CN114967572A - New energy vehicle simulation operation platform based on Internet of things communication and control method - Google Patents
New energy vehicle simulation operation platform based on Internet of things communication and control method Download PDFInfo
- Publication number
- CN114967572A CN114967572A CN202210903449.3A CN202210903449A CN114967572A CN 114967572 A CN114967572 A CN 114967572A CN 202210903449 A CN202210903449 A CN 202210903449A CN 114967572 A CN114967572 A CN 114967572A
- Authority
- CN
- China
- Prior art keywords
- vehicle
- scene
- simulation
- internet
- data
- Prior art date
- Legal status (The legal status is an assumption and is not a legal conclusion. Google has not performed a legal analysis and makes no representation as to the accuracy of the status listed.)
- Pending
Links
Images
Classifications
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B19/00—Programme-control systems
- G05B19/02—Programme-control systems electric
- G05B19/04—Programme control other than numerical control, i.e. in sequence controllers or logic controllers
- G05B19/042—Programme control other than numerical control, i.e. in sequence controllers or logic controllers using digital processors
- G05B19/0423—Input/output
-
- G—PHYSICS
- G05—CONTROLLING; REGULATING
- G05B—CONTROL OR REGULATING SYSTEMS IN GENERAL; FUNCTIONAL ELEMENTS OF SUCH SYSTEMS; MONITORING OR TESTING ARRANGEMENTS FOR SUCH SYSTEMS OR ELEMENTS
- G05B2219/00—Program-control systems
- G05B2219/20—Pc systems
- G05B2219/24—Pc safety
- G05B2219/24215—Scada supervisory control and data acquisition
-
- Y—GENERAL TAGGING OF NEW TECHNOLOGICAL DEVELOPMENTS; GENERAL TAGGING OF CROSS-SECTIONAL TECHNOLOGIES SPANNING OVER SEVERAL SECTIONS OF THE IPC; TECHNICAL SUBJECTS COVERED BY FORMER USPC CROSS-REFERENCE ART COLLECTIONS [XRACs] AND DIGESTS
- Y02—TECHNOLOGIES OR APPLICATIONS FOR MITIGATION OR ADAPTATION AGAINST CLIMATE CHANGE
- Y02T—CLIMATE CHANGE MITIGATION TECHNOLOGIES RELATED TO TRANSPORTATION
- Y02T90/00—Enabling technologies or technologies with a potential or indirect contribution to GHG emissions mitigation
- Y02T90/10—Technologies relating to charging of electric vehicles
- Y02T90/16—Information or communication technologies improving the operation of electric vehicles
Landscapes
- Physics & Mathematics (AREA)
- General Physics & Mathematics (AREA)
- Engineering & Computer Science (AREA)
- Automation & Control Theory (AREA)
- Electric Propulsion And Braking For Vehicles (AREA)
Abstract
The invention provides a new energy vehicle simulation operation platform based on Internet of things communication and a control method. The driving simulation system is configured on mobile terminals such as a PC (personal computer) and the like, a simulated operation picture of a vehicle is displayed, a user sets an experience scene through the driving simulation system, based on the experience scene, the scene simulation auxiliary system is controlled to simulate information such as road condition fluctuation and road surface resistance, meanwhile, vehicle operation state data and battery state data are periodically acquired through the whole vehicle control system, the vehicle operation state data and the battery state data are displayed through a vehicle-mounted instrument, and a vehicle charging control process is simulated based on the battery state data, the whole platform realizes full-scene simulation display of the operation control process of the new energy vehicle, so that students can visually know the operation condition of the new energy vehicle, and practical and teaching requirements are met.
Description
Technical Field
The invention relates to the technical field of communication of the Internet of things, in particular to a new energy vehicle simulation operation platform and a control method based on communication of the Internet of things.
Background
With the continuous application of new energy in the automobile industry, new energy buses are also increasingly put into the market, and for the continuous progress of new energy vehicle technology, various research and development institutions continue to explore and innovate, higher universities and colleges also advance with the progress, and courses related to the new energy are introduced.
At present, students acquire new energy vehicle technologies, and mostly realize teaching practice through teaching materials and fixed time. The principle of the theory of emphasis learned on the teaching material lacks the show to the real object, and the teaching practice process time is short, with high costs, is difficult to satisfy student's requirement of practising and studying.
Disclosure of Invention
The invention provides a new energy vehicle simulation operation platform based on Internet of things communication and a control method, which are used for solving the problem that the teaching of the existing new energy vehicle is difficult to meet the requirements of students on practice and learning.
In order to realize the purpose, the invention adopts the following technical scheme:
the invention provides a new energy vehicle simulation operation platform based on Internet of things communication, which comprises an Internet of things communication system, wherein the Internet of things communication system is respectively connected with a driving simulation system, a whole vehicle control system, a scene simulation auxiliary system and a battery management system;
the driving simulation system responds to an experience scene selected by a user, communicates with the Internet of things communication system, acquires vehicle running state data through a finished vehicle control system, and acquires battery state data through a battery management system; controlling a scene simulation auxiliary system to simulate road conditions based on the acquired data and the current experience scene; the driving simulation system simultaneously displays the simulation scene on a screen;
the Internet of things communication system receives the data message of the driving simulation system, converts and analyzes the format of the data message and sends the data message to one or more lower computer systems in a whole vehicle control system, a scene simulation auxiliary system or a battery management system; and the data message returned by the lower computer system is sent to the driving simulation system after format conversion;
the whole vehicle control system comprises a plurality of signal acquisition circuits, a vehicle monitoring circuit and a vehicle monitoring circuit, wherein the signal acquisition circuits are used for acquiring vehicle running state data and sending the vehicle running state data to the Internet of things communication system;
the scene simulation auxiliary system comprises an auxiliary motor and an auxiliary controller, and the auxiliary controller is used for controlling the rotating torque of the auxiliary motor based on the instruction of the driving simulation system and the current experience scene;
the battery management system is also connected with the whole vehicle control system and sends the running information of the battery management system to the whole vehicle control system; the battery management system is also used for acquiring the information of each single battery in the battery box and controlling the input and the output of the battery system.
