A vehicle energy distribution recovery method and device, electronic equipment and storage medium

Abstract

The application discloses a vehicle energy distribution and recovery method and device, electronic equipment and a storage medium, wherein the vehicle energy distribution and recovery method comprises the following steps: S1. collecting tire pressure data and load sensor data; S2. entering the collected tire pressure data and load sensor data into an algorithm model to obtain the current vehicle load and determine whether the current vehicle load is higher than a first threshold of a preset overload; S3. determining whether the current vehicle load is higher than a second threshold of the preset overload; and S4. when the vehicle load does not reach the first threshold, making the motor output a first torque value; when the vehicle load is between the first threshold and the second threshold, making the motor output a second torque value; and when the vehicle load exceeds the second threshold, sending a motor torque output signal to close by the vehicle controller to prohibit the vehicle from running. The application can solve the problem that the current vehicle overload and tire burst lead to traffic accidents, and can also perform energy distribution and recovery, thereby achieving energy-saving control.

Description

TECHNICAL FIELD

[0001] The present application relates to the technical field of vehicle online monitoring, in particular to a vehicle energy distribution and recovery method and device, an electronic equipment and a storage medium. BACKGROUND

[0002] Currently, only tire pressure monitoring is available on vehicles, and the current vehicle load cannot be calculated from the tire pressure monitoring data to perform energy distribution and recovery. Meanwhile, the vehicle driving operation cannot be controlled according to the current vehicle load, tire pressure temperature rise and other vehicle condition information. When the tire pressure of the vehicle is too high or too low, the temperature is too high, or the vehicle is overloaded, etc., the vehicle may lose control due to tire burst, etc., resulting in traffic accidents.

[0003] Chinese patent document CN112208273A discloses an intelligent tire state detection device and a vehicle control method and equipment based thereon. The device includes a tire body state sensing module, a tire environment state sensing module, a power supply module and a data interaction module. The tire body state sensing module is used to collect the state parameters of the tire during vehicle driving. The tire environment state sensing module is used to collect the state parameters of the environment in which the tire is located during vehicle driving. The data interaction module is used to send the data collected by the tire body state sensing module and the tire environment state sensing module to the vehicle ECU for vehicle control. The power supply module is used to provide working power for the tire body state sensing module, the tire environment state sensing module and the data interaction module. The device can monitor the conditions of the tire body and the road in real time and send them to the intelligent vehicle decision system for vehicle control, thereby improving the safety and comfort of the intelligent vehicle.

[0004] Chinese patent document CN115206074A discloses a mine dump truck alarm method and system and a computer readable storage medium. The method includes: obtaining the target parameter information of the mine dump truck, the target parameter information including tire parameter information and a stack spring deformation variable, and the tire parameter information including the internal tire pressure; inputting the internal tire pressure and the stack spring deformation variable into a pre-trained neural network model to obtain a predicted load value of the mine dump truck output by the neural network model; and performing overload alarm detection on the mine dump truck according to the predicted load value and the rated load value of the mine dump truck, and outputting an overload alarm detection result. In this way, the stack spring deformation and the tire pressure of the mine dump truck are fused together by a neural network algorithm to calculate the real-time load of the mine dump truck, improve the dynamic measurement accuracy of the vehicle load, and timely output the overload alarm detection result of the mine dump truck, thereby reducing the probability of accidents and improving the safety and economic security of the vehicle.

[0005] Chinese patent document CN112793430A discloses a dual-shaft all-wheel distributed drive electric vehicle torque distribution control method, comprising the following steps: step 1: determining the current electric vehicle working mode according to different working conditions and driver demand; step 2: establishing a motor energy loss model to solve the switching point of single-shaft drive and torque average distribution; step 3: establishing a handling stability controller based on the model predictive control theory with the front wheel active angle and the vehicle yaw moment as the control variables; step 4: establishing a segmented linear magic tire model and a simplified vehicle model; step 5: according to the current working mode, unifying the four-wheel distributed drive electric vehicle dynamics model and the energy loss model to establish a multi-objective optimization torque distribution controller to reasonably distribute the driver demand torque. The present application can improve the handling stability of the vehicle under complex working conditions, solve the problem of instability on low adhesion road, reduce energy loss, and realize the optimal torque distribution control effect of multi-objective optimization.

