A wind and solar power generation system for new energy vehicles

Abstract

The application discloses a wind energy and solar energy power generation system of a new energy automobile, wherein a central controller of the new energy automobile is electrically connected with a wind power generation system, a solar energy power generation system, a main battery charging module, a backup battery charging module and a battery management system; the main battery charging module is electrically connected with a power battery of the new energy automobile; and the backup battery charging module is electrically connected with an air conditioning system of the new energy automobile.A wind energy and solar energy power generation method of a new energy automobile is provided, and the following steps are executed: if current illumination intensity is higher than a first preset high-position illumination threshold value and environmental wind speed is higher than a first preset high-position wind speed threshold value, the wind power generation system is used to generate electricity; and if current illumination intensity is lower than a second preset low-position illumination threshold value and environmental wind speed is higher than a second preset low-position wind speed threshold value, the solar energy power generation system is used to generate electricity.The application does not depend on external charging piles, has high reliability, low maintenance cost, is suitable for charging demands under various severe weather conditions, and effectively reduces the burden of new energy automobiles on urban power grids.

Description

TECHNICAL FIELD

[0001] The application relates to a wind energy and solar energy power generation system of a new energy vehicle and belongs to the technical field of new energy vehicle energy management. BACKGROUND

[0002] With the popularization of new energy vehicles, although the environmental pollution problem is solved to a certain extent, the problem of sharp consumption of electric energy is also brought. The endurance mileage is a problem that people have been concerned about, and the endurance mileage of the current new energy vehicle has not reached the expectation. Even if a charging pile is found on the road, the long charging time still brings inconvenience. In winter, the power consumption of the air conditioner is an important factor affecting the endurance mileage of the vehicle. Purely converting electric energy into heat energy makes the efficiency of the whole system very low. Under the premise that the electric quantity is not enough to support a long mileage, the endurance capability of the vehicle is greatly reduced.

[0003] In recent years, there are many measures to optimize the endurance problem of new energy vehicles. There are many ways to use renewable energy or adjust the form of storage battery to prolong the endurance mileage of the vehicle. Among them, solar energy as an inexhaustible energy source, the maturity of its power generation technology and the reduction of its cost make the application of solar energy to new energy vehicles become an important development direction. However, the existing solar vehicle body power generation system has low utilization rate of light energy in the environment around the vehicle, low power generation power, and fails to fully consider the characteristics of each part of the solar vehicle body power generation to match the optimal power generation power, which affects the overall power generation efficiency. SUMMARY

[0004] The technical problem to be solved by the application is to overcome the defects of the prior art and provide a wind energy and solar energy power generation system of a new energy vehicle. Renewable energy including wind energy and solar energy on the way is reasonably converted into electric energy. Real-time wind speed monitoring and intelligent adjustment mechanism are arranged to accurately control the height of the wind turbine, improve the wind power generation efficiency, solve the problems of endurance and long charging time to a certain extent, and reduce the dependence of new energy vehicles on urban power grids. On the basis of the total battery, a special air conditioner battery is added, so that the total battery is used to start the vehicle, and the air conditioner battery is used to start the air conditioner, so that the problem of excessive energy consumption of the air conditioner affecting the endurance mileage is solved.

[0005] Preferably, the application provides a wind energy and solar energy power generation system of a new energy vehicle, which comprises a wind power generation system, a solar power generation system, a main battery charging module, a backup battery charging module and a battery management system. The central controller of the new energy vehicle is electrically connected with the wind power generation system, the solar power generation system, the main battery charging module, the backup battery charging module and the battery management system. The main battery charging module is electrically connected with the power battery of the new energy vehicle, and the backup battery charging module is electrically connected with the air conditioning system of the new energy vehicle.

[0006] Preferably, the wind power generation system comprises a wind power generator, a wind speed sensor, a wind wheel, a wind energy lifting device for adjusting the height of the wind wheel, and an intelligent controller, the wind power generator and the wind energy lifting device are arranged on the top of the vehicle body of the new energy vehicle, the wind wheel is installed on the wind wheel lifting device, the wind speed sensor is arranged on the vehicle body of the new energy vehicle, and the intelligent controller is electrically connected with the wind power generator, the wind speed sensor and the wind energy lifting device.

