An output torque auxiliary control system for intelligent networked electric vehicles

Abstract

The present invention provides an intelligent networked electric vehicle output torque auxiliary control system, including a server, an electric vehicle, a collection module, an evaluation module, and a road sensing module. The collection module is used to collect the rotation speed of the electric vehicle motor and determine the real-time torque of the electric vehicle according to the rotation speed. The road sensing module is used to sense the position of other vehicles in the driving direction of the electric vehicle. The evaluation module evaluates the real-time torque data of the collection module and the state of the signal light measured by the road sensing module and the position data of other electric vehicles on the same lane to form an evaluation result, and triggers the torque of the electric vehicle motor to be regulated according to the evaluation result. The present invention achieves the best interactivity and riding comfort during the driving process of the electric vehicle through the mutual cooperation of the collection module, the road sensing module and the evaluation module, so that the electric vehicle has the advantages of high intelligence and adaptive adjustment according to real-time road conditions.

Description

Technical Field

[0001] The present invention relates to the technical field of devices for controlling the speed or torque of a single motor, and in particular to an output torque auxiliary control system for an intelligent networked electric vehicle. Background Art

[0002] In the related art, the vehicle controller can adjust the output torque of the motor in real time through the PI (Proportion Integration) controller according to the current speed of the electric vehicle and the target speed under the cruise control to realize the vehicle cruise control function. Among them, the current output torque of the motor is related to the motor output torque at the previous sampling moment, and is also related to the preset proportional parameter and integral parameter of the PI controller.

[0003] For example, CN107487324B discloses a method and device for controlling the torque of an electric vehicle. However, in the actual adjustment process, there are certain limitations in adjusting the output torque of the motor by fixed proportional parameters and integral parameters. If the proportional parameter is set larger, the electric vehicle can reach the target speed faster during the adjustment process, but the absolute value of the acceleration during driving is larger, giving the user in the car a feeling of rapid acceleration or deceleration, and the driving performance is unsatisfactory.

[0004] Another typical prior art, such as 201510859954.2, is a torque filter control method for a vehicle controller, which includes the steps of (1) obtaining time parameters and torque parameters; (2) judging the relationship between filtering time and period; (3) judging the torque relationship; (4) saving filtering time and filtering torque information. However, due to not considering different torque change states and motor working modes, this torque output is still not smooth enough under different working conditions, and it is difficult to meet the requirements of vehicle driving smoothness and comfort.

[0005] The present invention is made to solve the common problems in the field such as low intelligence, inability to adaptively adjust according to road conditions, poor interaction, poor riding comfort and poor driving smoothness of electric vehicles. Summary of the invention

[0006] The purpose of the present invention is to propose an output torque auxiliary control system for an intelligent networked electric vehicle in view of the current deficiencies.

[0007] In order to overcome the shortcomings of the prior art, the present invention adopts the following technical solutions:

[0008] An output torque auxiliary control system for an intelligent networked electric vehicle, the output torque auxiliary control system comprising a server and an electric vehicle, the output torque auxiliary control system further comprising a collection module, an evaluation module, and a road sensing module, the server being connected to the collection module, the evaluation module, and the road sensing module respectively;

[0009] The acquisition module is used to acquire the rotation speed of the electric vehicle motor and determine the real-time torque of the electric vehicle according to the rotation speed. The road sensing module is used to sense the positions of other vehicles in the driving direction of the electric vehicle to obtain the state of the signal light and the position data of other vehicles on the same lane. The evaluation module evaluates the real-time torque calculated by the acquisition module and the state of the signal light and the position data of other electric vehicles on the same lane measured by the road sensing module to form an evaluation result, and triggers the torque control of the electric vehicle motor according to the evaluation result.

[0010] Wherein, the acquisition module, the road sensing module and the evaluation module are all arranged on the electric vehicle;

[0011] The road sensing module includes a road sampling unit, an interaction unit and a road analysis unit. The road sensing unit is used to sense the positions of other vehicles in the same lane as the electric vehicle. The interaction unit interacts with the traffic lights on the driving path of the electric vehicle to obtain the status of the traffic lights on the driving path of the electric vehicle. The road analysis unit analyzes the distance of other vehicles according to the data of the road sensing unit.