[0006] Although the prior art involves data collection and monitoring, the data includes tire parameter information and laminated spring deformation, the tire parameter information includes tire internal air pressure, and then feedback ECU control or overload alarm (CN112208273A, CN115206074A); the prior art also involves the unification of the energy loss model and the four-wheel distributed drive electric vehicle dynamics model, and the establishment of a multi-objective optimization torque distribution controller to reasonably distribute the driver demand torque (CN112793430A). However, the prior art does not involve the distribution and recovery of vehicle energy.

[0007] Therefore, the present application is proposed. SUMMARY

[0008] Therefore, in order to solve the above technical problems, the present application provides a vehicle energy distribution and recovery method, device, electronic equipment and storage medium, which can solve the problem of traffic accidents caused by current vehicle overload and tire burst, and can also distribute and recover energy for energy-saving control.

[0009] The technical scheme adopted is as follows:

[0010] In a first aspect, the present application provides a vehicle energy distribution and recovery method, comprising the following steps:

[0011] S1. Collecting tire pressure data and load sensor data;

[0012] S2. The collected tire pressure data and load sensor data are input into an algorithm model to obtain the current vehicle load and determine whether the current vehicle load is higher than the first threshold of the preset overload;

[0013] S3. Determine whether the current vehicle load is higher than the second threshold of the preset overload;

[0014] S4. According to the vehicle load, the current vehicle state is determined, when the vehicle load does not reach the first threshold value, the vehicle controller sends a signal to the motor controller, so that the motor outputs the first torque value; when the vehicle load is between the first threshold value and the second threshold value, the vehicle controller sends a signal to the motor controller, so that the motor outputs the second torque value; when it is detected that the vehicle load decreases to not reach the first threshold value, the motor output is adjusted to the first torque value, so as to realize the distribution and recovery of motor energy; when the vehicle load exceeds the second threshold value, the vehicle controller sends a signal to close the motor torque output, and prohibits the vehicle from driving.

[0015] Further, in S2, the algorithm model is: F=(V-Vr) / K;

[0016] Wherein, F represents the current vehicle load; V represents the voltage value collected by the tire pressure sensor; Vr represents the voltage value of the tire pressure sensor under no load condition; K represents the sensitivity coefficient of the tire pressure sensor;

[0017] And the load weight N=output voltage value / sensitivity;

[0018] Wherein, the output voltage value is the output voltage value of the load sensor; the sensitivity is the load weight corresponding to each unit signal amount, and the unit is kg / mV.

[0019] Further, in S4, the vehicle controller judges the current load state by comparing the difference between F and N,

[0020] When F0F<F1, N=50%MAP;

[0021] When F1F2, the vehicle controller sends a signal to the motor controller to output N=80%MAP;

[0022] When F>F2, the vehicle controller sends a torque output signal to the motor controller, and sends an alarm signal to the instrument panel, prohibits the vehicle from driving, and N=0;

[0023] Wherein F is the current vehicle load; F0 is the empty load value; F1 is the first threshold value of the preset overload; F2 is the second threshold value of the preset overload; N is the output torque value; MAP is the lookup table brake torque value.

[0024] Further, in S4, when the vehicle load does not reach the first threshold value, the vehicle controller sends a signal to the motor controller, so that the motor outputs the first torque value, and reduces the vehicle speed.

[0025] Further, in S4, when the vehicle load exceeds the second threshold value, the vehicle controller sends a signal to close the motor torque output, prohibits the vehicle from driving, and sends an alarm signal to the alarm to alarm.

[0026] In a second aspect, the present application provides a vehicle energy distribution and recovery device, comprising:

[0027] a tire pressure monitoring sensor for collecting tire pressure data;

[0028] a load sensor for collecting load weight data;

[0029] an algorithm module for calculating the current vehicle load by inputting the collected tire pressure data and load sensor data into the algorithm module;

[0030] a storage module for storing a first threshold value and a second threshold value of the preset overload;

[0031] a vehicle controller, a motor controller and a motor for determining the current vehicle state according to the vehicle load and adjusting the control, when the vehicle load does not reach the first threshold value, the vehicle controller sends a signal to the motor controller to make the motor output a first torque value; when the vehicle load is between the first threshold value and the second threshold value, the vehicle controller sends a signal to the motor controller to make the motor output a second torque value; when it is detected that the vehicle load decreases to not reach the first threshold value, the motor output is adjusted to the first torque value, realizing the distribution and recovery of motor energy; when the vehicle load exceeds the second threshold value, the vehicle controller sends a signal to close the motor torque output, prohibiting the vehicle from driving.

[0032] Further, the vehicle energy distribution and recovery device further comprises:

[0033] an alarm for sending an alarm signal to the alarm when the vehicle load exceeds the second threshold value.