Further, the driving simulation system comprises a driving scene simulation plate, a data center plate, an internet of things communication plate and an operation parameter configuration plate;
the operation parameter configuration plate is used for providing the selection of a preset scene and the configuration of a user-defined scene for a user and acquiring the scene information selected or configured by the user;
the Internet of things communication plate is used for acquiring and analyzing message information of a finished automobile control system and a battery management system, and storing data to the data center plate;
the data center plate is used for storing running state data and road condition data of vehicles;
the driving scene simulation plate is used for acquiring the running state data, displaying the running state data through a vehicle-mounted instrument, and acquiring the road condition data and sending a scene simulation instruction to a scene simulation auxiliary system; and the system is also used for calling scene data and a 3D engine to simulate scene pictures on the screen.
Further, the communication system of the internet of things comprises an RS485 interface, a CAN interface, a wireless module interface and a network interface, wherein the CAN interface is respectively connected with the battery management system, the whole vehicle control system and the scene simulation auxiliary system, and is a downlink interface; the driving simulation system is used as a communication interface through any one of an RS485 interface, a wireless module interface or a network interface;
the Internet of things communication system converts a data message received by a downlink interface from a modbustcp format into a J1939 format and then transmits the data message; and converting the data message received by the uplink interface from the J1939 format into a modbustcp format and uploading the data message to a driving simulation system.
Furthermore, the whole vehicle control system comprises a controller and a signal acquisition circuit connected with the controller;
the signal acquisition circuit acquires a simulated running state signal of the vehicle and sends the simulated running state signal to the controller, and the signal acquisition circuit comprises an electronic throttle acquisition circuit, a gear switch signal acquisition circuit, a total voltage acquisition circuit, a total current acquisition circuit, a key switch signal acquisition circuit and a fan power supply control circuit;
the controller controls the movement of the vehicle main motor based on the simulated running state signal.
Further, the electronic accelerator acquisition circuit acquires an accelerator pedal signal and sends the accelerator pedal signal to the optical coupling isolating switch, after the optical coupling isolating switch is switched on, the controller reads a measured value of the electronic accelerator and calculates an actual value of the electronic accelerator based on a preset formula;
the gear switch signal acquisition circuit acquires conduction signals of different gears and sends the conduction signals to corresponding optical coupling isolating switches, and after the time delay of a preset time period, the corresponding optical coupling isolating switches are still conducted, so that the corresponding gears are effective;
the key switch signal acquisition circuit acquires three-level switch signals of a key, each level of switch signals is connected with the optocoupler switch, the optocoupler switch sends corresponding switch signals to the controller, and the controller controls corresponding vehicle simulation operation elements to be electrified or controlled to enter a vehicle simulation operation state based on the switch signals.
Furthermore, the total voltage acquisition circuit comprises a voltage division circuit, an isolation circuit and an amplification circuit which are connected in sequence, wherein the voltage division circuit acquires a voltage signal of the battery pack and sends the voltage signal to the controller after passing through the isolation circuit and the amplification circuit;
the total current acquisition circuit comprises a current transformer, a sampling circuit and a protection circuit which are connected in sequence, wherein the current transformer is connected to an ANA12 interface to obtain a current signal, and the current signal is sent to the controller through the sampling circuit and the protection circuit.
Furthermore, the battery management system is connected with a charging pile and controls the charging pile to charge the battery; the battery management system is also connected with a battery box acquisition unit to acquire the information of the battery monomer.
The invention provides a new energy vehicle simulation operation control method based on internet of things communication, which comprises the following steps:
responding to a vehicle simulation running experience scene selected by a user, and acquiring running state data and battery state data of a vehicle through Internet of things communication;
and simulating the current road condition information of the vehicle operation based on the experience scene, and displaying the simulated operation scene of the vehicle through a screen based on the operation state data and the battery state data.
Further, the information on the current road condition of the simulated vehicle during operation specifically includes:
acquiring road condition data corresponding to the experience scene, wherein the road condition data comprises the position of a vehicle in the scene, the ground height of each wheel of the vehicle and the ground friction force;
and controlling the thrust of the servo electric pushing cylinder to simulate the undulation of a road according to the road condition data, and controlling the torque of the motor to simulate the ground friction.
Further, the running state data comprises an electronic gear, an electronic throttle, an electronic brake, a total battery voltage and a total discharge current; and the running state data is respectively acquired through corresponding hardware circuits.
The effect provided in the summary of the invention is only the effect of the embodiment, not all the effects of the invention, and one of the above technical solutions has the following advantages or beneficial effects:
1. according to the invention, through Internet of things communication and hardware circuit design, a driving simulation system, a whole vehicle control system, a scene simulation auxiliary system and a battery management system are respectively arranged, the driving simulation system is configured on a mobile terminal such as a PC (personal computer) and the like and displays a simulated operation picture of a vehicle, a user sets an experience scene through the driving simulation system, based on the experience scene, the scene simulation auxiliary system is controlled to simulate road condition fluctuation, road surface resistance and other information, meanwhile, vehicle operation state data and battery state data are periodically acquired through the whole vehicle control system and are displayed through a vehicle-mounted instrument, and a vehicle charging control process is simulated based on the battery state data, so that the whole platform realizes full scene simulation display of the operation control process of the new energy vehicle, students can conveniently and visually know the operation situation of the new energy vehicle, and the practical and teaching requirements are met.
2. The scene simulation auxiliary system obtains road condition data from the driving simulation system, simulates road fluctuation by controlling the thrust of the servo electric pushing cylinder, simulates bottom surface resistance and bottom surface assistant by controlling the motor moment, realizes real-time simulation of the road condition data, displays the simulated scene through the driving simulation system, is convenient for students to perform true scene experience, and achieves better learning effect.
