CN117610342A - Intelligent management analysis method, equipment and storage medium for cab comfort - Google Patents
Intelligent management analysis method, equipment and storage medium for cab comfort Download PDFInfo
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Abstract
The application discloses a cab comfort intelligent management analysis method, equipment and a storage medium, and belongs to the technical field of computer simulation design. The method comprises the following steps: obtaining geometric characteristics of a driving vehicle and a driver and passengers, and constructing a plurality of finite element models based on the geometric characteristics of the driving vehicle and the driver and passengers; the driving vehicle comprises a driving cab and an air conditioning box, wherein the air conditioning box comprises an air conditioning box evaporator, an air conditioning box fan, an air conditioning box APTC warm air core body and an air duct; integrating the finite element models into a plurality of three-dimensional fluid domain models, and setting boundary conditions of the three-dimensional fluid domain models; working condition parameters in the cab are calculated based on the three-dimensional fluid domain model and boundary conditions to calculate the temperature and wind speed of the cab. The comfort of drivers and passengers in the vehicle cab is improved through the method.
Description
Technical Field
The application relates to the technical field of computer simulation design, in particular to a cab comfort intelligent management analysis method, equipment and a storage medium.
Background
Cargo vehicles, commonly referred to as trucks or trucks, include dump trucks, haul trucks, off-road and off-road trucks in off-road areas, and various vehicles that are specially manufactured for particular needs. Refers to automobiles that are primarily used to transport cargo, and sometimes also refers to automobiles that may be towed by other vehicles, belonging to the class of commercial vehicles.
In the prior art, a driver who drives a cargo vehicle by a passenger needs to stay in the driver's cabin for a long time, and the driver's driving can be affected by a driver's cabin which is sultry in summer or cold in winter without opening an on-vehicle air conditioner or a ventilator. Under the condition that the vehicle-mounted air conditioner is started, the temperature and the wind speed of air blown into the cab by the vehicle-mounted air conditioner influence the comfort of drivers, and the comfort of the drivers influences the driving time and the driving experience of the drivers.
Therefore, how to improve the comfort of the driver in the vehicle cab is a problem to be solved.
Disclosure of Invention
The embodiment of the application provides a cabin comfort intelligent management analysis method, equipment and a storage medium, which are used for solving the following technical problems: how to improve the comfort of the occupants in the vehicle cab.
In a first aspect, an embodiment of the present application provides a method for intelligently managing and analyzing comfort of a cab, where the method includes: obtaining geometric characteristics of a driving vehicle and a driver and passengers, and constructing a plurality of finite element models based on the geometric characteristics of the driving vehicle and the driver and passengers; the driving vehicle comprises a driving cab and an air conditioning box, wherein the air conditioning box comprises an air conditioning box evaporator, an air conditioning box fan, an air conditioning box APTC warm air core body and an air duct; integrating the finite element models into a plurality of three-dimensional fluid domain models, and setting boundary conditions of the three-dimensional fluid domain models; working condition parameters in the cab are calculated based on the three-dimensional fluid domain model and boundary conditions to calculate the temperature and wind speed of the cab.
In one implementation of the present application, geometric features of a driving vehicle and a driver are obtained, and a plurality of finite element models are constructed based on the geometric features of the driving vehicle and the driver, including: constructing an interior surface finite element model based on a facing in a cab of the driving vehicle, a seat, and a basic structure of a driver; constructing a porous medium finite element model based on an air conditioning box evaporator, an air conditioning box APTC warm air core and an air duct of a driving vehicle; constructing an air conditioner fan finite element model based on an air conditioner fan of a driving vehicle; and acquiring the current direction of a heat exchange core body of the APTC warm air core body, and determining a heat flow finite element model of the APTC warm air core body of the air conditioning box according to the current direction of the heat exchange core body.
In one implementation of the present application, an interior surface finite element model is constructed based on a facing in a cabin of a driving vehicle, a seat, and a basic structure of an occupant, specifically including: constructing an air-conditioning grid model according to geometric characteristics of an air-conditioning inlet and an air-conditioning outlet and a pipeline of a driving vehicle; the air conditioner grid model mainly comprises geometric features of a heat exchange chip and a speed regulation module in the air conditioner box assembly; constructing an internal grid model according to the internal decoration geometric characteristics of the driving vehicle; constructing a personnel grid model according to the coordinates and geometric features of a driver in a cab; wherein the personnel mesh model includes geometric features of the head, arms, torso and feet of the occupant.
