A brake system optimization method, device, equipment and storage medium

Abstract

This invention discloses a braking system optimization method, apparatus, device, and storage medium. The method includes: creating a virtual braking system based on the component connection relationships of the actual braking system of a target pure electric vehicle; simulating the operation of the virtual braking system according to the air pump working logic of the actual braking system to obtain the target air pressure change within the virtual air reservoir of the virtual braking system; and verifying the component parameters of the actual braking system based on the target air pressure change. Compared to existing empirical estimation methods for selecting braking system components, this invention, through the simulation of the actual braking system and its operation of a pure electric vehicle, more closely resembles real-world operating conditions and improves the accuracy of component selection and matching in the actual braking system.

Description

Technical Field

[0001] This invention relates to the field of vehicle technology, and in particular to a braking system optimization method, apparatus, device, and storage medium. Background Technology

[0002] The vehicle braking system plays a crucial role in vehicle safety and is the most important of all vehicle systems. Its performance directly affects vehicle safety.

[0003] Currently, most existing pure electric vehicle braking systems use empirical values ​​to estimate the models of components in the braking system, which results in significant errors and low accuracy. Summary of the Invention

[0004] This invention provides a braking system optimization method, apparatus, device, and storage medium to improve the accuracy of component selection and matching in real braking systems.

[0005] According to one aspect of the present invention, a braking system optimization method is provided, comprising:

[0006] A virtual braking system is created based on the component connection relationships of the actual braking system of the target pure electric vehicle;

[0007] Based on the working logic of the air pump in the real braking system, the working process of the virtual braking system is simulated to obtain the target air pressure change in the virtual air tank of the virtual braking system.

[0008] Based on the changes in target air pressure, the parameters of components in the actual braking system are verified.

[0009] According to another aspect of the present invention, a braking system optimization device is provided, comprising:

[0010] The virtual braking system creation module is used to create a virtual braking system based on the component connection relationships of the real braking system of the target pure electric vehicle.

[0011] The air pressure change acquisition module is used to simulate the working process of the virtual braking system based on the working logic of the air pump of the real braking system, and obtain the target air pressure change in the virtual air tank of the virtual braking system.

[0012] The component parameter adjustment module is used to verify the component parameters in the actual braking system based on changes in the target air pressure.

[0013] According to another aspect of the present invention, an electronic device is provided, the electronic device comprising:

[0014] At least one processor; and

[0015] A memory that is communicatively connected to at least one processor; wherein,

[0016] The memory stores a computer program that can be executed by at least one processor, such that the at least one processor is able to perform the braking system optimization method according to any embodiment of the present invention.

[0017] According to another aspect of the present invention, a computer-readable storage medium is provided, which stores computer instructions for causing a processor to execute and implement the braking system optimization method described in any embodiment of the present invention.

[0018] The technical solution of this invention creates a virtual braking system based on the component connection relationships of the actual braking system of a target pure electric vehicle. Then, based on the air pump operating logic of the actual braking system, the working process of the virtual braking system is simulated to obtain the target air pressure changes within the virtual air reservoir. Subsequently, based on these target air pressure changes, the component parameters of the actual braking system are verified. Compared to existing methods based on empirical estimation for selecting braking system components, this invention, through the simulation of the actual braking system and its operating process of a pure electric vehicle, more closely resembles real-world operating conditions and improves the accuracy of component selection and matching in the actual braking system.

[0019] It should be understood that the description in this section is not intended to identify key or essential features of the embodiments of the present invention, nor is it intended to limit the scope of the invention. Other features of the invention will become readily apparent from the following description. Attached Figure Description

[0020] To more clearly illustrate the technical solutions in the embodiments of the present invention, the accompanying drawings used in the description of the embodiments will be briefly introduced below. Obviously, the accompanying drawings described below are only some embodiments of the present invention. For those skilled in the art, other drawings can be obtained based on these drawings without creative effort.

[0021] Figure 1A This is a flowchart of a braking system optimization method provided in Embodiment 1 of the present invention;

[0022] Figure 1B This is a component connection diagram of a virtual braking system drawn based on the AMESim simulation platform, provided in an embodiment of the present invention.

