New energy commercial vehicle power chain matching method, system, equipment and medium

Abstract

The embodiment of the invention provides a new energy commercial vehicle power chain matching method, system and device and a medium, and belongs to the field of vehicle power chain matching. The method comprises the following steps: acquiring a whole vehicle demand index input by a user; calling a power system component library, a pavement attribute library and a resistance coefficient library, performing calculation based on the whole vehicle demand index, and generating at least one power system recommendation configuration meeting the whole vehicle demand index; calculating the power performance index and the economical efficiency index of the whole vehicle under the configuration of the power system, judging whether the power performance index and the economical efficiency index meet the demand index or not, if yes, judging the gear shifting smoothness, and if yes, determining the corresponding smooth gear shifting rotating speed, and outputting a final power chain matching scheme; and if not, regenerating the recommended configuration of the power system or adjusting the configuration parameters. By constructing two closed-loop processes including demand analysis and matching check, the defects of excessive dependence on personal experience of engineers, conservative and rigid configuration selection, high artificial omission risk and difficulty in task allocation are avoided.

Description

Technical Field

[0001] This invention relates to the field of vehicle powertrain matching technology, and specifically to a matching method, system, equipment and medium for the powertrain of a new energy commercial vehicle. Background Technology

[0002] The market demand for new energy commercial vehicles is complex and ever-changing. The selection of power system components usually varies with factors such as the total weight of the vehicle, the common speed, the operating scenario, and the transportation terrain. Engineers usually need to select different power system components based on different operating scenarios, loads, and transportation terrain to maximize the vehicle's economy and minimize costs while meeting the vehicle's power requirements. This process involves a large amount of demand information and a large number of power system components, making the selection process difficult and time-consuming.

[0003] Current selection and matching methods often rely more on the experience of automotive engineers, referencing or using previous configuration combinations, and lack exploration and experimentation with new components. At the same time, the matching process depends more on the professional competence of automotive engineers, and inexperienced engineers are prone to overlooking relevant information or calculation items, making it difficult to allocate matching tasks. Summary of the Invention

[0004] The purpose of this invention is to provide a method, system, equipment and medium for matching the powertrain of new energy commercial vehicles, which solves the problem of time-consuming and difficult powertrain selection for automotive engineers from the aspects of demand analysis and matching verification.

[0005] To achieve the above objectives, embodiments of the present invention provide a method for matching the powertrain of a new energy commercial vehicle, comprising: Obtain the vehicle demand metrics input by the user; The system calls upon the powertrain component library, road surface attribute library, and drag coefficient library, and calculates based on the vehicle requirements to generate at least one recommended powertrain configuration that meets the vehicle requirements. Calculate the vehicle's power performance and economy indicators under the powertrain configuration, and determine whether they meet the vehicle's requirements. If they do, perform a shift smoothness assessment. If the shifts are smooth, determine the corresponding smooth shift speed and output the final powertrain matching scheme. If they do not meet the requirements, regenerate the recommended powertrain configuration or adjust the configuration parameters.

[0006] Optionally, the system can access the powertrain component library, road surface attribute library, and drag coefficient library, and calculate based on the vehicle requirements to generate at least one recommended powertrain configuration that meets the vehicle requirements, including: Input the vehicle requirements and basic configuration parameters; Select a calculation mode to determine the rules for retrieving drag coefficients from the drag coefficient library; Based on the vehicle demand indicators, the basic configuration parameters, the drag coefficient corresponding to the selected calculation mode, and the parameters called from the road surface attribute library, the performance parameters of the required power system components are calculated. The output analysis results include: the calculated vehicle demand index for powertrain components, and one or more recommended powertrain component combinations selected from the powertrain component library based on the vehicle demand index.

[0007] Optionally, the vehicle requirements include, but are not limited to: maximum speed, maximum gradeability, climbing speed at a preset gradient, acceleration time, and driving range.

[0008] Optionally, based on the vehicle demand indicators, the basic configuration parameters, the drag coefficient corresponding to the selected calculation mode, and the parameters retrieved from the road surface attribute library, the required performance parameters of the powertrain components are calculated, including: Based on the maximum vehicle speed requirement, calculate the first power, first torque, and speed of the required motor; based on the maximum gradeability requirement, calculate the second torque of the required motor; based on the climbing speed requirement at the preset slope, calculate the second power and third torque of the required motor; based on the acceleration time requirement and the target vehicle speed, calculate the third power and fourth torque of the required motor; based on the range requirement at constant speed, calculate the required battery capacity.

[0009] Optionally, the drag coefficient library provides at least two drag coefficient determination modes, including: A model for calculating the physical drag coefficient based on vehicle physical parameters; Standard drag coefficient model or coasting drag coefficient model based on vehicle tonnage interpolation.