In one implementation of the present application, a porous medium finite element model is constructed based on an air conditioning case evaporator, an air conditioning case APTC warm air core and an air duct of a driving vehicle, and specifically includes: processing the wind speeds and wind resistances of a plurality of APTC warm air cores according to a preset quadratic polynomial algorithm to obtain quadratic polynomial coefficients; wherein, the APTC warm air core body comprises an inertia damping coefficient and a viscous damping coefficient in the windward direction; determining an inertial damping coefficient and a viscous damping coefficient according to the quadratic polynomial coefficient and the thickness of the APTC warm air core body; and constructing a porous medium finite element model according to the specification and the size of the evaporator of the air conditioning box, the specification and the size of the APTC warm air core, the inertia damping coefficient and the viscous damping coefficient.
In one implementation of the present application, an air conditioner box fan finite element model is built based on an air conditioner box fan of a driving vehicle, and specifically includes: constructing a multiple reference model according to the specification and the size of the fan of the air conditioner box, and setting a local coordinate system on the multiple reference model; the local coordinate system is used for determining the shaft point and the rotation direction of the rotation shaft of the air conditioner fan; determining a rotational speed of the multiple reference model based on an engine crankshaft speed and a fan ratio of an air conditioning case fan; determining an air conditioner box fan finite element model based on the multiple reference models and the rotational speeds of the multiple reference models; the finite element model of the air conditioner fan is one of multiple reference models.
In one implementation manner of the present application, integrating the plurality of finite element models into a plurality of three-dimensional fluid domain models, and setting boundary conditions of the three-dimensional fluid domain models specifically includes: determining a grid size of the plurality of finite element models according to the actual size of the driving vehicle to generate a plurality of three-dimensional fluid domain models; wherein the plurality of three-dimensional fluid domain models correspond to the plurality of finite element models; and determining boundary conditions of the three-dimensional fluid domain model according to the actual requirements of drivers and passengers and the actual size of the driving vehicle.
In one implementation of the present application, determining boundary conditions of the three-dimensional fluid domain model according to actual demands of drivers and passengers and actual dimensions of a driving vehicle specifically includes: setting interfaces of an air-conditioning box fan three-dimensional fluid domain model corresponding to the air-conditioning box fan finite element model and the rest three-dimensional fluid domain models in the plurality of three-dimensional fluid domain models; setting the fan speed of an air-conditioning box of a plurality of three-dimensional fluid domain models and the air outlet pressure of an air outlet hole in a cab; setting an air flow path of the driving vehicle according to an actual state of the driving vehicle; setting an inlet initial temperature of the three-dimensional fluid domain model; setting heat exchange between cold air and APTC; setting heat parameters of solar radiation, human body heat dissipation and garment thermal resistance.
In one implementation of the present application, working condition parameters in a cab are calculated based on a three-dimensional fluid domain model and boundary conditions to calculate a temperature and a wind speed of the cab, and specifically includes: initializing a three-dimensional fluid domain model; processing a plurality of three-dimensional fluid domain models and boundary conditions based on a preset steady-state analysis formula so as to simulate and calculate the temperature and the wind speed of a cab; wherein the steady state analysis formula includes a continuous equation formula, a momentum equation formula, and an energy equation formula.
In a second aspect, an embodiment of the present application further provides an intelligent management analysis device for cab comfort, where the device includes: at least one processor; and a memory communicatively coupled to the at least one processor; wherein the memory stores instructions executable by the at least one processor, the instructions being executable by the at least one processor to enable the at least one processor to: obtaining geometric characteristics of a driving vehicle and a driver and passengers, and constructing a plurality of finite element models based on the geometric characteristics of the driving vehicle and the driver and passengers; the driving vehicle comprises a driving cab and an air conditioning box, wherein the air conditioning box comprises an air conditioning box evaporator, an air conditioning box fan, an air conditioning box APTC warm air core body and an air duct; integrating the finite element models into a plurality of three-dimensional fluid domain models, and setting boundary conditions of the three-dimensional fluid domain models; working condition parameters in the cab are calculated based on the three-dimensional fluid domain model and boundary conditions to calculate the temperature and wind speed of the cab.
