Energy consumption control method and system based on set mode and vehicle data cooperative working condition

Abstract

The invention provides an energy consumption control method and system based on a set mode and a vehicle data cooperative working condition, relates to the field of Internet of Vehicles and vehicle remote control, and aims to solve the problems that the real-time performance is poor and the efficiency is low when a vehicle driving mode switching mode is controlled through a remote terminal, and the real-time analysis is not carried out in the existing vehicle network technology. Driving mode judgment is not comprehensive, and an energy consumption analysis result is not corrected. The method comprises the following steps: setting a vehicle driving mode corresponding to a road condition and a vehicle hundred-kilometer energy consumption range, judging the road condition according to a current vehicle speed and positioning data, analyzing vehicle hundred-kilometer energy consumption according to real-time data, and when the vehicle is in a preset road condition and hundred-kilometer energy consumption value range, judging the vehicle hundred-kilometer energy consumption value range; and a corresponding vehicle driving mode control instruction and the key parameters of the corresponding driving mode are sent to the vehicle end, and vehicle driving mode switching is achieved. Different driving modes are switched under different road conditions according to the pure electric vehicle, energy consumption is effectively saved, the maximum performance of the vehicle is exerted, and the driving experience and the safety performance are improved.

Description

Technical Field

[0001] The present invention belongs to the field of vehicle networking and vehicle remote control, and in particular to a method and system for controlling energy consumption in a coordinated working condition based on a set mode and vehicle data. Background Art

[0002] The statements in this section merely provide background information related to the present invention and do not necessarily constitute prior art.

[0003] At present, computer networks and technologies, sensor technologies, and electronic technologies are developing rapidly. Applying them to automotive technology has made automotive electronic control technology mature and improve continuously. The wide application and development of automotive electronic control technology in the automotive industry has made electronic devices more standardized, thus realizing the electrification of modern automobiles. Automotive electronic control technology is not only conducive to improving various performances of automobiles, such as economy, power, environmental protection, safety, and comfort during driving, promoting the development of the automotive industry, but also conducive to the development of the electronic industry. Therefore, automotive electronic control technology is conducive to the rapid development of automotive electronics, and it is also the key to the continuous development of the automotive industry.

[0004] Through the new generation of information and communication technology, the Internet of Vehicles realizes all-round network connection between vehicles and cloud platforms, vehicles and vehicles, vehicles and roads, vehicles and people, and vehicles, mainly realizing the "three-network integration", that is, integrating the in-vehicle network, inter-vehicle network and in-vehicle mobile Internet. The Internet of Vehicles uses sensor technology to perceive the status information of vehicles, and uses wireless communication networks and modern intelligent information processing technologies to realize intelligent management of traffic, intelligent decision-making of traffic information services and intelligent control of vehicles.

[0005] The inventors found that most pure electric vehicles use an on-board remote terminal to control the vehicle for human-machine interaction and driving mode switching, thereby alleviating the problem of insufficient energy consumption under different driving conditions. However, this method results in a large computing load on the remote server, low real-time performance, and large command message delay.

[0006] In addition, although pure electric vehicles based on the Internet of Vehicles have adopted the Internet of Vehicles, they generally analyze the historical data of the Internet of Vehicles, and do not analyze the real-time data of the Internet of Vehicles. The real-time performance is poor, the analysis results are inaccurate, and the judgment of road conditions and driving modes is not accurate enough. The energy consumption analysis results are not corrected and optimized, which deviates from the actual situation, thereby affecting the energy consumption optimization of electric vehicles. Summary of the invention

[0007] In order to overcome the shortcomings of the above-mentioned prior art, the present invention provides a method and system for controlling energy consumption based on a set mode and vehicle data collaborative working condition. Based on the set driving mode of the Internet of Vehicles platform and the collaborative analysis of the real-time data of the vehicle, the pure electric vehicle is controlled to enter the set driving mode under the road condition to reduce the vehicle energy consumption.

