Engine control method and device, medium and vehicle system

Abstract

The invention provides an engine control method and device, a medium and a vehicle system.The method comprises the steps that in the gear shifting process of a gearbox of a vehicle, the temperature and the atmospheric pressure of the environment where the gearbox is located at the current moment are obtained, and the current environment temperature and the current atmospheric pressure are obtained; according to the current environment temperature, the current atmospheric pressure and the torque deviation mapping relation, target torque is determined, or the current environment temperature and the current atmospheric pressure are processed through a neural network model, and the obtained target torque and torque deviation mapping relation is the mapping relation of the environment temperature, the atmospheric pressure and the torque deviation of the engine. The torque deviation of the engine is the difference value between the actual torque of the engine and the corresponding required torque; the target torque is adopted to control engine operation. The problem that according to an existing scheme, the torque control precision of a gearbox is low in the gear shifting period is difficult to solve is solved.

Description

Technical Field

[0001] This application relates to the field of automatic transmission technology, and more specifically, to an engine control method, an engine control device, a computer-readable storage medium, and a vehicle system. Background Technology

[0002] When the clutch is engaged (i.e., the clutch is depressed), there is no force interference between the engine and the transmission. At this time, the torque output from the engine flywheel is 0 Nm (no load). If the ECU calculates the output torque as 0 Nm, then the calculated torque Trq_cal and the actual torque Trq_act have no deviation, meaning the torque accuracy is high.

[0003] If the deviation between the two is large at this time, for example, Trq_ref is the reference torque (maximum engine torque), when the torque accuracy (Trq_ca-Trq_act) / Trq_ref*100%>2%, it is considered that the torque deviation is large and does not meet the requirements. At this time, the automatic transmission will have the following problems: shift jerking (lower torque clearing and torque return control accuracy), decreased clutch reliability, and longer slip time.

[0004] In other words, existing solutions are insufficient to address the issue of low torque control accuracy during gear shifts in transmissions. Summary of the Invention

[0005] The main objective of this application is to provide an engine control method, an engine control device, a computer-readable storage medium, and a vehicle system, so as to at least solve the problem that existing solutions cannot solve the problem of low torque control accuracy of transmissions during gear shifting.

[0006] To achieve the above objectives, according to one aspect of this application, an engine control method is provided, comprising: while the vehicle's transmission is shifting gears, acquiring the temperature and atmospheric pressure of the environment in which the transmission is located at the current moment to obtain the current ambient temperature and current atmospheric pressure; determining a target torque based on the current ambient temperature, the current atmospheric pressure, and a torque deviation mapping relationship, or processing the current ambient temperature and the current atmospheric pressure using a neural network model to obtain the target torque, wherein the torque deviation mapping relationship is a mapping relationship between ambient temperature, atmospheric pressure, and engine torque deviation, and the engine torque deviation is the difference between the actual torque of the engine and the corresponding required torque; and controlling the engine operation using the target torque.

[0007] Optionally, before obtaining the ambient temperature and atmospheric pressure of the vehicle's transmission at the current moment, the method further includes: determining whether the transmission's shifting process is normal based on the auxiliary braking status, brake pedal status, clutch opening, engine coolant temperature, and the status of the vehicle's cooling system fan, wherein the brake pedal status is either not triggered or triggered; if the transmission's shifting process is determined to be normal, obtaining the engine's speed deviation; if the engine's speed deviation is determined to be within an allowable range for a preset time period, determining the clutch's torque deviation, wherein the engine's speed deviation is the difference between the engine's actual speed and a set speed; and constructing the torque deviation mapping relationship based on the clutch's torque deviation, the corresponding atmospheric pressure, and the corresponding ambient temperature.

[0008] Optionally, constructing the torque deviation mapping relationship based on the clutch torque deviation, the corresponding atmospheric pressure, and the corresponding ambient temperature includes: under the condition that a preset condition is met, constructing the torque deviation mapping relationship based on the clutch torque deviation, the corresponding atmospheric pressure, and the corresponding ambient temperature, wherein the preset condition indicates that the vehicle's air conditioning compressor and air pump are both in a closed state.

[0009] Optionally, determining whether the gearbox shifting process is normal based on the status of the auxiliary braking, the status of the brake pedal, the clutch opening, the engine coolant temperature of the vehicle, and the status of the cooling system fan of the vehicle includes: determining that the gearbox shifting process is normal when the auxiliary braking is not triggered, the brake pedal is not triggered, the clutch opening is greater than a preset opening, the engine coolant temperature is greater than a preset coolant temperature, and the fan is off; and determining that the gearbox shifting process is abnormal when at least one of the following is included: the auxiliary braking is triggered, the brake pedal is triggered, the clutch opening is less than or equal to the preset opening, the engine coolant temperature is less than or equal to the preset coolant temperature, and the fan is on.

[0010] Optionally, determining the target torque based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation includes: obtaining mask information, wherein the mask information is a first value or a second value; if the mask information is the first value, determining that the cooling system fan, air conditioning compressor, and air pump of the vehicle are all turned on; if the mask information is the second value, determining that the cooling system fan, air conditioning compressor, and air pump of the vehicle are all turned off, and determining the target torque based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation.

[0011] Optionally, determining the target torque based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation includes: determining the target torque difference based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation; and determining the target torque as the sum of the current required opening and the target torque difference.

[0012] Optionally, processing the current ambient temperature and the current atmospheric pressure using a neural network model to obtain the target torque includes: processing the current ambient temperature and the current atmospheric pressure using a neural network model to obtain multiple predicted torques and corresponding confidence levels; and determining the target torque as the predicted torque corresponding to the maximum confidence level.

[0013] According to another aspect of this application, an engine control device is provided, comprising: an acquisition unit, configured to acquire the temperature and atmospheric pressure of the environment in which the vehicle's transmission is located at the current moment, to obtain the current ambient temperature and current atmospheric pressure; a first processing unit, configured to determine a target torque based on the current ambient temperature, the current atmospheric pressure, and a torque deviation mapping relationship, or to process the current ambient temperature and the current atmospheric pressure using a neural network model to obtain the target torque, wherein the torque deviation mapping relationship is a mapping relationship between ambient temperature, atmospheric pressure, and engine torque deviation, and the engine torque deviation is the difference between the actual torque of the engine and the corresponding required torque; and a second processing unit, configured to control the engine operation using the target torque.

[0014] According to another aspect of this application, a computer-readable storage medium is provided, the computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform any of the methods described.

[0015] According to another aspect of this application, a vehicle system is provided, comprising: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs including methods for performing any one of the methods described.

