Vehicle-mounted battery charging and discharging method
By monitoring in real time and optimizing decision-making, the problem of unstable power supply to the vehicle battery caused by fluctuations in environmental parameters in electric vehicles has been solved, achieving more efficient energy utilization and more stable power supply, and reducing damage to the vehicle battery and energy waste.
Patent Information
- Application Number
- CN202511360192.1
- Authority / Receiving Office
- CN · China
- Patent Type
- Patents(China)
- Current Assignee / Owner
- Filing Date
- 2025-09-23
- Publication Date
- 2025-12-12
- Estimated Expiration
- 2045-09-23
AI Technical Summary
In existing technologies, when electric vehicles are powered by solar and wind energy, fluctuations in environmental parameters lead to unstable power supply to the on-board batteries, which can easily cause damage. At the same time, energy conversion losses result in waste.
By monitoring environmental parameters in real time, their categories and reasonable ranges are determined. Charging and discharging operation decisions are made using parameter fluctuation thresholds, including idle operation, on-board battery charging, and direct conversion discharging. Energy allocation and correction are carried out in combination with historical parameters and multi-dimensional environmental parameter baselines to optimize energy utilization.
It improves the utilization rate of environmental energy, reduces damage to vehicle batteries, expands energy reception scenarios, enhances the stability and efficiency of power supply, and reduces energy waste.
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Figure CN120855610B_ABST
Abstract
Description
TECHNICAL FIELD
[0001] The present application relates to the field of vehicle-mounted batteries, in particular to a vehicle-mounted battery charging and discharging method. BACKGROUND
[0002] At present, in order to achieve the goal of protecting the environment, promote the green transformation of personal travel, and reduce carbon emissions during vehicle operation, electric vehicles powered by electricity are increasingly popular. Electric vehicles do not need to consume oil during driving, and are energy-saving and environmentally friendly.
[0003] At present, during the driving of an electric vehicle, the vehicle-mounted battery can convert clean energy such as the environment (wind power, temperature and light) into electrical energy to realize energy recycling. There is a kind of comprehensive utilization system of solar energy and wind energy for electric vehicles in the prior art, which comprises a solar energy collection system and a wind energy collection system; the present application can effectively collect wind energy and solar energy during driving and parking of the vehicle, and solve the problems of vehicle energy, energy consumption and endurance.
[0004] In the related art described above, when the electric vehicle is driving, the environment energy is collected by the solar energy collection system and the wind energy collection system, and is directly used for driving the vehicle. In the case that it still cannot meet the driving requirements, the environment energy and the vehicle-mounted battery are usually used together for power supply. However, the environment parameters are prone to fluctuation, which causes the power supply of the vehicle-mounted battery to fluctuate, and the vehicle-mounted battery is prone to damage. If the environment energy is all charged to the vehicle-mounted battery, energy will be wasted due to energy conversion loss. SUMMARY
[0005] In order to solve the above problems, the present application provides a vehicle-mounted battery charging and discharging method, which improves the utilization rate of environment energy, solves the damage of environment energy fluctuation to the vehicle-mounted battery during charging, and effectively utilizes more environment energy in environment scenarios.
[0006] The present application provides a vehicle-mounted battery charging and discharging method, which adopts the following technical scheme:
[0007] A vehicle-mounted battery charging and discharging method, comprising:
[0008] Step 1: receiving environment parameters;
[0009] Step 2: determining an environment parameter category based on the environment parameters;
[0010] Step 3: finding a corresponding parameter reasonable interval and parameter fluctuation threshold from a preset parameter database based on the environment parameter category;
[0011] Step 4: analyzing the environment parameters to obtain a parameter fluctuation value;
[0012] Step 5: determining a comparison result based on the environmental parameter and the parameter fluctuation value, and performing a normal operation, wherein a specific method of determining the comparison result and performing the normal operation is:
[0013] Step 50: when the environmental parameter does not fall into the parameter reasonable interval, performing a preset idle operation on the environmental energy corresponding to the environmental parameter.
[0014] Step 51: when the environmental parameter falls into the parameter reasonable interval and the parameter fluctuation value is greater than the parameter fluctuation threshold, performing a preset vehicle-mounted battery charging operation on the environmental energy corresponding to the environmental parameter.
[0015] Step 52: when the environmental parameter falls into the parameter reasonable interval and the parameter fluctuation value is less than the parameter fluctuation threshold, performing a preset direct conversion discharge operation on the environmental energy corresponding to the environmental parameter.
[0016] Optionally, the method further comprises:
[0017] Step 10: analyzing the environmental parameter to determine an optimal receiving device state.
[0018] Step 11: controlling the receiving device arranged on the vehicle to be in the optimal receiving device state and re-executing steps 1-52.
[0019] Optionally, the method further comprises:
[0020] Step 6: collecting historical environmental parameters before step 11.
[0021] Step 60: when the historical environmental parameter does not fall into the parameter reasonable interval, and the environmental parameter falls into the parameter reasonable interval and the parameter fluctuation value is less than the parameter fluctuation threshold, performing the vehicle-mounted battery charging operation on the environmental energy corresponding to the environmental parameter without performing the direct conversion discharge operation.
[0022] Step 61: when the historical environmental parameter falls into the parameter reasonable interval, performing the direct conversion discharge operation.
[0023] Optionally, the method further comprises, when the environmental parameter falls into the parameter reasonable interval or does not fall into the parameter reasonable interval, and the parameter fluctuation value is greater than the parameter fluctuation threshold, performing the vehicle-mounted battery charging operation on the environmental energy corresponding to the environmental parameter, and the method comprises:
[0024] Step 62: determining an environmental parameter baseline based on the historical environmental parameter.
[0025] Step 620: when the value of the environmental parameter exceeds the value of the environmental parameter baseline, decompose the environmental parameter based on the environmental parameter baseline to obtain an excess environmental parameter and a baseline environmental parameter, the baseline environmental parameter being the part equal to the value of the environmental parameter baseline, and the excess environmental parameter being the part exceeding the value of the environmental parameter baseline;
[0026] Step 621: based on the baseline environmental parameter, adjust the environmental parameter to obtain an adjusted environmental parameter;
[0027] Step 622: determine an adjusted parameter fluctuation value based on the adjusted environmental parameter;
[0028] Step 6220: when the value of the environmental parameter baseline does not fall within the reasonable parameter interval, execute step 5 on the environmental energy corresponding to the environmental parameter;
[0029] Step 6221: when the value of the environmental parameter baseline falls within the reasonable parameter interval and the adjusted parameter fluctuation value is less than the parameter fluctuation threshold, execute the direct conversion discharge operation on the environmental energy corresponding to the baseline environmental parameter, and execute the vehicle-mounted battery charging operation on the environmental energy corresponding to the excess environmental parameter;
[0030] Step 6222: when the value of the environmental parameter baseline falls within the reasonable parameter interval and the adjusted parameter fluctuation value is greater than the parameter fluctuation threshold, execute the vehicle-mounted battery charging operation on the environmental energy corresponding to the environmental parameter.
[0031] Optionally, when the adjusted parameter fluctuation value is greater than the parameter fluctuation threshold, the method of executing the vehicle-mounted battery charging operation on the environmental energy corresponding to the environmental parameter comprises:
[0032] Step 62210: based on the environmental parameter category, find the corresponding preset conversion mode from the preset parameter conversion database;
[0033] Step 62211: based on the conversion mode, convert the historical environmental parameter to obtain a converted historical environmental parameter;
[0034] Step 62212: based on any number of different categories of converted historical environmental parameters, determine a multi-element environmental parameter baseline;
[0035] Step 62213: based on the multi-element environmental parameter baseline, decompose different types of environmental parameters to obtain a kinetic energy conversion environmental parameter and an electric energy conversion environmental parameter;
[0036] Step 62214: modifying different types of the environmental parameters based on the multi-environmental parameter baseline to obtain modified multi-environmental parameters;
[0037] Step 62215: determining a modified multi-parameter fluctuation value based on the modified multi-environmental parameters;
[0038] Step 622150: when the value corresponding to the multi-environmental parameter baseline does not fall within the reasonable parameter interval, performing step 5 on the environmental energy corresponding to the environmental parameter;
[0039] Step 622151: when the modified multi-parameter fluctuation value is less than the parameter fluctuation threshold, performing the direct conversion discharge operation on the environmental energy corresponding to the kinetic energy conversion environmental parameter and performing the vehicle-mounted battery charging operation on the environmental energy corresponding to the electric energy conversion environmental parameter;
[0040] Step 622152: when the modified multi-parameter fluctuation value is greater than the parameter fluctuation threshold, performing the vehicle-mounted battery charging operation on the environmental energy corresponding to the environmental parameter.
