Electric vehicle motor control system and control method

Abstract

The present invention discloses an electric vehicle motor control system and a control method, which include: collecting real-time operation and ambient temperature data of the electric vehicle; starting a heating device for low temperatures in winter; processing and filtering the collected data; adjusting the motor output power and the speed and torque parameters through a closed-loop control algorithm according to sensor data; monitoring the battery charging and discharging process to realize the energy recovery function; fault diagnosis and protection, uploading the operating status to a central control system for detection and diagnosis; real-time monitoring of data, generating an alarm by comparing the factory data, triggering an alarm system and notifying management personnel to intervene remotely for processing; an electric vehicle motor control system and a control method of the present invention, a heating system for low-temperature environments, improves the performance and endurance of electric vehicles in extreme low temperatures, and the real-time monitoring and remote diagnosis modules detect abnormal conditions of the vehicle in a timely manner, and trigger the alarm system to remind management personnel to handle remotely, thereby enhancing the safety of the vehicle.

Description

Technical Field

[0001] The present invention belongs to the field of electric vehicle motor control, and in particular relates to an electric vehicle motor control system and a control method. Background Art

[0002] Electric vehicles use electric motors as their power source. These motors can be DC motors (such as permanent magnet synchronous motors or asynchronous motors) or AC motors (such as induction motors or permanent magnet synchronous motors); the inverter is a device that converts the DC power of the electric vehicle's battery into the AC power required by the motor. The inverter is also responsible for controlling the speed and torque of the motor; the motor controller is part of the inverter, which is responsible for monitoring and controlling the operation of the motor. The motor controller usually includes sensors and microprocessors to detect the speed, position and temperature of the motor and adjust the operation of the motor according to the driver's needs. The battery management system is a system that manages the battery of the electric vehicle. It is responsible for monitoring the voltage, current and temperature of the battery and ensuring the safety and performance of the battery; the vehicle control system is responsible for coordinating the various components of the electric vehicle, including the motor, inverter, braking system, etc., to ensure the smooth operation of the vehicle and the safety of the driver.

[0003] However, in extremely low temperature environments, the performance of batteries and motors may be affected, resulting in reduced mileage and lower charging efficiency of electric vehicles. Compared with traditional vehicles, the high-voltage systems and complex electronic control systems of electric vehicles may increase potential failures and safety risks. Summary of the invention

[0004] In view of the deficiencies in the prior art, the purpose of the present invention is to provide an electric vehicle motor control system and control method, which is aimed at the battery and motor heating system in low-temperature environments, improves the performance and endurance of electric vehicles in extreme low temperatures, and the real-time monitoring and remote diagnosis modules can detect abnormal conditions of the vehicle in time and trigger the alarm system to remind management personnel to intervene remotely, thereby enhancing the safety of the vehicle.

[0005] The technical solution adopted by the present invention to solve its technical problem is:

[0006] An electric vehicle motor control system includes:

[0007] Sensor data acquisition module, used to collect real-time operation data of electric vehicles and real-time ambient temperature information data;

[0008] The heating optimization module is used for heating in low-temperature winter environments. When the real-time ambient temperature is low, the heating device is started to the normal operating temperature of the electric vehicle motor;

[0009] A data processing module is used to process and filter the collected data;

[0010] The closed-loop control algorithm module is used to adjust the output power of the motor through the closed-loop control algorithm according to the data collected by the sensor, and adjust the speed and torque parameters of the motor according to the real-time situation of the vehicle;

[0011] The battery energy management and recovery module is used to monitor and manage the battery charging and discharging process and protect the battery. When the electric vehicle is braking or decelerating, the motor control system converts part of the kinetic energy into electrical energy and stores it in the battery through the energy recovery function;

[0012] Real-time monitoring and remote diagnosis module, used for fault diagnosis and protection functions, uploads the running status of the electric vehicle to the central control system in real time, and the central control system detects the real-time running status of the electric vehicle and diagnoses the faults of the system;

[0013] The fault alarm prompt module is used to monitor electric vehicle data in real time and generate alarms by comparing the factory data. When the electric vehicle is detected to be abnormal, the parameters exceed the set range or change abnormally, the alarm system is triggered and the central control system notifies the management personnel to intervene remotely.

[0014] The motor control of electric vehicles is achieved by combining sensor data acquisition module, heating optimization module, data processing module, closed-loop control algorithm module, battery energy management and recovery module, real-time monitoring and remote diagnosis module, and fault alarm prompt module.

[0015] A method for controlling a motor of an electric vehicle, comprising:

[0016] Through sensor data collection, the current electric vehicle speed, steering angle, acceleration, ambient temperature, battery power and motor temperature data information are obtained;

[0017] Heating optimization is adopted to deploy heating devices on electric vehicles. The heating devices set thresholds based on real-time external environmental data. When the outdoor ambient temperature is lower than the threshold, the heating devices are activated to heat the vehicle motor to normal temperature.