[0023] Figure 2A This is a flowchart of a braking system optimization method provided in Embodiment 2 of the present invention;

[0024] Figure 2BThis is the target air pressure change curve after braking by the virtual braking system provided in this embodiment of the invention;

[0025] Figure 3 This is a schematic diagram of a braking system optimization device according to Embodiment 3 of the present invention;

[0026] Figure 4 This is a schematic diagram of the structure of an electronic device that implements the braking system optimization method of the present invention. Detailed Implementation

[0027] To enable those skilled in the art to better understand the present invention, the technical solutions of the present invention will be clearly and completely described below with reference to the accompanying drawings of the embodiments of the present invention. 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 should fall within the scope of protection of the present invention.

[0028] It should be noted that the terms "first," "second," "target," and "virtual," etc., used in the specification, claims, and accompanying drawings of this invention are used to distinguish similar objects and are not necessarily used to describe a specific order or sequence. It should be understood that such data can be interchanged where appropriate so that embodiments of the invention described herein can be implemented in orders other than those illustrated or described herein. Furthermore, the terms "comprising" and "having," and any variations thereof, are intended to cover non-exclusive inclusion; for example, a process, method, system, product, or apparatus that comprises a series of steps or units is not necessarily limited to those steps or units explicitly listed, but may include other steps or units not explicitly listed or inherent to such processes, methods, products, or apparatus.

[0029] Furthermore, it should be noted that the collection, storage, use, processing, transmission, provision, and disclosure of relevant data of the actual braking system involved in the technical solution of the present invention all comply with the provisions of relevant laws and regulations and do not violate public order and good morals.

[0030] Example 1

[0031] Figure 1A This is a flowchart of a braking system optimization method provided in Embodiment 1 of the present invention. This embodiment is applicable to optimizing the braking system of pure electric vehicles. The method can be executed by a braking system optimization device, which can be implemented in hardware and / or software. This device can be configured in an electronic device, which can be a software simulation platform, such as the AMESim simulation platform. Figure 1AAs shown, the method includes:

[0032] S101. Create a virtual braking system based on the component connection relationships of the actual braking system of the target pure electric vehicle.

[0033] The target pure electric vehicle refers to a real pure electric vehicle whose braking system component parameters require adjustment. The real braking system refers to the actual braking system of the target pure electric vehicle. Components refer to the parts that make up the real braking system of the target pure electric vehicle, and may include compressors, air tanks, pressure sensors, compressor pumps, air supply lines, or control lines, etc. Component connection relationships refer to the connection relationships between components in the real braking system. The virtual braking system refers to a virtual braking system obtained by simulating the real braking system.

[0034] Optionally, the components of a virtual braking system can be constructed based on the components of the actual braking system of the target pure electric vehicle, and the connection relationships between the components in the virtual braking system can be drawn according to the connection relationships of the components in the actual braking system of the target pure electric vehicle. For example, a virtual braking system can be created based on the component connection relationships of the actual braking system of the pure electric vehicle using a software simulation platform. The software simulation platform is specifically designed to simulate real computer software and can be the AMESim simulation platform. The AMESim simulation platform is used for complex system modeling and simulation in multidisciplinary fields.

[0035] Specifically, based on the components of a real braking system provided by the AMESim software simulation platform, the components of a virtual braking system can be constructed. Then, following the connection relationships of the components in the real braking system, the connection relationships between the components in the virtual braking system can be drawn. For example, such as... Figure 1B As shown, outside air 1 is connected to compressor pump 2. Compressor pump 2 is connected to air storage tank 3 and pressure sensor 4 respectively. Air storage tank 3 is connected to pressure sensor 4. Pressure sensor 4 is connected to brake pedal and control signal input 5. Brake pedal and control signal input 5 is connected to brake pedal and control signal input 6. Brake pedal and control signal input 6 is connected to brake chamber system.

[0036] S102. Based on the working logic of the air pump in the real braking system, the working process of the virtual braking system is simulated to obtain the target air pressure change in the virtual air tank of the virtual braking system.

[0037] The air pump's operating logic controls its operation based on the actual pressure value within the air reservoir. Specifically, if the real-time pressure value in the air pump is less than a first pressure value, the air pump operates; if the real-time pressure value is greater than a second pressure value, the air pump does not operate. The first and second pressure values ​​can be set according to actual conditions; for example, the first pressure value could be 0.7 MPa, and the second pressure value could be 1 MPa.