[0010] Optionally, calculate the vehicle's overall performance and fuel economy indicators under this powertrain configuration, and determine whether they meet the vehicle's required performance indicators. If they do, perform a shift smoothness assessment. If the shifts are smooth, determine the corresponding smooth shift speed and output the final powertrain matching scheme. If the requirements are not met, regenerate the recommended powertrain configuration or adjust the configuration parameters, including: Input the recommended powertrain component combination as the configuration to be verified, as well as input the shift speed parameters and calculation mode selection; The drag coefficient library, powertrain component library, and road surface attribute library are invoked. Based on the actual component parameters, vehicle basic parameters, selected calculation mode, and shift speed of the configuration to be verified, verification calculations are performed to obtain the overall vehicle power performance and economic performance indicators under the configuration to be verified. The verification calculation includes at least one of the following processes: Based on the motor's peak capacity and vehicle parameters, calculate the maximum climbing ability of the current configuration under adhesion condition limitations. At a given gradient, the maximum climbing speed reached by the vehicle is jointly solved based on the peak capacity of the motor and the driving resistance equation, and the climbing speed of the vehicle during continuous operation is jointly solved based on the rated capacity of the motor and the driving resistance equation. Based on the peak capacity of the motor and the equation for driving resistance on flat roads, the maximum speed of the vehicle is solved jointly, and based on the rated capacity of the motor and the equation for driving resistance on flat roads, the continuous maximum speed of the vehicle is solved jointly. Based on the motor's external characteristic torque curve, vehicle driving resistance characteristics, and shifting strategy, the acceleration time from start to target speed is calculated using piecewise differentiation. Based on battery capacity, constant speed driving resistance power and accessory power consumption, calculate the constant speed energy consumption and driving range under the configuration to be verified. The vehicle's power performance and economy indicators, obtained through the above verification and calculation, are compared with the vehicle's demand indicators. If the vehicle's demand indicators are met, a shift process curve is generated based on the shift speed parameters to determine the smoothness of the shift. If the shift is smooth, the shift speed is determined as the smooth shift speed, and the final powertrain matching scheme is output in conjunction with the configuration to be verified. If the requirements are not met or the shift is not smooth, the recommended powertrain configuration is regenerated or the configuration parameters are adjusted.

[0011] Optionally, the matching method for the powertrain of the new energy commercial vehicle further includes: If the verification result does not meet the requirements, the limiting factors that cause the non-compliance will be identified and reported back. The limiting factors include at least one of torque limitation, speed limitation, and power limitation.

[0012] Secondly, the present invention also provides a powertrain matching system for new energy commercial vehicles, comprising: The indicator acquisition unit is used to acquire the vehicle demand indicators input by the user. The configuration recommendation unit is used to call the power system component library, road surface attribute library and drag coefficient library, and calculate based on the vehicle demand index to generate at least one power system recommended configuration that meets the vehicle demand index. The configuration verification unit is used to calculate the vehicle's power performance and economy indicators under the powertrain configuration, and determine whether the vehicle's requirements are met. If they are met, the shift smoothness is judged. If the shift is smooth, the corresponding smooth shift speed is determined, and the final powertrain matching scheme is output. If the requirements are not met, the recommended powertrain configuration is regenerated or the configuration parameters are adjusted.

[0013] Thirdly, the present invention also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to implement the steps of the above-described matching method for the powertrain of new energy commercial vehicles.

[0014] Fourthly, the present invention also provides a storage medium storing a computer program thereon, wherein the computer program, when executed by a processor, implements the steps of the above-described matching method for the powertrain of a new energy commercial vehicle.

[0015] By constructing a systematic, data-driven closed-loop process that includes two major components—demand analysis and matching verification—the above-mentioned technical solutions effectively overcome the shortcomings of existing technologies, such as over-reliance on engineers' personal experience, conservative and rigid configuration selection, high risk of human error, and difficulty in task allocation. This achieves standardization, efficiency, and precision in the matching of powertrains for new energy commercial vehicles.

[0016] Other features and advantages of the embodiments of the present invention will be described in detail in the following detailed description section. Attached Figure Description

[0017] The accompanying drawings are provided to further illustrate embodiments of the present invention and form part of the specification. They are used together with the following detailed description to explain the embodiments of the present invention, but do not constitute a limitation thereof. In the drawings: Figure 1 This is a flowchart of a powertrain matching method for new energy commercial vehicles provided in an embodiment of the present invention; Figure 2 This is a requirement analysis input-output relationship diagram provided in an embodiment of the present invention; Figure 3 This is a matching and verification input-output relationship diagram provided in an embodiment of the present invention; Figure 4 This is a flowchart of a powertrain matching process provided in an embodiment of the present invention; Figure 5 This is a schematic diagram of the structure of a matching system for the powertrain of a new energy commercial vehicle provided in an embodiment of the present invention; Figure 6 This is a schematic diagram of the hardware structure of an electronic device provided in an embodiment of the present invention. Detailed Implementation

[0018] Various embodiments of this disclosure will be described more fully in the following detailed description. This disclosure may have various embodiments, and adjustments and changes may be made therein. However, it should be understood that there is no intention to limit the various embodiments of this disclosure to the specific embodiments disclosed herein, but rather this disclosure should be understood to cover all adjustments, equivalents, and / or alternatives falling within the spirit and scope of the various embodiments of this disclosure.