3. The vehicle control system collects vehicle running state data, the vehicle running state data comprises a plurality of types, each type of data is collected through a hardware circuit, the circuit structure is simple and easy to design, and the cost is low.
Drawings
In order to more clearly illustrate the embodiments or technical solutions in the prior art of the present invention, the drawings used in the description of the embodiments or prior art will be briefly described below, and it is obvious for those skilled in the art that other drawings can be obtained based on these drawings without creative efforts.
FIG. 1 is a schematic structural diagram of a new energy vehicle simulation operation platform according to the invention;
FIG. 2 is a schematic diagram of a driving simulation system according to the present invention;
fig. 3 is a schematic view of a mechanical structure of a scene simulation assistance system according to the present invention for road condition simulation;
fig. 4 is a schematic structural diagram of a communication system of the internet of things according to the invention;
FIG. 5 is a schematic structural diagram of a vehicle control system according to the present invention;
FIG. 6 is a schematic structural diagram of an electronic throttle acquisition circuit in the vehicle control system of the present invention;
FIG. 7 is a schematic structural diagram of a gear switch signal acquisition circuit in the vehicle control system according to the present invention;
FIG. 8 is a schematic diagram of a first part of a total voltage acquisition circuit in the vehicle control system according to the present invention;
FIG. 9 is a schematic diagram of a second portion of the total voltage collecting circuit in the vehicle control system according to the present invention;
FIG. 10 is a schematic structural diagram of a total current collecting circuit in the vehicle control system according to the present invention;
FIG. 11 is a schematic structural diagram of a key switch signal acquisition circuit in the vehicle control system according to the present invention;
FIG. 12 is a schematic diagram of a fan power control circuit in the vehicle control system according to the present invention;
FIG. 13 is a schematic structural diagram of a scene simulation assistance system according to the present invention;
fig. 14 is a flow chart of the control method of the present invention.
Detailed Description
In order to clearly explain the technical features of the present invention, the following detailed description of the present invention is provided with reference to the accompanying drawings. The following disclosure provides many different embodiments, or examples, for implementing different features of the invention. To simplify the disclosure of the present invention, the components and arrangements of specific examples are described below. Furthermore, the present invention may repeat reference numerals and/or letters in the various examples. This repetition is for the purpose of simplicity and clarity and does not in itself dictate a relationship between the various embodiments and/or configurations discussed. It should be noted that the components illustrated in the figures are not necessarily drawn to scale. Descriptions of well-known components and processing techniques and procedures are omitted so as to not unnecessarily limit the invention.
As shown in fig. 1, the new energy vehicle simulation operation platform based on internet of things communication provided by the embodiment of the invention comprises an internet of things communication system 1, wherein the internet of things communication system 1 is respectively connected with a driving simulation system 2, a whole vehicle control system 4, a scene simulation auxiliary system 3 and a battery management system 5;
the driving simulation system 2 is deployed on terminal equipment such as a PC server and the like, responds to an experience scene selected by a user, communicates with the Internet of things communication system 1, acquires vehicle running state data through a vehicle control system 4, and acquires battery state data through a battery management system 5; based on the acquired data and the current experience scene, controlling the scene simulation auxiliary system 3 to simulate road conditions; the driving simulation system 2 simultaneously carries out screen display on the simulation scene;
the communication system 1 of the internet of things is composed of a communication terminal of the internet of things and embedded software of communication of the internet of things, and is connected to a PC server through a USB-to-CAN interface, a USB-to-RS 485 interface, a network interface, a 4G wireless interface, a wifi interface, a Bluetooth interface or other wireless transmission interfaces. The internet of things communication system 1 receives the data message of the driving simulation system 2, performs format conversion and analysis on the data message, and sends the data message to one or more lower computer systems in the whole vehicle control system 4, the scene simulation auxiliary system 3 or the battery management system 5; and the format conversion is carried out on the data message returned by the lower computer system and then the data message is sent to the driving simulation system 2;
the whole vehicle control system 4 comprises a controller and whole vehicle control embedded software, the CAN bus is connected with the Internet of things communication system 2, and the whole vehicle control system 4 comprises a plurality of signal acquisition circuits for acquiring vehicle running state data and sending the data to the Internet of things communication system 1;
the scene simulation auxiliary system 3 comprises an auxiliary motor, an auxiliary controller and embedded simulation auxiliary software, is connected with the Internet of things communication system 1 through a CAN bus, and controls the rotating torque of the auxiliary motor through the auxiliary controller based on the instruction of the driving simulation system 2 and the current experience scene;
the battery management system 5 is further connected with the whole vehicle control system 4, the battery management system 5 comprises a battery acquisition terminal and battery management embedded software, and the battery management embedded software is connected with the internet of things communication system 1 in a CAN bus communication mode. The battery management system 5 sends the running information of the battery management system to the whole vehicle control system; and the battery box is also used for acquiring the information of each single battery in the battery box and controlling the input and the output of the battery system.
As shown in fig. 2, the driving simulation system 2 includes a driving scene simulation board, a data center board, an internet of things communication board, and an operation parameter configuration board, and the driving scene simulation board further includes a vehicle-mounted instrument module, a data analysis module, a 3D scene module, and a 3D engine module.
The operation parameter configuration plate is used for providing the selection of a preset scene and the configuration of a user-defined scene for a user and acquiring the scene information selected or configured by the user; the Internet of things communication plate is used for acquiring and analyzing message information of a finished automobile control system and a battery management system, and storing data to the data center plate; the data center plate is used for storing running state data and road condition data of vehicles; the driving scene simulation plate is used for acquiring the running state data, displaying the running state data through a vehicle-mounted instrument, and acquiring the road condition data and sending a scene simulation instruction to a scene simulation auxiliary system; and the system is also used for calling scene data and a 3D engine to simulate scene pictures on the screen.