[0012] The evaluation module includes an evaluation unit and a control unit. The evaluation unit performs evaluation based on the real-time torque calculated by the acquisition module, the state of the traffic light measured by the road sensing module, and the position data of other vehicles on the same lane. The control unit triggers the control of the torque of the electric vehicle motor according to the evaluation result of the evaluation unit.

[0013] Optionally, the road sensing unit includes a millimeter wave radar and a communicator, the millimeter wave radar detects other vehicles around the electric vehicle, and the communicator transmits position data of other vehicles detected by the millimeter wave radar to a central controller of the electric vehicle;

[0014] The road sensing unit is arranged around the electric vehicle to sample the positions of other vehicles around the electric vehicle.

[0015] Optionally, the acquisition module includes a motor parameter acquisition unit, a torque acquisition unit and a data transmission unit, wherein the motor parameter acquisition unit is used to acquire parameters of the motor of the electric vehicle, the torque acquisition unit acquires the rotation speed of the electric vehicle and determines the real-time torque of the electric vehicle according to the rotation speed, and the data transmission unit transmits the real-time torque of the electric vehicle determined by the torque sampling unit according to the rotation speed to the evaluation module;

[0016] Wherein, the torque acquisition unit includes an electromagnetic induction vehicle speed sensor and a data storage device, wherein the electromagnetic induction vehicle speed sensor is used to collect the speed of the electric vehicle motor, and the data storage device stores the speed data of the electromagnetic induction vehicle speed sensor;

[0017] Wherein, the electromagnetic induction vehicle speed sensor is arranged on the output shaft of the electric vehicle motor and collects the rotation speed data of the output shaft.

[0018] Optionally, the road analysis unit obtains the measurement value collected by the millimeter wave radar of the road sensing unit, and calculates the distance value D between the electric vehicle and the nearest vehicle in front in the current lane according to the following formula:

[0019]

[0020] Wherein, C is the speed of radar transmission, and T_delay is the time difference between the transmission and reception of electromagnetic waves by the millimeter wave radar.

[0021] Optionally, the torque acquisition unit determines the real-time torque T0 at the output shaft of the electric vehicle motor according to the rotation speed of the electric vehicle motor and the following formula:

[0022]

[0023] Wherein, η is the proportional coefficient, and its value is directly determined according to the parameters of the motor, V is the real-time voltage of the electric vehicle motor, and its value is directly obtained according to the motor parameter unit, I is the real-time current of the electric vehicle motor, and its value is directly obtained according to the motor parameter unit, and W is the motor speed detected by the torque acquisition unit.

[0024] Optionally, the evaluation unit obtains the analysis result of the road analysis unit and the torque acquisition unit determines the real-time torque T0 at the output shaft of the electric vehicle motor, and calculates the control index Regulation according to the following formula:

[0025]

[0026] Where D is the distance between the electric vehicle and other vehicles in the current lane, △S is the safe distance between the electric vehicle and the vehicle in front, and V 自身 is the speed of the electric vehicle, τ is the control coefficient, and satisfies: τ = lg (T0);

[0027] If the regulation index Regulation exceeds a set control range Range, the regulation unit is triggered to regulate the torque of the electric vehicle motor.

[0028] Optionally, the control unit controls the torque of the electric vehicle motor through a proportional-integral controller.

[0029] The beneficial effects achieved by the present invention are:

[0030] 1. Through the cooperation between the interactive unit and the road sampling unit, the electric vehicle can dynamically grasp the road conditions and traffic flow data of the current road, so as to improve the electric vehicle's adaptive speed control and control strategy;

[0031] 2. Through the cooperation of the road analysis unit and the road sampling unit, the distance of other vehicles around the driving path of the electric vehicle can be detected to improve the safety and reliability of the electric vehicle;

[0032] 3. Through the cooperation between the motor parameter acquisition unit and the torque acquisition unit, the real-time parameters of the electric vehicle's motor and the real-time speed data of the motor are accurately collected to improve the accuracy of the electric vehicle's own parameter detection;

[0033] 4. Through the cooperation between the control unit and the evaluation unit, the electric vehicle can obtain the best interactivity and riding comfort during driving, making the electric vehicle highly intelligent and able to adaptively adjust according to real-time road conditions. BRIEF DESCRIPTION OF THE DRAWINGS

[0034] The present invention can be further understood from the following description in conjunction with the accompanying drawings. The components in the figures are not necessarily drawn to scale, but the emphasis is placed on illustrating the principles of the embodiments. In different views, the same reference numerals designate corresponding parts.