[0018] The collected data is processed and filtered through intelligent algorithms, and the output power and parameters of the motor are adjusted according to real-time data using a closed-loop control algorithm;

[0019] Through the data collected by sensors in real time, the battery charging and discharging process is monitored and managed in real time, the battery energy is optimized and protected, and part of the functional energy is recovered and converted into electrical energy and stored in the battery when the electric vehicle brakes or decelerates;

[0020] Based on real-time data collection and monitoring of electric vehicles, the operating status of electric vehicles is uploaded to the central control system, which remotely compares the real-time data with the factory data of electric vehicles to diagnose faults, analyze and optimize;

[0021] By real-time monitoring of the operating status of electric vehicles, vehicle alarm prompts can be set. When responding to abnormal vehicle data or an accident, the alarm prompt will immediately send out an alarm message to prompt the central control management personnel and remotely intervene to handle the problem.

[0022] As a preferred method, the method of acquiring the current electric vehicle speed, steering angle, acceleration, ambient temperature, battery power and motor temperature data information through sensor data collection is:

[0023] The current real-time data information of the electric vehicle is obtained through the vehicle speed sensor, steering angle sensor, acceleration sensor, ambient temperature sensor, battery power sensor, and motor temperature sensor deployed in the electric vehicle.

[0024] As a preferred method, heating optimization is adopted to deploy a heating device for the electric vehicle. The heating device sets a threshold value according to the real-time external environment data. When the outdoor environment temperature is lower than the threshold value, the heating device is started to heat the vehicle motor to normal temperature. The method is as follows:

[0025] According to the environmental temperature sensor, the external ambient temperature data of the vehicle is collected in real time, and a threshold is set according to the working requirements of the vehicle motor and the environmental conditions. When the ambient temperature is lower than the threshold, the heating device is started;

[0026] The ambient temperature data sensor is regularly tested and compared with the set threshold. After the heating device is started, the heating device is controlled to heat the motor according to the set heating curve to raise its temperature to the temperature range required for normal temperature operation;

[0027] Monitor the motor temperature in real time to ensure that the heating device does not exceed the heating safety range during the heating process. When the motor temperature reaches the set normal operating temperature, the heating device stops heating and enters standby mode.

[0028] As a preferred method, the collected data is processed and filtered by an intelligent algorithm, and the output power and parameters of the motor are adjusted according to the real-time data by a closed-loop control algorithm:

[0029] Use intelligent algorithms to process and filter the collected ambient temperature data to remove noise and instability;

[0030] Design a closed-loop control algorithm that uses real-time ambient temperature data as input and adjusts the motor's output power and parameters according to a preset control strategy;

[0031] According to the output result of the closed-loop control algorithm, the output power of the motor is adjusted. When the ambient temperature is lower than the threshold, the output power of the motor is increased, including adjusting the parameters of the motor, such as current limit and speed limit.

[0032] As a preferred method, the method of real-time monitoring and managing the charging and discharging process of the battery through the data collected by the sensor in real time, optimizing the utilization and protection of the battery energy, and recovering part of the functional energy when the electric vehicle brakes or decelerates and converting it into electrical energy and storing it in the battery is:

[0033] According to the real-time collection of battery voltage, current and temperature by sensors, a real-time monitoring system is set up to monitor the battery status in real time, including charging status and discharging status;

[0034] During the charging process, the charging rate, charging cut-off voltage, SOC, and SOH parameters are controlled. During the discharging process, the discharge current and voltage are adjusted according to demand to prevent the battery from over-discharging.

[0035] When an electric vehicle brakes or decelerates, the braking energy recovery system is used to design a recovery control algorithm to monitor the vehicle's braking status and braking energy in real time. During the energy recovery process, the current and voltage of the recovered electrical energy are controlled to convert the recovered energy into electrical energy and store it in the battery.

[0036] As a preferred method, based on real-time data collection and monitoring of electric vehicles, the running status of electric vehicles is uploaded to the central control system, and the central control system remotely compares the real-time data with the factory data of electric vehicles to diagnose faults and analyze and optimize the method as follows:

[0037] According to the real-time electric vehicle data collected by the sensor, the collected real-time data is uploaded to the central control system through the communication network;

[0038] After receiving the real-time data, the central control system compares and analyzes it with the factory data of the electric vehicle. Using the data analysis algorithm, the real-time data is compared with the factory data to identify anomalies or deviations, including battery charging and discharging characteristics and motor efficiency decline;

[0039] According to the results of comparative analysis, identify existing faults or optimization points, use fault diagnosis algorithms to locate and diagnose potential faults, and provide optimization suggestions;

[0040] After obtaining user permission, the central control system sends control instructions to the electric vehicle for remote control and adjustment. The remote control and adjustment include charging current, starting specific diagnostic procedures, and feeding back diagnostic results and optimization suggestions to users or relevant technicians.