[0019] In the following, the terms “comprising” or “may include”, which may be used in various embodiments of this disclosure, indicate the presence of the disclosed functions or operations and do not limit the addition of one or more functions or operations. Furthermore, as used in various embodiments of this disclosure, the terms “comprising,” “having,” and their cognates are intended only to indicate a specific feature, number, step, operation, or combination of the foregoing and should not be construed as primarily excluding the presence of one or more other features, numbers, steps, operations, or combinations of the foregoing, or the possibility of adding one or more features, numbers, steps, operations, or combinations of the foregoing.

[0020] In various embodiments of this disclosure, the expression "or" or "at least one of A and / or B" includes any combination or all combinations of the words listed simultaneously. For example, the expression "A or B" or "at least one of A and / or B" may include A, may include B, or may include both A and B.

[0021] The technical solutions of the embodiments of the present invention will be clearly and completely described below with reference to the accompanying drawings. Obviously, the described embodiments are only some embodiments of the present invention, and not all embodiments. Based on the embodiments of the present invention, all other embodiments obtained by those skilled in the art without creative effort are within the scope of protection of the present invention.

[0022] See Figure 1 The diagram shows a flowchart of a powertrain matching method for new energy commercial vehicles in a specific embodiment, including the following execution steps: Step 100: Obtain the vehicle demand indicators input by the user.

[0023] Specifically, the vehicle requirements include, but are not limited to: maximum speed, maximum gradeability, climbing speed at a preset gradient, acceleration time, and driving range.

[0024] For example, market demand indicators usually appear in the form of load capacity, vehicle speed, range, and road conditions (such as dirt roads, national highways, provincial highways, etc.). Load capacity, vehicle speed, and range indicators are clear, while road conditions need to be determined based on actual conditions (such as by collecting road data or drivers making judgments based on actual conditions). Finally, information such as maximum gradeability, required speed for climbing, continuous maximum gradeability, and acceleration capability are obtained. These information are combined to form the final demand indicators.

[0025] Step 101: Call the powertrain component library, road surface attribute library, and drag coefficient library, and calculate based on the vehicle requirement indicators to generate at least one recommended powertrain configuration that meets the vehicle requirement indicators.

[0026] For details, please refer to Figure 2 As shown, when executing step 101, the following steps can be specifically performed: S1010: Input the vehicle demand indicators and basic configuration parameters.

[0027] S1011: Select a calculation mode to determine the rules for calling drag coefficients from the drag coefficient library.

[0028] It should be understood that the calculation mode selection means that the engineer only needs to select the calculation mode on the operation interface, and the program can automatically calculate the corresponding drag coefficient value and use it for other calculations.

[0029] S1012: Based on the vehicle demand index, the basic configuration parameters, the drag coefficient corresponding to the selected calculation mode, and the parameters called from the road surface attribute library, calculate the performance parameters of the required power system components.

[0030] In one specific implementation, the main components selected for the powertrain are the motor and battery. Additionally, the gearbox and drive axle speed ratios need to be determined in advance (usually based on engineer experience and competitor information). Based on the performance requirements, the final required maximum continuous power, maximum continuous torque, required speed, battery power, and battery capacity are calculated. Components that meet these requirements can then be selected. The detailed calculation process is as follows: Specifically, when executing step S1012, the following sub-steps are executed: Known quantities: Gear ratios of each gear in the transmission (i1, i2...i...) n ); Drive axle ratio (also called rear axle ratio: i) r Total vehicle and cargo weight (m); tire radius (r); drag coefficients (a, b, c); adhesion coefficient (φ); rotational coefficient (δ); transmission efficiency (ef); drive axle load ratio (β); gravitational acceleration (g); frontal area (S) a Drag coefficient C d Rolling resistance coefficient f; Vehicle additional power P0.

[0031] SA: Based on the maximum vehicle speed requirement, calculate the required motor's first power, first torque, and speed.

[0032] For example, based on the (continuous) maximum vehicle speed requirement v according to the following formula... max Calculate the required motor speed n vmax Torque T vmax Power Pvmax : ; ; .

[0033] SB: Calculate the required second torque of the motor based on the maximum gradeability requirement.

[0034] For example, based on the maximum gradient requirement θ max Calculate the required torque T of the motor θmax : .

[0035] SC: Calculate the required second power and third torque of the motor based on the climbing speed requirement index under the preset slope.

