Vehicle demand power prediction method and device, vehicle control equipment and hybrid vehicle

Abstract

The embodiment of the invention provides a vehicle demand power prediction method and device, vehicle control equipment and a hybrid vehicle. Relates to the technical field of automobiles. The method comprises the steps that the current gear, the first shaft rotating speed, the second shaft rotating speed, the current accelerator opening degree, the current road slope information and the current vehicle weight information of a target hybrid vehicle are obtained; according to the first shaft rotating speed, the second shaft rotating speed and the gear transmission information of the adopted hybrid power gearbox, the third shaft rotating speed of a driving motor on the target hybrid power vehicle is calculated; according to the first shaft rotating speed of the engine, the second shaft rotating speed of the generator and the third shaft rotating speed of the driving motor, the initial peak value demand power of the target hybrid vehicle is calculated; and according to the current accelerator opening degree, the current road slope information and the current vehicle weight information, the initial peak demanded power is corrected, and the target demanded power of the target hybrid vehicle is obtained. According to the invention, the prediction precision of the demand power is effectively improved, and the optimization target of fuel economy is realized.

Description

Technical Field

[0001] The present application relates to the field of automobile technology, and in particular to a method and device for predicting vehicle demand power, a vehicle control device, and a hybrid vehicle. Background Art

[0002] Under the dual pressures of energy crisis and environmental pollution, hybrid vehicles have become the general trend of the automotive industry, especially in the field of commercial vehicles, and many automakers have focused on the research and development of hybrid systems. However, the demand power prediction of hybrid vehicles has always been an important issue in the development of new energy vehicles.

[0003] Since the opening degree of the accelerator pedal can most intuitively reflect the driver's driving needs during vehicle driving, calculating the vehicle's required power based on the opening degree of the accelerator pedal is one of the commonly used methods.

[0004] However, in addition to the accelerator pedal opening, the vehicle's demand power during driving will also change with the road conditions and its own load conditions. For example, when the vehicle is driving uphill or on muddy roads, the vehicle's demand power response increment to the throttle opening should be larger than that on a flat road. Conversely, when the vehicle is driving on a downhill section or smooth road, the vehicle's demand power response increment to the throttle opening should be smaller than that on a flat road. However, the prior art does not take road conditions and the state of the vehicle into consideration, resulting in a large error in the vehicle's demand power obtained by the prior art, which in turn makes the vehicle prone to jerkiness when driving according to the demand power. Summary of the invention

[0005] In view of this, the purpose of this application is to provide a vehicle demand power prediction method, device, vehicle control equipment and hybrid vehicle. According to the input planetary gear structure and parameters of the hybrid vehicle, combined with the external characteristics of the engine ECU, generator GM and drive motor TM, the initial peak demand power of the target hybrid vehicle is calculated in real time, and the target demand power of the vehicle is corrected in real time according to the throttle opening requested by the driver, the road slope information and the vehicle weight information, so as to effectively improve the prediction accuracy of the demand power, thereby achieving the optimization goal of fuel economy.

[0006] In order to achieve the above purpose, the technical solution adopted in the embodiment of the present application is as follows:

[0007] In a first aspect, an embodiment of the present application provides a method for predicting vehicle power demand, the method comprising:

[0008] Obtaining the current gear position of the target hybrid vehicle, the first shaft speed of the engine, the second shaft speed of the generator, the current throttle opening, the current road slope information, and the current vehicle weight information;

[0009] Calculating a third shaft speed of a drive motor on the target hybrid vehicle according to the first shaft speed and the second shaft speed and using gear transmission information of a hybrid transmission on the target hybrid vehicle;

[0010] calculating an initial peak required power of the target hybrid vehicle according to a first shaft speed of the engine, a second shaft speed of the generator, and a third shaft speed of the drive motor;

[0011] The initial peak power demand is corrected according to the current throttle opening, the current road slope information and the current vehicle weight information to obtain the target power demand of the target hybrid vehicle, and the target power demand is used to distribute torque to the engine, the generator and the drive motor.

[0012] Optionally, the calculating the third shaft speed of the drive motor by using the gear transmission information of the hybrid transmission on the target hybrid vehicle includes:

[0013] determining a first speed relationship among the engine, the generator, and an input shaft in a hybrid transmission structure according to the gear transmission information;

[0014] Determining a second speed relationship between the input shaft and the drive motor at the current gear position according to the gear transmission information and the current gear position;

[0015] Calculating the speed of the input shaft according to the first shaft speed and the second shaft speed using the first speed relationship;

[0016] The third shaft speed of the drive motor is calculated according to the speed of the input shaft and using the second speed relationship.

[0017] Optionally, the gear transmission information includes: information of an input planetary gear structure, the input planetary gear structure being used to perform transmission connection between the engine, the generator and the input shaft;

[0018] Determining a first speed relationship among the engine, the generator, and an input shaft in a hybrid transmission structure according to the gear transmission information includes:

[0019] Calculating a gear ratio value of the input planetary gear structure according to the information of the input planetary gear structure;

[0020] The first speed relationship is determined according to the gear transmission ratio value.

[0021] Optionally, the gear transmission information includes: information of a gear structure of a gear position, wherein the gear structure of the gear position is used to perform transmission connection between the drive motor, the auxiliary power output device and the input shaft;

[0022] The determining, according to the gear transmission information and the current gear, a second speed relationship between the input shaft and the drive motor at the current gear position includes:

[0023] According to the information of the gear structure and the current gear, obtaining the gear transmission ratio value at the current gear;

[0024] The second speed relationship is determined according to the gear transmission ratio value in the current gear position.

[0025] Optionally, calculating the initial peak required power of the target hybrid vehicle according to the first shaft speed of the engine, the second shaft speed of the generator, and the third shaft speed of the drive motor includes:

[0026] Respectively obtaining external characteristic parameters of the engine, external characteristic parameters of the generator, and external characteristic parameters of the drive motor;

[0027] According to the first shaft speed, the second shaft speed, and the third shaft speed, respectively obtaining a first peak torque of the engine, a second peak torque of the generator, and a third peak torque of the drive motor from external characteristic parameters of the engine, external characteristic parameters of the generator, and external characteristic parameters of the drive motor;

[0028] calculating a first peak required power of the engine according to the first shaft speed and the first peak torque;

[0029] calculating a second peak required power of the generator according to the second shaft speed and the second peak torque;

[0030] calculating a third peak required power of the drive motor according to the second shaft speed and the second peak torque;

[0031] The initial peak required power is calculated according to the first peak required power, the first peak required power and the first peak required power.

[0032] Optionally, the correcting the initial peak required power according to the current throttle opening, the current road slope information and the current vehicle weight information to obtain the target required power of the target hybrid vehicle includes:

[0033] According to the current throttle opening, the initial peak required power is corrected to obtain a corrected required power;

[0034] According to the current road slope information and the current vehicle weight information, the primary corrected required power is corrected for a second time to obtain the target required power.

[0035] Optionally, before performing a secondary correction on the primary corrected required power according to the current road slope information and the current vehicle weight information to obtain the target required power, the method further includes:

[0036] Acquire multiple groups of historical data of the target hybrid vehicle, each group of historical data including: historical road slope information, historical vehicle weight information, historical throttle opening, and historical initial peak power demand;

[0037] According to the historical throttle opening, the historical initial peak demand power is corrected once to obtain a historical corrected demand power;

[0038] According to the historical road slope information, the historical vehicle weight information, and the corresponding historical primary corrected required power in the multiple groups of historical data, a polynomial fitting is performed on an initial multi-cloud regression function whose slope influence factor and vehicle weight influence factor are unknown, to obtain a target multi-cloud regression function whose slope influence factor and vehicle weight influence factor are known;

[0039] According to the current road slope information, the current vehicle weight information and the primary corrected required power, a secondary correction is performed using the target cloudy regression function to obtain the target required power.

