New energy automobile driving condition identification intelligent control system and method

Abstract

The invention discloses a new energy vehicle driving condition identification intelligent control system and method, and the system comprises a vehicle control unit system which comprises a data collection module, a data processing module and a data transmission module. The data processing module comprises a working condition recognition module and a torque management module, the working condition recognition module comprises a temperature control judgment module, a timing module and a mode control module, and the temperature control judgment module is used for calculating the real-time temperature of the vehicle high-pressure power system; when the temperature reaches a set range, a temperature confirmation signal is sent to the mode control module, the timing module is used for accumulating confirmation times of different signals, and when an accumulated value reaches set time, a timing confirmation signal is sent to the mode control module; and the mode control module performs corresponding mode skipping after receiving the temperature confirmation signal and the timing confirmation signal, and sends a corresponding mode state signal value to the torque management module after skipping to the corresponding mode.

Description

Technical Field

[0001] The present invention relates to the technical field of automobile manufacturing, and particularly to an intelligent control system and method for identifying driving conditions of new energy vehicles. Background Technique

[0002] Compared with traditional fuel vehicles, new energy vehicles have the advantages of simple driving operation and low usage cost, and gradually occupy a certain share in the market of passenger vehicles, commercial vehicles, and special vehicles, etc.; especially pure electric vehicles, compared with other new energy vehicles, because the power only needs to be driven by an electric motor and does not require the participation of an engine, so the structure is simple, and it is currently the most widely used in the market and has the largest number of users.

[0003] However, when a pure electric vehicle travels at high speed for a long time, due to the influence of the characteristics of the electric motor, the overall vehicle power consumption will increase and the electric energy consumption will be too fast. Especially in the case of full load, overloading or slopes, etc., the vehicle will be in a high-load working state for a long time and is very likely to trigger the power system fault protection state, resulting in the vehicle being unable to output power. Under normal driving conditions, the vehicle can be coasted to the emergency lane by the vehicle's inertia and wait for roadside assistance.

[0004] When driving on a high-speed road condition, some drivers will feel panic and anxiety due to the power loss caused by vehicle failures. In this case, for some drivers with insufficient driving experience and weak emergency response ability, traffic accidents may occur due to improper operation, and in severe cases, major traffic accidents involving personal safety may occur. To avoid this situation, we can use the present invention to intelligently identify and predict the vehicle driving conditions, limit the driver's driving needs to a safe driving mode, and prevent the vehicle from triggering the fault protection state by driving for a long time under high temperature and high load conditions.

[0005] Therefore, an intelligent control system and method for identifying driving conditions of new energy vehicles are proposed. Summary of the Invention

[0006] The purpose of the present invention is to provide an intelligent control system and method for identifying driving conditions of new energy vehicles to solve the problems raised in the above background technique.

[0007] To achieve the above purpose, the present invention provides the following technical solutions:

[0008] An intelligent control system for identifying driving conditions of new energy vehicles includes a vehicle controller system, and the vehicle controller system includes a data acquisition module, a data processing module, and a data sending module;

[0009] The data processing module includes a working condition recognition module and a torque management module. The working condition recognition module includes a temperature control judgment module, a timing module, and a mode control module. The temperature control judgment module is used to calculate the real-time temperature of the vehicle's high-voltage power system. When the temperature reaches the set range, it will send a temperature confirmation signal to the mode control module. The timing module is used to accumulate the confirmation times of different signals. When the accumulated value reaches the set time, it will send a timing confirmation signal to the mode control module. After receiving the temperature confirmation signal and the timing confirmation signal, the mode control module performs corresponding mode jumps. After jumping to the corresponding mode, it will send the corresponding mode status signal value to the torque management module;

[0010] The torque management module is used to calculate the control torque of the vehicle in the current state in real time. After the calculation is completed, the vehicle controller system will send the control torque to the vehicle network system to control the motor to rotate to reach the target speed.