[0035] Figure 1 It is an overall block diagram of the present invention.

[0036] Figure 2 It is a block diagram of the motor parameter acquisition unit, the torque acquisition unit and the data transmission unit of the present invention.

[0037] Figure 3 It is a schematic diagram of the block structure of the electric vehicle, the road sampling unit and the interaction unit of the present invention.

[0038] Figure 4 It is a schematic diagram of the evaluation process of the evaluation unit of the present invention.

[0039] Figure 5 It is a schematic diagram of application scenarios of the electric vehicle of the present invention and other electric vehicles.

[0040] Figure 6 It is a schematic diagram of the structure of the traffic signal light and the interaction unit of the present invention.

[0041] Figure 7 for Figure 6 A magnified schematic diagram of center A.

[0042] Explanation of the accompanying figures: 1. Electric vehicle; 2. Other electric vehicles; 3. Traffic lights; 4. Interactor; 5. Millimeter-wave radar. DETAILED DESCRIPTION

[0043] The following is an explanation of the embodiments of the present invention through specific embodiments. Those skilled in the art can understand the advantages and effects of the present invention from the contents disclosed in this specification. The present invention can be implemented or applied through other different specific embodiments, and the details in this specification can also be modified and changed in various ways based on different viewpoints and applications without departing from the spirit of the present invention. In addition, the drawings of the present invention are only simple schematic illustrations and are not depicted according to actual sizes. It is stated in advance. The following embodiments will further explain the relevant technical contents of the present invention in detail, but the disclosed contents are not intended to limit the scope of protection of the present invention.

[0044] Embodiment 1:

[0045] according to Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 As shown, this embodiment provides an output torque auxiliary control system for an intelligent networked electric vehicle, the output torque auxiliary control system includes a server and an electric vehicle, the output torque auxiliary control system also includes a collection module, an evaluation module, and a road sensing module, the server is connected to the collection module, the evaluation module and the road sensing module respectively;

[0046] The acquisition module is used to acquire the rotation speed of the electric vehicle motor and determine the real-time torque of the electric vehicle according to the rotation speed. The road sensing module is used to sense the positions of other vehicles in the driving direction of the electric vehicle to obtain the state of the traffic lights at the road intersection and the position data of other vehicles on the same lane. The evaluation module evaluates the real-time torque calculated by the acquisition module and the state of the traffic lights and the position data of other electric vehicles on the same lane measured by the road sensing module to form an evaluation result, and triggers the torque regulation of the electric vehicle motor according to the evaluation result.

[0047] Wherein, the acquisition module, the road sensing module and the evaluation module are all arranged on the electric vehicle;

[0048] The torque output auxiliary control system further includes a central processor, which is respectively connected to the acquisition module, the evaluation module, and the road sensing module, and centrally controls the acquisition module based on the central processor;

[0049] Wherein, the central processor is arranged on the central control platform of the electric vehicle, and controls or provides interaction with the central control platform of the electric vehicle 1;

[0050] The road sensing module includes a road sampling unit, an interaction unit and a road analysis unit. The road sensing unit is used to sense the position of other electric vehicles 2 in the same lane as the electric vehicle 1. The interaction unit interacts with the state of the electric vehicle on the driving path to obtain the state of the traffic light 3 on the driving path of the electric vehicle 1. The road analysis unit analyzes the distance of other vehicles according to the data of the road sensing unit.