[0040] In a second aspect, an embodiment of the present application provides a vehicle demand power prediction device, the device comprising:

[0041] An acquisition module, used to acquire the current gear position of the target hybrid vehicle, the first shaft speed of the engine, the second shaft speed of the generator, the current throttle opening, the current road slope information and the current vehicle weight information;

[0042] a first calculation module, configured to calculate a third shaft speed of a driving motor on the target hybrid vehicle according to the first shaft speed and the second shaft speed and using gear transmission information of a hybrid transmission on the target hybrid vehicle;

[0043] a second calculation module, configured to calculate an initial peak required power of the target hybrid vehicle according to a first shaft speed of the engine, a second shaft speed of the generator, and a third shaft speed of the drive motor;

[0044] A correction module is used to correct the initial peak demand power according to the current throttle opening, the current road slope information and the current vehicle weight information to obtain the target demand power of the target hybrid vehicle, and the target demand power is used to distribute torque to the engine, the generator and the drive motor.

[0045] In a third aspect, an embodiment of the present application provides a vehicle control device, comprising: a memory and a processor, wherein the memory stores a computer program that can be run on the processor, and the processor executes the computer program to execute any of the methods described in the first aspect above.

[0046] In a fourth aspect, an embodiment of the present application provides a hybrid vehicle, comprising: a vehicle control device, an engine, a generator, a drive motor, and a hybrid gearbox; the engine, the generator, and the drive motor are all connected to a vehicle drive shaft through the hybrid gearbox;

[0047] The vehicle control device is communicatively connected to the engine, the generator, and the drive motor, respectively, and the vehicle control device is used to execute any one of the methods described in the first aspect above.

[0048] Compared with the prior art, the vehicle demand power prediction method, device, vehicle control device and hybrid vehicle provided by the embodiments of the present application have the following beneficial effects:

[0049] The embodiment of the present application proposes a method, device, vehicle control device and hybrid vehicle for predicting the power demand of a whole vehicle. It relates to the field of automobile technology. The method includes: obtaining the current gear position of the target hybrid vehicle, the first shaft speed of the engine, the second shaft speed of the generator, the current throttle opening, the current road slope information and the current vehicle weight information; according to the first shaft speed and the second shaft speed, the gear transmission information of the hybrid transmission on the target hybrid vehicle is used to calculate the third shaft speed of the drive motor on the target hybrid vehicle; according to the first shaft speed of the engine, the second shaft speed of the generator, and the third shaft speed of the drive motor, the initial peak power demand of the target hybrid vehicle is calculated; according to the current throttle opening, the current road slope information and the current vehicle weight information, the initial peak power demand is corrected to obtain the target power demand of the target hybrid vehicle, and the target power demand is used to distribute torque to the engine, the generator and the drive motor, so that the hybrid vehicle maintains a stable driving state under different working conditions. Therefore, the present application calculates the vehicle's required power in real time by comprehensively considering the current gear position, the rotation speed of each shaft, the throttle opening, the road slope, the vehicle weight and other information, and corrects the vehicle's required power in real time according to the throttle pedal opening requested by the driver, the vehicle information and the road slope information, so that the target required power is obtained, so that the hybrid vehicle can perform corresponding torque distribution according to the target required power. If the vehicle's required power is small at the current moment, the torque distributed by the engine becomes smaller, reducing the amount of fuel; if the required power is large at the current moment, the torque distributed by the engine becomes larger, improving the vehicle's power. Therefore, the accurate and real-time calculation of the target required power is of great significance to improving the power and fuel economy of hybrid vehicles. At the same time, it can also effectively improve the prediction accuracy of the required power of hybrid vehicles. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] In order to more clearly illustrate the technical solutions of the embodiments of the present application, the drawings required for use in the embodiments will be briefly introduced below. It should be understood that the following drawings only show certain embodiments of the present application and therefore should not be regarded as limiting the scope. For ordinary technicians in this field, other related drawings can be obtained based on these drawings without paying creative work.

[0051] Figure 1 A schematic diagram of the structure of a hybrid vehicle provided in an embodiment of the present application;

[0052] Figure 2 A schematic diagram of the structure of a vehicle control device provided in an embodiment of the present application;

[0053] Figure 3 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 1 ;

[0054] Figure 4 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 2 ;

[0055] Figure 5 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 3 ;

[0056] Figure 6 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 4 ;

[0057] Figure 7 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 5 ;

[0058] Figure 8 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 6 ;

[0059] Fig. 9 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 7 ;

[0060] Fig.10 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 8 ;

[0061] Fig.11 A schematic diagram of the structure of a vehicle demand power prediction device provided in an embodiment of the present application. DETAILED DESCRIPTION

[0062] The following will be combined with the drawings in the embodiments of the present application to clearly and completely describe the technical solutions in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, not all of the embodiments. The components of the embodiments of the present application described and shown in the drawings here can be arranged and designed in various different configurations.

[0063] Therefore, the following detailed description of the embodiments of the present application provided in the accompanying drawings is not intended to limit the scope of the present application for which protection is sought, but merely represents selected embodiments of the present application. Based on the embodiments of the present application, all other embodiments obtained by those skilled in the art without creative work are within the scope of protection of the present application.

[0064] It should be noted that relational terms such as "first" and "second" are used only to distinguish one entity or operation from another entity or operation, and do not necessarily require or imply any such actual relationship or order between these entities or operations. Moreover, the terms "include", "comprise" or any other variants thereof are intended to cover non-exclusive inclusion, so that a process, method, article or device including a series of elements includes not only those elements, but also other elements not explicitly listed, or also includes elements inherent to such process, method, article or device. In the absence of further restrictions, the elements defined by the sentence "comprise a ..." do not exclude the existence of other identical elements in the process, method, article or device including the elements.

[0065] In order to clearly describe a vehicle demand power prediction method, device, vehicle control device and hybrid vehicle provided in the embodiments of the present application, the hybrid vehicle will be described in detail with reference to the accompanying drawings. Figure 1 A schematic diagram of the structure of a hybrid vehicle provided in an embodiment of the present application. Figure 1 As shown, the hybrid vehicle 200 may include: a vehicle control device 100 , an engine ECU, a generator GM, a drive motor TM and a hybrid transmission 210 .

[0066] The hybrid vehicle 200 can be selected according to actual conditions. For example, the hybrid vehicle 200 can be selected as a vehicle with a DHT hybrid architecture.

[0067] Among them, the engine ECU, the generator GM and the drive motor TM are all connected to the vehicle drive shaft through the hybrid transmission 210, so that the engine ECU, the generator GM and the drive motor TM can work closely together to integrate and allocate the outputs of different power sources through the hybrid transmission 210; the vehicle control device 100 is respectively communicated (such as CAN communication) with the engine ECU, the generator GM, and the drive motor TM, and through the communication connection with the engine ECU, the generator GM and the drive motor TM, it can obtain the working status information of each power component in real time, thereby realizing precise coordinated control of the power sources in the hybrid vehicle 200.

[0068] The vehicle control device 100 is used to execute the vehicle demand power prediction method. The vehicle control device 100 can be selected according to actual conditions, for example, the vehicle control device 100 can be a vehicle controller.

[0069] It should be noted that the engine ECU, the generator GM, the drive motor TM and the vehicle control device 100 are all connected to the gateway controller through communication. The engine ECU is connected to the gateway controller through P-CAN communication; the generator GM and the drive motor TM are connected to the gateway controller through EV-CAN communication; the vehicle control device 100 is connected to the gateway controller through EP-CAN communication.

[0070] The hybrid vehicle provided in the embodiment of the present application may be composed of at least a vehicle control device, an engine, a generator, a drive motor and a hybrid transmission; the engine, the generator and the drive motor are all connected to the vehicle drive shaft through the hybrid transmission, so that the power source can be intelligently and efficiently coordinated and allocated according to the operating state of the hybrid vehicle; the vehicle control device is respectively communicatively connected to the engine, the generator and the drive motor to obtain the detailed operating parameters of each power source in real time, and the vehicle control device is used to execute the above-mentioned vehicle demand power prediction method to accurately coordinate the working mode of each power source.