[0041] Optionally, when the environmental parameter does not fall within the reasonable parameter interval, the vehicle-mounted battery charging operation is still performed, and the method comprises:
[0042] Step 7: calculating a reasonable allocation quantity based on the environmental parameter and the reasonable parameter interval;
[0043] Step 70: adjusting the vehicle-mounted battery charging operation based on the reasonable allocation quantity to obtain a synchronous charging operation, wherein the synchronous charging operation is to allocate the environmental energy corresponding to the environmental parameter to the vehicle-mounted battery corresponding to the reasonable allocation quantity.
[0044] Optionally, the method further comprises an operation checking method when the environmental parameter does not fall within the reasonable parameter interval or when the environmental parameter falls within the reasonable parameter interval and the parameter fluctuation value is greater than the parameter fluctuation threshold, and the method comprises:
[0045] Step 8: determining the environmental parameter category based on the environmental parameter;
[0046] Step 80: finding a corresponding detection means from a preset detection database based on the environmental parameter category;
[0047] Step 81: detecting the environmental parameter by using the detection means to obtain a parameter fluctuation type;
[0048] Step 82: obtaining a historical charging and discharging operation when the parameter fluctuation type is a preset instantaneous fluctuation type, the historical charging and discharging operation being the idle operation, the vehicle-mounted battery charging operation or the direct conversion discharging operation previously performed;
[0049] Step 83: performing the historical charging and discharging operation;
[0050] Step 84: determining a comparison result when the parameter fluctuation type is a preset long-term fluctuation type, and performing the normal operation.
[0051] Optionally, the method of obtaining the historical charging and discharging operation and performing the historical charging and discharging operation when the parameter fluctuation type is a preset instantaneous fluctuation type comprises:
[0052] Step 840: searching for a corresponding processing means from a preset processing database based on the environmental parameter category and the parameter fluctuation type;
[0053] Step 841: controlling a preset processing device to adopt the processing means, and re-executing steps 8-84;
[0054] Step 842: analyzing a historical parameter fluctuation type;
[0055] Step 843: performing the historical charging and discharging operation when the parameter fluctuation type returns to the historical parameter fluctuation type;
[0056] Step 844: continuing to adopt the processing means for processing when the parameter fluctuation type does not return to the historical parameter fluctuation type, and accumulating a processing number;
[0057] Step 8440: continuing to adopt the processing means for processing until the parameter fluctuation type returns to the historical parameter fluctuation type or the processing number is greater than a preset effective reasonable threshold value when the processing number is less than the preset effective reasonable threshold value;
[0058] Step 8441: outputting a preset alarm signal when the processing number is greater than the effective reasonable threshold value.
[0059] Optionally, the method of outputting a preset alarm signal when the processing number is greater than the effective reasonable threshold value comprises:
[0060] Step 84410: defining the environmental parameter category as a preset abnormal environmental parameter category, and defining the processing means corresponding to the abnormal environmental parameter category as a preset abnormal processing means;
[0061] Step 84411: searching for a corresponding equivalent means from a preset equivalent database based on the abnormal environmental parameter category and the abnormal processing means;
[0062] Step 844110: when the equivalent means exists in the processing means, taking the equivalent means to process the abnormal environment parameter category;
[0063] Step 844111: when the equivalent means does not exist in the processing means, then correcting the environment parameter.
[0064] Optionally, the method further comprises that when the environment parameter does not fall within the reasonable parameter range, if the environment parameter is lower than the reasonable parameter range and the parameter fluctuation value is less than the parameter fluctuation threshold, the environment energy corresponding to the environment parameter is still executed to perform the vehicle-mounted battery charging operation. The method comprises:
[0065] Step 9: searching for a preset reasonable battery charging scheme based on the environment parameter and the reasonable parameter range;
[0066] Step 90: executing the reasonable battery charging scheme to the environment energy corresponding to the environment parameter.
[0067] In summary, the present application comprises at least one of the following beneficial technical effects:
[0068] Based on the real-time environment parameter, the device operation mode is changed to widen the environment energy receiving scenario, realize more energy receiving under driving conditions, and reduce the influence of environment parameter fluctuation on the service life of the vehicle-mounted battery.
[0069] Through the multi-element environment parameter baseline line construction, the kinetic energy / electric energy parameter is disassembled to achieve the fluctuation complement of different types of environment energy, and the comprehensive energy supply stability is improved.
[0070] Based on the fluctuation type identification, the environment energy utilization effect reduction caused by faults in the automobile running process is processed in time, and the further processing of difficult faults is realized through the deep processing mechanism and the parameter correction unit. BRIEF DESCRIPTION OF DRAWINGS
[0071] Figure 1 is a flowchart of a vehicle-mounted battery charging and discharging method in an embodiment of the present application;
[0072] Figure 2 is a schematic diagram of an environment parameter-time curve in an embodiment of the present application;
[0073] Figure 3 is a schematic diagram of an excess environment parameter and a baseline environment parameter-time curve in an embodiment of the present application;
[0074] Figure 4is a modified environment parameter intensity-time schematic diagram in the embodiment of the present application. DETAILED DESCRIPTION
[0075] The present application will be further described in detail below with reference to the accompanying drawings and embodiments.
[0076] The embodiment of the present application discloses a vehicle-mounted battery charging and discharging method. Referring to Figure 1 A vehicle-mounted battery charging and discharging method comprises:
[0077] Step 1: receiving an environmental parameter.
[0078] The environmental parameter refers to a parameter value for quantifying the intensity of the environmental energy collected in real time by a vehicle-mounted sensor. The receiving mode is to receive by using a corresponding sensor, such as using an illuminance sensor to measure the illuminance, using an anemometer to measure the wind speed, etc.
[0079] Step 2: determining an environmental parameter category based on the environmental parameter.
[0080] The environmental parameter category is a type of physical quantity defined according to the principle of energy conversion, which is used to represent the attribute characteristics of the environmental energy corresponding to the environmental parameter. The system confirms the category by analyzing the corresponding relationship between the physical properties of the parameter and the energy generation mechanism, for example: when the light intensity is received, because it directly reflects the solar radiation energy density, the system determines it as a solar energy parameter; when the wind speed is received, because it is related to the air kinetic energy density, the system determines it as a wind energy parameter.
[0081] Step 3: finding the corresponding parameter reasonable interval and parameter fluctuation threshold from the preset parameter database based on the environmental parameter category.
[0082] The parameter reasonable interval is a numerical range in which the environmental energy can be effectively converted into electrical energy and does not affect the service life of the equipment. For example, the reasonable interval of the light intensity for driving on the streets of southern cities is set to 100-800 W / m 2 (Less than 100 W / m 2 , the generation efficiency is low, and higher than 800 W / m 2 may cause overheating and excessive current damage to the vehicle-mounted battery). The parameter fluctuation threshold is a critical value for judging the stability of the environmental parameter, for example, the standard deviation of the light intensity within 5 min is greater than 35, which is judged as a severe fluctuation, and exceeding this value will cause the current fluctuation to affect the service life of the vehicle-mounted battery. This value will change with the car model.
[0083] The parameter database is a pre-configured multi-dimensional environment data set, which contains the mapping relationship of environment parameter categories, parameter reasonable interval and parameter fluctuation threshold. The values of the parameter reasonable interval and the parameter fluctuation threshold are obtained through a large number of experiments by the staff. The process of the experiment is as follows: on the basis of different environment parameter categories, different parameters and different fluctuation thresholds are set, and the number of uses is observed. When it reaches the reasonable life length set by human beings, it is considered to fall into the parameter reasonable interval. At this time, the critical end point value appears after a large number of data are combined, and the parameter reasonable interval between the two end point values is obtained.
[0084] When the system receives the corresponding environment parameter category, it automatically finds the corresponding parameter reasonable interval and parameter fluctuation threshold from the database for output.
