Health monitoring method of hybrid power system and vehicle

Abstract

The invention provides a health monitoring method of a hybrid power system and a vehicle, the method is applied to the field of vehicles, and the method comprises the following steps: detecting whether the vehicle is in a target working condition; wherein the target working condition represents that an engine of the vehicle is in a stable state; if the vehicle is in the target working condition, target parameters representing the health state of a hybrid power system of the vehicle are monitored within a preset duration; and identifying the health degree of the hybrid power system according to the target parameter. According to the method, the accuracy and convenience of health monitoring of the hybrid power system can be improved.

Description

Technical Field

[0001] The present application relates to the field of vehicles, and more specifically, to a health monitoring method for a hybrid system and a vehicle in the field of vehicles. Background Art

[0002] As global environmental issues become increasingly severe, emission reduction has become an important task for the development of the automotive industry. As a new type of automotive product, hybrid vehicles can not only reduce fuel consumption but also reduce emissions. Therefore, hybrid vehicles will become the mainstream of the automotive industry for a long time in the future.

[0003] During the use of hybrid vehicles, a series of consumption processes will occur inside the hybrid system, such as battery aging, decreased motor efficiency, and internal wear of the engine, which will affect the overall health state (SOH) of the hybrid system, thereby indirectly affecting the vehicle's driving performance and fuel economy. At present, in order to evaluate the health of the hybrid system, a common method is to have professionals at 4S stores conduct regular inspections of the vehicle, which may include disassembling some components to analyze their conditions in more detail. However, the method of regularly inspecting and disassembling some components is not acceptable to all users, and it is time-consuming, the identification method is complex, and the identification accuracy is also limited by the experience of professionals. Therefore, how to improve the accuracy and convenience of health monitoring of hybrid systems has become a technical problem that needs to be solved urgently. Summary of the invention

[0004] The present application provides a hybrid system health monitoring method and a vehicle, which can improve the accuracy and convenience of the hybrid system health monitoring.

[0005] In a first aspect, a health monitoring method for a hybrid system is provided, the method comprising: detecting whether a vehicle is in a target operating condition; wherein the target operating condition indicates that the engine of the vehicle is in a stable state; if the vehicle is in the target operating condition, monitoring a target parameter indicating the health state of the hybrid system of the vehicle within a preset time period; and identifying the health state of the hybrid system based on the target parameter.

[0006] The above technical solution monitors when the engine is in a stable state, which can ensure that the collected target parameters are more stable and reliable, and avoid the influence of transient fluctuations on the monitoring results. Therefore, the health of the hybrid system is more accurately identified. By selecting key parameters closely related to the health status, namely target parameters, the interference of irrelevant factors is reduced, so that the monitoring results can better reflect the true health status of the hybrid system, and improve the efficiency and accuracy of health monitoring. Due to the use of non-invasive monitoring methods, there is no need to disassemble the vehicle, which greatly reduces the user's waiting time and inconvenience and improves the user experience. During daily driving, the vehicle is automatically monitored when it is in the target working condition, without the need for special inspection, which realizes more convenient health status monitoring. Automated monitoring reduces dependence on professionals, reduces maintenance costs and the risk of human errors.

[0007] In combination with the first aspect, in certain possible implementations, if the vehicle is in the target operating condition, the target parameters characterizing the health status of the hybrid system of the vehicle are monitored within a preset time period, including: if the vehicle is in the target operating condition, the motor is controlled to drive the engine to rotate so that the engine speed reaches the target speed; when the engine speed reaches the target speed, the target parameters characterizing the health status of the hybrid system of the vehicle are monitored within a preset time period.

[0008] The above technical solution uses a motor to drag the engine speed to the target speed, so that the engine speed can be stabilized at the target speed. Whether it is for engine health monitoring or air filter health monitoring, it provides a more ideal and stable monitoring environment, improves the accuracy and reliability of monitoring data, and makes health assessment more credible.

[0009] In combination with the first aspect, in some possible implementations, the hybrid system includes the engine, and the target parameter includes the air-fuel ratio; the monitoring of the target parameter characterizing the health status of the hybrid system of the vehicle within a preset time period includes: monitoring the air-fuel ratio characterizing the health status of the engine in the hybrid system within a preset time period; identifying the health status of the hybrid system based on the target parameter includes: identifying the health status of the engine of the hybrid system based on the air-fuel ratio.

[0010] The above technical solution monitors the air-fuel ratio under the target operating conditions. The air-fuel ratio can reflect the degree of leakage of the engine. The smaller the air-fuel ratio, the greater the leakage, that is, the higher the degree of leakage of the engine, which in turn indicates that the health of the engine is low, which is convenient for accurately evaluating the health of the engine and realizing the health monitoring of the engine.

[0011] In combination with the first aspect, in certain possible implementations, the hybrid system includes an air filter, and the target parameter includes a pressure value of an intake system of the engine; monitoring the target parameter characterizing the health status of the hybrid system of the vehicle within a preset time period includes: monitoring the pressure value characterizing the health status of the air filter within a preset time period; identifying the health status of the hybrid system based on the target parameter includes: identifying the health status of the air filter of the hybrid system based on the pressure value of the intake system.

[0012] The above technical solution can accurately evaluate the health of the air filter by monitoring the pressure value of the intake system under the target working conditions. The higher the blockage degree, the smaller the absolute value of the detected pressure value, which reflects a higher vacuum degree in the intake system, and further indicates that the health of the air filter is poor. This method can effectively identify the blockage of the air filter and realize the health monitoring of the air filter.

[0013] In combination with the first aspect, in some possible implementations, the detecting whether the vehicle is in a target operating condition includes: after determining that a target event has occurred, each time the vehicle is detected to have traveled a preset mileage, detecting whether the vehicle is in a target operating condition; wherein the target event is the completion of the sale of the vehicle, or the target event is the successful completion of self-learning by an injector of the hybrid system.

[0014] The above technical solution, after the vehicle is sold, detects whether the vehicle is in the target operating condition every time it detects that the vehicle has traveled a preset mileage, thereby triggering the health monitoring process, which is conducive to timely discovery and handling of health problems of the hybrid system after the vehicle is sold. After the injector successfully completes self-learning, the health monitoring process is triggered by combining the preset mileage detection and the target operating condition judgment, which not only achieves the continuous optimization of the injector, but also significantly improves the accuracy and reliability of health monitoring. At the same time, the health monitoring process is triggered only under the above conditions, which also avoids frequent health monitoring.

[0015] In combination with the first aspect, in some possible implementations, detecting whether the vehicle is in a target operating condition includes: determining whether the motor is in a state where it can stably output power; determining whether the engine is in a state where it can be driven to rotate by the motor; and determining that the vehicle is in the target operating condition when the motor is in a state where it can stably output power and the engine is in a state where it can be driven to rotate by the motor.

[0016] In combination with the first aspect, in some possible implementations, determining whether the motor is in a state where it can stably output power includes: if any of the following conditions is met, determining that the motor is in a state where it can stably output power: the vehicle is on a downhill section; the vehicle is in a motor-only drive state; the vehicle is in a cruising state.

[0017] The above technical solutions, the vehicle being on a downhill section, the vehicle being in a motor-only drive state, and the vehicle being in a cruising state all point to a common feature, that is, the vehicle's demand for power output in these states is relatively stable, reducing the impact of transient changes. The motor itself has the advantages of fast response and high-precision control, and can better exert its performance characteristics under these conditions to ensure stable power output. Therefore, when the vehicle meets any of the above three conditions, it can be reasonably inferred that the motor is in a state where it can output power stably. The above three conditions provide a clear and reliable basis for judging whether the motor is in a state where it can output power stably, ensuring the accuracy and reliability of the test results.