In a third aspect, embodiments of the present application further provide a non-volatile computer storage medium storing computer executable instructions for intelligent management analysis of cab comfort, wherein the computer executable instructions are configured to: obtaining geometric characteristics of a driving vehicle and a driver and passengers, and constructing a plurality of finite element models based on the geometric characteristics of the driving vehicle and the driver and passengers; the driving vehicle comprises a driving cab and an air conditioning box, wherein the air conditioning box comprises an air conditioning box evaporator, an air conditioning box fan, an air conditioning box APTC warm air core body and an air duct; integrating the finite element models into a plurality of three-dimensional fluid domain models, and setting boundary conditions of the three-dimensional fluid domain models; working condition parameters in the cab are calculated based on the three-dimensional fluid domain model and boundary conditions to calculate the temperature and wind speed of the cab.
According to the intelligent management analysis method, the intelligent management analysis equipment and the storage medium for the comfort of the cab, the structure characteristics of the driving vehicle and the characteristics of drivers and passengers are obtained to construct a plurality of finite element models, the internal structure of the vehicle is simulated through the plurality of finite element models, the grid size is determined to obtain a plurality of three-dimensional fluid domain models, the flowing state of air-conditioning gas in the driving vehicle is calculated through the three-dimensional fluid domain models, the calculation accuracy of the temperature and the wind speed in the cab is improved, the plurality of three-dimensional fluid domain models are calculated through setting boundary conditions and steady-state analysis formulas, the temperature and the wind speed in the cab are obtained, and therefore the comfort of the drivers and passengers in the cab is improved.
Drawings
The accompanying drawings, which are included to provide a further understanding of the application and are incorporated in and constitute a part of this application, illustrate embodiments of the application and together with the description serve to explain the application and do not constitute an undue limitation to the application. In the drawings:
fig. 1 is a flowchart of a method for intelligently managing and analyzing comfort of a cab according to an embodiment of the present application;
fig. 2 is a schematic diagram of an internal structure of a cab comfort intelligent management analysis device according to an embodiment of the present application.
Detailed Description
For the purposes, technical solutions and advantages of the present application, the technical solutions of the present application will be clearly and completely described below with reference to specific embodiments of the present application and corresponding drawings. It will be apparent that the described embodiments are only some, but not all, of the embodiments of the present application. All other embodiments, which can be made by one of ordinary skill in the art without undue burden from the present disclosure, are within the scope of the present disclosure.
The embodiment of the application provides a cabin comfort intelligent management analysis method, equipment and a storage medium, which are used for solving the following technical problems: how to improve the comfort of the occupants in the vehicle cab.
The following describes in detail the technical solution proposed in the embodiments of the present application through the accompanying drawings.
Fig. 1 is a flow chart of intelligent management analysis of cab comfort provided in an embodiment of the present application. As shown in fig. 1, the intelligent management analysis method for cab comfort provided in the embodiment of the application specifically includes the following steps:
and step 1, acquiring geometric characteristics of a driving vehicle and a driver and constructing a plurality of finite element models based on the geometric characteristics of the driving vehicle and the driver.
In this embodiment, an electric light truck is taken as an example, and the method can also be applied to other types of automobiles, which are vehicles that need to be driven for a long time. The comfort of the vehicle driver in the vehicle is critical and thus it is necessary to determine the temperature and wind speed of the air conditioner in the cab according to the actual condition of the vehicle and the vehicle occupant.
Occupants include vehicle drivers and vehicle occupants. The finite element model is a model established when a finite element analysis method is applied, and is a group of unit assemblies which are connected at nodes only, transmit force only by the nodes and are constrained at the nodes only.
Firstly, the geometric characteristics of a vehicle to be driven and the geometric characteristics of a driver and passengers are required to be acquired, the vehicle to be driven comprises a cab and an air conditioning box, and a plurality of finite element models are constructed according to the geometric characteristics of the vehicle to be driven and the geometric characteristics of the driver and passengers which are required to be acquired firstly. The air conditioning box comprises an air conditioning box evaporator, an air conditioning box fan, an air conditioning box APTC (air conditioning valve) warm air core body and an air duct, and the plurality of finite element models comprise an inner surface finite element model, an air conditioning box evaporator, the air conditioning box APTC warm air core body and the air duct finite element model, and the air conditioning box fan finite element model and the air conditioning box APTC warm air core body heat flow finite element model.
Step 11, constructing an inner surface finite element model based on the facing in the cab of the driving vehicle, the basic structure of the seat and the driver.
The interior surface finite element model is a model of the surface of various objects and people within the cab of the vehicle.
And 111, constructing an air-conditioning grid model according to the geometric characteristics of the air-conditioning inlet and outlet and the pipeline of the driving vehicle.