[0041] As a preferred method, by real-time monitoring of the running status of the electric vehicle, setting an alarm prompt for the vehicle, the alarm prompt immediately sends an alarm message to the central control management personnel and remotely intervenes in the process when responding to abnormal vehicle data or an accident occurs:

[0042] Set up algorithms to monitor the battery status, motor status, and vehicle speed of electric vehicles in real time, and define abnormal thresholds and conditions based on the real-time data and factory data of electric vehicles. When the parameters in operation are monitored to exceed the set normal range or show abnormal changes, an alarm is triggered;

[0043] When an alarm is triggered, the central control system immediately sends alarm information to relevant managers through App notifications, including alarm type and vehicle location information;

[0044] After receiving the alarm, the manager sends instructions to the vehicle to contact the owner according to the alarm information. After obtaining the user's permission or if there is no response within the time limit, the manager remotely accesses the real-time data of the electric vehicle to determine whether to dispatch a rescue vehicle;

[0045] When handling alarms, the central control system provides real-time feedback to managers and records detailed information about the alarm event, including triggering conditions, handling process, and results.

[0046] Another technical problem to be solved by the present invention is to provide an electronic device, including a memory, a processor and a computer program stored in the memory and executable on the processor, wherein when the processor executes the program, an electric vehicle motor control system and control method as described above are implemented.

[0047] Another technical problem to be solved by the present invention is to provide a computer-readable storage medium on which a computer program is stored, and when the program is executed by a processor, an electric vehicle motor control system and a control method are implemented.

[0048] The beneficial effects of the present invention are:

[0049] By real-time monitoring and adjusting the operating parameters of electric vehicles, including motor output power, speed, torque, etc., the power and driving stability of the vehicle can be improved, thereby enhancing the driving experience; the battery energy management and recovery module can convert part of the kinetic energy into electrical energy and store it in the battery during braking or deceleration, thereby realizing energy recovery, improving energy utilization efficiency, and extending the driving range; the real-time monitoring and remote diagnosis module can detect abnormal conditions of the vehicle in a timely manner, and trigger the alarm system to remind the management personnel to intervene remotely, thereby enhancing the safety of the vehicle; the battery energy management and recovery module monitors and manages the battery charging and discharging process, protects the battery, and extends the battery life; the heating optimization module starts the heating device in a low temperature environment, which can reduce the energy loss of the battery and motor, thereby saving energy and reducing the impact on the environment; the real-time monitoring and remote diagnosis module can upload the operating status of the electric vehicle to the central control system in real time, realize remote diagnosis and maintenance, reduce the cost of troubleshooting and maintenance, and improve the reliability and maintainability of the vehicle. BRIEF DESCRIPTION OF THE DRAWINGS

[0050] Figure 1 The present invention is a flow chart of an electric vehicle motor control system and a control method. DETAILED DESCRIPTION

[0051] The principles and features of the present invention are described below, and the examples are only used to explain the present invention and are not used to limit the scope of the present invention. The present invention is described more specifically by way of example in the following paragraphs. According to the following description and claims, the advantages and features of the present invention will become clearer.

[0052] Unless otherwise defined, all technical and scientific terms used herein have the same meaning as those commonly understood by those skilled in the art to which the present invention belongs. The terms used herein in the specification of the present invention are only for the purpose of describing specific embodiments and are not intended to limit the present invention. The term "and / or" used herein includes any and all combinations of one or more of the related listed items. Example

[0053] An electric vehicle motor control system includes:

[0054] Sensor data acquisition module, used to collect real-time operation data of electric vehicles and real-time ambient temperature information data;

[0055] The heating optimization module is used for heating in low-temperature winter environments. When the real-time ambient temperature is low, the heating device is started to the normal operating temperature of the electric vehicle motor;

[0056] A data processing module is used to process and filter the collected data;

[0057] The closed-loop control algorithm module is used to adjust the output power of the motor through the closed-loop control algorithm according to the data collected by the sensor, and adjust the speed and torque parameters of the motor according to the real-time situation of the vehicle;

[0058] The battery energy management and recovery module is used to monitor and manage the battery charging and discharging process and protect the battery. When the electric vehicle is braking or decelerating, the motor control system converts part of the kinetic energy into electrical energy and stores it in the battery through the energy recovery function;

[0059] Real-time monitoring and remote diagnosis module, used for fault diagnosis and protection functions, uploads the running status of the electric vehicle to the central control system in real time, and the central control system detects the real-time running status of the electric vehicle and diagnoses the faults of the system;

[0060] The fault alarm prompt module is used to monitor electric vehicle data in real time and generate alarms by comparing the factory data. When the electric vehicle is detected to be abnormal, the parameters exceed the set range or change abnormally, the alarm system is triggered and the central control system notifies the management personnel to intervene remotely.

[0061] The motor control of electric vehicles is achieved by combining sensor data acquisition module, heating optimization module, data processing module, closed-loop control algorithm module, battery energy management and recovery module, real-time monitoring and remote diagnosis module, and fault alarm prompt module.