[0016] By applying the technical solution of this application and considering the temperature and atmospheric pressure of the vehicle's environment, the control strategy can be adjusted more precisely, ensuring high torque control accuracy under different environmental conditions, thereby improving shift smoothness and overall system stability. This application establishes a mapping relationship between ambient temperature, atmospheric pressure, and clutch torque deviation. This mapping relationship can predict or correct the deviation between the actual clutch torque and the required torque based on real-time environmental parameters, enabling dynamic adjustment of the target torque even during clutch disengagement and engagement, reducing shift jerks and enhancing the driving experience. In addition to the traditional mapping relationship, this application also proposes using a neural network model to process ambient temperature and atmospheric pressure to obtain the target torque. The neural network model has strong nonlinear fitting and self-learning capabilities, enabling it to learn complex and subtle torque adjustment patterns from historical data. Even in the face of unknown environmental conditions, it can make fast and accurate torque adjustment decisions based on existing experience, further improving the intelligence and adaptability of the control method. This solves the problem of low torque control accuracy during gearbox shifts, which is difficult to address with existing solutions. Attached Figure Description

[0017] The accompanying drawings, which form part of this application, are used to provide a further understanding of this application. The illustrative embodiments and descriptions of this application are used to explain this application and do not constitute an undue limitation of this application. In the drawings:

[0018] Figure 1 A schematic flowchart of an engine control method according to an embodiment of this application is shown;

[0019] Figure 2 A schematic flowchart illustrating the process of constructing a torque deviation mapping relationship according to an embodiment of this application is shown;

[0020] Figure 3 A schematic diagram of a process for constructing a torque deviation mapping relationship based on the clutch torque deviation, the corresponding atmospheric pressure, and the corresponding ambient temperature, according to an embodiment of this application, is shown.

[0021] Figure 4 A flowchart illustrating the process of determining whether the gear shifting process of a transmission is normal, according to an embodiment of this application, is shown.

[0022] Figure 5A schematic flowchart of another engine control method provided according to an embodiment of this application is shown;

[0023] Figure 6 A structural block diagram of an engine control device according to an embodiment of this application is shown. Detailed Implementation

[0024] It should be noted that, unless otherwise specified, the embodiments and features described in this application can be combined with each other. This application will now be described in detail with reference to the accompanying drawings and embodiments.

[0025] To enable those skilled in the art to better understand the present application, the technical solutions in the embodiments of the present application will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present application, and not all embodiments. Based on the embodiments in the present application, all other embodiments obtained by those of ordinary skill in the art without creative effort should fall within the scope of protection of the present application.

[0026] It should be noted that the terms "first," "second," etc., in the specification, claims, and accompanying drawings of this application are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate for the embodiments of this application described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0027] As described in the background section, when the clutch is engaged (i.e., the clutch is depressed), there is no force interference between the engine and the transmission. At this time, the torque output from the engine flywheel is 0 Nm (no load). If the ECU calculates the output torque as 0 Nm, then the calculated torque Trq_cal and the actual torque Trq_act have no deviation, meaning the torque accuracy is high. If the deviation is large, for example, if Trq_ref is the reference torque (engine maximum torque), and the torque accuracy (Trq_ca - Trq_act) / Trq_ref * 100% > 2%, the torque deviation is considered large and does not meet the requirements. This will cause the automatic transmission to have the following problems: shift jerking (lower torque clearing and returning control accuracy), decreased clutch reliability, and longer slip time. To solve the problem of low torque control accuracy during gear shifting that existing solutions cannot address, embodiments of this application provide an engine control method, an engine control device, a computer-readable storage medium, and a vehicle system.

[0028] The technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings in the embodiments of the present invention.

[0029] This embodiment provides a method for controlling an engine. It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions. Also, although a logical order is shown in the flowchart, in some cases, the steps shown or described may be executed in a different order than that shown here.

[0030] Figure 1 This is a flowchart of an engine control method according to an embodiment of this application. Figure 1 As shown, the method includes the following steps:

[0031] Step S101: While the vehicle's transmission is shifting gears, obtain the temperature and atmospheric pressure of the environment in which the transmission is located at the current moment, and obtain the current ambient temperature and current atmospheric pressure.

[0032] Step S102: Determine the target torque based on the above-mentioned current ambient temperature, current atmospheric pressure and torque deviation mapping relationship, or use a neural network model to process the above-mentioned current ambient temperature and current atmospheric pressure to obtain the above-mentioned target torque. The above-mentioned torque deviation mapping relationship is the mapping relationship between ambient temperature, atmospheric pressure and engine torque deviation. The above-mentioned engine torque deviation is the difference between the actual torque of the engine and the corresponding required torque.

[0033] Step S103: Control the operation of the engine using the target torque.

[0034] In the above steps, by considering the temperature and atmospheric pressure of the vehicle's environment, the control strategy can be adjusted more precisely, ensuring high torque control accuracy under different environmental conditions, thereby improving shift smoothness and overall system stability. This application establishes a mapping relationship between ambient temperature, atmospheric pressure, and clutch torque deviation. This mapping relationship can predict or correct the deviation between the actual clutch torque and the required torque based on real-time environmental parameters, enabling dynamic adjustment of the target torque even during clutch disengagement and engagement, reducing shift jerks and enhancing the driving experience. In addition to the traditional mapping relationship, this application also proposes using a neural network model to process ambient temperature and atmospheric pressure to obtain the target torque. The neural network model has strong nonlinear fitting and self-learning capabilities, enabling it to learn complex and subtle torque adjustment patterns from historical data. Even in the face of unknown environmental conditions, it can make fast and accurate torque adjustment decisions based on existing experience, further improving the intelligence and adaptability of the control method. This solves the problem of low torque control accuracy during gearbox shifts, which is difficult to address in existing solutions.

[0035] In one embodiment of this application, such as Figure 2 As shown, before obtaining the ambient temperature and atmospheric pressure of the vehicle's transmission at the current moment, the above method further includes the following steps:

[0036] Step S201: Based on the status of the auxiliary brake, the status of the brake pedal, the clutch opening, the engine coolant temperature of the vehicle, and the status of the cooling system fan of the vehicle, determine whether the gear shifting process of the transmission is normal, and whether the brake pedal status is not triggered or triggered.

[0037] Step S202: If the shifting process of the gearbox is determined to be normal, the engine speed deviation is obtained.

[0038] Step S203: If the speed deviation of the engine is within the allowable range within the preset time period, determine the torque deviation of the clutch. The speed deviation of the engine is the difference between the actual speed of the engine and the set speed.

