A method and device for adaptively adjusting the operating state of a controller

Abstract

The present invention relates to a method and device for adaptively adjusting the operating state of a controller, the adjusting device comprises a sensing module, a processing module and a control module which are data-connected to each other, the sensing module can send the vehicle operating conditions it obtains to the processing module at a certain time interval; the processing module can analyze the operating conditions with the help of the data set stored in its memory to determine whether the vehicle meets the adjustment conditions, and retrieve the processing parameters matching the current operating conditions and send them to the control module on the premise of meeting the adjustment conditions; referring to the processing parameters, the control module adjusts the switching frequency of the pulse width modulation and / or the on-off time of the vehicle controller to make the vehicle's operating state adapt to the current operating conditions. The operating conditions obtained by the sensing module include vehicle information and road information, wherein the vehicle information includes vehicle speed, accelerator pedal signal duration and temperature of the vehicle controller power device, and the road information includes ramp angle.

Description

Technical Field

[0001] The present invention relates to the field of automobile control technology, and in particular to a method and device for adaptively adjusting the operating state of a controller. Background Art

[0002] With the continuous development of the new energy vehicle industry, various technologies related to new energy vehicles have made great progress. New energy vehicles are driven by motors, which are controlled by controllers. A controller is an integrated circuit that actively controls the motor to work according to the set direction, speed, angle, response time and other parameters. Since the vehicle operating conditions are complex and changeable, the controller needs to adjust the vehicle's operating parameters in a timely manner according to the vehicle's operating conditions to ensure the vehicle's performance.

[0003] Under high-load conditions such as when the vehicle is climbing a slope, the power required by the vehicle increases significantly. If the motor power is insufficient, the control system usually increases the output power by increasing the motor voltage or current to meet the load requirements. This operation may cause a sudden increase in the motor voltage or current. When the motor voltage or current increases suddenly, the motor controller may be in an overloaded state, leading to a series of problems. First, controller overload will cause power devices such as insulated gate bipolar transistors (IGBTs) and metal oxide semiconductor field effect transistors (MOSFETs) to increase losses during the switching process. The switching loss of power devices is closely related to the magnitude of current and voltage. When the current or voltage increases, the switching loss also increases. Secondly, being in a high voltage or high current working state for a long time will cause the power device to heat up. If this heat cannot be dissipated in a timely and effective manner, the temperature of the power device will continue to rise, further increasing its loss. In addition, under high current conditions, the parasitic inductance and capacitance effects of the power device will also be aggravated, resulting in additional losses and voltage spikes, further increasing the thermal load of the power device.

[0004] The above problems will not only reduce the working efficiency of the motor, but also shorten the service life of the power device and the motor control system, increase the maintenance cost and the reliability risk of the system. Therefore, how to adjust the working state of the controller in time according to the vehicle operating conditions to ensure that the motor can operate stably and efficiently under different working conditions has become an urgent problem to be solved.

[0005] CN117755299A discloses a vehicle control method, a vehicle and a computer-readable storage medium, wherein the vehicle control method comprises: obtaining road ramp information and a starting vehicle speed value; obtaining a target vehicle speed value of a ramp target point according to the road ramp information and the starting vehicle speed value; obtaining a first distance value between a real-time position of the vehicle and an origin position, a second distance value between the ramp target point and the origin position, and a real-time vehicle speed of the vehicle; obtaining a target output torque of a power source required for the vehicle to pass over a ramp according to the real-time vehicle speed value, the target vehicle speed value of the ramp target point, the first distance value, and the second distance value; and controlling the power source of the vehicle according to the target output torque of the power source.

[0006] The vehicle control method of this patent can obtain vehicle information and road ramp information, calculate the target output torque of the power source required for the vehicle to pass the ramp, and dynamically adjust the vehicle speed to avoid power interruption or power system overload when the vehicle passes the slope, thereby extending the service life of the power system, reducing energy consumption, and increasing the vehicle's cruising range. Since the solution of this patent needs to dynamically adjust the vehicle speed and power output based on real-time data, it may cause frequent changes in vehicle speed, affecting driving stability and riding comfort. Dynamic adjustments may not be consistent with the driver's expectations or habits, resulting in inconsistent driving experience.

[0007] In addition, on the one hand, there are differences in understanding among those skilled in the art; on the other hand, the applicant studied a large number of documents and patents when making the present invention, but due to space limitations, not all details and contents are listed in detail. However, this does not mean that the present invention does not have the characteristics of these prior arts. On the contrary, the present invention already has all the characteristics of the prior art, and the applicant reserves the right to add relevant prior art to the background technology. Summary of the invention

[0008] The prior art has disclosed a technical solution for adjusting the energy output state according to the actual operating state of the vehicle. For example, the patent document with the publication number CN109094555A discloses a hybrid mining vehicle adaptive road condition energy control device and method, including a slope sensor and a road condition identification controller. The slope sensor measures the slope of the vehicle's driving road in real time and transmits the signal to the road condition identification controller. The road condition identification controller analyzes the current vehicle's working condition and obtains real-time road condition evaluation characteristic parameters. When the road condition changes beyond the sensitive value range, the road condition identification controller adjusts the equivalent factor according to the real-time road condition evaluation characteristic parameters through the equivalent fuel consumption method to correct the initial cycle working condition energy control strategy in real time and uses the corrected initial cycle working condition energy control strategy to cover the original initial cycle working condition energy control strategy. The technical solution collects real-time road condition information, corrects the initial cycle working condition energy control strategy in real time, and matches the road condition with the cycle working condition energy control strategy. However, in this technical solution, when the road condition changes beyond the sensitive value range, the road condition identification controller adjusts the equivalent factor according to the equivalent fuel consumption method and corrects the cycle condition in real time to execute the energy control strategy to operate the vehicle. In this way, the road condition identification controller needs to collect real-time road condition information first, and then perform data processing and calculation to determine the corresponding energy control strategy. This process inevitably has a time delay, which affects the real-time adjustment capability between the vehicle operating condition and the energy control strategy. On the contrary, the processing module of the present invention directly retrieves the pre-stored control module processing parameters based on the analysis results of the operating condition to adapt to the current vehicle operating condition. This method significantly reduces the waiting time required for data processing, so that the system can more timely adjust the corresponding processing parameters according to the actual operating conditions of the vehicle to maintain the efficient operation of the vehicle. The adjustment strategy of the present invention not only responds faster, but also can more accurately match complex road condition changes through pre-stored parameter settings to achieve more sophisticated energy management.

[0009] In view of the deficiencies of the prior art, the present invention provides an adaptive adjustment device for the operating state of a controller to solve at least part of the above-mentioned technical problems.

[0010] The present invention relates to an adaptive adjustment device for the operation state of a controller, the device comprising a sensing module, a processing module and a control module which are data-connected to each other, the sensing module being able to send the vehicle operation condition acquired by it to the processing module at a certain time interval; the processing module being able to analyze the operation condition with the help of a data set stored in its memory to judge whether the vehicle meets the adjustment conditions, and on the premise of meeting the adjustment conditions, calling out processing parameters matching the current operation condition and sending them to the control module; referring to the processing parameters, the control module makes the vehicle operation state adapt to the current operation condition by adjusting the switching frequency of pulse width modulation and / or the on-off time of the vehicle controller.