[0038] Among them, the change in target air pressure refers to the increase or decrease in target air pressure in the virtual air storage tank after the virtual braking system brakes.

[0039] Specifically, based on the working logic of the air pump in a real braking system, the working process of the virtual braking system is simulated. That is, based on the AMESim simulation platform, the virtual braking system simulates the working principle of the air pump in the real braking system of a pure electric vehicle, supplying air into a virtual air reservoir. The air pump's operation is controlled by changing the target air pressure within the virtual air reservoir. When the air pump is working, the target air pressure within the reservoir will rise or fall accordingly. At this time, the change curve of the target air pressure within the virtual air reservoir can be plotted on the AMESim simulation platform to obtain the target air pressure variation within the virtual air reservoir.

[0040] S103. Based on the changes in target air pressure, verify the component parameters of the actual braking system.

[0041] Here, component parameters refer to the relevant information marked on the components in the actual braking system. For example, a compressor might have parameters such as compressor displacement and compressor model.

[0042] Specifically, the target number of braking operations can be determined based on the target air pressure changes, and the component parameters in the actual braking system can be checked based on the target number of braking operations. For example, the target number of braking operations can be determined based on the number of times the target air pressure change curve decreases; based on the target number of braking operations, it can be determined whether the component parameters in the actual braking system are appropriate.

[0043] The technical solution of this invention first creates a virtual braking system based on the component connection relationships of the actual braking system of the target pure electric vehicle. Then, based on the working logic of the air pump in the actual braking system, the working process of the virtual braking system is simulated to obtain the target air pressure changes within the virtual air reservoir. Finally, based on these target air pressure changes, the component parameters in the actual braking system are checked. Compared to existing methods based on empirical estimation for selecting braking system components, this invention, through the simulation of the actual braking system and its working process of a pure electric vehicle, more closely resembles real-world operating conditions and improves the accuracy of component selection and matching in the actual braking system.

[0044] Based on the above embodiments, as an optional embodiment of the present invention, after creating a virtual braking system according to the component connection relationship of the real braking system of the target pure electric vehicle, the component parameters of the virtual braking system can also be configured according to the component parameters of the real braking system.

[0045] The component parameters refer to the configuration parameters of the components in the actual braking system, which may include at least one of the following: air reservoir pressure, air reservoir volume, compressor pump speed, and compressor displacement. Specifically, air reservoir pressure refers to the pressure of the gas inside the air reservoir; compressor pump speed refers to the number of revolutions the compressor pump makes around the center of a circle per unit time; and compressor displacement refers to the amount of gas continuously delivered by the compressor.

[0046] Specifically, the component parameters of the virtual braking system can be configured accordingly based on the component parameters of the real braking system.

[0047] The above technical solution ensures a one-to-one correspondence between the virtual braking system and the real braking system of the target pure electric vehicle, realizing the simulation of the real braking system and its working process of the pure electric vehicle.

[0048] Example 2

[0049] Figure 2A This is a flowchart of a braking system optimization method provided in Embodiment 2 of the present invention. Based on the above embodiments, this embodiment further optimizes the step of "simulating the working process of a virtual braking system according to the working logic of the air pump in a real braking system, and obtaining the target air pressure change in the virtual air reservoir of the virtual braking system," providing an optional implementation scheme. For example... Figure 2A As shown, the method includes:

[0050] S201. Create a virtual braking system based on the component connection relationships of the actual braking system of the target pure electric vehicle.

[0051] S202. Simulate the real external air input value and input the external air input value into the compressor air pump of the virtual braking system.

[0052] The external air input value refers to the simulated actual air input value of the compressor pump.

[0053] Specifically, the system simulates real external air input values ​​and inputs these values ​​into the compressor pump of the virtual braking system, thus simulating real operating conditions and inputting air into the compressor pump. After processing by the compressor pump, the processed air values ​​are input into the air storage tank of the virtual braking system, thus sending air into the air storage tank. The pressure sensor in the virtual braking system collects the air pressure value of the air storage tank.

[0054] S203. Based on the working logic of the air pump in the real braking system, the working process of the virtual braking system is simulated to obtain the target air pressure change in the virtual air tank of the virtual braking system.