The air conditioner grid model mainly comprises geometric features of an air conditioner air inlet, an air conditioner air outlet, an air conditioner pipeline, a heat exchange core body in an air conditioner box assembly and a speed regulation module of a driving vehicle, wherein the geometric features of the heat exchange core body in the air conditioner box assembly and the speed regulation module are reserved in an emphasized mode.
In the interior of the vehicle cab, the area and the shape of an air outlet of the air conditioner influence the power of cold air and warm air of the air conditioner to a certain extent. By constructing the air conditioner grid model, the air flow state in air conditioner management can be accurately simulated to a certain extent, and the simulation calculation accuracy of the temperature and the wind speed in the cab is improved.
Step 112, constructing an internal grid model according to the interior geometric features of the driving vehicle.
There are various kinds of interior trim inside a driving vehicle. The trim is set according to the preference of the driver. For example, there are cases where a driver places a statue in a light truck, places decorations such as aromatherapy, and hangs accessories under a rearview mirror in a vehicle.
In the embodiment of the application, a model building system is provided, and the model building system can be set by a driver according to actual conditions after purchasing a vehicle.
In a specific example, a preliminary grid model of the driving vehicle is generated on a display screen in the vehicle or mobile equipment such as a mobile phone, and the preliminary grid model of the driving vehicle is a grid model in a cab when the vehicle leaves the factory. And if the vehicle owner needs to add or delete the configuration, adding a corresponding interior trim at a corresponding position in the cab through the model building system. For example, if the vehicle owner a purchases a decoration taking the golden toad as a model and needs to be placed at the front end of the vehicle, the vehicle owner a selects a model similar to the golden toad to be placed at the front end of the vehicle through a decoration page in the model construction system so as to generate an internal grid model.
In another specific example, when the vehicle leaves the factory, the vehicle seat is provided with a seat cover produced by a manufacturer, the seat cover produced by the manufacturer is replaced by a subsequent vehicle owner by the vehicle owner, and the vehicle owner can select the specification and the material of the seat cover produced by the manufacturer through the model building system, for example, the specification is the same as the specification of the seat cover produced by the manufacturer, and the material is cowhide.
And 113, constructing a personnel grid model according to the coordinates and geometric features of the driver in the cab.
The personnel mesh model includes geometric features of the head, arms, torso, and feet of the occupant.
The body data of the driver and the position of the driver in the cab will affect the accuracy of the simulation calculations of the temperature and wind speed in the cab.
The step has high requirements on equipment, and can input own data according to a mobile phone operating system corresponding to the vehicle, namely, an app of a mobile phone end, and scan own characteristics through the app of the mobile phone end so as to generate a model of a driver, namely, the geometric characteristics of the driver in a cab.
The corresponding seat is selected in the vehicle cab and the corresponding person, i.e. the coordinates of the driver in the cab, is placed.
By constructing the personnel grid model, the gas flow state near the driver can be simulated, so that the calculation accuracy of the gas flow state in the cab is improved to a certain extent.
And 12, constructing a porous medium finite element model based on an air conditioning box evaporator, an air conditioning box APTC warm air core and an air duct of the driving vehicle.
The porous medium finite element model is a finite element model corresponding to a vehicle cooling and heating system, and the finite element model can simulate the air conditioning refrigerating and heating details of a driving vehicle.
And step 121, processing the wind speeds and wind resistances of the APTC warm air cores according to a preset quadratic polynomial algorithm to obtain quadratic polynomial coefficients.
The secondary polynomial formula is the prior art, and the wind speed and the wind resistance of a plurality of APTC warm air cores are substituted into the secondary polynomial formula, so that the secondary polynomial coefficients can be obtained, and the description is omitted here.
And 122, determining an inertial damping coefficient and a viscous damping coefficient according to the quadratic polynomial coefficient and the thickness of the APTC warm air core.
The viscous drag coefficient and the inertia drag coefficient are two important characteristic parameters with limited porous media, and the inertia damping coefficient and the viscous damping coefficient are determined according to the coefficient of the binary polynomial and the thickness of the air conditioning case APTC warm air core body by substituting the average wind speed value and the corresponding average wind resistance value of air in the air conditioning case evaporator, the air conditioning case APTC warm air core body and the air duct into the quadratic polynomial when the vehicle actually runs.
And 123, constructing a porous medium finite element model according to the specification and the size of the evaporator of the air conditioning box, the specification and the size of the APTC hot air core, the inertia damping coefficient and the viscous damping coefficient.