[0011] Different from the prior art, the present invention realizes more accurate and timely energy management by analyzing the operating conditions of the vehicle in real time and adaptively adjusting the control parameters such as the switching frequency of the pulse width modulation and / or the on-off time of the vehicle controller. Based on the above-mentioned distinguishing technical features, the problems to be solved by the present invention may include: how to optimize the vehicle performance and minimize the energy consumption under different operating conditions, especially under variable and high-load conditions. Specifically, when the vehicle enters the ramp driving state, its operating parameters will show continuous changes. If the energy control strategy is adjusted based on the real-time operating parameters combined with the equivalent fuel consumption method to adjust the equivalent factor according to the above-mentioned prior art, the processor will face frequent and complex calculation tasks and need to continuously adjust and cover the control strategy. Such a processing process will significantly increase the data processing burden during the continuous change of the operating conditions, thereby resulting in the inability to achieve timely energy control strategy adjustment, and then causing a delayed response of the vehicle control strategy. The controller operating state adaptive adjustment device of the present invention realizes accurate control and optimization of the vehicle operating state through its innovative structure and cooperative sensor module, processing module, and control module. First, the device ensures that the motor can operate stably under variable operating conditions, especially when facing high load conditions such as climbing, thereby improving the reliability and safety of the vehicle. Second, by monitoring and analyzing the vehicle status in real time, the device can quickly respond and adjust the switching frequency of the pulse width modulation signal and the on-off time of the power device, optimizing the power output and response speed of the motor, thereby improving the overall performance of the vehicle. "Real time" means that the processing module can respond to the input signal of the sensor module immediately without waiting for the next scheduled processing cycle, which means that the processing module's ability to process data is continuous without obvious delay. In addition, the device's intelligent control strategy, including the processing module's adaptive learning ability, enables the system to continuously optimize the adjustment conditions based on historical data to adapt to the changing characteristics of vehicle use and maintain efficient and reliable operation for a long time. The flexibility and adaptability of the device are enhanced by dynamically adjusting the data collection time interval, ensuring optimal performance under different driving conditions and operating habits. "Dynamic adjustment" means that the sensor module can automatically adjust the frequency of its data collection according to the current operating conditions or demand changes. This allows the sensing module to collect data at a higher frequency in some cases to respond to rapidly changing conditions, and to reduce the frequency in other cases to reduce processing load or cost. By reducing ineffective energy loss and heat loss, the device improves energy efficiency and increases vehicle range while reducing maintenance costs and extending equipment life. Smooth power output regulation reduces shock and vibration caused by power changes, and comfort is significantly improved.

[0012] According to a preferred embodiment, the operating conditions acquired by the sensing module include vehicle information and road information, wherein the vehicle information includes vehicle speed, accelerator pedal signal duration and temperature of the vehicle controller power device, and the road information includes ramp angle, and the processing module can classify the current driving state of the vehicle into a normal operating condition or a special operating condition according to the stability index of the vehicle information and / or the road information. By monitoring the vehicle speed, the device can accurately judge the dynamic state of the vehicle, respond to speed changes in a timely manner, and provide direct feedback of the vehicle's motion performance to the processing module. Secondly, the monitoring of the accelerator pedal signal duration enables the device to understand the driver's intention and achieve a rapid response to the acceleration request, thereby optimizing the driving experience. At the same time, the temperature monitoring of the vehicle controller power device helps prevent overheating problems, ensures that the power device works within a safe temperature range, avoids thermal damage, and prolongs the service life of the device. In addition, the monitoring of the ramp angle provides the device with detailed information on the road conditions, so that when facing different slopes, the processing module can adjust the pulse width modulation frequency or the on-off time of the power device according to the ramp angle to adapt to the power demand of the vehicle when going uphill or downhill. This adaptive adjustment strategy not only improves the performance and safety of the vehicle when driving on a slope, but also improves energy efficiency and reduces energy consumption by optimizing power output. Based on the monitoring of vehicle speed, accelerator pedal signal duration, power device temperature and slope angle of stability indicators, the processing module can promptly identify whether the vehicle enters a special operating condition, such as driving on a slope, so as to ensure that the control module adopts the corresponding control strategy to improve the vehicle's energy utilization and driving stability.

[0013] According to a preferred embodiment, when the vehicle is in a normal operating condition, the sensing module uses a regular time interval for data feedback, and the regular time interval is set to a fixed time length by the processing module based on the response characteristics of the vehicle in a stable state; when the vehicle enters a special operating condition, the processing module will activate a special time interval mechanism for data feedback, and the special time interval is dynamically adjusted by the processing module based on the data change rate provided by the sensing module and the historical data analysis results stored in the processing module. Different from the prior art, the present invention can adjust the time interval of data feedback in real time according to the actual operating state of the vehicle, and significantly improve the response speed and accuracy of the vehicle control system through the dynamic time interval adjustment mechanism. Based on the above-mentioned distinguishing technical features, the problems to be solved by the present invention may include: how to realize intelligent adjustment of the data feedback time interval during the operation of the vehicle to adapt to different operating conditions and optimize vehicle performance. Specifically, the adaptive adjustment device of the present invention can use different data feedback time intervals under different operating conditions. Through this dynamic time interval adjustment, the device can more effectively manage the dynamic response of the vehicle under different conditions. For example, when driving at high speed or emergency braking, the device can respond quickly and shorten the time interval of data feedback, ensuring that the power output and braking force control of the vehicle under special operating conditions are more accurate and timely. This not only improves the performance and safety of the vehicle, but also when driving at low speed or steady, the device can appropriately extend the time interval for data feedback to reduce the consumption of system resources, thereby optimizing the efficiency of energy utilization, reducing system losses caused by frequent adjustments, and extending the service life of the vehicle power system. In addition, this intelligent adjustment mechanism also improves driving comfort and riding experience, making vehicle control smoother and more natural, and reducing the discomfort caused by sudden changes.

[0014] According to a preferred embodiment, when the vehicle is already in a special operating condition, the processing module can set a specific interval endpoint value for the current slope angle of the vehicle according to the switching frequency of the pulse width modulation signal and / or the maximum allowable difference of the on-off time of the power device, and can dynamically adjust the special time interval and recalculate and determine the interval endpoint value corresponding to the changed slope angle according to the slope angle change trend monitored by the sensor module. Different from the prior art, the present invention can dynamically adjust the switching frequency of the pulse width modulation signal and the on-off time of the power device, as well as the setting of the special time interval according to the different slope angles of the vehicle and the real-time change trend monitored by the sensor module. Based on the above-mentioned distinguishing technical features, the problems to be solved by the present invention may include: how to achieve accurate and timely response to power output and braking force control under special operating conditions of the vehicle, and how to improve driving comfort and riding experience through an intelligent adjustment mechanism. By setting a specific interval endpoint value for the current slope angle of the vehicle, the processing module can accurately control the switching frequency of the pulse width modulation signal and the on-off time of the power device to ensure the performance and safety of the vehicle under special operating conditions. The processing module can dynamically adjust the special time interval according to the changing trend of the ramp angle monitored by the sensor module, which enables the system to quickly respond to the real-time changes in the ramp angle and adjust the vehicle's operating parameters in a timely manner. As the ramp angle changes, the processing module can recalculate and determine the new interval endpoint values. This adaptive adjustment capability ensures that the vehicle's control parameters always match the current operating conditions, improving the vehicle's adaptability and stability. In addition, by limiting the maximum allowable difference between the pulse width modulation signal and the on-off time of the power device, the technical solution effectively avoids the risk of vehicle performance degradation or controller damage due to parameter adjustment exceeding the threshold.