[0071] Furthermore, the present application also provides a schematic diagram of the structure of a vehicle control device. Figure 2 This is a schematic diagram of the structure of a vehicle control device provided in an embodiment of the present application. Figure 2 As shown, the vehicle control device 100 may include: a memory 110 and a processor 120 .

[0072] The memory 110 stores machine executable instructions that can be executed by the processor 120, that is, when the hybrid vehicle 200 is running, the machine readable instructions are executed, and the processor 120 communicates with the memory 110 via a bus. The processor 120 can execute the machine executable instructions to implement the vehicle demand power prediction method.

[0073] Among them, the memory 110, the processor 120 and the bus components are electrically connected to each other directly or indirectly to realize data transmission or interaction. For example, these components can be electrically connected to each other through one or more communication buses or signal lines. The mobile storage device includes at least one software function module that can be stored in the memory 110 in the form of software or firmware or solidified in the operating system (OS) of the electronic device. The processor 120 is used to execute the executable modules stored in the memory 110, such as the software function modules and computer programs included in the vehicle demand power prediction method of the mobile storage medium.

[0074] Among them, the memory 110 can be, but is not limited to, random access memory (Random Access Memory, RAM), read only memory (Read Only Memory, ROM), programmable read-only memory (Programmable Read-Only Memory, PROM), erasable programmable read-only memory (Erasable Programmable Read-Only Memory, EPROM), electrically erasable read-only memory (Electric Erasable Programmable Read-Only Memory, EEPROM), etc.

[0075] The vehicle power demand prediction method provided in the embodiment of the present application can be executed by a processor in the vehicle control device 100. The vehicle power demand prediction method provided in the above embodiment of the present application is explained and illustrated in detail in conjunction with the accompanying drawings. The vehicle power demand prediction method provided in the embodiment of the present application is explained as follows: Figure 3 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 1 .like Figure 3 As shown, a vehicle control device 100 applied to a hybrid vehicle, the method may include:

[0076] S301, obtaining the current gear position of the target hybrid vehicle, the first shaft speed of the engine, the second shaft speed of the generator, the current throttle opening, the current road slope information, and the current vehicle weight information.

[0077] In a possible implementation, the current gear position of the target hybrid vehicle, the first shaft speed N of the engine ECU, and the first shaft speed N of the engine ECU are obtained through the communication connection between the vehicle control device and the engine ECU, the generator GM, and the drive motor TM. E , the second shaft speed N of the generator GM G 、Current throttle opening A ppr%, current road slope information and current vehicle weight information.

[0078] It should be noted that the gears of the target hybrid vehicle may include: 1st gear, 2nd gear, 3rd gear, 4th gear, 5th gear, 6th gear and PTO gear (parking gear).

[0079] S302 : Calculate a third shaft speed of a drive motor on the target hybrid vehicle according to the first shaft speed and the second shaft speed and using gear transmission information of a hybrid transmission on the target hybrid vehicle.

[0080] In a possible implementation, according to the first shaft speed N obtained in step S301, E , Second axis speed N G Then, the gear transmission information of the hybrid transmission on the target hybrid vehicle is obtained through CAN communication. Finally, according to the first shaft speed N E , Second axis speed N G The third shaft speed of the drive motor TM on the target hybrid vehicle is calculated based on the gear transmission information of the hybrid transmission on the target hybrid vehicle.

[0081] S303: Calculate the initial peak required power of the target hybrid vehicle according to the first shaft speed of the engine, the second shaft speed of the generator, and the third shaft speed of the drive motor.

[0082] In a possible implementation, according to the first shaft speed N of the engine ECU E , the second shaft speed N of the generator GM G , and the third axis speed N of the drive motor TM T , calculate the initial peak power requirement P of the target hybrid vehicle m , so that the hybrid vehicle can reasonably distribute power output according to the respective speeds of the engine ECU, generator GM and drive motor TM under various operating conditions (such as sudden acceleration, high-speed overtaking, climbing, etc.).

[0083] S304: Correct the initial peak power demand according to the current throttle opening, the current road slope information, and the current vehicle weight information to obtain a target power demand of the target hybrid vehicle.

[0084] The target required power P1 is used to distribute torque to the ECU, the generator GM and the drive motor TM.

[0085] In a possible implementation, according to the current throttle opening A ppr %, current road slope information and current vehicle weight information, the initial peak power demand P m The target power requirement P1 of the target hybrid vehicle is obtained by correction. When the hybrid vehicle accelerates, the current throttle opening Appr % directly reflects the driver's demand for power, while the road slope and vehicle weight will increase driving resistance. By comprehensively considering these three factors, the initial peak power demand P m By making corrections, hybrid vehicles can accurately provide the required power. And the target demand power calculation can enable hybrid vehicles to better cope with various working conditions during driving, improving driving stability and controllability.

[0086] The embodiment of the present application provides a method for predicting the power demand of a whole vehicle, which obtains the current gear position of a target hybrid vehicle, the first shaft speed of the engine, the second shaft speed of the generator, the current throttle opening, the current road slope information and the current vehicle weight information; according to the first shaft speed and the second shaft speed, the third shaft speed of the drive motor on the target hybrid vehicle is calculated using the gear transmission information of the hybrid transmission on the target hybrid vehicle; according to the first shaft speed of the engine, the second shaft speed of the generator, and the third shaft speed of the drive motor, the initial peak power demand of the target hybrid vehicle is calculated; according to the current throttle opening, the current road slope information and the current vehicle weight information, the initial peak power demand is corrected to obtain the target power demand of the target hybrid vehicle, and the target power demand is used to distribute torque to the engine, the generator and the drive motor, so that the hybrid vehicle maintains a stable driving state under different working conditions. Therefore, the present application calculates the vehicle's required power in real time by comprehensively considering the current gear position, the rotation speed of each shaft, the throttle opening, the road slope, the vehicle weight and other information, and corrects the vehicle's required power in real time according to the throttle pedal opening requested by the driver, the vehicle information and the road slope information, so that the target required power is obtained, so that the hybrid vehicle can perform corresponding torque distribution according to the target required power. If the vehicle's required power is small at the current moment, the torque distributed by the engine becomes smaller, reducing the amount of fuel; if the required power is large at the current moment, the torque distributed by the engine becomes larger, improving the vehicle's power. Therefore, the accurate and real-time calculation of the target required power is of great significance to improving the power and fuel economy of hybrid vehicles. At the same time, it can also effectively improve the prediction accuracy of the required power of hybrid vehicles.

[0087] exist Figure 3 On this basis, the vehicle demand power prediction method provided in the above embodiment of the present application is explained and illustrated in detail in combination with the accompanying drawings as follows. Figure 4 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 2 .like Figure 4 As shown, the above method uses the gear transmission information of the hybrid transmission on the target hybrid vehicle to calculate the third shaft speed of the drive motor, which may include:

[0088] S401. Determine a first rotational speed relationship among an engine, a generator, and an input shaft in a hybrid transmission structure according to gear transmission information.

[0089] In one possible implementation, based on the gear transmission information, the first speed relationship among the engine ECU, the generator GM and the input shaft in the hybrid transmission structure can be derived, so as to realize the intrinsic connection between the speeds of various components of the hybrid vehicle according to the first speed relationship, thereby providing an indispensable key data foundation for the efficient operation, intelligent control and performance optimization of the entire power source, ensuring that the power can be reasonably distributed and coordinated under different working conditions, thereby ensuring the reliability and safety of the vehicle.

[0090] S402: Determine a second speed relationship between the input shaft and the drive motor at the current gear according to the gear transmission information and the current gear.