The operation process of the driving simulation system 2 is specifically as follows: before the scene experience starts, a user selects a self-contained scene or a newly-built scene of the system at an operation parameter configuration plate as the experience scene, and the system starts to operate after clicking the experience starting button. The communication system follows modbusTcp protocol, the communication board of the internet of things periodically sends register data reading instructions for 200ms to acquire data of the whole vehicle control system 4 and the battery management system 5, the whole vehicle control system 4 and the battery management system 5 reply corresponding data (vehicle running state, total voltage, total current, SOC, gear, accelerator opening, brake state, vehicle speed, motor speed, single-time travel mileage, accumulated travel mileage, remaining mileage and the like) after receiving the instructions, the communication board of the internet of things receives messages and analyzes the data according to protocol format, and the analyzed data is stored in the data center board and used for data display of the vehicle-mounted instrument module. After receiving the uploaded data, the driving simulation system 2 analyzes the protocol and stores the analyzed data into a data center plate to complete 1 communication process;
the vehicle-mounted instrument module calls corresponding data (vehicle running state, total voltage, total current, SOC, gear, accelerator opening, brake state, vehicle speed, motor rotating speed, single-time travel mileage, accumulated travel mileage and remaining mileage) of the data center plate to display on an instrument interface to realize the function of the vehicle-mounted instrument; the data analysis module accesses a road condition scene model stored in the data center plate through an API (application program interface) interface, acquires road condition data (vehicle position coordinates, vehicle right front wheel ground height, vehicle right rear wheel ground height, vehicle left front wheel ground height, vehicle left rear wheel ground height, ground resistance, ground power assistance and the like in a scene) in real time, on one hand, controls a scene simulation auxiliary system by sending a control instruction, controls thrust auxiliary equipment of left and right servo electric propulsion cylinders 31 shown in figure 3 to simulate road undulation respectively, and controls motor torque to simulate ground resistance and ground power assistance; on the other hand, the 3D scene module simulates scene pictures on a screen by calling scene data (landscape, roads and vehicles) and the 3D engine module; this loops until the scene experience ends.
As shown in fig. 4, the communication system 1 of the internet of things uses a 32-bit monolithic computer STM32F413VHT6 as a core processor, the interfaces include an RS485 interface, a CAN interface, a wireless module interface and a network interface, the CAN interfaces are respectively connected to the battery management system 5, the vehicle control system 4 and the scene simulation auxiliary system 3, and the CAN interface is a downlink interface; the driving simulation system is used as a communication interface through any one of an RS485 interface, a wireless module interface or a network interface.
The Internet of things communication system 1 realizes modbustcp and J1939 protocol conversion technology, an RS485 interface/wireless module interface/Internet network interface is used for data uplink, a CAN interface is used for data downlink, a J1939 protocol format is used for uplink data, the uplink data are sent by a lower computer (a whole vehicle control system, a scene simulation auxiliary system and a battery management system), and the downlink data are sent by a driving simulation system by using the modbustcp format. The communication process is as follows, the driving simulation system sends a data message in a modbustcp format, and after receiving the message, the downlink interface of the internet of things communication system converts the message into a J1939 format and sends the message to a lower computer; the lower computer uploads the data message in a J1939 format, and after the uplink interface of the Internet of things communication system receives the message, the data format is converted into a modbustcp format and uploaded to the driving simulation system.
For example: sending a command for reading the total voltage and the total current, wherein the format is as follows:
and (3) Modbus protocol: the device IP address + port number + device address + function code (0x 03) + register address (0x 2001) + byte number of data read (0x 0008) + CRC16 check.
The Internet of things communication system receives the command, converts the modbus format into the J1939 protocol format and sends the J1939 protocol format to the whole vehicle control system:
the extended ID (0x 061112F 5) + the function code (0x 03) + the number of bytes of data read (0x 08).
The vehicle control system returns a data message:
extended ID (0x 061112F 5) +8 bytes of data (1-4 bytes total voltage, 5-8 bytes total current).
The communication system of the Internet of things converts the J1939 protocol format into a modbus protocol to upload: the system IP address + port number + device address + function code (0x 03) + register address (0x 2001) + data byte number read (0x 0008) +8 byte data (1-4 byte total voltage, 5-8 byte total current) + CRC16 check.
As shown in fig. 5, the vehicle control system 4 includes a controller and a signal acquisition circuit connected to the controller; the signal acquisition circuit acquires a simulated running state signal of the vehicle and sends the simulated running state signal to the controller, and the signal acquisition circuit comprises an electronic throttle acquisition circuit, a gear switch signal acquisition circuit, a total voltage acquisition circuit, a total current acquisition circuit, a key switch signal acquisition circuit and a fan power supply control circuit; the controller controls the motion of the main motor of the vehicle based on the simulated running state signal for the simulation of the running state of the vehicle. The whole vehicle control system uses a 32-bit singlechip STM32F413VHT6 as a core processor, an ADC module of the singlechip is connected with an external signal acquisition circuit to acquire signals such as an electronic gear, an electronic accelerator, an electronic brake, total battery voltage and total discharge current, and an actual measurement value is calculated by the following formula;
voltage measurement = partial pressure ratio ×(s) ((s))Vref×ADC)/4096)(1)
Actual measurement = voltage measurement × scaling factor (2)
In the formula (I), the compound is shown in the specification,Vrefis a reference voltage to be used as a reference voltage,ADCrepresenting the acquired values of the ADC block.
A signal of a starting switch is collected by a method of adding an optical coupling isolation circuit to a digital input interface of the singlechip; the method of adding triode driving circuit to digital output interface of single chip controls the intermediate relay to achieve the purpose of controlling the refrigeration fan.
As shown in fig. 6, the electronic accelerator acquisition circuit acquires an accelerator pedal signal and sends the accelerator pedal signal to the optical coupling isolating switch, and after the optical coupling isolating switch is turned on, the controller reads a measured value of the electronic accelerator and calculates an actual value of the electronic accelerator based on preset formulas (1) and (2). When an accelerator pedal is stepped ON, IVS3 ON (an analog accelerator switch) has low level input, an optical coupler EL357C with the bit number being U2 is conducted, an IVS3 interface connected with the controller single chip microcomputer detects a low level signal, the single chip microcomputer starts ADC acquisition of an analog port connected with SP and IVS2 to obtain an acquisition value of an ADC module, wherein the SP and IVS2 simulate different accelerator opening values.