[0085] The parameter fluctuation value refers to the discrete degree of the actual measurement value of a certain environment parameter within a certain time window. The analysis method is the standard deviation calculation method, and the variance method can also be adopted.
[0086] For example, during the running of the car, the time window is set to 5 minutes, the sampling time interval is 10 seconds, 30 data points are collected for standard deviation calculation to obtain the parameter fluctuation value.
[0087] Step 5: Determine the comparison result based on the environment parameter and the parameter fluctuation value, and perform normal operation.
[0088] The comparison result is the result of the numerical comparison between the real-time environment parameter and the parameter reasonable interval, and between the parameter fluctuation value and the parameter fluctuation threshold. The normal operation is one or more of the following operations running in parallel: idle operation, vehicle battery charging operation and direct conversion discharge operation.
[0089] Reference Figure 2 (a), the broken line 1 and the broken line 2 respectively represent the upper limit and the lower limit of the parameter reasonable interval, and the curve 1 is the curve of the change of the environment parameter with time, wherein the curve is considered to fall into the parameter reasonable interval in the segments from point A to point B, from point C to point D and from point E to point F, and is considered not to fall into the parameter reasonable interval in the segments from point B to point C and from point D to point E. Referring to Figure 2 (b), the curve 2 is the curve of the change of the environment parameter with time, the curve 3 is the parameter fluctuation value of the change of the environment parameter with time of the curve 2, and the broken line 3 is the set parameter fluctuation threshold, wherein the segment from point G to point H is considered to exceed the parameter fluctuation threshold, and the segment from point H to point I is considered not to exceed the parameter fluctuation threshold. The specific method of determining the comparison result and performing the normal operation is as follows:
[0090] Step 50: When the environment parameter does not fall into the parameter reasonable interval, the environment energy corresponding to the environment parameter is executed with the pre-set idle operation.
[0091] Idle operation refers to the system actively stops using the environmental energy, that is, it is no longer used for vehicle battery charging operation, and the environmental energy is not directly converted and discharged for vehicle driving. For example, when the intensity of sunlight is lower than the lower limit of the reasonable parameter interval, the power converter between the photovoltaic panel and the vehicle battery is turned off, and the solar energy cannot be input into the battery.
[0092] When the environmental parameter does not fall within the reasonable parameter interval, it indicates that the quality of the environmental energy is not good. In order to avoid the over-strong environmental energy leading to over-high current or the over-low environmental energy leading to frequent charging of the vehicle battery, reducing the service life of the vehicle battery, the environmental energy corresponding to the environmental parameter is executed idle operation.
[0093] Step 51: When the environmental parameter falls within the reasonable parameter interval and the parameter fluctuation value is greater than the parameter fluctuation threshold, the environmental energy corresponding to the environmental parameter is executed the preset vehicle battery charging operation.
[0094] The vehicle battery charging operation refers to that the system stores the electrical energy converted by the environmental energy into the vehicle battery in priority, rather than directly driving the motor. For example, when the intensity of light fluctuates greatly due to the blocking of the tree shade, the photovoltaic panel converts the light energy into electrical energy and stores it into the vehicle battery, while cutting off the direct connection between the photovoltaic electrical energy and the power system, avoiding the fluctuation affecting the driving stability.
[0095] When the environmental parameter falls within the reasonable parameter interval and the parameter fluctuation value is greater than the parameter fluctuation threshold, on the one hand, it indicates that the intensity of the current environmental energy meets the basic utilization condition and is within the range of utilization.
[0096] On the other hand, it indicates that the stability of the environmental energy is insufficient, and direct driving will lead to the decrease of the efficiency of the power system and the instability of the driving experience. Therefore, the environmental energy corresponding to the environmental parameter is executed the preset vehicle battery charging operation.
[0097] Step 52: When the environmental parameter falls within the reasonable parameter interval and the parameter fluctuation value is less than the parameter fluctuation threshold, the environmental energy corresponding to the environmental parameter is executed the preset direct conversion and discharge operation.
[0098] The direct conversion and discharge operation refers to that the system directly uses the electrical energy converted by the environmental energy to drive the motor of the vehicle without buffering through the intermediate energy storage link. For example, when the sunlight condition is appropriate, the photovoltaic panel converts the light energy into electrical current, which is converted into alternating current through the inverter and directly used to drive the motor, realizing the efficient conversion of the environmental energy into the kinetic energy of the vehicle.
[0099] When the environmental parameter falls within the reasonable parameter interval and the parameter fluctuation value is less than the parameter fluctuation threshold, it indicates that the current environmental energy is sufficient, stable and controllable, and the system can directly utilize the energy with the highest efficiency, while reducing the intervention of the energy storage link.
[0100] Optionally, it further comprises:
[0101] Step 10: Analyze the environmental parameters to determine the optimal receiving device state.
[0102] The optimal receiving device state refers to adjusting the posture or parameters of the energy receiving state through dynamic analysis of environmental parameters (such as light intensity, incident angle, etc.) to achieve the maximum energy capture efficiency and stable balance state in the current environment. The receiving device initially uses a large step coarse adjustment stage to quickly approach the potential optimal region, and after finding the optimal region, it uses a small step fine adjustment stage to lock the optimal angle. In the fine adjustment stage, if the environmental parameters are continuously decreasing for three steps under small step adjustment, it will back up to three steps ago and adjust in the opposite direction. If the environmental parameters are continuously decreasing for three steps after adjusting in the opposite direction, it will back up to three steps ago and confirm that the state is the optimal receiving device state.
[0103] For example, for a photovoltaic panel, combined with real-time light intensity, incident angle, etc. data, adjust its tilt angle and direction. Initially, use a one-step increase of 10° coarse adjustment operation, and calculate the potential interval with the maximum light intensity in real time. For example, when the photovoltaic panel angle is 30°, the light intensity is higher than that of other angles, then fine-tune the photovoltaic panel from 30°. First, increase by 1° each step from 30° upwards. If the light intensity decreases for three consecutive times, back up to three steps ago and adjust in the opposite direction by reducing 1° each step. If the light intensity decreases for three consecutive times, back up to three steps ago and confirm that the angle is the optimal receiving angle of the photovoltaic panel, indicating that the light energy receiving effect is optimal.
[0104] Step 11: Control the receiving device set on the car to be in the optimal receiving device state and re-execute steps 1-52.
[0105] Optionally, it also includes:
[0106] Step 6: Collect historical environmental parameters before step 11.
[0107] The historical environmental parameters refer to the comprehensive state obtained by statistical analysis based on the environmental parameter data collected in the past period of time, which is used to reflect the long-term stability or trend of environmental energy. For example, based on the light intensity collected in the past 5 minutes, the stability of solar energy in the past 5 minutes is reflected, and the stability of future solar energy is predicted.
[0108] Step 60: If the historical environmental parameters do not fall within the reasonable parameter range, and the environmental parameters fall within the reasonable parameter range and the parameter fluctuation value is less than the parameter fluctuation threshold, perform the car battery charging operation on the environmental energy corresponding to the environmental parameters, rather than performing the direct conversion discharge operation.
[0109] The historical environment parameter refers to a set of environment parameter data in the past period of time. If the parameter of the data set is continuously or cumulatively out of the parameter reasonable range for more than a set time length, the historical environment parameter is considered to be out of the parameter reasonable range. For example, if the historical light intensity accumulated for 2 minutes in 5 minutes is lower than the parameter reasonable range, which exceeds the preset time length of 1 minute, the historical environment parameter is considered to be out of the parameter reasonable range, even if the future measured light intensity is still in the reasonable range, the vehicle-mounted battery charging operation is still performed. Thereafter, the system still determines the historical environment parameter in real time and automatically triggers a new round of adjustment.
[0110] When the historical environment parameter is out of the parameter reasonable range, and the environment parameter is in the parameter reasonable range and the parameter fluctuation value is less than the parameter fluctuation threshold, it indicates that the current environmental energy is in a state of "critical availability but questionable sustainability". The specific performance is that the current instantaneous energy intensity just meets the minimum threshold of device start or energy capture, but due to the historical data reflecting long-term energy shortage or severe fluctuation, the current "up to standard" state may be a transient phenomenon caused by temporary cloud dispersion, gusty wind, rather than stable supply. If it is utilized, the environmental energy may quickly fall out of the reasonable range, resulting in frequent start-stop of the device or invalid charging and discharging of the energy storage system, and ultimately reducing the overall energy efficiency.