[0055] Specifically, according to the operating logic of the compressor air pump in the actual braking system, if the pressure value in the compressor air pump is less than a first pressure value, the air pump operates; if the pressure value in the compressor air pump is greater than a second pressure value, the air pump does not operate. The first and second pressure values ​​can be set according to actual conditions; for example, the first pressure value could be 0.7 MPa, and the second pressure value could be 1 MPa.

[0056] S204. Based on the changes in target air pressure, verify the component parameters of the actual braking system.

[0057] The technical solution of this invention creates a virtual braking system based on the component connection relationships of the actual braking system of a target pure electric vehicle. Then, it simulates the actual external air input value and inputs this value into the compressor pump of the virtual braking system. Subsequently, based on the pump's operating logic in the actual braking system, it simulates the operation of the virtual braking system to obtain the target air pressure changes within the virtual air reservoir. Finally, based on these target air pressure changes, it verifies the component parameters of the actual braking system. This technical solution, by further simulating the external air input value of the actual braking system, further improves the accuracy of simulating the actual braking system and its operation process of a pure electric vehicle.

[0058] Based on the above embodiments, as an optional aspect of the present invention, the component parameters of the actual braking system are checked according to the target air pressure change. This can be achieved by: determining the virtual actual number of braking operations based on the target air pressure change; and checking the component parameters of the actual braking system based on the actual number of braking operations and the theoretical number of braking operations.

[0059] Here, "actual braking count" refers to the number of braking maneuvers a virtual target pure electric vehicle can achieve under actual operating conditions, as determined by the virtual braking system. For example, such as... Figure 2B As shown, when the target air pressure does not meet the braking conditions, i.e. Figure 2B Between the points where the target air pressure transitions from decreasing to gradually increasing, the number of virtual actual braking operations can be determined by counting the number of times the target air pressure decreases between these points. Each decrease in target air pressure between these points represents one braking operation by the virtual system. Figure 2B In the meantime, the target air pressure dropped a total of 12 times between that point, which means the virtual actual braking number was 12.

[0060] The theoretical number of braking cycles refers to the maximum number of braking cycles that the target pure electric vehicle can theoretically achieve. For example, it can be obtained through the following formula.

[0061]

[0062] Where n represents the number of consecutive braking cycles (the state where the air pump stops working), P1 represents the lowest absolute pressure of air in the air reservoir, P represents the highest absolute pressure of air in the air reservoir, and V s V represents the volume of the air chamber filled with air. g 1 represents the total volume of the gas supply pipeline, V g 2 represents the total volume of the control pipeline, V c This indicates the total volume of the gas storage tank.

[0063] Specifically, the actual number of braking actions can be compared with the theoretical number of braking actions. Based on the comparison results, it can be determined whether the component parameters in the actual braking system are accurate. For example, if the actual number of braking actions is greater than the theoretical number of braking actions, it indicates that the component parameters in the actual braking system are not compatible, which may be due to an insufficient air reservoir volume.

[0064] Understandably, by comparing the actual number of braking operations with the theoretical number of braking operations, the parameters of the components in the real braking system can be checked, and it can be verified whether the parameters of the components in the real braking system are appropriate.

[0065] Based on the above embodiments, as an optional embodiment of the present invention, after verifying the component parameters in the actual braking system according to the target air pressure change, the components in the actual braking system can also be adjusted according to the verification results.

[0066] Specifically, if the actual number of braking actions equals the theoretical number of braking actions in the verification results, it means that the model of the components selected for the actual braking system is appropriate and no adjustment of the components is required; if the actual number of braking actions is greater than or less than the theoretical number of braking actions, it means that the model of the components selected for the actual braking system is inappropriate and the model of the components needs to be adjusted, such as by changing the model of the components.

[0067] The above technical solution, after verifying the component parameters in the actual braking system based on the target air pressure change, adds adjustments to the components in the actual braking system based on the verification results, making the entire verification process more complete and providing specific solutions after verification. While simulating the actual working conditions of pure electric vehicles, it further improves the accuracy of component selection and matching in the actual braking system.