According to the specification and the size of the evaporator of the air conditioner, the specification and the size of the APTC warm air core body can determine the three-dimensional model of the evaporator of the air conditioner and the APTC warm air core body of the air conditioner, and the specific condition of the air conditioner in use can be defined to a certain extent by substituting the inertial damping coefficient and the viscous damping coefficient.
And 13, constructing an air conditioner fan finite element model based on the air conditioner fan of the driving vehicle.
The air-conditioning box fan finite element model is a three-dimensional model of an air-conditioning fan in a pure electric light truck, and the operation of the air-conditioning box fan directly influences the temperature and the gas flow in a cab.
Step 131, constructing a multiple reference model according to the specification and the size of the fan of the air conditioner box, and setting a local coordinate system on the multiple reference model; the local coordinate system is used to determine the axis point and the direction of rotation of the axis of rotation of the air conditioning box fan.
The multi-reference model is a simpler and more convenient method in the multi-region calculation method, different rotation speeds or translation speeds can be assumed in different regions, and the transient problem is approximately regarded as a steady-state problem to be solved. If the region is stationary, the equation is converted to a stationary system form. At the interface of the computational domains, flow variables in one region are flux calculated and transformed to neighboring regions using a local reference frame.
The construction of multiple reference models is known in the art and will not be described in detail herein.
Step 132, determining a rotational speed of the multiple reference model based on an engine crankshaft speed and a fan ratio of the air conditioner fan.
The rotation of the air conditioning box fan directly affects the performance of the vehicle-mounted air conditioner, and then the rotation speed of the fan, namely the rotation speed of the multiple reference model, is determined according to the rotation speed of the engine crankshaft of the air conditioning box fan and the fan rotation ratio, and the calculation formula is the prior art and is not described herein.
Step 133, determining an air conditioner box fan finite element model based on the multiple reference models and the rotational speeds of the multiple reference models.
After the multiple reference element model and the rotation speed of the multiple reference model are determined, the model of the air conditioner fan in actual operation can be obtained, and it is noted that the air conditioner fan finite element model is one of the multiple reference models.
And 14, acquiring the current direction of a heat exchange core body of the APTC warm air core body, and determining a heat flow finite element model of the APTC warm air core body of the air conditioner box according to the current direction of the heat exchange core body.
The heat flow finite element model of the APTC warm air core body of the air conditioning box is a finite element model corresponding to the state of the air conditioning box during operation, the heat production performance during actual operation can be determined through the current direction of the heat exchange core body, and the specific steps are that a function of time and heat is set based on Joule's law, and the heat flow finite element model of the APTC warm air core body of the air conditioning box is determined according to the function.
And 2, integrating the finite element models into a plurality of three-dimensional fluid domain models, and setting boundary conditions of the three-dimensional fluid domain models.
As can be seen from step 1, a plurality of finite element models are obtained through the actual vehicle construction and the surface features of the driver and the passengers, but the plurality of finite element models are independently operated and the mesh sizes among the plurality of finite element models are not unified, so that the mesh sizes among the plurality of finite element models are unified, and the plurality of finite element models are combined according to the actual test conditions to obtain a plurality of three-dimensional fluid domain models.
Simulating the comfort of a cab of a vehicle in actual running through a plurality of three-dimensional fluid domain models requires various parameters of the vehicle in an actual running state, wherein the parameters are boundary conditions.
Boundary conditions include: setting interfaces of an air-conditioning box fan three-dimensional fluid domain model corresponding to the air-conditioning box fan finite element model and the rest three-dimensional fluid domain models in the plurality of three-dimensional fluid domain models; setting the fan speed of an air-conditioning box of a plurality of three-dimensional fluid domain models and the air outlet pressure of an air outlet hole in a cab; setting an air flow path of the driving vehicle according to an actual state of the driving vehicle; setting an inlet initial temperature of the three-dimensional fluid domain model; setting heat exchange between cold air and APTC; setting heat parameters of solar radiation, human body heat dissipation and garment thermal resistance.
And 3, calculating working condition parameters in the cab based on the three-dimensional fluid domain model and the boundary conditions so as to calculate the temperature and the wind speed of the cab.
After the three-dimensional fluid domain model and boundary conditions are determined, the temperature and wind speed of the cab can be determined.
In a specific example, a three-dimensional fluid domain model is initialized first, and then a plurality of three-dimensional fluid domain models and boundary conditions are processed based on a preset steady-state analysis formula so as to simulate and calculate the temperature and wind speed of a cab. Wherein the steady state analysis formula includes a continuous equation formula, a momentum equation formula, and an energy equation formula. It should be noted that, the equation of continuous equation, the equation of momentum equation and the equation of energy equation are all in the prior art, and each boundary condition in the three-dimensional fluid domain model is brought into the above equation, so that the temperature and wind speed of the cab can be calculated through simulation.