[0111] Step 61: If the historical environment parameter is in the parameter reasonable range, perform the direct conversion discharge operation.
[0112] The historical environment parameter refers to a set of environment parameter data in the past period of time. If the parameter of the data set is continuously or cumulatively out of the parameter reasonable range for more than a set time length, the historical environment parameter is considered to be out of the parameter reasonable range. For example, if the historical light intensity accumulated for 2 minutes in 5 minutes is lower than the parameter reasonable range, which exceeds the preset time length of 1 minute, the historical environment parameter is considered to be out of the parameter reasonable range, even if the future measured light intensity is still in the reasonable range, the vehicle-mounted battery charging operation is still performed. Thereafter, the system still determines the historical environment parameter in real time and automatically triggers a new round of adjustment.
[0113] When the historical environment parameter is in the parameter reasonable range, it indicates that the supply of the current environmental energy is relatively stable, and the system has strong predictability. At the same time, the intensity of the environmental energy continuously meets the basic threshold of the direct conversion discharge, which can support efficient energy conversion and avoid interruption or efficiency reduction due to energy shortage.
[0114] Reference Figure 3 The method also includes performing the vehicle-mounted battery charging operation on the environmental energy corresponding to the environment parameter when the environment parameter is in the parameter reasonable range or out of the parameter reasonable range, and the parameter fluctuation value is greater than the parameter fluctuation threshold. The method comprises the following steps:
[0115] Step 62: Determine the environment parameter baseline based on the historical environment parameter.
[0116] The environmental parameter baseline is a stable baseline determined based on statistical analysis of historical environmental parameters, and is used to measure the "normal level" of the current environmental energy. The analysis method can use linear regression analysis of data to obtain the baseline, or can obtain the baseline according to the least square method or directly select the median as the baseline.
[0117] As the light intensity parameter in the past 15 minutes is collected, a baseline is obtained based on the linear regression of the data set, which is the environmental parameter baseline of the light energy type.
[0118] Step 620: When the value of the environmental parameter exceeds the value corresponding to the environmental parameter baseline, the environmental parameter is disassembled based on the environmental parameter baseline to obtain the excess environmental parameter and the baseline environmental parameter.
[0119] Referring to Figure 3 , curve 1 is the curve of the environmental parameter changing with time, and curve 2 is the environmental parameter baseline. The midpoint A to B segment and the midpoint D to E segment of curve 1 are considered as the excess environmental parameter, and the C to F segment is considered as the baseline environmental parameter. The excess environmental parameter is the value part exceeding the environmental parameter baseline, and the excess part is obtained by subtracting the baseline value from the real-time environmental parameter value.
[0120] The system disassembles the environmental parameter into two parts, namely the baseline environmental parameter and the excess environmental parameter. For example, based on the linear regression of historical light intensity data, the light energy baseline is obtained, and the real-time light energy baseline is 400 W / m 2 After that, the real-time light intensity is measured as 480 W / m 2 , of which 80 W / m 2 is considered as the excess environmental parameter, and 400 W / m 2 is considered as the baseline environmental parameter. If the real-time light intensity decreases to 350 W / m 2 , all of them are baseline environmental parameters.
[0121] When the real-time environmental parameter exceeds the baseline, it indicates that the environmental energy supply intensity corresponding to the environmental parameter is high, and directly using all the environmental energy for direct discharge operation may cause fluctuations in the driving power of the vehicle, affecting the normal operation of the motor. Directly using all the environmental energy for vehicle battery charging operation will cause energy loss in the collection-storage-release process, reducing the utilization efficiency of environmental energy.
[0122] Step 621: The environmental parameter is modified based on the baseline environmental parameter to obtain the modified environmental parameter.
[0123] The trimming environment parameter refers to limiting the part exceeding the baseline in the real-time environment parameter to the baseline value, while keeping the part below the baseline original value, thereby forming a parameter set with smaller and more stable fluctuations. The trimmed environment parameter corresponds to the environment energy part directly performing the discharge operation. Through the "peak clipping and valley retaining" strategy, the process suppresses the sharp fluctuations of the environment parameter, providing smooth decision basis for subsequent energy management. Assuming that the historical light baseline is 400 W / m 2 When the real-time light is 480 W / m 2 , the trimmed parameter is 400 W / m 2 , and if the real-time light is 350 W / m 2 , the trimmed parameter is still 350 W / m 2 .
[0124] Step 622: determining the trimmed parameter fluctuation value based on the trimmed environment parameter.
[0125] The trimmed parameter fluctuation value refers to the fluctuation quantization value obtained by statistical analysis of the trimmed environment parameter after "peak clipping and valley retaining", which is used to verify whether the stability of the trimmed parameter meets the system requirements.
[0126] The determination method can be to calculate the standard deviation of the trimmed environment parameter to obtain the parameter fluctuation value.
[0127] Step 6220: when the value corresponding to the environment parameter baseline does not fall within the parameter reasonable interval, the environment parameter corresponding environment energy step 5.
[0128] The value corresponding to the environment parameter baseline does not fall within the parameter reasonable interval, indicating that the environment energy corresponding to the environment parameter after segmentation cannot still be efficiently utilized, so the environment energy is judged according to the original step 5 to determine whether the environment energy is used for idle operation, vehicle-mounted battery charging operation or direct conversion discharge operation.
[0129] Step 6221: when the value corresponding to the environment parameter baseline falls within the parameter reasonable interval and the trimmed parameter fluctuation value is less than the parameter fluctuation threshold, the environment energy corresponding to the baseline environment parameter is executed directly for discharge operation, and the environment energy corresponding to the excess environment parameter is executed for vehicle-mounted battery charging operation.
[0130] When the environment parameter baseline is in the reasonable interval and the trimmed fluctuation value is lower than the threshold, the system directly uses the energy corresponding to the baseline environment parameter for driving, and at the same time uses the energy corresponding to the excess environment parameter for vehicle-mounted battery charging. For example, based on the historical light intensity data, linear regression is performed to obtain the light energy baseline, and the real-time light energy baseline is obtained as 400 W / m 2 , and the measured real-time light intensity is 480 W / m 2 , of which 80 W / m 2The part is considered as an excess environmental parameter, which is used to charge the vehicle battery and buffer transient fluctuations. While the 400 W / m 2 The part is considered as a reference environmental parameter, which is directly used to drive the motor. If the real-time illumination decreases to 350 W / m 2 , all are reference environmental parameters, and the system only performs discharging operation without charging. In terms of operation, the photovoltaic output is divided into two paths, one directly connected to the motor driver, and the other connected to the battery through the converter. The current intensity of the two paths is distributed according to the ratio of the reference environmental parameter and the excess environmental parameter.
[0131] When the value corresponding to the environmental parameter reference line falls within the reasonable parameter interval and the modified parameter fluctuation value is less than the parameter fluctuation threshold, it means that the environmental parameter after segmentation can be used efficiently. After the segmentation of environmental energy, it can not only maintain the stability of environmental energy utilization, but also store the originally unusable environmental energy in the vehicle battery, ensuring the diversity and efficiency of environmental energy utilization.
[0132] Step 6222: When the value corresponding to the environmental parameter reference line falls within the reasonable parameter interval and the modified parameter fluctuation value is greater than the parameter fluctuation threshold, perform the preset vehicle battery charging operation on the environmental energy corresponding to the environmental parameter.
[0133] When the value corresponding to the environmental parameter reference line falls within the reasonable parameter interval and the modified parameter fluctuation value is greater than the parameter fluctuation threshold, it means that the environmental energy is still very unstable after the "peak clipping and valley retaining" processing, and the environmental energy quality is not high enough to be directly used for direct conversion discharging operation, but the corresponding environmental energy can still be used for vehicle battery charging. Through energy storage, it can buffer fluctuations and ensure the stability of environmental energy utilization.
[0134] Referring to Figure 4 , when the modified parameter fluctuation value is greater than the parameter fluctuation threshold, the method for performing vehicle battery charging operation on the environmental energy corresponding to the environmental parameter includes:
[0135] Step 62210: Based on the environmental parameter category, find the corresponding preset conversion mode from the preset parameter conversion database.
