by ordinary technicians in this field without creative work are within the scope of protection of the present invention.

[0021] The terms used in the following embodiments of the present application are only for the purpose of describing specific embodiments, and are not intended to be used as limitations to the present application. As used in the specification of the present application, the singular expressions "one", "a kind of", "said", "above", "the" and "this" are intended to also include plural expressions, unless there is a clear indication to the contrary in the context. It should also be understood that the term "and / or" used in the present application refers to and includes any or all possible combinations of one or more listed items.

[0022] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of the indicated technical features. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features, and in the description of the embodiments of the present application, unless otherwise specified, "plurality" means two or more.

[0023] In order to enable those skilled in the art to better understand the technical solution of the present invention, the present invention will be further described in detail below with reference to the accompanying drawings.

[0024] As attached Figure 1 Shown in the figure is a schematic diagram of the structure of a pure electric vehicle intelligent interconnected vehicle control system, including a tram information acquisition module, a preprocessing module, a tram information collection module, a tram information analysis module, a comprehensive analysis module, a data judgment module and an early warning module.

[0025] As attached Figure 2 Shown in the figure is a schematic diagram of the overall structure of a pure electric vehicle intelligent interconnected vehicle control system, a system database, a system processor and a system information terminal.

[0026] The output end of the tram information acquisition module is connected to the input end of the tram information collection module, the output end of the tram information collection module is connected to the input end of the preprocessing module, the output end of the preprocessing module is connected to the input end of the tram information analysis module, the output end of the tram information analysis module is connected to the input end of the comprehensive analysis module, the output end of the comprehensive analysis module is connected to the input end of the data discrimination module, and the output end of the data discrimination module is connected to the input end of the early warning module.

[0027] The system database stores all vehicle texts of the target pure electric vehicle equipment; the system processor is used to control all operating instructions and data processing instructions of each module; and the system information terminal is used to receive the processing equipment of the optimized system.

[0028] Electric vehicle information acquisition module: In response to the AI ​​control operation of the smart connected vehicle, the first vehicle text of the target pure electric vehicle device is obtained, the first vehicle text is determined as the target text, and the target text is filtered out to obtain each sub-text, and they are labeled i=1, 2,..., n in sequence.

[0029] In this embodiment, it should be specifically noted that the manager can perform AI control operations on the corresponding terminal devices. The types of intelligent terminal devices mainly include: PC terminals, computer terminals, and tablet terminals; managers can obtain target pure electric vehicle devices in a variety of ways, including but not limited to: text, video, and image. This embodiment does not limit the AI ​​terminal devices and the method of obtaining the target pure electric vehicle devices.

[0030] Preprocessing module: used to perform preprocessing analysis on the target text to obtain the first key text.

[0031] In this embodiment, specifically, the specific steps for preprocessing the target text are as follows: A1: Target text cleaning: Remove special characters, punctuation marks, and numbers; convert the case, and unify the target text to uppercase or lowercase for subsequent processing; A2: Stop word removal: Filter out common words that contribute less to the analysis of the target text from each sub-text, such as "de", "di", "shi", "zai", etc.; A3: Text standardization: According to the Z-score standardization method, perform data standardization processing on the target text to obtain the first key text.

[0032] Tram information collection module: used to select data for any sub-text in the target text based on the first key text.

