CN117962630A - Tractor motor electric control lifting system and method - Google Patents
Tractor motor electric control lifting system and method Download PDFInfo
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- CN117962630A CN117962630A CN202311551480.6A CN202311551480A CN117962630A CN 117962630 A CN117962630 A CN 117962630A CN 202311551480 A CN202311551480 A CN 202311551480A CN 117962630 A CN117962630 A CN 117962630A
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Abstract
The invention belongs to the technical field of tractors, and particularly relates to a tractor motor electric control lifting system and a tractor motor electric control lifting method. The electric control lifting system has the advantages of high-performance control, comprehensive sensor monitoring, multi-stage inverter and direct-current bus voltage regulator, data processing and intelligent algorithm, control lifting module, safety and reliability, energy management and the like.
Description
Technical Field
The invention belongs to the technical field of tractors, and particularly relates to an electric control lifting system and method for a tractor motor.
Background
The tractor is a self-propelled power machine for traction and driving the working machinery to complete various mobile operations, and can also be used as fixed working power, and the self-propelled power machine consists of an engine, a transmission system, a walking system, a steering system, a hydraulic suspension system, a power output system, an electric instrument system, a driving control system, a traction system and other systems or devices, wherein the engine power is transmitted to a driving wheel by the transmission system to drive the tractor, and in real life, a rubber belt is commonly used as a power transmission medium, and the tractor is divided into agricultural, industrial, special use and other tractors according to functions and purposes; the tractor is a relatively complex machine, the type and the size of the tractor are different, but the tractor consists of three parts of an engine, a chassis and electrical equipment, each part is indispensable, the average power is continuously increased, no matter the agricultural tractor or the industrial tractor is used, the average power is continuously increased in order to improve the single-machine operation productivity, the increasing speed has a decreasing trend, the north american area and the soviet union are more, the agricultural production scale is large, large farm machinery is mostly adopted, and the corresponding high-power tractor is arranged, and the average power of the tractor is continuously increased in the general development China;
the conventional tractor electric control lifting system has poor operation performance, is inconvenient to monitor the state and detect faults of the tractor, and is unfavorable for the work of the tractor, so that the tractor electric control lifting system and the tractor electric control lifting method are provided for solving the problems.
Disclosure of Invention
The invention aims to provide an electric control lifting system and method for a tractor motor, which can have the advantages of high-performance control, comprehensive sensor monitoring, multistage inverter and direct-current bus voltage regulator, data processing and intelligent algorithm, control lifting module, safety and reliability, energy management and the like.
The technical scheme adopted by the invention is as follows:
The electric control lifting system comprises a controller module, a sensor module, a communication module, a power electronic device module, a data processing module, an electric control lifting module, a safety and reliability module and an energy management module.
In a preferred scheme, the controller module comprises a main control unit, a signal processing unit and a data storage unit, wherein the main control unit adopts a high-performance embedded controller or processor and is responsible for the operation and coordination of the whole system, the signal processing unit is used for processing sensor signals and executing a control algorithm to realize the accurate adjustment of motor control, and the data storage unit is used for recording and storing system parameters, data and fault diagnosis information.
In a preferred scheme, the sensor module comprises a hydraulic sensor, an acoustic sensor, an image sensor and an environment sensor, wherein the hydraulic sensor monitors parameters such as pressure, flow and temperature of a hydraulic system to realize accurate hydraulic control, the acoustic sensor is used for detecting abnormal sounds of an engine, a transmission system and a driving part to perform fault diagnosis and early warning, the image sensor is used for capturing image information of the surrounding environment of the tractor in real time and is used for intelligent navigation and obstacle avoidance, and the environment sensor is used for measuring environmental factors such as temperature, humidity, air pressure and illumination to optimize system performance and driver comfort.
In a preferred scheme, the communication module comprises a cloud platform connection, 5G communication and V2V and V2X communication, wherein the cloud platform connection realizes remote connection, data exchange and remote management with other equipment and systems through cloud service, the 5G communication provides wireless communication with higher speed and lower delay, supports large-scale data transmission and real-time control, and the V2V and V2X communication and other vehicles or infrastructures carry out communication between vehicles and infrastructures, so that information sharing and cooperative driving are realized.