[0091] In one possible implementation, a second speed relationship between the input shaft and the drive motor TM at the current gear is determined based on the gear transmission information and the current gear, so as to provide a core basis for the intelligent control and efficient operation of the hybrid vehicle based on the second speed relationship. In various complex driving scenarios, the input shaft and the drive motor TM can be coordinated and regulated in real time and accurately based on the second speed relationship, thereby ensuring the smoothness, efficiency and adaptability of the power output and guaranteeing the reliability, stability and safety of the hybrid vehicle throughout its life cycle.

[0092] S403 , calculating the rotation speed of the input shaft according to the rotation speed of the first shaft and the rotation speed of the second shaft using a first rotation speed relationship.

[0093] In a possible implementation, based on the first speed relationship, according to the first shaft speed N E and the second axis speed N G , accurately calculate the input shaft speed N A , so that the vehicle control device in the hybrid vehicle can better understand the key link status of power transmission in real time, and in the energy recovery stage, such as braking or deceleration, knowing the input shaft speed can help the vehicle control device better control the power generation state of the motor. According to the first speed relationship, the motor can generate electricity at the best efficiency point, efficiently convert the kinetic energy of the hybrid vehicle into electrical energy and store it, thereby improving the energy recovery efficiency, increasing the pure electric range of the hybrid vehicle, reducing fuel consumption and exhaust emissions, and saving energy and protecting the environment.

[0094] S404: Calculate the third shaft speed of the drive motor according to the speed of the input shaft using the second speed relationship.

[0095] In one possible implementation, according to the rotation speed N of the input shaft A , using the second speed relationship, calculate the third shaft speed N of the drive motor TM T, so that the vehicle control equipment of the hybrid vehicle can accurately adjust the working parameters of the drive motor according to the real-time driving conditions, so that it always runs in the optimal efficiency range, and can quickly adjust the input shaft speed N when the hybrid vehicle is accelerating, decelerating or dealing with complex road conditions. A The output of the drive motor TM is adjusted by the changes in the torque converter to enhance the responsiveness of the power source.

[0096] The vehicle power demand prediction method provided in the embodiment of the present application can first determine the first speed relationship of the engine, generator and input shaft in the hybrid transmission structure according to the gear transmission information to achieve high coordination and optimization of the power source; then determine the second speed relationship of the input shaft and the drive motor at the current gear according to the gear transmission information and the current gear, so as to accurately control the power generation state of the drive motor based on the first speed relationship and the second speed relationship, so that the kinetic energy of the hybrid vehicle is converted into electrical energy and stored at the most suitable speed, thereby improving energy recovery and management efficiency; then calculate the speed of the input shaft according to the first shaft speed and the second shaft speed using the first speed relationship; finally calculate the third shaft speed of the drive motor according to the input shaft speed using the second speed relationship. Therefore, the hybrid vehicle provided by the present application can realize more intelligent and automated control functions and improve the adaptability and reliability of the hybrid vehicle.

[0097] Optionally, the gear transmission information in the above method may include: information of an input planetary gear structure, which is used to perform transmission connection between the engine ECU, the generator GM and the input shaft. The information of the input planetary gear structure may include: a planet carrier, a sun gear and an outer gear ring.

[0098] In one possible implementation, Figure 5 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 3 .like Figure 5 As shown, in the above method, determining the first speed relationship among the engine, the generator, and the input shaft in the hybrid transmission structure according to the gear transmission information may include:

[0099] S501. Calculate the gear transmission ratio of the input planetary gear structure according to the information of the input planetary gear structure.

[0100] In one possible implementation, referring to the above Figure 1 The engine ECU, generator GM and input shaft correspond to the planet carrier 1, sun gear 1 and outer ring gear 1 in the input planetary gear structure respectively. According to the gear ratio between the outer ring gear 1 and the sun gear 1, the gear transmission ratio value K of the input planetary gear structure is calculated using the following formula (1).

[0101]

[0102] S502: Determine a first speed relationship according to the gear transmission ratio.

[0103] In one possible implementation, continue to refer to the above Figure 1 According to the gear ratio value K, the transmission ratio relationship between the planet carrier 1, the sun gear 1 and the outer ring gear 1 can be obtained, which corresponds to the first shaft speed N of the engine ECU in the hybrid vehicle architecture. E , the second shaft speed N of the generator GM G and the input shaft speed N A The speed relationship between the three, namely the first speed relationship, can be determined using the following formula (2).

[0104]

[0105] In the vehicle power demand prediction method provided in the embodiment of the present application, the gear transmission information may be composed of the information of the input planetary gear structure, wherein the input planetary gear structure is used to perform transmission connection between the engine, the generator and the input shaft, and then according to the information of the input planetary gear structure, the gear transmission ratio of the input planetary gear structure may be calculated according to the three parts of the planet carrier, the sun gear and the outer gear ring in the input planetary gear structure corresponding to the engine, the generator and the input shaft respectively; finally, according to the gear transmission ratio, the first speed relationship is determined so that the engine and the generator can achieve accurate power distribution and coordinated work under different working conditions, and when the hybrid vehicle is decelerating or braking, based on the known gear transmission ratio and the first speed relationship, the power generation state of the generator can be accurately controlled, the kinetic energy of the hybrid vehicle can be efficiently converted into electrical energy and stored, and the efficiency and effect of energy recovery can be improved, thereby increasing the pure electric cruising range of the hybrid vehicle, reducing fuel consumption and exhaust emissions, and saving energy and protecting the environment. At the same time, it provides a calculation basis for the subsequent precise control and intelligent management of the power source.

[0106] Optionally, the gear transmission information in the above method includes: information about the gear structure of the gear position, which is used to perform transmission connection between the drive motor TM, the auxiliary power output device and the input shaft. The gear structure information can be found in Figure 1 The number of gear rings corresponding to the gear information in the 2nd gear. For example, the number of gear rings in the gear gear structure corresponding to the 2nd gear is, for example, 28, 67, 42 and 63.

[0107] In one possible implementation, Figure 6 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 4 .like Figure 6 As shown, in the above method, determining the second speed relationship between the input shaft and the drive motor at the current gear position according to the gear transmission information and the current gear position may include:

[0108] S601. Obtain a gear transmission ratio value at the current gear according to information about the gear structure of the gear position and the current gear position.

[0109] S602: Determine a second speed relationship according to the gear transmission ratio value in the current gear position.

[0110] In one possible implementation, if the gear transmission ratio value K1 at the current gear position is obtained based on the gear structure information and the current gear position, it means that the drive motor TM and the input shaft of the target hybrid vehicle are not directly connected, but connected through the gear structure. Depending on the current gear setting, the ring gear ratio between the drive motor TM and the input shaft will be different, and in the PTO gear mode, the drive motor TM and the input shaft are not connected. Therefore, it is necessary to first determine the current gear position and the gear transmission ratio value K1 between the drive motor TM and the input shaft, and then determine the second speed relationship based on the gear transmission ratio value K1 at the current gear position, that is, obtain the speed N of the input shaft. A and the third axis speed N of the drive motor TM T The corresponding relationship between them.

[0111] For example, refer to the above Figure 1 ,by Figure 1 For example, when the current gear position is 2nd gear, the input shaft and the drive motor TM are in 2nd gear, the corresponding gear structure information is: 28, 67, 42 and 63, then the input shaft speed N A and the third axis speed N of the drive motor TM T The relationship between can be expressed by the following formula (3).

[0112]

[0113] It should be noted that if the input shaft and the drive motor TM are directly connected, the input shaft speed N can be obtained A and the third axis speed N of the drive motor TM T Equal, that is, N A =N T Then the above formula (2) can be expressed by the following formula (4).

[0114]

[0115] In the vehicle demand power prediction method provided in the embodiment of the present application, the gear transmission information can be composed of information about the gear structure of the gear position, wherein the gear structure of the gear position is used to perform transmission connection between the drive motor, the auxiliary power output device and the input shaft; according to the information about the gear structure of the gear position and the current gear position, the gear transmission ratio value in the current gear position is obtained; according to the gear transmission ratio value in the current gear position, the second speed relationship is determined, so that the hybrid vehicle can flexibly adjust the power output and distribution method according to different driving conditions (such as starting, acceleration, cruising, climbing, etc.), and during the deceleration or braking process of the hybrid vehicle, according to the second speed relationship, it is helpful to better control the power generation state of the drive motor and enhance the energy recovery efficiency.