[0011] Furthermore, the temperature control judgment module sets multiple regional ranges for the temperature of the high-voltage power system in the vehicle from low to high. When the temperature reaches the corresponding regional range, it will send a confirmation signal to the mode control module.

[0012] Furthermore, the timing module can set multiple timing confirmation signals according to the requirements in the mode control module.

[0013] Furthermore, there are multiple mode states inside the mode control module, and there is a unique digital state value in each mode state of the mode control module. Only one mode state value is allowed to exist at the same time.

[0014] Furthermore, the vehicle controller system can collect and send signals involved in vehicle systems such as hardware analog-to-digital signals and CAN networks.

[0015] Furthermore, the torque management module calculates the torque that the whole vehicle can currently allow to use in real time through a torque formula, and switches the corresponding coefficient value K by receiving the mode state value of the mode control module.

[0016] Furthermore, the K value is divided into multiple groups of map coefficients, and each group of map coefficients is determined by the mode state value of the mode control module.

[0017] Furthermore, an intelligent control method for identifying driving conditions of a new energy vehicle includes the following steps:

[0018] 1) The vehicle is in a non-high-load working condition:

[0019] When the vehicle is in motion and the motor temperature is less than 135 degrees Celsius for a long time, the mode control module (503) is in the first mode, K = K1, and the torque formula in the torque management module is multiplied by the Map coefficient of K1, and the vehicle speed will not be affected.

[0020] 2) High-load condition of the whole vehicle:

[0021] When the vehicle is in motion and the motor operating temperature range is 136 - 155 °C (the second temperature signal value = 1), if the timing module detects that the timing time is greater than 10 seconds during this period, then the timer 2 = 1, so that the first transfer signal is triggered, and the state in the mode control module jumps from the first mode to the second mode, K = K2, and the torque formula in the torque management module is multiplied by the Map coefficient of K2, and the maximum vehicle speed is limited to 90 km / h;

[0022] After entering the second mode, if the second transfer signal is triggered, the state in the mode control module will jump back from the second mode to the first mode, K = K1, and the torque formula in the torque management module is multiplied by the Map coefficient of K1, and the maximum vehicle speed will return to the driving mode in step 1);

[0023] After entering the second mode, if the third transfer signal is triggered, the state in the mode control module will jump from the second mode to the third mode, K = K3, and the torque formula in the torque management module is multiplied by the Map coefficient of K3, and the maximum vehicle speed is limited to 70 km / h;

[0024] After entering the third mode, if the fourth transfer signal is triggered, the state in the mode control module will jump from the third mode to the second mode, K = K2, and the torque formula in the torque management module is multiplied by the Map coefficient of K2, and the maximum vehicle speed is limited to 90 km / h. If the second transfer signal is triggered for a period of time, the state in the mode control module will jump back from the second mode to the first mode, K = K1, and the torque formula in the torque management module is multiplied by the Map coefficient of K1, and the maximum vehicle speed will return to the driving mode in step 1)

[0025] Compared with the prior art, the beneficial effects of the present invention are:

[0026] Through the working condition recognition module, the working load of the vehicle's high-voltage power system can be monitored in real time. According to the temperature range corresponding to different loads, intelligent torque reduction or torque increase processing is performed on the vehicle, so as to limit the driver's driving demand to a safe driving mode, preventing the vehicle from driving for a long time under high temperature and high load conditions and triggering a fault protection state that causes the vehicle to lose power. Among them, the temperature control judgment module uses the relationship between the power and temperature of the vehicle's high-voltage equipment to divide the temperature gradient of the equipment in the high-voltage power system, and matches the divided temperature range with the mode state value in the mode control module. Through this association method, different K values are triggered, so that the torque management module can switch different MAP values in real time for torque calculation, complete the torque increase and decrease control of the motor, and finally realize that the maximum speed of the vehicle will be intelligently closed-loop adjusted in real time according to the working temperature of the vehicle's high-voltage equipment, ensuring the stable operation of the vehicle without triggering fault protection. This method expands the adaptability of the vehicle under various harsh and complex working conditions, and also enables the driver to drive the vehicle without being limited by environmental factors, improving the convenience of the driver. Description of the Drawings

[0027] Figure 1 It is the working flow chart of the system of the present invention.