[0008] To achieve the above objectives, one or more embodiments of the present invention provide the following technical solutions:

[0009] The first aspect of the present invention discloses a method for controlling energy consumption in a coordinated working condition based on a set mode and vehicle data, comprising:

[0010] Set the vehicle driving mode corresponding to the road conditions and the vehicle's energy consumption range per 100 kilometers;

[0011] Acquiring real-time vehicle data, the real-time data including at least vehicle speed, positioning data and vehicle energy consumption data;

[0012] Determine the vehicle road condition through the current vehicle speed and positioning data;

[0013] Conduct real-time analysis of vehicle energy consumption data and calculate the vehicle's energy consumption per 100 kilometers;

[0014] Determine whether the vehicle road condition and energy consumption per 100 kilometers meet the preset driving mode conditions. If they meet the preset driving mode conditions, send the corresponding driving mode control instructions and key parameters of the corresponding driving mode to the vehicle end;

[0015] After receiving the instructions and key parameters, the vehicle side reminds the driver that the driving mode has changed and at the same time changes the key parameters of vehicle operation.

[0016] As a further technical solution, the vehicle driving mode is set, specifically: when the temperature is lower than the preset temperature, in a congested or low-speed driving section, and the energy consumption per 100 kilometers is greater than a first threshold, switch to the economic mode;

[0017] When the energy consumption per 100 kilometers is less than the first threshold value on a high-speed driving section, the system switches to the standard mode;

[0018] When the energy consumption per 100 kilometers is greater than the first threshold value on a climbing section or a high-speed overtaking section, the system switches to sports mode.

[0019] As a further technical solution, setting the vehicle driving mode also includes: when the temperature is greater than or equal to a preset temperature, and the energy consumption per 100 kilometers is greater than a second threshold value in a congested or low-speed driving section, switching to an economic mode;

[0020] When the energy consumption per 100 kilometers is less than the second threshold value on a high-speed driving section, the system switches to the standard mode;

[0021] When the energy consumption per 100 kilometers is greater than the second threshold on a climbing section or a high-speed overtaking section, the system switches to sports mode.

[0022] As a further technical solution, the vehicle road condition is determined by the current vehicle speed and positioning data, specifically:

[0023] If the vehicle speed is less than the first speed value and the vehicle position is in the congested road section identification area, it is determined to be a congested road condition;

[0024] If the vehicle speed is greater than the second speed value and the road type is a highway, it is determined to be a highway road condition;

[0025] If the vehicle speed is less than the first speed value and the position is in an area with a slope mark, it is determined to be a climbing road condition;

[0026] If the speed increases on a high-speed road section, it is judged as a high-speed overtaking road condition.

[0027] As a further technical solution, the vehicle energy consumption data is analyzed in real time to calculate the vehicle's energy consumption per 100 kilometers. Specifically, the cumulative energy consumption in a time period is divided by the mileage, and the calculation results are continuously updated.

[0028] As a further technical solution, before setting the vehicle's energy consumption range per 100 kilometers corresponding to the vehicle's driving mode, an energy consumption model is established to correct and optimize the energy consumption analysis results based on the different operating states of the vehicle and the impact of driving habits on energy consumption.

[0029] As a further technical solution, the key parameters include the maximum speed limit of the drive motor, the maximum torque limit of the drive motor, the acceleration limit and the frequency value of data upload of the vehicle-mounted remote terminal.

[0030] As a further technical solution, the vehicle's operating status and energy consumption are continuously monitored during driving. If the road conditions or energy consumption change, the vehicle network platform will promptly re-evaluate and send new driving mode instructions for dynamic adjustments.

[0031] The second aspect discloses a coordinated working condition energy consumption control system based on a set mode and vehicle data, comprising:

[0032] Internet of Vehicles platform and vehicle terminal;

[0033] The Internet of Vehicles platform and the vehicle communicate via a wireless network;

[0034] The Internet of Vehicles platform is used to set the vehicle driving mode corresponding to the road conditions and the vehicle's energy consumption range per 100 kilometers; obtain the vehicle's real-time data and judge the vehicle's road conditions based on the current vehicle speed and positioning data; conduct real-time analysis of the vehicle's energy consumption data and calculate the vehicle's energy consumption per 100 kilometers;

[0035] Determine whether the vehicle road condition and energy consumption per 100 kilometers meet the preset driving mode conditions. If they meet the preset driving mode conditions, send the corresponding driving mode control instructions and key parameters of the corresponding driving mode to the vehicle end;

[0036] The vehicle side is used to remind the driver that the driving mode has changed after receiving instructions and key parameters, and at the same time, change the key parameters of vehicle operation.