[0116] The vehicle demand power prediction method provided in the above embodiment of the present application is explained and illustrated in detail below in conjunction with the accompanying drawings. Figure 7 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 5 .like Figure 7 As shown, in the above method, calculating the initial peak required power of the target hybrid vehicle according to the first shaft speed of the engine, the second shaft speed of the generator, and the third shaft speed of the drive motor may include:

[0117] S701, respectively obtaining external characteristic parameters of the engine, the generator, and the drive motor.

[0118] In a possible implementation, external characteristic parameters of the engine ECU, external characteristic parameters of the generator GM, and external characteristic parameters of the drive motor TM are respectively obtained from preset storage information of the hybrid vehicle.

[0119] It should be noted that the external characteristic parameters of the engine ECU, the generator GM, and the drive motor TM are all provided by the manufacturer of the hybrid vehicle and are fixed data. These external characteristic parameters can be MAP diagrams of each component.

[0120] S702. According to the first shaft speed, the second shaft speed, and the third shaft speed, obtain the first peak torque of the engine, the second peak torque of the generator, and the third peak torque of the drive motor from the external characteristic parameters of the engine, the external characteristic parameters of the generator, and the external characteristic parameters of the drive motor respectively.

[0121] In a possible implementation, according to the current gear, the first shaft speed N corresponding to the current gear is determined. E , Second axis speed N G , and the third axis speed N T, and obtain the first peak torque T of the engine ECU from the external characteristic parameters of the engine ECU, the external characteristic parameters of the generator GM, and the external characteristic parameters of the drive motor TM respectively. E , the second peak torque T of the generator GM G and the third peak torque T of the drive motor TM T .

[0122] S703: Calculate a first peak required power of the engine according to the first shaft speed and the first peak torque.

[0123] In a possible implementation, according to the first shaft speed N E and the first peak torque N E1 , the first peak power requirement P of the engine ECU is calculated using the following formula (5): E .

[0124]

[0125] S704: Calculate a second peak required power of the generator according to the second shaft speed and the second peak torque.

[0126] In a possible implementation, according to the second shaft speed N G and the second peak torque T G , the second peak power requirement P of the generator GM is calculated using the following formula (6): G .

[0127]

[0128] S705 : Calculate a third peak required power of the drive motor according to the third shaft speed and the third peak torque.

[0129] In a possible implementation, according to the third shaft speed N T and the third peak torque T T , the third peak required power P of the drive motor TM is calculated using the following formula (7): T .

[0130]

[0131] It should be noted that the unit of peak power demand is KW, the unit of peak torque is Nm, and the unit of shaft speed is rpm. In addition, it should be noted that if the current gear is PTO gear, the third shaft speed N of the drive motor TM is T is 0, then the third peak power demand P T Also 0.

[0132] S706: Calculate an initial peak required power according to the first peak required power, the second peak required power, and the third peak required power.

[0133] In a possible implementation, according to the first peak demand power P E , the second peak power demand P G and the third peak demand power P T , use the following formula (8) to calculate the initial peak power demand P m .

[0134] P m =P T +P E +P G Formula (8)

[0135] It should be noted that the reference Figure 1 It can be seen that the generator GM can provide power for the engine ECU. According to the above formula (2) and the gear ratio value K of the input planetary gear structure, the current input shaft (i.e., the drive motor TM) speed N can be obtained: A The first speed relationship between the engine ECU and the generator GM is calculated, when the first speed relationship is satisfied, according to the external characteristic parameters of the engine ECU and the generator GM, the first peak required power P of the engine ECU is calculated. E and the second peak power demand P of the generator GM G The maximum value of the combination (PE+PG) is then obtained according to the above formula (8): m .

[0136] The vehicle power demand prediction method provided in the embodiment of the present application obtains the external characteristic parameters of the engine, the external characteristic parameters of the generator, and the external characteristic parameters of the drive motor respectively; then, according to the first shaft speed, the second shaft speed, and the third shaft speed, the first peak torque of the engine, the second peak torque of the generator, and the third peak torque of the drive motor are obtained from the external characteristic parameters of the engine, the external characteristic parameters of the generator, and the external characteristic parameters of the drive motor respectively; then, according to the first shaft speed and the first peak torque, the first peak power demand of the engine is calculated; and according to the second shaft speed and the second peak torque, the second peak power demand of the generator is calculated; and according to the second shaft speed and the second peak torque, the third peak power demand of the drive motor is calculated; finally, according to the first peak power demand, the first peak power demand, and the first peak power demand, the initial peak power demand is calculated. Therefore, the present application can obtain the external characteristic parameters of each power source (engine, generator, drive motor), and calculate the peak torque and peak power demand in combination with the speed of the corresponding shaft, so as to accurately understand the optimal working state of each power source under different working conditions and realize the efficient power output of the hybrid vehicle. At the same time, different driving scenarios have different power requirements. The calculation method provided in this application helps to flexibly select the best power source combination according to actual conditions, thereby enhancing the reliability and safety of hybrid vehicles.

[0137] The vehicle demand power prediction method provided in the above embodiment of the present application is explained and illustrated in detail below in conjunction with the accompanying drawings. Figure 8 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 6 .like Figure 8 As shown, in the above method, the initial peak required power is corrected according to the current throttle opening, the current road slope information and the current vehicle weight information to obtain the target required power of the target hybrid vehicle, which may include:

[0138] S801. Correct the initial peak power demand according to the current throttle opening to obtain a corrected power demand.

[0139] In a possible implementation, according to the current throttle opening A ppr %, for the initial peak power demand P m After correction, the following formula (9) is used to obtain the corrected required power P0.

[0140] P0=P m ×Appr(%) Formula (9)

[0141] S802 . According to the current road slope information and the current vehicle weight information, a second correction is performed on the first-corrected required power to obtain a target required power.

[0142] In one possible implementation method, the first-corrected demand power P0 is corrected twice according to the current road slope information and the current vehicle weight information to obtain the target demand power P1, so that the target demand power can not only be adaptively adjusted based on the current road slope information, the current vehicle weight information and the current throttle opening, but also effectively improve the prediction accuracy of the demand power, thereby achieving the optimization goal of fuel economy.

[0143] The vehicle power demand prediction method provided in the embodiment of the present application corrects the initial peak power demand according to the current throttle opening to obtain a first-corrected power demand; and corrects the first-corrected power demand according to the current road slope information and the current vehicle weight information to obtain the target power demand, so that when the hybrid vehicle faces roads with different slopes, the power can be corrected twice by combining the current road slope information and the vehicle weight information, so as to accurately provide the hybrid vehicle with just the right power. And because the changes in vehicle weight and road slope will have a significant impact on the driving resistance and energy consumption of the hybrid vehicle, the target power demand obtained by the second correction can enable the hybrid vehicle to more accurately adjust the power output and energy distribution according to the actual working conditions.

[0144] The vehicle demand power prediction method provided in the above embodiment of the present application is explained and illustrated in detail below in conjunction with the accompanying drawings. Fig. 9 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 7 .like Fig. 9 As shown, in the above method, according to the current road slope information and the current vehicle weight information, the primary correction required power is corrected for a second time, and before the target required power is obtained, the method may further include:

[0145] S901. Acquire multiple groups of historical data of a target hybrid vehicle.

[0146] In one possible implementation, the vehicle control device can obtain multiple sets of historical data of the target hybrid vehicle through the communication connection between the vehicle control device and the engine ECU, the generator GM, and the drive motor TM, wherein each set of historical data includes: historical road slope information, historical vehicle weight information, historical throttle opening A ppr % and historical initial peak demand power P m历 .