[0028] Figure 2 It is the working step diagram of the system of the present invention.

[0029] Figure 3 It is the working flow chart of the system module of the present invention.

[0030] Figure 4 It is the working flow chart of the working condition recognition module of the present invention.

[0031] Figure 5 It is the flow jump diagram of the mode control module of the present invention.

[0032] Figure 6 It is the K-value MAP coefficient diagram of the present invention.

[0033] Figure 7 It is the torque management formula diagram of the present invention. Detailed Embodiments

[0034] Next, the technical solutions in the embodiments of the present invention will be clearly and completely described in conjunction with the accompanying drawings in the embodiments of the present invention.

[0035] Embodiment 1:

[0036] Please refer to Figures 1-7 , the present invention provides a technical solution:

[0037] An intelligent control method for identifying driving conditions of new energy vehicles, including a vehicle controller system, which includes a data acquisition module, a data processing module, and a data transmission module;

[0038] The data processing module includes a driving condition identification module and a torque management module. The driving condition identification module contains a temperature control judgment module, a timing module, and a mode control module. The temperature control judgment module is used to calculate the real-time temperature of the vehicle's high-voltage power system. When the temperature reaches the set range, it will send a temperature confirmation signal to the mode control module. The timing module is used to accumulate the confirmation times of different signals. When the accumulated value reaches the set time, it will send a timing confirmation signal to the mode control module. After receiving the temperature confirmation signal and the timing confirmation signal, the mode control module performs corresponding mode jumps. After jumping to the corresponding mode, it will send the corresponding mode status signal value to the torque management module;

[0039] The torque management module is used to calculate the control torque of the vehicle in the current state in real time. After the calculation is completed, the vehicle controller system sends the control torque to the vehicle network system to control the motor to rotate to reach the target speed.

[0040] The temperature control judgment module sets multiple regional ranges for the temperature of the high-voltage power system in the vehicle from low to high. When the temperature reaches the corresponding regional range, it will send a confirmation signal to the mode control module.

[0041] The timing module can set multiple timing confirmation signals according to the requirements in the mode control module.

[0042] The mode control module has multiple mode states inside, and there is a unique digital status value in each mode state of the mode control module. Only one mode status value is allowed to exist at the same time.

[0043] The vehicle controller system can collect and send signals involved in vehicle systems such as hardware analog-digital signals and CAN networks.

[0044] The torque management module calculates the currently allowable torque of the whole vehicle in real time through the torque formula (T = [(P * 9550) / N] * K), where the corresponding coefficient value is switched by receiving the mode status value of the mode control module 503. Here, T: torque, P: power, N: motor speed, K: coefficient value.

[0045] The K value is divided into multiple groups of map coefficients, and each group of map coefficients is determined by the mode status value of the mode control module.

[0046] The high-voltage power system can refer to high-voltage equipment or electronic control units with a working voltage of more than 60V for the components of the vehicle system.

[0047] In the above process, before realizing the driving condition recognition, it is necessary to conduct a system design for the condition recognition module, which consists of four steps in total:

[0048] Step 1: Setting of the temperature control judgment module

[0049] The temperature control judgment module receives the real-time temperature during the operation of the motor. When:

[0050] The operating temperature of the motor is less than 135 °C, the first temperature signal value = 1;

[0051] The operating temperature range of the motor is between 136 and 155 °C, the second temperature signal value = 1;

[0052] The operating temperature of the motor is greater than 156 °C, the third temperature signal value = 1

[0053] Step 2: Setting of the timing module

[0054] The timing module sets the time of each timer. When the timer counts up to the set time, it responds;

[0055] When the first temperature signal value = 1, the timer starts timing. When the timing time is greater than 10 seconds, timer 1 = 1;