[0018] In combination with the first aspect, in some possible implementations, the determining whether the engine is in a state where it can be driven to rotate by the motor includes: if all of the following conditions are met, then determining that the engine is in a state where it can be driven to rotate by the motor: the opening of the accelerator pedal of the vehicle is less than or equal to a preset opening threshold; the injector of the vehicle is in a non-injecting state; when a clutch is provided between the engine and the motor, the clutch is in a closed state.

[0019] In the above technical solution, the opening of the accelerator pedal is less than or equal to the preset opening threshold, indicating that there is basically no active power demand. The injector is in a non-injecting state, which means that there is no combustion activity inside the engine and it is unable to generate power autonomously. The clutch is closed to ensure the mechanical connection between the motor and the engine, so that the motor can drive the engine to rotate. These three conditions work together to eliminate the possibility of the engine generating power autonomously and ensure that the motor can drive the engine to rotate through the mechanical connection. Therefore, the combination of the above three conditions provides a clear and reliable basis for judging whether the engine is in a state where it can be driven to rotate by the motor, thereby ensuring the accuracy and reliability of the test results.

[0020] In combination with the first aspect, in some possible implementations, identifying the health status of the hybrid system based on the target parameters includes: uploading the target parameters to a cloud platform so that the cloud platform can identify the health status of the hybrid system based on the target parameters; receiving abnormal prompt information sent by the cloud platform; wherein the abnormal prompt information is sent by the cloud platform when it is identified that the health status indicates that the hybrid system is abnormal.

[0021] In a second aspect, a health monitoring device for a hybrid system is provided, the device comprising: a target operating condition detection module, used to detect whether a vehicle is in a target operating condition; wherein the target operating condition indicates that the engine of the vehicle is in a stable state; a target parameter monitoring module, used to monitor target parameters indicating the health status of the hybrid system of the vehicle within a preset time period if the vehicle is in the target operating condition; and a health level identification module, used to identify the health level of the hybrid system based on the target parameters.

[0022] In a third aspect, a vehicle is provided, comprising a memory for storing executable program code; and a processor for calling and running the executable program code from the memory, so that the vehicle executes the method in the above-mentioned first aspect or any possible implementation of the first aspect.

[0023] In a fourth aspect, a computer program product is provided, comprising: a computer program code, which, when executed on a computer, enables the computer to execute the method in the first aspect or any possible implementation of the first aspect.

[0024] In a fifth aspect, a computer-readable storage medium is provided, which stores a computer program code. When the computer program code runs on a computer, the computer executes the method in the above-mentioned first aspect or any possible implementation manner of the first aspect. BRIEF DESCRIPTION OF THE DRAWINGS

[0025] Figure 1 is a schematic flow chart of a health monitoring method for a hybrid system provided in an embodiment of the present application;

[0026] Figure 2 It is a structural schematic diagram of an engine provided by an embodiment of the present application;

[0027] Figure 3 is a schematic diagram of an air intake system provided in an embodiment of the present application;

[0028] Figure 4 is a schematic flow chart of a health monitoring method for an engine in a hybrid system provided in an embodiment of the present application;

[0029] Figure 5 is a schematic flow chart of a health monitoring method for an air filter element in a hybrid system provided in an embodiment of the present application;

[0030] Figure 6 is a structural schematic diagram of a health monitoring device for a hybrid system provided in an embodiment of the present application;

[0031] Figure 7It is a structural schematic diagram of a vehicle provided in an embodiment of the present application. DETAILED DESCRIPTION

[0032] The technical solution in the present application will be described clearly and in detail below in conjunction with the accompanying drawings. In the description of the embodiments of the present application, unless otherwise specified, " / " means or, for example, A / B can mean A or B: "and / or" in the text is only a description of the association relationship of associated objects, indicating that there can be three relationships, for example, A and / or B can mean: A exists alone, A and B exist at the same time, and B exists alone. In addition, in the description of the embodiments of the present application, "multiple" means two or more than two.

[0033] In the following, the terms "first" and "second" are used for descriptive purposes only and are not to be understood as suggesting or implying relative importance or implicitly indicating the number of technical features indicated. Thus, a feature defined as "first" or "second" may explicitly or implicitly include one or more of the features.

[0034] During the use of hybrid vehicles, a series of consumption processes will occur inside the hybrid system, such as battery aging, decreased motor efficiency, and internal wear of the engine, which will affect the overall health state (SOH) of the hybrid system, thereby indirectly affecting the vehicle's driving performance and fuel economy. Currently, in order to evaluate the health of the hybrid system, a common method is to have professionals at 4S stores conduct regular inspections of the vehicle, which may include disassembling some components to analyze their condition in more detail. However, this method has many limitations:

[0035] (1) Low user acceptance: Not all users are willing to accept the long waiting time and potential risks caused by the inspection.

[0036] (2) Costly and time-consuming: Disassembling and reassembling vehicle components not only takes a lot of time but also increases maintenance costs.

[0037] (3) Dependence on professional experience: The quality of diagnostic results is highly dependent on the experience and technical level of the technicians, resulting in instability in identification accuracy.

[0038] (4) Inconvenience: The traditional method requires the vehicle to be sent to a specific location for inspection, which brings inconvenience to users.

[0039] Therefore, how to improve the accuracy and convenience of health monitoring of hybrid systems has become a technical problem that needs to be solved urgently. In order to at least solve the above technical problems, the embodiment of the present application provides a health monitoring method for a hybrid system, which is applied to hybrid vehicles, and can be specifically applied to a controller in the vehicle. The vehicle can be a P2 architecture vehicle or a P1 architecture vehicle, which is not specifically limited in this embodiment. The health monitoring method of the hybrid system has been improved mainly in terms of the timing of monitoring and the parameters of monitoring:

[0040] In terms of the timing of monitoring, the engine is selected to be monitored when it is in a stable state. Considering that the traditional monitoring method may be performed at any time, this may cause the collected data to be affected by transient fluctuations (such as unstable engine operation) and fail to truly reflect the health status of the hybrid system. However, the embodiment of the present application chooses to monitor when the engine is in a stable state. At this time, the operating state of the engine itself is stable, which can avoid the interference caused by transient fluctuations, thereby improving the accuracy of health monitoring.

[0041] In terms of monitored parameters, target parameters that characterize the health status of the vehicle's hybrid system are selected in a targeted manner. Considering that traditional methods often monitor the full-scale parameters of the hybrid system, this not only increases the complexity of data processing and resource consumption, but may also introduce unnecessary noise. The embodiment of the present application reduces data redundancy and improves the efficiency and accuracy of health monitoring by selecting a few key parameters that are closely related to the health status of the hybrid system as target parameters.

[0042] Figure 1 It is a schematic flow chart of a health monitoring method for a hybrid system provided in an embodiment of the present application.

[0043] For example, Figure 1 As shown, the method includes:

[0044] Step 101: Detect whether the vehicle is in a target operating condition; wherein the target operating condition indicates that the engine of the vehicle is in a stable state.

[0045] Step 102: If the vehicle is in the target operating condition, monitor a target parameter representing the health status of the hybrid system of the vehicle within a preset time period.

[0046] Step 103: Identify the health status of the hybrid system according to the target parameters.