[0062] The sensor data acquisition module collects real-time operation data and ambient temperature information of electric vehicles. The heating optimization module adjusts the heating device in real time according to the ambient temperature to ensure that the motor works at normal operating temperature, thereby improving the stability and performance of the system. The data processing module processes and filters the collected data. The closed-loop control algorithm module adjusts the output power, speed and torque parameters of the motor in real time according to the data collected by the sensor to adapt to the real-time situation of the vehicle, thereby improving the driving experience and energy efficiency. The battery energy management and recovery module monitors and manages the charging and discharging process of the battery to protect the battery, and converts part of the kinetic energy into electrical energy and stores it in the battery through the energy recovery function during braking or deceleration, thereby extending the driving range and improving energy utilization efficiency. The real-time monitoring and remote diagnosis module uploads the operating status of the electric vehicle to the central control system in real time, realizes remote diagnosis and fault detection, promptly discovers and solves problems, and improves the reliability and maintainability of the vehicle. The fault alarm prompt module monitors the electric vehicle data in real time, generates an alarm by comparing the factory data, and triggers the alarm system once an abnormal situation is detected, notifying the management personnel to intervene remotely to ensure the safe operation of the vehicle.

[0063] A method for controlling a motor of an electric vehicle, comprising:

[0064] Through sensor data collection, the current electric vehicle speed, steering angle, acceleration, ambient temperature, battery power and motor temperature data information are obtained;

[0065] Heating optimization is adopted to deploy heating devices on electric vehicles. The heating devices set thresholds based on real-time external environmental data. When the outdoor ambient temperature is lower than the threshold, the heating devices are activated to heat the vehicle motor to normal temperature.

[0066] The collected data is processed and filtered through intelligent algorithms, and the output power and parameters of the motor are adjusted according to real-time data using a closed-loop control algorithm;

[0067] Through the data collected by sensors in real time, the battery charging and discharging process is monitored and managed in real time, the battery energy is optimized and protected, and part of the functional energy is recovered and converted into electrical energy and stored in the battery when the electric vehicle brakes or decelerates;

[0068] Based on real-time data collection and monitoring of electric vehicles, the operating status of electric vehicles is uploaded to the central control system, which remotely compares the real-time data with the factory data of electric vehicles to diagnose faults, analyze and optimize;

[0069] By real-time monitoring of the operating status of electric vehicles, vehicle alarm prompts can be set. When responding to abnormal vehicle data or an accident, the alarm prompt will immediately send out an alarm message to prompt the central control management personnel and remotely intervene to handle the problem.

[0070] The heating device intelligently sets the threshold and starts the heating device based on the outdoor ambient temperature data collected in real time, ensuring that the motor reaches normal temperature operation in a low temperature environment, improving the starting performance and stability of the motor and extending the battery life; the data collected by the sensor is processed and filtered by an intelligent algorithm, and the closed-loop control algorithm adjusts the output power and parameters of the motor according to the real-time data to achieve precise control of the motor operation and improve the efficiency and energy efficiency of the power system; when braking or decelerating, the feedback function of the motor is used to convert part of the kinetic energy into electrical energy and store it in the battery, realizing energy recovery and reuse, extending the cruising range and improving energy utilization efficiency; by uploading the operating status of the electric vehicle to the central control system in real time, remote monitoring and diagnosis are achieved, problems are discovered and solved in a timely manner, the reliability and maintainability of the vehicle are improved, and maintenance costs are reduced; the car alarm prompt is set to immediately issue an alarm message when abnormal data is received or an accident occurs to prompt the central control management personnel to intervene remotely, ensuring the safety of the vehicle and passengers.

[0071] The method of acquiring the current electric vehicle speed, steering angle, acceleration, ambient temperature, battery power and motor temperature data information through sensor data collection is as follows:

[0072] The current real-time data information of the electric vehicle is obtained through the vehicle speed sensor, steering angle sensor, acceleration sensor, ambient temperature sensor, battery power sensor, and motor temperature sensor deployed in the electric vehicle.

[0073] The data information collected by various sensors can monitor the various status parameters of electric vehicles in real time, including vehicle speed, steering angle, acceleration, ambient temperature, battery power and motor temperature, so as to timely understand the vehicle's operating conditions; the real-time data information obtained can help the driver to grasp the vehicle status more accurately, perform safer and more efficient driving operations, and improve driving comfort and safety; by monitoring the changes in various parameters of electric vehicles, abnormal conditions of the vehicle can be discovered in time, and fault diagnosis and prevention can be carried out to avoid serious failures and extend the service life of the vehicle; by real-time monitoring of parameters such as battery power and motor temperature, energy usage can be optimized, energy utilization can be improved, cruising range can be extended, and energy consumption can be reduced; based on the real-time data information collected by sensors, intelligent control strategies can be formulated, such as adjusting the heating device according to the ambient temperature, adjusting the charging strategy according to the battery power, etc., which improves the intelligence level of the electric vehicle system.