[0015] According to a preferred embodiment, the processing module can detect the situation where the vehicle deviates from the preset operating condition threshold value, and the preset operating condition threshold value is determined comprehensively based on the vehicle design performance, historical operating data and safe operating limit. For special operating conditions, the preset operating condition threshold value is the operating condition change rate and / or operating condition change difference within a special time interval. Unlike the prior art, the present invention can dynamically adjust the performance parameters of the vehicle under different operating conditions to ensure that the vehicle can maintain the optimal performance and safety level under various conditions. Based on the above-mentioned distinguishing technical features, the problems to be solved by the present invention may include: how to respond more quickly to slight changes in the vehicle state, so as to adjust the control strategy in time. In the adaptive adjustment device of the present invention, the processing module has the ability to detect deviations from the preset operating condition threshold value, and this function is set by comprehensive consideration of the vehicle design performance, historical operating data and safe operating limit. The preset operating condition threshold value reflects the state range that the vehicle should maintain during normal and safe operation, including but not limited to key parameters such as speed, acceleration, motor load, and power device temperature. Under special operating conditions, such as climbing a slope or making a sharp turn, these thresholds are further refined into the rate of change and / or difference of operating condition within a special time interval to meet the needs of rapid response and precise control in these situations. This real-time monitoring and rapid response capability significantly improves the intelligence level of the vehicle control system, enhances the vehicle's adaptability to complex and changeable road conditions, and also improves the vehicle's safety and reliability. By precisely controlling the working state of the motor and power devices, the device can not only optimize the vehicle's power output and energy efficiency, but also provide the necessary power support or braking force when necessary to meet the challenges under special operating conditions.

[0016] According to a preferred embodiment, the processing module can determine that the vehicle has entered a ramp driving state where parameters need to be adjusted according to any of the following conditions: the vehicle speed decreases or increases beyond the normal operating range, the acceleration changes exceed the expected threshold, the motor load reaches its rated power, the power device temperature reaches the overheat protection limit, or the ramp angle detected by the sensor exceeds the threshold. Different from the prior art, the present invention can monitor and analyze the operating conditions of the vehicle in real time, and intelligently adjust the operating parameters of the vehicle according to the comparison results of the preset operating condition threshold and the actual operating data, so as to ensure that the vehicle can maintain a safe and efficient operating range under various special operating conditions. Based on the above-mentioned distinguishing technical features, the problems to be solved by the present invention may include: how to quickly respond and make necessary adjustments to maintain the stability and safety of the vehicle when the vehicle encounters a deviation from the preset operating condition threshold, so as to maintain the stability and safety of the vehicle. When the motor load is close to its rated power, the device can identify the situation where the motor may be overloaded, and take corresponding measures, such as adjusting the duty cycle of the pulse width modulation signal or changing the on-off time of the power device, so as to reduce the motor load and prevent the motor from being damaged due to overload. Similarly, when the temperature of the power device approaches the overheat protection limit, the device can reduce the load of the power device or take cooling measures in time to avoid thermal damage and ensure the continued reliable operation of the power device. In addition, the sensor in the device can accurately detect the change in slope angle when the vehicle is entering or is already in a slope driving state. In this case, the device automatically adjusts the pulse width modulation frequency and the switching time of the power device to adapt to the specific power requirements of the vehicle on the slope, ensuring that the vehicle can maintain the best operating state and performance when going uphill or downhill.

[0017] According to a preferred embodiment, the control module can output the pulse width modulation signal to the motor controller or other actuators, and can feed back the expected effect of the adjusted pulse width modulation signal to the processing module through the feedback channel. The processing module evaluates the actual effect of the pulse width modulation signal adjustment based on the feedback information of the control module and the actual vehicle operating conditions obtained from the sensor module. Different from the prior art, the present invention optimizes the parameters of the pulse width modulation signal in real time through a closed-loop control system to adapt to the variable vehicle operating conditions. Based on the above-mentioned distinguishing technical features, the problems to be solved by the present invention may include: how to achieve precise control of the motor controller under different operating conditions, and how to dynamically optimize and adjust the pulse width modulation signal through a real-time feedback mechanism. Through the output and feedback of the pulse width modulation signal, the control module realizes the precise control instruction transmission to the motor controller, ensuring that the motor changes its operating state according to the real-time adjusted pulse width modulation signal to adapt to the current vehicle operating conditions. The processing module can evaluate the actual effect of the pulse width modulation signal adjustment based on the feedback information of the control module and the real-time vehicle operating data provided by the sensor module. This evaluation mechanism allows the system to identify any deviations and make adjustments in time to ensure that the operation of the motor is always consistent with the expected effect. The design of this feedback loop provides a closed-loop control strategy that enhances the system's adaptive capabilities. The system can dynamically optimize the parameters of the PWM signal based on real-time data and feedback results to achieve a more precise and rapid response.

[0018] According to a preferred embodiment, the control module can adjust the on-resistance and / or off-resistance of the power device of the vehicle controller to adjust the on-time and / or off-time, wherein the control module can configure the resistance of the on-resistance and the off-resistance by adjusting the level or pulse width of the control signal. Different from the prior art, the present invention monitors the operating state of the vehicle and the working conditions of the power device in real time, dynamically adjusts the on-resistance and the off-resistance of the power device to optimize the switching time and achieve precise control. Based on the above-mentioned distinguishing technical features, the problems to be solved by the present invention may include: how to achieve precise control of the switching time of the power device under different operating conditions of the vehicle, especially when the load changes significantly, and how to reduce energy loss through intelligent regulation, improve energy efficiency and the service life of the power device. This adjustment mechanism enables the power device to respond quickly and provide the required power output or braking force under different operating conditions, such as when the vehicle is driving on a slope or accelerating / decelerating sharply, thereby optimizing the dynamic response performance and driving experience of the vehicle. Secondly, by accurately controlling the switching time of the power device, the energy loss during the switching process is reduced, and the energy efficiency of the whole vehicle and the service life of the power device are improved.

[0019] According to a preferred embodiment, the processing module pre-stores a mapping relationship between pulse width modulation frequency, power device switching time and vehicle operating conditions. When the vehicle status data monitored by the sensing module is transmitted to the processing module, the processing module will synchronize with the pre-stored mapping relationship to retrieve appropriate processing parameters. When the vehicle status data is transmitted to the processing module, the processing module can immediately synchronize with the pre-stored mapping relationship and quickly retrieve the processing parameters that match the current vehicle operating conditions. This synchronization and retrieval process avoids complex real-time calculations, shortens the response time, and improves the real-time and accuracy of control. Through the application of this pre-stored mapping relationship, the processing module can ensure that the vehicle controller can obtain the optimal PWM frequency and power device switching time settings under various operating conditions, such as different speeds, loads, or slope conditions. This not only improves the performance and energy efficiency of the vehicle, but also enhances the vehicle's adaptability to complex road conditions, and improves driving safety and riding comfort.