[0037] As a further technical solution, the vehicle side also includes a vehicle-mounted remote terminal and a vehicle-mounted remote terminal control unit; the vehicle-mounted remote terminal is used to connect the vehicle network platform and the vehicle side; the vehicle-mounted remote terminal control unit is used to change the frequency of data upload to the vehicle network platform.

[0038] One or more of the above technical solutions have the following beneficial effects:

[0039] In this embodiment, different vehicle driving modes are switched according to the pure electric vehicle under different road conditions, which can effectively save energy consumption, maximize the performance of the vehicle, and improve the driving experience and safety performance.

[0040] In this embodiment, based on the collaborative analysis of the driving mode set by the Internet of Vehicles platform and the real-time data of the vehicle, the pure electric vehicle is controlled to enter the set driving mode under the road conditions, thereby reducing the vehicle's energy consumption, having high real-time performance, and eliminating the delay in the transmission of command information.

[0041] In this embodiment, the vehicle driving mode corresponding to the road condition and the vehicle energy consumption range per 100 kilometers is set on the cloud-based Internet of Vehicles platform, the road condition is judged by the current vehicle speed and positioning data, and the vehicle energy consumption per 100 kilometers is analyzed by real-time data. When the vehicle is within the preset road condition and energy consumption value range per 100 kilometers, the corresponding vehicle driving mode control instructions and key parameters of the corresponding driving mode are sent to the vehicle end. After the vehicle end adheres to the relevant instructions and parameters, the instrument cluster gives sound and light reminders and changes the relevant parameters of the vehicle operation, taking into account the road condition and energy consumption range per 100 kilometers, and constantly updating and optimizing the road condition, and correcting and optimizing the energy consumption analysis results, the driving mode judgment rules are comprehensive to reduce vehicle energy consumption.

[0042] Advantages of additional aspects of the present invention will be given in part in the following description, and in part will become obvious from the following description, or will be learned through practice of the present invention. BRIEF DESCRIPTION OF THE DRAWINGS

[0043] The accompanying drawings in the specification, which constitute a part of the present invention, are used to provide a further understanding of the present invention. The exemplary embodiments of the present invention and their descriptions are used to explain the present invention and do not constitute improper limitations on the present invention.

[0044] Figure 1 This is a schematic diagram of a method for controlling energy consumption in a coordinated working condition based on a set mode and vehicle data according to a first embodiment of the present invention. DETAILED DESCRIPTION

[0045] It should be noted that the following detailed descriptions are exemplary and are intended to provide further explanation of the present invention. Unless otherwise specified, all technical and scientific terms used herein have the same meanings as those commonly understood by those skilled in the art to which the present invention belongs.

[0046] It should be noted that the terms used herein are for describing specific embodiments only and are not intended to be limiting of exemplary embodiments according to the present invention.

[0047] In the absence of conflict, the embodiments of the present invention and the features of the embodiments may be combined with each other.

[0048] Embodiment 1

[0049] This embodiment discloses a method for controlling energy consumption in a coordinated working condition based on a set mode and vehicle data.

[0050] In order to more clearly illustrate this embodiment, the implementation process of the energy consumption control in the coordinated working condition based on the setting mode and vehicle data can be specifically described as follows:

[0051] A method for controlling energy consumption in a coordinated working condition based on a set mode and vehicle data is provided, comprising:

[0052] S1. Setting a vehicle driving mode corresponding to the road conditions and the vehicle's energy consumption range per 100 kilometers;

[0053] S2. Acquire real-time vehicle data, wherein the real-time data includes at least vehicle speed, positioning data and vehicle energy consumption data;

[0054] S3, judging the vehicle road condition based on the current vehicle speed and positioning data;

[0055] S4. Analyze the vehicle energy consumption data in real time and calculate the vehicle's energy consumption per 100 kilometers;

[0056] S5. Determine whether the vehicle road condition and the energy consumption per 100 kilometers meet the preset driving mode conditions. If they meet the preset driving mode conditions, send the corresponding driving mode control command and the key parameters of the corresponding driving mode to the vehicle end;

[0057] S6. After receiving the command and key parameters, the vehicle end reminds the driver that the driving mode has been changed and at the same time changes the key parameters of vehicle operation.

[0058] like Figure 1 As shown, in step S1, a vehicle driving mode corresponding to the road condition and the vehicle's energy consumption range per 100 kilometers is set.

[0059] S1-1. Set the road conditions on the cloud-based Internet of Vehicles platform.