[0074] Heating optimization is adopted to deploy heating devices on electric vehicles. The heating devices set thresholds according to real-time external environmental data. When the outdoor ambient temperature is lower than the threshold, the heating devices are started to heat the vehicle motor to normal temperature. The method is as follows:

[0075] According to the environmental temperature sensor, the external ambient temperature data of the vehicle is collected in real time, and a threshold is set according to the working requirements of the vehicle motor and the environmental conditions. When the ambient temperature is lower than the threshold, the heating device is started;

[0076] The ambient temperature data sensor is regularly tested and compared with the set threshold. After the heating device is started, the heating device is controlled to heat the motor according to the set heating curve to raise its temperature to the temperature range required for normal temperature operation;

[0077] Monitor the motor temperature in real time to ensure that the heating device does not exceed the heating safety range during the heating process. When the motor temperature reaches the set normal operating temperature, the heating device stops heating and enters standby mode.

[0078] By adjusting the heating device in real time according to the ambient temperature outside the vehicle, it can ensure that the electric vehicle can always maintain a suitable operating temperature range under different climatic conditions, thereby improving the performance and reliability of the vehicle; the heating device starts and stops intelligently according to the real-time ambient temperature data, and heats only when necessary, avoiding energy waste and reducing the impact on the environment, while also extending the range of the electric vehicle; by keeping the motor within the normal temperature operating range, the mechanical wear at startup can be reduced, and the driving stability and comfort of the electric vehicle can be improved; keeping the motor within the appropriate operating temperature range can reduce the risk of motor damage caused by excessive temperature and extend the service life of the motor; by regularly detecting the ambient temperature data and comparing it with the set threshold, as well as monitoring the motor temperature in real time and controlling the operation of the heating device, intelligent control of the heating device is achieved, thereby improving the intelligence level of the electric vehicle system.

[0079] The method of processing and filtering the collected data through intelligent algorithms and using closed-loop control algorithms to adjust the output power and parameters of the motor according to real-time data is as follows:

[0080] Use intelligent algorithms to process and filter the collected ambient temperature data to remove noise and instability;

[0081] Design a closed-loop control algorithm that uses real-time ambient temperature data as input and adjusts the motor's output power and parameters according to a preset control strategy;

[0082] According to the output result of the closed-loop control algorithm, the output power of the motor is adjusted. When the ambient temperature is lower than the threshold, the output power of the motor is increased, including adjusting the parameters of the motor, such as current limit and speed limit.

[0083] Using intelligent algorithms to process and filter the collected ambient temperature data can effectively remove noise and instability, ensure that the data used is accurate and reliable, and thus improve the performance and stability of the closed-loop control system; the closed-loop control algorithm is a method of adjusting the control system based on real-time feedback. By taking the ambient temperature data as input and combining it with the preset control strategy, the closed-loop control algorithm can monitor the ambient temperature changes in real time and adjust the output power and parameters of the motor to maintain the motor within a suitable working range; according to the output results of the closed-loop control algorithm, the output power and parameters of the motor can be dynamically adjusted, such as current limit, speed limit, etc. When the ambient temperature is lower than the threshold, the output power of the motor can be increased to ensure that the motor can operate normally in a low-temperature environment; by monitoring the ambient temperature in real time and dynamically adjusting the output power and parameters of the motor, the closed-loop control system can respond to environmental changes more accurately, improve the performance and stability of the system, and also enhance the adaptability of electric vehicles under various climatic conditions; the closed-loop control system can adjust the output power of the motor according to actual needs, avoiding unnecessary energy consumption, thereby saving energy and reducing the impact on the environment.

[0084] The method of real-time monitoring and management of the battery charging and discharging process through real-time data collected by sensors, optimizing the utilization and protection of battery energy, and recovering part of the functional energy when the electric vehicle brakes or decelerates and converting it into electrical energy and storing it in the battery is as follows:

[0085] According to the real-time collection of battery voltage, current and temperature by sensors, a real-time monitoring system is set up to monitor the battery status in real time, including charging status and discharging status;

[0086] During the charging process, the charging rate, charging cut-off voltage, SOC, and SOH parameters are controlled. During the discharging process, the discharge current and voltage are adjusted according to demand to prevent the battery from over-discharging.

[0087] When an electric vehicle brakes or decelerates, the braking energy recovery system is used to design a recovery control algorithm to monitor the vehicle's braking status and braking energy in real time. During the energy recovery process, the current and voltage of the recovered electrical energy are controlled to convert the recovered energy into electrical energy and store it in the battery.

[0088] By real-time monitoring of battery parameters such as voltage, current and temperature, as well as controlling the charge and discharge rate, cut-off voltage, SOC (State of Charge) and SOH (State of Health) parameters, it is possible to optimize the utilization and protection of battery energy, thereby extending the battery life and improving the efficiency of the battery system. Electric vehicles generate a large amount of kinetic energy when braking or decelerating. The brake energy recovery system can convert this kinetic energy into electrical energy and store it in the battery, thereby achieving energy reuse, which helps to improve the vehicle's energy utilization rate and reduce energy waste. By collecting various parameters of the battery and vehicle in real time through sensors and formulating control strategies based on real-time data, it is possible to achieve real-time monitoring and control of the battery and energy recovery system. This helps to detect problems in a timely manner and take measures to ensure the stable operation of the system; the design of the recovery control algorithm can adjust the current and voltage of the recovered energy in real time according to the vehicle's braking status and braking energy to ensure the stable conversion and storage of the recovered energy, which can maximize the efficiency of the recovered energy while protecting the battery from the effects of over-charging and over-discharging; through the optimal use of energy and braking energy recovery, the energy consumption of electric vehicles can be reduced, the pollution to the environment can be reduced, the goal of energy conservation and emission reduction can be achieved, and the requirements of sustainable development can be met.