As shown in fig. 7, the gear switch signal acquisition circuit acquires conduction signals of different gears and sends the conduction signals to corresponding opto-isolator switches, and after the time delay of a preset time period, the corresponding opto-isolator switches are still conducted, so that the corresponding gears are effective. In the figure, when a low-level signal is input into an input end FWD/RESET/REV, a corresponding optical coupler EL375C is conducted, a signal pin of a controller singlechip FWD/RESET/REV detects a low level, corresponding IO is read again through delaying operation for 200ms, the IO state is still kept in a low-level state at the moment, a gear is effective, and a program executes corresponding actions; when the forward speed is not 0, the reverse gear operation is prohibited; when the reverse speed is not 0, the forward operation is prohibited. FWD, RESET, REV, among others, simulate forward, neutral, and reverse gears, respectively. For example, in fig. 7, the FWD whose left input end simulates forward has a low-level signal input, the corresponding optocoupler U19 is turned on, the output end (4 pins) of the optocoupler U19 outputs a signal to the single chip, and the single chip recognizes the analog forward signal. In addition, in the figure, the input end and the output end of the same optocoupler represented by U19A and U19B form an optocoupler U19, the optocoupler U20 and U21 have the same principle, and the type of the optocoupler can be EL 357C.
As shown in fig. 8 and 9, a wide voltage range of 0-1000V is formed between the interface HV and HV _ GND of the total voltage acquisition circuit, the voltage acquisition circuit comprises a voltage division circuit, an isolation circuit and an amplification circuit which are connected in sequence, and the voltage division circuit acquires voltage signals of the battery pack and sends the voltage signals to the controller after passing through the isolation circuit and the amplification circuit. The voltage dividing circuit is a circuit formed by resistors R169, R166, R167, R168, R171, R172, R173, R175, R176, R177, R180, R185 and R109, the isolation circuit is a small insulated amplifier PC1 with the model of ACPL-782T, the amplification circuit comprises an amplifier IC3A (LM 324), the amplified and output signal enters a single chip microcomputer ADC module to obtain an acquisition value, and the actual voltage value is calculated based on the formulas (1) and (2). The output 6 of the PC1 in the isolation circuit is connected with a resistor R178, and the pin 7 is connected with a resistor R181.
In fig. 8 and 9, the resistances of the resistors R169, R166, R167, R168, R171, R172, R173, R175, R176, R177, R180, and R185 are all 68k Ω, and the resistance of the resistor R109 is 150 Ω. In addition, the value of the resistor R186 is 1k Ω, the value of the resistor R186 is 0 Ω, and the values of the resistors R178, R181, R174, R179 and R184 are 10k Ω, 30k Ω, 1k Ω and 30k Ω respectively; the capacitance values of the capacitors C111, C112, C113 and C114 are 0.1uF, 0.1uF and 10uF respectively, and the capacitance values of the capacitors C116, C117, C115, C173, C119, C120 and C118 are all 0.1 uF.
As shown in fig. 10, the total current collecting circuit includes a current transformer, a sampling circuit, and a protection circuit, which are connected in sequence, the current transformer is connected to an ANA12 interface to obtain a current signal, the current signal is protected by a diode D23 (model is MMBD4148 SE) to be connected to a single chip ADC module to obtain a collected value through a sampling circuit (resistors R72 and R73 are connected in series to sample current and divide voltage by R74), an actual voltage value is calculated according to the above formula, and the actual voltage value is converted into an actual current value and sent to the controller through the protection circuit. Actual current value = 200.0 ((reference voltage transformer off voltage) -actual value of voltage)/mutual transformer ratio).
As shown in fig. 11, the key switch signal acquisition circuit acquires three levels of key switch signals, each level of key switch signals is connected with the optical coupling switch, the optical coupling switch sends corresponding switch signals to the controller, and the controller controls the corresponding vehicle simulation operation elements to be powered on or to enter a vehicle simulation operation state based on the switch signals. The input of the three-level switch is START/acc/on, a corresponding optical coupler EL375C is switched on when a high level signal is input into a corresponding interface, a single chip microcomputer START pin detects the high level, and a low-voltage power supply is switched on to supply power to external devices such as a current transformer, an accelerator pedal and a motor controller; when the single chip microcomputer ACC pin detects a high level, a main power supply pre-charging relay is turned on to supply power to the motor; and when the ON pin of the singlechip detects a high level, the main power supply main relay is turned ON to start to enter a working state. The optical couplers U22A and U22B represent input ends and output ends of the same optical coupler, the optical couplers U23A and U23B represent input ends and output ends of the same optical coupler, the optical couplers U24A and U24B represent input ends and output ends of the same optical coupler, and the optical couplers can be selected from EL 357C.
As shown in fig. 12, when it is detected that the temperature in the controller cabin is higher than 55 ℃, the fan is started to cool the cabin, the control principle is that the pin SP _ enable of the single chip microcomputer outputs a high level, the triode S8050 is turned on, the SP _ ena interface outputs a low level, the fan switch is turned on, and the fan starts to operate.
The whole vehicle control system is provided with 3 CAN interfaces, communicates with a main motor controller through a first CAN interface, sends an instruction, receives the running state of a main motor, controls the main motor and acquires motor data; the second CAN interface is communicated with the battery management system, battery related information and a sending instruction message sent by the battery management system are received in real time, and a battery condition is monitored to execute a safety strategy; and the third CAN interface is connected with the communication system of the Internet of things, and is used for uploading vehicle information and receiving instructions of the driving simulation system.