The foregoing is a method embodiment presented herein. Based on the same inventive concept, the embodiment of the application also provides intelligent management analysis equipment for cab comfort, and the structure of the intelligent management analysis equipment is shown in fig. 2.
Fig. 2 is a schematic diagram of an internal structure of a cab comfort intelligent management analysis device according to an embodiment of the present application. As shown in fig. 2, the apparatus includes:
at least one processor 201;
and a memory 202 communicatively coupled to the at least one processor;
wherein the memory 202 stores instructions executable by the at least one processor, the instructions being executable by the at least one processor 201 to enable the at least one processor 201 to:
obtaining geometric characteristics of a driving vehicle and a driver and passengers, and constructing a plurality of finite element models based on the geometric characteristics of the driving vehicle and the driver and passengers; the driving vehicle comprises a driving cab and an air conditioning box, wherein the air conditioning box comprises an air conditioning box evaporator, an air conditioning box fan, an air conditioning box APTC warm air core body and an air duct; integrating the finite element models into a plurality of three-dimensional fluid domain models, and setting boundary conditions of the three-dimensional fluid domain models; working condition parameters in the cab are calculated based on the three-dimensional fluid domain model and boundary conditions to calculate the temperature and wind speed of the cab.
Some embodiments of the present application provide a non-volatile computer storage medium corresponding to one of the cabin comfort intelligent management analyses of fig. 1, storing computer-executable instructions configured to: obtaining geometric characteristics of a driving vehicle and a driver and passengers, and constructing a plurality of finite element models based on the geometric characteristics of the driving vehicle and the driver and passengers; the driving vehicle comprises a driving cab and an air conditioning box, wherein the air conditioning box comprises an air conditioning box evaporator, an air conditioning box fan, an air conditioning box APTC warm air core body and an air duct; integrating the finite element models into a plurality of three-dimensional fluid domain models, and setting boundary conditions of the three-dimensional fluid domain models; working condition parameters in the cab are calculated based on the three-dimensional fluid domain model and boundary conditions to calculate the temperature and wind speed of the cab.
All embodiments in the application are described in a progressive manner, and identical and similar parts of all embodiments are mutually referred, so that each embodiment mainly describes differences from other embodiments. In particular, for the internet of things device and the medium embodiment, since they are substantially similar to the method embodiment, the description is relatively simple, and the relevant points are referred to in the description of the method embodiment.
The systems and media and the methods provided in the embodiments of the present application are in one-to-one correspondence, so that the systems and media also have similar beneficial technical effects to the corresponding methods, and since the beneficial technical effects of the methods have been described in detail above, the beneficial technical effects of the systems and media are not described here again.
It will be appreciated by those skilled in the art that embodiments of the present application may be provided as a method, system, or computer program product. Accordingly, the present application may take the form of an entirely hardware embodiment, an entirely software embodiment or an embodiment combining software and hardware aspects. Furthermore, the present application may take the form of a computer program product embodied on one or more computer-usable storage media (including, but not limited to, disk storage, CD-ROM, optical storage, and the like) having computer-usable program code embodied therein.
The present application is described with reference to flowchart illustrations and/or block diagrams of methods, apparatus (systems) and computer program products according to embodiments of the application. It will be understood that each flowchart and/or block of the flowchart illustrations and/or block diagrams, and combinations of flowcharts and/or block diagrams, can be implemented by computer program instructions. These computer program instructions may be provided to a processor of a general purpose computer, special purpose computer, embedded processor, or other programmable data processing apparatus to produce a machine, such that the instructions, which execute via the processor of the computer or other programmable data processing apparatus, create means for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be stored in a computer-readable memory that can direct a computer or other programmable data processing apparatus to function in a particular manner, such that the instructions stored in the computer-readable memory produce an article of manufacture including instruction means which implement the function specified in the flowchart flow or flows and/or block diagram block or blocks.
These computer program instructions may also be loaded onto a computer or other programmable data processing apparatus to cause a series of operational steps to be performed on the computer or other programmable apparatus to produce a computer implemented process such that the instructions which execute on the computer or other programmable apparatus provide steps for implementing the functions specified in the flowchart flow or flows and/or block diagram block or blocks.
In one typical configuration, a computing device includes one or more processors (CPUs), input/output interfaces, network interfaces, and memory.