[0089] Based on the real-time data collection and monitoring of electric vehicles, the operating status of electric vehicles is uploaded to the central control system. The central control system remotely compares the real-time data with the factory data of electric vehicles to diagnose faults and analyze and optimize the method as follows:

[0090] According to the real-time electric vehicle data collected by the sensor, the collected real-time data is uploaded to the central control system through the communication network;

[0091] After receiving the real-time data, the central control system compares and analyzes it with the factory data of the electric vehicle. Using the data analysis algorithm, the real-time data is compared with the factory data to identify anomalies or deviations, including battery charging and discharging characteristics and motor efficiency decline;

[0092] According to the results of comparative analysis, identify existing faults or optimization points, use fault diagnosis algorithms to locate and diagnose potential faults, and provide optimization suggestions;

[0093] After obtaining user permission, the central control system sends control instructions to the electric vehicle for remote control and adjustment. The remote control and adjustment include charging current, starting specific diagnostic procedures, and feeding back diagnostic results and optimization suggestions to users or relevant technicians.

[0094] By collecting various data of electric vehicles in real time, including battery status, motor efficiency, etc., these data are uploaded to the central control system, and the central control system compares and analyzes with the factory data of the electric vehicle to identify existing anomalies or deviations, such as abnormal battery charging and discharging characteristics or reduced motor efficiency, so as to achieve real-time monitoring and diagnosis of the vehicle's operating status; based on the results of the comparative analysis, the central control system can identify existing faults or optimization points, and use fault diagnosis algorithms to locate and diagnose, which helps to timely discover and solve potential fault problems, and provide optimization suggestions to improve vehicle performance and efficiency; with the user's permission, the central control system can send control instructions to the electric vehicle for remote control and adjustment, including adjusting the charging current, starting specific diagnostic programs, etc., to achieve remote control and management of the vehicle; the central control system will feedback the diagnostic results and optimization suggestions to the user or relevant technical personnel, so that they can understand the vehicle's operating status and existing problems in a timely manner, and take corresponding measures to deal with them.

[0095] By monitoring the running status of electric vehicles in real time, setting vehicle alarm prompts, the alarm prompts immediately send out alarm information to prompt the central control management personnel and remotely intervene in the processing when abnormal vehicle data is received or an accident occurs:

[0096] Set up algorithms to monitor the battery status, motor status, and vehicle speed of electric vehicles in real time, and define abnormal thresholds and conditions based on the real-time data and factory data of electric vehicles. When the parameters in operation are monitored to exceed the set normal range or show abnormal changes, an alarm is triggered;

[0097] When an alarm is triggered, the central control system immediately sends alarm information to relevant managers through App notifications, including alarm type and vehicle location information;

[0098] After receiving the alarm, the manager sends instructions to the vehicle to contact the owner according to the alarm information. After obtaining the user's permission or if there is no response within the time limit, the manager remotely accesses the real-time data of the electric vehicle to determine whether to dispatch a rescue vehicle;

[0099] When handling alarms, the central control system provides real-time feedback to managers and records detailed information about the alarm event, including triggering conditions, handling process, and results.

[0100] By setting up algorithms to monitor various parameters of electric vehicles in real time, such as battery status, motor status, and vehicle speed, and defining abnormal thresholds and conditions, an alarm is triggered when the monitored parameters exceed the set normal range or show abnormal changes, so as to timely discover and respond to abnormal conditions or accidents of the vehicle; when an alarm is triggered, the central control system immediately sends an alarm message to the relevant managers through App notification, including the alarm type and vehicle location information. After receiving the alarm, the managers can send instructions to the vehicle to contact the owner according to the alarm information, and after obtaining user permission or failing to respond after a timeout, remotely access the real-time data of the electric vehicle to determine whether it is necessary to dispatch a rescue vehicle or take other emergency measures; when handling the alarm, the central control system provides feedback to the managers in real time and records detailed information of the alarm event, including the triggering conditions, processing process, and results. This helps to track and record alarm events in a timely manner, providing a reference for subsequent analysis and improvement.

[0101] This embodiment also provides an electronic device, including a memory, a processor, and a computer program stored in the memory and executable on the processor. When the processor executes the program, an electric vehicle motor control system and control method as described above are implemented.

[0102] This embodiment also provides a computer-readable storage medium on which a computer program is stored. When the program is executed by a processor, an electric vehicle motor control system and a control method as described above are implemented.