[0036] For example, based on the maximum (continuous) climbing speed requirement v at a certain slope θ, calculate the maximum (continuous) power P and maximum (continuous) torque T of the motor: ; .

[0037] SD: Calculate the required third power and fourth torque of the motor based on the acceleration time requirement and the target vehicle speed.

[0038] For example, based on a certain slope θ a Acceleration time requirement t a Calculate the motor power P a and torque T a Demand indicators (final vehicle speed is v) a ): .

[0039] SE: Calculates the required battery capacity based on the range requirement at constant speed.

[0040] For example, based on the constant speed vehicle speed v d Given the range index S, calculate the battery power demand index H: .

[0041] Based on the above calculation indicators, select the motor and battery that meet the requirements.

[0042] It should be understood that the aforementioned drag coefficient library provides at least two drag coefficient determination modes, including: Physical drag coefficient model calculated based on vehicle physical parameters; standard drag coefficient model or coasting drag coefficient model interpolated based on vehicle tonnage.

[0043] S1013: Output the analysis results, wherein the analysis results include: the calculated vehicle demand index of powertrain components, and one or more recommended powertrain component combinations selected from the powertrain component library based on the vehicle demand index.

[0044] Step 102: Calculate the vehicle's power performance and economy indicators under the powertrain configuration, and determine whether they meet the vehicle's requirements. If they do, perform a shift smoothness judgment. If the shift is smooth, determine the corresponding smooth shift speed and output the final powertrain matching scheme. If not, regenerate the recommended powertrain configuration or adjust the configuration parameters.

[0045] For details, please refer to Figure 3 As shown, when executing step 102, the following steps can be specifically performed: S1020: Input the recommended powertrain component combination as the configuration to be verified, and input the shift speed parameters and calculation mode selection.

[0046] S1021: Call the drag coefficient library, powertrain component library, and road surface attribute library, and perform verification calculations based on the actual component parameters, vehicle basic parameters, selected calculation mode, and shift speed of the configuration to be verified, to obtain the vehicle's overall power performance and economic performance indicators under the configuration to be verified; wherein, the verification calculation includes at least one of the following processes: Known quantities: Gear ratios of each gear in the transmission (i1, i2...i...) n ); Drive axle ratio (also called rear axle ratio: i) r Total vehicle and cargo weight (m); tire radius (r); drag coefficients (a, b, c); adhesion coefficient (φ); rotational coefficient (δ); transmission efficiency (ef); drive axle load ratio (β); gravitational acceleration (g); frontal area (S) a Drag coefficient C d Rolling resistance coefficient f; vehicle additional power P0; motor peak power P max Motor rated power P e Peak torque T of the motor max Motor rated torque T e Battery capacity (H).

[0047] (1) Based on the peak capacity of the motor and the vehicle parameters, calculate the maximum climbing ability of the current configuration under the adhesion condition limit.

[0048] Specifically, the maximum gradient is calculated using the following formula: ; In the formula, θ is the maximum gradient.

[0049] (2) Under a specified slope, based on the peak capacity of the motor and the driving resistance equation, the maximum climbing speed reached by the vehicle is solved together, and based on the rated capacity of the motor and the driving resistance equation, the climbing speed of the vehicle during continuous operation is solved together.

[0050] Specifically, calculate the maximum climbing speed v under a gradient θ. max The following two conditions must be met simultaneously: the power must not exceed the motor's maximum power P. max The torque does not exceed the maximum torque T of the motor. max : ; ; Solve the two equations to find the maximum value of v. max1 and v max2 The minimum of the two is the value we are looking for.

[0051] .

[0052] It should be noted that the rotational speed should not exceed the motor's maximum rotational speed n. max ,Right now: .

[0053] If the engine speed is exceeded, the maximum vehicle speed is calculated by reverse calculation using the maximum engine speed, that is: .

[0054] Calculate the continuous uphill speed v under gradient θ e The calculation steps are the same as those in the above formula P. max T max The same applies, but the motor torque and power need to be replaced with the rated values, which will not be elaborated here.

[0055] (3) Based on the peak capacity of the motor and the equation of driving resistance on flat road, the maximum speed of the vehicle is solved together, and based on the rated capacity of the motor and the equation of driving resistance on flat road, the continuous maximum speed of the vehicle is solved together.

[0056] For example, the calculation of the maximum vehicle speed: Constraints include no slope, θ=0, and sinθ=0. Power constraints: Solving for the power limit vehicle speed v1, we obtain the power limit vehicle speed. Torque constraint: Solving for the matrix, we obtain the speed limit v2.

[0057] Ultimately, the top speed was If the rotational speed exceeds n max Then, the vehicle speed can be calculated using the following formula: .

[0058] Continuous top speed vc calculate: .

[0059] (4) Based on the external characteristic torque curve of the motor, the driving resistance characteristics of the vehicle and the shifting strategy, the acceleration time from start to target speed is calculated by piecewise differentiation.