[0020] The present invention also provides a method for adaptively adjusting the operating state of a controller, the method comprising the following steps:

[0021] Vehicle operating conditions obtained at certain time intervals;

[0022] Determine whether the vehicle meets the adjustment conditions according to the operating condition;

[0023] Under the premise of satisfying the adjustment conditions, the processing parameters matching the current operating conditions are retrieved;

[0024] With reference to the processing parameters, the operating state of the vehicle is adapted to the current operating conditions by adjusting the switching frequency of the pulse width modulation and / or the on-off time of the power device of the vehicle controller. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is an example block diagram of a device for adaptively adjusting the operating state of a controller provided by the present invention;

[0026] Figure 2 It is a flow chart of the method for adaptively adjusting the operating state of the controller provided by the present invention;

[0027] Figure 3 It is a frequency and slope quantitative relationship diagram pre-stored in the processing module provided by the present invention;

[0028] Figure 4 It is a quantitative relationship diagram between the on-off time and the slope of the power device pre-stored in the processing module provided by the present invention.

[0029] Reference numerals list

[0030] 100: sensing module; 200: processing module; 300: control module. DETAILED DESCRIPTION

[0031] The following is a detailed description with reference to the accompanying drawings.

[0032] Example 1

[0033] The present invention provides a device that can adjust the working state of the controller according to the vehicle operating conditions, aiming to ensure that the vehicle motor can operate stably under different working conditions, especially under high-load conditions such as vehicle climbing, and effectively improve the overall performance and reliability of the vehicle system. Figure 1 As shown, the regulating device of the present invention includes a sensing module 100, a processing module 200 and a control module 300, and the three modules can be data-connected. Specifically, the sensing module 100 can be used to obtain the operating conditions of the vehicle; the processing module 200 can first determine whether the vehicle meets the regulating conditions based on the information obtained by the sensing module 100, and obtain the processing parameters that match the current operating conditions of the vehicle when the vehicle meets the regulating conditions; the control module 300 can adjust the operating state of the vehicle to match the current operating conditions based on the processing parameters.

[0034] Preferably, if Figure 1 As shown, the operating conditions collected by the sensor module 100 of the present invention include vehicle information and road information, which can provide comprehensive and accurate data support for the processing module 200 and the control module 300. The vehicle information covers the vehicle speed, the duration of the accelerator pedal signal and the temperature of the power device of the vehicle controller; the road information mainly focuses on the slope angle. Correspondingly, the sensor module 100 of the present invention includes a speed sensor, a pedal position sensor, a temperature sensor and a gyroscope, and each sensor is interconnected through an efficient data acquisition and processing circuit to form an integrated information perception system. Specifically, the speed sensor can be installed on the vehicle wheel speed sensor or the engine output end, and measure and convert the vehicle speed information into an electrical signal that can be read by the processing module 200 in real time. After filtering, amplification and other processing, the signal is parsed by the microprocessor to obtain accurate vehicle speed data. The pedal position sensor usually adopts a non-contact Hall effect sensor or a resistive sensor, which can accurately monitor the accelerator pedal's stepping depth and duration. The temperature sensor is arranged close to the power device inside the vehicle controller, such as key components such as the motor controller, to accurately obtain the surface temperature of the power device. As the core component of road information perception, the gyroscope measures the vehicle's angular velocity around its own axis, combines the vehicle's motion state with geographic coordinate system information, and uses advanced attitude solution algorithms to accurately calculate the angle of the slope the vehicle is on.

[0035] Preferably, if Figure 1As shown, the processing module 200 plays a core role in the adaptive adjustment process of the controller operation state. Its functions are not limited to data analysis and decision making, but also include close data linkage and dynamic control mechanism with the sensor module 100. The processing module 200 can be a microprocessor unit (MCU), also known as a single chip microcomputer (Single Chip Microcomputer) or a single chip microcomputer. The frequency and specifications of the central processing unit (CPU) are appropriately reduced, and the memory, counter, USB, A / D conversion, UART, PLC, DMA and other peripheral interfaces, and even LCD drive circuits are integrated on a single chip to form a chip-level computer, which performs different combination controls for different application scenarios. The memory of the processing module 200 can store data sets corresponding to specific operating conditions in the form of graphs, trees, hash tables, etc., ensuring rapid response and precise control of vehicle state changes.

[0036] Preferably, if Figure 1 As shown, the data linkage relationship between the processing module 200 and the sensing module 100 constitutes the core communication mechanism of the adaptive adjustment device. This mechanism ensures that the sensing module 100 can provide accurate operating condition data to the processing module 200 at an appropriate time interval based on the vehicle status monitored in real time. The setting of the time interval is the result obtained by the processing module 200 after comprehensive consideration of the dynamic response capability of the vehicle and the system processing requirements, and is precisely calculated to achieve the optimal frequency of data acquisition to reflect the actual operating status of the vehicle. When the vehicle is in a normal operating condition, that is, the vehicle is traveling at a relatively stable speed and does not encounter significant changes in road conditions or operational requirements, the sensing module 100 will use a regular time interval for data feedback. The regular time interval is fixed because it is set based on the response characteristics of the vehicle in a stable state, which can ensure the continuity and reliability of the data while avoiding unnecessary data processing and calculation burdens. However, when the vehicle enters a special operating condition, such as driving on a slope, this obvious change in road conditions requires the system to respond more quickly and accurately. In this case, the processing module 200 will activate the special time interval mechanism.

[0037] Preferably, the processing module 200 can set stability indexes for vehicle information and road information to evaluate the operating conditions of the vehicle. Stability index refers to a series of parameters used to evaluate the dynamic performance of the vehicle under different driving conditions. For the vehicle information of vehicle speed, the stability of the vehicle speed can be evaluated by measuring the rate of change of the speed by the sensor module 100, that is, whether the change of the vehicle speed within a certain period of time remains within a range defined by a smaller stability index. Under normal operating conditions, the vehicle speed should remain relatively constant without sharp acceleration or deceleration; otherwise, it means that the vehicle is in a special operating condition. The stability index of the accelerator pedal signal duration reflects the continuity and consistency of the driver's operation of the accelerator pedal. Under normal operating conditions, the accelerator pedal signal duration does not change much, indicating that the driver operates smoothly and there is no sudden acceleration or deceleration demand. The temperature stability index of the power device reflects the thermal state of the vehicle power system during operation. The stable state within the normal temperature range indicates that the power device is not overheated, the system operates in a safe and efficient state, and the vehicle is in a normal operating condition. The stability index of the ramp angle is used to judge the driving condition of the vehicle on different slopes. Under normal operating conditions, the vehicle will not encounter significant changes in slope, but under special operating conditions, such as when driving on a slope, the slope angle changes greatly, requiring the device to make corresponding adjustments. Through these stability indicators, the processing module (200) can monitor the operating state of the vehicle in real time, and determine whether the vehicle is in a normal operating condition or a special operating condition based on the changes in these parameters.