[0136] The conversion mode refers to a quantitative calculation method for converting different types of environmental parameters into electrical energy output through a preset mathematical model and engineering experience formula. For example, based on the light energy conversion formula, the light intensity is converted into current intensity according to the existing photovoltaic panel conversion rate, area, and system voltage; based on the wind energy conversion formula, the wind energy intensity is converted into current intensity according to the wind speed, generator power, and system voltage.
[0137] The parameter conversion database is a structured data set for storing the power conversion models, engineering parameters and constraint conditions corresponding to different environmental parameter categories. The conversion mode is obtained by actual measurement by the staff. By inputting different types of environmental parameters, the current intensity generated by the environmental energy corresponding to the environmental parameters is recorded. According to the input parameters and the generated current intensity, a fitting curve is obtained, and the corresponding fitting curve formula is obtained as a kind of environmental parameter conversion mode and stored in the parameter database.
[0138] Step 62211: converting the historical environmental parameters based on the conversion mode to obtain the converted historical environmental parameters.
[0139] The converted historical environmental parameters refer to the conversion of the historically stored environmental parameters into corresponding electrical energy values through the preset conversion mode. The core is to map the non-electrical environmental parameters into comparable electrical energy indicators, so as to analyze the energy availability or design the energy management strategy.
[0140] Step 62212: determining the multi-environmental parameter baseline based on any number of different categories of converted historical environmental parameters.
[0141] The multi-environmental parameter baseline refers to a comprehensive energy curve constructed by integrating the electrical energy indicators converted from environmental parameters of different categories, and the baseline obtained by linear regression or least square method. The core purpose is to quantify the overall feasibility of multi-environmental energy, and to lay the foundation for joint energy supply of environmental energy corresponding to different types of environmental parameters.
[0142] Step 62213: decomposing different types of environmental parameters based on the multi-environmental parameter baseline to obtain kinetic energy conversion environmental parameters and electrical energy conversion environmental parameters.
[0143] Reference Figure 4, curve 1 corresponds to the conversion of the A-type environmental parameter to obtain the conversion history environmental parameter curve, curve 2 corresponds to the conversion of the A-type environmental parameter and the B-type environmental parameter to obtain the conversion history environmental parameter cumulative value curve, and curve 3 is the multi-environmental parameter baseline. The numerical value of the segment from point A to point B represents the conversion history environmental parameter intensity of the A-type environmental parameter, and the numerical value of the segment from point B to point C represents the conversion history environmental parameter intensity of the B-type environmental parameter. The segment from point E to point F of curve 2 in the upper part of curve 3 represents the electric energy conversion environmental parameter, and the segment from point D to G of curve 2 in the lower part of curve 3 represents the kinetic energy conversion environmental parameter. The kinetic energy conversion environmental parameter refers to the current or power part directly used to drive the load after the conversion of different types of environmental energy, which is usually limited by the multi-environmental parameter baseline to avoid system overload caused by energy fluctuations. The electric energy conversion environmental parameter refers to the fluctuation part exceeding the baseline after the conversion of environmental energy. Such parameters correspond to the environmental energy used for vehicle battery energy storage. The cumulative value of different types of kinetic energy conversion environmental parameters tends to the multi-environmental parameter baseline as much as possible, that is, when the environmental parameter exceeds the corresponding point on the multi-environmental parameter baseline, the cumulative value of the kinetic energy conversion environmental parameter is converted according to the point of the multi-environmental parameter baseline, and when the environmental parameter is less than the corresponding point on the multi-environmental parameter baseline, the cumulative value of the kinetic energy conversion environmental parameter is the environmental parameter value.
[0144] For example, based on historical data, the obtained multi-environmental parameter baseline is 15 A, the real-time light intensity is converted to 10 A, and the real-time wind speed is converted to 7 A. The total current is 17 A, which exceeds the baseline 15 A. The light energy conversion current 10 A is regarded as the kinetic energy conversion environmental parameter, and the wind energy conversion current 7 A is split into 5 A of kinetic energy conversion environmental parameter and 2 A of electric energy conversion environmental parameter; if the real-time light intensity is converted to 5 A, and the real-time wind speed is converted to 6 A, both types of parameters are regarded as kinetic energy conversion environmental parameters.
[0145] Step 62214: modifying different types of environmental parameters based on the multi-environmental parameter baseline to obtain modified multi-environmental parameters.
[0146] The modified multi-environmental parameter refers to the division of different types of real-time environmental parameters by the multi-environmental parameter baseline. The converted energy is added, and the part exceeding the multi-environmental parameter baseline is limited to the baseline, and the part below the multi-environmental parameter baseline remains the original value, thereby forming a multi-parameter matrix or data set with smaller and more stable fluctuations.
[0147] Step 62215: determining the modified multi-parameter fluctuation value based on the modified multi-environmental parameter.
[0148] The trimmed multi-environment parameter fluctuation value is a discrete degree of the multi-environment parameter data set obtained by trimming the multi-environment parameter based on the multi-environment parameter baseline, and is used to quantify the fluctuation degree of the adjusted parameter. Its determination method can be standard deviation or variance calculation on the multi-environment parameter matrix or data set, and the smaller the value, the more stable the recombined energy output.
[0149] Step 622150: When the value corresponding to the multi-environment parameter baseline does not fall within the parameter reasonable interval, the environment parameter corresponding environment energy is executed in step 5.
[0150] When the value corresponding to the multi-environment parameter baseline is not within the parameter reasonable interval, it proves that the environment energy synergistic energy supply effect is poor, so the environment energy returns to the single processing mode, and starts to judge again according to step 5, that is, the real-time environment parameter is compared with the parameter reasonable interval and the parameter fluctuation value is compared with the parameter fluctuation threshold value, and the normal operation is executed according to the value comparison result.
[0151] Step 622151: When the trimmed multi-environment parameter fluctuation value is less than the parameter fluctuation threshold value, the environment energy corresponding to the kinetic energy conversion environment parameter is executed directly converted discharge operation, and the environment energy corresponding to the electric energy conversion environment parameter is executed vehicle-mounted battery charging operation.
[0152] When the multi-environment parameter fluctuation value is less than the parameter fluctuation threshold value, it proves that the environment energy synergistic energy supply effect is good, wherein the kinetic energy conversion environment parameter part will execute direct conversion discharge operation, that is, the environment energy is converted into electric energy and directly used for automobile running, and the electric energy conversion environment parameter part will execute vehicle-mounted battery charging operation, that is, the environment energy is converted into electric energy and stored in the vehicle-mounted battery. For example, based on historical data, the obtained multi-environment parameter baseline is 15 A, and the real-time light intensity is converted to 10 A, and the real-time wind speed is converted to 7 A. The light energy 10 A is regarded as the kinetic energy conversion environment parameter, and this part will execute direct conversion discharge operation to directly provide energy for automobile running. The wind energy 7 A is divided into 5 A kinetic energy conversion environment parameter and 2 A electric energy conversion environment parameter, wherein the environment energy corresponding to 5 A of wind energy will directly provide energy for automobile running, and the environment energy corresponding to 2 A will be stored in the vehicle-mounted battery; if the real-time light intensity is converted to 5 A, and the wind speed is converted to 6 A, both parameters are regarded as kinetic energy conversion environment parameters, and both directly provide energy for automobile running. In the splitting process, the smaller part of the environment energy is preferentially split.
[0153] Step 622152: When the trimmed multi-environment parameter fluctuation value is greater than the parameter fluctuation threshold value, the environment parameter corresponding environment energy is executed vehicle-mounted battery charging operation.
[0154] When the multi-parameter fluctuation value is greater than the parameter fluctuation threshold, it proves that the environmental energy collaborative power supply effect is poor, at this time the environmental energy corresponding to the environmental parameter is executed to charge the vehicle-mounted battery. For example, even if solar energy and wind energy are used in a collaborative power supply manner, the multi-parameter fluctuation value is still high, so the photovoltaic power and wind power system is disconnected from the direct connection of the power system to avoid fluctuation affecting the driving stability.
[0155] When the environmental parameter does not fall within the parameter reasonable interval, the method for still performing the vehicle-mounted battery charging operation, the method comprising:
[0156] Step 7: Calculate the reasonable allocation quantity based on the environmental parameter and the parameter reasonable interval.