[0034] Further, the alarm is installed on the instrument panel.

[0035] In a third aspect, the present application provides an electronic device, comprising a processor, a communication interface, a memory and a communication bus, wherein the processor, the communication interface and the memory complete the communication among each other through the communication bus, wherein,

[0036] the memory is configured to store a computer program;

[0037] the processor is configured to execute the steps involved in the vehicle energy distribution and recovery method according to any one of the above-mentioned schemes by running the computer program stored on the memory.

[0038] In a fourth aspect, the present application provides a computer-readable storage medium, wherein the storage medium stores a computer program, and the computer program is configured to execute the steps involved in the vehicle energy distribution and recovery method according to any one of the above-mentioned schemes when running.

[0039] The application has the beneficial effects that:

[0040] The whole vehicle controller increases the processing and prediction of the tire pressure monitoring data, can accurately measure the self-load of the vehicle in real time, realizes the energy recovery under different load conditions of the vehicle through an algorithm model, and plays a great role in vehicle monitoring, energy saving control, tire pressure safety prevention and the like. The problems of current overloading and tire burst leading to traffic accidents are solved, and energy distribution and recovery are performed, thereby energy saving control is performed. BRIEF DESCRIPTION OF DRAWINGS

[0041] In order to more clearly illustrate the technical solutions in the embodiments of the present application, the drawings needed to be used in the embodiment description will be briefly introduced. Obviously, the drawings in the following description are only embodiments of the present application, and other drawings can be obtained by those skilled in the art without creative labor.

[0042] Figure 1 A flowchart of a vehicle energy distribution and recovery method according to Embodiment 1 of the present application.

[0043] Figure 2 A structural diagram of a vehicle energy distribution and recovery device according to Embodiment 2 of the present application.

[0044] Figure 3 A structural diagram of an electronic device according to Embodiment 3 of the present application. DETAILED DESCRIPTION

[0045] The technical solutions in the embodiments of the present application will be described clearly and completely with reference to the drawings in the embodiments of the present application. Obviously, the described embodiments are only part of the embodiments of the present application, but not all the embodiments. Based on the embodiments in the present application, all other embodiments obtained by those skilled in the art without creative labor are within the scope of protection of the present application.

[0046] Embodiment 1

[0047] In combination with the drawings, Figure 1 The vehicle energy distribution and recovery method according to the present embodiment includes the following steps:

[0048] S1. Collecting tire pressure data and load sensor data; judging whether the tire pressure data and the load sensor data are too high, too low or overloaded, if not, the vehicle is normally driven, if yes, entering S2.

[0049] Generally, the tire pressure monitoring sensor can be used to monitor and collect the data in real time. The direct tire pressure monitoring sensor can be selected, which is installed in each tire to directly measure the tire pressure, and then the pressure information is transmitted from the tire interior to the receiver end by using the wireless transmitter, so as to realize the collection of the tire pressure data and display the current tire pressure data.

[0050] The load sensor is actually a device for converting a mass signal into a measurable electrical signal output. The load sensor works according to the principle of inductance effect. The displacement amount caused by the deformation of the steel plate spring due to the weight change is measured, and the related circuit is converted into a voltage output, so as to realize the collection of the load sensor data.

[0051] S2. The collected tire pressure data and load sensor data are input into an algorithm model to obtain the current vehicle load and determine whether the current vehicle load is higher than the first threshold of the preset overload.

[0052] As a specific embodiment, the algorithm model of the embodiment has two, one of which is: F = (V-Vr) / K;

[0053] Wherein, F represents the current vehicle load, that is, the load size; V represents the voltage value collected by the tire pressure sensor; Vr represents the voltage value of the tire pressure sensor under the condition of no load; K represents the sensitivity coefficient of the tire pressure sensor;

[0054] When the vehicle is not loaded, the voltage value collected by the tire pressure sensor is Vr. As the vehicle starts to load, the deformation of the tire will cause the change of the internal air pressure, so that the voltage value V collected by the tire pressure sensor changes. The load size F can be calculated by subtracting the voltage value V collected under the condition of no load from the voltage value V collected under the condition of no load, and then dividing by the sensitivity coefficient K of the tire pressure sensor.

[0055] And the other is: load weight N = output voltage value / sensitivity;

[0056] Wherein, the output voltage value is the output voltage value of the load sensor; the sensitivity is the load weight corresponding to each unit signal amount, and the unit is kg / mV.