[0038] Preferably, the special time interval is dynamically adjustable based on the rate of change of data provided by the sensing module 100 and the historical data analysis results stored in the processing module 200. The processing module 200 monitors the changes in the vehicle state in real time through advanced algorithms, such as adaptive filtering and pattern recognition technology. Once it is detected that the vehicle is in a special operating condition, the processing module 200 will automatically shorten the time interval for the sensing module 100 to provide data feedback to improve the real-time nature of the operating condition. This ability to dynamically adjust the special time interval enables the processing module 200 to quickly identify and respond to significant changes in the vehicle state.

[0039] Preferably, if Figure 1As shown, one of the responsibilities of the processing module 200 is to send appropriate processing parameters to the control module 300 in a timely manner when the operating conditions of the vehicle change beyond expectations, so that the control module 300 can adjust the operating state of the vehicle with reference to the processing parameters to adapt to the current operating conditions. To this end, when the vehicle is in a special operating condition, the processing module 200 can implement a series of refined monitoring and adjustment measures. The key operating conditions monitored by the processing module 200 at special time intervals include motor load, power device temperature, vehicle speed, etc. These parameters are key indicators for measuring whether the vehicle operating state is at the optimal performance threshold. Through real-time tracking and analysis of these parameters, the processing module 200 can detect any deviation from the preset operating condition threshold in a timely manner. These preset operating condition thresholds are determined comprehensively based on vehicle design performance, historical operating data, and safe operating limits. For special operating conditions, the preset operating condition threshold can be an operating condition change rate and / or operating condition change difference within a special time interval. Specifically, these preset operating condition thresholds are set by comprehensively considering the performance indicators of the vehicle during design, the long-term accumulated operating data, and the extreme conditions for ensuring the safe operation of the vehicle. They usually include but are not limited to the speed range of the vehicle during normal operation, the limit value of the motor load, the maximum allowable temperature of the power device, and other parameter differences or parameter change rates. These thresholds constitute the benchmark for the normal operation of the vehicle, so that the processing module 200 can make timely judgments and responses when the actual operating state of the vehicle deviates from these preset values. For special operating conditions, for example, a sharp change in vehicle speed within a period of time may trigger an adjustment mechanism, and this rate of change becomes an important threshold parameter. Similarly, the rapid increase or decrease of the motor load and the rapid increase in the temperature of the power device can be expressed by the rate of change or the difference in change. These dynamic parameters can more accurately capture the sudden change of the vehicle state, thereby providing a more timely adjustment basis for the processing module 200.

[0040] Based on this analysis, the processing module 200 will dynamically adjust the special time interval to optimize the data collection frequency. If the analysis results show that the existing adjustment strategy may cause a delay in the control module 300 receiving the processing parameters, the processing module 200 will shorten the special time interval to speed up the data collection and processing speed. On the contrary, if the analysis results show that the current adjustment strategy can meet the response requirements of the vehicle, the processing module 200 may extend the special time interval to reduce the frequency of data processing and the computational burden of the system.

[0041] Preferably, if Figure 1As shown, the processing module 200 uses a series of preset logic and parameter thresholds to accurately determine whether the vehicle is in a specific operating condition that requires adjustment. These preset adjustment conditions are set based on a comprehensive consideration of vehicle performance, safety standards and operating efficiency, and are used to identify whether the vehicle state deviates from the normal operating range or is about to enter a condition that requires a special control strategy. Specifically, when the processing module 200 detects that the change in any one or more parameters of vehicle speed, acceleration, motor load, or power device temperature exceeds the respective preset thresholds, it can be determined that the vehicle's operating condition has met the specific adjustment conditions. Under specific operating conditions, if adjustments are not made in time, the vehicle may suffer from performance degradation, reduced energy efficiency, and may even face safety risks. The processing module 200 monitors and analyzes these key parameters in real time and compares them with the preset adjustment conditions. Once it is detected that the vehicle's operating condition meets any adjustment condition, the processing module 200 will immediately start the corresponding adjustment strategy, that is, the processing module 200 will retrieve the processing parameters that match the current vehicle operating condition required for adjustment by the control module 300 according to the built-in algorithm and the parameters stored in the database. In addition, the processing module 200 also has adaptive learning capabilities, and can continuously optimize the adjustment conditions and parameter thresholds based on historical adjustment data and actual adjustment effects, thereby improving the judgment accuracy and adjustment response speed. This self-optimization mechanism enables the adaptive adjustment device to adapt to the usage changes and aging characteristics of the vehicle, and maintain efficient and reliable operation for a long time.

[0042] Preferably, if Figure 1 As shown, the control module 300 acts as an actuator in the adaptive adjustment device of the present invention, which is responsible for adjusting the operating conditions of the vehicle according to the decision of the processing module 200. When the processing module 200 determines through data analysis and preset logic that the current operating conditions of the vehicle meet the adjustment conditions, the control module 300 will take a series of precise control measures to optimize the performance and efficiency of the vehicle. Specifically, the control module 300 can adjust the switching frequency of the pulse width modulation (PWM) signal and control the power output of the motor by adjusting the duty cycle of the pulse width modulation signal. Reducing the switching frequency of the pulse width modulation helps to reduce the electromagnetic noise and switching loss of the motor, and in some cases can improve the low-speed stability of the motor and improve its torque response.

[0043] Preferably, if Figure 1As shown, taking the operating condition of a vehicle driving on a slope as an example, the control module 300 will first receive an instruction from the processing module 200, which is based on the real-time data collected by the sensor module 100 and the analysis results of the processing module 200. The instruction contains the adjustment parameters required for the pulse width modulation signal, such as the set value of the switching frequency. The firmware or software inside the control module 300 will parse these instruction parameters and convert them into a format recognizable by the pulse width modulation controller, such as converting the frequency value into the configuration value of the counter or timer of the pulse width modulation controller. The control module 300 sets the switching frequency of the pulse width modulation signal through the register of its pulse width modulation controller, which can indirectly control the switching frequency of the pulse width modulation signal by setting the update frequency or period of the timer. In this process, the sensor module 100 continuously monitors the operating status of the vehicle so that the control module 300 can dynamically adjust the switching frequency of the pulse width modulation signal according to further instructions from the processing module 200 or preset control logic. For example, when the slope angle increases, the vehicle's g-load increases, and the pulse width modulation frequency may need to be reduced to increase the motor torque; when the slope angle decreases, the vehicle's g-load decreases, and the frequency may need to be increased to achieve more precise energy recovery control.

[0044] Preferably, if Figure 1 As shown, after adjusting the switching frequency of the pulse width modulation signal, the control module 300 can ensure that these signals are synchronized with the motor controller of the vehicle. This ensures that the motor controller can adjust its output according to the new pulse width modulation signal to adapt to the dynamic needs of the vehicle on the slope. The control module 300 also includes a feedback monitoring mechanism to ensure that the adjustment of the pulse width modulation signal achieves the expected effect. Specifically, while the control module 300 generates the adjusted pulse width modulation signal and outputs it to the motor controller or other actuators, it can also feed back the expected effect of the adjusted pulse width modulation signal to the processing module 200 through the feedback channel. The processing module 200 evaluates the actual effect of the pulse width modulation signal adjustment based on the feedback information of the control module 300 and the actual operating conditions of the vehicle obtained from the sensor module 100. If the actual response of the vehicle deviates from the expectation, the processing module 200 will re-analyze the data and generate new control instructions, thereby forming a closed-loop control loop.