The memory may include volatile memory in a computer-readable medium, random Access Memory (RAM) and/or nonvolatile memory, such as Read Only Memory (ROM) or flash memory (flash RAM). Memory is an example of computer-readable media.
Computer readable media, including both non-transitory and non-transitory, removable and non-removable media, may implement information storage by any method or technology. The information may be computer readable instructions, data structures, modules of a program, or other data. Examples of storage media for a computer include, but are not limited to, phase change memory (PRAM), static Random Access Memory (SRAM), dynamic Random Access Memory (DRAM), other types of Random Access Memory (RAM), read Only Memory (ROM), electrically Erasable Programmable Read Only Memory (EEPROM), flash memory or other memory technology, compact disc read only memory (CD-ROM), digital Versatile Discs (DVD) or other optical storage, magnetic cassettes, magnetic tape disk storage or other magnetic storage devices, or any other non-transmission medium, which can be used to store information that can be accessed by a computing device. Computer-readable media, as defined herein, does not include transitory computer-readable media (transmission media), such as modulated data signals and carrier waves.
It should also be noted that the terms "comprises," "comprising," or any other variation thereof, are intended to cover a non-exclusive inclusion, such that a process, method, article, or apparatus that comprises a list of elements does not include only those elements but may include other elements not expressly listed or inherent to such process, method, article, or apparatus. Without further limitation, an element defined by the phrase "comprising one … …" does not exclude the presence of other like elements in a process, method, article or apparatus that comprises an element.
The foregoing is merely exemplary of the present application and is not intended to limit the present application. Various modifications and changes may be made to the present application by those skilled in the art. Any modifications, equivalent substitutions, improvements, etc. that fall within the spirit and principles of the present application are intended to be included within the scope of the claims of the present application.
Claims (10)
1. An intelligent management analysis method for cab comfort, which is characterized by comprising the following steps:
obtaining geometric characteristics of a driving vehicle and a driver and passengers, and constructing a plurality of finite element models based on the geometric characteristics of the driving vehicle and the driver and passengers; the driving vehicle comprises a cab and an air conditioning box, wherein the air conditioning box comprises an air conditioning box evaporator, an air conditioning box fan, an air conditioning box APTC warm air core body and an air duct;
integrating the finite element models into a plurality of three-dimensional fluid domain models, and setting boundary conditions of the three-dimensional fluid domain models;
working condition parameters in the cab are calculated based on the three-dimensional fluid domain model and boundary conditions to calculate the temperature and wind speed of the cab.
2. The intelligent management and analysis method for cab comfort according to claim 2, wherein the geometric features of the driving vehicle and the driver are obtained, and a plurality of finite element models are constructed based on the geometric features of the driving vehicle and the driver, specifically comprising:
constructing an interior surface finite element model based on the facing in the cab of the driving vehicle, the seating, and the occupant's basic structure;
constructing a porous medium finite element model based on the air conditioning box evaporator, the air conditioning box APTC warm air core and the air duct of the driving vehicle;
constructing an air conditioning box fan finite element model based on the air conditioning box fan of the driving vehicle;
and acquiring the current direction of a heat exchange core body of the APTC warm air core body, and determining a heat flow finite element model of the APTC warm air core body of the air conditioning box according to the current direction of the heat exchange core body.
3. The cabin comfort intelligent management analysis method according to claim 2, characterized by constructing an interior surface finite element model based on the basic structure of the cabin interior, seat and occupant of the driving vehicle, specifically comprising:
constructing an air-conditioning grid model according to the geometric characteristics of the air-conditioning inlet and outlet and the pipeline of the driving vehicle; the air conditioner grid model mainly comprises geometric features of a heat exchange chip and a speed regulation module in an air conditioner box assembly;
constructing an internal grid model according to the interior geometric features of the driving vehicle;
constructing a personnel grid model according to the coordinates and geometric features of the driver in the cab; wherein the personnel mesh model includes geometric features of the head, arms, torso and feet of the occupant.
4. The intelligent management analysis method for cab comfort according to claim 2, wherein a porous medium finite element model is constructed based on an air conditioning box evaporator, an air conditioning box APTC warm air core and an air duct of the driving vehicle, and specifically comprises:
processing the wind speeds and wind resistances of a plurality of APTC warm air cores according to a preset quadratic polynomial algorithm to obtain quadratic polynomial coefficients;
determining an inertial damping coefficient and a viscous damping coefficient according to the quadratic polynomial coefficient and the thickness of the APTC warm air core;
and constructing a porous medium finite element model according to the specification and the size of the air conditioning box evaporator, the specification and the size of the APTC warm air core body, the inertia damping coefficient and the viscous damping coefficient.