[0057] S3. Determine whether the current vehicle load is higher than the second threshold of the preset overload;

[0058] Wherein, the first threshold and the second threshold are both preset overload weight values. The second threshold is a higher weight value than the first threshold. The preset is a pre-setting, and the two threshold values can be pre-set according to the safety performance of the actual vehicle.

[0059] S4. According to the vehicle load, the current vehicle state is judged, when the vehicle load does not reach the first threshold value, the vehicle controller sends a signal to the motor controller, so that the motor outputs the first torque value, and the vehicle speed is reduced; when the vehicle load is between the first threshold value and the second threshold value, the vehicle controller sends a signal to the motor controller, so that the motor outputs the second torque value; when it is detected that the vehicle load is reduced to not reach the first threshold value, the motor output is adjusted to the first torque value, so that the energy of the motor is distributed and recovered; when the vehicle load exceeds the second threshold value, the vehicle controller sends a signal to stop the torque output of the motor, prohibits the vehicle from driving, and sends an alarm signal to the alarm to alarm.

[0060] As a specific embodiment, the vehicle controller judges the current load state by comparing the difference between F and N.

[0061] When F0≤F<F1, N=50%MAP;

[0062] When F1≤F≤F2, the vehicle controller sends the motor controller to output N=80%MAP;

[0063] When F>F2, the vehicle controller sends a stop torque output signal to the motor controller, and sends an alarm signal to the instrument panel, prohibits the vehicle from driving, and N=0;

[0064] Wherein F is the current vehicle load; F0 is the empty load value; F1 is the first threshold value of the preset overload; F2 is the second threshold value of the preset overload; N is the output torque value; MAP is the lookup table brake torque value.

[0065] When the tire pressure is too high or too low and overloaded (overloaded), the tire rolling resistance is increased, the energy consumption is increased, and the burden of the vehicle damping system is increased, and the core algorithm model and the control output torque curve of the vehicle controller are monitored to realize the optimal energy consumption output, which can prolong the tire life and reduce the suspension system wear.

[0066] The energy distribution and recovery efficiency of the present application can be mainly through the following aspects:

[0067] 1. According to the load threshold value monitored by the tire pressure, the proportion of front and rear wheel braking force and motor braking force is distributed, the motor participates in braking, and the energy is recovered. Mainly according to the grade of the load threshold value, the proportion of motor braking and friction braking and front and rear wheel friction is reasonably distributed, and the motor is braked as much as possible when the vehicle is empty and lightly loaded, so that more energy can be recovered. That is, when the load changes are detected, the output torque size is adjusted in time, so that the energy of the motor is distributed and recovered.

[0068] The embodiment establishes a system for reasonably allocating the proportion of motor braking and friction braking and front and rear wheel friction according to the load threshold level, and converts the kinetic energy of the motor vehicle into electrical energy for storage and recycling through the control of the motor participation braking, so as to realize the recycling and reuse of energy.

[0069] In short, during braking, the kinetic energy of the motor vehicle is converted into electrical energy for storage and recycling through the vehicle controller and the motor controller.

[0070] 2. Control of mechanical braking and motor regenerative braking in load mode to ensure the safety and comfort of vehicle driving and improve the energy recovery efficiency during braking. The torque control strategy during regenerative braking is adjusted when the load changes. Through model analysis, modeling simulation, verification, and implementation of the designed system function, the braking torque output control strategy is monitored to improve the braking recovery efficiency.

[0071] The main implementation way to improve the braking energy recovery efficiency is to ensure that the motor works in the high efficiency interval, and to control the torque output of the motor to work in the constant power and constant torque modes to achieve the optimal energy distribution under the condition of not exceeding the maximum reverse drag torque of the rear axle.

[0072] 3. Adjust and divide according to the braking torque MAP. Due to the participation of the motor in braking and the judgment of the vehicle load, the safety factor of the vehicle is improved.

[0073] The motor MAP mainly reflects the efficiency distribution of the motor under different speeds and torques. In simple terms, it is an efficiency distribution graph. The lines are relatively dense in positions with similar efficiency values; on the contrary, the lines are relatively large in positions with large efficiency differences.

[0074] The MAP is drawn by inputting test points into the computer using MATLAB software. The efficiency value is connected according to the law, and there is a color difference on the graph according to the efficiency value, so it is also called a cloud chart.

[0075] Embodiment 2

[0076] For reference, see Figure 2 The vehicle energy allocation and recycling device of the embodiment includes a tire pressure monitoring sensor 1, a load sensor 2, an algorithm module 3, a storage module 4, a vehicle controller 5, a motor controller 6, and a motor 7.