[0047] exist Figure 1In the illustrated embodiment, monitoring is performed when the engine is in a stable state, which can ensure that the collected target parameters are more stable and reliable, and avoid the influence of transient fluctuations on the monitoring results. Therefore, the identified health of the hybrid system is more accurate. By selecting key parameters closely related to the health status, namely target parameters, the interference of irrelevant factors is reduced, so that the monitoring results can better reflect the true health status of the hybrid system, and the efficiency and accuracy of health monitoring are improved. Due to the use of a non-invasive monitoring method, there is no need to disassemble the vehicle, which greatly reduces the waiting time and inconvenience of the user and improves the user experience. During daily driving, the vehicle is automatically monitored when it is in the target working condition, without the need for special inspection, which realizes more convenient health status monitoring. Automated monitoring reduces dependence on professionals, reduces maintenance costs and the risk of human errors.

[0048] The health monitoring method proposed in the embodiment of the present application effectively solves the problems of high cost, low efficiency and unstable accuracy caused by the reliance on disassembly inspection in the prior art by optimizing the monitoring timing and monitoring parameters. This method not only improves the accuracy of health status monitoring, but also enhances the convenience and real-time nature of monitoring, providing users with a more intelligent and efficient solution, and significantly improving the maintenance and management level of hybrid vehicles.

[0049] Below Figure 1 The specific implementation of each step in the embodiment shown is described as follows:

[0050] In step 101, during the driving of the vehicle, it can be detected whether the vehicle is in a target operating condition. The target operating condition indicates that the engine of the vehicle is in a stable state. The reason for detecting the target operating condition is that when the engine is running in a stable state, its various performance parameters are the most stable, which reduces the impact of transient fluctuations on the monitoring results, thereby improving the accuracy of subsequent health status identification, ensuring that the monitoring is performed when the engine is running most stably, so as to obtain data that best reflects the true health status of the hybrid system.

[0051] In a possible implementation, the above detection of whether the vehicle is in the target operating condition includes: judging whether the engine is in a stable state according to a preset threshold range and logic conditions, and if the engine is judged to be in a stable state, then the vehicle is determined to be in the target operating condition. For example, if the engine speed fluctuation is within a preset range (such as ±5%), or the engine torque output change rate is less than a certain set value, or the throttle opening is maintained within a stable range, and the vehicle has no obvious acceleration or deceleration operation, then it can be judged that the engine is in a stable state.

[0052] In another possible implementation, the above-mentioned detection of whether the vehicle is in the target operating condition includes the following steps 1021 to 1023:

[0053] Step 1021: Determine whether the motor is in a state where it can output power stably.

[0054] When a clutch is provided between the motor and the engine, the motor and the engine can be connected via the clutch. When a clutch is not provided between the motor and the engine, the motor and the engine are connected via a belt or a gear.

[0055] When the motor is in a state where it can output power stably, it means that the motor has the ability to output power stably. Therefore, it is possible to determine whether the motor is in a state where it can output power stably by detecting the working parameters of the motor. For example, the working parameters of the motor include: motor output power, motor speed, motor current and voltage, etc. The output power of the motor is monitored by a power sensor installed on the motor, and stable power output means that the motor is running at a constant speed and torque. The actual speed of the motor is measured by a speed sensor (such as a Hall effect sensor or an optical encoder), and a stable speed is an important sign of the stable output power of the motor. The working current and voltage of the motor are monitored by current and voltage sensors, and stable current and voltage levels indicate that the motor is in a stable working state. In this embodiment, a reasonable stable range can be set for the working parameters of the motor (such as output power, speed, current, voltage). When these working parameters remain within this stable range for a period of time, it is considered that the motor is in a state where it can output power stably.

[0056] In a possible implementation, the above-mentioned determination of whether the motor is in a state where the power can be stably output includes: if any one of the following conditions 1 to 3 is met, then determining that the motor is in a state where the power can be stably output:

[0057] Condition 1: The vehicle is on a downhill section; Condition 2: The vehicle is in the motor-only driving state; Condition 3: The vehicle is in the cruising state.

[0058] The following is an introduction to the above three conditions:

[0059] For condition 1 above, on downhill sections, the vehicle will naturally accelerate due to gravity. At this time, the engine may not need to provide additional power output, and may even enter idle or shut down to save fuel. In order to keep the vehicle speed stable, the motor usually takes on the task of maintaining a constant speed, controlling the vehicle speed through regenerative braking (i.e. using the motor as a generator to recover energy) and feeding excess energy back to the battery. When going downhill, the motor is mainly responsible for regulating the vehicle speed and recovering energy, and its output power is relatively stable.

[0060] For condition 2 above, hybrid vehicles can be driven only by the motor in certain situations, such as when driving at low speeds, on city roads, or when the driver selects electric mode. In this state, the engine does not participate in power output, and all driving force comes entirely from the motor. The motor can accurately adjust the output power according to actual needs to ensure stable power output.

[0061] For condition 3 above, the cruising state refers to the vehicle traveling at a constant speed on a highway or other long straight road section. In this state, the vehicle's speed fluctuates less and the demand for power output is relatively stable. The set vehicle speed needs to be maintained in the cruising state, so the motor's output power is continuously monitored and adjusted to offset factors that may cause speed changes (such as wind resistance, road slope, etc.). This allows the motor to maintain a stable output in the cruising state.

[0062] In summary, conditions 1 to 3 all point to a common feature, that is, the vehicle's demand for power output is relatively stable under these conditions, does not require frequent adjustments, and has the ability to output power stably. The motor itself has the advantages of fast response and high-precision control, and can better exert its performance characteristics under these conditions to ensure stable power output. Therefore, when the vehicle meets any of the following conditions 1 to 3, it can be reasonably inferred that the motor is in a state where it can output power stably.

[0063] Step 1022: Determine whether the engine is in a state where it can be driven to rotate by the motor.

[0064] The engine is in a state where it can be driven by the motor to rotate. This means that in a hybrid vehicle, the engine's rotor is not driven by its own combustion process (i.e., the engine's piston movement), but is driven by the motor to rotate. In other words, the engine's crankshaft is driven by the motor to rotate, rather than by the energy generated by combustion. When the engine is driven by the motor to rotate, its internal combustion system may not ignite or only maintain a very low fuel injection amount, so the engine itself generates almost no load.

[0065] In one possible implementation, the engine speed can be monitored by a speed sensor and compared with the motor speed. If the engine speed is close to the motor speed and the direction is consistent, it means that the engine is driven by the motor to rotate.

[0066] In another possible implementation, determining whether the engine is in a state where it can be driven to rotate by the motor includes: if all of the following conditions are met, that is, the following conditions 4 to 6 are met at the same time, then determining that the engine is in a state where it can be driven to rotate by the motor:

[0067] Condition 4: The opening of the vehicle's accelerator pedal is less than or equal to a preset opening threshold; Condition 5: The vehicle's injector is in a non-injecting state; Condition 6: When a clutch is provided between the engine and the motor, the clutch is in a closed state.

[0068] The following are explanations of the above conditions 4 to 6 respectively:

[0069] For the above condition 4, the opening of the accelerator pedal reflects the driver's demand for vehicle acceleration. When the opening of the accelerator pedal is less than or equal to the preset opening threshold, it means that the opening of the accelerator pedal is very small or zero, which means that the driver does not request additional power output. In this case, the engine does not need to provide additional power to respond to the driver's demand, so it is more likely to be in a passive rotation state.

[0070] For condition 5 above, the injector is a key component that controls the fuel entering the engine. If the injector does not inject fuel, the combustion process will not occur inside the engine, which means that the engine does not drive the crankshaft to rotate through the combustion process. In this state, the engine can only maintain rotation through external forces (such as motors).

[0071] For condition 6 above, the clutch is used to connect or disconnect the mechanical transmission path between the engine and the motor. When the clutch is closed, a direct mechanical connection is formed between the engine and the motor, allowing the power of the motor to be transmitted to the engine. The clutch closure ensures that the motor can directly drive the engine to rotate without slipping or disengagement.