[0060] Specifically, acceleration time calculation needs to consider the magnitude of traction force and resistance, and the basic formula is 1). ;2) t=δv / a, where δv is the velocity difference before and after acceleration, and F 牵引 The gear is related to the car's gear; it changes with vehicle speed, therefore F changes during acceleration. 牵引 It also changes, and the traction force can be calculated using the following formula: F 阻 It is related to vehicle speed; generally, the higher the vehicle speed, the greater the F. 阻 The larger the value, the more the relationship between the two can be determined by the following formula: .

[0061] To calculate the acceleration time, the concept of differentiation is used to subdivide the entire acceleration process into multiple small segments, each of which is considered as uniform acceleration. As long as there are enough subdivisions, the calculation will be accurate enough. This process is implemented using a programming language. (However, attention must be paid to the shift time; the number of shifts must be counted during the calculation, and the shift time must be added to the final result).

[0062] (5) Based on the battery charge, constant speed driving resistance power and accessory power consumption, calculate the constant speed energy consumption and driving range under the configuration to be verified.

[0063] Specifically, calculate constant velocity v using the following formula. d Energy consumption η below: ; Calculate the constant velocity v using the following formula. d The following driving range S: .

[0064] S1022: The vehicle power performance and economy indicators obtained through the above verification calculations are compared with the vehicle demand indicators. If the vehicle demand indicators are met, a shift process curve is generated based on the shift speed parameters to determine the shift smoothness. If the shift is smooth, the shift speed is determined as the smooth shift speed, and the final powertrain matching scheme is output in combination with the configuration to be verified. If the requirements are not met or the shift is not smooth, the recommended powertrain configuration is regenerated or the configuration parameters are adjusted.

[0065] In one specific implementation, if the verification result does not meet the required indicators, the limiting factors that cause the non-compliance are identified and fed back, wherein the limiting factors include at least one of torque limitation, speed limitation, and power limitation.

[0066] In one specific implementation, a visual interface can be created using a certain tool, and its code can be used to implement the internal calculation logic, including but not limited to Excel and VBA. Information such as existing power system components and their parameters and limits, known road surface properties, and relevant parameters of various resistance coefficients can be summarized into a database to facilitate data management and retrieval.

[0067] It should be understood that the specific methods are not limited to any particular form, and multiple programming languages ​​may be used to achieve this. Taking the built-in programming language VBA in Excel as an example, the interface is set in Excel. By entering values ​​in cells or selecting information such as the type of vehicle to be calculated and the calculation mode, the internal program is triggered to run through the motor calculation button.

[0068] In this embodiment, the matching process is formalized into a standardized procedure of requirements analysis and matching verification, and key calculation bases (vehicle parameters and database) are specified. This makes the matching process less reliant on the individual experience and professional skills of engineers. Inexperienced engineers can operate according to this standardized process, effectively avoiding information omissions or missing calculation items due to lack of experience, while also reducing the difficulty of matching task allocation.

[0069] By accessing databases such as the powertrain component library and performing calculations and screenings based on demand indicators, the system can systematically traverse and evaluate the combination possibilities of all components (including newly added components) in the library. This breaks away from the conservative model of existing technologies that rely heavily on referencing or continuing previous configurations and combinations, encouraging and supporting the exploration and experimentation with new components and combinations, thereby potentially discovering better and more innovative powertrain solutions.

[0070] The matching and verification process requires positive performance calculations and metric verification of the recommended configuration, with shift smoothness as a key criterion. This closed-loop verification mechanism ensures that all critical performance requirements (power, economy) and quality requirements (smoothness) are systematically checked, significantly reducing the risk of human error or calculation omissions, thereby improving the accuracy and reliability of the final matching scheme.

[0071] This frees engineers from tedious and repetitive manual calculations and experience-based judgments, allowing them to focus more on higher-value tasks such as requirements definition and solution decision-making. This not only significantly improves the overall efficiency of matching work but also makes the allocation of human resources more rational and efficient.