[0077] The tire pressure monitoring sensor 1 is used to collect tire pressure data.

[0078] The load sensor 2 is used to collect load data.

[0079] an algorithm module 3 for calculating the collected tire pressure data and load sensor data into the algorithm module to obtain the current vehicle load;

[0080] a storage module 4 for storing the first threshold value and the second threshold value of the preset overload;

[0081] a vehicle control unit 5, a motor controller 6 and a motor 7 for determining the current vehicle state according to the vehicle load and adjusting the control, when the vehicle load does not reach the first threshold value, the vehicle control unit 5 sends a signal to the motor controller 6, so that the motor 7 outputs a first torque value; when the vehicle load is between the first threshold value and the second threshold value, the vehicle control unit 5 sends a signal to the motor controller 6, so that the motor 7 outputs a second torque value; when it is detected that the vehicle load decreases to not reach the first threshold value, the motor output is adjusted to the first torque value, realizing the distribution and recovery of motor energy; when the vehicle load exceeds the second threshold value, the vehicle control unit sends a signal to close the motor torque output, prohibiting the vehicle from driving.

[0082] The tire pressure monitoring sensor is installed on the vehicle tire, and the load sensor is installed on the vehicle spring suspension rigid plate. The algorithm module and the storage module can be independent of a unit, or can be integrated on the vehicle control unit.

[0083] The vehicle control unit (VCU for short) is installed at a suitable position on the vehicle. The vehicle control unit collects the pressure size, load and other related information returned back, so as to realize the acceleration pre-control of the automobile driving through the core algorithm module, and realize the real-time control of the driving speed of the vehicle, according to different loads to send different torque output signals to the motor controller, so as to realize the distribution and recovery of motor energy.

[0084] In this embodiment, the following can also be further realized:

[0085] Energy saving: when the tire pressure is insufficient or overloaded, the tire rolling resistance will increase, the energy consumption will increase, and through monitoring, the optimal energy consumption output can be realized, so as to achieve the purpose of energy saving.

[0086] Reducing the wear of parts: high or low tire pressure or overload will accelerate the uneven wear of the tire, thereby reducing the shock absorption effect of the tire itself, and further increasing the burden of the vehicle shock absorption system, so that correct tire pressure and load can be ensured, and the service life of the tire and the wear of the suspension system can be prolonged.

[0087] Embodiment 3

[0088] An electronic device according to the embodiment, as shown in Figure 3As shown, it includes a processor 10, a communication interface 20, a memory 30 and a communication bus 40, wherein the processor 10, the communication interface 20 and the memory 30 complete the communication among each other through the communication bus 40, wherein the memory 30 is configured to store a computer program; the processor 10 is configured to execute the steps involved in the vehicle energy allocation recovery method described in Embodiment 1 by running the computer program stored on the memory.

[0089] The communication bus can be a PCI (Peripheral Component Interconnect) bus or an EISA (Extended Industry Standard Architecture) bus.

[0090] The communication interface is configured to communicate between the electronic device and other devices. The memory can include a RAM and can also include a non-volatile memory. The processor can be a general-purpose processor such as a DSP, a CPU, etc.

[0091] Embodiment 4

[0092] The computer readable storage medium of the embodiment stores a computer program, wherein the computer program is configured to execute the steps involved in the vehicle energy allocation recovery method described in Embodiment 1 when running.

[0093] The computer readable storage medium can be a FRAM (ferromagnetic random access memory), a ROM (Read Only Memory), a PROM (Programmable Read-Only Memory), an EPROM (Erasable Programmable Read-Only Memory), an EEPROM (Electrically Erasable Programmable Read-Only Memory), a Flash Memory, a magnetic surface memory, an optical disc, a CD-ROM (Compact Disc Read-Only Memory) or the like. It can also be various devices including one or any combination of the above memories, such as a mobile phone, a computer, a tablet device, a personal digital assistant, etc. The computer program stored in the computer readable storage medium is run by the processor to realize the steps involved in the vehicle energy allocation recovery method described in Embodiment 1, such asFigure 1 the control logic flow.

[0094] The above detailed description merely illustrates possible non-limiting specific embodiments of the application. It is not intended to limit the scope of the application, which is defined by the claims.