[0147] S902: Correct the historical initial peak power demand once according to the historical throttle opening to obtain the historical corrected power demand once.

[0148] In a possible implementation method, according to the historical throttle opening A ppr %, the above formula (9) can be used to calculate the historical initial peak demand power P m历Make a correction and get the historical corrected required power P 0历 .

[0149] S903. According to the historical road slope information, the historical vehicle weight information, and the corresponding historical first-corrected required power in the multiple groups of historical data, a polynomial fitting is performed on the initial multi-cloud regression function whose slope influence factor and vehicle weight influence factor are unknown, so as to obtain a target multi-cloud regression function whose slope influence factor and vehicle weight influence factor are known.

[0150] In a possible implementation, in a preset software (such as MATLAB), according to the historical road slope information, historical vehicle weight information, and the corresponding historical primary correction required power P in multiple sets of historical data, 0历 , call the preset function (such as the nonlinear function lsqcurvefit) to perform polynomial fitting on the initial multi-cloud regression function modelFun whose slope influence factor and vehicle weight influence factor are unknown. For example, import the historical road slope information, historical vehicle weight information, and the corresponding historical primary correction demand power P in multiple sets of historical data. 0历 and other data, and define the initial multi-cloud regression function modelFun, where modelFun = @(b,x)b(1).*x(:,1).^b(2)+b(3).exp(b(4).*x(:,2))+b(5), where b(1) and b(2) are slope influence factors, b(3) and b(4) are vehicle weight influence factors, and b(5) is the correction deviation. Then, initialize and assign values ​​to b(1), b(2), b(3), b(4) and b(5), for example, b(1) = 1, b(2) = 0.5, b(3) = 1, b(4) = 0.1, b(5) = 0. Then call the preset function (such as the nonlinear function lsqcurvefit) to perform polynomial fitting on the initial multi-cloud regression function modelFun, and obtain the target multi-cloud regression function modelFun1 with known slope influence factors and vehicle weight influence factors.

[0151] S904 , according to the current road slope information, the current vehicle weight information and the primary corrected required power, a target multi-cloud regression function is used to perform a secondary correction to obtain a target required power.

[0152] In one possible implementation, based on the current road slope information and the current vehicle weight information, the primary correction required power P0 is secondary corrected using the target cloudy regression function modelFun1, and the target required power P1 is obtained using the following formula (10).

[0153]

[0154] Among them, x1 represents the variable of the current vehicle weight information, x2 represents the variable of the current road slope information, a and b represent the influence factors of the current vehicle weight information on the target demand power P1, c and d represent the influence factors of the current road slope information on the target demand power P1, and f corrects the deviation. Among them, a, b, c, d, and f are all parameters to be estimated in the target multi-cloud regression function modelFun1, namely, b(1), b(2), b(3), b(4), and b(5) mentioned above.

[0155] The vehicle power demand prediction method provided in the embodiment of the present application obtains multiple groups of historical data of the target hybrid vehicle, each group of historical data can be composed of historical road slope information, historical vehicle weight information, historical throttle opening, and historical initial peak power demand; according to the historical throttle opening, the historical initial peak power demand is corrected once to obtain the historical first corrected power demand; according to the historical road slope information, historical vehicle weight information, and the corresponding historical first corrected power demand in the multiple groups of historical data, the initial multi-cloud regression function with unknown slope influence factor and vehicle weight influence factor is polynomially fitted to obtain the target multi-cloud regression function with known slope influence factor and vehicle weight influence factor; according to the current road slope information, current vehicle weight information, and the first corrected power demand, the target multi-cloud regression function is used for secondary correction to obtain the target power demand, so as to deeply analyze and model the power demand of the hybrid vehicle by using multiple groups of historical data, so that the hybrid vehicle can accurately adapt the power output in various actual driving scenarios. And the accurate target power demand calculation provides a key decision basis for the hybrid vehicle, so that the hybrid vehicle can achieve efficient use of energy under different working conditions.

[0156] To facilitate understanding of the above vehicle demand power prediction method, the present application embodiment further provides an example of a process of a vehicle demand power prediction method, which is described below in conjunction with the accompanying drawings. Fig.10 A schematic diagram of a vehicle power demand prediction method provided in an embodiment of the present application Figure 8 .like Fig.10 As shown, the schematic diagram provided by the embodiment of the present application Figure 8 This may include:

[0157] S1001, obtaining a current gear position of a target hybrid vehicle, a first shaft speed of an engine, a second shaft speed of a generator, a current throttle opening, current road slope information, and current vehicle weight information.

[0158] Specifically, the current gear position of the target hybrid vehicle, the first shaft speed N of the engine ECU, the generator GM, and the drive motor TM are obtained through the communication connection between the vehicle control device and the engine ECU, the generator GM, and the drive motor TM. E , the second shaft speed N of the generator GM G 、Current throttle opening Appr %, current road slope information and current vehicle weight information.

[0159] S1002: Determine a first rotational speed relationship among an engine, a generator, and an input shaft in a hybrid transmission structure according to gear transmission information.

[0160] Specifically, refer to the above Figure 1 The engine ECU, generator GM and input shaft correspond to the planet carrier 1, sun gear 1 and outer ring gear 1 in the input planetary gear structure respectively. According to the gear ratio of outer ring gear 1 and sun gear 1, the gear ratio value K of the input planetary gear structure is calculated using the above formula (1). And according to the gear ratio value K, the transmission ratio relationship between the planet carrier 1, sun gear 1 and outer ring gear 1 can be obtained, which corresponds to the first shaft speed N of the engine ECU in the hybrid vehicle architecture. E , the second shaft speed N of the generator GM G and the input shaft speed N A The speed relationship between the three, that is, the first speed relationship, can be determined using the above formula (2).

[0161] S1003: Determine a second speed relationship between the input shaft and the drive motor at the current gear according to the gear transmission information and the current gear.

[0162] Specifically, refer to the above Figure 1 If the gear transmission ratio value K1 under the current gear is obtained based on the gear structure information and the current gear, it means that the drive motor TM and the input shaft of the target hybrid vehicle are not directly connected, but connected through the gear structure. Depending on the current gear setting, the ring gear ratio between the drive motor TM and the input shaft will be different, and in the PTO gear mode, the drive motor TM and the input shaft are not connected. Therefore, it is necessary to first determine the current gear and the gear transmission ratio value K1 between the drive motor TM and the input shaft, and then determine the second speed relationship based on the gear transmission ratio value K1 under the current gear, that is, obtain the speed N of the input shaft. A and the third axis speed N of the drive motor TM T The corresponding relationship between them.

[0163] If the input shaft and the drive motor TM are directly connected, the input shaft speed N can be obtained A and the third axis speed N of the drive motor TM T Equal, that is, N A =N T . It can be expressed by the above formula (4).

[0164] S1004. Calculate the rotation speed of the input shaft according to the rotation speed of the first shaft and the rotation speed of the second shaft using a first rotation speed relationship.

[0165] Specifically, the gear transmission ratio value K of the input planetary gear structure is based on the first speed relationship and the first shaft speed N E and the second axis speed N G , accurately calculate the input shaft speed N A .

[0166] S1005. Calculate the third shaft speed of the drive motor according to the speed of the input shaft using the second speed relationship.

[0167] Specifically, according to the speed N of the input shaft corresponding to the current gear A and the gear ring ratio of the drive motor TM, i.e., the second speed relationship, to calculate the third shaft speed N of the drive motor TM T .

[0168] S1006: Calculate the initial peak required power of the target hybrid vehicle according to the first shaft speed of the engine, the second shaft speed of the generator, and the third shaft speed of the drive motor.