In a preferred scheme, the power electronic device module comprises a multistage inverter, a direct current bus voltage regulator and an intelligent battery management system, wherein the multistage inverter utilizes a plurality of switching elements to decompose a direct current power supply into voltages with a plurality of levels, and the intelligent battery management system monitors and manages the state of a battery pack, the charging and discharging processes and maintenance of the battery pack, and optimizes the energy utilization efficiency by properly opening and closing each stage of switch to generate alternating voltage which is closer to a sine waveform, so as to form a multistage structure, improve the performance of the inverter, have lower harmonic content in output voltage and improve the power quality.
In a preferred scheme, the data processing module comprises big data analysis, artificial intelligence, machine learning and a self-adaptive control algorithm, wherein the big data analysis is used for collecting, processing and analyzing tractor operation data and providing visual report and predictive maintenance support, the artificial intelligence and the machine learning are used for realizing intelligent control and decision function by deep learning, reinforcement learning and pattern recognition, and the self-adaptive control algorithm is used for adjusting control parameters and strategies according to real-time data and adapting to different working conditions and environmental conditions.
In a preferred scheme, automatically controlled promotion module includes electric power steering system, automobile body stable control system, initiative damping control system, power distribution control system, adjustable auxiliary braking system, intelligent driving mode selection system, electric power steering system passes through the steering of motor assistance realization tire, provides lighter, accurate control ability, lightens the operation burden of driver, automobile body stable control system passes through the state such as sensor monitoring vehicle's gesture, steering and roll, utilizes motor adjustment driving force and brake force distribution, keeps the stability and the driving safety of vehicle, initiative damping control system passes through electric control technology and realizes initiative shock attenuation and suspension control, according to road surface situation and driving demand, adjust suspension rigidity and damping, improve driving travelling comfort and suspension performance, power distribution control system passes through the fine adjustment of motor according to different operating conditions and road surface condition, realizes switching and power distribution of four-wheel or multi-wheel drive, promotes traction and running performance, adjustable auxiliary braking system adopts electric control technology to realize the regulation to tractor auxiliary braking force, provides accurate torque distribution and differential control, improves braking performance and security, intelligent driving mode selection system passes through the intelligent driving mode of motor and intelligent driving mode selection and intelligent driving mode according to the requirements of the intelligent driving mode and intelligent driving mode.
In a preferred scheme, the safety and reliability module comprises an advanced driving assistance system, an abnormality detection and fault diagnosis, a reliability design and a redundancy configuration, wherein the advanced driving assistance system comprises lane keeping, automatic braking and blind spot detection functions, the abnormality detection and fault diagnosis monitors the state of the tractor and detects the fault through sensor data and algorithms, timely alarming and maintenance prompt are realized, and the reliability design and the redundancy configuration adopt a double-path redundancy or multiple-path redundancy design, so that the system can still normally operate under the fault condition.
In a preferred scheme, the energy management module comprises a storage battery, a solar charging system and an energy recovery system, wherein the solar charging system collects solar energy through a solar panel and converts the solar energy into electric power, renewable energy sources are provided for the system, and the energy recovery system converts braking energy into electric energy to be stored through energy recovery when a motor brakes or decelerates, so that the energy efficiency of the system is improved.