Claims

1. A vehicle energy distribution and recovery method, characterized in that: It includes the following steps: S1. Collect tire pressure data and load sensor data; S2. Input the collected tire pressure data and load sensor data into the algorithm model to obtain the current vehicle load, and determine whether the current vehicle load is higher than the first threshold of the preset overload; S3. Determine whether the current vehicle load is higher than the second threshold of the preset overload; S4. Determine the current vehicle state according to the vehicle load. When the vehicle load does not reach the first threshold, the vehicle control unit sends a signal to the motor control unit to make the motor output the first torque value; when the vehicle load is between the first threshold and the second threshold, the vehicle control unit sends a signal to the motor control unit to make the motor output the second torque value; when it is detected that the vehicle load decreases to less than the first threshold, adjust the motor to output the first torque value to achieve the distribution and recovery of motor energy; When the vehicle load exceeds the second threshold, the vehicle control unit sends a signal to shut down the motor torque output and prohibits the vehicle from driving.

2. The vehicle energy distribution and recovery method according to claim 1, characterized in that: In S2, the algorithm model is: F = (V - Vr) / K; where, F represents the current vehicle load; V represents the voltage value collected by the tire pressure sensor: Vr represents the tire pressure sensor voltage value under no-load condition; K represents the sensitivity coefficient of the tire pressure sensor; and the load weight N = output voltage value / sensitivity; where, the output voltage value is the output voltage value of the load sensor; the sensitivity is the load weight corresponding to each unit signal quantity, and the unit is kg / mV.

3. The vehicle energy distribution and recovery method according to claim 2, characterized in that: In S4, the vehicle control unit judges the current load state by comparing the difference between F and N, when F0 ≤ F < F1, N = 50% MAP; when F1 ≤ F ≤ F2, the vehicle control unit sends N = 80% MAP to the motor control unit for output; when F > F2, the vehicle control unit sends a signal to stop the torque output to the motor control unit, and at the same time sends an alarm signal to the dashboard to prohibit the vehicle from driving, and N = 0; where F is the current vehicle load; F0 is the no-load value; F1 is the first threshold of the preset overload; F2 is the second threshold of the preset overload; N is the output torque value; MAP is the look-up table braking torque value.

4. The vehicle energy distribution and recovery method according to claim 1, characterized in that: In S4, when the vehicle load does not reach the first threshold, the vehicle control unit sends a signal to the motor control unit to make the motor output the first torque value and reduce the vehicle speed at the same time.

5. The vehicle energy distribution and recovery method according to claim 1, characterized in that: In S4, when the vehicle load exceeds the second threshold, the vehicle control unit sends a signal to shut down the motor torque output, prohibits the vehicle from driving, and sends an alarm signal to the alarm for alarming.

6. A vehicle energy distribution and recovery device, characterized in that: It includes: A tire pressure monitoring sensor, which is used to collect tire pressure data; A load sensor, which is used to collect load weight data; An algorithm module, which is used to input the collected tire pressure data and load sensor data into the algorithm module for calculation to obtain the current vehicle load; A storage module, which is used to store the first threshold and the second threshold of the preset overload; The vehicle controller, motor controller, and motor are configured to determine the current vehicle state and adjust control based on the vehicle weight. When the vehicle weight does not reach a first threshold, the vehicle controller sends a signal to the motor controller to cause the motor to output a first torque value. When the vehicle weight is between the first and second thresholds, the vehicle controller sends a signal to the motor controller to cause the motor to output a second torque value. When it is detected that the vehicle weight has decreased to below the first threshold, the motor is adjusted to output the first torque value, thereby achieving energy distribution and recovery of the motor. When the vehicle weight exceeds the second threshold, the vehicle controller sends a signal to shut down the motor torque output, prohibiting the vehicle from traveling.

7. The vehicle energy distribution and recovery device according to claim 6, characterized in that: Also includes: The alarm is used to send an alarm signal to the alarm when the vehicle load weight exceeds a second threshold value.

8. The vehicle energy distribution and recovery device according to claim 7, characterized in that: The alarm is installed on the instrument panel.

9. An electronic device comprising a processor, a communication interface, a memory and a communication bus, wherein: The processor, the communication interface and the memory communicate with each other via the communication bus, wherein: The memory is used to store computer programs; The processor is configured to execute the steps involved in the vehicle energy distribution and recovery method according to any one of claims 1 to 5 by running the computer program stored in the memory.

10. A computer-readable storage medium, characterized in that: The storage medium stores a computer program, wherein the computer program is configured to execute the steps involved in the vehicle energy distribution and recovery method according to any one of claims 1 to 5 when running.

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