[0033] In this embodiment, specifically, the first key text specifically includes: the automatic following distance adjustment accuracy denoted as Fd, the lane keeping system deviation correction distance denoted as Fj, the adaptive cruise speed adjustment frequency denoted as Fz, the vehicle networking signal strength value denoted as Tq, the remote control response time denoted as Tx, the communication distance between vehicles denoted as Tj, the in-vehicle noise decibel value denoted as Hf, the seat temperature adjustment range denoted as Hw, the in-vehicle air molecule concentration value denoted as Hs, the airbag deployment pressure value denoted as Qy, the collision warning distance accuracy denoted as Qj, and the emergency braking deceleration denoted as Qs; In this embodiment, it should be specifically noted that the automatic following distance adjustment accuracy, the adaptive cruise speed adjustment frequency, and the collision warning distance accuracy are all collected through sensors such as vehicle-mounted radars or cameras. These sensors are usually installed near the front bumper of the vehicle or above the windshield to detect the distance to the vehicle in front and the distance between the vehicle and the obstacle in front, and transmit the data to the vehicle control system for adjustment. The lane keeping system deviation correction interval is mainly determined by the camera or sensor installed above the windshield to monitor the position of the vehicle in the lane. The lane line is identified to determine whether the vehicle deviates and correct it when necessary. Data collection and processing are completed by the vehicle control system. The vehicle network signal strength value is collected by a vehicle-mounted communication module usually installed in the center console or trunk of the vehicle. The module is connected to the external communication network to receive and send data to determine the signal strength. The data collection of the remote control response time depends on the remote communication system and the vehicle control system distributed in different locations of the vehicle. When a remote control command is received, the system records the time interval from the issuance of the command to the vehicle performing the corresponding operation. The communication distance between the vehicle and other vehicles is collected by the vehicle networking communication equipment and related sensors located near the vehicle networking signal strength value acquisition module, which is used to communicate with surrounding vehicles and determine the communication range. The decibel value of the noise in the car can be collected by noise sensors installed in different locations in the car, such as the center console, near the seat, etc., to comprehensively monitor the noise level in the car. The data collection of the seat temperature adjustment range is realized by the heating and cooling elements and temperature sensors installed inside the seat, which are used to adjust and monitor the seat temperature. The humidity value in the car is collected by the vehicle humidity sensor that can be installed near the air circulation system in the car or in the center console, etc., to monitor the humidity of the air in the car. The airbag ejection pressure value is collected by the pressure sensor installed inside the airbag module. When a collision occurs, the sensor detects a specific pressure change and triggers the airbag to eject. The emergency braking deceleration is collected by the sensor installed in the braking system. When the vehicle performs emergency braking, the sensor detects the vehicle's deceleration and feeds it back to the control system.

[0034] Electric vehicle information analysis module: obtains the corresponding first key text response value according to the first key text analysis; includes an intelligent driving assistance calculation unit, an electric vehicle communication calculation unit, an in-vehicle environment calculation unit and a safety performance calculation unit.

[0035] In this embodiment, it should be specifically explained that the first key text reply value includes the intelligent driving assistance coefficient value of each sub-text, the electric vehicle communication coefficient value of each sub-text, the in-vehicle environment coefficient value of each sub-text and the safety performance coefficient value of each sub-text.

[0036] In this embodiment, it should be specifically explained that the intelligent driving assistance calculation unit is used to establish a mathematical model of the intelligent driving assistance coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the intelligent driving assistance coefficient, and calculate the intelligent driving assistance coefficient value of each sub-text, which is specifically expressed as: , FA i Indicates the intelligent driving assistance coefficient value of the i-th subtext, Fd i represents the automatic following distance adjustment accuracy of the i-th subtext, Fj i represents the lane keeping system deviation correction distance of the i-th subtext, Fz i Indicates the adaptive cruise speed adjustment frequency of the i-th subtext.

[0037] In this embodiment, it should be specifically explained that the tram communication calculation unit is used to establish a mathematical model of the tram communication coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the tram communication coefficient, and calculate the tram communication coefficient value of each subtext, which is specifically expressed as: , TA i represents the tram communication coefficient value of the i-th subtext, Tq i Indicates the vehicle network signal strength value of the i-th subtext, Tx i represents the remote control response time of the i-th subtext, Tj i represents the communication distance between the vehicle of the i-th subtext and other vehicles, and n represents the number of subtexts.

[0038] In this embodiment, it should be specifically explained that the in-vehicle environment calculation unit is used to establish a mathematical model of the in-vehicle environment coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the in-vehicle environment coefficient, and calculate the in-vehicle environment coefficient value of each sub-text, which is specifically expressed as: , HA i Indicates the in-vehicle environment coefficient value of the i-th subtext, Hf i Hw represents the decibel value of the car noise of the i-th subtext. i Indicates the seat temperature adjustment range of the i-th subtext, Hs i Represents the air molecule concentration value inside the car of the i-th subtext.

[0039] In this embodiment, it should be specifically explained that the safety performance calculation unit is used to establish a mathematical model of the safety performance coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the safety performance coefficient, and calculate the safety performance coefficient value of each sub-text, which is specifically expressed as: , QA i represents the safety performance coefficient value of the i-th subtext, Qy i represents the airbag deployment pressure value of the i-th subtext, Qj i Indicates the collision warning distance accuracy of the i-th subtext, Qs i represents the emergency braking deceleration of the i-th subtext, and n represents the number of subtexts.

[0040] Comprehensive analysis module: obtains a comprehensive key text reply value according to the first key text reply value in the tram information analysis module; including a comprehensive calculation unit; In this embodiment, it should be specifically explained that the comprehensive calculation unit is used to establish a whole vehicle mathematical model, import the first key text reply value in the electric vehicle information analysis module into the whole vehicle mathematical model, and calculate the comprehensive key text reply value, which is specifically expressed as: , , η represents the comprehensive key text response value, μ i Indicates the subtext key text response value, FA i Represents the intelligent driving assistance coefficient value of the i-th subtext, TA i represents the tram communication coefficient value of the i-th subtext, HA i represents the in-vehicle environment coefficient value of the i-th subtext, QA i represents the safety performance coefficient value of the i-th sub-text, α1, α2, α3, α4 represent weight coefficients, and θ represents other influencing factors of the comprehensive key text response value.