[0039] Step S204: Based on the torque deviation of the clutch, the corresponding atmospheric pressure, and the corresponding ambient temperature, construct the torque deviation mapping relationship.

[0040] Clutch opening refers to the degree of separation of the internal contact surfaces of the clutch during operation, or the clearance between the clutch disc and the pressure plate, usually expressed as a percentage.

[0041] AMT, short for Automated Manual Transmission, is a transmission device that combines a manual transmission with an automatic control system. Its working principle is based on a traditional manual transmission, but it automatically completes gear shifting and clutch operation through an electronic control system and actuators (such as an electric motor-driven shifting mechanism and clutch control mechanism).

[0042] This application provides a specific use case for constructing a torque deviation mapping relationship: a commercial vehicle equipped with an AMT automatic transmission, frequently starting, stopping, and shifting gears in urban traffic environments. When the driver is waiting at traffic lights or encountering low-speed congestion, the vehicle enters an idling state. In this state, the engine continues to run but the vehicle speed is almost zero. At this time, the clutch is usually disengaged, meaning that the mechanical connection between the transmission and the engine is broken, and the engine flywheel is not actually under load.

[0043] Execution Process: First, the ECU (Electronic Control Unit) reads the status of the auxiliary braking system, brake pedal status, clutch opening, engine coolant temperature, and fan status. Assuming the auxiliary braking system is not activated, the brake pedal is not depressed or has been released, the clutch opening is greater than the preset value (usually fully disengaged), the engine coolant temperature is higher than the minimum operating temperature, and the fan is not turned on (ensuring the engine is in normal operating condition), the ECU further determines that if the vehicle is in the process of shifting gears (changing from one gear to another), it determines that the transmission is in a suitable state for torque accuracy learning and continues to monitor the engine speed. When the engine speed stabilizes within the allowable deviation range of the target set speed (e.g., ±10 rpm) and remains so for a period of time t1 (e.g., 1 second), the ECU records the engine torque deviation at this time. The ECU correlates the measured torque deviation with the current atmospheric pressure and ambient temperature to construct a torque deviation mapping relationship, which is used for subsequent adjustments to the torque control strategy under different environmental conditions. During the next vehicle shift, the ECU will look up the corresponding torque deviation correction value from the mapping relationship based on the real-time detected atmospheric pressure and ambient temperature to improve the torque control accuracy during the shift process.

[0044] The beneficial effects of establishing a torque deviation mapping relationship in specific application scenarios are as follows: In urban driving conditions, frequent gear shifting is a common operation, and high-precision torque control can reduce the jerking sensation during gear shifts, making the driving experience smoother and more comfortable; since this learning process occurs spontaneously during natural driving, no additional manual intervention or special testing procedures are required, reducing potential threats to system reliability; by correlating torque deviation with environmental parameters, the vehicle can automatically adjust its torque control strategy under different climatic and geographical conditions, improving overall environmental adaptability and performance consistency; reducing torque errors during gear shifts helps extend the service life of the clutch, reducing the frequency of maintenance due to clutch wear, thereby reducing the long-term operating costs of the vehicle; the automatic learning and correction mechanism makes the vehicle control system more intelligent, capable of self-optimization, without the need for frequent updates to control software or hardware, improving the system's flexibility and intelligence level.

[0045] In one embodiment of this application, such as Figure 3 As shown, a torque deviation mapping relationship is constructed based on the clutch torque deviation, the corresponding atmospheric pressure, and the corresponding ambient temperature, including the following steps:

[0046] Step S301: When it is determined that the preset conditions are met, the torque deviation mapping relationship is constructed based on the torque deviation of the clutch, the corresponding atmospheric pressure, and the corresponding ambient temperature. The preset conditions indicate that the air conditioning compressor and air pump of the vehicle are both in the off state.

[0047] This application provides a specific application scenario for constructing a torque deviation mapping relationship based on clutch torque deviation, corresponding atmospheric pressure, and corresponding ambient temperature: In a driving scenario, a commercial vehicle equipped with an AMT automatic transmission is operating in a mountainous area. In mountainous areas, atmospheric pressure varies significantly due to different altitudes, thus affecting the engine's charging efficiency and final output torque. Furthermore, ambient temperature fluctuates as the vehicle travels, especially during seasons with large temperature differences between day and night, which also affects engine operating characteristics. Therefore, in actual driving, especially during gear shifts, neglecting these factors may lead to inaccurate torque control, causing shift jerking or accelerated clutch wear, thereby reducing driving comfort and vehicle reliability. In this case, the proposed technical solution involves the ECU automatically recording the current engine speed, torque deviation, corresponding atmospheric pressure, and ambient temperature whenever the clutch disengages and the aforementioned preset conditions are met (i.e., auxiliary braking is not engaged, brakes are not applied, clutch opening is greater than the set value, coolant temperature is suitable, gear shifting is in progress, fan is not on, and the air conditioning compressor and air pump are off). This torque deviation mapping is learned during actual driving cycles, not in unnatural conditions or static tests. This means it more accurately reflects the vehicle's dynamic performance in different environments. When the vehicle encounters similar environmental conditions again (such as specific altitudes and ambient temperatures), the ECU can recall the previously established torque deviation mapping to correct the torque control strategy, ensuring smoother shifting, reducing clutch slippage time, and extending its lifespan. Simultaneously, this dynamic learning mechanism can adapt to changes in torque characteristics caused by vehicle aging and component wear, continuously adjusting to maintain good vehicle power performance and driving experience.

[0048] An air pump is generally a device used to inflate tires. Its main function is to compress air and then deliver it into the tires to maintain proper tire pressure. In commercial vehicles, an air pump may also refer to a device that provides compressed air to air brake systems, pneumatic doors, air horns, etc. It is usually installed independently of the engine and air conditioning system in a location on the vehicle, such as the chassis.

[0049] The beneficial effects of constructing a torque deviation mapping relationship based on clutch torque deviation, corresponding atmospheric pressure, and ambient temperature in specific application scenarios are as follows: Through real-time learning and correction, the jerking sensation during gear shifts is greatly reduced, providing a smoother and more stable driving experience; considering the impact of environmental factors on torque control, the system can maintain stable performance under various conditions, reducing the failure rate caused by inaccurate torque control; reducing torque errors during gear shifts can effectively reduce clutch slippage time, thereby extending its service life and reducing maintenance costs; since the learning process is based on actual driving cycles, this solution can better adapt to performance changes in vehicles over long-term use, such as component wear and aging, enabling the control system to continuously optimize and maintain high performance; adopting an ECU automatic learning and adjustment mechanism reduces the complexity of driver operation and also reduces reliance on professional technicians, achieving intelligent torque precision management.