[0157] The reasonable allocation quantity is calculated based on the real-time value of one or more types of environmental energy and its preset reasonable interval, and the number of vehicle-mounted batteries that can simultaneously receive current when the environmental energy charges the vehicle-mounted battery. For example, based on the actual parameter, the instantaneous light energy generated current intensity reaches 50 A, which is higher than the current carrying upper limit of a single battery pack 10 A, so the current is evenly distributed to 5 groups.
[0158] Step 70: Adjust the vehicle-mounted battery charging operation based on the reasonable allocation quantity to obtain a synchronous charging operation, and the synchronous charging operation is to distribute the environmental energy corresponding to the environmental parameter to the vehicle-mounted battery corresponding to the reasonable allocation quantity.
[0159] The synchronous charging operation is to distribute the environmental energy to the corresponding number of battery packs for charging based on the distribution ratio. Especially in a high-current scenario, load balancing is achieved by parallel charging of multiple battery packs. When the environmental wind speed suddenly increases, causing the generator to output excessive current, the system will trigger the synchronous charging operation. For example, if the reasonable allocation quantity is 3 battery packs, the system will distribute the excess current to 3 battery packs for charging (such as each battery pack bearing 1 / 3 of the total current), rather than a single battery pack bearing the entire current, thereby avoiding the risk of overload and improving energy utilization efficiency.
[0160] Also included is an operation checking method when the environmental parameter does not fall within the parameter reasonable interval, or when the environmental parameter falls within the parameter reasonable interval and the parameter fluctuation value is greater than the parameter fluctuation threshold, the method comprising:
[0161] Step 8: Determine the environmental parameter category based on the environmental parameter.
[0162] Step 80: Find the corresponding detection means from the preset detection database based on the environmental parameter category.
[0163] The detection database is a preset detection method library established for various environmental parameters (such as light, wind speed, etc.), which stores detection techniques and equipment corresponding to different parameters, and stores different environmental fluctuations and labels possible causes. The detection database is based on a large number of experiments conducted by the staff. During the experiment, the staff records the environmental parameter fluctuations encountered during the vehicle driving process and their causes and detection methods, and uploads them to the detection database, so that they form a corresponding relationship of phenomenon - cause - treatment method. For example, for the running effect of the light energy receiving system such as the photovoltaic panel during driving, the detection database will store means such as infrared detection of photovoltaic panel obstruction, temperature sensor detection of photovoltaic panel temperature, etc. The detection means is a specific detection method (such as infrared identification, image analysis, etc.) called from the database according to the environmental parameter category, which is used to identify the parameter fluctuation cause. For example, when the photovoltaic system detects a sudden drop in light intensity during vehicle driving, the system calls the detection means corresponding to the "light parameter" (such as real-time imaging of the camera) from the detection database. If the image shows that the cloud layer sweeps over the photovoltaic panel, it is determined that this fluctuation type is cloud layer obstruction; if it is detected that there is a leaf shadow on the surface of the photovoltaic panel, it is determined to be an object obstruction.
[0164] Step 81: detecting the environmental parameter by using the detection means to obtain the parameter fluctuation type.
[0165] The parameter fluctuation type refers to the direct cause classification identified by a specific detection means that causes the abnormal change of the environmental parameter. Its essence is to classify the fundamental cause of the dynamic change of the parameter, which needs to be comprehensively judged in combination with the environmental parameter category (such as light, temperature, wind speed, etc.) and the corresponding detection method (such as image analysis, infrared sensing, etc.), which is used to distinguish the parameter fluctuations caused by different causes, and provides a basis for subsequent energy management or system regulation. For example, when the light intensity instantaneously decreases and then recovers, combined with infrared detection that there is no obstruction above the photovoltaic panel, this light intensity fluctuation is classified as an instantaneous fluctuation type, and the specific reason may be that the cloud layer is instantaneously obstructed or other high-altitude obstruction temporarily obstructs light energy, etc. Or when the light intensity instantaneously decreases and does not recover, combined with infrared detection that there is an object obstruction above the photovoltaic panel, this light intensity is classified as a long-term fluctuation type, and the specific reason may be that there is a foreign matter obstructing the photovoltaic panel.
[0166] Step 82: obtaining the historical charging and discharging operation when the parameter fluctuation type is a preset instantaneous fluctuation type, the historical charging and discharging operation being an idle operation, a vehicle-mounted battery charging operation or a direct conversion discharging operation performed previously.
[0167] Transient fluctuation type refers to short-term, reversible abnormal changes in environmental parameters caused by external temporary disturbances (such as rapid movement of clouds, temporary shading of leaves, etc.), with both duration and impact below preset thresholds, and the system determines that no intervention is required. For example, during vehicle travel, the photovoltaic system detects that the light intensity drops from 500 W / m2 to 300 W / m2 within 1 second and then immediately recovers. By retrieving the camera image, it is identified that the edge of the cloud rapidly sweeps across the photovoltaic panel, and the infrared camera finds no obstruction. The system determines that it is a transient fluctuation and does not change the current charging and discharging mode. Historical charging and discharging operation refers to the record of energy distribution actions performed by the system in the past period of time, including idle operation: environmental energy is not utilized, such as stopping photovoltaic charging when there is insufficient light; vehicle battery charging operation: converting environmental energy into electrical energy and storing it in the battery; and direct conversion discharge operation: directly converting environmental energy into electrical energy to drive the load.
[0168] Step 83: Perform historical charging and discharging operation.
[0169] Performing historical charging and discharging operation refers to the process of dynamically maintaining or adjusting the existing energy management mode to optimize system stability and efficiency based on the system's recorded past energy distribution strategies (such as idle, vehicle battery charging, or direct conversion discharge) and the current environmental parameter fluctuation characteristics.
[0170] Step 84: Determine the comparison result when the parameter fluctuation type is the preset long-term fluctuation type, and perform normal operation.
[0171] Long-term fluctuation type refers to abnormal changes with long duration and irreversible impact caused by external persistent disturbances (such as persistent cloud cover, device surface contamination, sensor failure, etc.). For example, the photovoltaic system detects that the light intensity is continuously below the threshold (such as leaves covering the photovoltaic panel), and the infrared detection has determined that there is an obstruction, so this fluctuation is determined to be a long-term fluctuation (both duration and impact are out of limits). Normal operation refers to the system strictly following the preset process to execute complete judgment and decision logic after identifying the long-term fluctuation type, i.e., reusing the explained normal operation in step 5.
[0172] When the parameter fluctuation type is the preset transient fluctuation type, the method for obtaining and performing the historical charging and discharging operation includes:
[0173] Step 840: Based on the environmental parameter category and the parameter fluctuation type, find the corresponding processing means from the preset processing database.
[0174] The processing database is a structured storage of preset rules for associating environmental parameter categories (such as light, temperature, wind speed, etc.), parameter fluctuation types (such as long-term fluctuation, instantaneous fluctuation), and corresponding processing means. Its core function is to quickly match solutions through parameter categories and fluctuation types. For example, it has been identified that it is a long-term fluctuation type, and there is an obstruction on the photovoltaic panel identified by infrared, then find a method to solve this fluctuation from the processing database. The processing means refers to the specific execution operation matched by the system from the processing database according to the parameter fluctuation type, which is used to eliminate or adapt to environmental parameter abnormalities. For example, under the above conditions, the surface stain of the photovoltaic panel is removed by using a cleaning device.
[0175] Step 841: Control the preset processing device to adopt the processing means, and re-execute steps 8-84.
[0176] Re-execution refers to that after the system takes the processing means, it detects the environmental parameters again to verify whether the fluctuation is eliminated, and according to the result, it cyclically executes the above-mentioned process of judging the fluctuation type, finding the processing means, and executing the processing means.
[0177] Step 842: Analyze the historical parameter fluctuation type.
[0178] After the above-mentioned processing means is applied, the historical parameter fluctuation type after processing is analyzed in real time to determine whether the parameter fluctuation before and after processing disappears or changes the parameter fluctuation type.
[0179] Step 843: If the parameter fluctuation type returns to the historical parameter fluctuation type, execute the historical charging and discharging operation.