[0041] Data discrimination module: compares the comprehensive key text response value with the preset comprehensive key text threshold in the actual process and transmits the judgment result to the early warning module.

[0042] In this embodiment, it should be specifically noted that the preset comprehensive key text threshold is a value evaluated based on historical information; the specific determination is as follows: B1: If the comprehensive key text response value is greater than the preset comprehensive key text threshold, the system issues a danger signal; B2: If the comprehensive key text reply value is less than the preset comprehensive key text threshold, the system sends a safety signal; Early warning module: Based on the signal in the data identification module, it is sent to the corresponding manager of the target pure electric vehicle in a preset response method.

[0043] In this embodiment, it is specifically necessary to explain that the preset reply modes are: text reply, image reply and voice reply.

[0044] The present invention obtains the first vehicle text of the target pure electric vehicle equipment through the electric vehicle information acquisition module, determines it as the target text, and filters out various subtexts from the target text; through the preprocessing module, it is used to perform preprocessing operation analysis on the target text to obtain the first key text, thereby improving the data quality, removing abnormal values ​​and filling missing values, and ensuring that the data is accurate and reliable; thereafter, the first key text is selected through the data of any subtext in the target text, and then the first key text is analyzed to obtain the first key text reply value, so as to discover the problems existing in the operation process of the electric vehicle intelligent interconnection vehicle, which is helpful to provide an important basis for the subsequent system to analyze the electric vehicle intelligent interconnection vehicle, and provide It improves the comprehensiveness of the analysis of the entire vehicle of electric vehicle intelligence and interconnection; through the comprehensive analysis module, the various coefficient values ​​of the analysis are comprehensively analyzed according to the mathematical model, and the comprehensive key text response value is calculated, which helps to present more intuitive results and data accuracy to relevant managers and facilitates decision-making; through the data discrimination module, it is used to compare the comprehensive key text response value with the preset comprehensive key text threshold in the actual process, which helps to improve the accuracy of the entire vehicle of electric vehicle intelligence and interconnection; through the early warning module, the early warning signal issued by the system can be detected in real time. Once a danger signal is received, the system will feedback the processing result to the manager; it helps to improve the practicality and safety of the entire vehicle of electric vehicle intelligence and interconnection.

[0045] Secondly, in the drawings of the embodiments disclosed in the present invention, only the structures related to the embodiments disclosed in the present invention are involved, and other structures can refer to the general design. In the absence of conflict, the same embodiment and different embodiments of the present invention can be combined with each other; The above description is only a preferred embodiment of the present invention and is not intended to limit the present invention. Any modifications, equivalent substitutions, improvements, etc. made within the spirit and principle of the present invention should be included in the protection scope of the present invention.

Claims

1. A pure electric vehicle intelligent interconnected vehicle control system, including a system database, a system processor and a system information terminal, characterized in that: Also includes: Tram information acquisition module, preprocessing module, tram information collection module, tram information analysis module, comprehensive analysis module, data identification module and early warning module; The system database is used to store all vehicle texts of the target pure electric vehicle equipment; the system processor is used to control all operating instructions and data processing instructions of each module; the system information terminal is used to receive the processing equipment of the optimized system; The electric vehicle information acquisition module: in response to the AI ​​control operation of the smart interconnected vehicle, acquires a first vehicle text of the target pure electric vehicle device, the first vehicle text is determined as the target text, and the target text is filtered out to obtain each subtext, and the subtexts are labeled as i=1, 2, ..., n in sequence; The preprocessing module is used to perform preprocessing analysis on the target text to obtain a first key text; The tram information collection module is used to select data of the first key text for any sub-text in the target text; The tram information analysis module: obtains a corresponding first key text reply value according to the first key text analysis; It includes intelligent driving assistance computing unit, electric vehicle communication computing unit, in-vehicle environment computing unit and safety performance computing unit; The comprehensive analysis module: obtains a comprehensive key text reply value according to the first key text reply value in the tram information analysis module; Including integrated computing unit; The data identification module is used to compare the comprehensive key text response value with the preset comprehensive key text threshold value in the actual process and transmit the judgment result to the early warning module; The early warning module sends the signal in the data identification module to the management personnel corresponding to the target pure electric vehicle in a preset reply mode.