[0050] In one embodiment of this application, such as Figure 4 As shown, based on the status of the auxiliary brakes, the brake pedal status, the clutch opening, the engine coolant temperature of the vehicle, and the status of the cooling system fan, the determination of whether the gearbox shifting process is normal includes the following steps:

[0051] Step S401: When the auxiliary braking is not triggered, the brake pedal is not triggered, the clutch opening is greater than the preset opening, the engine coolant temperature is greater than the preset coolant temperature, and the fan is off, it is determined that the gear shifting process of the transmission is normal.

[0052] Step S402: If at least one of the following conditions is met, the gear shifting process of the transmission is determined to be abnormal: the auxiliary braking state is triggered, the brake pedal state is triggered, the clutch opening degree is less than or equal to the preset opening degree, the engine coolant temperature of the vehicle is less than or equal to the preset coolant temperature, or the fan state is turned on.

[0053] The preset opening degree and preset water temperature can be preset according to specific working conditions.

[0054] Specifically, ensuring that auxiliary braking and the brake pedal are not triggered during gear shifts avoids additional braking force affecting the shifting process, thus reducing shift jerks and improving the driving experience; requiring the clutch opening to be greater than a preset opening before shifting avoids shifting in a partially engaged clutch state, reducing the risk of wear and overheating and extending clutch life; specifying that the engine coolant temperature must be higher than a preset temperature before shifting ensures the engine reaches its optimal operating temperature, avoiding potential damage from cold starts or shifting at low temperatures, and improving engine efficiency and stability; incorporating fan status ensures more reasonable shifting when the fan is off (i.e., low cooling demand), preventing engine and transmission overheating issues that may occur during high-temperature shifting; by monitoring these key parameters, the shifting strategy can be adjusted or warnings issued in a timely manner when the vehicle is in poor condition, avoiding shifting failures or damage due to abnormal conditions, enhancing the overall system reliability and safety; this multi-parameter comprehensive judgment strategy can more accurately identify various potential problems during the shifting process, helping to further optimize and fine-tune the shifting control algorithm and improve the performance of the entire AMT automatic transmission system.

[0055] In one embodiment of this application, determining the target torque based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation includes: obtaining mask information, wherein the mask information is a first value or a second value; if the mask information is the first value, determining that the cooling system fan, air conditioning compressor, and air pump of the vehicle are all turned on; if the mask information is the second value, determining that the cooling system fan, air conditioning compressor, and air pump of the vehicle are all turned off, and determining the target torque based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation, thereby ignoring the influence of accessories (i.e., the fan, air conditioning compressor, and air pump) on the torque.

[0056] Specifically, this allows the control system to adjust the target torque more precisely, taking into account the impact of different operating environments (such as high altitude or high temperature) on engine output, thereby improving the accuracy and stability of torque control. By considering environmental factors such as atmospheric pressure and temperature, the control system can automatically adjust its strategy to ensure optimal torque output under various conditions, avoiding performance degradation or inconsistency caused by environmental changes; the use of masking information can detect and account for the impact of additional loads (such as the operation of fans, air conditioning compressors, and air pumps) on torque output. When these accessories are engaged, they consume some engine power, resulting in a reduction in actual output torque. By recognizing these states, the system can make appropriate compensations when calculating the target torque, ensuring that the expected torque control effect is achieved even when accessories are engaged; more precise torque control helps improve shift smoothness and vehicle responsiveness, reduces jerking during driving, and improves overall driving comfort and performance.

[0057] In one embodiment of this application, determining the target torque based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation includes: determining the target torque difference based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation; and determining the target torque as the sum of the current required opening and the target torque difference.

[0058] Specifically, traditional torque control methods often neglect the impact of environmental factors on torque output. Introducing ambient temperature and atmospheric pressure as correction parameters allows the torque control strategy to better adapt to different operating environments, thus maintaining high torque accuracy under various conditions. Since vehicle performance varies in different environments, considering environmental factors in the correction can more effectively address vehicle consistency issues, ensuring that different vehicles perform similarly under the same conditions, thereby improving the overall performance consistency of the fleet. Improved torque accuracy means more precise torque control during gear shifts, reducing shift jerks and improving driving comfort and shift smoothness, which is especially important for AMT transmissions. Reducing torque deviation also reduces clutch slippage time during gear shifts, thereby reducing wear, extending clutch life, and lowering maintenance costs.

[0059] In one embodiment of this application, a neural network model is used to process the current ambient temperature and the current atmospheric pressure to obtain the target torque, including: processing the current ambient temperature and the current atmospheric pressure using a neural network model to obtain multiple predicted torques and corresponding confidence levels; and determining the target torque as the predicted torque corresponding to the maximum confidence level.

[0060] Specifically, neural network models can capture the complex nonlinear relationship between ambient temperature, atmospheric pressure, and torque, which may be difficult to achieve with traditional mathematical models. By training neural networks, the deep dependencies between these variables can be learned, thus predicting the target torque more accurately. The adaptive learning capability of neural networks means that they can adjust their predictions based on real-time environmental changes during vehicle operation. This dynamic adjustment capability makes torque prediction more accurate, especially in addressing vehicle consistency issues under different environmental conditions, providing more stable torque control. Neural network models excel in handling noise and outlier data, allowing them to provide relatively accurate torque predictions even in real-world driving environments where sensor data is erroneous or unstable. This robustness is crucial for ensuring smooth gear shifting under various conditions. Calculating the confidence level of each predicted torque can further improve prediction accuracy. Confidence level reflects the model's confidence in the prediction results; selecting the predicted torque with the highest confidence level as the target torque ensures that the torque control strategy is executed at the torque value most likely to be correct.

[0061] To enable those skilled in the art to better understand the technical solution of this application, the implementation process of the engine control method of this application will be described in detail below with reference to specific embodiments.

[0062] This embodiment relates to a specific engine control method, such as... Figure 5 As shown, it includes:

[0063] Based on the status of the auxiliary brakes, the status of the brake pedal, the clutch opening, the engine coolant temperature, and the status of the vehicle's cooling system fan, determine whether the gearbox shifting process is normal, and whether the brake pedal is either not triggered or triggered.

[0064] Assuming the gearbox shifting process is normal, obtain the engine speed deviation;

[0065] Under the condition that the engine speed deviation is within the allowable range within the preset time period, the clutch torque deviation is determined, and the engine speed deviation is the difference between the actual engine speed and the set speed.