[0072] In a specific implementation, if there is no clutch between the engine and the motor, that is, the engine and the motor are connected by a belt or gear, then if conditions 4 and 5 are met, it can be determined that the engine is in a state where it can be driven by the motor to rotate. In this case, the above condition 6 does not exist.

[0073] In summary, the accelerator pedal opening is extremely small or zero (condition 4), indicating that there is basically no active power demand. The injector does not spray oil (condition 5), which means that there is no combustion activity inside the engine and it cannot generate power autonomously. The clutch is closed (condition 6), which ensures the mechanical connection between the motor and the engine, allowing the motor to drive the engine to rotate. These three conditions work together to eliminate the possibility of the engine generating power autonomously and ensure that the motor can drive the engine to rotate stably through the mechanical connection. Therefore, the combination of conditions 4 to 6 provides a clear and reliable basis for judging whether the engine is in a state where it can be driven by the motor to rotate, ensuring the accuracy and reliability of the test results.

[0074] Step 1023: When the motor is in a state where it can stably output power and the engine is in a state where it can be driven to rotate by the motor, determine that the vehicle is in a target operating condition.

[0075] It can be understood that the engine is in a state where it can be driven by the motor to rotate, and the motor is in a state where it can stably output power. Therefore, driven by the motor, the engine can also be in a stable state. At this time, the stable state of the engine is specifically: a stable mechanical rotation state, that is, the engine is dragged by the motor that can stably output power and is in a stable mechanical rotation state. When the engine is in this stable mechanical rotation state, it can be determined that the vehicle is in the target operating condition.

[0076] When the vehicle is in the target operating condition, the injector does not spray fuel, the engine basically does not output power, the power source of the vehicle is the motor, and the electricity of the motor comes from the vehicle's battery. The battery can be a high-voltage battery (large battery) inside the vehicle or a low-voltage battery (small battery) inside the vehicle. This embodiment does not make specific limitations on this.

[0077] Through the above method, it is possible to accurately detect whether the vehicle is in the target operating condition, that is, the state in which the engine is stably driven to rotate by the motor, which provides a suitable monitoring opportunity for monitoring the health status, which is beneficial to improving the accuracy of health monitoring of the hybrid system at this suitable monitoring opportunity.

[0078] In one possible implementation, the above-mentioned detection of whether the vehicle is in the target operating condition includes: after determining that a target event has occurred, each time the vehicle is detected to have traveled a preset mileage, detecting whether the vehicle is in the target operating condition; wherein the target event is the completion of the sale of the vehicle, or the target event is the successful completion of self-learning by the injector of the hybrid system.

[0079] It is understandable that it usually takes a certain amount of time for the health status of the hybrid system to change. Based on this, there is no need to monitor the health status in real time, nor is there any need to detect whether the vehicle is in the target working condition in real time. Instead, after the target event is determined to have occurred, the vehicle is detected to have traveled a preset mileage and then detect whether the vehicle is in the target working condition. The preset mileage can be pre-calibrated according to different models and application scenarios, such as calibrated to 3×10 4 km, 1.5×10 4 km, 2.5×10 4 km, etc., which is not specifically limited in this embodiment.

[0080] In a specific implementation, after determining that a target event has occurred, each time it is detected that the vehicle has traveled a preset mileage, it is possible to continuously detect whether the vehicle is in the target operating condition until it is detected that the vehicle is in the target operating condition.

[0081] When the target event is the completion of the sale of the vehicle, it means that the vehicle will enter the user use stage. As the mileage of the user's driving vehicle changes, the components in the hybrid system may wear or age. For example, the engine is a key component that converts the reciprocating motion of the piston into rotational motion. As the number of operating circles increases, its internal wear will affect its health status. For example, if the air filter in the intake system is full of dust, it will seriously affect fuel consumption and power. Therefore, after the vehicle is sold, every time the vehicle is detected to have traveled a preset mileage, it is detected whether the vehicle is in the target operating condition, and then the health monitoring process is triggered, which is conducive to timely discovery and handling of health problems of the hybrid system, ensuring that the vehicle is always in the best working condition.

[0082] When the target event is that the injector of the hybrid system successfully completes self-learning, it means that the injector has been optimized and adjusted according to the current vehicle condition and environmental conditions and has reached the best working state. The self-learning mechanism of the injector can dynamically adjust the injection amount to adapt to the different working conditions of the engine, thereby improving combustion efficiency, reducing emissions, and improving fuel economy. In addition, the valve seat of the injector will wear due to collision during long-term use, resulting in changes in the injection characteristics. However, through the self-learning mechanism, the injector can compensate for these changes to a certain extent, ensuring that the amount of fuel injected each time accurately meets the needs of the engine, and maintaining the ideal air-fuel ratio even when the injector is aging. Therefore, after the injector successfully completes self-learning, every time the vehicle is detected to have traveled a preset mileage (for example, every 1,000 kilometers), it will automatically trigger a working condition check to determine whether the vehicle is in the target working condition, ensuring that the injector is continuously optimized throughout the vehicle life cycle and can adapt to various driving conditions and environmental changes. Triggering the health monitoring process under such conditions not only helps to continuously optimize the working state of the injector, but also conducts health assessments at the best time to avoid unnecessary frequent detection, thereby improving the accuracy and reliability of the monitoring results. In addition, regular and targeted health monitoring can detect potential problems in a timely manner, extend the service life of key components, improve overall vehicle performance, and provide users with a smarter and more efficient maintenance experience.

[0083] Among them, the self-learning of the injector means: by monitoring and dynamically adjusting the working parameters of the injector, the fuel injection amount is accurately matched to the engine requirements, thereby optimizing the engine performance. The successful completion of the self-learning of the injector means: the state in which the above self-learning process reaches the predetermined optimization target, at which time the working parameters of the injector have been adjusted to the best, and can achieve accurate injection, performance improvement, emission reduction and fuel economy improvement under the current driving conditions, and ensure the long-term stable operation of the system. In other words, after the injector successfully completes the self-learning, the working parameters of the injector have been optimized to the state that best suits the current vehicle conditions and driving conditions.

[0084] After the vehicle is sold, the system detects whether the vehicle is in the target operating condition every time it has traveled a preset mileage, thereby triggering the health monitoring process. This helps to promptly discover and address health issues of the hybrid system after the vehicle is sold. After the injector successfully completes self-learning, the health monitoring process is triggered by combining the preset mileage detection and the target operating condition judgment, which not only achieves continuous optimization of the injector, but also significantly improves the accuracy and reliability of health monitoring. At the same time, the health monitoring process is triggered only under the above conditions, which also avoids frequent health monitoring.

[0085] In step 102, if the vehicle is in the target operating condition, it means that the engine is currently driven by the motor in a stable state, that is, a stable mechanical rotation state. At this time, the target parameters representing the health status of the hybrid system of the vehicle are monitored within a preset time. The preset time can be preset, usually a value in seconds, for example, it can be between 10 seconds and 20 seconds. In order to further improve the precision of health monitoring, the target parameters can be monitored at multiple time points within the preset time, and the parameter values ​​of the monitored target parameters at multiple time points can be recorded.

[0086] In step 103, the health of the hybrid system is identified according to the target parameter. The health represents the working state and performance of the hybrid system. The higher the health, the healthier the hybrid system is, and the lower the health, the less healthy the hybrid system is.

[0087] In one possible implementation, a corresponding relationship can be calibrated between the target parameter and the health level. This relationship can be established through analysis of experimental data and historical data, so that the corresponding relationship can be queried based on the target parameter to obtain the health level of the hybrid system.