[0007] Preferably, the solar power generation system comprises a solar cell panel, a solar controller and a photovoltaic panel, the solar cell panel is arranged in a preset high-temperature area of the instrument panel of the new energy vehicle, and the solar controller is electrically connected with the photovoltaic panel.

[0008] Preferably, the main battery charging module and the standby battery charging module each comprise a battery, a charging controller and a temperature sensor, and the temperature sensor is electrically connected with the central controller; in the main battery charging module, the battery is electrically connected with the power battery of the new energy vehicle through the charging controller; and in the standby battery charging module, the battery is electrically connected with the air conditioning system of the new energy vehicle through the charging controller.

[0009] A wind energy and solar power generation method for a new energy vehicle, characterized in that any one of the wind energy and solar power generation systems for a new energy vehicle is adopted to perform the following steps:

[0010] If the current light intensity is higher than a first preset high light intensity threshold and the environmental wind speed is higher than a first preset high wind speed threshold, the wind power generation system is used to generate power;

[0011] If the current light intensity is lower than a second preset low light intensity threshold and the environmental wind speed is higher than a second preset low wind speed threshold, the solar power generation system is used to generate power.

[0012] The wind power generation system is used to generate power, including:

[0013] The wind speed sensor is used to collect the environmental wind speed in real time;

[0014] The gyroscope is used to compensate the relative wind speed interference generated by the driving of the new energy vehicle;

[0015] The wind speed range to which the environmental wind speed belongs is determined, the target height of the wind wheel is determined, and the height of the wind energy lifting device and the height of the wind wheel are adjusted based on the preset adjustment strategy.

[0016] Preferably, the wind speed range to which the environmental wind speed belongs is determined, the target height of the wind wheel is determined, and the height of the wind energy lifting device and the height of the wind wheel are adjusted based on the preset adjustment strategy, including:

[0017] If the environmental wind speed is in a third wind speed range, the range of the target height of the wind wheel is determined, and the driving signal of the bidirectional motor in the wind energy lifting device is determined by using a PID control algorithm.

[0018]

[0019] wherein K p , K i , K d are proportional, integral and derivative coefficients respectively, t is time, and e(t) is the difference between the actual height of the wind turbine and the optimal height;

[0020] calculating the optimal height h opt of the wind turbine:

[0021]

[0022] wherein v is the wind speed monitored by the nacelle anemometer in real time, h ref is the standard reference height of the wind speed measurement, and v min is the preset minimum wind speed of the wind turbine;

[0023] Based on the driving signal of the bidirectional motor, the PWM signal is used to drive the bidirectional motor to drive the wind energy lifting device to move, and the height of the wind turbine is adjusted.

[0024] Preferably, if the environmental wind speed is within the third wind speed range (8, 15] m / s, the target height of the wind turbine is determined to be between 2.5 m and 3.0 m, and the height of the wind turbine is adjusted by using the PID control algorithm.

[0025] Preferably, if the environmental wind speed is within the first wind speed range [0, 3] m / s, the target height of the wind turbine is determined to be 1.5 m, and the wind turbine is kept running at the lowest preset height of 1.5 m.

[0026] If the environmental wind speed is within the second wind speed range (3, 8] m / s, the target height of the wind turbine is determined to be between 1.5 m and 2.5 m, and the height of the wind turbine is adjusted linearly according to the environmental wind speed, and the height of the wind turbine is proportional to the environmental wind speed.

[0027] Preferably, the solar power generation system is used for power generation, including:

[0028] When the light intensity exceeds the first preset light intensity threshold, the solar controller is used to raise the voltage output by the photovoltaic panel to the maximum charging voltage of the power battery; when the light intensity is lower than the second preset light intensity threshold, the solar controller is used to lower the voltage output by the photovoltaic panel to the minimum charging voltage.

[0029] Preferably, if the power battery of the new energy vehicle is fully charged, the battery management system is used to store the power generation of the wind power generation system or the solar power generation system in the standby battery charging module;

[0030] If the power of the power battery is lower than the preset low air conditioner threshold, the standby battery charging module is used to supply power to the air conditioning system of the new energy vehicle. Preferably, the application provides an electronic device, including a memory, a processor and a computer program stored in the memory and executable on the processor, wherein the processor executes the program to realize the steps of any one of the methods.