[0051] Optionally, the road sensing unit includes a millimeter wave radar 5 and a communicator, the millimeter wave radar 5 detects obstacles around the electric vehicle, and the communicator transmits obstacle data detected by the millimeter wave radar 5 to a central controller of the electric vehicle 1;

[0052] Wherein, the road sensing unit is arranged around the electric vehicle 1 to sample the positions of other vehicles around the electric vehicle 1;

[0053] The interaction unit includes an interactor 4 and a communication transmitter. The interactor 4 is used to interact with the passing electric vehicle 1 to obtain status data of the current road, wherein the status data includes whether the traffic flow of each lane of the road is smooth or congested. The communication transmitter is used to transmit the traffic flow data collected by the interactor 4 to the electric vehicle 1 entering the interaction range, so that the electric vehicle 1 can dynamically grasp whether the traffic flow of the current road is congested or smooth.

[0054] It is worth noting that when the electric vehicle enters the interactive range of the interactive device 4, the traffic state of the current lane is transmitted to the electric vehicle 1 through the communication transmitter, so that the electric vehicle 1 can perform control operations of deceleration or constant speed driving, so as to improve the intelligent control level of the electric vehicle 1;

[0055] Through the cooperation between the interaction unit and the road sensing unit, the electric vehicle 1 can dynamically grasp the road conditions and traffic flow data of the current driving road, so as to improve the adaptive speed control and control strategy of the electric vehicle 1;

[0056] The interactor 4 and the communication transmitter are arranged beside each road, and interact with the passing electric vehicle 1 to achieve synchronization of intersection data;

[0057] Optionally, the road analysis unit obtains the measurement value collected by the millimeter wave radar of the road sensing unit, and calculates the distance value D between the electric vehicle and the nearest vehicle in front in the current lane according to the following formula:

[0058]

[0059] Wherein, C is the speed of radar transmission, T_delay is the time difference between the transmission and reception of electromagnetic waves by the millimeter wave radar;

[0060] In this embodiment, the road sensing unit is installed on the front side or the rear side of the electric vehicle to sense obstacles (other electric vehicles or pedestrians on the roadside, etc.) on the front side and the rear side of the electric vehicle;

[0061] In addition, in this embodiment, the millimeter wave radar 5 is preferably used, and those skilled in the art may use other radars or sensors;

[0062] Through the cooperation of the road analysis unit and the road sensing unit, the distance of obstacles around the driving path of the electric vehicle 1 can be detected, so as to improve the driving safety and reliability of the electric vehicle 1;

[0063] In this embodiment, the acquisition module is arranged on the electric vehicle 1, and acquires the parameters of the motor of the electric vehicle 1 and the torque, and transmits the acquired motor parameters and the calculated real-time torque to the evaluation module for evaluation;

[0064] Optionally, the acquisition module includes a motor parameter acquisition unit, a torque acquisition unit and a data transmission unit, wherein the motor parameter acquisition unit is used to acquire parameters of the motor of the electric vehicle 1, the torque acquisition unit acquires the torque of the electric vehicle 1, and the data transmission unit transmits the data acquired by the torque sampling unit to the evaluation module;

[0065] Wherein, the torque acquisition unit includes an electromagnetic induction vehicle speed sensor and a data storage device, wherein the electromagnetic induction vehicle speed sensor is used to collect the speed of the motor of the electric vehicle 1, and the data storage device stores the speed data of the electromagnetic induction vehicle speed sensor;

[0066] Wherein, the electromagnetic induction vehicle speed sensor is arranged on the output shaft of the electric vehicle 1, and collects the rotation speed of the output shaft;

[0067] Optionally, the torque acquisition unit determines the real-time torque T0 at the output shaft of the electric vehicle motor according to the rotation speed of the electric vehicle motor and the following formula:

[0068]

[0069] Wherein, η is a proportional coefficient, and its value is directly determined according to the parameters of the motor, V is the real-time voltage of the electric vehicle motor, and its value is directly obtained according to the motor parameter unit, I is the real-time current of the electric vehicle motor, and its value is directly obtained according to the motor parameter unit, and W is the motor speed detected by the torque acquisition unit;

[0070] The data transmission unit includes a data transmitter and a device communicator, wherein the device communicator is used to establish a communication channel for the motor parameter acquisition unit, the torque acquisition unit and the evaluation module, and the data transmitter is used to transmit the data of the motor parameter acquisition unit and the torque acquisition unit to the evaluation module through the communication channel, and perform an evaluation operation in the evaluation module;

[0071] In addition, through the cooperation between the motor parameter acquisition unit and the torque acquisition unit, the real-time parameters of the motor of the electric vehicle and the real-time speed data of the motor are accurately collected to improve the accuracy of the electric vehicle's own parameter detection;

[0072] The evaluation module includes an evaluation unit and a control unit. The evaluation unit performs evaluation based on the real-time torque calculated by the acquisition module and the state of the traffic light and the position data of other vehicles on the same lane measured by the road sensing module. The control unit triggers the torque control of the electric vehicle motor according to the evaluation result of the evaluation unit.