[0088] In another possible implementation, for each target parameter, different health threshold ranges are preset, and the health level is divided into multiple levels (such as excellent, good, average, poor, and bad). When the target parameter falls within a certain threshold range, the corresponding health level is determined.

[0089] The target parameters are parameters that are closely related to the health status of the hybrid system. Considering that the hybrid system includes multiple components, the health status of different components can be measured by different target parameters. The health status of different components in the hybrid system itself affects the health status of the hybrid system. Therefore, in this embodiment, target parameters that characterize the health status of different components in the hybrid system of the vehicle can be monitored. The different components in the hybrid system include the engine and the air filter. The health status of the engine and the air filter is particularly important for the hybrid system. The following describes the health monitoring of the engine and the air filter respectively:

[0090] like Figure 2 As shown, Figure 2 The diagram is a schematic diagram of the internal structure of an engine, including: a cylinder 201 and a piston 202. The cylinder 201 is a component of the engine used to accommodate the piston 202 and provide a combustion space. The piston 202 is a component that moves up and down in the cylinder 201 and is connected to the crankcase through a connecting rod. The engine is a component that converts the reciprocating motion of the piston 202 into a rotary motion. The reciprocating motion of the piston 202 is prone to cause wear inside the engine. The wear causes the sealing performance between the piston ring and the cylinder wall of the cylinder 202 to decrease, causing part of the combustion gas ( Figure 2 The schematic diagram is shown as "leakage". Figure 2 The arrow in the figure indicates the gas leakage path) leaks from the combustion chamber to the crankcase. This not only reduces the energy conversion efficiency of effective combustion, but also increases the pressure inside the crankcase. The leakage will blow out the gases in the crankcase, which are eventually discharged into the exhaust system. Due to the leakage of combustion gases, the effective output power of the engine is reduced, resulting in a decrease in the acceleration performance and overall power performance of the vehicle. Incomplete combustion and additional energy loss will increase fuel consumption and reduce fuel economy. It can be seen that the wear inside the engine and the resulting leakage problems seriously affect the health of the engine, resulting in reduced performance, increased emissions, increased maintenance costs and shortened service life. Therefore, timely monitoring of the health of the engine is crucial for the health monitoring of the hybrid system.

[0091] In a possible implementation, the hybrid system includes an engine, and the target parameter includes an air-fuel ratio; the target parameter representing the health state of the hybrid system of the vehicle is monitored within a preset time period, including: monitoring the air-fuel ratio representing the health state of the engine in the hybrid system within a preset time period. Correspondingly, the identification of the health state of the hybrid system based on the target parameter includes: identifying the health state of the engine of the hybrid system based on the air-fuel ratio.

[0092] Among them, the air-fuel ratio can be measured by an oxygen sensor installed in the exhaust system or a sensor that can monitor the oxygen content. The sensor that monitors the oxygen content is usually installed in the exhaust system, close to the exhaust manifold outlet of the engine. The oxygen sensor is used to measure the oxygen content in the exhaust and send the oxygen content to the electronic control unit. The electronic control unit can calculate the current air-fuel ratio based on the change in oxygen content.

[0093] Exemplarily, the oxygen sensor can measure the oxygen content once every first time period (such as 0.01 seconds), and send the oxygen content to the electronic control unit. The electronic control unit can calculate the air-fuel ratio once every second time period (such as 0.5 seconds) based on multiple oxygen contents received in the second time period. For example, in this 0.5 second, the electronic control unit receives an oxygen content every 0.01 seconds, and a total of 0.5 / 0.01=50 oxygen contents are received. The air-fuel ratio can be calculated based on the average value of these 50 oxygen contents, or based on the sum of these 50 oxygen contents. This embodiment does not make specific restrictions on this. It should be noted that the above 0.01 seconds and 0.5 seconds are examples for ease of understanding. In a specific implementation, the size of the first time period and the second time period can be set according to actual needs, but the second time period must be greater than the first time period.

[0094] Exemplarily, the air-fuel ratio can be monitored and recorded at multiple different time points within a preset time. In combination with the above example, the air-fuel ratio can be calculated and recorded every second time within the preset time. For example, the electronic control unit calculates the air-fuel ratio every 0.5 seconds, and the air-fuel ratio will be recorded every 0.5 seconds within the preset time for subsequent engine health monitoring.

[0095] It can be understood that the air-fuel ratio refers to the mass ratio of oxygen to fuel in the air entering the engine combustion chamber. The ideal air-fuel ratio (theoretical air-fuel ratio) is about 14.7:1, at which time the combustion is most complete, the engine efficiency is the highest and the emissions are the lowest. The air-fuel ratio is calculated based on the oxygen content of the exhaust system. The higher the oxygen content, the more oxygen that is not involved in the combustion is contained in the exhaust gas after combustion, which means that the actual amount of fuel injected is relatively small, that is, the air-fuel ratio is too large (too lean). The lower the oxygen content, the less oxygen is contained in the exhaust gas after combustion, and it may even contain incompletely burned fuel, which means that the actual amount of fuel injected is relatively large, that is, the air-fuel ratio is too small (too rich). When there is air leakage in the engine, it will affect the relationship between the air-fuel ratio and the oxygen content. If there is air leakage inside the engine, part of the combustion gas (that is, the oxygen in the air) may leak into the crankcase or other parts, resulting in a decrease in the amount of air actually involved in the combustion, which is manifested as too much fuel and insufficient air, and ultimately leads to a decrease in the air-fuel ratio. The larger the air leakage, the smaller the air-fuel ratio usually monitored, indicating that the engine is more severely worn and the sealing and working condition are worse. The smaller the air-fuel ratio, the greater the leakage, that is, the engine leakage degree is high, which in turn means that the health of the engine is low. Therefore, the air-fuel ratio is positively correlated with the health of the engine, that is, the smaller the air-fuel ratio, the lower the health of the engine.

[0096] Specifically, the closer the air-fuel ratio is to the ideal value, the healthier the engine is; the greater the air-fuel ratio deviates from the ideal value, especially towards being too rich (the air-fuel ratio decreases), the engine may have air leakage or other problems and is less healthy. In other words, there is a negative correlation between the air-fuel ratio and the health of the engine: the smaller the air-fuel ratio, the lower the health of the engine.

[0097] The above scheme monitors the air-fuel ratio under the target operating conditions. The air-fuel ratio can reflect the degree of air leakage of the engine, thereby facilitating accurate assessment of the health of the engine and realizing health monitoring of the engine.

[0098] The intake system of a hybrid system is a key component to ensure that the engine receives clean and adequate air. Figure 3 As shown, it is a basic structural diagram of the intake system of the hybrid system, including: an air filter 301, a pressure sensor 302 and an engine 303. The air filter 301 is used to filter the air entering the engine 303, remove dust, impurities and other particles, and protect the internal parts of the engine 303 from wear. The pressure sensor 302 is used to monitor the air pressure in the intake passage and provide real-time data to the engine control unit to accurately adjust the fuel injection amount and ignition time. The engine 303 mixes the inhaled air with the fuel and burns it through the reciprocating motion of the piston, and finally converts it into mechanical energy to drive the vehicle. When the air filter 301 is blocked, it will have many negative effects on the health of the entire intake system and even the engine. The blocked air filter 301 increases the intake resistance, causing the engine 303 to need more force to inhale air, thereby consuming more fuel. Due to the reduction in air flow, the air-fuel ratio is imbalanced, the combustion efficiency is reduced, and the amount of incompletely burned fuel increases, further increasing fuel consumption. Insufficient intake will cause the engine to be unable to obtain enough oxygen for full combustion, thereby reducing the effective output power, affecting the vehicle's acceleration performance and overall power performance. Therefore, timely monitoring of the health of the air filter is crucial for the health monitoring of the hybrid system.