[0066] A torque deviation mapping relationship is constructed based on the clutch torque deviation, the corresponding atmospheric pressure, and the corresponding ambient temperature.

[0067] While the vehicle's transmission is shifting gears, obtain the temperature and atmospheric pressure of the environment in which the transmission is located at the current moment, and obtain the current ambient temperature and current atmospheric pressure;

[0068] Obtain the mask information, which is either the first value or the second value;

[0069] The first value is 1, and the second value is 0.

[0070] When the mask information is the second value, the target torque is determined based on the mapping relationship between the current ambient temperature, current atmospheric pressure and torque deviation. Alternatively, a neural network model can be used to process the current ambient temperature and current atmospheric pressure to obtain the target torque. The torque deviation mapping relationship is the mapping relationship between ambient temperature, atmospheric pressure and engine torque deviation. The engine torque deviation is the difference between the engine's actual torque and the corresponding required torque.

[0071] The engine operation is controlled by a target torque.

[0072] It should be noted that the steps shown in the flowchart in the accompanying drawings can be executed in a computer system such as a set of computer-executable instructions, and although a logical order is shown in the flowchart, in some cases the steps shown or described may be executed in a different order than that shown here.

[0073] This application also provides an engine control device. It should be noted that the engine control device of this application embodiment can be used to execute the engine control method provided in this application embodiment. This device is used to implement the above embodiments and preferred embodiments; details already described will not be repeated. As used below, the term "module" can refer to a combination of software and / or hardware that implements a predetermined function. Although the device described in the following embodiments is preferably implemented in software, hardware implementation, or a combination of software and hardware, is also possible and contemplated.

[0074] The following describes the engine control device provided in the embodiments of this application.

[0075] Figure 6 This is a schematic diagram of an engine control device according to an embodiment of this application. Figure 6 As shown, the device includes:

[0076] The acquisition unit 61 is used to acquire the ambient temperature and atmospheric pressure of the vehicle's transmission at the current moment, and obtain the current ambient temperature and current atmospheric pressure; the first processing unit 62 is used to determine the target torque based on the above-mentioned current ambient temperature, the above-mentioned current atmospheric pressure and torque deviation mapping relationship, or to process the above-mentioned current ambient temperature and the above-mentioned current atmospheric pressure using a neural network model to obtain the above-mentioned target torque, wherein the above-mentioned torque deviation mapping relationship is the mapping relationship between ambient temperature, atmospheric pressure and engine torque deviation, and the above-mentioned engine torque deviation is the difference between the actual torque of the above-mentioned engine and the corresponding required torque; the second processing unit 63 is used to control the operation of the above-mentioned engine using the above-mentioned target torque.

[0077] In the aforementioned device, by considering the temperature and atmospheric pressure of the vehicle's environment, the control strategy can be adjusted more precisely, ensuring high torque control accuracy under different environmental conditions, thereby improving shift smoothness and overall system stability. This application establishes a mapping relationship between ambient temperature, atmospheric pressure, and clutch torque deviation. This mapping relationship can predict or correct the deviation between the actual clutch torque and the required torque based on real-time environmental parameters, enabling dynamic adjustment of the target torque even during clutch disengagement and engagement, reducing shift jerks and enhancing the driving experience. In addition to the traditional mapping relationship, this application also proposes using a neural network model to process ambient temperature and atmospheric pressure to obtain the target torque. The neural network model has strong nonlinear fitting and self-learning capabilities, enabling it to learn complex and subtle torque adjustment patterns from historical data. Even in the face of unknown environmental conditions, it can make fast and accurate torque adjustment decisions based on existing experience, further improving the intelligence and adaptability of the control method. This solves the problem of low torque control accuracy during gearbox shifts, which is difficult to address in existing solutions.

[0078] In one embodiment of this application, the above-mentioned device further includes: a third processing unit configured to, before obtaining the ambient temperature and atmospheric pressure of the vehicle's transmission at the current moment, determine whether the transmission's shifting process is normal based on the auxiliary braking state, brake pedal state, clutch opening, engine coolant temperature, and the state of the vehicle's cooling system fan, wherein the brake pedal state is either not triggered or triggered; a fourth processing unit configured to, when the transmission's shifting process is determined to be normal, obtain the engine's speed deviation; a fifth processing unit configured to, when the engine's speed deviation is determined to be within an allowable range for a preset time period, determine the clutch's torque deviation, wherein the engine's speed deviation is the difference between the engine's actual speed and a set speed; and a sixth processing unit configured to, based on the clutch's torque deviation, the corresponding atmospheric pressure, and the corresponding ambient temperature, construct the torque deviation mapping relationship.

[0079] In urban driving conditions, frequent gear shifting is a common operation, and high-precision torque control can reduce the jerking sensation during gear shifts, making the driving experience smoother and more comfortable. Since this learning process occurs spontaneously during natural driving, no additional manual intervention or special testing procedures are required, reducing potential threats to system reliability. By correlating torque deviation with environmental parameters, the vehicle can automatically adjust its torque control strategy under different climatic and geographical conditions, improving overall environmental adaptability and performance consistency. Reducing torque errors during gear shifts helps extend clutch life and reduce the frequency of maintenance due to clutch wear, thereby reducing the long-term operating costs of the vehicle. The automatic learning and correction mechanism makes the vehicle control system more intelligent, capable of self-optimization without frequent updates to control software or hardware, improving the system's flexibility and intelligence level.

[0080] In one embodiment of this application, the sixth processing unit includes: a construction module for constructing the torque deviation mapping relationship based on the torque deviation of the clutch, the corresponding atmospheric pressure, and the corresponding ambient temperature when a preset condition is met, wherein the preset condition indicates that the air conditioning compressor and the air pump of the vehicle are both in a closed state.

[0081] Through real-time learning and correction, the jerkiness during gear shifts is greatly reduced, providing a smoother and more stable driving experience. Considering the impact of environmental factors on torque control, the system maintains stable performance under various conditions, reducing the failure rate caused by inaccurate torque control. Reducing torque errors during gear shifts effectively lowers clutch slippage time, thereby extending its service life and reducing maintenance costs. Since the learning process is based on actual driving cycles, this solution better adapts to performance changes in vehicles over long-term use, such as component wear and aging, enabling continuous optimization of the control system and maintaining high performance. The ECU's automatic learning and adjustment mechanism reduces the complexity of driver operation and also reduces reliance on professional technicians, achieving intelligent torque precision management.