[0045] Preferably, if Figure 1As shown, when the processing module 200 determines through data analysis and preset logic that the current operating condition of the vehicle meets the adjustment conditions, the control module 300 can adjust the on-time t_on and off-time t_off of the power device of the vehicle controller to make the vehicle controller match the current operating condition of the vehicle. Further, the on-time t_on and off-time t_off of the power device are achieved by adjusting the on-resistance R_on and / or off-resistance R_off of the power device in the controller. Power devices such as insulated gate bipolar transistors (IGBTs) or metal oxide semi-field effect transistors (MOSFETs) will generate losses during the on-and-off process, and these losses are proportional to the resistance value and the current change rate. By reducing these resistance values, the energy loss of the power device in the switching state can be reduced, thereby reducing the overall heat loss and improving the working efficiency of the controller. These adjustment measures of the control module 300 are coordinated with each other, and they work together on the motor control system of the vehicle to achieve precise adjustment of the vehicle's operating conditions. This adjustment can not only improve the vehicle's performance under specific conditions, such as uphill driving or high-speed cruising, but also improve the energy efficiency and response speed of the entire system, ensuring driving smoothness and riding comfort.

[0046] Preferably, the control module 300 can realize the resistance configuration of the on-resistance R_on and the off-resistance R_off by adjusting the level or pulse width of the control signal. Specifically, the control module 300 can use a digital potentiometer or an analog switch to dynamically adjust the resistance value. The digital potentiometer can change its resistance value through the digital signal input, and the analog switch can quickly switch different resistance paths according to the control signal. In the present invention, the adjustment of the on-time t_on and the off-time t_off of the power device is achieved by adjusting the corresponding on-resistance R_on and the off-resistance R_off. The establishment of this adjustment mechanism is based on the precise control of the current change rate and the voltage change rate of the power device during the switching process. Since the switching speed of the power device directly affects its on-time and off-time t_off, and this speed is related to the resistance value at both ends of the device, therefore, it is very important to establish the numerical correspondence between the on-resistance R_on, the off-resistance R_off and the on-time t_on and the off-time t_off for achieving accurate time adjustment. Specifically, during the turn-on process of a power device, the rate of increase of its collector-emitter current is inversely proportional to the turn-on resistance R_on. Reducing the turn-on resistance R_on can speed up the current rise rate, thereby shortening the turn-on time t_on. Similarly, increasing the turn-on resistance R_off can slow down the current drop rate, affecting the turn-on time t_off. During the turn-off process, the rate of decrease of the collector-emitter voltage is related to the turn-off resistance R_off. Reducing the turn-off resistance R_off can speed up the voltage drop rate, thereby reducing the turn-off time t_off.

[0047] Preferably, in order to determine the specific correspondence between time and resistance, in the adaptive adjustment device of the present invention, the control module 300 pre-stores a set of quantitative relationships determined by laboratory tests and simulation analysis, which clearly describe the correspondence between the on-resistance R_on and off-resistance R_off of the power device of the vehicle controller and the on-time t_on and off-time t_off. This predetermined relationship enables the control module 300 to quickly and accurately derive processing parameters directly based on these data in actual vehicle operation, without the need for complex real-time calculations at the time of regulation. Through this design, the processing module 200 only needs to determine the corresponding resistance value for the control module 300 according to the vehicle operating conditions monitored in real time by the sensor module 100, and the control module 300 then adjusts the resistance of the power device to achieve precise control of the switching time, thereby optimizing the motor control performance, improving energy efficiency, and ensuring driving stability and ride comfort. This method based on a predetermined quantitative relationship significantly improves the response speed and adjustment accuracy of the adjustment device, while reducing the calculation burden and enhancing the reliability of the adjustment device.

[0048] Preferably, the design of the processing module 200 embeds a data pre-storage mechanism, which allows the processing module 200 to quickly access and apply the map and parameter mapping data (such as Figure 3 and Figure 4 These data are obtained through carefully designed experiments and simulation analysis, ensuring that the control module 300 can achieve accurate control of the pulse width modulation frequency or the switching time of the power device when adaptively adjusting the vehicle controller.

[0049] Preferably, when the vehicle is in a special operating condition, the processing module 200 can use the slope angle information collected by the sensor module 100 to intelligently formulate and apply different vehicle operating condition feedback strategies. The main difference between these strategies lies in determining the length of the special time interval for reporting changes in the vehicle operating condition to the processing module 200. Specifically, Figure 3 and Figure 4 The quantitative relationship between the pulse width modulation frequency and the ramp angle at different vehicle speeds (V1, V2, Vx, where V2>Vx>V1) obtained through experimental fitting, as well as the quantitative relationship between the turn-on and turn-off time of the power device and the ramp angle, are shown. These relationship diagrams reveal that as the ramp angle increases, the required pulse width modulation frequency adjustment and the power device switching time adjustment are reduced accordingly. This means that for a given change in ramp angle, when the vehicle is traveling on a smaller slope, the required parameter adjustment will be relatively large; conversely, when the vehicle is traveling on a larger slope, even if the slope changes by the same amount, the required parameter adjustment will be relatively small.

[0050] Preferably, the processing module 200 can use the parameter mapping data pre-stored in its memory and set specific interval endpoint values ​​for the current slope angle of the vehicle based on the switching frequency of the pulse width modulation signal and / or the maximum allowable difference in the on-off time of the power device. These endpoint values ​​(lower endpoint θ1 and upper endpoint θ2) are calculated by the processing module 200 according to the specified parameters of the vehicle controller. The processing module 200 uses its built-in model to dynamically calculate and set the working interval endpoint values ​​that are suitable for the current slope angle based on the switching frequency of the pulse width modulation signal and the on-off time parameters of the power device, as well as the maximum allowable range of these parameters. This process ensures that the operation of the device does not exceed its designed safety and performance limits under different slope conditions.

[0051] Preferably, the mathematical model built into the processing module 200 can be obtained by the following steps:

[0052] First, obtain the preset parameters and performance specifications of the vehicle controller. These data can be obtained from detailed technical documentation and controller performance data obtained from vehicle manufacturer channels. Then, a series of benchmark tests are conducted to experimentally determine the performance and limits of the controller under different operating conditions.

[0053] Secondly, the controller's performance under extreme conditions is evaluated through finite element analysis (FEA) and thermal simulation to determine the safe operating range. Furthermore, hardware-in-the-Loop (HIL) testing is performed to simulate different operating conditions to determine the variation limits of pulse width modulation signals and power device parameters, thereby determining the maximum allowable variation range of pulse width modulation signals and power device on-off time parameters.

[0054] Then, the design of experiments (DOE) method is used to systematically change the pulse width modulation signal and power device parameters to observe the impact on vehicle performance. Through long-term vehicle operation data collection, the stability and efficiency under different parameter settings are analyzed to determine the maximum range of variation.

[0055] Subsequently, a series of experiments were carried out to measure the vehicle's performance indicators, such as motor torque, power consumption, etc. at different slope angles.