[0099] In a possible implementation, the hybrid system includes an air filter element, and the target parameter includes a pressure value of an intake system of the engine; the target parameter that is monitored within a preset time period to represent the health status of the hybrid system of the vehicle includes: monitoring the pressure value of the intake system that represents the health status of the air filter element within a preset time period. Correspondingly, the identification of the health status of the hybrid system based on the target parameter includes: identifying the health status of the air filter element of the hybrid system based on the pressure value of the intake system.

[0100] Combination Figure 3 , can be Figure 3The pressure sensor 302 detects the pressure value of the intake system. In a specific implementation, the pressure value of the intake system can be monitored and recorded at multiple different time points within a preset time period for subsequent health monitoring of the air filter 301. For example, the monitored pressure value of the intake system can be compared with the standard pressure value, and the health of the air filter 301 can be determined based on the absolute value of the difference between the pressure value of the intake system and the standard pressure value. The absolute value of the difference is negatively correlated with the health of the air filter 301. The above-mentioned standard pressure value can be pre-calibrated to represent the pressure value detected by the pressure sensor 302 when the air filter 301 is working normally.

[0101] In some embodiments, the health of the air filter 301 can also be understood as the degree of blockage of the air filter 301. The higher the blockage of the air filter 301, the lower its health. When the air filter 301 is gradually blocked, the resistance of the intake system increases, causing the intake pressure to change, so that the engine 303 needs a greater vacuum during the inhalation process to overcome the resistance of the air filter 301 to maintain the required intake volume. Therefore, the higher the blockage, the further the vacuum of the intake system 301 will increase. Figure 3 In the figure, the pressure value of the intake system detected by the pressure sensor 302 can be a negative value. Assuming that the standard pressure value is -9kpa, the larger the pressure value detected by the pressure sensor 302 (the smaller the absolute value of the pressure value), the higher the blockage degree of the air filter element 301 and the greater the vacuum degree. For example, the pressure value detected by the pressure sensor 302 is -5kpa compared to the pressure value detected by the pressure sensor 302 is -9kpa. The pressure value of -5kpa indicates that the blockage degree of the air filter element 301 is higher.

[0102] In the above scheme, by monitoring the pressure value of the intake system under the target operating conditions, the health of the air filter can be accurately evaluated. The higher the degree of blockage, the smaller the absolute value of the detected pressure value, which reflects a higher vacuum in the intake system, which in turn indicates that the health of the air filter is poor. This method can effectively identify the blockage of the air filter and ensure the overall performance and reliability of the hybrid system.

[0103] In one possible implementation, if the vehicle is in a target operating condition, target parameters characterizing the health status of the vehicle's hybrid system are monitored within a preset time period, including: if the vehicle is in a target operating condition, controlling the motor to drive the engine to rotate so that the engine speed reaches the target speed; when the engine speed reaches the target speed, monitoring the target parameters characterizing the health status of the vehicle's hybrid system within a preset time period.

[0104] The target speed may be pre-calibrated to further enable the engine to be driven by the motor to a stable speed value so that the engine maintains a stable speed. Optionally, the target speed may be set between 1500 r / min and 3000 r / min, such as calibrated to 1800 r / min, but this embodiment does not specifically limit this.

[0105] For the above engine health monitoring, the engine speed is dragged to the target speed by the motor in order to provide a specific flow path for the air in the combustion chamber, so that the air can flow to the oil pan through the tiny gap between the cylinder block and the piston, and finally enter the exhaust system (i.e., the exhaust pipe). This design ensures that the oxygen sensor of the exhaust system can detect the oxygen content, thereby accurately measuring the air-fuel ratio. Specifically, the engine is stabilized at a preset target speed by the motor to ensure the consistency and repeatability of the air flow path in the combustion chamber. At the target speed, the air in the combustion chamber flows to the oil pan through the gap between the cylinder block and the piston, and further enters the exhaust system. This path simulates the air flow under actual working conditions, ensuring that the oxygen sensor can detect the actual oxygen content. The oxygen sensor calculates the air-fuel ratio based on the detected oxygen content, and then evaluates the combustion efficiency and health status of the engine. This method provides a favorable monitoring environment for monitoring the air-fuel ratio, ensures the accuracy and reliability of the monitoring data, and thus can better realize the health monitoring of the engine based on the air-fuel ratio, and improves the accuracy of the health monitoring of the engine.

[0106] For the above-mentioned health monitoring of the air filter, the engine speed is dragged to the target speed by the motor. This process causes the air in the combustion chamber to continue to flow to the exhaust pipe, thereby generating a continuous demand for the intake system, so that the pressure value of the intake system can be monitored more accurately. Specifically, the engine is stabilized at a preset target speed by the motor. At the target speed, the air in the combustion chamber continues to flow to the exhaust pipe, forming a stable demand for the intake system, which makes the pressure change of the intake system more obvious and easy to monitor. This method provides a favorable monitoring environment for monitoring the pressure value of the intake system, ensures the accuracy and reliability of the monitoring data, and thus better realizes the health monitoring of the air filter based on the pressure value of the intake system, and improves the accuracy of the health monitoring of the air filter.

[0107] By using the motor to drag the engine speed to the target speed, a more ideal and stable monitoring environment is provided for both engine health monitoring and air filter health monitoring, which improves the accuracy and reliability of monitoring data and makes health assessment more credible.

[0108] In one possible implementation, the above-mentioned identifying the health status of the hybrid system based on the target parameters includes: uploading the target parameters to the cloud platform so that the cloud platform can identify the health status of the hybrid system based on the target parameters; receiving abnormal prompt information sent by the cloud platform; wherein the abnormal prompt information is sent by the cloud platform when it is identified that the health status indicates that the hybrid system is abnormal.

[0109] Specifically, the vehicle can upload the target parameters monitored within a preset time period to the cloud platform in the form of signals. For example, the value of the target parameter monitored each time is reflected in the target signal in a coded form, and the target signal is uploaded to the cloud platform. The coding format can be distinguished according to different parameters to ensure the uniqueness and accuracy of the analysis.

[0110] When the target parameter is the air-fuel ratio, the target signal may be in the form of Engjiankang_RM; when the target parameter is the pressure value of the intake system, the target signal may be in the form of Engjinqi_RM. After receiving the target signal, the cloud platform can parse the target signal to obtain the target parameter, perform big data analysis based on the target parameter, and obtain the health level represented by the target parameter. In addition, the cloud platform can also generate health reports and maintenance recommendations through big data analysis.

[0111] Exemplarily, after receiving the target parameters, the cloud platform can store the target parameters in the cloud database to form a historical data record for subsequent analysis and long-term tracking. The cloud platform uses big data analysis technology, combined with historical data and real-time data, to evaluate the health level represented by the target parameter. Based on the analysis results, a health score or health report is generated to describe in detail the health status of the current hybrid system, including the health of the engine, the degree of blockage of the air filter, etc. The cloud platform pre-sets the normal range and abnormal threshold of the health status. When the target parameter exceeds the set threshold, the system will automatically identify it as an abnormal situation. In addition to the single detection value, the cloud platform will also perform trend analysis on historical data records to identify potential progressive deterioration problems and provide early warning.

[0112] When the cloud platform identifies that the health status of the hybrid system is abnormal, it will automatically generate abnormal prompt information. Abnormal prompt information may include specific abnormality types (such as air-fuel ratio imbalance, air filter blockage), recommended maintenance measures (such as replacing the air filter, checking the injector), etc. Abnormal prompt information can be pushed to users through various channels, such as: the cloud platform sends notifications to users through mobile APP / users' registered email addresses, the cloud platform sends abnormal prompt information to the vehicle computer, and displays it on the vehicle's dashboard or central control screen through the on-board display. In some cases, the cloud platform can also provide remote diagnosis functions, and users can communicate with professional technicians through the APP to obtain more professional guidance and support.