In a preferred scheme, the electric control lifting system and method for the tractor motor comprise the following steps:
Step 1, sensor data acquisition and processing: filtering, calibrating and processing the sensor data, improving the data quality and accuracy, analyzing and diagnosing the sensor data by using machine learning and pattern recognition, and realizing fault detection and early warning functions;
Step 2, optimizing a control strategy and an algorithm: selecting a proper control strategy and algorithm according to the application scene and the working condition requirement of the tractor, optimizing the control strategy and the adjustment parameters by establishing a mathematical model and a simulation platform, improving the system performance and efficiency, realizing self-adaptive control and optimization decision by using reinforcement learning and optimization algorithm, and adapting to different working conditions and driving requirements;
And 3, real-time control and feedback: configuring a high-performance embedded controller and a real-time operating system, realizing quick response and real-time control of a motor electric control system, adopting a feedback control technology, realizing accurate control of a motor and other actuators through sensor data feedback, and realizing accurate adjustment and control of parameters such as motor torque, speed, direction and the like based on a control strategy and an algorithm;
step 4, communication and remote management: the cloud platform connection and the 5G communication technology are integrated, remote connection and data exchange with other equipment and systems are realized, remote monitoring, maintenance and upgrading of the electric control system of the tractor motor are realized through cloud service, reliability and manageability of the system are improved, V2V and V2X communication between vehicles and between the vehicles and infrastructure are supported, and information sharing, cooperative driving and intelligent traffic functions are realized.
The invention has the technical effects that:
The system adopts a high-performance embedded controller or processor to realize the operation and coordination of the whole system, and can quickly respond and accurately control the motor and other actuators, thereby improving the dynamic performance and stability of the system;
The system is provided with various sensors, including a hydraulic sensor, an acoustic sensor, an image sensor, an environment sensor and the like, so that the states of a hydraulic system, an engine, a transmission system, a driving part and the surrounding environment of the tractor can be comprehensively monitored, accurate hydraulic control, fault diagnosis and early warning, intelligent navigation and obstacle avoidance are realized, and the system performance and the driver comfort level are optimized;
the system adopts a multistage inverter and a direct current bus voltage regulator, can generate alternating current voltage close to sine waveform, reduces harmonic content and improves power quality; the accurate control of the torque and the speed of the motor is realized by adjusting the voltage of the direct current bus;
The system is provided with a data processing module, comprises big data analysis, artificial intelligence, machine learning and a self-adaptive control algorithm, can collect, process and analyze the operation data of the tractor, provides visual report and predictive maintenance support, and realizes intelligent control and decision function by utilizing technologies such as deep learning, reinforcement learning, pattern recognition and the like; adjusting control parameters and strategies according to the real-time data, and adapting to different working conditions and environmental conditions;
The system is provided with an electric power steering system, a vehicle body stability control system, an active vibration reduction control system, a power distribution control system, an adjustable auxiliary braking system, an intelligent driving mode selection system and other modules, so that lighter and more accurate control capability can be provided, the stability and the driving safety of the vehicle are maintained, the driving comfort is improved, the traction force and the driving performance are improved, the braking performance and the safety are improved, and the intelligent driving experience is realized;
the system is provided with modules such as an advanced driving auxiliary system, abnormality detection and fault diagnosis, reliability design and redundancy configuration, and can realize the functions of lane keeping, automatic braking, blind spot detection and the like; the state monitoring and fault detection are carried out on the tractor through the sensor data and the algorithm, so that timely alarming and maintenance prompt are realized, and the system can still normally operate under the fault condition by adopting a double-path redundancy or multi-path redundancy design;
the system is provided with a storage battery, a solar charging system and an energy recovery system, and renewable energy sources and energy recovery technologies are utilized, so that the energy utilization efficiency is improved, and the energy consumption is reduced.
Drawings
FIG. 1 is a schematic diagram of a tractor electric hoist system of the present invention;
fig. 2 is a schematic diagram of an electric lifting method for a tractor according to the present invention.
Detailed Description
In order that the above-recited objects, features and advantages of the present invention will become more readily apparent, a more particular description of the invention will be rendered by reference to specific embodiments thereof which are illustrated in the appended drawings.