2. According to claim 1, a pure electric vehicle intelligent interconnected vehicle control system is characterized in that: The obtaining of the first key text specifically includes: The automatic following distance adjustment accuracy is denoted as Fd, the lane keeping system deviation correction interval is denoted as Fj, the adaptive cruise speed adjustment frequency is denoted as Fz, the vehicle network signal strength value is denoted as Tq, the remote control response time is denoted as Tx, the communication distance between the vehicle and other vehicles is denoted as Tj, the decibel value of the noise inside the car is denoted as Hf, the seat temperature adjustment range is denoted as Hw, the air molecule concentration value inside the car is denoted as Hs, the airbag pop-up pressure value is denoted as Qy, the collision warning distance accuracy is denoted as Qj and the emergency braking deceleration is denoted as Qs.

3. According to claim 1, a pure electric vehicle intelligent interconnected vehicle control system is characterized by: The intelligent driving assistance calculation unit is used to establish a mathematical model of the intelligent driving assistance coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the intelligent driving assistance coefficient, and calculate the intelligent driving assistance coefficient value of each sub-text, which is specifically expressed as: ， FA i Indicates the intelligent driving assistance coefficient value of the i-th subtext, Fd i represents the automatic following distance adjustment accuracy of the i-th subtext, Fj i represents the lane keeping system deviation correction distance of the i-th subtext, Fz i Indicates the adaptive cruise speed adjustment frequency of the i-th subtext.

4. The intelligent interconnected vehicle control system for a pure electric vehicle according to claim 1, characterized in that: The tram communication calculation unit is used to establish a mathematical model of the tram communication coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the tram communication coefficient, and calculate the tram communication coefficient value of each subtext, which is specifically expressed as: ， TA i represents the tram communication coefficient value of the i-th subtext, Tq i Indicates the vehicle network signal strength value of the i-th subtext, Tx i represents the remote control response time of the i-th subtext, Tj i represents the communication distance between the vehicle of the i-th subtext and other vehicles, and n represents the number of subtexts.

5. The intelligent interconnected vehicle control system for a pure electric vehicle according to claim 1, characterized in that: The in-vehicle environment calculation unit is used to establish a mathematical model of the in-vehicle environment coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the in-vehicle environment coefficient, and calculate the in-vehicle environment coefficient value of each sub-text, which is specifically expressed as: ， HA i Indicates the in-vehicle environment coefficient value of the i-th subtext, Hf i Hw represents the decibel value of the car noise of the i-th subtext. i Indicates the seat temperature adjustment range of the i-th subtext, Hs i Represents the air molecule concentration value inside the car of the i-th subtext.

6. The intelligent interconnected vehicle control system for a pure electric vehicle according to claim 1, characterized in that: The safety performance calculation unit is used to establish a mathematical model of the safety performance coefficient, import the first key text obtained by the tram information collection module into the mathematical model of the safety performance coefficient, and calculate the safety performance coefficient value of each sub-text, which is specifically expressed as: ， QA i represents the safety performance coefficient value of the i-th subtext, Qy i represents the airbag deployment pressure value of the i-th subtext, Qj i Indicates the collision warning distance accuracy of the i-th subtext, Qs i represents the emergency braking deceleration of the i-th subtext, and n represents the number of subtexts.

7. The intelligent interconnected vehicle control system for a pure electric vehicle according to claim 1, characterized in that: The comprehensive calculation unit is used to establish a whole vehicle mathematical model, import the first key text reply value in the electric vehicle information analysis module into the whole vehicle mathematical model, and calculate the comprehensive key text reply value, which is specifically expressed as: ， ， η represents the comprehensive key text response value, μ i Indicates the subtext key text response value, FA i Represents the intelligent driving assistance coefficient value of the i-th subtext, TA i represents the tram communication coefficient value of the i-th subtext, HA i represents the in-vehicle environment coefficient value of the i-th subtext, QA i represents the safety performance coefficient value of the i-th sub-text, α1, α2, α3, α4 represent weight coefficients, and θ represents other influencing factors of the comprehensive key text response value.

8. The intelligent interconnected vehicle control system for a pure electric vehicle according to claim 1, characterized in that: The preset comprehensive key text threshold is a value evaluated based on historical information; the specific determination is as follows: B1: If the comprehensive key text response value is greater than the preset comprehensive key text threshold, the system issues a danger signal; B2: If the comprehensive key text response value is less than the preset comprehensive key text threshold, the system sends a safety signal.

9. The intelligent interconnected vehicle control system for a pure electric vehicle according to claim 1, characterized in that: The preset reply modes include text reply, image reply and voice reply.

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