[0113] Figure 4 It is a schematic flow chart of a health monitoring method for an engine in a hybrid system provided in an embodiment of the present application.

[0114] For example, Figure 4 As shown, the method includes:

[0115] Step 401: If it is detected that the vehicle is in the target operating condition, the motor is controlled to drive the engine to rotate so that the engine speed reaches the target speed.

[0116] Step 402: Within 2 seconds to 13 seconds after the engine speed reaches the target speed, monitor the oxygen content of the exhaust system.

[0117] Step 403: Record the first air-fuel ratio, record the corresponding vehicle mileage, and record the number of engine running cycles.

[0118] Step 404: Record the second air-fuel ratio, record the corresponding vehicle mileage, and record the number of engine running cycles.

[0119] Step 405: Record the third air-fuel ratio, record the corresponding vehicle mileage, and record the number of engine running cycles.

[0120] Step 406: Record the nth air-fuel ratio, record the corresponding vehicle mileage, and record the number of engine operation cycles.

[0121] The air-fuel ratio is calculated and measured by the oxygen content detected by the oxygen sensor installed in the exhaust system or the sensor capable of monitoring the oxygen content, and is specifically obtained by the oxygen content monitored in step 402. In addition, by recording the vehicle mileage and the number of engine running cycles when recording the air-fuel ratio, it is convenient to track the change pattern of the health of the engine later.

[0122] Step 407: Upload the recorded air-fuel ratio, the corresponding vehicle mileage and the number of engine revolutions to the cloud platform in the form of a signal.

[0123] Step 408: The cloud platform performs big data analysis based on the received signal to obtain the health status of the engine.

[0124] exist Figure 4 In the embodiment shown, the hybrid system's motor power is stably output and input to the hybrid system's engine, and then the air-fuel ratio is monitored to measure the engine's air leakage, thereby identifying the engine's health, and implementing engine health monitoring based on big data. The air leakage is identified by the oxygen content in the exhaust system, which is measured by an oxygen sensor on the exhaust system or a device that can monitor the oxygen content, and the oxygen content can be reflected in the form of an air-fuel ratio.

[0125] It should be noted that Figure 4The 2 seconds to 13 seconds in the figure is an exemplary illustration of the preset time length. In a specific implementation, it is not limited to 2 seconds to 13 seconds.

[0126] Figure 5 It is a schematic flow chart of a health monitoring method for an air filter in a hybrid system provided in an embodiment of the present application.

[0127] For example, Figure 5 As shown, the method includes:

[0128] Step 501: If it is detected that the vehicle is in the target operating condition, the motor is controlled to drive the engine to rotate so that the engine speed reaches the target speed.

[0129] Step 502: Within 0 seconds to 15 seconds after the engine speed reaches the target speed, monitor the pressure value of the intake system.

[0130] Step 503: Record the pressure value of the first intake system, record the corresponding vehicle mileage, and record the number of engine revolutions.

[0131] Step 504: Record the pressure value of the second intake system, record the corresponding vehicle mileage, and record the number of engine revolutions.

[0132] Step 505: Record the pressure value of the third intake system, record the corresponding vehicle mileage, and record the number of engine revolutions.

[0133] Step 506: Record the pressure value of the air intake system for the nth time, record the corresponding vehicle mileage, and record the number of engine operation cycles.

[0134] By recording the vehicle mileage and engine running times while recording the pressure value of the intake system, it is convenient to track the changes in the health of the air filter element.

[0135] Step 507: Upload the pressure value of the intake system, the corresponding vehicle mileage and the number of engine revolutions recorded each time to the cloud platform in the form of a signal.

[0136] Step 508: The cloud platform performs big data analysis based on the received signal to obtain the health status of the air filter.

[0137] exist Figure 5 In the embodiment shown, the stable output of the motor power of the hybrid system is input to the engine of the hybrid system, and then the pressure value of the intake system is detected by the existing pressure sensor of the intake system of the hybrid system, thereby identifying the degree of blockage of the air filter element, which is actually also the health of the air filter element, thereby realizing air filter element health monitoring based on big data.

[0138] It should be noted that Figure 5 The 0 seconds to 15 seconds in the figure is an exemplary illustration of the preset time length, and in a specific implementation, it is not limited to 0 seconds to 15 seconds.

[0139] Figure 6 It is a structural schematic diagram of a health monitoring device for a hybrid system provided in an embodiment of the present application.

[0140] For example, Figure 6 As shown, the health monitoring device 600 of the hybrid system includes:

[0141] The target operating condition detection module 601 is used to detect whether the vehicle is in a target operating condition; wherein the target operating condition indicates that the engine of the vehicle is in a stable state;

[0142] A target parameter monitoring module 602 is configured to monitor a target parameter representing a health state of a hybrid system of the vehicle within a preset time period if the vehicle is in the target operating condition;

[0143] The health status identification module 603 is used to identify the health status of the hybrid system according to the target parameter.

[0144] In one possible implementation, the target parameter monitoring module 602 is specifically used to: if the vehicle is in the target operating condition, control the motor to drive the engine to rotate so that the engine speed reaches the target speed; when the engine speed reaches the target speed, monitor the target parameters representing the health status of the hybrid system of the vehicle within a preset time period.

[0145] In one possible implementation, the hybrid system includes the engine, and the target parameter includes the air-fuel ratio; the target parameter monitoring module 602 is specifically used to: monitor the air-fuel ratio that characterizes the health status of the engine in the hybrid system within a preset time period; the health status identification module 603 is specifically used to: identify the health status of the engine of the hybrid system based on the air-fuel ratio.

[0146] In one possible implementation, the hybrid system includes an air filter, and the target parameter includes a pressure value of an intake system of the engine; the target parameter monitoring module 602 is specifically used to: monitor the pressure value representing the health status of the air filter within a preset time period; the health status identification module 603 is specifically used to: identify the health status of the air filter of the hybrid system according to the pressure value of the intake system.

[0147] In one possible implementation, the target operating condition detection module 601 is specifically used to: after determining that a target event has occurred, each time the vehicle is detected to have traveled a preset mileage, detect whether the vehicle is in a target operating condition; wherein the target event is the completion of the sale of the vehicle, or the target event is the successful completion of self-learning by the injector of the hybrid system.

[0148] In one possible implementation, the target operating condition detection module 601 is specifically used to: determine whether the motor is in a state where it can stably output power; determine whether the engine is in a state where it can be driven to rotate by the motor; and determine that the vehicle is in a target operating condition when the motor is in a state where it can stably output power and the engine is in a state where it can be driven to rotate by the motor.

[0149] In one possible implementation, the target operating condition detection module 601 is specifically used to determine that the motor is in a state where it can stably output power if any of the following conditions are met: the vehicle is on a downhill section; the vehicle is in a motor-only drive state; the vehicle is in a cruising state.

[0150] In one possible implementation, the target operating condition detection module 601 is specifically used to determine that the engine is in a state where it can be driven to rotate by the motor if all of the following conditions are met: the opening of the accelerator pedal of the vehicle is less than or equal to a preset opening threshold; the injector of the vehicle is in a non-injecting state; when a clutch is provided between the engine and the motor, the clutch is in a closed state.

[0151] In one possible implementation, the health status identification module 603 is specifically used to: upload the target parameters to the cloud platform so that the cloud platform can identify the health status of the hybrid system based on the target parameters; receive abnormal prompt information sent by the cloud platform; wherein the abnormal prompt information is sent by the cloud platform when it is identified that the health status indicates that the hybrid system is abnormal.