Referring to fig. 1-2, the invention provides a tractor motor electric control lifting system and a method thereof, wherein the motor electric control lifting system comprises a controller module, a sensor module, a communication module, a power electronic device module, a data processing module, an electric control lifting module, a safe and reliable module and an energy management module, the controller module comprises a main control unit, a signal processing unit and a data storage unit, the main control unit adopts a high-performance embedded controller or processor and is responsible for the operation and coordination of the whole system, the signal processing unit is used for processing sensor signals and executing a control algorithm to realize the accurate adjustment of motor control, the data storage unit is used for recording and storing system parameters, data and fault diagnosis information, the sensor module comprises a hydraulic sensor, an acoustic sensor, an image sensor and an environmental sensor, the hydraulic sensor monitors the parameters such as pressure, flow and temperature of the hydraulic system to realize accurate hydraulic control, the sensor is used for detecting abnormal sounds of an engine, a transmission system and a driving component to perform fault diagnosis and early warning, the image sensor captures image information of the surrounding environment of the tractor in real time and is used for intelligent navigation and avoidance of environmental barriers, and the environmental sensor is used for measuring environmental barriers such as temperature, humidity, air pressure and comfort level of a driver;
The communication module comprises cloud platform connection, 5G communication and V2V and V2X communication, the cloud platform connection realizes remote connection with other equipment and systems through cloud service, data exchange and remote management, the 5G communication provides higher-speed and lower-delay wireless communication, large-scale data transmission and real-time control are supported, the V2V and V2X communication and other vehicles or infrastructures carry out communication between vehicles and infrastructures, information sharing and cooperative driving are realized, the power electronic device module comprises a multi-stage inverter, a direct current bus voltage regulator and an intelligent battery management system, the multi-stage inverter utilizes a plurality of switching elements to decompose a direct current power supply into voltages with a plurality of levels, and realizes generation of alternating voltage which is closer to sine waveforms through proper opening and closing of each stage switch, a multi-stage structure is formed, the performance of the inverter is improved, the output voltage has lower harmonic content, the power quality is improved, the direct current bus voltage regulator carries out accurate control on the torque and the speed of a motor, the intelligent battery management system monitors and manages the state of a battery pack, the charge-discharge process and maintenance efficiency, the intelligent battery management system optimizes the energy utilization, the large-level data and the intelligent battery management system, the intelligent battery management system comprises a large-level control module and a large-level data learning algorithm, the intelligent machine learning algorithm and a learning algorithm, the intelligent machine learning algorithm is controlled to realize a deep learning control, a learning algorithm, a learning and a self-adaptive control, a learning condition is realized, and a data analysis, and an environmental condition is adaptively is realized, and a self-adaptive condition is realized, and a learning condition is realized, and a data is self-adaptive control condition is realized, and has a learning condition is realized, and data control condition is provided;
the electric control lifting module comprises an electric power steering system, a vehicle body stable control system, an active vibration reduction control system, a power distribution control system, an adjustable auxiliary braking system and an intelligent driving mode selection system, wherein the electric power steering system realizes steering of tires through motor assistance, provides lighter and more accurate control capability, lightens the operation burden of a driver, the vehicle body stable control system monitors states such as posture, steering and rolling of a vehicle through a sensor, utilizes the motor to adjust driving force and braking force distribution, keeps stability and driving safety of the vehicle, the active vibration reduction control system realizes active vibration reduction and suspension control through an electric control technology, adjusts suspension rigidity and damping according to road surface conditions and driving requirements, improves driving comfort and suspension performance, the power distribution control system realizes switching and power distribution of four-wheel or multi-wheel driving through fine adjustment of the motor, improves traction force and driving performance, the adjustable auxiliary braking system adopts the electric control technology to realize adjustment of auxiliary braking force of a tractor, provides accurate torque distribution and differential control, improves braking performance and safety, the intelligent driving mode selection system realizes selection and switching of an intelligent driving mode through the electric control technology, automatically adjusts the motor and driving requirements according to the road surface conditions and driving requirements, further realizes automatic adjustment of the motor and driving requirements and the automatic driving mode, and the intelligent driving mode selection system comprises a fault detection module and an error detection and a fault detection system, a fault detection and a fault detection system is designed to have a high-level and a fault detection device, and a fault detection system is capable of detecting and has a fault detection function, and a fault detection system is capable of detecting and fault and has a fault detection function, the system can realize timely alarm and maintenance prompt, reliability design and redundant configuration adopt double-path redundancy or multi-path redundancy design, ensure that the system can still normally operate under the fault condition, and the energy management module comprises a storage battery, a solar charging system and an energy recovery system, wherein the solar charging system collects solar energy through a solar panel and converts the solar energy into electric power, renewable energy sources are provided for the system, and the energy recovery system converts braking energy into electric energy for storage through energy recovery during motor braking or deceleration, so that the energy efficiency of the system is improved.