[0082] In one embodiment of this application, the third processing unit includes: a first determining module configured to determine that the gearbox shifting process is normal when the auxiliary braking is not triggered, the brake pedal is not triggered, the clutch opening is greater than a preset opening, the engine coolant temperature is greater than a preset coolant temperature, and the fan is off; and a second determining module configured to determine that the gearbox shifting process is abnormal when at least one of the following conditions is met: the auxiliary braking is triggered, the brake pedal is triggered, the clutch opening is less than or equal to the preset opening, the engine coolant temperature is less than or equal to the preset coolant temperature, and the fan is on.

[0083] Specifically, ensuring that auxiliary braking and the brake pedal are not triggered during gear shifts avoids additional braking force affecting the shifting process, thus reducing shift jerks and improving the driving experience; requiring the clutch opening to be greater than a preset opening before shifting avoids shifting in a partially engaged clutch state, reducing the risk of wear and overheating and extending clutch life; specifying that the engine coolant temperature must be higher than a preset temperature before shifting ensures the engine reaches its optimal operating temperature, avoiding potential damage from cold starts or shifting at low temperatures, and improving engine efficiency and stability; incorporating fan status ensures more reasonable shifting when the fan is off (i.e., low cooling demand), preventing engine and transmission overheating issues that may occur during high-temperature shifting; by monitoring these key parameters, the shifting strategy can be adjusted or warnings issued in a timely manner when the vehicle is in poor condition, avoiding shifting failures or damage due to abnormal conditions, enhancing the overall system reliability and safety; this multi-parameter comprehensive judgment strategy can more accurately identify various potential problems during the shifting process, helping to further optimize and fine-tune the shifting control algorithm and improve the performance of the entire AMT automatic transmission system.

[0084] In one embodiment of this application, the first processing unit includes: an acquisition module for acquiring mask information, wherein the mask information is a first value or a second value; a third determination module for determining that the cooling system fan, air conditioning compressor, and air pump of the vehicle are all turned on when the mask information is the first value; and a fourth determination module for determining that the cooling system fan, air conditioning compressor, and air pump of the vehicle are all turned off when the mask information is the second value, and determining the target torque based on the current ambient temperature, the current atmospheric pressure, and the torque deviation mapping relationship.

[0085] Specifically, this allows the control system to adjust the target torque more precisely, taking into account the impact of different operating environments (such as high altitude or high temperature) on engine output, thereby improving the accuracy and stability of torque control. By considering environmental factors such as atmospheric pressure and temperature, the control system can automatically adjust its strategy to ensure optimal torque output under various conditions, avoiding performance degradation or inconsistency caused by environmental changes; the use of masking information can detect and account for the impact of additional loads (such as the operation of fans, air conditioning compressors, and air pumps) on torque output. When these accessories are engaged, they consume some engine power, resulting in a reduction in actual output torque. By recognizing these states, the system can make appropriate compensations when calculating the target torque, ensuring that the expected torque control effect is achieved even when accessories are engaged; more precise torque control helps improve shift smoothness and vehicle responsiveness, reduces jerking during driving, and improves overall driving comfort and performance.

[0086] In one embodiment of this application, the first processing unit includes: a fifth determining module for determining a target torque difference based on the current ambient temperature, the current atmospheric pressure, and the torque deviation mapping relationship; and a sixth determining module for determining that the target torque is the sum of the current required opening and the target torque difference.

[0087] Specifically, traditional torque control methods often neglect the impact of environmental factors on torque output. Introducing ambient temperature and atmospheric pressure as correction parameters allows the torque control strategy to better adapt to different operating environments, thus maintaining high torque accuracy under various conditions. Since vehicle performance varies in different environments, considering environmental factors in the correction can more effectively address vehicle consistency issues, ensuring that different vehicles perform similarly under the same conditions, thereby improving the overall performance consistency of the fleet. Improved torque accuracy means more precise torque control during gear shifts, reducing shift jerks and improving driving comfort and shift smoothness, which is especially important for AMT transmissions. Reducing torque deviation also reduces clutch slippage time during gear shifts, thereby reducing wear, extending clutch life, and lowering maintenance costs.

[0088] In one embodiment of this application, the first processing unit includes: a first processing module for processing the current ambient temperature and the current atmospheric pressure using a neural network model to obtain multiple predicted torques and corresponding confidence levels; and a second processing module for determining the target torque as the predicted torque corresponding to the maximum confidence level.

[0089] Specifically, neural network models can capture the complex nonlinear relationship between ambient temperature, atmospheric pressure, and torque, which may be difficult to achieve with traditional mathematical models. By training neural networks, the deep dependencies between these variables can be learned, thus predicting the target torque more accurately. The adaptive learning capability of neural networks means that they can adjust their predictions based on real-time environmental changes during vehicle operation. This dynamic adjustment capability makes torque prediction more accurate, especially in addressing vehicle consistency issues under different environmental conditions, providing more stable torque control. Neural network models excel in handling noise and outlier data, allowing them to provide relatively accurate torque predictions even in real-world driving environments where sensor data is erroneous or unstable. This robustness is crucial for ensuring smooth gear shifting under various conditions. Calculating the confidence level of each predicted torque can further improve prediction accuracy. Confidence level reflects the model's confidence in the prediction results; selecting the predicted torque with the highest confidence level as the target torque ensures that the torque control strategy is executed at the torque value most likely to be correct.

[0090] The control device for the aforementioned engine includes a processor and a memory. The acquisition unit, the first processing unit, and the second processing unit are all stored as program units in the memory. The processor executes these program units stored in the memory to achieve the corresponding functions. All of the above modules reside in the same processor; alternatively, the modules may be located in different processors in any combination.

[0091] The processor contains a kernel, which retrieves the corresponding program units from memory. One or more kernels can be configured, and adjusting kernel parameters can address the problem of low torque control accuracy during gear shifts in transmissions, a problem that existing solutions struggle to solve.

[0092] The memory may include non-permanent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM, and the memory includes at least one memory chip.

[0093] This invention provides a computer-readable storage medium including a stored program, wherein, when the program is executed, it controls the device containing the computer-readable storage medium to perform the engine control method.

[0094] This invention provides a processor for running a program, wherein the program executes the engine control method during runtime.

[0095] This invention provides a device including a processor, a memory, and a program stored in the memory and executable on the processor. When the processor executes the program, it performs at least the following steps: While the vehicle's transmission is shifting gears, it acquires the ambient temperature and atmospheric pressure of the environment in which the transmission is located at the current moment, obtaining the current ambient temperature and atmospheric pressure; based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and torque deviation, it determines a target torque, or, using a neural network model to process the current ambient temperature and the current atmospheric pressure, obtains the target torque. The torque deviation mapping relationship is a mapping relationship between ambient temperature, atmospheric pressure, and engine torque deviation, where the engine torque deviation is the difference between the engine's actual torque and the corresponding required torque; and it controls the engine operation using the target torque. The device described herein can be a server, PC, PAD, mobile phone, etc.