[0152] Figure 7 It is a structural schematic diagram of a vehicle provided in an embodiment of the present application.

[0153] For example, Figure 7 As shown, the vehicle 700 includes: a memory 701 and a processor 702, wherein the memory 701 stores an executable program code 7011, and the processor 702 is used to call and execute the executable program code 7011 to perform a health monitoring method for a hybrid system.

[0154] In addition, an embodiment of the present application also protects a device, which may include a memory and a processor, wherein the memory stores executable program code, and the processor is used to call and execute the executable program code to execute a health monitoring method for a hybrid system provided in an embodiment of the present application.

[0155] In this embodiment, the functional modules of the device can be divided according to the above method example. For example, each functional module can be corresponded, or two or more functions can be integrated into one processing module. The above integrated module can be implemented in the form of hardware. It should be noted that the division of modules in this embodiment is schematic and is only a logical function division. There may be other division methods in actual implementation.

[0156] In the case of dividing each functional module according to each function, the device may also include a target operating condition detection module, a target parameter monitoring module, a health level identification module, etc. It should be noted that all relevant contents of each step involved in the above method embodiment can be referred to the functional description of the corresponding functional module, which will not be repeated here.

[0157] It should be understood that the device provided in this embodiment is used to execute the above-mentioned health monitoring method of a hybrid system, and thus can achieve the same effect as the above-mentioned implementation method.

[0158] In the case of an integrated unit, the device may include a processing module and a storage module. When the device is applied to a vehicle, the processing module may be used to control and manage the actions of the vehicle. The storage module may be used to support the vehicle in executing related program codes, etc.

[0159] The processing module may be a processor or a controller, which may implement or execute various exemplary logic blocks, modules and circuits shown in conjunction with the disclosure of the present application. The processor may also be a combination that implements computing functions, such as a combination of one or more microprocessors, a combination of digital signal processing (DSP) and a microprocessor, etc. The storage module may be a memory.

[0160] In addition, the device provided in the embodiments of the present application may specifically be a chip, a component or a module, and the chip may include a connected processor and a memory; wherein the memory is used to store instructions, and when the processor calls and executes the instructions, the chip can execute a health monitoring method for a hybrid system provided in the above embodiments.

[0161] This embodiment also provides a computer-readable storage medium, in which a computer program code is stored. When the computer program code is executed on a computer, the computer executes the above-mentioned related method steps to implement a health monitoring method for a hybrid system provided in the above embodiment.

[0162] This embodiment further provides a computer program product. When the computer program product is run on a computer, the computer is caused to execute the above-mentioned related steps to implement a health monitoring method for a hybrid system provided in the above embodiment.

[0163] Among them, the device, computer-readable storage medium, computer program product or chip provided in this embodiment is used to execute the corresponding method provided above. Therefore, the beneficial effects that can be achieved can refer to the beneficial effects in the corresponding method provided above, and will not be repeated here.

[0164] Through the description of the above implementation methods, technical personnel in the relevant field can understand that for the convenience and simplicity of description, only the division of the above-mentioned functional modules is used as an example. In actual applications, the above-mentioned functions can be assigned to different functional modules as needed, that is, the internal structure of the device can be divided into different functional modules to complete all or part of the functions described above.

[0165] In the embodiments provided in the present application, it should be understood that the disclosed devices and methods can be implemented in other ways. For example, the device embodiments described above are only schematic, for example, the division of modules or units is only a logical function division, and there may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another device, or some features can be ignored or not executed. Another point is that the mutual coupling or direct coupling or communication connection shown or discussed can be through some interfaces, indirect coupling or communication connection of devices or units, which can be electrical, mechanical or other forms.

[0166] The above contents are only specific implementation methods of the present application, but the protection scope of the present application is not limited thereto. Any technician familiar with the technical field can easily think of changes or substitutions within the technical scope disclosed in the present application, which should be included in the protection scope of the present application. Therefore, the protection scope of the present application should be based on the protection scope of the claims.

Claims

1. A health monitoring method for a hybrid system, characterized in that: The method comprises: Detecting whether the vehicle is in a target operating condition; wherein the target operating condition indicates that the engine of the vehicle is in a stable state; If the vehicle is in the target operating condition, monitoring a target parameter representing a health state of a hybrid system of the vehicle within a preset time period; The health status of the hybrid system is identified according to the target parameter.

2. The method according to claim 1, characterized in that If the vehicle is in the target operating condition, monitoring a target parameter representing a health state of the hybrid system of the vehicle within a preset time period includes: If the vehicle is in the target operating condition, controlling the motor to drive the engine to rotate so that the speed of the engine reaches the target speed; When the speed of the engine reaches the target speed, a target parameter representing the health state of the hybrid system of the vehicle is monitored within a preset time period.

3. The method according to claim 1, characterized in that The hybrid system includes the engine, and the target parameter includes an air-fuel ratio; The monitoring of the target parameter representing the health status of the hybrid system of the vehicle within a preset time period includes: Monitoring the air-fuel ratio representing the health status of the engine in the hybrid system within a preset time period; The identifying the health status of the hybrid system according to the target parameter includes: The health status of the engine of the hybrid system is identified according to the air-fuel ratio.

4. The method according to claim 1, characterized in that: The hybrid system includes an air filter element, and the target parameter includes a pressure value of an intake system of the engine; The monitoring of the target parameter representing the health status of the hybrid system of the vehicle within a preset time period includes: Monitoring the pressure value representing the health status of the air filter element within a preset time period; The identifying the health status of the hybrid system according to the target parameter includes: The health of the air filter of the hybrid system is identified according to the pressure value of the intake system.

5. The method according to claim 1, characterized in that The detecting whether the vehicle is in the target operating condition comprises: After determining that a target event occurs, each time it is detected that the vehicle has traveled a preset mileage, detecting whether the vehicle is in a target operating condition; The target event is that the vehicle is sold, or the target event is that the injector of the hybrid system successfully completes self-learning.

6. The method according to claim 1, characterized in that The detecting whether the vehicle is in the target operating condition comprises: Determine whether the motor is in a state where it can output power stably; Determining whether the engine is in a state where it can be driven to rotate by the motor; When the motor is in a state where it can stably output power and the engine is in a state where it can be driven to rotate by the motor, it is determined that the vehicle is in a target operating condition.

7. The method according to claim 6, characterized in that The determining whether the motor is in a state where it can stably output power includes: If any of the following conditions is met, it is determined that the motor is in a state where it can stably output power: The vehicle is on a downhill section; The vehicle is in a motor-only driving state; The vehicle is in a cruising state.

8. The method according to claim 6, characterized in that The determining whether the engine is in a state where it can be driven to rotate by the motor includes: If all of the following conditions are met, it is determined that the engine is in a state where it can be driven to rotate by the motor: The opening degree of the accelerator pedal of the vehicle is less than or equal to a preset opening degree threshold; The fuel injector of the vehicle is in a non-fuel injecting state; When a clutch is provided between the engine and the motor, the clutch is in a closed state.

9. The method according to claim 1, characterized in that: The identifying the health status of the hybrid system according to the target parameter includes: Uploading the target parameter to a cloud platform, so that the cloud platform can identify the health of the hybrid system based on the target parameter; Receive the abnormal prompt information sent by the cloud platform; wherein, the abnormal prompt information is sent by the cloud platform when it recognizes that the health level indicates that the hybrid system is abnormal.

10. A vehicle, characterized in that: The vehicle comprises: A memory for storing executable program codes; A processor, configured to call and run the executable program code from the memory so that the vehicle executes the method according to any one of claims 1 to 9.

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