[0180] When the system detects that the current environmental parameter fluctuation type returns to the fluctuation type at a certain time in the historical record (such as from “long-term cloud obstruction” to “stable sunny day”), and the parameter value returns to the corresponding reasonable interval, the system will automatically call and execute the charging and discharging operation mode recorded at that historical time (such as charging the vehicle-mounted battery, directly converting and discharging, or idle operation), which is considered as the fluctuation has been solved, and there is no need to re-determine the strategy, and the historical decision is directly reused to improve the response efficiency.
[0181] Step 844: If the parameter fluctuation type does not return to the historical parameter fluctuation type, continue to adopt the processing means for processing, and accumulate the processing times.
[0182] The processing times refer to the cumulative execution times of the preset processing means continuously called by the system during the same parameter fluctuation type not being restored, which is used to measure the intervention frequency of the system to abnormal states. For example, after executing the operation of removing the surface stain of the photovoltaic panel once, if the long-term obstruction stain on the photovoltaic panel has not been eliminated, the operation of removing the surface stain of the photovoltaic panel is executed again, and the processing times value is increased by one.
[0183] Step 8440: Continue to use the processing means to process until the parameter fluctuation type returns to the historical parameter fluctuation type or the number of processing times is greater than the effective reasonable critical value when the number of processing times is less than the preset effective reasonable critical value.
[0184] The effective reasonable critical value refers to the maximum allowed upper limit of the number of processing times preset by the system based on the comprehensive consideration of processing efficiency, resource consumption and risk control when dealing with a specific parameter fluctuation. For example, when bird droppings block the surface of a photovoltaic panel, the blockage is detected and a cleaning operation is performed, at which time the number of processing times is 1. Subsequent re-inspection results show that the blockage has not disappeared, so the cleaning operation is performed again, at which time the number of processing times is 2. If the blockage disappears after the third cleaning, the system ends processing, or if the blockage still exists after the third cleaning and the set effective reasonable critical value is 3, the system enters the next stage of processing state.
[0185] Step 8441: Output a preset alarm signal when the number of processing times is greater than the effective reasonable critical value.
[0186] The alarm signal refers to a preset warning information automatically triggered when the number of processing times of the system for a certain parameter fluctuation type exceeds the preset effective reasonable critical value and the fluctuation is still not eliminated. Its core function is to warn the user or the management system that the current processing means is ineffective and higher-level intervention is needed to avoid resource waste or system risk.
[0187] When the number of processing times is greater than the effective reasonable critical value, the method for outputting a preset alarm signal comprises:
[0188] Step 84410: Define the environmental parameter category as an abnormal environmental parameter category, and define the processing means corresponding to the abnormal environmental parameter category as a preset abnormal processing means.
[0189] The abnormal environmental parameter category refers to the parameter type detected by the system that is marked as "abnormal" because it exceeds the preset normal range or continuously fluctuates abnormally, i.e., the parameter type of light intensity marked as "abnormal" after the number of operations to remove bird droppings from the surface of a photovoltaic panel reaches the preset upper limit. The abnormal processing means refers to a high-priority or emergency intervention strategy preset for the abnormal environmental parameter category, which is used to quickly eliminate the impact of parameter abnormalities on the system. For example, when a simple windshield wiper cannot meet the cleaning purpose during the bird droppings cleaning process, an emergency intervention strategy needs to be used.
[0190] Step 84411: Find the corresponding equivalent means from the preset equivalent database based on the abnormal environmental parameter category and the abnormal processing means.
[0191] The equivalent database is a structured storage strategy knowledge base for associating abnormal environmental parameter categories with corresponding equivalent means. The equivalent database collects and summarizes the performance and causes of environmental fluctuations that cannot be removed by the above-mentioned processing means through the staff, and further processes based on these abnormal environmental parameters. If the further processing can cope with the abnormal environmental parameters, it will be stored in the equivalent database, and the performance-reason-processing means will be established. The core function is to quickly match alternative solutions through parameter categories and abnormal types when the regular processing means fail, ensuring that the system quickly recovers to stability. The equivalent means refers to the high-priority alternative strategy matched and executed by the system from the equivalent database when the regular processing means fail or reach the critical number, which is used to quickly eliminate the impact of abnormalities on the system. For example, when simple windshield cleaning cannot meet the cleaning purpose, an advanced method based on windshield cleaning method will be used, such as combining car exhaust system with windshield cleaning to blow off the dirt on the photovoltaic panel, or adding low-frequency vibration during windshield cleaning.
[0192] Step 844110: When there is an equivalent means in the processing means, take the equivalent means to process the abnormal environmental parameter category.
[0193] The equivalent means is a high-priority alternative strategy automatically matched and executed by the system from the equivalent database, such as when the windshield cannot remove the bird droppings within the specified number of times, indicating that the bird droppings are likely to have dried and adhered to the roof. Then use a miniature electromagnetic vibrator to use 10-20 seconds of low-frequency vibration combined with the windshield to break and fall off the dried bird droppings.
[0194] Step 844111: When there is no equivalent means in the processing means, then correct the environmental parameter.
[0195] The environmental parameter correction is when all preset processing means, including regular processing means and equivalent means, cannot eliminate the influence of abnormal environmental parameter categories, the system directly compensates or avoids the influence of abnormalities on system function by adjusting the value or calculation logic of environmental parameters. The core is to reconstruct the parameters or adjust the model so that the system can still maintain output rationality or functional stability when the abnormality exists. For example, if the abnormal environmental parameter category persists and cannot be eliminated by intervention, such as bird droppings permanently blocking photovoltaic panels, the light area of the blocked area will be deducted and the power generation will be recalculated based on the remaining effective area.
[0196] It also includes the case where the environmental parameter does not fall within the parameter reasonable interval, if the environmental parameter is lower than the parameter reasonable interval and the parameter fluctuation value is less than the parameter fluctuation threshold, the method of performing the vehicle battery charging operation on the environmental energy corresponding to the environmental parameter is still used, the method comprising:
[0197] Step 9: Find a reasonable battery charging scheme based on environmental parameters and parameter reasonable interval.
[0198] The battery charging scheme refers to the charging logic of dynamically adjusting the energy distribution strategy according to the environmental energy supply level, the main battery state and the secondary battery characteristics. That is, not falling. For example, the current generated by the low environmental energy is too small, the main battery stops charging to avoid inefficient loss, and the low-quality energy (such as weak light) that is originally abandoned is stored in the secondary battery, reducing the burden of the main battery.
[0199] Step 90: Perform a reasonable battery charging scheme on the environmental energy corresponding to the environmental parameters.
[0200] According to the supply level of environmental energy such as light intensity and wind strength, dynamically adjust the energy distribution strategy, preferentially guarantee the health of the main battery, and at the same time use the secondary battery to absorb low-quality or redundant energy, to realize the charging logic of maximizing the overall energy utilization rate and system stability. For example, when it is raining, the light intensity is less than 100 W / m 2 Charge the secondary battery with light energy to avoid deep discharge damage.
[0201] The above is only the preferred embodiment of the present application, and the protection scope of the present application is not limited to the above-mentioned embodiments. Any technical solution falling within the scope of the present application is within the protection scope of the present application. It should be noted that for ordinary technical personnel in the technical field, some improvements and decorations without departing from the principles of the present application are also considered as the protection scope of the present application.
Claims
1. A method for charging and discharging a vehicle battery, characterized in that, include: Step 1: Receive environmental parameters; Step 2: Determine the category of environmental parameters based on the environmental parameters; Step 3: Based on the environmental parameter category, find the corresponding reasonable range of parameters and parameter fluctuation threshold from the preset parameter database; Step 4: Analyze the environmental parameters to obtain parameter fluctuation values; Step 5: Determine the comparison result based on the environmental parameters and the parameter fluctuation values, and perform normal operations. The specific method for determining the comparison result and performing the normal operations is as follows: Step 50: When the environmental parameters do not fall within the reasonable range of the parameters, perform a preset idle operation on the environmental energy corresponding to the environmental parameters; Step 51: When the environmental parameter falls within the reasonable range of the parameter and the fluctuation value of the parameter is greater than the fluctuation threshold of the parameter, perform a preset on-board battery charging operation on the environmental energy corresponding to the environmental parameter; Step 52: When the environmental parameter falls within the reasonable range of the parameter and the fluctuation value of the parameter is less than the fluctuation threshold of the parameter, the environmental energy corresponding to the environmental parameter is subjected to a preset direct conversion discharge operation.