[0073] Optionally, the evaluation unit obtains the analysis result of the road analysis unit and the torque acquisition unit determines the real-time torque T0 at the output shaft of the electric vehicle motor, and calculates the control index Regulation according to the following formula:

[0074]

[0075] Where D is the distance between the electric vehicle and other vehicles in the current lane, △S is the safe distance between the electric vehicle and the vehicle in front, and V 自身 is the speed of the electric vehicle, T0 is the real-time torque at the output shaft of the electric vehicle motor, τ is the control coefficient (dimensionless), satisfying: τ = lg (T0);

[0076] If the regulation index Regulation exceeds the set control range Range, the regulation unit is triggered to regulate the torque of the electric vehicle motor;

[0077] If the regulation index Regulation is lower than the set control range Range, it means that the state of the electric vehicle does not exceed the controllable range, and the electric vehicle continues to be monitored;

[0078] The set control range Range is set according to the operator or the system, which is a technical means well known to those skilled in the art. Those skilled in the art can refer to relevant technical manuals to learn about the technology, so it will not be described in detail in this embodiment;

[0079] Optionally, the control unit controls the torque of the electric vehicle motor through a proportional-integral controller; wherein the control algorithm of the proportional-integral controller is a technical means well known to those skilled in the art, and those skilled in the art can refer to relevant technical manuals to learn the technology, so it is not described in detail in this embodiment;

[0080] Through the cooperation between the control unit and the evaluation unit, the electric vehicle can obtain the best interactivity and riding comfort during driving, so that the electric vehicle has the advantages of high intelligence and the ability to adaptively adjust according to real-time road conditions.

[0081] Embodiment 2:

[0082] This embodiment should be understood to include all the features of any of the above embodiments, and further improve upon them. Figure 1 , Figure 2 , Figure 3 , Figure 4 , Figure 5 , Figure 6 , Figure 7 As shown, the road sensing module also includes a congestion monitoring unit, which is used to monitor the road conditions and interact the monitored data with the electric vehicle through communication technology to dynamically adjust the safety distance value between the electric vehicle and other vehicles;

[0083] The congestion monitoring unit includes a monitoring probe, a data communicator, and a support frame supporting the monitoring probe; the support frame is arranged beside each road intersection, and the monitoring probe is used to monitor the lanes of each road; the data communicator transmits the data monitored by the monitoring probe to the electric vehicle passing through the current road, so that the electric vehicle can adjust the current torque control strategy;

[0084] The congestion monitoring unit further includes a monitoring and analysis submodule, which analyzes the state of the road according to the data of the monitoring probe; wherein the monitoring and analysis submodule obtains the data monitored by the monitoring probe and calculates the congestion index Congestion of the current road segment (the result obtained is dimensionless):

[0085]

[0086] Where a represents the length of the vehicle queue, and its value is obtained by analyzing the image of the current road section; b represents the speed limit of the current road section, and its value is obtained according to the actual situation of the current road section; c represents the designed traffic capacity of the current road section, which satisfies: Wherein, f is the average length of vehicles passing through the current road segment (in this example, the average width is set to 5.12 meters. In other embodiments, it can be calculated based on the types of vehicles that frequently pass through the current road segment), safety is the safe distance between vehicles, w is the width of the current road segment, d is the number of lanes in the current road segment, length represents the length of the monitored road segment, and its value is obtained based on the actual situation of the current road segment. Density represents the density of congested vehicles, which satisfies: Q is the number of vehicles stranded on the length of the current road segment, stoptime is the congestion stop time of the vehicles on the current road segment, and its value is obtained according to the actual congestion time of the current road segment (equivalent to the total time from the beginning of congestion to the end of congestion), slope is the slope of the current road segment, and its value is obtained according to the actual situation of the current road segment, and e is a natural constant;

[0087] k1 is the vehicle density coefficient, which indicates the influence of vehicle density on the congestion index. Generally speaking, the higher the vehicle density, the higher the congestion index. Therefore, k1 should be a positive number. The specific value range can be determined based on actual data.