[0056] When the second temperature signal value = 1, the counter starts timing. When the timing time is greater than 10 seconds, timer 2 = 1;

[0057] When the second temperature signal value = 0, the counter starts timing. When the timing time is greater than 20 seconds, timer 3 = 1;

[0058] When the third temperature signal value = 1, the timer starts timing. When the timing time is greater than 25 seconds, timer 4 = 1;

[0059] When the third temperature signal value = 0, the timer starts timing. When the timing time is greater than 40 seconds, timer 5 = 1;

[0060] Step 3: Setting of the mode control module

[0061] First mode, the mode state value K = K1;

[0062] Second mode, the mode state value K = K2;

[0063] Third mode, the mode state value K = K3;

[0064] Step 4: Setting of the mode state transition conditions

[0065] First transfer signal: When the second temperature signal value in the temperature control judgment module = 1, and timer 2 = 1 in the timing module, the first mode jumps to the second mode, K = K2;

[0066] Second transfer signal: When the second temperature signal value in the temperature control judgment module = 0, and timer 3 in the timing module = 1, or the first temperature signal value = 1, timer 1 = 1, the second mode jumps to the first mode, K = K1;

[0067] Third transfer signal: When the third temperature signal value in the temperature control judgment module = 1, and timer 4 in the timing module = 1, the second mode jumps to the third mode, K = K3;

[0068] Fourth transfer signal: When the third temperature signal value in the temperature control judgment module = 0, and timer 5 in the timing module = 1, the third mode jumps to the second mode, K = K2.

[0069] Application of driving condition scenario:

[0070] Assume the maximum vehicle speed is 100 km / h. According to the maximum vehicle speed value, the following 2 situations can be defined:

[0071] Non-high load condition of the whole vehicle:

[0072] When the whole vehicle is in the driving process and the motor temperature is less than 135 degrees Celsius for a long time, the mode control module is in the first mode, K = K1, and the torque formula in the torque management module is multiplied by the Map coefficient of K1, and the vehicle speed will not be affected.

[0073] High load condition of the whole vehicle:

[0074] When the whole vehicle is in the driving process and the motor operating temperature range is 136 - 155 °C (the second temperature signal value = 1), if the timing module detects that the timing time is greater than 10 seconds during this period, then timer 2 = 1, so that the first transfer signal is triggered, and the state in the mode control module jumps from the first mode to the second mode, K = K2, and the torque formula in the torque management module is multiplied by the Map coefficient of K2, and the maximum vehicle speed is limited to 90 km / h;

[0075] After entering the second mode, if the second transfer signal is triggered, the state in the mode control module will jump back from the second mode to the first mode, K = K1, and the torque formula in the torque management module is multiplied by the Map coefficient of K1, and the maximum vehicle speed will return to the driving mode of situation 1 (non-high load condition of the whole vehicle);

[0076] After entering the second mode, if the third transfer signal is triggered, the state in the mode control module will jump from the second mode to the third mode, K = K3, and the torque formula in the torque management module is multiplied by the Map coefficient of K3, and the maximum vehicle speed is limited to 70 km / h;

[0077] After entering the third mode, if the fourth transfer signal is triggered, the state in the mode control module will jump from the third mode to the second mode, K = K2, the torque formula in the torque management module is multiplied by the Map coefficient of K2, and the maximum vehicle speed is limited to 90 km / h. If the second transfer signal is triggered for a period of time, the state in the mode control module will jump back from the second mode to the first mode, K = K1, the torque formula in the torque management module is multiplied by the Map coefficient of K1, and the maximum vehicle speed will return to the driving mode in case 1 (non-high load condition of the whole vehicle).

[0078] Although the embodiments of the present invention have been shown and described, those of ordinary skill in the art can understand that various changes, modifications, substitutions, and variations can be made to these embodiments without departing from the principles and spirit of the present invention. The scope of the present invention is defined by the appended claims and their equivalents.