[0031] Preferably, the application provides a computer readable storage medium, which stores a computer program, wherein the computer program is executed by a processor to realize the steps of any one of the methods.

[0032] The application has the following beneficial effects:

[0033] 1. The application sets a solar cell panel in the high-temperature area of the instrument panel of the new energy vehicle, fully utilizes the waste heat generated during the driving of the vehicle, realizes the recycling of the waste heat, improves the efficiency of the overall system, and effectively prolongs the cruising range of the vehicle.

[0034] 2. The application adopts modular design, can automatically adjust the output voltage and charging voltage of the solar controller according to the actual light intensity, ensures the optimal charging efficiency under different light conditions, and effectively solves the problem of low charging efficiency in the prior art.

[0035] 3. The application sets a wind speed sensor, controls the height of the wind turbine through an intelligent algorithm, realizes the maximization of the wind power generation efficiency, and improves the overall power generation power.

[0036] 4. The application is linked with the air conditioning system of the vehicle, is powered by a special air conditioning battery, effectively reduces the air conditioning power consumption of the main battery, and improves the cruising ability of the vehicle.

[0037] 5. The application does not depend on external charging piles, has high reliability, low maintenance cost, is suitable for charging demand under various severe weather conditions, and effectively reduces the burden of new energy vehicles on the urban power grid. BRIEF DESCRIPTION OF DRAWINGS

[0038] In order to more clearly illustrate the technical solutions of the present application, the drawings needed in the embodiments will be briefly introduced as follows. Obviously, for those skilled in the art, other drawings can also be obtained without creative labor on the basis of these drawings.

[0039] Figure 1 is the principle diagram of some embodiments of the present application;

[0040] Figure 2 is the principle diagram of the solar power generation system in some embodiments of the present application;

[0041] Figure 3is a schematic diagram of the main battery charging module and the backup battery charging module in some embodiments of the present application;

[0042] Figure 4 is a schematic diagram of the central controller in some embodiments of the present application;

[0043] Figure 5 is a schematic diagram of the battery management system in some embodiments of the present application. DETAILED DESCRIPTION

[0044] Embodiment One

[0045] Referring to Figure 1 The purpose of the present application is to overcome the shortcomings in the prior art and provide a new energy vehicle instrument panel high-temperature area conversion solar power generation system. The system includes a wind power generation system, a solar power generation system, a main battery charging module and a backup battery charging module, a central controller, and a battery management system.

[0046] Figure 1 In the wind power generation system, a wind turbine, a wind speed sensor, and an intelligent controller are included. The wind turbine is arranged on the top of the vehicle body of the new energy vehicle. The wind speed sensor is used to detect the surrounding wind speed and transmit the detection data to the intelligent controller. The intelligent controller automatically adjusts the height of the wind turbine according to the wind speed data to ensure the maximum efficiency of wind power generation.

[0047] Workflow of the intelligent controller:

[0048] 1. Wind speed monitoring and data acquisition: The wind speed sensor monitors the environmental wind speed in real time (sampling frequency ≥ 10 Hz). The gyroscope compensates for the relative wind speed disturbance caused by vehicle motion. This technical means is the prior art, and the present application will not be described in detail.

[0049] 2. Processing wind speed data using PID control algorithm: When the wind speed is less than the starting wind speed (usually 2-3 m / s), the height-adjustable wind energy lifting device adopts the lowest height to reduce wind resistance. The height-adjustable wind energy lifting device can use an existing height-adjustable wind energy generation device, CN212898787U, which is installed on the top of the vehicle.

[0050] Within the rated wind speed range (e.g., 8-15 m / s), the height-adjustable wind energy lifting device is dynamically adjusted in height using the PID control algorithm, so that the height of the wind wheel is always in the optimal interval.

[0051] When the speed of the wind wheel exceeds the cut-out wind speed (usually 15 m / s), the protection mechanism is triggered: the wind turbine is lowered to the preset safe height, and the braking system of the vehicle is started. The adjustment instructions generated according to the wind speed-height optimization curve are shown in Table 1.