[0060] Among them, the Internet of Vehicles platform includes a controller and a memory. The controller is used to set the vehicle driving mode corresponding to the road condition and the vehicle's energy consumption range per 100 kilometers; obtain real-time vehicle data, and judge the vehicle's road condition through the current vehicle speed and positioning data; perform real-time analysis on the vehicle's energy consumption data and calculate the vehicle's energy consumption per 100 kilometers; the memory is used to store the set road condition, the vehicle's energy consumption range per 100 kilometers, the corresponding vehicle driving mode and real-time vehicle data.

[0061] The Internet of Vehicles platform sets the road conditions, specifically,

[0062] If the vehicle speed is less than the first speed value and the vehicle position is in the congested road section identification area, it is determined to be a congested road condition;

[0063] If the vehicle speed is greater than the second speed value and the road type is a highway, it is determined to be a highway road condition;

[0064] If the vehicle speed is less than the first speed value and the position is in an area with a slope mark, it is determined to be a climbing road condition;

[0065] If the speed increases on a high-speed road section, it is judged as a high-speed overtaking road condition.

[0066] In this embodiment, if the vehicle speed is less than 30km / h and the position is in the congested road section identification area, it is judged as a congested road condition; if the vehicle speed is greater than 60km / h and the road type is a highway, it is judged as a highway road condition; if the vehicle speed is less than 30km / h and the position is in a slope identification area, it is judged as a climbing road condition; if the speed increases on the highway section, it is judged as a high-speed overtaking road condition. The road condition judgment algorithm is continuously updated and optimized to improve the accuracy of the judgment. Machine learning training can be performed by collecting a large amount of actual road condition data and vehicle driving data, so that the algorithm can more accurately identify various complex road conditions.

[0067] S1-2, vehicle energy consumption range per 100 kilometers.

[0068] In this embodiment, in a low temperature environment (temperature below 10 degrees), 60Kwh / 100km is used as the dividing point. Greater than 60 or greater than 100 indicates a high energy consumption, and less than or equal to 60 is within the normal range.

[0069] Under normal temperature conditions (temperature greater than or equal to 10 degrees), 50Kwh / 100km is the dividing point. Greater than 50 and less than 100 is a high energy consumption, and less than or equal to 50 is within the normal range.

[0070] The Internet of Vehicles platform conducts real-time analysis on the received vehicle energy consumption data and calculates the vehicle's energy consumption per 100 kilometers. The energy consumption is calculated by dividing the accumulated value of the time period by the mileage. The formula for the vehicle's energy consumption per 100 kilometers is:

[0071]

[0072] Among them, t1 is the current time, t0 is the start time of the trip, mWh is the cumulative battery power consumption, BERS is the cumulative brake energy recovery power, AC_mWh is the cumulative power consumption of the air conditioner, t1_ODO is the cumulative mileage of the current trip, and t0_ODO is the cumulative mileage.

[0073] After the above steps, not only the vehicle's energy consumption per 100 kilometers is obtained, but the calculation results are also continuously updated to reflect the vehicle's current energy consumption status, thereby obtaining real-time and effective vehicle energy consumption per 100 kilometers, providing an accurate data basis for subsequent driving mode adjustments and energy consumption control.

[0074] Taking into account the impact of different vehicle operating conditions, driving habits and other factors on energy consumption, an energy consumption model is established to correct and optimize the energy consumption analysis results to make them closer to the actual situation.

[0075] Analyze the driver's driving behavior habits. If sudden acceleration or deceleration occurs, subtract the instantaneous energy consumption during sudden acceleration or deceleration.

[0076] If the current mileage is small and the energy consumption per 100 kilometers is greater than 100Kwh / 100km, it is judged that the vehicle is not in normal driving state and the driving mode will not be changed.

[0077] S1-3, setting the corresponding vehicle driving mode.

[0078] According to different temperature environments, it is generally divided into 6 situations.

[0079] (1) When the temperature is lower than the preset temperature, and the energy consumption per 100 kilometers is greater than the first threshold value in a congested or low-speed driving section, the system switches to the economic mode;

[0080] When the energy consumption per 100 kilometers is less than the first threshold value on a high-speed driving section, the system switches to the standard mode;

[0081] When the energy consumption per 100 kilometers is greater than the first threshold value on a climbing section or a high-speed overtaking section, the system switches to sports mode.