[0068] Example 3

[0069] Figure 3This is a schematic diagram of a braking system optimization device provided in Embodiment 3 of the present invention. This embodiment is applicable to optimizing the braking system of pure electric vehicles. The braking system optimization device can be implemented in hardware and / or software, and can be configured in an electronic device, such as a software simulation platform, like the AMESim simulation platform. Figure 3 As shown, the device includes:

[0070] The virtual braking system creation module 301 is used to create a virtual braking system based on the component connection relationship of the real braking system of the target pure electric vehicle.

[0071] The air pressure change acquisition module 302 is used to simulate the working process of the virtual braking system according to the working logic of the air pump of the real braking system, and obtain the target air pressure change in the virtual air tank of the virtual braking system.

[0072] The component parameter adjustment module 303 is used to verify the component parameters in the actual braking system according to the target air pressure change.

[0073] The technical solution of this invention creates a virtual braking system through a virtual braking system creation module, then obtains the target air pressure change in the virtual air tank of the virtual braking system through an air pressure change acquisition module, and then verifies the component parameters in the real braking system through a component parameter adjustment module. Compared with the existing empirical estimation method for selecting braking system components, this invention, by simulating the real braking system and its working process of a pure electric vehicle, is closer to real working conditions and improves the accuracy of component selection and matching in the real braking system.

[0074] Furthermore, the virtual braking system creation module 301 is specifically used for:

[0075] Based on a software simulation platform, a virtual braking system is created according to the component connection relationships of the real braking system of a pure electric vehicle.

[0076] Furthermore, the air pressure change acquisition module 302 is specifically used for:

[0077] Simulate real external air input values ​​and input them into the compressor pump of the virtual braking system; based on the working logic of the real braking system's pump, simulate the working process of the virtual braking system to obtain the target air pressure change in the virtual air tank of the virtual braking system.

[0078] Furthermore, the component parameter adjustment module 303 is specifically used for:

[0079] Based on the changes in target air pressure, determine the virtual actual number of braking operations; based on the actual number of braking operations and the theoretical number of braking operations, verify the component parameters of the real braking system.

[0080] Furthermore, the device also includes:

[0081] The component adjustment module is used to verify the component parameters in the actual braking system based on the target air pressure change, and then adjust the components in the actual braking system based on the verification results.

[0082] Furthermore, the device also includes:

[0083] The component parameter configuration module is used to configure the component parameters of the virtual braking system based on the component connection relationship of the real braking system of the target pure electric vehicle after creating the virtual braking system.

[0084] Furthermore, the component parameters include at least one of the following: gas reservoir pressure, gas reservoir volume, compressor pump speed, and compressor displacement.

[0085] The braking system optimization device provided in this embodiment of the invention can execute the braking system optimization method provided in any embodiment of the invention, and has the corresponding functional modules and beneficial effects of the method.

[0086] Example 4

[0087] Figure 4 A schematic diagram of an electronic device 400 that can be used to implement embodiments of the present invention is shown. The electronic device is intended to represent various forms of digital computers, such as laptop computers, desktop computers, workstations, personal digital assistants, servers, blade servers, mainframe computers, and other suitable computers. The electronic device can also represent various forms of mobile devices, such as personal digital processors, cellular phones, smartphones, wearable devices (e.g., helmets, glasses, watches, etc.), and other similar computing devices. The components shown herein, their connections and relationships, and their functions are merely illustrative and are not intended to limit the implementation of the invention described and / or claimed herein.

[0088] like Figure 4As shown, the electronic device 400 includes at least one processor 401 and a memory, such as a read-only memory (ROM) 402 and a random access memory (RAM) 403, communicatively connected to the at least one processor 401. The memory stores computer programs executable by the at least one processor. The processor 401 can perform various appropriate actions and processes based on the computer program stored in the ROM 402 or loaded into the RAM 403 from storage unit 408. The RAM 403 can also store various programs and data required for the operation of the electronic device 400. The processor 401, ROM 402, and RAM 403 are interconnected via a bus 404. An input / output (I / O) interface 405 is also connected to the bus 404.

[0089] Multiple components in electronic device 400 are connected to I / O interface 405, including: input unit 406, such as keyboard, mouse, etc.; output unit 407, such as various types of displays, speakers, etc.; storage unit 408, such as disk, optical disk, etc.; and communication unit 409, such as network card, modem, wireless transceiver, etc. Communication unit 409 allows electronic device 400 to exchange information / data with other devices through computer networks such as the Internet and / or various telecommunications networks.