[0072] See Figure 4The diagram illustrates a powertrain matching flowchart provided in this embodiment of the invention. It includes: inputting demand indicators to a demand analysis module. During runtime, this module calls the underlying powertrain component library, road surface attribute library, and drag coefficient library to obtain vehicle platform, usage scenario, and physical model parameters. Based on the demand indicators and database information, and through preset calculation logic, it reverse-engineers the key performance parameter ranges of the power components (motor, battery, etc.) required to meet the demand. It outputs one or more recommended configurations, i.e., component combination schemes for specific models. The recommended configurations are input to a matching verification module. This module also calls the aforementioned three databases to obtain the precise parameters of the selected components and the environmental / physical coefficients required for calculation. Forward simulation calculations are performed on the recommended configurations to accurately evaluate their actual power and economic performance. The calculation results are compared with the original demand indicators to generate the first decision point: whether the demand indicators are met. If the result is negative, the process directly ends this round of matching (which can be understood as the configuration being eliminated), and the system needs to return upstream for re-analysis or recommendation. This indicates that the process has a strict performance control mechanism. If the result is positive, the process enters the next level of quality verification. Shift smoothness verification phase: For configurations that meet performance indicators, the system performs a shift curve plotting operation to simulate the shifting process. Based on the shift curve, a second decision point is made to determine whether the shift is smooth. This is a crucial verification of driving quality and system reliability. If the result is negative, this round of matching ends, and the process returns to upstream adjustment. This indicates that the process assesses not only hard performance but also driving quality. If the result is positive, the final determination step begins. The smooth shift speed corresponding to the smooth shift curve is recorded and determined. The recommended configuration that meets all performance indicators (requirement indicators) and quality requirements (shift smoothness), along with the smooth shift speed, is solidified into the final matched solution.

[0073] It should be understood that the sequence number of each step in the above embodiments does not imply the order of execution. The execution order of each process should be determined by its function and internal logic, and should not constitute any limitation on the implementation process of the embodiments of the present invention.

[0074] like Figure 5 As shown, the following are embodiments of the matching system for the powertrain of new energy commercial vehicles provided in this disclosure. The matching system for the powertrain of new energy commercial vehicles belongs to the same inventive concept as the matching methods for the powertrain of new energy commercial vehicles in the above embodiments. For details not described in detail in the embodiments of the matching system for the powertrain of new energy commercial vehicles, please refer to the embodiments of the matching methods for the powertrain of new energy commercial vehicles described above.

[0075] The matching system for the powertrain of new energy commercial vehicles includes: The indicator acquisition unit is used to acquire the vehicle demand indicators input by the user. The configuration recommendation unit is used to call the power system component library, road surface attribute library and drag coefficient library, and calculate based on the vehicle demand index to generate at least one power system recommended configuration that meets the vehicle demand index. The configuration verification unit is used to calculate the vehicle's power performance and economy indicators under the powertrain configuration, and determine whether the vehicle's requirements are met. If they are met, the shift smoothness is judged. If the shift is smooth, the corresponding smooth shift speed is determined, and the final powertrain matching scheme is output. If the requirements are not met, the recommended powertrain configuration is regenerated or the configuration parameters are adjusted.

[0076] Figure 6 This is a schematic diagram of the hardware structure of an electronic device that implements various embodiments of the present invention.

[0077] The powertrain matching method for new energy commercial vehicles provided in this application embodiment can be applied to electronic devices. Those skilled in the art will understand that the electronic device structure involved in the embodiments of this invention does not constitute a limitation on the electronic device. An electronic device may include more or fewer components than illustrated, or combine certain components, or have different component arrangements. In the embodiments of this invention, the electronic device includes, but is not limited to, laptop computers, desktop computers, workbenches, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device may also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices, and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely examples and are not intended to limit the implementation of the embodiments of this application described and / or claimed herein.

[0078] Electronic devices may include processors, external memory interfaces, internal memory, universal serial bus (USB) interfaces, charging management modules, power management modules, batteries, wireless communication modules, audio modules, speakers, microphones, sensor modules, buttons, cameras, displays, and SIM card interfaces, etc.

[0079] It is understood that the structures illustrated in the embodiments of this application do not constitute a specific limitation on the electronic device. In other embodiments of this application, the electronic device may include more or fewer components than illustrated, or combine some components, or split some components, or have different component arrangements. The illustrated components may be implemented in hardware, software, or a combination of software and hardware.

[0080] A processor may include one or more processing units, such as: a central processing unit (CPU), an application processor (AP), a modem processor, a graphics processing unit (GPU), an image signal processor (ISP), a controller, memory, a video codec, a digital signal processor (DSP), a baseband processor, and / or a neural network processing unit (NPU). Different processing units may be independent devices or integrated into one or more processors.

[0081] The processor can serve as the nerve center and command center of an electronic device. The controller can generate operation control signals based on the instruction opcode and timing signals to control the fetching and execution of instructions.

[0082] The processor may also include memory for storing instructions and data. In some embodiments, the memory in the processor is a cache memory. This memory can store instructions or data that the processor has just used or that are used repeatedly. If the processor needs to use the instruction or data again, it can retrieve it directly from this memory. This avoids repeated accesses, reduces processor latency, and thus improves system efficiency.

[0083] An external storage interface (ESI) can be used to connect external memory cards, such as microSD cards, to expand the storage capacity of electronic devices. The external memory card communicates with the processor through the ESI to perform data storage functions, such as saving music and video files on the external memory card.

[0084] Internal memory can be used to store computer executable program code, which includes instructions. The processor executes various functional applications and data processing of electronic devices by running the instructions stored in internal memory. Internal memory can include a program storage area and a data storage area. Internal memory can include high-speed random access memory, and can also include non-volatile memory, such as at least one disk storage device, flash memory device, universal flash storage (UFS), etc.