[0082] In this embodiment, in a low temperature environment (temperature less than 10 degrees):

[0083] When the energy consumption is greater than 60Kwh / 100km on congested or low-speed roads, the system switches to economic mode.

[0084] When the energy consumption is less than 60Kwh / 100km on high-speed roads, switch to standard mode;

[0085] When the energy consumption is greater than 60Kwh / 100km on a climbing slope or high-speed overtaking section, switch to sports mode.

[0086] (2) When the temperature is greater than or equal to the preset temperature, and the energy consumption per 100 kilometers is greater than the second threshold value in a congested or low-speed driving section, the system switches to the economic mode;

[0087] When the energy consumption per 100 kilometers is less than the second threshold value on a high-speed driving section, the system switches to the standard mode;

[0088] When the energy consumption per 100 kilometers is greater than the second threshold on a climbing section or a high-speed overtaking section, the system switches to sports mode.

[0089] In this embodiment, under normal temperature environment (temperature greater than or equal to 10 degrees):

[0090] In congested or low-speed driving sections, when the energy consumption per 100 kilometers is greater than 50Kwh / 100km, switch to economic mode;

[0091] When the energy consumption is less than 50Kwh / 100km on high-speed roads, switch to standard mode;

[0092] When the energy consumption is greater than 50Kwh / 100km on a climbing slope or high-speed overtaking section, switch to sports mode.

[0093] like Figure 1 As shown, in step S2, real-time vehicle data is obtained.

[0094] The real-time data obtained includes at least vehicle speed, positioning data and vehicle energy consumption data. The vehicle networking platform receives the vehicle speed, positioning data and vehicle energy consumption data of a certain electric vehicle.

[0095] like Figure 1 As shown, in step S3, the vehicle road condition is determined by the current vehicle speed and positioning data.

[0096] After receiving the vehicle speed and positioning data, the Internet of Vehicles platform analyzes it based on the map data and the preset road condition judgment algorithm.

[0097] When the current vehicle speed is less than 30km / h and the position is in a congested road section mark area, it is judged as a congested road condition; when the speed is greater than 60km / h and the road type is a highway, it is judged as a highway road condition; when the speed is less than 30km / h and the position is in a slope mark area, it is judged as a climbing road condition; when the speed increases on a highway section, it is judged as a high-speed overtaking road condition.

[0098] like Figure 1 As shown, in step S4, the vehicle energy consumption data is analyzed in real time to calculate the vehicle's energy consumption per 100 kilometers.

[0099] In this embodiment, the energy consumption per 100 kilometers of the current vehicle is calculated using the vehicle energy consumption per 100 kilometers formula.

[0100] like Figure 1As shown, in step S5, it is determined whether the vehicle road condition and energy consumption per 100 kilometers meet the preset driving mode conditions. If they meet the preset driving mode conditions, the corresponding driving mode control instructions and key parameters of the corresponding driving mode are sent to the vehicle end.

[0101] S5-1. Determine the driving mode conditions that the current vehicle meets based on the current road condition of the vehicle and the range of energy consumption per 100 kilometers.

[0102] According to the current vehicle road conditions and the current vehicle energy consumption per 100 kilometers range obtained in steps S3 and S4, determine which driving mode condition the current vehicle meets:

[0103] If it meets the economic mode, switch to economic mode;

[0104] If it meets the standard mode, switch to the standard mode;

[0105] If the road conditions are suitable for climbing a hill or overtaking at high speed, switch to sports mode.

[0106] After the above steps, it is determined that the current vehicle is in a driving mode that meets the requirements, which provides a prerequisite for subsequent switching of driving modes and reducing energy consumption.

[0107] S5-2. Send the corresponding driving mode control instructions and key parameters of the corresponding driving mode to the vehicle end.

[0108] The driving mode control instructions to be switched by the vehicle and the key parameters of the corresponding driving mode are sent to the vehicle end.

[0109] Among them, the key parameters include the maximum speed limit of the drive motor, the maximum torque limit of the drive motor, the acceleration limit and the frequency of data upload to the on-board remote terminal.

[0110] like Figure 1 As shown, in step S6, after the vehicle side receives the instruction and key parameters, the instrument cluster reminds the driver through sound and light that the driving mode has changed. At the same time, the vehicle controller changes the key parameters of vehicle operation.