[0052] Table 1

[0053]

[0054]

[0055] 1. Adjust the height using PID control algorithm.

[0056] PID controller is a control algorithm based on error feedback, which consists of three components: proportion (P), integral (I) and differential (D). In the height adjustment process of the vehicle-mounted wind turbine, the PID algorithm realizes height adjustment in the following ways:

[0057] ① Error calculation: the system calculates the difference e(t) = h_target - h_current between the current actual height of the wind wheel and the target height in real time, where h_target is the optimal height of the wind wheel, which is obtained by using industry technical experiments, and h_current is the current actual height of the wind wheel measured by the distance sensor.

[0058] h_target is the optimal height of the wind wheel, which is obtained by using industry technical experiments, including wind energy capture formula and power curve characteristics.

[0059] Wind energy capture formula: the basic theory follows P = ρAvml-citationref="3"data="citationList"C P , where P is the output power, ρ is the air density, A is the swept area, v is the wind speed, C p is the power coefficient, and the formula shows that the power is proportional to the cube of the wind speed, which is the physical basis of height adjustment.

[0060] Power curve characteristics: the power curve of the wind turbine describes the functional relationship between the net output electric power and the wind speed at the hub height, which is usually determined by experiments rather than theoretical derivation. The vehicle-mounted system needs to establish an empirical mapping combined with the measured data.

[0061] ② Control quantity calculation: the position type PID algorithm is adopted, and the calculation formula of its output control quantity u(t) is:

[0062]

[0063] where K p , K i , K dThe proportional coefficient, integral coefficient and differential coefficient respectively. This control quantity will be converted into the driving signal of the bidirectional motor to push the lifting rod up and down. e(t) is the difference between the actual height of the wind wheel and the optimal height, which is the input quantity of the PID control, directly reflecting the difference between the current height and the theoretical optimal value, and the influence degree of environmental disturbance (such as wind shear and turbulence).

[0064] ③、Actuator control: PID control algorithm drives bidirectional motor through PWM signal, drives driving bevel gear, driven bevel gear and lifting rod to move, realizes height adjustment of lifting rod and wind wheel.

[0065] ⑵、Mathematical model of wind speed and height relationship. The height adjustment of the vehicle-mounted wind power generator is based on the power law model of wind speed change with height, which is the theoretical basis for determining the target height:

[0066] ①、Wind speed height model: the wind speed v(h) at height h follows the power law distribution:

[0067]

[0068] Where, v ref is the wind speed at the standard height h ref of wind speed measurement; α is the surface roughness coefficient, the value of urban environment is 0.25-0.3, and h is the height.

[0069] ②、Optimal height calculation: according to the wind energy formula P = 0.5ρAv3, the optimal theoretical height h opt of the wind wheel is calculated:

[0070]

[0071] Where P is the output power, ρ is the air density, A is the swept area, C p is the power coefficient, v min is the preset minimum wind speed of the wind wheel, about 3m / s, h ref usually takes 3 meters; α is the wind shear exponent, which represents the change gradient of wind speed with height, and the value of flat terrain is 0.14-0.25, and the value of complex terrain can reach 0.4.

[0072] ③、Dynamic adjustment strategy: considering the influence of vehicle motion on relative wind speed, the effective wind speed v effective is calculated:

[0073] That is Where V wind is the measured value of environmental wind speed, usually measured by meteorological sensor, unit: m / s. V vehicleV is the vehicle speed, unit m / s. θ is the angle between the wind speed and the vehicle moving direction, 0° is downwind, 180° is headwind, 90° is crosswind (cosθ = 0). cosθ is the cosine function, which calculates the component of wind speed in the direction of vehicle moving. Effective wind speed is the actual wind speed that the vehicle bears, which is used to calculate the aerodynamic load or the efficiency of wind energy utilization.

[0074] ④, Height restriction condition: The following constraints need to be considered in practical application: 1, mechanical travel limit (usually 1-3 meters); 2, vehicle driving stability requirements (reduce the height of the wind wheel at high speed); 3, wind resistance and energy consumption balance (adjust the net energy gain greater than 5 Wh).