[0056] Finally, a mathematical model between the slope angle and the pulse width modulation signal and power device parameters is established using data fitting techniques, such as polynomial regression or neural network.

[0057] In the present invention, when the processing module 200 determines that the vehicle is in a special operating condition, it can first determine the current operating point of the switching frequency of the pulse width modulation signal and the on-off time of the power device, and with the help of its built-in mathematical model, refer to the preset parameters and performance specifications of the vehicle controller to calculate the maximum allowable variation range of these parameters under the current slope condition. Then, based on these maximum variation ranges, the processing module 200 calculates the lower endpoint value θ1 and the upper endpoint value θ2 of the interval, and these two endpoint values ​​define the boundaries within which the pulse width modulation signal and the on-off time of the power device can be adjusted without affecting the normal operation of the vehicle controller.

[0058] The purpose of setting these endpoint values ​​is to ensure that the adjustment of the processing parameters does not exceed the maximum allowed difference, so as to avoid the adjustment effect not meeting expectations or adversely affecting the performance of the vehicle controller. In particular, when the vehicle's ramp angle changes from the current value θ to θ1 or θ2, it means that the change in the vehicle processing parameters has reached the maximum allowed range. In this process, the difference between θ and θ1 is designed to be smaller than the difference between θ2 and θ. This parameter setting strategy is consistent with Figure 3 and Figure 4 In addition, when the slope angle of the vehicle changes significantly, the processing module 200 can recalculate and set the values ​​of θ1 and θ2 according to the new slope information. This dynamic adjustment mechanism enables the vehicle to obtain processing parameters that meet the adjustment capabilities of the vehicle controller under different slope conditions, thereby keeping the vehicle's operating state matched with the current operating conditions, ensuring the stability and performance of the vehicle under special operating conditions.

[0059] Preferably, the processing module 200 has the function of dynamically adjusting the special time interval according to the slope angle change trend monitored by the sensor module 100. When it is monitored that the slope angle shows a trend of gradually decreasing, the processing module 200 will correspondingly shorten the special time interval for the sensor module 100 to obtain the vehicle operating condition data, so as to update the data more frequently and respond quickly. On the contrary, when the slope angle shows a trend of gradually increasing, the processing module 200 will extend this time interval to reduce the frequency of data acquisition and adapt to the situation where the slope changes slowly. This special time interval adjustment strategy is set by the processing module 200 based on the actual monitored slope angle change, ensuring that the slope angle data obtained by the sensor module 100 after a time interval remains between the preset lower endpoint value θ1 and the upper endpoint value θ2. Such a design avoids the need to adjust the processing parameters beyond the maximum allowable difference due to the slope change exceeding the threshold, thereby ensuring that the vehicle's operating state always matches the current operating condition, while avoiding unnecessary impact on the performance of the vehicle controller. Through this fine time interval adjustment, the control module 300 can gradually correct the switching frequency of the pulse width modulation and / or the on-off time of the power device by adopting a small number of multiple adjustment strategies when the slope angle gradually changes. This gradual adjustment method helps to smoothly optimize the vehicle performance, reduce the impact that may be caused to the vehicle controller by large-scale parameter adjustments, and ensure the smooth operation of the vehicle under different slope conditions and maximize the use of the controller performance.

[0060] Preferably, the mapping relationship pre-stored in the memory of the processing module 200 is the influence of the pulse width modulation frequency and the switching time of the power device on the vehicle performance determined by experiments. These relationships are stored in digital form and implemented in the form of an algorithm model. When the real-time monitored vehicle status data is transmitted to the processing module 200, the processing module 200 will synchronize with the pre-stored mapping relationship and quickly retrieve the most suitable processing parameters through an efficient parameter retrieval mechanism. The generation and optimization algorithm of the control instructions ensure that these instructions can adapt to the current vehicle operating conditions and achieve the accuracy and timeliness of the control actions. In addition, the processing module 200 has a feedback loop design, which can adjust the mapping relationship and control parameters according to the feedback information of the execution results of the control module 300, continuously optimize the pre-stored mapping relationship, and improve the accuracy and adaptability of the control strategy.

[0061] Preferably, the construction of the vehicle adaptive control system relies on the use of historical data. Historical data mainly refers to various types of data collected and stored during the past operation of the vehicle. These data may include but are not limited to information such as the vehicle's speed, accelerator pedal signal duration, motor load, power device temperature, ramp angle, etc. These data cover the operation of the vehicle at different slope angles, and also include the pulse width modulation frequency and the switching time of the power device. Through in-depth analysis of these historical data, the device can identify the intrinsic relationship between the pulse width modulation frequency and the switching time of the power device and the slope angle. In particular, the processing module 200 can quantify these relationships and draw them out as follows. Figure 3 and Figure 4 This makes the visual graph easy to identify and read. Figure 3 and Figure 4 As one of the manifestations of the aforementioned mathematical model, it not only shows the ideal parameter values ​​of the power devices at different slope angles, but also provides a clear reference for the controller to make precise adjustments in actual operation. These curves represent the optimal parameter values ​​of the power devices under ideal conditions, ensuring the performance and energy efficiency of the vehicle under different slope conditions.

[0062] Preferably, the processing module 200 first collects and organizes the historical operation data of the vehicle at different slope angles to obtain the original data set of pulse width modulation frequency and power device switching time. Subsequently, through data processing techniques such as data cleaning and normalization, the processing module 200 ensures the accuracy and availability of the data set. Furthermore, the processing module 200 also uses design of experiments (DOE) methods and data fitting techniques, such as polynomial regression or neural networks, to establish mathematical models that describe how these parameters change with the slope angle. These mathematical models elaborate on how the pulse width modulation switching frequency and the on-off time of the power device can be adjusted to achieve the optimal vehicle performance at a specific slope. Figure 3 and Figure 4 It is the specific manifestation of these models that converts complex mathematical relationships into intuitive curve graphs, allowing the control module to quickly retrieve and apply the optimal pulse width modulation frequency and power device switching time based on the real-time monitored slope angle.

[0063] Preferably, Figure 3 The relationship between the slope angle as the horizontal axis and the different frequency values ​​of the pulse width modulation signal as the vertical axis is shown. The marks f1, f2, f3, etc. in the figure represent the specific values ​​of the pulse width modulation frequency set under different slope conditions. These values ​​define the pulse width modulation frequency adjustment strategy required to ensure the optimal motor efficiency and performance. Specifically, f1 indicates a low-frequency setting suitable for steeper slopes, while f3 may correspond to the high-frequency adjustment required for gentle slopes. This relationship diagram reflects the corresponding adjustment needs of the pulse width modulation frequency when the driving conditions change.

[0064] Preferably, Figure 4 The relationship between the horizontal coordinate of the slope angle and the vertical coordinate of the on-off time of the power device is depicted. The marks t1 to t5 in the figure define the specific values ​​of the on-off time of the power device adjusted as the slope changes. Among them, t1 may represent a shorter on-off time suitable for steep slopes, while t5 may represent a longer on-off time adjustment required to cope with gentle slopes. This figure guides how to adapt to the dynamic changes of vehicle load by adjusting the switching strategy of the power device under different slope conditions.