As shown in fig. 13, the main device of the scene simulation assistance system 3 is a scene simulation assistance controller, and a 32-bit single chip microcomputer STM32F107C8T6 is used as a core processor; the controller is communicated with an auxiliary controller through a CAN1 interface, sends an instruction and receives the running state of an auxiliary motor, controls the auxiliary motor and acquires the data of the auxiliary motor; the CAN2 interface is connected with the communication system of the Internet of things and receives the instruction of the driving simulation system 2.
The control process is that the driving simulation system 2 accesses a road condition scene model of a data center plate through an API (application program interface) interface, reads real-time road condition data (road condition information is imported into the data center plate in a 3D modeling mode), and according to the road condition information demonstrated in real time, the system issues control command contents including auxiliary motor rotation torque (a torque calculation method is used for obtaining road surface gradient alpha, friction coefficient is mu, torque conversion coefficient is k, resistance or assistance force F1= G sin alpha and friction force F2= mu G cos alpha generated by the gravity G of the vehicle, uphill torque = -k (F1+ F2) = -kG (sin alpha + mu cos alpha), downhill torque = k (F1-F2) = kG (sin alpha-mu cos alpha)) (note: downhill is positive torque, uphill torque is negative torque, flat road duration torque is 0), torque duration is continuous torque, and uphill torque is continuous, A brake switch signal and the like, the scene simulation auxiliary controller receives the control command, analyzes the command content and executes the command content to complete an auxiliary control process, and the effect auxiliary function of acceleration and deceleration on ascending and descending is achieved; and the process is circulated until the scene is finished.
The battery management system 5 uses a 32-bit monolithic machine STM32F413VHT6 as a core processor.
The battery management system 5 is connected with the charging pile and controls the charging pile to charge the battery; the battery management system 5 is also connected with a battery box acquisition unit for acquiring battery monomer information (monomer voltage and monomer temperature); the battery real-time data comprises the total SOC of the battery, the maximum monomer voltage, the minimum monomer voltage, the maximum monomer temperature, the minimum monomer temperature, alarm information and the like; the battery management system 5 also controls the charging and discharging direct current contactor through controlling the switching value output interface, and controls the input and output of the high voltage of the battery system.
The battery box acquisition unit uses a 32-bit singlechip STM32F107C8T6 as a core processor; the controller is connected with a battery management system through a CAN interface, and the ADC analog quantity acquisition interface of the processor acquires the monomer voltage and the monomer temperature.
The charging pile controller is connected with the insulation detector through an RS485 interface, the insulation condition of a charging loop is detected in a charging handshake stage, and the charging process is not allowed to be started in an insulation fault state; the CAN interface is connected with the battery management system, interacts with charging process data of the battery management system, and controls the output of the charging module by controlling the direct current contactor; the charging connecting device has a temperature acquisition function, and the phenomenon that the connecting device is overheated due to overlarge current in the charging process is prevented.
The charging controller uses a 32-bit singlechip STM32F107C8T6 as a core processor; measuring the charging output voltage, the charging current, the charging connection state and the temperature of the charging connection device through an ADC analog acquisition interface; the battery management system is connected through a CAN communication interface; controlling the output of the charging module by controlling the direct current contactor; an RS485 interface is connected with an insulation detector, the insulation detection function in the charge handshake stage is realized according to the requirement of GBT27930, and charging is prohibited due to abnormal insulation; the charging process reads the battery information in real time, the charging is stopped to finish the charging process when the set conditions are met, the charging is stopped when the abnormal conditions occur, and the charging process is recovered or the charging is manually stopped after the abnormal conditions are eliminated.
As shown in fig. 14, an embodiment of the present invention further provides a new energy vehicle simulation operation control method based on internet of things communication, including the following steps:
s1, responding to the experience scene of vehicle simulation operation selected by the user, and acquiring the operation state data and the battery state data of the vehicle through Internet of things communication;
and S2, based on the experience scene, simulating the current road condition information of the vehicle operation, and based on the operation state data and the battery state data, displaying the simulated operation scene of the vehicle through a screen.
The current road condition information of the simulated vehicle operation is specifically as follows: acquiring road condition data corresponding to the experience scene, wherein the road condition data comprises the position of a vehicle in the scene, the ground height of each wheel of the vehicle and the ground friction force; and controlling the thrust of the servo electric pushing cylinder to simulate the undulation of a road according to the road condition data, and controlling the torque of the motor to simulate the ground friction.
The running state data comprises an electronic gear, an electronic accelerator, an electronic brake, total battery voltage and total discharging current; and the running state data is respectively acquired through corresponding hardware circuits.
Although the embodiments of the present invention have been described with reference to the accompanying drawings, it is not intended to limit the scope of the present invention, and it should be understood by those skilled in the art that various modifications and variations can be made without inventive efforts by those skilled in the art based on the technical solution of the present invention.
Claims (10)
1. A new energy vehicle simulation operation platform based on Internet of things communication is characterized by comprising an Internet of things communication system, wherein the Internet of things communication system is respectively connected with a driving simulation system, a whole vehicle control system, a scene simulation auxiliary system and a battery management system;
the driving simulation system responds to an experience scene selected by a user, communicates with the Internet of things communication system, acquires vehicle running state data through a finished vehicle control system, and acquires battery state data through a battery management system; controlling a scene simulation auxiliary system to simulate road conditions based on the acquired data and the current experience scene; the driving simulation system simultaneously displays the simulation scene on a screen;
the Internet of things communication system receives the data message of the driving simulation system, converts and analyzes the format of the data message and sends the data message to one or more lower computer systems in a whole vehicle control system, a scene simulation auxiliary system or a battery management system; and the data message returned by the lower computer system is sent to the driving simulation system after format conversion;
the whole vehicle control system comprises a plurality of signal acquisition circuits, a vehicle monitoring circuit and a vehicle monitoring circuit, wherein the signal acquisition circuits are used for acquiring vehicle running state data and sending the vehicle running state data to the Internet of things communication system;
the scene simulation auxiliary system comprises an auxiliary motor and an auxiliary controller, and the auxiliary controller is used for controlling the rotating torque of the auxiliary motor based on the instruction of the driving simulation system and the current experience scene;
the battery management system is also connected with the whole vehicle control system and sends the running information of the battery management system to the whole vehicle control system; the battery management system is also used for acquiring the information of each single battery in the battery box and controlling the input and the output of the battery system.