[0075] ⑥, PID parameter setting and adaptive adjustment. The PID parameter setting of the vehicle-mounted wind power generator height control system needs to consider the response speed and stability:

[0076] ①, Parameter initial value setting principle: 1, proportional coefficient K p : determines the response strength of the system to the height deviation, typical value 0.5-2.0; 2, integral coefficient K i : eliminate steady-state error, typical value 0.01-0.1; 3, differential coefficient K d : suppress overshoot and oscillation, typical value 0.05-0.3.

[0077] ②, Parameter self-tuning method: 1, relay feedback method: through periodic switching between maximum and minimum values of output, induce system oscillation, calculate PID parameters according to oscillation period and amplitude; 2, critical proportional degree method: gradually increase K p until the system appears equal amplitude oscillation, record the critical gain K u and oscillation period T u , calculate parameters according to Ziegler-Nichols formula; 3, PSO optimization method: use particle swarm optimization algorithm to optimize PID parameters, take control performance index as fitness function.

[0078] ③, Fuzzy adaptive adjustment: 1, establish fuzzy reasoning system with height error e and error change rate ec as input, ΔK p , ΔK i , ΔK d as output; 2, design 49 fuzzy rules, such as "IFe is PB AND ec is ZO THENΔK p is PB"; 3, use barycenter method to solve fuzzy, adjust PID parameters in real time.

[0079] ④, Vehicle-mounted environment special adjustment: 1, dynamically adjust parameters according to vehicle speed: increase K d to improve stability at high speed; 2, consider battery state: reduce Ki Reduce energy consumption; 3. Anti-interference design: low-pass filter for wind speed measurement, suppress high-frequency noise.

[0080] ⑷、System implementation and dynamic control strategy: The actual implementation of the vehicle-mounted wind power generator height control system needs to consider many factors:

[0081] ①、Hardware architecture: 1. Main control chip: STM32F4 series, running frequency 168MHz, supporting floating-point operation; 2. Sensor: ultrasonic anemometer (accuracy ±0.1m / s), absolute value encoder (height measurement accuracy ±1cm); 3. Actuator: DC servo motor (rated torque 2.5Nm) + ball screw (lead 5mm); 4. Communication interface: CAN bus communication with vehicle VCU.

[0082] ②、Control flow:

[0083] A, sample wind speed and wind wheel height every 50ms;

[0084] B, calculate the target height of the wind wheel according to the wind speed model;

[0085] C, calculate the height error and error rate;

[0086] D, execute the PID control algorithm to get the control amount;

[0087] E, output PWM drive motor;

[0088] F, monitor system status, trigger protection if necessary.

[0089] ④、Multi-mode operation strategy:

[0090] Operating modes Wind speed range (m / s) Control objectives Typical height (m) PID parameter characteristics Standby mode <3 Maintain minimum height 1.0 K p smaller, K i = 0]]> Economic mode 3-8 Balance power generation and energy consumption 1.5-2.5 Median K p Small K d ]]> High efficiency mode 8-15 Maximize power generation 2.5-3.0 Large K p , median K d ]] Safety mode >15 Prevent structural overload 1.0-1.5 K p K d ]]>

[0091] ⑤、Safety protection mechanism: 1. Mechanical limit: hard limit switch to prevent overtravel; 2. Overcurrent protection: monitor motor current, cut off output when exceeding 5A; 3. Wind speed protection: automatically reduce to the lowest when 25m / s; 4. Fault diagnosis: report system status through CAN bus.

[0092] Actual application effect: In actual vehicle-mounted application, the height adjustment system of PID control can bring significant benefits:

[0093] 1. Increase power generation: through height optimization, annual power generation can increase by more than 20%;

[0094] 2. Effective working time: extend the working time under low wind speed by 30%;

[0095] 3. System stability: height control accuracy can reach ±0.5cm;

[0096] 4. Energy consumption ratio: The energy consumption for adjustment accounts for only 1-3% of the power generation.

[0097] The system realizes highly automatic adjustment through a precise PID control algorithm, efficiently utilizes wind energy under different driving conditions, and provides an effective supplementary power source for new energy vehicles.