An electric control lifting system and method for a tractor motor, wherein the electric control lifting method comprises the following steps:
Step 1, sensor data acquisition and processing: filtering, calibrating and processing the sensor data, improving the data quality and accuracy, analyzing and diagnosing the sensor data by using machine learning and pattern recognition, and realizing fault detection and early warning functions;
Step 2, optimizing a control strategy and an algorithm: selecting a proper control strategy and algorithm according to the application scene and the working condition requirement of the tractor, optimizing the control strategy and the adjustment parameters by establishing a mathematical model and a simulation platform, improving the system performance and efficiency, realizing self-adaptive control and optimization decision by using reinforcement learning and optimization algorithm, and adapting to different working conditions and driving requirements;
And 3, real-time control and feedback: configuring a high-performance embedded controller and a real-time operating system, realizing quick response and real-time control of a motor electric control system, adopting a feedback control technology, realizing accurate control of a motor and other actuators through sensor data feedback, and realizing accurate adjustment and control of parameters such as motor torque, speed, direction and the like based on a control strategy and an algorithm;
step 4, communication and remote management: the cloud platform connection and the 5G communication technology are integrated, remote connection and data exchange with other equipment and systems are realized, remote monitoring, maintenance and upgrading of the electric control system of the tractor motor are realized through cloud service, reliability and manageability of the system are improved, V2V and V2X communication between vehicles and between the vehicles and infrastructure are supported, and information sharing, cooperative driving and intelligent traffic functions are realized.
In the invention, the system adopts a high-performance embedded controller or processor to realize the operation and coordination of the whole system, can quickly respond and accurately control a motor and other actuators, improve the dynamic performance and stability of the system, is provided with various sensors including a hydraulic sensor, an acoustic sensor, an image sensor, an environment sensor and the like, can comprehensively monitor the states of a hydraulic system, an engine, a transmission system, a driving part and the surrounding environment of the tractor, realizes accurate hydraulic control, fault diagnosis and early warning, intelligent navigation and obstacle avoidance, optimizes the performance of the system and the comfort of a driver, and adopts a multi-stage inverter and a direct current bus voltage regulator, can generate alternating voltage close to a sine waveform, reduce the harmonic content and improve the power quality; the system is provided with a data processing module, comprises big data analysis, artificial intelligence and machine learning, and a self-adaptive control algorithm, can collect, process and analyze the operation data of the tractor, provide visual report and predictive maintenance support, and realize intelligent control and decision function by using deep learning, reinforcement learning, pattern recognition and other technologies; according to the real-time data, control parameters and strategies are adjusted to adapt to different working conditions and environmental conditions, the system is provided with an electric power steering system, a vehicle body stability control system, an active vibration reduction control system, a power distribution control system, an adjustable auxiliary braking system, an intelligent driving mode selection system and other modules, so that lighter and more accurate control capability can be provided, the stability and driving safety of a vehicle are kept, the driving comfort is improved, the traction force and the driving performance are improved, the braking performance and the braking safety are improved, the intelligent driving experience is realized, and the system is provided with an advanced driving auxiliary system, an abnormality detection and fault diagnosis module, a reliability design and redundancy configuration module and other modules, and the functions of lane keeping, automatic braking, blind spot detection and the like can be realized; the state monitoring and fault detection are carried out on the tractor through sensor data and an algorithm, timely alarm and maintenance prompt are realized, the two-way redundancy or multi-way redundancy design is adopted, the system can still normally operate under the fault condition, the system is provided with a storage battery, a solar charging system and an energy recovery system, renewable energy sources and energy recovery technology are utilized, the energy utilization efficiency is improved, and the energy consumption is reduced.