2. The new energy vehicle simulation operation platform based on internet of things communication as claimed in claim 1, wherein the driving simulation system comprises a driving scene simulation board, a data center board, an internet of things communication board and an operation parameter configuration board;
the operation parameter configuration plate is used for providing the selection of a preset scene and the configuration of a user-defined scene for a user and acquiring the scene information selected or configured by the user;
the Internet of things communication plate is used for acquiring and analyzing message information of a finished automobile control system and a battery management system, and storing data to the data center plate;
the data center plate is used for storing running state data and road condition data of vehicles;
the driving scene simulation plate is used for acquiring the running state data, displaying the running state data through a vehicle-mounted instrument, and acquiring the road condition data and sending a scene simulation instruction to a scene simulation auxiliary system; and the system is also used for calling scene data and a 3D engine to simulate scene pictures on the screen.
3. The new energy vehicle simulation operation platform based on the communication of the internet of things according to claim 1, wherein the communication system of the internet of things comprises an RS485 interface, a CAN interface, a wireless module interface and a network interface, the CAN interface is respectively connected with a battery management system, a whole vehicle control system and a scene simulation auxiliary system, and the CAN interface is a downlink interface; the driving simulation system is used as a communication interface through any one of an RS485 interface, a wireless module interface or a network interface;
the Internet of things communication system converts a data message received by a downlink interface from a modbustcp format into a J1939 format and issues the data message; and converting the data message received by the uplink interface from the J1939 format into a modbustcp format and uploading the data message to a driving simulation system.
4. The new energy vehicle simulation operation platform based on the communication of the internet of things according to claim 1, wherein the whole vehicle control system comprises a controller and a signal acquisition circuit connected with the controller;
the signal acquisition circuit acquires a simulated running state signal of the vehicle and sends the simulated running state signal to the controller, and the signal acquisition circuit comprises an electronic throttle acquisition circuit, a gear switch signal acquisition circuit, a total voltage acquisition circuit, a total current acquisition circuit, a key switch signal acquisition circuit and a fan power supply control circuit;
the controller controls the movement of the vehicle main motor based on the simulated running state signal.
5. The new energy vehicle simulated operation platform based on internet of things communication as claimed in claim 4, wherein the electronic throttle acquisition circuit acquires a throttle pedal signal and sends the throttle pedal signal to the optical coupling isolating switch, and after the optical coupling isolating switch is turned on, the controller reads a measured value of the electronic throttle and calculates an actual value of the electronic throttle based on a preset formula;
the gear switch signal acquisition circuit acquires conduction signals of different gears and sends the conduction signals to corresponding optical coupling isolating switches, and after the time delay of a preset time period, the corresponding optical coupling isolating switches are still conducted, so that the corresponding gears are effective;
the key switch signal acquisition circuit acquires three-level switch signals of a key, each level of switch signals is connected with the optical coupling switch, the optical coupling switch sends corresponding switch signals to the controller, and the controller controls the corresponding vehicle simulation operation elements to be electrified or to enter a vehicle simulation operation state based on the switch signals.
6. The new energy vehicle simulation operation platform based on the communication of the internet of things according to claim 4, wherein the total voltage acquisition circuit comprises a voltage division circuit, an isolation circuit and an amplification circuit which are sequentially connected, wherein the voltage division circuit acquires a voltage signal of the battery pack and sends the voltage signal to the controller after passing through the isolation circuit and the amplification circuit;
the total current acquisition circuit comprises a current transformer, a sampling circuit and a protection circuit which are connected in sequence, wherein the current transformer is connected to an ANA12 interface to obtain a current signal, and the current signal is sent to the controller through the sampling circuit and the protection circuit.
7. The new energy vehicle simulation operation platform based on the internet of things communication as claimed in claim 1, wherein the battery management system is connected with a charging pile and controls the charging pile to charge the battery; the battery management system is also connected with a battery box acquisition unit to acquire the information of the battery monomer.
8. A new energy vehicle simulation operation control method based on Internet of things communication is characterized by comprising the following steps:
responding to a vehicle simulation running experience scene selected by a user, and acquiring running state data and battery state data of a vehicle through Internet of things communication;
and simulating the current road condition information of the vehicle during running based on the experience scene, and displaying the simulated running scene of the vehicle through a screen based on the running state data and the battery state data.
9. The new energy vehicle simulation operation control method based on internet of things communication as claimed in claim 8, wherein the current road condition information of the simulated vehicle operation is specifically:
acquiring road condition data corresponding to the experience scene, wherein the road condition data comprises the position of a vehicle in the scene, the ground height of each wheel of the vehicle and the ground friction force;
and controlling the thrust of the servo electric cylinder to simulate the undulation of the road according to the road condition data, and controlling the motor torque to simulate the ground friction.
10. The new energy vehicle simulation operation control method based on the internet of things communication as claimed in claim 8, wherein the operation state data comprises an electronic gear, an electronic throttle, an electronic brake, a total battery voltage and a total discharge current; and the running state data is respectively acquired through corresponding hardware circuits.