[0169] Specifically, the external characteristic parameters of the engine ECU, the external characteristic parameters of the generator GM, and the external characteristic parameters of the drive motor TM are obtained from the preset storage information of the hybrid vehicle. Then, according to the current gear, the first shaft speed N corresponding to the current gear is determined. E , Second axis speed N G , and the third axis speed N T , and obtain the first peak torque T of the engine ECU from the external characteristic parameters of the engine ECU, the external characteristic parameters of the generator GM, and the external characteristic parameters of the drive motor TM respectively. E , the second peak torque T of the generator GM G and the third peak torque T of the drive motor TM T The first peak power requirement P of the engine ECU is calculated by using the above formulas (5), (6) and (7): E The first peak power requirement P is calculated by summing the three power requirements and using the above formula (8): m .

[0170] S1007 . Correct the initial peak power demand according to the current throttle opening, the current road slope information, and the current vehicle weight information to obtain a target power demand of the target hybrid vehicle.

[0171] Specifically, according to the current throttle opening A ppr %, for the initial peak power demand P mThe correction is performed and the above formula (9) is used to obtain the first-corrected required power P0. Then, according to the current road slope information and the current vehicle weight information, the first-corrected required power P0 is corrected twice using the target multi-cloud regression function modelFun1, and the above formula (10) is used to obtain the target required power P1.

[0172] The vehicle power demand prediction method provided in the embodiment of the present application obtains the current gear position, the first shaft speed of the engine, the second shaft speed of the generator, the current throttle opening, the current road slope information and the current vehicle weight information of the target hybrid vehicle, determines the first speed relationship between the engine, the generator and the input shaft in the hybrid transmission structure according to the gear transmission information, determines the second speed relationship between the input shaft and the drive motor in the current gear according to the gear transmission information and the current gear position, calculates the speed of the input shaft according to the first shaft speed and the second shaft speed using the first speed relationship, calculates the third shaft speed of the drive motor according to the input shaft speed using the second speed relationship, calculates the initial peak power demand of the target hybrid vehicle according to the first shaft speed of the engine, the second shaft speed of the generator and the third shaft speed of the drive motor, corrects the initial peak power demand according to the current throttle opening, the current road slope information and the current vehicle weight information, and obtains the target power demand of the target hybrid vehicle. Therefore, the present application calculates the vehicle's required power in real time by comprehensively considering the current gear position, the rotation speed of each shaft, the throttle opening, the road slope, the vehicle weight and other information, and corrects the vehicle's required power in real time according to the throttle pedal opening requested by the driver, the vehicle information and the road slope information, so that the target required power is obtained, so that the hybrid vehicle can perform corresponding torque distribution according to the target required power. If the vehicle's required power is small at the current moment, the torque distributed by the engine becomes smaller, reducing the amount of fuel; if the required power is large at the current moment, the torque distributed by the engine becomes larger, improving the vehicle's power. Therefore, the accurate and real-time calculation of the target required power is of great significance to improving the power and fuel economy of hybrid vehicles. At the same time, it can also effectively improve the prediction accuracy of the required power of hybrid vehicles.

[0173] Based on the same inventive concept, a vehicle demand power prediction device is also provided in the embodiment of the present application. Since the principle of solving the problem by the device in the embodiment of the present application is similar to the above-mentioned vehicle demand power prediction method in the embodiment of the present application, the implementation of the device can refer to the implementation of the method, and the repeated parts will not be repeated.

[0174] Fig.11 This is a schematic diagram of the structure of a vehicle demand power prediction device provided in an embodiment of the present application. Fig.11 As shown, the vehicle control device applied to a hybrid vehicle, the vehicle demand power prediction device 1100 may include:

[0175] The acquisition module 1101 is used to acquire the current gear position of the target hybrid vehicle, the first shaft speed of the engine, the second shaft speed of the generator, the current throttle opening, the current road slope information and the current vehicle weight information;

[0176] A first calculation module 1102 is used to calculate a third shaft speed of a driving motor on the target hybrid vehicle according to the first shaft speed and the second shaft speed and using gear transmission information of a hybrid transmission on the target hybrid vehicle;

[0177] A second calculation module 1103, configured to calculate an initial peak required power of the target hybrid vehicle according to a first shaft speed of the engine, a second shaft speed of the generator, and a third shaft speed of the drive motor;

[0178] The correction module 1104 is used to correct the initial peak power demand according to the current throttle opening, the current road slope information and the current vehicle weight information to obtain the target power demand of the target hybrid vehicle. The target power demand is used to distribute torque to the engine, the generator and the drive motor.

[0179] In an optional embodiment, the first calculation module 1102 is specifically used to: determine a first speed relationship among the input shafts in the engine, generator and hybrid transmission structure according to gear transmission information; determine a second speed relationship between the input shaft and the drive motor in the current gear according to the gear transmission information and the current gear; calculate the speed of the input shaft using the first speed relationship based on the first shaft speed and the second shaft speed; calculate the third shaft speed of the drive motor using the second speed relationship based on the input shaft speed.

[0180] In an optional embodiment, the gear transmission information includes: information of an input planetary gear structure, the input planetary gear structure is used to transmit the engine, the generator and the input shaft; a first calculation module 1102, specifically used to: calculate the gear transmission ratio of the input planetary gear structure according to the information of the input planetary gear structure; and determine the first speed relationship according to the gear transmission ratio.

[0181] In an optional embodiment, the gear transmission information includes: information about the gear structure of the gear position, which is used to transmit the drive motor, the auxiliary power output device and the input shaft; a first calculation module 1102, which is specifically used to: obtain the gear transmission ratio value in the current gear position according to the information about the gear structure of the gear position and the current gear position; and determine the second speed relationship according to the gear transmission ratio value in the current gear position.

[0182] In an optional embodiment, the second calculation module 1103 is specifically used to: respectively obtain the external characteristic parameters of the engine, the external characteristic parameters of the generator, and the external characteristic parameters of the drive motor; respectively obtain the first peak torque of the engine, the second peak torque of the generator, and the third peak torque of the drive motor from the external characteristic parameters of the engine, the external characteristic parameters of the generator, and the external characteristic parameters of the drive motor according to the first shaft speed, the second shaft speed, and the third shaft speed; calculate the first peak demand power of the engine according to the first shaft speed and the first peak torque; calculate the second peak demand power of the generator according to the second shaft speed and the second peak torque; calculate the third peak demand power of the drive motor according to the second shaft speed and the second peak torque; calculate the initial peak demand power according to the first peak demand power, the first peak demand power, and the first peak demand power.

[0183] In an optional implementation, the correction module 1104 is specifically used to: correct the initial peak demand power according to the current throttle opening to obtain a first-corrected demand power; and perform a second correction on the first-corrected demand power according to the current road slope information and the current vehicle weight information to obtain the target demand power.

[0184] In an optional embodiment, the correction module 1104 is further used to: obtain multiple groups of historical data of the target hybrid vehicle, each group of historical data includes: historical road slope information, historical vehicle weight information, historical throttle opening and historical initial peak demand power; according to the historical throttle opening, perform a correction on the historical initial peak demand power to obtain the historical first-corrected demand power; according to the historical road slope information, historical vehicle weight information, and the corresponding historical first-corrected demand power in the multiple groups of historical data, perform polynomial fitting on the initial multi-cloud regression function with unknown slope influence factors and vehicle weight influence factors to obtain a target multi-cloud regression function with known slope influence factors and vehicle weight influence factors; according to the current road slope information, the current vehicle weight information and the first-corrected demand power, perform a second correction using the target multi-cloud regression function to obtain the target demand power.

[0185] It should be noted that for details not disclosed in the vehicle demand power prediction device in the embodiment of the present application, please refer to the details disclosed in the vehicle demand power prediction method in the embodiment of the present application, and the details will not be repeated here.

[0186] The above modules may be one or more integrated circuits configured to implement the above methods, such as one or more application specific integrated circuits (ASICs), or one or more microprocessors, or one or more field programmable gate arrays (FPGAs). For another example, when a module is implemented in the form of a processing element scheduling program code, the processing element may be a general-purpose processor, such as a central processing unit (CPU) or other processor that can call program code. For another example, these modules may be integrated together and implemented in the form of a system-on-a-chip (SOC).