[0065] Preferably, Figure 3 Points A and B in Figure 4 Points A' and B' in the diagram indicate the deviation between the actual operating parameters of the vehicle power device and the ideal parameters. Points A and A' are higher than the ideal range, indicating that the actual parameters are too high, and efficiency needs to be optimized by reducing the pulse width modulation frequency or shortening the on-off time. On the contrary, points B and B' are lower than the ideal range, indicating that the actual parameters are insufficient, and it is recommended to ensure system performance by increasing the pulse width modulation frequency or extending the on-off time. The processing module 200 performs real-time monitoring and adjustment accordingly, aiming to make the operating parameters of the power device accurately match the ideal state, avoid long-term abnormal operation of the vehicle power device, and ensure the high efficiency and stability of the system.

[0066] Preferably, Figure 3 and Figure 4 The following examples are given for different driving speeds (V1, V2, V X , V2>V X >V1), providing a reference for optimizing the dynamic performance of the vehicle. The processing module 200 can adjust according to these parameters to ensure that the power devices can maintain the best working state at different driving speeds.

[0067] Example 2

[0068] This embodiment is a further improvement on Embodiment 1, and the repeated contents will not be repeated here.

[0069] like Figure 1 , Figure 2 As shown, the present invention discloses a method for adaptively adjusting the operating state of a controller, which comprises the following steps:

[0070] Using the sensing module 100 to obtain the operating conditions of the vehicle, and transmitting the operating conditions to the processing module 200 at a certain time interval, wherein the operating conditions include vehicle information and road information;

[0071] Analyze the operating condition using the data set pre-stored in the processing module 200 to determine whether the vehicle meets the adjustment conditions;

[0072] Under the premise of satisfying the adjustment conditions, the processing parameters matching the current operating conditions are retrieved;

[0073] With reference to the processing parameters, the operating state of the vehicle is adapted to the current operating conditions by adjusting the switching frequency of the pulse width modulation and / or the on-off time of the power device of the vehicle controller.

[0074] It should be noted that the above-mentioned specific embodiments are exemplary, and those skilled in the art can come up with various solutions inspired by the disclosure of the present invention, and these solutions also belong to the disclosure scope of the present invention and fall within the protection scope of the present invention. Those skilled in the art should understand that the present invention specification and its drawings are illustrative and do not constitute a limitation of the claims. The scope of protection of the present invention is defined by the claims and their equivalents. The present invention specification contains multiple inventive concepts, such as "preferably" or "according to a preferred embodiment", which means that the corresponding paragraph discloses an independent concept, and the applicant reserves the right to file a divisional application based on each inventive concept. Throughout the text, the features guided by "preferably" are only an optional method and should not be understood as a must-have setting. Therefore, the applicant reserves the right to abandon or delete the relevant preferred features at any time.

Claims

1. A device for adaptively adjusting the operating state of a controller, comprising a sensing module (100), a processing module (200) and a control module (300) which are data-connected to each other, characterized in that: The sensing module (100) is capable of sending the vehicle operating conditions acquired by it, including vehicle information and road information, to the processing module (200) at a certain time interval, wherein the vehicle information includes vehicle speed, accelerator pedal signal duration and temperature of a vehicle controller power device, and the road information includes a ramp angle, and the processing module (200) is capable of classifying the current driving state of the vehicle into a normal operating condition or a special operating condition according to a stability index of the vehicle information and / or the road information; The processing module (200) is capable of analyzing the operating condition with the aid of a data set stored in its memory to determine whether the vehicle meets the adjustment conditions, and, if the adjustment conditions are met, retrieves processing parameters that match the current operating condition and sends them to the control module (300); Referring to the processing parameters, the control module (300) adjusts the switching frequency of the pulse width modulation signal and / or the on-off time of the vehicle controller so that the running state of the vehicle is adapted to the current running condition; When the vehicle is already in a special operating condition, the processing module (200) can use the parameter mapping data pre-stored in its memory and set a specific interval endpoint value for the current slope angle of the vehicle based on the switching frequency of the pulse width modulation signal and / or the maximum allowable difference between the on and off time of the power device, and can dynamically adjust the special time interval and recalculate and determine the interval endpoint value corresponding to the changed slope angle based on the slope angle change trend monitored by the sensor module (100).

2. The adjusting device according to claim 1, characterized in that: When the vehicle is in a normal operating condition, the sensing module (100) uses a normal time interval for data feedback, and the normal time interval is set to a fixed duration by the processing module (200) based on the response characteristics of the vehicle in a stable state; when the vehicle enters a special operating condition, the processing module (200) activates a special time interval mechanism for data feedback, and the special time interval is dynamically adjusted by the processing module (200) based on the data change rate provided by the sensing module (100) and the historical data analysis results stored in the processing module (200).

3. The adjusting device according to claim 1, characterized in that: The processing module (200) is capable of detecting a situation where the vehicle deviates from a preset operating condition threshold, wherein the preset operating condition threshold is determined based on vehicle design performance, historical operating data, and safe operating limits. For a special operating condition, the preset operating condition threshold is an operating condition change rate and / or an operating condition change difference within a special time interval.

4. The adjusting device according to claim 1, characterized in that: The processing module (200) can determine that the vehicle has entered a ramp driving state requiring parameter adjustment based on any one of the following triggering conditions: a decrease or increase in vehicle speed exceeds a normal operating range, an acceleration change exceeds an expected threshold, a motor load reaches its rated power, a power device temperature reaches an overheat protection limit, or a ramp angle detected by a sensor exceeds a threshold.

5. The adjusting device according to claim 1, characterized in that: The control module (300) is capable of outputting a pulse width modulation signal to a motor controller or other actuator, and is capable of feeding back the expected effect of the adjusted pulse width modulation signal to the processing module (200) through a feedback channel; the processing module (200) evaluates the actual effect of the pulse width modulation signal adjustment based on the feedback information of the control module (300) and the actual operating conditions of the vehicle obtained from the sensor module (100).

6. The adjusting device according to claim 1, characterized in that: The control module (300) can adjust the on-resistance and / or off-resistance of the vehicle controller power device to adjust the on-time and / or off-time, wherein the control module (300) can configure the resistance value of the on-resistance and the off-resistance by adjusting the level or pulse width of the control signal.

7. The adjusting device according to claim 1, characterized in that: The processing module (200) pre-stores a mapping relationship between pulse width modulation frequency, power device switching time and vehicle operating conditions; when vehicle status data monitored by the sensor module (100) is transmitted to the processing module (200), the processing module (200) synchronizes with the pre-stored mapping relationship to retrieve appropriate processing parameters.

8. A method for using the device for adaptively adjusting the operating state of a controller according to any one of claims 1 to 7, characterized in that: The method comprises the following steps: Obtain vehicle operating conditions at certain time intervals; Determine whether the vehicle meets the adjustment conditions according to the operating condition; Under the premise of satisfying the adjustment conditions, the processing parameters matching the current operating conditions are retrieved; With reference to the processing parameters, the switching frequency of the pulse width modulation signal and / or the on-off time of the power device of the vehicle controller are adjusted so that the running state of the vehicle is adapted to the current running condition.

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