The foregoing is merely a preferred embodiment of the present invention and it should be noted that modifications and adaptations to those skilled in the art may be made without departing from the principles of the present invention, which are intended to be comprehended within the scope of the present invention. Structures, devices and methods of operation not specifically described and illustrated herein, unless otherwise indicated and limited, are implemented according to conventional means in the art.
Claims (10)
1. An electric control lifting system and method for a tractor motor are characterized in that: the motor electric control lifting system comprises a controller module, a sensor module, a communication module, a power electronic device module, a data processing module, an electric control lifting module, a safety and reliability module and an energy management module.
2. The tractor motor electrically controlled lifting system and method as claimed in claim 1, wherein: the controller module comprises a main control unit, a signal processing unit and a data storage unit, wherein the main control unit adopts a high-performance embedded controller or processor and is responsible for the operation and coordination of the whole system, the signal processing unit is used for processing sensor signals and executing a control algorithm to realize the accurate adjustment of motor control, and the data storage unit is used for recording and storing system parameters, data and fault diagnosis information.
3. The tractor motor electrically controlled lifting system and method as claimed in claim 1, wherein: the sensor module comprises a hydraulic sensor, an acoustic sensor, an image sensor and an environment sensor, wherein the hydraulic sensor monitors parameters such as pressure, flow, temperature and the like of a hydraulic system to realize accurate hydraulic control, the acoustic sensor is used for detecting abnormal sounds of an engine, a transmission system and a driving part to perform fault diagnosis and early warning, the image sensor captures image information of the surrounding environment of the tractor in real time and is used for intelligent navigation and obstacle avoidance, and the environment sensor measures environmental factors such as temperature, humidity, air pressure and illumination to optimize system performance and driver comfort.
4. The tractor motor electrically controlled lifting system and method as claimed in claim 1, wherein: the communication module comprises cloud platform connection, 5G communication and V2V and V2X communication, wherein the cloud platform connection realizes remote connection, data exchange and remote management with other equipment and systems through cloud service, the 5G communication provides wireless communication with higher speed and lower delay, supports large-scale data transmission and real-time control, and the V2V and V2X communication and other vehicles or infrastructures carry out communication between vehicles and infrastructures, so that information sharing and cooperative running are realized.
5. The tractor motor electrically controlled lifting system and method as claimed in claim 1, wherein: the power electronic device module comprises a multistage inverter, a direct current bus voltage regulator and an intelligent battery management system, wherein the multistage inverter utilizes a plurality of switching elements to decompose a direct current power supply into voltages with a plurality of levels, and the multistage inverter is used for generating alternating current voltage which is closer to a sine waveform by properly opening and closing each stage of switch to form a multistage structure, so that the performance of the inverter is improved, the output voltage has lower harmonic content and improves the power quality, the direct current bus voltage regulator is used for accurately controlling the torque and the speed of a motor by adjusting the direct current bus voltage, and the intelligent battery management system is used for monitoring and managing the state, the charging and discharging process and the maintenance of a battery pack and optimizing the energy utilization efficiency.
6. The tractor motor electrically controlled lifting system and method as claimed in claim 1, wherein: the data processing module comprises big data analysis, artificial intelligence, machine learning and a self-adaptive control algorithm, wherein the big data analysis is used for collecting, processing and analyzing the operation data of the tractor and providing visual report and predictive maintenance support, the artificial intelligence and the machine learning are used for realizing intelligent control and decision function by deep learning, reinforcement learning and pattern recognition, and the self-adaptive control algorithm is used for adjusting control parameters and strategies according to real-time data and adapting to different working conditions and environmental conditions.