[0111] After the vehicle receives the instructions and parameters, the instrument cluster reminds the driver through sound and light that the driving mode has changed. At the same time, after the vehicle controller receives the instructions, it changes the maximum speed limit, maximum torque limit and acceleration limit of the drive motor in the drive management logic; after the on-board remote terminal control unit receives the instructions, it changes the frequency of data upload to the Internet of Vehicles platform.

[0112] During driving, the vehicle's operating status and energy consumption are continuously monitored. If the road conditions or energy consumption change, the platform will promptly re-evaluate and send new driving mode instructions to achieve dynamic adjustments.

[0113] Embodiment 2

[0114] The purpose of this embodiment is to provide a coordinated working condition energy consumption control system based on a set mode and vehicle data, including:

[0115] Internet of Vehicles platform and vehicle terminal;

[0116] The Internet of Vehicles platform and the vehicle communicate via a wireless network;

[0117] The Internet of Vehicles platform is used to set the vehicle driving mode corresponding to the road conditions and the vehicle's energy consumption range per 100 kilometers; obtain the vehicle's real-time data and judge the vehicle's road conditions based on the current vehicle speed and positioning data; conduct real-time analysis of the vehicle's energy consumption data and calculate the vehicle's energy consumption per 100 kilometers;

[0118] Determine whether the vehicle road condition and energy consumption per 100 kilometers meet the preset driving mode conditions. If they meet the preset driving mode conditions, send the corresponding driving mode control instructions and key parameters of the corresponding driving mode to the vehicle end;

[0119] On the vehicle side, after receiving instructions and key parameters, the instrument cluster reminds the driver through sound and light that the driving mode has changed. At the same time, the vehicle controller changes the key parameters of vehicle operation.

[0120] The vehicle side also includes a vehicle-mounted remote terminal and a vehicle-mounted remote terminal control unit; the vehicle-mounted remote terminal is used to connect the vehicle network platform and the vehicle side; the vehicle-mounted remote terminal control unit is used to change the frequency of data upload to the vehicle network platform.

[0121] Based on the setting mode and vehicle data, a working condition energy consumption control system is implemented, which is based on the setting mode and vehicle data, and a working condition energy consumption control method based on the setting mode and vehicle data in the first embodiment is implemented.

[0122] The steps involved in the apparatus of the above embodiment correspond to the method embodiment 1, and the specific implementation method can refer to the relevant description part of embodiment 1. The term "computer-readable storage medium" should be understood as a single medium or multiple media including one or more instruction sets; it should also be understood to include any medium that can store, encode or carry an instruction set for execution by a processor and enable the processor to execute any method in the present invention.

[0123] Those skilled in the art should understand that the modules or steps of the present invention described above can be implemented by a general-purpose computer device, or alternatively, they can be implemented by a program code executable by a computing device, so that they can be stored in a storage device and executed by the computing device, or they can be made into individual integrated circuit modules, or multiple modules or steps therein can be made into a single integrated circuit module for implementation. The present invention is not limited to any specific combination of hardware and software.

[0124] Although the above describes the specific implementation mode of the present invention in conjunction with the accompanying drawings, it is not intended to limit the scope of protection of the present invention. Those skilled in the art should understand that various modifications or variations that can be made by those skilled in the art on the basis of the technical solution of the present invention without creative work are still within the scope of protection of the present invention.

Claims

1. A method for controlling energy consumption in a coordinated working condition based on a set mode and vehicle data, characterized in that: include: Set the vehicle driving mode corresponding to the road conditions and the vehicle's energy consumption range per 100 kilometers; Acquiring real-time vehicle data, the real-time data including at least vehicle speed, positioning data and vehicle energy consumption data; Determine the vehicle road condition through the current vehicle speed and positioning data; Conduct real-time analysis of vehicle energy consumption data and calculate the vehicle's energy consumption per 100 kilometers; Determine whether the vehicle road condition and energy consumption per 100 kilometers meet the preset driving mode conditions. If they meet the preset driving mode conditions, send the corresponding driving mode control instructions and key parameters of the corresponding driving mode to the vehicle end; After receiving the instructions and key parameters, the vehicle side reminds the driver that the driving mode has changed and at the same time changes the key parameters of vehicle operation.