[0103] Those skilled in the art can understand that all or part of the processes in the above-mentioned embodiment methods can be completed by instructing the relevant hardware through a computer program, and the computer program can be stored in a non-volatile computer-readable storage medium. When the computer program is executed, it can include the processes of the embodiments of the above-mentioned methods. Among them, any reference to memory, storage, database or other media used in the embodiments provided in this application may include non-volatile and / or volatile memory. Non-volatile memory may include read-only memory (ROM), programmable ROM (PROM), electrically programmable ROM (EPROM), electrically erasable programmable ROM (EEPROM) or flash memory. Volatile memory may include random access memory (RAM) or external cache memory. As an illustration and not limitation, RAM is available in many forms, such as static RAM (SRAM), dynamic RAM (DRAM), synchronous DRAM (SDRAM), double data rate SDRAM (DDRSDRAM), enhanced SDRAM (ESDRAM), synchronous link (Synchlink) DRAM (SLDRAM), memory bus (Rambus) direct RAM (RDRAM), direct memory bus dynamic RAM (DRDRAM), and memory bus dynamic RAM (RDRAM).

[0104] Those skilled in the art will clearly understand that for the sake of convenience and brevity of description, only the division of the above-mentioned functional units and modules is used as an example. In actual applications, the above-mentioned functions can be distributed and completed by different functional units and modules as needed, that is, the internal structure of the system can be divided into different functional units or modules to complete all or part of the functions described above.

[0105] The above embodiments of the present invention are not intended to limit the protection scope of the present invention, and the implementation modes of the present invention are not limited thereto. All other modifications, replacements or changes made to the above structures of the present invention based on the above contents of the present invention, in accordance with common technical knowledge and customary means in the art, without departing from the above basic technical ideas of the present invention, should fall within the protection scope of the present invention.

Claims

1. An electric vehicle motor control system, characterized in that: Included are: Sensor data acquisition module, used to collect real-time operation data of electric vehicles and real-time ambient temperature information data; The heating optimization module is used for heating in low-temperature winter environments. When the real-time ambient temperature is low, the heating device is started to the normal operating temperature of the electric vehicle motor; A data processing module is used to process and filter the collected data; The closed-loop control algorithm module is used to adjust the output power of the motor through the closed-loop control algorithm according to the data collected by the sensor, and adjust the speed and torque parameters of the motor according to the real-time situation of the vehicle; The battery energy management and recovery module is used to monitor and manage the battery charging and discharging process and protect the battery. When the electric vehicle is braking or decelerating, the motor control system converts part of the kinetic energy into electrical energy and stores it in the battery through the energy recovery function; Real-time monitoring and remote diagnosis module, used for fault diagnosis and protection functions, uploads the running status of the electric vehicle to the central control system in real time, and the central control system detects the real-time running status of the electric vehicle and diagnoses the faults of the system; The fault alarm prompt module is used to monitor electric vehicle data in real time and generate alarms by comparing the factory data. When abnormal electric vehicle conditions, parameters exceeding the set range or abnormal changes are detected, the alarm system is triggered and the central control system notifies the management personnel to intervene remotely. Combine sensor data acquisition module, heating optimization module, data processing module, closed-loop control algorithm module, battery energy management and recovery module, real-time monitoring and remote diagnosis module, and fault alarm prompt module to realize motor control of electric vehicles; The control method of the electric vehicle motor control system includes: Through sensor data collection, the current electric vehicle speed, steering angle, acceleration, ambient temperature, battery power and motor temperature data information are obtained; Heating optimization is adopted to deploy heating devices on electric vehicles. The heating devices set thresholds based on real-time external environmental data. When the outdoor ambient temperature is lower than the threshold, the heating devices are activated to heat the vehicle motor to normal temperature. The collected data is processed and filtered through intelligent algorithms, and the output power and parameters of the motor are adjusted according to real-time data using a closed-loop control algorithm; Through the data collected by sensors in real time, the battery charging and discharging process is monitored and managed in real time, the battery energy is optimized and protected, and part of the functional energy is recovered and converted into electrical energy and stored in the battery when the electric vehicle brakes or decelerates; Based on real-time data collection and monitoring of electric vehicles, the operating status of electric vehicles is uploaded to the central control system, which remotely compares the real-time data with the factory data of electric vehicles to diagnose faults and analyze and optimize; By monitoring the running status of electric vehicles in real time, the vehicle alarm prompts can be set. When abnormal vehicle data is received or an accident occurs, the alarm prompts will immediately send out alarm information to prompt the central control management personnel and remotely intervene to handle the problem. Heating optimization is adopted to deploy heating devices on electric vehicles. The heating devices set thresholds according to real-time external environmental data. When the outdoor ambient temperature is lower than the threshold, the heating devices are started to heat the vehicle motor to normal temperature. The method is as follows: According to the environmental temperature sensor, the external ambient temperature data of the vehicle is collected in real time, and a threshold is set according to the working requirements of the vehicle motor and the environmental conditions. When the ambient temperature is lower than the threshold, the heating device is started; The ambient temperature data sensor is regularly tested and compared with the set threshold. After the heating device is started, the heating device is controlled to heat the motor according to the set heating curve to raise its temperature to the temperature range required for normal temperature operation; Monitor the motor temperature in real time to ensure that the heating device does not exceed the heating safety range during the heating process. When the motor temperature reaches the set normal operating temperature, the heating device stops heating and enters standby mode.