Claims

1. An intelligent control system for identifying driving conditions of new energy vehicles, including a vehicle controller system, characterized in that: The vehicle controller system includes a data acquisition module, a data processing module and a data sending module; The data processing module includes a working condition identification module and a torque management module for calculating in real time the control torque of the vehicle in the current state. The working condition identification module includes a temperature control judgment module for calculating the real-time temperature of the vehicle's high-voltage power system, a timing module for accumulating the number of confirmations of different signals, and a mode control module. The temperature control judgment module is connected to the mode control module, the timing module is connected to the mode control module, and the mode control module is connected to the torque management module.

2. According to the intelligent control system for new energy vehicle driving condition identification according to claim, it is characterized by: The temperature control judgment module sets the temperature of the high-voltage power system in the vehicle to multiple ranges from low to high, and sends a confirmation signal to the mode control module when the temperature reaches the corresponding range.

3. According to the intelligent control system for identifying driving conditions of new energy vehicles, the characteristics are: The timing module can set multiple timing confirmation signals according to the requirements of the mode control module.

4. According to the intelligent control system for identifying driving conditions of new energy vehicles, the characteristics are: The mode control module is internally provided with a plurality of mode states, and each mode state in the mode control module has a unique digital state value, and only one mode state value is allowed to exist at the same time.

5. According to the intelligent control system for identifying driving conditions of new energy vehicles, the characteristics are: The vehicle controller system can collect and send signals involved in vehicle systems such as digital-analog signals and CAN networks through hardware.

6. According to the intelligent control system for identifying driving conditions of new energy vehicles, the characteristics are: The torque management module calculates the currently allowable torque of the vehicle in real time through a torque formula, wherein the corresponding coefficient value K is switched by receiving the mode state value of the mode control module.

7. According to the intelligent control system for identifying driving conditions of new energy vehicles, the characteristics are: The K value is divided into multiple groups of map coefficients, and the map coefficients of each group are determined by the mode state value of the mode control module.

8. According to the intelligent control system for identifying driving conditions of new energy vehicles, the characteristics are: The high-voltage power system may refer to a high-voltage device or electronic control unit whose operating voltage of vehicle system components is greater than V.

9. The intelligent control method for identifying driving conditions of new energy vehicles according to claim 7 is characterized in that: The following steps are involved: 1) Non-high load conditions of the vehicle: When the vehicle is running, the motor temperature is less than 135 degrees Celsius for a long time, the mode control module (503) is in the first mode, K=K1, the torque formula in the torque management module is multiplied by the Map coefficient of K1, and the vehicle speed will not be affected. 2) High load condition of the vehicle: When the vehicle is in motion, the motor operating temperature range is 136-155°C (second temperature signal value = 1). If the timing module detects that the timing time is greater than 10 seconds, then timer 2 = 1, so that the first transfer signal is triggered, and the state in the mode control module jumps from the first mode to the second mode, K = K2, and the torque formula in the torque management module is multiplied by the Map coefficient of K2, and the maximum speed is limited to 90 km / h; After entering the second mode, if the second transfer signal is triggered, the state in the mode control module will jump from the second mode back to the first mode, K=K1, the torque formula in the torque management module is multiplied by the Map coefficient of K1, and the maximum vehicle speed will return to the driving mode in step 1); After entering the second mode, if the third transfer signal is triggered, the state in the mode control module will jump from the second mode to the third mode, K=K3, the torque formula in the torque management module is multiplied by the Map coefficient of K3, and the maximum vehicle speed is limited to 70km / h; After entering the third mode, if the fourth transfer signal is triggered, the state in the mode control module will jump from the third mode to the second mode, K=K2, the torque formula in the torque management module is multiplied by the Map coefficient of K2, and the maximum vehicle speed is limited to 90km / h. If the second transfer signal is triggered for a period of time, the state in the mode control module will jump from the second mode back to the first mode, K=K1, the torque formula in the torque management module is multiplied by the Map coefficient of K1, and the maximum vehicle speed will return to the driving mode in step 1).

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