2. A method for controlling energy consumption in a coordinated working condition based on a setting mode and vehicle data as claimed in claim 1, characterized in that: Setting the vehicle driving mode, specifically: when the temperature is lower than the preset temperature, in a congested or low-speed driving section, and the energy consumption per 100 kilometers is greater than a first threshold, switching to the economic mode; When the energy consumption per 100 kilometers is less than the first threshold value on a high-speed driving section, the system switches to the standard mode; When the energy consumption per 100 kilometers is greater than the first threshold value on a climbing section or a high-speed overtaking section, the system switches to sports mode.

3. The method for controlling energy consumption in a coordinated working condition based on a setting mode and vehicle data according to claim 1, characterized in that: Setting the vehicle driving mode also includes: when the temperature is greater than or equal to a preset temperature, in a congested or low-speed driving section, and the energy consumption per 100 kilometers is greater than a second threshold, switching to an economic mode; When the energy consumption per 100 kilometers is less than the second threshold value on a high-speed driving section, the system switches to the standard mode; When the energy consumption per 100 kilometers is greater than the second threshold on a climbing section or a high-speed overtaking section, the system switches to sports mode.

4. The method for controlling energy consumption in a coordinated working condition based on a set mode and vehicle data according to claim 1, characterized in that: The vehicle road condition is determined by the current vehicle speed and positioning data, specifically: If the vehicle speed is less than the first speed value and the vehicle position is in the congested road section identification area, it is determined to be a congested road condition; If the vehicle speed is greater than the second speed value and the road type is a highway, it is determined to be a highway road condition; If the vehicle speed is less than the first speed value and the position is in an area with a slope mark, it is determined to be a climbing road condition; If the speed increases on a high-speed road section, it is judged as a high-speed overtaking road condition.

5. The method for controlling energy consumption in a coordinated working condition based on a setting mode and vehicle data according to claim 1, characterized in that: Carry out real-time analysis of vehicle energy consumption data and calculate the vehicle's energy consumption per 100 kilometers. Specifically, the cumulative energy consumption in a time period is divided by the mileage, and the calculation results are continuously updated.

6. The method for controlling energy consumption in a coordinated working condition based on a setting mode and vehicle data according to claim 1, characterized in that: Before setting the vehicle's energy consumption range per 100 kilometers to correspond to the vehicle's driving mode, an energy consumption model is established, and the energy consumption analysis results are corrected and optimized based on the different operating conditions of the vehicle and the impact of driving habits on energy consumption.

7. The method for controlling energy consumption in a coordinated working condition based on a setting mode and vehicle data according to claim 1, characterized in that: The key parameters include the maximum speed limit of the drive motor, the maximum torque limit of the drive motor, the acceleration limit and the frequency value of data upload of the vehicle remote terminal.

8. The method for controlling energy consumption in a coordinated working condition based on a setting mode and vehicle data according to claim 1, characterized in that: During driving, the vehicle's operating status and energy consumption are continuously monitored. If the road conditions or energy consumption change, the vehicle network platform will promptly re-evaluate and send new driving mode instructions for dynamic adjustments.

9. A coordinated working condition energy consumption control system based on a set mode and vehicle data, characterized in that: include: Internet of Vehicles platform and vehicle terminal; The Internet of Vehicles platform and the vehicle communicate via a wireless network; The Internet of Vehicles platform is used to set the vehicle driving mode corresponding to the road conditions and the vehicle's energy consumption range per 100 kilometers; obtain real-time vehicle data and judge the vehicle's road conditions based on the current vehicle speed and positioning data; conduct real-time analysis of vehicle energy consumption data and calculate the vehicle's energy consumption per 100 kilometers; Determine whether the vehicle road condition and energy consumption per 100 kilometers meet the preset driving mode conditions. If they meet the preset driving mode conditions, send the corresponding driving mode control instructions and key parameters of the corresponding driving mode to the vehicle end; On the vehicle side, after receiving instructions and key parameters, the instrument cluster reminds the driver through sound and light that the driving mode has changed. At the same time, the vehicle controller changes the key parameters of vehicle operation.

10. The energy consumption control system based on the set mode and vehicle data in a coordinated working condition according to claim 9, characterized in that: The vehicle side also includes a vehicle-mounted remote terminal and a vehicle-mounted remote terminal control unit; the vehicle-mounted remote terminal is used to connect the vehicle network platform and the vehicle side; the vehicle-mounted remote terminal control unit is used to change the frequency of data upload to the vehicle network platform.

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