2. A method for charging and discharging a vehicle battery according to claim 1, characterized in that, Also includes: Step 10: Analyze the environmental parameters to determine the optimal receiving device status; Step 11: Control the receiving device installed on the vehicle to be in the optimal receiving device state and re-execute steps 1-52.
3. A method for charging and discharging a vehicle battery according to claim 1, characterized in that, Also includes: Step 6: Collect historical environmental parameters before step 11; Step 60: If the historical environmental parameters do not fall within the reasonable range of the parameters, and the environmental parameters fall within the reasonable range of the parameters and the parameter fluctuation value is less than the parameter fluctuation threshold, the environmental energy corresponding to the environmental parameters will be charged by the vehicle battery instead of the direct conversion discharge operation. Step 61: If the historical environmental parameters fall within the reasonable range of the parameters, execute the direct conversion discharge operation.
4. A method for charging and discharging a vehicle battery according to claim 3, characterized in that, The method further includes a method for performing on-board battery charging operation on the environmental energy corresponding to the environmental parameter when the environmental parameter falls within or does not fall within the reasonable range of the parameter, and the parameter fluctuation value is greater than the parameter fluctuation threshold. The method includes: Step 62: Determine the environmental parameter baseline based on the historical environmental parameters; Step 620: When the value corresponding to the environmental parameter exceeds the value corresponding to the environmental parameter baseline, the environmental parameter is decomposed based on the environmental parameter baseline to obtain the excess environmental parameter and the baseline environmental parameter. The baseline environmental parameter is the part that is equal to the value of the environmental parameter baseline, and the excess environmental parameter is the part that exceeds the value of the environmental parameter baseline. Step 621: Adjust the environmental parameters based on the baseline environmental parameters to obtain the adjusted environmental parameters; Step 622: Determine the fluctuation value of the trimming parameters based on the trimming environment parameters; Step 6220: When the value corresponding to the environmental parameter baseline does not fall within the reasonable range of the parameter, execute step 5 on the environmental energy corresponding to the environmental parameter; Step 6221: When the value corresponding to the environmental parameter baseline falls within the reasonable range of the parameter and the fluctuation value of the adjustment parameter is less than the parameter fluctuation threshold, the environmental energy corresponding to the baseline environmental parameter is subjected to the direct conversion discharge operation, and the environmental energy corresponding to the excess environmental parameter is subjected to the on-board battery charging operation. Step 6222: When the value corresponding to the environmental parameter baseline falls within the reasonable range of the parameter and the fluctuation value of the adjustment parameter is greater than the parameter fluctuation threshold, the environmental energy corresponding to the environmental parameter is used to perform the vehicle battery charging operation.
5. A method for charging and discharging a vehicle battery according to claim 4, characterized in that, When the fluctuation value of the adjustment parameter is greater than the parameter fluctuation threshold, the method for performing the on-board battery charging operation on the environmental energy corresponding to the environmental parameter includes: Step 62210: Based on the environmental parameter category, find the corresponding preset conversion method from the preset parameter conversion database; Step 62211: Convert the historical environmental parameters based on the conversion method to obtain the converted historical environmental parameters; Step 62212: Determine a multivariate environmental parameter baseline based on any number of different categories of the transformation history environmental parameters; Step 62213: Based on the aforementioned multi-element environmental parameter baseline, decompose the different types of environmental parameters to obtain kinetic energy conversion environmental parameters and electrical energy conversion environmental parameters; Step 62214: Based on the baseline of the multivariate environmental parameters, adjust the different types of environmental parameters to obtain adjusted multivariate environmental parameters; Step 62215: Determine the fluctuation value of the trimmed multivariate parameters based on the trimmed multivariate environmental parameters; Step 622150: When the value corresponding to the baseline of the multivariate environmental parameters does not fall within the reasonable range of the parameters, execute step 5 on the environmental energy corresponding to the environmental parameters; Step 622151: When the fluctuation value of the adjusted multi-parameter is less than the parameter fluctuation threshold, the environmental energy corresponding to the kinetic energy conversion environment parameter is subjected to the direct conversion discharge operation, and the environmental energy corresponding to the electrical energy conversion environment parameter is subjected to the on-board battery charging operation. Step 622152: When the fluctuation value of the adjusted multi-parameter is greater than the parameter fluctuation threshold, the environmental energy corresponding to the environmental parameter is used to perform the on-board battery charging operation.
6. A method for charging and discharging a vehicle battery according to claim 1, characterized in that, A method for performing the vehicle battery charging operation even when the environmental parameters do not fall within the reasonable range of the parameters, the method comprising: Step 7: Calculate the appropriate allocation quantity based on the environmental parameters and the reasonable range of the parameters; Step 70: Adjust the vehicle battery charging operation based on the reasonable allocation quantity to obtain a synchronous charging operation, wherein the synchronous charging operation is to allocate the environmental energy corresponding to the environmental parameters to the vehicle battery corresponding to the reasonable allocation quantity.
7. A method for charging and discharging a vehicle battery according to claim 1, characterized in that, It also includes an operation verification method when the environmental parameter does not fall within the reasonable range of the parameter, or when the environmental parameter falls within the reasonable range of the parameter and the parameter fluctuation value is greater than the parameter fluctuation threshold, the method comprising: Step 8: Determine the category of the environmental parameter based on the environmental parameters; Step 80: Based on the environmental parameter category, find the corresponding detection method from the preset detection database; Step 81: Use the aforementioned detection method to detect the environmental parameters to obtain the parameter fluctuation type; Step 82: When the parameter fluctuation type is a preset instantaneous fluctuation type, obtain the historical charging and discharging operations, the historical charging and discharging operations being the previously executed idle operation, the vehicle battery charging operation, or the direct conversion discharging operation; Step 83: Perform the historical charge / discharge operation; Step 84: When the parameter fluctuation type is a preset long-term fluctuation type, determine the comparison result and perform the normal operation.
8. A method for charging and discharging a vehicle battery according to claim 7, characterized in that, The method for obtaining and executing the historical charge-discharge operation when the parameter fluctuation type is a preset instantaneous fluctuation type includes: Step 840: Based on the environmental parameter category and the parameter fluctuation type, search for the corresponding processing method from the preset processing database; Step 841: Control the preset processing equipment to adopt the processing method, and re-execute steps 8-84; Step 842: Analyze the types of historical parameter fluctuations; Step 843: If the parameter fluctuation type recovers to the historical parameter fluctuation type, then execute the historical charge / discharge operation; Step 844: If the parameter fluctuation type does not recover to the historical parameter fluctuation type, continue to use the processing method to process it, and accumulate the number of processing times; Step 8440: When the number of processing steps is less than the preset effective and reasonable threshold, continue to use the processing method until the parameter fluctuation type recovers to the historical parameter fluctuation type or the number of processing steps is greater than the effective and reasonable threshold. Step 8441: When the number of processing steps exceeds the effective and reasonable threshold, output a preset alarm signal.
9. A method for charging and discharging a vehicle battery according to claim 8, characterized in that, The method for outputting a preset alarm signal when the number of processing operations exceeds the effective reasonable threshold includes: Step 84410: Define the environmental parameter category as a preset abnormal environmental parameter category, and define the processing method corresponding to the abnormal environmental parameter category as a preset abnormal processing method; Step 84411: Based on the abnormal environment parameter category and the abnormal handling method, find the corresponding equivalent method from the preset equivalent database; Step 844110: When the equivalent means exists in the processing means, the equivalent means are used to process the abnormal environmental parameter category; Step 844111: If there is no equivalent means in the processing means, then the environmental parameters are corrected.
10. A method for charging and discharging a vehicle battery according to claim 1, characterized in that, The method also includes a scenario where the environmental parameters do not fall within the reasonable range of the parameters, specifically when the environmental parameters are below the reasonable range. If the environmental parameters are below the reasonable range and the parameter fluctuation value is less than the parameter fluctuation threshold, a method is provided to still perform the on-board battery charging operation on the environmental energy corresponding to the environmental parameters. This method includes: Step 9: Based on the environmental parameters and the reasonable range of the parameters, find a preset reasonable battery charging scheme; Step 90: Execute the reasonable battery charging scheme on the environmental energy corresponding to the environmental parameters.
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