2. The electric vehicle motor control system according to claim 1, characterized in that: The method of acquiring the current electric vehicle speed, steering angle, acceleration, ambient temperature, battery power and motor temperature data information through sensor data collection is as follows: The current real-time data information of the electric vehicle is obtained through the vehicle speed sensor, steering angle sensor, acceleration sensor, ambient temperature sensor, battery power sensor, and motor temperature sensor deployed in the electric vehicle.

3. The electric vehicle motor control system according to claim 1, characterized in that: The method of processing and filtering the collected data through intelligent algorithms and using closed-loop control algorithms to adjust the output power and parameters of the motor according to real-time data is as follows: Use intelligent algorithms to process and filter the collected ambient temperature data to remove noise and instability; Design a closed-loop control algorithm that uses real-time ambient temperature data as input and adjusts the motor's output power and parameters according to a preset control strategy; According to the output result of the closed-loop control algorithm, the output power of the motor is adjusted. When the ambient temperature is lower than the threshold, the output power of the motor is increased, including adjusting the parameters of the motor, such as current limit and speed limit.

4. The electric vehicle motor control system according to claim 3, characterized in that: The method of real-time monitoring and management of the battery charging and discharging process through real-time data collected by sensors, optimizing the utilization and protection of battery energy, and recovering part of the functional energy when the electric vehicle brakes or decelerates and converting it into electrical energy and storing it in the battery is as follows: According to the real-time collection of battery voltage, current and temperature by sensors, a real-time monitoring system is set up to monitor the battery status in real time, including charging status and discharging status; During the charging process, the charging rate, charging cut-off voltage, SOC, and SOH parameters are controlled. During the discharging process, the discharge current and voltage are adjusted according to demand to prevent the battery from over-discharging. When an electric vehicle brakes or decelerates, the braking energy recovery system is used to design a recovery control algorithm to monitor the vehicle's braking status and braking energy in real time. During the energy recovery process, the current and voltage of the recovered electrical energy are controlled to convert the recovered energy into electrical energy and store it in the battery.

5. The electric vehicle motor control system according to claim 4, characterized in that: Based on the real-time data collection and monitoring of electric vehicles, the operating status of electric vehicles is uploaded to the central control system. The central control system remotely compares the real-time data with the factory data of electric vehicles to diagnose faults and analyze and optimize the method as follows: According to the real-time electric vehicle data collected by the sensor, the collected real-time data is uploaded to the central control system through the communication network; After receiving the real-time data, the central control system compares and analyzes it with the factory data of the electric vehicle. Using the data analysis algorithm, the real-time data is compared with the factory data to identify anomalies or deviations, including battery charging and discharging characteristics and motor efficiency decline; According to the results of comparative analysis, identify existing faults or optimization points, use fault diagnosis algorithms to locate and diagnose potential faults, and provide optimization suggestions; After obtaining user permission, the central control system sends control instructions to the electric vehicle for remote control and adjustment. The remote control and adjustment include charging current, starting specific diagnostic procedures, and feeding back diagnostic results and optimization suggestions to users or relevant technicians.

6. The electric vehicle motor control system according to claim 5, characterized in that: By monitoring the running status of electric vehicles in real time, setting vehicle alarm prompts, the alarm prompts immediately send out alarm information to prompt the central control management personnel and remotely intervene in the processing when abnormal vehicle data is received or an accident occurs: Set up algorithms to monitor the battery status, motor status, and vehicle speed of electric vehicles in real time, and define abnormal thresholds and conditions based on the real-time data and factory data of electric vehicles. When the parameters in operation are monitored to exceed the set normal range or show abnormal changes, an alarm is triggered; When an alarm is triggered, the central control system immediately sends alarm information to relevant managers through App notifications, including alarm type and vehicle location information; After receiving the alarm, the manager sends instructions to the vehicle to contact the owner according to the alarm information. After obtaining the user's permission or if there is no response within the time limit, the manager remotely accesses the real-time data of the electric vehicle to determine whether to dispatch a rescue vehicle; When handling alarms, the central control system provides real-time feedback to managers and records detailed information about the alarm event, including triggering conditions, handling process, and results.

7. An electronic device, characterized in that: The invention comprises a memory, a processor and a computer program stored in the memory and executable on the processor. When the processor executes the program, the control method of the electric vehicle motor control system as claimed in claim 1 is implemented.

8. A computer-readable storage medium having a computer program stored thereon, characterized in that: When the program is executed by a processor, the control method of the electric vehicle motor control system as claimed in claim 1 is implemented.

Images