[0088] Generally speaking, it is between 0.1 and 0.5;

[0089] k2 is the vehicle density index, which indicates the degree of influence of vehicle density on the congestion index. Generally speaking, the higher the vehicle density, the higher the congestion index, so k2 should be a positive number, generally between 0.1 and 0.5;

[0090] k3 is the dwell time coefficient, which indicates the influence of the vehicle dwell time on the congestion index. Generally speaking, the longer the dwell time, the higher the congestion index, so k3 should be a positive number, generally between 0.1 and 0.5;

[0091] k4 is the road length coefficient, which indicates the influence of road length on the congestion index. Generally speaking, the longer the road length, the higher the congestion index, so k4 should be a positive number, generally between 0.1 and 0.5;

[0092] k5 is the slope coefficient, which indicates the influence of the road slope on the congestion index. Generally speaking, the greater the slope, the higher the congestion index, so k5 should be a positive number, generally between 0.1 and 0.5;

[0093] The values ​​of k1 to k5 can be obtained by fitting data based on the actual conditions of different road sections, which is a well-known technical method for those skilled in the art, and thus will not be described in detail in this embodiment.

[0094] If the congestion index Congestion exceeds the set evaluation threshold Level, the congestion index Congestion of the current road segment is transmitted to the electric vehicle to trigger the electric vehicle to dynamically adjust the safe distance Safe-_distance:

[0095] Safe_distance=γ·(v·T+L+ΔS)+μ·Congestion;

[0096] Wherein, v is the real-time speed of the electric vehicle, T is the reaction time, which is generally 1-2 seconds, L is the length of the electric vehicle, △S is the safe distance between the electric vehicle and the vehicle in front, γ is the safety factor, which is generally 1.5 to 2, and the specific value is set according to the actual situation, and μ is the distance conversion coefficient, and its value is obtained according to the empirical method;

[0097] The evaluation threshold Level is set or preset by the system, which is a technical means well known to those skilled in the art. Those skilled in the art can refer to relevant technical manuals to learn about the technology, so it will not be described in detail in this embodiment.

[0098] After the safety distance is calculated, the safety distance is transmitted to the evaluation unit to calculate the regulation index Regulation, triggering the regulation unit to regulate the torque of the electric vehicle motor, so as to improve the intelligence of the entire system, and also take into account the safety and reliability of the entire electric vehicle, so as to ensure that the electric vehicle has the advantages of adaptive adjustment according to road conditions, good interactivity and high safety;

[0099] The congestion monitoring unit collects road conditions so that the electric vehicle can be dynamically adjusted under different road conditions to enhance the precise control of the electric vehicle and ensure that passengers obtain optimal safety and riding comfort.

[0100] The contents disclosed above are only preferred feasible embodiments of the present invention, and do not limit the protection scope of the present invention. Therefore, all equivalent technical changes made using the contents of the present invention specification and drawings are included in the protection scope of the present invention. In addition, the elements therein can be updated as technology develops.