7. The tractor motor electrically controlled lifting system and method as claimed in claim 1, wherein: the electric control lifting module comprises an electric power steering system, a vehicle body stability control system, an active vibration reduction control system, a power distribution control system, an adjustable auxiliary braking system and an intelligent driving mode selection system, wherein the electric power steering system realizes steering of tires through motor assistance, provides lighter and accurate control capability, reduces the operation burden of a driver, the vehicle body stability control system monitors states such as posture, steering and rolling of a vehicle through a sensor, utilizes a motor to adjust driving force and braking force distribution, keeps stability and driving safety of the vehicle, the active vibration reduction control system realizes active vibration reduction and suspension control through an electric control technology, adjusts suspension rigidity and damping according to road conditions and driving requirements, improves driving comfort and suspension performance, the power distribution control system realizes switching and power distribution of four-wheel or multi-wheel driving according to different working conditions and road conditions through fine adjustment of the motor, the adjustable auxiliary braking system adopts the electric control technology to realize adjustment of auxiliary braking force of a tractor, provides accurate torque distribution and differential control, improves braking performance and safety, and the intelligent mode selection system realizes intelligent driving mode and intelligent driving experience according to the selection of the electric control technology and the motor and the driving conditions and the driving mode.
8. The tractor motor electrically controlled lifting system and method as claimed in claim 1, wherein: the safety and reliability module comprises an advanced driving auxiliary system, an abnormality detection and fault diagnosis, a reliability design and a redundancy configuration, wherein the advanced driving auxiliary system comprises lane keeping, automatic braking and blind spot detection functions, the abnormality detection and fault diagnosis monitors the state of the tractor and detects the fault through sensor data and an algorithm, timely alarming and maintenance prompt are realized, and the reliability design and the redundancy configuration adopt a double-path redundancy or multiple-path redundancy design, so that the system can still normally operate under the fault condition.
9. The tractor motor electrically controlled lifting system and method as claimed in claim 1, wherein: the energy management module comprises a storage battery, a solar charging system and an energy recovery system, wherein the solar charging system collects solar energy through a solar panel and converts the solar energy into electric power, renewable energy sources are provided for the system, and the energy recovery system converts braking energy into electric energy to be stored through energy recovery during motor braking or deceleration, so that the energy efficiency of the system is improved.
10. The tractor motor electrically controlled lifting system and method as claimed in claim 1, wherein: the electric control lifting method comprises the following steps:
Step 1, sensor data acquisition and processing: filtering, calibrating and processing the sensor data, improving the data quality and accuracy, analyzing and diagnosing the sensor data by using machine learning and pattern recognition, and realizing fault detection and early warning functions;
Step 2, optimizing a control strategy and an algorithm: selecting a proper control strategy and algorithm according to the application scene and the working condition requirement of the tractor, optimizing the control strategy and the adjustment parameters by establishing a mathematical model and a simulation platform, improving the system performance and efficiency, realizing self-adaptive control and optimization decision by using reinforcement learning and optimization algorithm, and adapting to different working conditions and driving requirements;
And 3, real-time control and feedback: configuring a high-performance embedded controller and a real-time operating system, realizing quick response and real-time control of a motor electric control system, adopting a feedback control technology, realizing accurate control of a motor and other actuators through sensor data feedback, and realizing accurate adjustment and control of parameters such as motor torque, speed, direction and the like based on a control strategy and an algorithm;
step 4, communication and remote management: the cloud platform connection and the 5G communication technology are integrated, remote connection and data exchange with other equipment and systems are realized, remote monitoring, maintenance and upgrading of the electric control system of the tractor motor are realized through cloud service, reliability and manageability of the system are improved, V2V and V2X communication between vehicles and between the vehicles and infrastructure are supported, and information sharing, cooperative driving and intelligent traffic functions are realized.
Priority Applications (1)
| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311551480.6A CN117962630A (en) | 2023-11-21 | 2023-11-21 | Tractor motor electric control lifting system and method |
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| Application Number | Priority Date | Filing Date | Title |
|---|---|---|---|
| CN202311551480.6A CN117962630A (en) | 2023-11-21 | 2023-11-21 | Tractor motor electric control lifting system and method |
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| CN117962630A true CN117962630A (en) | 2024-05-03 |
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| CN202311551480.6A Pending CN117962630A (en) | 2023-11-21 | 2023-11-21 | Tractor motor electric control lifting system and method |
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- 2023-11-21 CN CN202311551480.6A patent/CN117962630A/en active Pending
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