5. The intelligent management analysis method for cab comfort according to claim 2, wherein the building of the air conditioning box fan finite element model based on the air conditioning box fan of the driving vehicle specifically comprises:
constructing a multiple reference model according to the specification and the size of the air conditioner fan, and setting a local coordinate system on the multiple reference model; the local coordinate system is used for determining the axial point and the rotation direction of the rotation shaft of the air conditioner fan;
determining a rotational speed of the multiple reference model based on an engine crankshaft speed and a fan rotation ratio of the air conditioning case fan;
determining an air conditioner box fan finite element model based on the multiple reference models and rotational speeds of the multiple reference models; the finite element model of the air conditioner fan is one of multiple reference models.
6. The intelligent management analysis method for cab comfort according to claim 1, wherein integrating the plurality of finite element models into a plurality of three-dimensional fluid domain models and setting boundary conditions of the three-dimensional fluid domain models specifically comprises:
determining mesh sizes of the plurality of finite element models according to the actual size of the driving vehicle to generate a plurality of three-dimensional fluid domain models; wherein the plurality of three-dimensional fluid domain models correspond to a plurality of finite element models;
and determining boundary conditions of the three-dimensional fluid domain model according to the actual requirements of the driver and the actual size of the driving vehicle.
7. The intelligent management analysis method for cab comfort according to claim 6, wherein the boundary condition of the three-dimensional fluid domain model is determined according to the actual requirements of the driver and the actual size of the driving vehicle, and specifically comprises:
setting interfaces of an air-conditioning box fan three-dimensional fluid domain model corresponding to the air-conditioning box fan finite element model and the rest three-dimensional fluid domain models in the plurality of three-dimensional fluid domain models;
setting the fan speeds of the air-conditioning boxes of the three-dimensional fluid domain models and the air outlet pressure of the air outlet holes in the cab;
setting an air circulation path of the driving vehicle according to the actual state of the driving vehicle;
setting an inlet initial temperature of the three-dimensional fluid domain model;
setting heat exchange between cold air and APTC;
setting heat parameters of solar radiation, human body heat dissipation and garment thermal resistance.
8. The intelligent management analysis method for cab comfort according to claim 1, wherein working condition parameters in the cab are calculated based on the three-dimensional fluid domain model and boundary conditions to calculate the temperature and wind speed of the cab, specifically comprising:
initializing the three-dimensional fluid domain model;
processing the plurality of three-dimensional fluid domain models and the boundary conditions based on a preset steady-state analysis formula to simulate and calculate the temperature and wind speed of the cab; wherein the steady state analysis formula includes a continuous equation formula, a momentum equation formula, and an energy equation formula.
9. An intelligent management analysis device for cab comfort, the device comprising:
at least one processor;
and a memory communicatively coupled to the at least one processor;
wherein the memory stores instructions executable by the at least one processor to enable the at least one processor to:
obtaining geometric characteristics of a driving vehicle and a driver and passengers, and constructing a plurality of finite element models based on the geometric characteristics of the driving vehicle and the driver and passengers; the driving vehicle comprises a cab and an air conditioning box, wherein the air conditioning box comprises an air conditioning box evaporator, an air conditioning box fan, an air conditioning box APTC warm air core body and an air duct;
integrating the finite element models into a plurality of three-dimensional fluid domain models, and setting boundary conditions of the three-dimensional fluid domain models;
working condition parameters in the cab are calculated based on the three-dimensional fluid domain model and boundary conditions to calculate the temperature and wind speed of the cab.
10. A non-volatile computer storage medium storing computer executable instructions for intelligent management analysis of cab comfort, the computer executable instructions configured to:
obtaining geometric characteristics of a driving vehicle and a driver and passengers, and constructing a plurality of finite element models based on the geometric characteristics of the driving vehicle and the driver and passengers; the driving vehicle comprises a cab and an air conditioning box, wherein the air conditioning box comprises an air conditioning box evaporator, an air conditioning box fan, an air conditioning box APTC warm air core body and an air duct;
integrating the finite element models into a plurality of three-dimensional fluid domain models, and setting boundary conditions of the three-dimensional fluid domain models;
working condition parameters in the cab are calculated based on the three-dimensional fluid domain model and boundary conditions to calculate the temperature and wind speed of the cab.
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