[0098] 3. Actuator control: height adjustment is realized through motor-driven lifting rods, and positioning accuracy of ±5mm is realized by cooperating with encoder feedback. CAN bus communication is adopted to ensure the real-time performance of control commands, and the response delay is less than 100ms.

[0099] The control principle of the intelligent controller of the application is as follows:

[0100] ①, Protection mechanism: three-stage wind speed protection: early warning (20 m / s), speed limiting (25 m / s), and emergency descent (30 m / s), mechanical locking device ensures safety in extreme weather;

[0101] ②, Energy efficiency optimization: real-time calculation of optimal solution of wind wheel attack angle, combined with dynamic adjustment of height parameters according to vehicle driving state.

[0102] ③, Intelligent controller system architecture diagram is shown in the accompanying Figure 1 ;

[0103] Figure 2 In the solar power generation system, the solar cell panel is arranged in the high-temperature area of the instrument panel of the new energy vehicle, the solar controller is electrically connected with the photovoltaic panel, and the voltage output by the photovoltaic panel is raised to the charging voltage of the power battery. When the light intensity exceeds the first preset light intensity threshold, the solar controller raises the voltage output by the photovoltaic panel to the maximum charging voltage of the power battery; when the light intensity is lower than the second preset light intensity threshold, the solar controller lowers the voltage output by the photovoltaic panel to the minimum charging voltage, so as to ensure the best charging efficiency.

[0104] Figure 3 In the main battery charging module and the standby battery charging module are arranged in the body of the new energy vehicle, the main battery charging module is electrically connected with the power battery, and the standby battery charging module is electrically connected with the air conditioning system. The main battery charging module and the standby battery charging module both include a charging controller and a temperature sensor, and the charging controller automatically adjusts the charging current according to the temperature data detected by the temperature sensor, so as to ensure the stability and safety of the charging process.

[0105] Figure 4In the specific implementation, the system further comprises a central controller for coordinating the working states of the subsystems. The central controller intelligently allocates electric energy according to real-time wind speed data, light intensity data and temperature data, and ensures that the priority order of the subsystems is correctly executed. For example, when the light intensity is high and the wind speed is large, the central controller preferentially controls the wind power generation system and the solar power generation system to work; when the light intensity is low and the wind speed is small, the central controller preferentially controls the solar power generation system to work; and when the surface temperature of the instrument panel is greater than 55°, the system is switched to a wind power generation priority mode.

[0106] Figure 5 In the specific implementation, the system further comprises a battery management system for monitoring and managing the states of the power battery and the backup battery. The battery management system can store excess electric energy in the backup battery or obtain electric energy from the backup battery to supply the air conditioning system according to the instruction of the central controller, and ensure the health state of each battery and prolong the service life.

[0107] At night or when the light intensity is insufficient, the system can be switched to a backup battery power supply mode to ensure the normal operation of the air conditioning system. Meanwhile, the system also has the function of returning electric energy to an external power grid, and can feed back excess electric energy to the power grid when the vehicle is parked, thereby reducing the burden on the urban power grid.

[0108] In the embodiments of the present application, an electronic device is provided, which comprises a memory, a processor and a computer program stored in the memory and executable on the processor, and the processor implements the steps of the method according to any one of the preceding embodiments when executing the program.

[0109] In the embodiments of the present application, a computer readable storage medium is provided, which stores a computer program, and the computer program is executable on a processor to implement the steps of the method according to any one of the preceding embodiments.

[0110] Embodiment two

[0111] A new energy vehicle instrument panel high-temperature area conversion solar power generation system comprises a wind power generation system, a solar power generation system, a main battery charging module and a backup battery charging module, a central controller and a battery management system.

[0112] The wind power generation system comprises a wind power generator, a wind speed sensor and an intelligent controller. The wind power generator is arranged on the top of the vehicle body of the new energy vehicle, the wind speed sensor is used for detecting the surrounding wind speed and transmitting detection data to the intelligent controller. The intelligent controller automatically adjusts the height of the wind power generator according to the wind speed data, so as to maximize the wind power generation efficiency. The rated power of the wind power generator is 200 watts, the height adjustment range of the wind power generator is 0-5 meters, the intelligent controller adopts a single-chip microcomputer control system, and the wind speed is detected by the sensor and data processing is performed.