[0090] Processor 401 can be a variety of general-purpose and / or special-purpose processing components with processing and computing capabilities. Some examples of processor 401 include, but are not limited to, a central processing unit (CPU), a graphics processing unit (GPU), various special-purpose artificial intelligence (AI) computing chips, various processors running machine learning model algorithms, a digital signal processor (DSP), and any suitable processor, controller, microcontroller, etc. Processor 401 performs the various methods and processes described above, such as braking system optimization methods.

[0091] In some embodiments, the braking system optimization method may be implemented as a computer program tangibly contained in a computer-readable storage medium, such as storage unit 408. In some embodiments, part or all of the computer program may be loaded and / or installed on electronic device 400 via ROM 402 and / or communication unit 409. When the computer program is loaded into RAM 403 and executed by processor 401, one or more steps of the braking system optimization method described above may be performed. Alternatively, in other embodiments, processor 401 may be configured to perform the braking system optimization method by any other suitable means (e.g., by means of firmware).

[0092] Various embodiments of the systems and techniques described above herein can be implemented in digital electronic circuit systems, integrated circuit systems, field-programmable gate arrays (FPGAs), application-specific integrated circuits (ASICs), application-specific standard products (ASSPs), systems-on-a-chip (SoCs), payload-programmable logic devices (CPLDs), computer hardware, firmware, software, and / or combinations thereof. These various embodiments may include implementations in one or more computer programs that can be executed and / or interpreted on a programmable system including at least one programmable processor, which may be a dedicated or general-purpose programmable processor, capable of receiving data and instructions from a storage system, at least one input device, and at least one output device, and transferring data and instructions to the storage system, the at least one input device, and the at least one output device.

[0093] Computer programs used to implement the methods of the present invention may be written in any combination of one or more programming languages. These computer programs may be provided to a processor of a general-purpose computer, a special-purpose computer, or other programmable data processing device, such that when executed by the processor, the computer programs cause the functions / operations specified in the flowcharts and / or block diagrams to be performed. The computer programs may be executed entirely on a machine, partially on a machine, or as a standalone software package, partially on a machine and partially on a remote machine, or entirely on a remote machine or server.

[0094] In the context of this invention, a computer-readable storage medium can be a tangible medium that may contain or store a computer program for use by or in conjunction with an instruction execution system, apparatus, or device. A computer-readable storage medium may include, but is not limited to, electronic, magnetic, optical, electromagnetic, infrared, or semiconductor systems, apparatus, or devices, or any suitable combination thereof. Alternatively, a computer-readable storage medium may be a machine-readable signal medium. More specific examples of machine-readable storage media include electrical connections based on one or more wires, portable computer disks, hard disks, random access memory (RAM), read-only memory (ROM), erasable programmable read-only memory (EPROM or flash memory), optical fibers, portable compact disk read-only memory (CD-ROM), optical storage devices, magnetic storage devices, or any suitable combination thereof.

[0095] To provide interaction with a user, the systems and techniques described herein can be implemented on an electronic device having: a display device (e.g., a CRT (cathode ray tube) or LCD (liquid crystal display) monitor) for displaying information to the user; and a keyboard and pointing device (e.g., a mouse or trackball) through which the user provides input to the electronic device. Other types of devices can also be used to provide interaction with the user; for example, feedback provided to the user can be any form of sensory feedback (e.g., visual feedback, auditory feedback, or tactile feedback); and input from the user can be received in any form (including sound input, voice input, or tactile input).

[0096] The systems and technologies described herein can be implemented in computing systems that include backend components (e.g., as data servers), or computing systems that include middleware components (e.g., application servers), or computing systems that include frontend components (e.g., user computers with graphical user interfaces or web browsers through which users can interact with implementations of the systems and technologies described herein), or any combination of such backend, middleware, or frontend components. The components of the system can be interconnected via digital data communication of any form or medium (e.g., communication networks). Examples of communication networks include local area networks (LANs), wide area networks (WANs), blockchain networks, and the Internet.