[0096] This application also provides a computer program product, which, when executed on a data processing device, is suitable for executing an initialization program having at least the following method steps: While the vehicle's transmission is shifting gears, acquire the temperature and atmospheric pressure of the environment in which the transmission is located at the current moment to obtain the current ambient temperature and current atmospheric pressure; determine a target torque based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and torque deviation; or, process the current ambient temperature and the current atmospheric pressure using a neural network model to obtain the target torque, wherein the torque deviation mapping relationship is a mapping relationship between ambient temperature, atmospheric pressure, and engine torque deviation, and the engine torque deviation is the difference between the actual torque of the engine and the corresponding required torque; and control the engine operation using the target torque.

[0097] This application also provides a vehicle system, including: one or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, and the one or more programs include methods for performing any of the above-described methods. By considering the temperature and atmospheric pressure of the vehicle's environment, the control strategy can be adjusted more precisely to ensure high torque control accuracy under different environmental conditions, thereby improving shift smoothness and overall system stability. This application establishes a mapping relationship between ambient temperature, atmospheric pressure, and clutch torque deviation. This mapping relationship can predict or correct the deviation between the actual clutch torque and the required torque based on real-time environmental parameters, enabling dynamic adjustment of the target torque even during clutch disengagement and engagement, reducing shift jerks and enhancing the driving experience. In addition to the traditional mapping relationship, this application also proposes using a neural network model to process ambient temperature and atmospheric pressure to obtain the target torque. The neural network model has strong nonlinear fitting capabilities and self-learning capabilities, enabling it to learn complex and subtle torque adjustment patterns from historical data. Even in the face of unknown environmental conditions, it can make fast and accurate torque adjustment decisions based on existing experience, further improving the intelligence and adaptability of the control method. This solves the problem of low torque control accuracy during gear shifts, which is difficult to address with existing solutions.

[0098] It is obvious to those skilled in the art that the modules or steps of the present invention described above can be implemented using general-purpose computing devices. They can be centralized on a single computing device or distributed across a network of multiple computing devices. They can be implemented using computer-executable program code, and thus can be stored in a storage device for execution by a computing device. In some cases, the steps shown or described can be performed in a different order than those described herein, or they can be fabricated as separate integrated circuit modules, or multiple modules or steps can be fabricated as a single integrated circuit module. Thus, the present invention is not limited to any particular combination of hardware and software.

[0099] Those skilled in the art will understand that embodiments of this application can be provided as methods, systems, or computer program products. Therefore, this application can take the form of a completely hardware embodiment, a completely software embodiment, or an embodiment combining software and hardware aspects. Furthermore, this application can take the form of a computer program product embodied on one or more computer-usable storage media (including but not limited to disk storage, CD-ROM, optical storage, etc.) containing computer-usable program code.

[0100] This application is described with reference to flowchart illustrations and / or block diagrams of methods, apparatus (systems), and computer program products according to embodiments of this application. It will be understood that each block of the flowchart illustrations and / or block diagrams, and combinations of blocks in the flowchart illustrations and / or block diagrams, can be implemented by computer program instructions. These computer program instructions can be provided to a processor of a general-purpose computer, special-purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, generate instructions for implementing the flowchart... Figure 1 One or more processes and / or boxes Figure 1 A device that provides the functions specified in one or more boxes.

[0101] These computer program instructions may also be stored in a computer-readable storage medium that can direct a computer or other programmable data processing device to function in a particular manner, such that the instructions stored in the computer-readable storage medium produce an article of manufacture including instruction means, which are implemented in a process Figure 1 One or more processes and / or boxes Figure 1 The function specified in one or more boxes.

[0102] These computer program instructions may also be loaded onto a computer or other programmable data processing equipment to cause a series of operational steps to be performed on the computer or other programmable equipment to produce a computer-implemented process, thereby providing instructions that execute on the computer or other programmable equipment for implementing the process. Figure 1 One or more processes and / or boxes Figure 1 The steps of the function specified in one or more boxes.

[0103] In a typical configuration, a computing device includes one or more processors (CPU), input / output interfaces, network interfaces, and memory.

[0104] Memory may include non-persistent memory in computer-readable media, such as random access memory (RAM) and / or non-volatile memory, such as read-only memory (ROM) or flash RAM. Memory is an example of computer-readable media.

[0105] Computer-readable media includes both permanent and non-permanent, removable and non-removable media that can store information using any method or technology. Information can be computer-readable instructions, data structures, modules of programs, or other data. Examples of computer storage media include, but are not limited to, phase-change memory (PRAM), static random access memory (SRAM), dynamic random access memory (DRAM), other types of random access memory (RAM), read-only memory (ROM), electrically erasable programmable read-only memory (EEPROM), flash memory or other memory technologies, CD-ROM, digital versatile optical disc (DVD) or other optical storage, magnetic tape, disk storage or other magnetic storage devices, or any other non-transferable medium that can be used to store information accessible by a computing device. As defined herein, computer-readable media does not include transient computer-readable media, such as modulated data signals and carrier waves.

[0106] The technical features of the above embodiments can be combined in any way. For the sake of brevity, not all possible combinations of the technical features in the above embodiments are described. However, as long as there is no contradiction in the combination of these technical features, they should be considered to be within the scope of this specification.

[0107] It should also be noted that the terms "comprising," "including," or any other variations thereof are intended to cover non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements includes not only those elements but also other elements not expressly listed, or elements inherent to such process, method, article, or apparatus. Unless otherwise specified, an element defined by the phrase "comprising one..." does not exclude the presence of other identical elements in the process, method, article, or apparatus that includes that element.

[0108] As can be seen from the above description, the embodiments of this application achieve the following technical effects:

[0109] 1) The engine control method of this application, by considering the temperature and atmospheric pressure of the vehicle's environment, can more accurately adjust the control strategy, ensuring high torque control precision under different environmental conditions, thereby improving shift smoothness and overall system stability. This application establishes a mapping relationship between ambient temperature, atmospheric pressure, and clutch torque deviation. This mapping relationship can predict or correct the deviation between the actual clutch torque and the required torque based on real-time environmental parameters, enabling dynamic adjustment of the target torque even during clutch disengagement and engagement, reducing shift jerks and enhancing the driving experience. In addition to the traditional mapping relationship, this application also proposes using a neural network model to process ambient temperature and atmospheric pressure to obtain the target torque. The neural network model has strong nonlinear fitting and self-learning capabilities, enabling it to learn complex and subtle torque adjustment patterns from historical data. Even in the face of unknown environmental conditions, it can make fast and accurate torque adjustment decisions based on existing experience, further improving the intelligence and adaptability of the control method. This solves the problem of low torque control precision during gearbox shifts, which is difficult to address in existing solutions.