[0113] The solar power generation system includes a solar panel, a solar controller, and a photovoltaic panel. The solar panel is arranged in a high-temperature area of the instrument panel of the new energy vehicle, the solar controller is electrically connected with the photovoltaic panel, and is used for increasing the voltage output by the photovoltaic panel to the charging voltage of the power battery. When the light intensity is strong, the solar controller increases the voltage output by the photovoltaic panel to 14.6 volts; when the light intensity is weak, the solar controller reduces the voltage output by the photovoltaic panel to 12.6 volts, so as to ensure the best charging efficiency. The type of the solar panel is a crystalline silicon panel, the area of the panel is 0.5 square meters, and the maximum power is 200 watts.

[0114] The main battery charging module and the backup battery charging module are arranged inside the vehicle body of the new energy vehicle. The main battery charging module is electrically connected with the power battery, and the backup battery charging module is electrically connected with the air conditioning system. The main battery charging module and the backup battery charging module each include a charging controller and a temperature sensor. The charging controller automatically adjusts the charging current according to the temperature data detected by the temperature sensor, so as to ensure the stability and safety of the charging process. The charging controller adopts a modular design, and the maximum charging current is 30 amperes.

[0115] The system further includes a central controller for coordinating the working states of the various subsystems. The central controller intelligently allocates electric energy according to real-time wind speed data, light intensity data, and temperature data, so as to ensure that the priority order of the various systems is correctly executed. The central controller adopts an embedded system architecture and is based on a Linux operating system.

[0116] The system further includes a battery management system for monitoring and managing the states of the power battery and the backup battery. The battery management system can store excess electric energy in the backup battery or obtain electric energy from the backup battery to supply the air conditioning system according to the instructions of the central controller, so as to ensure the health states of the various batteries and prolong the service life. The battery management system adopts a lithium ion battery pack, and the battery capacity is 48 ampere-hours.

[0117] In the case of night or insufficient light intensity, the system can be switched to a backup battery power supply mode to ensure the normal operation of the air conditioning system. At the same time, the system also has the function of returning electric energy to an external power grid, and can feed back excess electric energy to the power grid when the vehicle is parked, thereby reducing the burden on the urban power grid.

[0118] Each of the embodiments in the specification is described in a progressive manner, and the same or similar parts between the embodiments can be referred to each other. Each embodiment focuses on the differences from other embodiments.

[0119] Other embodiments of the application will be apparent to those skilled in the art from consideration of the specification and practice of the features of the application as set forth herein. It is intended that the specification and examples be considered as exemplary only, with a true scope of the application being indicated by the following claims.

[0120] The above detailed description has shown, described and pointed out the various features of the application. The applicant can here, by way of summary of the application only, point out that the application provides the advantages of: etc. As various changes could be made in the above constructions without departing from the scope of the application, it is intended that all matter contained in the above description be interpreted as illustrative of the application and not in a limiting sense.