[0085] Wireless communication functionality in electronic devices can be achieved through antennas, wireless communication modules, modem processors, and baseband processors.

[0086] Wireless communication modules can provide solutions for wireless communication applications in electronic devices, including wireless local area networks (WLANs) (such as wireless fidelity (Wi-Fi) networks), Bluetooth (BT), global navigation satellite system (GNSS), frequency modulation (FM), near field communication (NFC), and infrared (IR) technologies.

[0087] Electronic devices can implement audio functions through audio modules, speakers, receivers, microphones, headphone jacks, and application processors.

[0088] Electronic devices can achieve shooting functions through ISPs, cameras, video codecs, GPUs, displays, and application processors.

[0089] Electronic devices can achieve display functions through GPUs, displays, and application processors.

[0090] A GPU is a microprocessor for image processing, connected to the display screen and application processor. GPUs are used to perform mathematical and geometric calculations for graphics rendering. A processor may include one or more GPUs, which execute program instructions to generate or modify display information.

[0091] A display screen is used to display images, videos, etc. A display screen includes a display panel.

[0092] The storage medium provided in this application stores a program product capable of implementing a matching method for the powertrain of new energy commercial vehicles.

[0093] The matching method for the powertrain of new energy commercial vehicles includes: obtaining the vehicle demand indicators input by the user; calling the powertrain component library, road attribute library, and drag coefficient library, and calculating based on the vehicle demand indicators to generate at least one recommended powertrain configuration that meets the vehicle demand indicators; calculating the vehicle power performance indicators and economic indicators under the powertrain configuration, and determining whether the vehicle demand indicators are met. If they are met, a shift smoothness judgment is performed. If the shift is smooth, the corresponding smooth shift speed is determined, and the final powertrain matching scheme is output. If the requirements are not met, a new recommended powertrain configuration is generated or the configuration parameters are adjusted.

[0094] In some possible implementations, the subject matter of this disclosure, namely, "Method and System for Matching the Powertrain of New Energy Commercial Vehicles," can be implemented as a program product comprising program code. When the program product is run on a terminal device, the program code is used to cause the terminal device to perform the steps described in the "Exemplary Methods" section of this specification according to various exemplary embodiments of this disclosure.

[0095] The storage medium disclosed herein may be any combination of one or more readable media. A readable medium may be a readable signal medium or a readable storage medium. A readable storage medium may be, for example, but not limited to, an electrical, magnetic, optical, electromagnetic, infrared, or semiconductor system, apparatus, or device, or any combination thereof. More specific examples (a non-exhaustive list) of readable storage media include: an electrical connection having one or more wires, a portable disk, a hard disk, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fiber, portable compact disk read-only memory (CD-ROM), optical storage device, magnetic storage device, or any suitable combination thereof.

[0096] The above description of the disclosed embodiments enables those skilled in the art to make or use the invention. Various modifications to these embodiments will be readily apparent to those skilled in the art, and the general principles defined herein may be implemented in other embodiments without departing from the spirit or scope of the invention. Therefore, the invention is not to be limited to the embodiments shown herein, but is to be accorded the widest scope consistent with the principles and novel features disclosed herein.

Claims

1. A method for matching the powertrain of a new energy commercial vehicle, characterized in that, include: Obtain the vehicle demand metrics input by the user; The system calls upon the powertrain component library, road surface attribute library, and drag coefficient library, and calculates based on the vehicle requirements to generate at least one recommended powertrain configuration that meets the vehicle requirements. Calculate the vehicle's power performance and economy indicators under the powertrain configuration, and determine whether they meet the vehicle's requirements. If they do, perform a shift smoothness assessment. If the shifts are smooth, determine the corresponding smooth shift speed and output the final powertrain matching scheme. If they do not meet the requirements, regenerate the recommended powertrain configuration or adjust the configuration parameters.

2. The matching method for the powertrain of new energy commercial vehicles according to claim 1, characterized in that, By calling upon the powertrain component library, road surface attribute library, and drag coefficient library, and calculating based on the aforementioned vehicle requirement indicators, at least one recommended powertrain configuration that meets the vehicle requirement indicators is generated, including: Input the vehicle requirements and basic configuration parameters; Select a calculation mode to determine the rules for retrieving drag coefficients from the drag coefficient library; Based on the vehicle demand indicators, the basic configuration parameters, the drag coefficient corresponding to the selected calculation mode, and the parameters called from the road surface attribute library, the performance parameters of the required power system components are calculated. The output analysis results include: the calculated vehicle demand index for powertrain components, and one or more recommended powertrain component combinations selected from the powertrain component library based on the vehicle demand index.