Priority Applications (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210903449.3A CN114967572A (en) | 2022-07-29 | 2022-07-29 | New energy vehicle simulation operation platform based on Internet of things communication and control method |
Applications Claiming Priority (1)
Application Number | Priority Date | Filing Date | Title |
---|---|---|---|
CN202210903449.3A CN114967572A (en) | 2022-07-29 | 2022-07-29 | New energy vehicle simulation operation platform based on Internet of things communication and control method |
Publications (1)
Publication Number | Publication Date |
---|---|
CN114967572A true CN114967572A (en) | 2022-08-30 |
Family
ID=82970550
Family Applications (1)
Application Number | Title | Priority Date | Filing Date |
---|---|---|---|
CN202210903449.3A Pending CN114967572A (en) | 2022-07-29 | 2022-07-29 | New energy vehicle simulation operation platform based on Internet of things communication and control method |
Country Status (1)
Country | Link |
---|---|
CN (1) | CN114967572A (en) |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115622829A (en) * | 2022-11-22 | 2023-01-17 | 威海海洋职业学院 | Smart home Internet of things interaction platform building method and system |
Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6431872B1 (en) * | 1998-12-25 | 2002-08-13 | Honda Kigen Kogyo Kabushiki Kaisha | Drive simulation apparatus |
CN101923793A (en) * | 2010-07-27 | 2010-12-22 | 中兴通讯股份有限公司 | Method and system for realizing driving simulation |
CN202870559U (en) * | 2012-11-13 | 2013-04-10 | 北京清涫源科技发展有限公司 | Control system for simulating rain and fog weathers in traffic lane |
CN104851330A (en) * | 2015-05-19 | 2015-08-19 | 景晏铭 | Parking-in-place simulated training method and system |
CN105738123A (en) * | 2016-01-30 | 2016-07-06 | 安徽广通汽车制造股份有限公司 | Simulation experiment bench and method for detecting operation performance of pure electric automobile |
CN108414244A (en) * | 2018-05-04 | 2018-08-17 | 重庆凯瑞汽车试验设备开发有限公司 | A kind of power assembly of electric automobile real vehicle simulation test bench and its test method |
WO2022078289A1 (en) * | 2020-10-14 | 2022-04-21 | 广州小鹏自动驾驶科技有限公司 | Simulation test system and method for autonomous driving |
-
2022
- 2022-07-29 CN CN202210903449.3A patent/CN114967572A/en active Pending
Patent Citations (7)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
US6431872B1 (en) * | 1998-12-25 | 2002-08-13 | Honda Kigen Kogyo Kabushiki Kaisha | Drive simulation apparatus |
CN101923793A (en) * | 2010-07-27 | 2010-12-22 | 中兴通讯股份有限公司 | Method and system for realizing driving simulation |
CN202870559U (en) * | 2012-11-13 | 2013-04-10 | 北京清涫源科技发展有限公司 | Control system for simulating rain and fog weathers in traffic lane |
CN104851330A (en) * | 2015-05-19 | 2015-08-19 | 景晏铭 | Parking-in-place simulated training method and system |
CN105738123A (en) * | 2016-01-30 | 2016-07-06 | 安徽广通汽车制造股份有限公司 | Simulation experiment bench and method for detecting operation performance of pure electric automobile |
CN108414244A (en) * | 2018-05-04 | 2018-08-17 | 重庆凯瑞汽车试验设备开发有限公司 | A kind of power assembly of electric automobile real vehicle simulation test bench and its test method |
WO2022078289A1 (en) * | 2020-10-14 | 2022-04-21 | 广州小鹏自动驾驶科技有限公司 | Simulation test system and method for autonomous driving |
Cited By (1)
Publication number | Priority date | Publication date | Assignee | Title |
---|---|---|---|---|
CN115622829A (en) * | 2022-11-22 | 2023-01-17 | 威海海洋职业学院 | Smart home Internet of things interaction platform building method and system |
Similar Documents
Publication | Publication Date | Title |
---|---|---|
CN107340441B (en) | A kind of fuel cell car power assembly integrated test system | |
CN107544031B (en) | Evaluation method and device for simulating running power performance of double-electric hybrid electric vehicle | |
WO2017219296A1 (en) | Unmanned aerial vehicle simulation system, unmanned aerial vehicle simulation method, and unmanned aerial vehicle | |
CN103675686B (en) | Electric vehicle power battery charging and discharging operating condition simulation system and method | |
CN114967572A (en) | New energy vehicle simulation operation platform based on Internet of things communication and control method | |
CN206162185U (en) | Vehicle control unit is at ring emulation test system | |
CN202453474U (en) | Electric automobile power battery charging-discharging test device | |
CN107479542A (en) | A kind of vehicle ECU test systems | |
CN112650078A (en) | Hardware-in-loop simulation system for pure electric vehicle and extended range type electric vehicle controller | |
CN108438250A (en) | Serial mixed power aircraft power system testboard bay | |
CN204462840U (en) | A kind of test macro of distributed driving pure electric vehicle controller | |
CN115656659A (en) | Hybrid power unmanned electric power and electric drive test system and test method under multiple working conditions | |
CN107843848A (en) | A kind of electrokinetic cell and battery management test stand system | |
CN106569053B (en) | A kind of simulation system and method for pure electric automobile on-vehicle battery external characteristics | |
CN214897253U (en) | Adjustable micro-motor braking energy recovery simulation training platform | |
CN106932210A (en) | The engine bench test system and its method of testing of NEDC cyclic brake operating modes | |
CN114184875B (en) | Whole vehicle test system, method and test bench | |
Perişoară et al. | Virtual instruments cluster for monitoring of electric vehicle testing platform | |
CN113570953A (en) | Battery system teaching platform based on analog battery and implementation method | |
CN112197978A (en) | Electric automobile continuation of journey mileage simulation testing arrangement | |
CN210574433U (en) | Multi-interface driving simulator data acquisition device | |
CN208537187U (en) | A kind of testboard bay of three electric system combined debugging of electric car | |
CN213241621U (en) | New new energy automobile motor control system experiment teaching equipment | |
CN202501947U (en) | Brake electrical inertia simulation controller | |
CN216562193U (en) | Battery system teaching platform based on simulation battery |
Legal Events
Date | Code | Title | Description |
---|---|---|---|
PB01 | Publication | ||
PB01 | Publication | ||
SE01 | Entry into force of request for substantive examination | ||
SE01 | Entry into force of request for substantive examination | ||
RJ01 | Rejection of invention patent application after publication |
Application publication date: 20220830 |
|
RJ01 | Rejection of invention patent application after publication |