Claims

1. An output torque auxiliary control system for an intelligent networked electric vehicle, the output torque auxiliary control system comprising a server and an electric vehicle, characterized in that: The output torque auxiliary control system further comprises a collection module, an evaluation module and a road sensing module, and the server is connected to the collection module, the evaluation module and the road sensing module respectively; The acquisition module is used to acquire the rotation speed of the electric vehicle motor and determine the real-time torque of the electric vehicle according to the rotation speed. The road sensing module is used to sense the positions of other vehicles in the driving direction of the electric vehicle to obtain the state of the traffic lights at the road intersection and the position data of other vehicles on the same lane. The evaluation module evaluates the real-time torque calculated by the acquisition module and the state of the traffic lights and the position data of other electric vehicles on the same lane measured by the road sensing module to form an evaluation result, and triggers the torque regulation of the electric vehicle motor according to the evaluation result. Wherein, the acquisition module, the road sensing module and the evaluation module are all arranged on the electric vehicle; The road sensing module includes a road sensing unit, an interaction unit and a road analysis unit, wherein the road sensing unit is used to sense the positions of other vehicles in the same lane as the electric vehicle, the interaction unit interacts with the traffic lights on the driving path of the electric vehicle to obtain the status of the traffic lights on the driving path of the electric vehicle, and the road analysis unit analyzes the distances of other vehicles according to the data of the road sensing unit; The evaluation module includes an evaluation unit and a control unit. The evaluation unit performs evaluation based on the real-time torque calculated by the acquisition module and the state of the traffic light and the position data of other vehicles on the same lane measured by the road sensing module. The control unit triggers the torque control of the electric vehicle motor according to the evaluation result of the evaluation unit. The road sensing unit includes a millimeter wave radar and a communicator, wherein the millimeter wave radar detects other vehicles around the electric vehicle, and the communicator transmits position data of other vehicles detected by the millimeter wave radar to a central controller of the electric vehicle; Wherein, the road sensing unit is arranged around the electric vehicle to sample the positions of other vehicles around the electric vehicle; The acquisition module includes a motor parameter acquisition unit, a torque acquisition unit and a data transmission unit. The motor parameter acquisition unit is used to acquire parameters of the motor of the electric vehicle. The torque acquisition unit acquires the rotation speed of the electric vehicle and determines the real-time torque of the electric vehicle according to the rotation speed. The data transmission unit transmits the real-time torque of the electric vehicle determined by the torque acquisition unit according to the rotation speed to the evaluation module. Wherein, the torque acquisition unit includes an electromagnetic induction vehicle speed sensor and a data storage device, wherein the electromagnetic induction vehicle speed sensor is used to collect the speed data of the electric vehicle motor, and the data storage device stores the speed data of the electromagnetic induction vehicle speed sensor; Wherein, the electromagnetic induction vehicle speed sensor is arranged on the output shaft of the electric vehicle motor and collects the speed data of the output shaft of the motor; The road analysis unit obtains the measurement value collected by the millimeter wave radar of the road sensing unit, and calculates the distance value D between the electric vehicle and the nearest vehicle in front in the current lane according to the following formula: ； Wherein, C is the speed of radar transmission, T_delay is the time difference between the transmission and reception of electromagnetic waves by the millimeter wave radar; The torque acquisition unit determines the real-time torque T0 at the output shaft of the electric vehicle motor according to the rotation speed of the electric vehicle motor and the following formula: ； Wherein, η is a proportional coefficient, and its value is directly determined according to the parameters of the motor, V is the real-time voltage of the electric vehicle motor, and its value is directly obtained according to the motor parameter unit, I is the real-time current of the electric vehicle motor, and its value is directly obtained according to the motor parameter unit, and W is the motor speed detected by the torque acquisition unit; The evaluation unit obtains the analysis result of the road analysis unit and the torque acquisition unit determines the real-time torque T0 at the output shaft of the electric vehicle motor, and calculates the control index Regulation according to the following formula: ； Where D is the distance between the electric vehicle and other vehicles in the current lane, △S is the safe distance between the electric vehicle and the vehicle in front, and V 自身 is the speed of the electric vehicle, τ is the control coefficient, and satisfies: ; If the regulation index Regulation exceeds the set control range Range, the regulation unit is triggered to regulate the torque of the electric vehicle motor; The road sensing module further includes a congestion monitoring unit, which is used to monitor the road conditions and communicate the monitored data to the electric vehicle through communication technology to dynamically adjust the safety distance value between the electric vehicle and other vehicles; The congestion monitoring unit includes a monitoring probe, a data communicator, and a support frame supporting the monitoring probe; the support frame is arranged beside each intersection, and the lanes of each road are monitored by the monitoring probe, and the data communicator transmits the data monitored by the monitoring probe to the electric vehicle passing through the current road, so that the electric vehicle can adjust the current torque control strategy.

2. The output torque auxiliary control system of an intelligent networked electric vehicle according to claim 1, characterized in that: The control unit controls the torque of the electric vehicle motor through a proportional-integral controller.

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