3. The matching method for the powertrain of new energy commercial vehicles according to claim 2, characterized in that, The vehicle requirements include, but are not limited to: maximum speed, maximum gradeability, climbing speed at a preset gradient, acceleration time, and driving range.

4. The matching method for the powertrain of new energy commercial vehicles according to claim 3, characterized in that, Based on the vehicle demand indicators, the basic configuration parameters, the drag coefficient corresponding to the selected calculation mode, and the parameters retrieved from the road surface attribute library, the required performance parameters of the powertrain components are calculated, including: Based on the maximum vehicle speed requirement, calculate the first power, first torque, and speed of the required motor; based on the maximum gradeability requirement, calculate the second torque of the required motor; based on the climbing speed requirement at the preset slope, calculate the second power and third torque of the required motor; based on the acceleration time requirement and the target vehicle speed, calculate the third power and fourth torque of the required motor; based on the range requirement at constant speed, calculate the required battery capacity.

5. The matching method for the powertrain of new energy commercial vehicles according to claim 2, characterized in that, The aforementioned drag coefficient library provides at least two drag coefficient determination modes, including: A model for calculating the physical drag coefficient based on vehicle physical parameters; Standard drag coefficient model or coasting drag coefficient model based on vehicle tonnage interpolation.

6. The matching method for the powertrain of new energy commercial vehicles according to claim 2, characterized in that, Calculate the vehicle's power performance and economy indicators under the power system configuration, and determine whether they meet the vehicle's requirements. If they do, perform a shift smoothness judgment. If the shift is smooth, determine the corresponding smooth shift speed and output the final powertrain matching scheme. If not, the recommended powertrain configuration will be regenerated or the configuration parameters will be adjusted, including: Input the recommended powertrain component combination as the configuration to be verified, and input the shift speed parameters and calculation mode selection; The drag coefficient library, powertrain component library, and road surface attribute library are invoked. Based on the actual component parameters, vehicle basic parameters, selected calculation mode, and shift speed of the configuration to be verified, verification calculations are performed to obtain the overall vehicle power performance and economic performance indicators under the configuration to be verified. The verification calculation includes at least one of the following processes: Based on the motor's peak capacity and vehicle parameters, calculate the maximum climbing ability of the current configuration under adhesion condition limitations. At a given gradient, the maximum climbing speed reached by the vehicle is jointly solved based on the peak capacity of the motor and the driving resistance equation, and the climbing speed of the vehicle during continuous operation is jointly solved based on the rated capacity of the motor and the driving resistance equation. Based on the peak capacity of the motor and the equation for driving resistance on flat roads, the maximum speed of the vehicle is solved jointly, and based on the rated capacity of the motor and the equation for driving resistance on flat roads, the continuous maximum speed of the vehicle is solved jointly. Based on the motor's external characteristic torque curve, vehicle driving resistance characteristics, and shifting strategy, the acceleration time from start to target speed is calculated using piecewise differentiation. Based on battery capacity, constant speed driving resistance power and accessory power consumption, calculate the constant speed energy consumption and driving range under the configuration to be verified. The vehicle's power performance and economy indicators, obtained through the above verification and calculation, are compared with the vehicle's demand indicators. If the vehicle's demand indicators are met, a shift process curve is generated based on the shift speed parameters to determine the smoothness of the shift. If the shift is smooth, the shift speed is determined as the smooth shift speed, and the final powertrain matching scheme is output in conjunction with the configuration to be verified. If the requirements are not met or the shift is not smooth, the recommended powertrain configuration is regenerated or the configuration parameters are adjusted.

7. The matching method for the powertrain of new energy commercial vehicles according to claim 6, characterized in that, The matching method for the powertrain of the new energy commercial vehicle also includes: If the verification result does not meet the requirements, the limiting factors that cause the non-compliance will be identified and reported back. The limiting factors include at least one of torque limitation, speed limitation, and power limitation.

8. A matching system for the powertrain of a new energy commercial vehicle, characterized in that, include: The indicator acquisition unit is used to acquire the vehicle demand indicators input by the user. The configuration recommendation unit is used to call the power system component library, road surface attribute library and drag coefficient library, and calculate based on the vehicle demand index to generate at least one power system recommended configuration that meets the vehicle demand index. The configuration verification unit is used to calculate the vehicle's power performance and economy indicators under the powertrain configuration, and determine whether the vehicle's requirements are met. If they are met, the shift smoothness is judged. If the shift is smooth, the corresponding smooth shift speed is determined, and the final powertrain matching scheme is output. If the requirements are not met, the recommended powertrain configuration is regenerated or the configuration parameters are adjusted.

9. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the matching method for the powertrain of new energy commercial vehicles as described in any one of claims 1 to 7.

10. A storage medium having a computer program stored thereon, characterized in that, When the computer program is executed by the processor, it implements the steps of the matching method for the powertrain of new energy commercial vehicles as described in any one of claims 1 to 7.

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