Claims

1. A method for generating wind and solar power for new energy vehicles, characterized in that, A wind and solar power generation system for a new energy vehicle is adopted. The system includes a wind power generation system, a solar power generation system, a main battery charging module, a backup battery charging module, and a battery management system. The central controller of the new energy vehicle is electrically connected to the wind power generation system, the solar power generation system, the main battery charging module, the backup battery charging module, and the battery management system. The main battery charging module is electrically connected to the power battery of the new energy vehicle, and the backup battery charging module is electrically connected to the air conditioning system of the new energy vehicle. The wind power generation system includes a wind turbine, a wind speed sensor, a wind turbine rotor, a wind turbine lifting device for adjusting the height of the wind turbine rotor, and an intelligent controller. The wind turbine and the wind turbine lifting device are mounted on the top of the new energy vehicle body. The wind turbine rotor is mounted on the wind turbine lifting device. The wind speed sensor is mounted on the body of the new energy vehicle. The intelligent controller is electrically connected to the wind turbine, the wind speed sensor, and the wind turbine lifting device. The power generation method executes the following steps: If the current light intensity is higher than the first preset high light threshold and the ambient wind speed is higher than the first preset high wind speed threshold, then the wind power generation system will be used to generate electricity. If the current light intensity is lower than the second preset low light threshold and the ambient wind speed is higher than the second preset low wind speed threshold, then the solar power generation system will be used to generate electricity. Among these, generating electricity using wind power systems includes: Real-time monitoring of ambient wind speed is achieved using a wind speed sensor; Using gyroscopes to compensate for relative wind speed interference generated by the driving of new energy vehicles; Determine the wind speed range of the environment, determine the target height of the wind turbine, and adjust the height of the wind power lifting device and the wind turbine based on the preset adjustment strategy; Determine the ambient wind speed range, determine the target height of the wind turbine, and adjust the height of the wind power lifting device and the wind turbine based on a preset adjustment strategy, including: If the ambient wind speed is within the third wind speed range, determine the target height range of the wind turbine, and use a PID control algorithm to determine the drive signal of the bidirectional motor in the wind power lifting device: u(t)=K p e(t) +K i ∫ t 0e(t)dt +K d , In the formula, K p K i K d These are the proportional coefficient, integral coefficient, and differential coefficient, respectively; t is the time; and e(t) is the difference between the actual height and the optimal height of the wind turbine. Calculate the optimal height h of the wind turbine. opt : h opt =h ref ( ) 1 / α Where v is the wind speed monitored in real time by the naval anemometer, and h ref v is the standard reference height for wind speed measurement. min This is the preset minimum wind speed of the wind turbine; Based on the drive signal of the bidirectional motor, the PWM signal is used to drive the bidirectional motor to move the wind power lifting device and adjust the height of the wind turbine.

2. The method for generating wind and solar power for a new energy vehicle according to claim 1, characterized in that, The solar power generation system includes solar panels, a solar controller, and photovoltaic panels. The solar panels are installed in a pre-set high-temperature area on the dashboard of the new energy vehicle, and the solar controller is electrically connected to the photovoltaic panels.

3. The method for generating wind and solar power for a new energy vehicle according to claim 1, characterized in that, Both the main battery charging module and the backup battery charging module include a battery, a charging controller, and a temperature sensor. The temperature sensor is electrically connected to the central controller. In the main battery charging module, the battery is electrically connected to the power battery of the new energy vehicle through the charging controller. In the backup battery charging module, the battery is electrically connected to the air conditioning system of the new energy vehicle through the charging controller.

4. The method for generating wind and solar power for a new energy vehicle according to claim 1, characterized in that, include: If the ambient wind speed is within the third wind speed range (8, 15] m / s, the target height of the wind turbine is determined to be between 2.5m and 3.0m, and the height of the wind turbine is adjusted using a PID control algorithm.

5. A method for generating wind and solar power for a new energy vehicle according to claim 4, characterized in that, include: If the ambient wind speed is within the first wind speed range [0,3] m / s, the target height of the wind turbine is determined to be 1.5m, and the wind turbine maintains the minimum preset height of 1.5m during operation; if the ambient wind speed is within the second wind speed range (3,8] m / s, the target height of the wind turbine is determined to be between 1.5m and 2.5m, and the height of the wind turbine is linearly adjusted according to the ambient wind speed, and the height of the wind turbine is proportional to the ambient wind speed.

6. The method for generating wind and solar power for a new energy vehicle according to claim 1, characterized in that, include: Generating electricity using a solar power system includes: when the light intensity exceeds a first preset light intensity threshold, using a solar controller to increase the voltage output by the photovoltaic panel to the maximum charging voltage of the power battery; When the light intensity is lower than the second preset light intensity threshold, the solar controller reduces the voltage output by the photovoltaic panel to the minimum charging voltage.

7. A method for generating wind and solar power for a new energy vehicle according to claim 1, characterized in that, include: If the power battery of a new energy vehicle is fully charged, the battery management system stores the electricity generated by the wind power system or solar power system in the backup battery charging module; if the power battery charge is lower than the preset low threshold for air conditioning, the backup battery charging module supplies power to the air conditioning system of the new energy vehicle.

8. An electronic device comprising a memory, a processor, and a computer program stored in the memory and executable on the processor, characterized in that, When the processor executes the program, it implements the steps of the method according to any one of claims 1 to 7.

Images