[0097] A computing system can include clients and servers. Clients and servers are generally located far apart and typically interact via communication networks. The client-server relationship is created by computer programs running on the respective computers and having a client-server relationship with each other. The server can be a cloud server, also known as a cloud computing server or cloud host, which is a hosting product within the cloud computing service system to address the shortcomings of traditional physical hosts and VPS services, such as high management difficulty and weak business scalability.

[0098] It should be understood that the various forms of processes shown above can be used, with steps reordered, added, or deleted. For example, the steps described in this invention can be executed in parallel, sequentially, or in different orders, as long as the desired result of the technical solution of this invention can be achieved, and this is not limited herein.

[0099] The specific embodiments described above do not constitute a limitation on the scope of protection of this invention. Those skilled in the art should understand that various modifications, combinations, sub-combinations, and substitutions can be made according to design requirements and other factors. Any modifications, equivalent substitutions, and improvements made within the spirit and principles of this invention should be included within the scope of protection of this invention.

Claims

1. A braking system optimization method, characterized in that, include: A virtual braking system is created based on the component connection relationships of the actual braking system of the target pure electric vehicle; Based on the working logic of the air pump in the real braking system, the working process of the virtual braking system is simulated to obtain the target air pressure change in the virtual air tank of the virtual braking system. Based on the target air pressure change, the component parameters of the actual braking system are checked; The step of simulating the operation of the virtual braking system based on the air pump working logic of the real braking system to obtain the target air pressure change in the virtual air tank of the virtual braking system includes: Simulate real external air input values ​​and input the external air input values ​​into the compressor air pump of the virtual braking system; Based on the working logic of the air pump in the real braking system, the working process of the virtual braking system is simulated to obtain the target air pressure change in the virtual air tank of the virtual braking system. The step of verifying the component parameters of the actual braking system based on the target air pressure change includes: Based on the changes in the target air pressure, determine the virtual actual number of braking operations; The component parameters of the actual braking system are verified based on the actual number of braking cycles and the theoretical number of braking cycles. The component parameters include at least one of the following: gas storage tank pressure, gas storage tank volume, compressor pump speed, and compressor displacement.

2. The method according to claim 1, characterized in that, The process of creating a virtual braking system based on the component connection relationships of the actual braking system of the target pure electric vehicle includes: Based on a software simulation platform, a virtual braking system is created according to the component connection relationships of the actual braking system of the target pure electric vehicle.

3. The method according to claim 1, characterized in that, After verifying the component parameters of the actual braking system based on the target air pressure change, the process further includes: Based on the verification results, the components in the actual braking system were adjusted.

4. The method according to claim 1, characterized in that, After creating the virtual braking system based on the component connection relationships of the actual braking system of the target pure electric vehicle, the method further includes: Configure the component parameters of the virtual braking system based on the component parameters of the real braking system.

5. A braking system optimization device, characterized in that, include: The virtual braking system creation module is used to create a virtual braking system based on the component connection relationships of the real braking system of the target pure electric vehicle. The air pressure change acquisition module is used to simulate the working process of the virtual braking system according to the working logic of the air pump of the real braking system, and obtain the target air pressure change in the virtual air tank of the virtual braking system. The component parameter adjustment module is used to check the component parameters in the actual braking system according to the target air pressure change. Specifically, the air pressure change acquisition module is used for: Simulate real external air input values ​​and input the external air input values ​​into the compressor air pump of the virtual braking system; Based on the working logic of the air pump in the real braking system, the working process of the virtual braking system is simulated to obtain the target air pressure change in the virtual air tank of the virtual braking system. The component parameter adjustment module is specifically used for: Based on the changes in the target air pressure, determine the virtual actual number of braking operations; The component parameters of the actual braking system are verified based on the actual number of braking cycles and the theoretical number of braking cycles. The component parameters include at least one of the following: gas cylinder pressure, gas cylinder volume, compressor pump speed, and compressor displacement.

6. An electronic device, characterized in that, The electronic device includes: At least one processor; and A memory communicatively connected to the at least one processor; wherein, The memory stores a computer program that can be executed by the at least one processor, the computer program being executed by the at least one processor to enable the at least one processor to perform the braking system optimization method according to any one of claims 1-4.

7. A computer-readable storage medium, characterized in that, The computer-readable storage medium stores computer instructions that cause a processor to execute the braking system optimization method according to any one of claims 1-4.

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