[0110] 2) The engine control device of this application, by considering the temperature and atmospheric pressure of the vehicle's environment, can more accurately adjust the control strategy, ensuring high torque control precision under different environmental conditions, thereby improving shift smoothness and overall system stability. This application establishes a mapping relationship between ambient temperature, atmospheric pressure, and clutch torque deviation. This mapping relationship can predict or correct the deviation between the actual clutch torque and the required torque based on real-time environmental parameters, enabling dynamic adjustment of the target torque even during clutch disengagement and engagement, reducing shift jerks and enhancing the driving experience. In addition to the traditional mapping relationship, this application also proposes using a neural network model to process ambient temperature and atmospheric pressure to obtain the target torque. The neural network model has strong nonlinear fitting and self-learning capabilities, enabling it to learn complex and subtle torque adjustment patterns from historical data. Even in the face of unknown environmental conditions, it can make fast and accurate torque adjustment decisions based on existing experience, further improving the intelligence and adaptability of the control method. This solves the problem of low torque control precision during gearbox shifts, which is difficult to address in existing solutions.

[0111] The above description is merely a preferred embodiment of this application and is not intended to limit this application. Various modifications and variations can be made to this application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc., made within the spirit and principles of this application should be included within the protection scope of this application.

Claims

1. A method for controlling an engine, characterized in that, include: While the vehicle's transmission is shifting gears, the temperature and atmospheric pressure of the environment in which the transmission is located at the current moment are obtained, thus obtaining the current ambient temperature and current atmospheric pressure; The target torque is determined based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation. Alternatively, the target torque can be obtained by processing the current ambient temperature and the current atmospheric pressure using a neural network model. The torque deviation mapping relationship is the mapping relationship between ambient temperature, atmospheric pressure, and engine torque deviation. The engine torque deviation is the difference between the actual torque of the engine and the corresponding required torque. The engine operation is controlled using the target torque.

2. The method according to claim 1, characterized in that, Before obtaining the ambient temperature and atmospheric pressure of the vehicle's transmission environment at the current moment, the method further includes: Based on the status of the auxiliary braking, the status of the brake pedal, the clutch opening, the engine coolant temperature of the vehicle, and the status of the cooling system fan, determine whether the gearbox shifting process is normal, and whether the brake pedal status is not triggered or triggered. Under the condition that the gearbox shifting process is normal, the engine speed deviation is obtained; If the engine speed deviation is within the allowable range within a preset time period, the clutch torque deviation is determined, and the engine speed deviation is the difference between the actual engine speed and the set speed. The torque deviation mapping relationship is constructed based on the clutch torque deviation, the corresponding atmospheric pressure, and the corresponding ambient temperature.

3. The method according to claim 2, characterized in that, Based on the torque deviation of the clutch, the corresponding atmospheric pressure, and the corresponding ambient temperature, a torque deviation mapping relationship is constructed, including: Under the condition that the preset conditions are met, the torque deviation mapping relationship is constructed based on the torque deviation of the clutch, the corresponding atmospheric pressure and the corresponding ambient temperature, wherein the preset conditions indicate that the air conditioning compressor and air pump of the vehicle are both in the off state.

4. The method according to claim 2, characterized in that, Based on the status of the auxiliary braking, the brake pedal status, the clutch opening, the engine coolant temperature, and the status of the vehicle's cooling system fan, determine whether the gearbox's shifting process is normal, including: If the auxiliary braking is not triggered, the brake pedal is not triggered, the clutch opening is greater than the preset opening, the engine coolant temperature is greater than the preset coolant temperature, and the fan is off, then the gear shifting process of the transmission is determined to be normal. If at least one of the following conditions is met, the gear shifting process of the transmission is determined to be abnormal: the auxiliary braking is activated, the brake pedal is activated, the clutch opening is less than or equal to the preset opening, the engine coolant temperature is less than or equal to the preset coolant temperature, or the fan is turned on.

5. The method according to claim 1, characterized in that, The target torque is determined based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation, including: Obtain mask information, wherein the mask information is a first value or a second value; If the mask information is the first value, it is determined that the cooling system fan, air conditioning compressor and air pump of the vehicle are all turned on; When the mask information is the second value, it is determined that the cooling system fan, air conditioning compressor and air pump of the vehicle are all turned off, and the target torque is determined according to the current ambient temperature, the current atmospheric pressure and the torque deviation mapping relationship.

6. The method according to claim 1, characterized in that, The target torque is determined based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation, including: The target torque difference is determined based on the mapping relationship between the current ambient temperature, the current atmospheric pressure, and the torque deviation. The target torque is determined to be the sum of the difference between the current required opening and the target torque.

7. The method according to any one of claims 1 to 6, characterized in that, The target torque is obtained by processing the current ambient temperature and the current atmospheric pressure using a neural network model, including: A neural network model is used to process the current ambient temperature and the current atmospheric pressure to obtain multiple predicted torques and their corresponding confidence levels; The target torque is determined to be the predicted torque corresponding to the maximum confidence level.

8. A control device for an engine, characterized in that, include: The acquisition unit is used to acquire the temperature and atmospheric pressure of the environment in which the vehicle's transmission is located at the current moment, and to obtain the current ambient temperature and current atmospheric pressure; The first processing unit is used to determine the target torque based on the current ambient temperature, the current atmospheric pressure and the torque deviation mapping relationship, or to process the current ambient temperature and the current atmospheric pressure using a neural network model to obtain the target torque. The torque deviation mapping relationship is the mapping relationship between ambient temperature, atmospheric pressure and engine torque deviation, and the engine torque deviation is the difference between the actual torque of the engine and the corresponding required torque. The second processing unit is used to control the engine operation using the target torque.

9. A computer-readable storage medium, characterized in that, The computer-readable storage medium includes a stored program, wherein, when the program is executed, it controls the device on which the computer-readable storage medium is located to perform the method according to any one of claims 1 to 7.

10. A vehicle system, characterized in that, include: One or more processors, a memory, and one or more programs, wherein the one or more programs are stored in the memory and configured to be executed by the one or more processors, the one or more programs comprising methods for performing any one of claims 1 to 7.

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