[0187] Optionally, the embodiment of the present application further provides a computer-readable storage medium, on which a computer program is stored, and when the computer program is executed by a processor, the processor executes the steps of the vehicle demand power prediction method of the mobile storage medium in the above embodiment. The specific implementation method and technical effect are similar and will not be repeated here.

[0188] In the several 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 units is only a logical function division. There may be other division methods in actual implementation, such as multiple units or components can be combined or integrated into another system, 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.

[0189] The units described as separate components may or may not be physically separated, and the components shown as units may or may not be physical units, that is, they may be located in one place or distributed on multiple network units. Some or all of the units may be selected according to actual needs to achieve the purpose of the solution of this embodiment.

[0190] In addition, each functional unit in each embodiment of the present application may be integrated into one processing unit, or each unit may exist physically separately, or two or more units may be integrated into one unit. The above-mentioned integrated unit may be implemented in the form of hardware or in the form of hardware plus software functional units.

[0191] The above-mentioned integrated unit implemented in the form of a software functional unit can be stored in a computer-readable storage medium. The above-mentioned software functional unit is stored in a storage medium, including a number of instructions for a computer device (which can be a personal computer, a server, or a network device, etc.) or a processor (English: processor) to perform some steps of the method described in each embodiment of the present application. The aforementioned storage medium includes: U disk, mobile hard disk, read-only memory (English: Read-Only Memory, abbreviated: ROM), random access memory (English: Random Access Memory, abbreviated: RAM), disk or optical disk and other media that can store program codes.

[0192] The above description is only the preferred embodiment of the present application and is not intended to limit the present application. For those skilled in the art, the present application may have various modifications and variations. Any modification, equivalent replacement, improvement, etc. made within the spirit and principle of the present application shall be included in the protection scope of the present application.

Claims

1. A method for predicting vehicle power demand, characterized in that: The method comprises: Obtaining the current gear position of the target hybrid vehicle, the first shaft speed of the engine, the second shaft speed of the generator, the current throttle opening, the current road slope information, and the current vehicle weight information; Calculating a third shaft speed of a drive motor on the target hybrid vehicle according to the first shaft speed and the second shaft speed and using gear transmission information of a hybrid transmission on the target hybrid vehicle; calculating an initial peak required power of the target hybrid vehicle according to a first shaft speed of the engine, a second shaft speed of the generator, and a third shaft speed of the drive motor; The initial peak power demand is corrected according to the current throttle opening, the current road slope information and the current vehicle weight information to obtain the target power demand of the target hybrid vehicle, and the target power demand is used to distribute torque to the engine, the generator and the drive motor.

2. The vehicle demand power prediction method according to claim 1, characterized in that: The step of calculating the third shaft speed of the drive motor by using the gear transmission information of the hybrid transmission on the target hybrid vehicle includes: determining a first speed relationship among the engine, the generator, and an input shaft in a hybrid transmission structure according to the gear transmission information; Determining a second speed relationship between the input shaft and the drive motor at the current gear position according to the gear transmission information and the current gear position; Calculating the speed of the input shaft according to the first shaft speed and the second shaft speed using the first speed relationship; The third shaft speed of the drive motor is calculated according to the speed of the input shaft and using the second speed relationship.

3. The vehicle demand power prediction method according to claim 2, characterized in that: The gear transmission information includes: information of an input planetary gear structure, wherein the input planetary gear structure is used to perform transmission connection between the engine, the generator and the input shaft; Determining a first speed relationship among the engine, the generator, and an input shaft in a hybrid transmission structure according to the gear transmission information includes: Calculating a gear ratio value of the input planetary gear structure according to the information of the input planetary gear structure; The first speed relationship is determined according to the gear transmission ratio value.

4. The vehicle demand power prediction method according to claim 2, characterized in that: The gear transmission information includes: information of a gear structure of a gear position, wherein the gear structure of the gear position is used to perform transmission connection between the drive motor, the auxiliary power output device and the input shaft; The determining, according to the gear transmission information and the current gear, a second speed relationship between the input shaft and the drive motor at the current gear position includes: According to the information of the gear structure and the current gear, obtaining the gear transmission ratio value at the current gear; The second speed relationship is determined according to the gear transmission ratio value in the current gear position.

5. The vehicle demand power prediction method according to claim 1, characterized in that: The calculating the initial peak required power of the target hybrid vehicle according to the first shaft speed of the engine, the second shaft speed of the generator, and the third shaft speed of the drive motor includes: Respectively obtaining external characteristic parameters of the engine, external characteristic parameters of the generator, and external characteristic parameters of the drive motor; According to the first shaft speed, the second shaft speed, and the third shaft speed, respectively obtaining a first peak torque of the engine, a second peak torque of the generator, and a third peak torque of the drive motor from external characteristic parameters of the engine, external characteristic parameters of the generator, and external characteristic parameters of the drive motor; calculating a first peak required power of the engine according to the first shaft speed and the first peak torque; calculating a second peak required power of the generator according to the second shaft speed and the second peak torque; Calculating a third peak required power of the drive motor according to the third shaft speed and the third peak torque; The initial peak demand power is calculated according to the first peak demand power, the second peak demand power and the third peak demand power.

6. The vehicle demand power prediction method according to claim 1, characterized in that: The correcting the initial peak required power according to the current throttle opening, the current road slope information and the current vehicle weight information to obtain the target required power of the target hybrid vehicle includes: According to the current throttle opening, the initial peak required power is corrected to obtain a corrected required power; According to the current road slope information and the current vehicle weight information, the primary corrected required power is corrected for a second time to obtain the target required power.

7. The vehicle power demand prediction method according to claim 6, characterized in that: Before performing a secondary correction on the primary corrected required power according to the current road slope information and the current vehicle weight information to obtain the target required power, the method further includes: Acquire multiple groups of historical data of the target hybrid vehicle, each group of historical data including: historical road slope information, historical vehicle weight information, historical throttle opening, and historical initial peak demand power; According to the historical throttle opening, the historical initial peak demand power is corrected once to obtain a historical corrected demand power; According to the historical road slope information, the historical vehicle weight information, and the corresponding historical primary corrected required power in the multiple groups of historical data, a polynomial fitting is performed on an initial multi-cloud regression function whose slope influence factor and vehicle weight influence factor are unknown, to obtain a target multi-cloud regression function whose slope influence factor and vehicle weight influence factor are known; According to the current road slope information, the current vehicle weight information and the primary corrected required power, a secondary correction is performed using the target cloudy regression function to obtain the target required power.

8. A vehicle demand power prediction device, characterized in that: The device comprises: An acquisition module, used to acquire the current gear position of the target hybrid vehicle, the first shaft speed of the engine, the second shaft speed of the generator, the current throttle opening, the current road slope information and the current vehicle weight information; a first calculation module, configured to calculate a third shaft speed of a driving motor on the target hybrid vehicle according to the first shaft speed and the second shaft speed and using gear transmission information of a hybrid transmission on the target hybrid vehicle; a second calculation module, configured to calculate an initial peak required power of the target hybrid vehicle according to a first shaft speed of the engine, a second shaft speed of the generator, and a third shaft speed of the drive motor; A correction module is used to correct the initial peak demand power according to the current throttle opening, the current road slope information and the current vehicle weight information to obtain the target demand power of the target hybrid vehicle, and the target demand power is used to distribute torque to the engine, the generator and the drive motor.

9. A vehicle control device, characterized in that: include: A memory and a processor, wherein the memory stores a computer program executable on the processor, and the processor executes the computer program to perform the method according to any one of claims 1 to 7.

10. A hybrid vehicle, characterized in that: include: Vehicle control equipment, engine, generator, drive motor, hybrid gearbox; the engine, generator and drive motor are all connected to the vehicle drive shaft through the hybrid gearbox; The vehicle control device is communicatively connected to the engine, the generator, and the drive motor, respectively, and the vehicle control device is used to execute any of the methods described in claims 1-7.

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